diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2344aabe8d834103cc6a571a0e7bd6c98241d3e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 348, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 2016, "bytes_utf8": 2016, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15251, "cached_input_tokens": 14720, "output_tokens": 3130, "reasoning_output_tokens": 2459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cec386f085974309a83b421ebf56bae478c5c30e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_02473088168c1688", + "api_calls": 0, + "input_tokens": 15251, + "cached_input_tokens": 14720, + "output_tokens": 3130, + "total_tokens": 18381, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 46003.24, + "sql_execution_elapsed_ms_total": 20.47, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..529861fa4803751a7387f59c92211e16d3b63f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:55.863842+00:00", + "ended_at": "2026-05-19T15:55:58.693920+00:00", + "elapsed_ms": 2830.05, + "returncode": 1, + "prompt_metrics": { + "chars": 10669, + "bytes_utf8": 10669, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e791142c39ae86078f93df9b901f4940c79f64d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:59.696525+00:00", + "ended_at": "2026-05-19T15:56:42.869766+00:00", + "elapsed_ms": 43173.19, + "prompt_metrics": { + "chars": 10669, + "bytes_utf8": 10669, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2696, + "bytes_utf8": 2696, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2016, + "bytes_utf8": 2016, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15251, + "cached_input_tokens": 14720, + "output_tokens": 3130, + "reasoning_output_tokens": 2459 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..57e8cbb1bf651166542f6cbd9c44ccce7d645614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=pc.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "blue", + "measure_col": "pc", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..57e8cbb1bf651166542f6cbd9c44ccce7d645614 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=pc.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "blue", + "measure_col": "pc", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e6d636aa576f7d79ebdec4538637bc40004a457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-6f8e-7042-bf6e-10585bf1936e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..808dd5b3bb2c612b1b9681b5063a1a5522749215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-6f8e-7042-bf6e-10585bf1936e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d3a454473bcb9370689a31e182a12c07fb33a29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-7e7b-75c2-94d6-3cd168875fc6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"blue\\\",\\n CAST(\\\"pc\\\" AS REAL) AS \\\"pc_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"blue\\\"\\n ORDER BY CAST(\\\"pc\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"blue\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"blue\\\" IS NOT NULL\\n AND \\\"pc\\\" IS NOT NULL\\n),\\n\\\"targets\\\" AS (\\n SELECT\\n \\\"group_counts\\\".\\\"blue\\\",\\n \\\"group_counts\\\".\\\"cnt\\\",\\n (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS \\\"target_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) +\\n CASE\\n WHEN (1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"group_counts\\\".\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM (\\n SELECT\\n \\\"blue\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"blue\\\"\\n ) AS \\\"group_counts\\\"\\n WHERE \\\"group_counts\\\".\\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"blue\\\",\\n t.\\\"target_rn\\\",\\n t.\\\"lower_rn\\\",\\n t.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"lower_rn\\\" THEN o.\\\"pc_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = t.\\\"upper_rn\\\" THEN o.\\\"pc_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"targets\\\" AS t\\n ON o.\\\"blue\\\" = t.\\\"blue\\\"\\n GROUP BY\\n o.\\\"blue\\\",\\n t.\\\"target_rn\\\",\\n t.\\\"lower_rn\\\",\\n t.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"blue\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + (\\\"target_rn\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Emulates the 90th continuous percentile of \\\"pc\\\" within each \\\"blue\\\" group in SQLite using window functions and linear interpolation, with TEXT values cast to REAL for numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15251,"cached_input_tokens":14720,"output_tokens":3130,"reasoning_output_tokens":2459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..77646f24f79e594f4eb96417b67fb7e52bfbe0c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"blue\",\n CAST(\"pc\" AS REAL) AS \"pc_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"blue\"\n ORDER BY CAST(\"pc\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"blue\"\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"blue\" IS NOT NULL\n AND \"pc\" IS NOT NULL\n),\n\"targets\" AS (\n SELECT\n \"group_counts\".\"blue\",\n \"group_counts\".\"cnt\",\n (1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS \"target_rn\",\n CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) +\n CASE\n WHEN (1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"group_counts\".\"cnt\" - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM (\n SELECT\n \"blue\",\n MAX(\"cnt\") AS \"cnt\"\n FROM \"ordered\"\n GROUP BY \"blue\"\n ) AS \"group_counts\"\n WHERE \"group_counts\".\"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n o.\"blue\",\n t.\"target_rn\",\n t.\"lower_rn\",\n t.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = t.\"lower_rn\" THEN o.\"pc_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = t.\"upper_rn\" THEN o.\"pc_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"targets\" AS t\n ON o.\"blue\" = t.\"blue\"\n GROUP BY\n o.\"blue\",\n t.\"target_rn\",\n t.\"lower_rn\",\n t.\"upper_rn\"\n)\nSELECT\n \"blue\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + (\"target_rn\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Emulates the 90th continuous percentile of \"pc\" within each \"blue\" group in SQLite using window functions and linear interpolation, with TEXT values cast to REAL for numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_02473088168c1688/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fc123432243d2f0b1d2fcbb6ac94010db755d568 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10509, "bytes_utf8": 10509, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15219, "cached_input_tokens": 12032, "output_tokens": 240, "reasoning_output_tokens": 137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18d3189a3aeac437ea0eb6b7ff4df1853f5ea3c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_024b6dfade6006ef", + "api_calls": 0, + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 240, + "total_tokens": 15459, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9777.61, + "sql_execution_elapsed_ms_total": 1.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..656639c15971529d47b6a607515e069669747b64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:47.330775+00:00", + "ended_at": "2026-05-19T15:29:57.108411+00:00", + "elapsed_ms": 9777.61, + "prompt_metrics": { + "chars": 10509, + "bytes_utf8": 10509, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 729, + "bytes_utf8": 729, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 371, + "bytes_utf8": 371, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 240, + "reasoning_output_tokens": 137 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fff2434ff9d6663b80da5c0bdafb71b02f825bde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=four_g, measure_col=mobile_wt.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "four_g", + "measure_col": "mobile_wt", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e71a0ec5a9ef6aa81f17a22cc36c9fa001a2119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-8056-71a1-9172-31a658d3ce62"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"four_g\\\", SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided grouped numeric sum template with group_col=\\\"four_g\\\" and measure_col=\\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the schema snapshot stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15219,"cached_input_tokens":12032,"output_tokens":240,"reasoning_output_tokens":137}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c165ce0e2b792b56bede80cc4f7fd5e600102c68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"four_g\", SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY total_measure DESC;","notes":"Used the provided grouped numeric sum template with group_col=\"four_g\" and measure_col=\"mobile_wt\". Cast \"mobile_wt\" to REAL because the schema snapshot stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_024b6dfade6006ef/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ecbbcc3473f84a8fd8ff77c3c4ddcb9c1bdc03ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:15.257526+00:00", + "ended_at": "2026-05-19T16:02:18.565042+00:00", + "elapsed_ms": 3307.48, + "returncode": 1, + "prompt_metrics": { + "chars": 10439, + "bytes_utf8": 10439, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7a95c0d4753352966a1170f28e88fd941c8e53a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:19.566724+00:00", + "ended_at": "2026-05-19T16:02:22.826202+00:00", + "elapsed_ms": 3259.45, + "returncode": 1, + "prompt_metrics": { + "chars": 10439, + "bytes_utf8": 10439, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2d68adf22ea266a143370f8f0989245c82e669a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_h.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "sc_h", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2d68adf22ea266a143370f8f0989245c82e669a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_h.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "sc_h", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..493d41f8e5da1ce3da90c15ae9a184c0062ba1a9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-395f-73f3-8a9a-3a198a49a490"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e13139dd6f23bbb76141f8d31fe1e43bcc2f1cbd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-395f-73f3-8a9a-3a198a49a490"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8cf528e80fc9f3323c9b08e8685bbce09f50ba28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-4a51-7ce0-b14f-9745e60466ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ba26b287e1abf16a1675df0182cee8730c33d155 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-4a51-7ce0-b14f-9745e60466ea"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_048887a06e2d2079/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..68fb717deeb6d3bc28cf2e3541e2983a00324f82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11327, "bytes_utf8": 11327, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 746, "bytes_utf8": 746, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 12032, "output_tokens": 705, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8d82cc08aa366deb363661c1eaa6fbef35c6c60b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_08128d2224ba1fe7", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 12032, + "output_tokens": 705, + "total_tokens": 16131, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15046.75, + "sql_execution_elapsed_ms_total": 1.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a4391974017b3910007787ded2d3d89863056e67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:40.581292+00:00", + "ended_at": "2026-05-19T15:40:55.628074+00:00", + "elapsed_ms": 15046.75, + "prompt_metrics": { + "chars": 11327, + "bytes_utf8": 11327, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1111, + "bytes_utf8": 1111, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 746, + "bytes_utf8": 746, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15426, + "cached_input_tokens": 12032, + "output_tokens": 705, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1453894242bb75e26913f34377029c246c56ee0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=price_range, condition_col=price_range.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "price_range", + "condition_col": "price_range", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2209bb5f78a425252ab63f1036f20025a84a3749 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"price_range\",\n SUM(CASE WHEN \"price_range\" = '0' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"price_range\" = '1' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"price_range\"\n)\nSELECT \"price_range\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Used the provided grouped ratio template with both group_col and condition_col bound to \"price_range\", and compared positive_value '0' against negative_value '1' using SQLite-compatible CASE aggregation and NULLIF to avoid division by zero."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_08128d2224ba1fe7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b550000faeeee83c29a473545e9ee9776ea62e92 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10414, "bytes_utf8": 10414, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 279, "bytes_utf8": 279, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 251, "reasoning_output_tokens": 177}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e1380aea8069c6c7da97e231335959e1adef8140 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0b9224f94410f843", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 251, + "total_tokens": 15441, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7473.96, + "sql_execution_elapsed_ms_total": 1.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..120e5a9d90acedbb67acbde0156c0a4f6166cc34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:25.669508+00:00", + "ended_at": "2026-05-19T15:33:33.143507+00:00", + "elapsed_ms": 7473.96, + "prompt_metrics": { + "chars": 10414, + "bytes_utf8": 10414, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 625, + "bytes_utf8": 625, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 279, + "bytes_utf8": 279, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 251, + "reasoning_output_tokens": 177 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43370a1e3e8ea234bdcfafc4539455f2fd2da0e2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=four_g.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "four_g", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..05c0a9c4f0df48dc63151bd1b906fe88825fcb63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-d528-70d3-9df3-c1492f586ad8"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"four_g\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the planned grouped-count template with group_col bound to \\\"four_g\\\" to inspect subgroup size distribution.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15190,"cached_input_tokens":12032,"output_tokens":251,"reasoning_output_tokens":177}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ccff003901428114f41ec0da680861fa62fae01c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"four_g\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY row_count DESC;","notes":"Uses the planned grouped-count template with group_col bound to \"four_g\" to inspect subgroup size distribution."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0b9224f94410f843/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3e076ce8e6e14ce6c969cd1f7e5be88b450416c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10409, "bytes_utf8": 10409, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 270, "bytes_utf8": 270, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 12032, "output_tokens": 358, "reasoning_output_tokens": 284}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..c78846c6a667828d41652aa0f26da30815251117 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0bde49f42a6f34e8", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 358, + "total_tokens": 15546, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20670.72, + "sql_execution_elapsed_ms_total": 1.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9c69b891c203691c74749176c79d2ffb3c0c5911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:33:04.994286+00:00", + "ended_at": "2026-05-19T15:33:25.665027+00:00", + "elapsed_ms": 20670.72, + "prompt_metrics": { + "chars": 10409, + "bytes_utf8": 10409, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1623, + "bytes_utf8": 1623, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 270, + "bytes_utf8": 270, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 358, + "reasoning_output_tokens": 284 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7773c0a8bcc57f94cae91b135607290ce4058a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=fc.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "fc", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..006256c4bd4849991f07711379c2760c4a390403 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40de-846d-7ab2-b144-16eea6ac016f"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"fc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Counts rows for each distinct value of \\\"fc\\\" to examine subgroup count distribution and size stability.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15188,"cached_input_tokens":12032,"output_tokens":358,"reasoning_output_tokens":284}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..571cb7030754e862c4620cc6f954bb068dd11afb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"fc\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY \"row_count\" DESC;","notes":"Counts rows for each distinct value of \"fc\" to examine subgroup count distribution and size stability."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0bde49f42a6f34e8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48982ad4d7c7186b86ed1e47d9f4ec1d3e15802a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10762, "bytes_utf8": 10762, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 425, "bytes_utf8": 425, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 335, "reasoning_output_tokens": 223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7408825e539c10ccf7653edee5d31b88044de9d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0c396a6af72ff036", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 335, + "total_tokens": 15613, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9657.49, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8d8c2d57e9975f1eeb17cd434b1fdba5bf525976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:28.957399+00:00", + "ended_at": "2026-05-19T16:01:38.614926+00:00", + "elapsed_ms": 9657.49, + "prompt_metrics": { + "chars": 10762, + "bytes_utf8": 10762, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 780, + "bytes_utf8": 780, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 425, + "bytes_utf8": 425, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 335, + "reasoning_output_tokens": 223 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..45a76f352163559e6ece8e5e4028c22486ac916d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=touch_screen, condition_col=four_g.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "touch_screen", + "condition_col": "four_g", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..691d567fc86850d6e9fb4d8033b02fbfbeeb7e53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-84b8-7072-abf8-2605a80435a4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"touch_screen\\\",\\n AVG(CASE WHEN \\\"four_g\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"touch_screen\\\" and condition_col=\\\"four_g\\\", comparing against the bound condition_value '0' as text to match the schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15278,"cached_input_tokens":12032,"output_tokens":335,"reasoning_output_tokens":223}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4feb87165f06d2901ac1ab18214b7cdaa2cdb23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"touch_screen\",\n AVG(CASE WHEN \"four_g\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"touch_screen\"\nORDER BY condition_rate DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"touch_screen\" and condition_col=\"four_g\", comparing against the bound condition_value '0' as text to match the schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c396a6af72ff036/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..93431c06c96b841dd34ac7d3f4a6240a43eec4f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:14.071773+00:00", + "ended_at": "2026-05-19T16:06:16.933437+00:00", + "elapsed_ms": 2861.64, + "returncode": 1, + "prompt_metrics": { + "chars": 10592, + "bytes_utf8": 10592, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2138917c7affb140fef2983328830e9def0b2286 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:17.935797+00:00", + "ended_at": "2026-05-19T16:06:21.297304+00:00", + "elapsed_ms": 3361.46, + "returncode": 1, + "prompt_metrics": { + "chars": 10592, + "bytes_utf8": 10592, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee17f94a6991645a732010bcc3ff78d35a2057c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=touch_screen, measure_col=pc.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "touch_screen", + "measure_col": "pc", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee17f94a6991645a732010bcc3ff78d35a2057c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=touch_screen, measure_col=pc.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "touch_screen", + "measure_col": "pc", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2ff3227162e06cdf1fb7c7f11fb2cc0415e08aab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-de3d-79f0-8b73-3d8bedf0cd0b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ffd2f7767b5229345c7017a1ea98893b64ba12d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-de3d-79f0-8b73-3d8bedf0cd0b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d5050a1c3e9c0b3d4a33152b1fda2a88485288f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-ed45-7c40-b943-e8f79f98437e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d522b0ae0d7d60ee842f47812cae0fc0637d986d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-ed45-7c40-b943-e8f79f98437e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0c6d673f80ad599b/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b0ea1c384b12230d43b30268fa9e830ab5c47a23 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 583, "bytes_utf8": 583, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15270, "cached_input_tokens": 14720, "output_tokens": 557, "reasoning_output_tokens": 390}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d51c06aa28baff3879150fb426004ae3d960f544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_0d249ba089be7dcd", + "api_calls": 0, + "input_tokens": 15270, + "cached_input_tokens": 14720, + "output_tokens": 557, + "total_tokens": 15827, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19116.23, + "sql_execution_elapsed_ms_total": 3.15, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f59d771107aa91c1a7765d29551544c0ff910692 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:48.277332+00:00", + "ended_at": "2026-05-19T15:44:07.393602+00:00", + "elapsed_ms": 19116.23, + "prompt_metrics": { + "chars": 10684, + "bytes_utf8": 10684, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1301, + "bytes_utf8": 1301, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 583, + "bytes_utf8": 583, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15270, + "cached_input_tokens": 14720, + "output_tokens": 557, + "reasoning_output_tokens": 390 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8dcc81d8c3d51839b95e7e0133d0dd60f6f84055 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=px_height.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "px_height", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3f7d0434f899233046a52372ce9137a6b68d3a63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e8-5535-7c10-a327-ecdc61dabcc5"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15905. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"px_height\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"px_height\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"px_height\\\" IS NOT NULL\\n)\\nSELECT \\\"px_height\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"px_height\\\" AS REAL) DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to \\\"px_height\\\" and num_tiles=10. \\\"px_height\\\" is cast to REAL for correct numeric tail bucketing and ordering because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15270,"cached_input_tokens":14720,"output_tokens":557,"reasoning_output_tokens":390}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c675066a2b8d9a571fe9ea23def46d252099ecf4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"px_height\",\n NTILE(10) OVER (ORDER BY CAST(\"px_height\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n WHERE \"px_height\" IS NOT NULL\n)\nSELECT \"px_height\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"px_height\" AS REAL) DESC;","notes":"Uses the planned Quantile Tail Slice template with measure_col bound to \"px_height\" and num_tiles=10. \"px_height\" is cast to REAL for correct numeric tail bucketing and ordering because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_0d249ba089be7dcd/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3ed39162dc9a4ef57b2a6f71188b35901606b8c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10497, "bytes_utf8": 10497, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 350, "bytes_utf8": 350, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15216, "cached_input_tokens": 12032, "output_tokens": 348, "reasoning_output_tokens": 246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ab6201781a08049eccecdb82728bc1c9c7aed1d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_10ebe8da27522d81", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 348, + "total_tokens": 15564, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9150.86, + "sql_execution_elapsed_ms_total": 1.41, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..72a3e1b667acd6968a9f0fa38a28f9d274284b53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:54.869575+00:00", + "ended_at": "2026-05-19T15:31:04.020468+00:00", + "elapsed_ms": 9150.86, + "prompt_metrics": { + "chars": 10497, + "bytes_utf8": 10497, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 712, + "bytes_utf8": 712, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 350, + "bytes_utf8": 350, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 348, + "reasoning_output_tokens": 246 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..167f087f7096108be9ee5ad4fac16e42bc429e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=n_cores, measure_col=pc.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "n_cores", + "measure_col": "pc", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 13.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b67e8119de29007adfff35cbc0118a93637db3ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-883a-79a3-be31-b0e742d8cfd5"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"n_cores\\\", SUM(CAST(\\\"pc\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"n_cores\\\" and measure_col=\\\"pc\\\". CAST was added because the schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15216,"cached_input_tokens":12032,"output_tokens":348,"reasoning_output_tokens":246}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..684c2652d71d761fdf2378f73a9a07ee4d265994 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"n_cores\", SUM(CAST(\"pc\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY \"total_measure\" DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col=\"n_cores\" and measure_col=\"pc\". CAST was added because the schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10ebe8da27522d81/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..08481bfc9e0588c4d1f99cb7c5a90548f3b49644 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11051, "bytes_utf8": 11051, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 611, "bytes_utf8": 611, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15350, "cached_input_tokens": 12032, "output_tokens": 389, "reasoning_output_tokens": 220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..18aa45fa7421189ec4cdad7c22d94d53c253c7c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_10f483ff9d7d2429", + "api_calls": 0, + "input_tokens": 15350, + "cached_input_tokens": 12032, + "output_tokens": 389, + "total_tokens": 15739, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15116.17, + "sql_execution_elapsed_ms_total": 1.65, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..28c5dfb84fe0864bbf7ddb8a71bc28c7d869797b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:28.044744+00:00", + "ended_at": "2026-05-19T15:46:43.160953+00:00", + "elapsed_ms": 15116.17, + "prompt_metrics": { + "chars": 11051, + "bytes_utf8": 11051, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1319, + "bytes_utf8": 1319, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 611, + "bytes_utf8": 611, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15350, + "cached_input_tokens": 12032, + "output_tokens": 389, + "reasoning_output_tokens": 220 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a86df187b2ed3ab7dc1e35145b548c9499102872 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=wifi, measure_col=m_dep.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "wifi", + "measure_col": "m_dep", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.7, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87959104533f90778159dece5176080f253d2edf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-c555-7323-9108-4fa11e220fdf"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15985. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"wifi\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"wifi\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"wifi\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the Relative-to-Total Extreme Threshold template with group_col=\\\"wifi\\\" and measure_col=\\\"m_dep\\\" on table \\\"m10\\\". Cast \\\"m_dep\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15350,"cached_input_tokens":12032,"output_tokens":389,"reasoning_output_tokens":220}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..716206485dd82bbeb1c016f9683949598cdf9888 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"wifi\", SUM(CAST(\"m_dep\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"wifi\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"wifi\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the Relative-to-Total Extreme Threshold template with group_col=\"wifi\" and measure_col=\"m_dep\" on table \"m10\". Cast \"m_dep\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_10f483ff9d7d2429/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..3d3d20103cbea16693d626ef763723b04b20fb6a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10751, "bytes_utf8": 10751, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 360, "bytes_utf8": 360, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15277, "cached_input_tokens": 12032, "output_tokens": 389, "reasoning_output_tokens": 284}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6dac6e030c0a95b309a449fb865b4ceb1398fb6e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_11676563e41fce18", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 389, + "total_tokens": 15666, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10024.38, + "sql_execution_elapsed_ms_total": 2.94, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..618f240b3dce6cee94bc5c7959b1bad928222364 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:30.755382+00:00", + "ended_at": "2026-05-19T16:00:40.779794+00:00", + "elapsed_ms": 10024.38, + "prompt_metrics": { + "chars": 10751, + "bytes_utf8": 10751, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 715, + "bytes_utf8": 715, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 360, + "bytes_utf8": 360, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 389, + "reasoning_output_tokens": 284 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8366176418325cc49c5944bb2e97e9b49c990e0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=sc_w, condition_col=int_memory.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sc_w", + "condition_col": "int_memory", + "condition_value": "14", + "positive_value": "27", + "negative_value": "14", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..927046b6124550c9b1ebe762c7bc4efb8a8b3e22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-a137-7753-8201-20fe3c2f7f47"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_w\\\",\\n AVG(CASE WHEN \\\"int_memory\\\" = '14' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_w\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the grouped condition rate template to measure, within each \\\"sc_w\\\" group, the proportion of rows where \\\"int_memory\\\" is '14'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15277,"cached_input_tokens":12032,"output_tokens":389,"reasoning_output_tokens":284}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5f81c7c897196ec45015c8d8dc924612dc44142 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"sc_w\",\n AVG(CASE WHEN \"int_memory\" = '14' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"sc_w\"\nORDER BY condition_rate DESC;","notes":"Uses the grouped condition rate template to measure, within each \"sc_w\" group, the proportion of rows where \"int_memory\" is '14'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_11676563e41fce18/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d65e0d306bbb012dc1bc13bd5b3f61f30cc73028 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10932, "bytes_utf8": 10932, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 629, "bytes_utf8": 629, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 12032, "output_tokens": 659, "reasoning_output_tokens": 485}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3f8ff1d02002f362fc0f78b83d669cc22c7bab7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12826a90b9070fd6", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 659, + "total_tokens": 15994, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15930.48, + "sql_execution_elapsed_ms_total": 4.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e16c4f14e179c7c73c5969bb1b991646299e7af4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:22.896104+00:00", + "ended_at": "2026-05-19T15:35:38.826629+00:00", + "elapsed_ms": 15930.48, + "prompt_metrics": { + "chars": 10932, + "bytes_utf8": 10932, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1028, + "bytes_utf8": 1028, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 629, + "bytes_utf8": 629, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 659, + "reasoning_output_tokens": 485 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e9e5ee007e35a9197620292ffe225a262b21e64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=touch_screen, measure_col=price_range.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "touch_screen", + "measure_col": "price_range", + "item_col": "clock_speed", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3a265ccb308172e8f1b77067fc89be9de7ef536 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-9f0e-76b2-8823-3700d217fdb4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"touch_screen\\\",\\n \\\"clock_speed\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) * 100.0 /\\n SUM(SUM(CAST(\\\"price_range\\\" AS REAL))) OVER (PARTITION BY \\\"touch_screen\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\", \\\"clock_speed\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"touch_screen\\\", item_col=\\\"clock_speed\\\", and measure_col=\\\"price_range\\\". Casted \\\"price_range\\\" from TEXT to REAL for correct numeric aggregation in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15335,"cached_input_tokens":12032,"output_tokens":659,"reasoning_output_tokens":485}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1eab5811036a91473168d0777a330662daf51197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"touch_screen\",\n \"clock_speed\",\n SUM(CAST(\"price_range\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"price_range\" AS REAL)) * 100.0 /\n SUM(SUM(CAST(\"price_range\" AS REAL))) OVER (PARTITION BY \"touch_screen\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY \"touch_screen\", \"clock_speed\"\nORDER BY \"share_within_group\" DESC;","notes":"Used the required template with group_col=\"touch_screen\", item_col=\"clock_speed\", and measure_col=\"price_range\". Casted \"price_range\" from TEXT to REAL for correct numeric aggregation in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12826a90b9070fd6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e1ea47165a3637393b2ad425d95ec6c0920b3508 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10815, "bytes_utf8": 10815, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 416, "bytes_utf8": 416, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15313, "cached_input_tokens": 14720, "output_tokens": 317, "reasoning_output_tokens": 191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e63df87b1bdbfde9f6fc46f9d1443999aeeac547 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_12d59e0f4b0bb0a8", + "api_calls": 0, + "input_tokens": 15313, + "cached_input_tokens": 14720, + "output_tokens": 317, + "total_tokens": 15630, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8456.03, + "sql_execution_elapsed_ms_total": 0.99, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..970247a62a581e3f3679c8a585b80df3af066e32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:19.430277+00:00", + "ended_at": "2026-05-19T15:41:27.886335+00:00", + "elapsed_ms": 8456.03, + "prompt_metrics": { + "chars": 10815, + "bytes_utf8": 10815, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 787, + "bytes_utf8": 787, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 416, + "bytes_utf8": 416, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15313, + "cached_input_tokens": 14720, + "output_tokens": 317, + "reasoning_output_tokens": 191 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..72fc97a3392fae9129655be90859c0a122652379 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=m_dep.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "four_g", + "group_col_2": "m_dep", + "predicate_col": "mobile_wt", + "predicate_op": ">=", + "predicate_value": 170.0, + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..aea4dd7e878fee341f02d3da30d6c54a7bade0d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-0fd6-7492-9a49-8dcdc160944d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"m_dep\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"mobile_wt\\\" AS REAL) >= 170.0\\nGROUP BY \\\"four_g\\\", \\\"m_dep\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the required template with group_col=\\\"four_g\\\", group_col_2=\\\"m_dep\\\", and predicate on \\\"mobile_wt\\\". Cast \\\"mobile_wt\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15313,"cached_input_tokens":14720,"output_tokens":317,"reasoning_output_tokens":191}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6fa9e7572a9336765d3c47ecbbbc7890e5f392c7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"m_dep\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"mobile_wt\" AS REAL) >= 170.0\nGROUP BY \"four_g\", \"m_dep\"\nORDER BY row_count DESC;","notes":"Used the required template with group_col=\"four_g\", group_col_2=\"m_dep\", and predicate on \"mobile_wt\". Cast \"mobile_wt\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_12d59e0f4b0bb0a8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..48d99233f47e3f7588fdee0e1a241163d69d3c65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10523, "bytes_utf8": 10523, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 385, "bytes_utf8": 385, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 364, "reasoning_output_tokens": 265}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..907292d8c11b25748465c5252a18906d43b1142b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_14cb40ca717f431e", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 364, + "total_tokens": 15581, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15107.69, + "sql_execution_elapsed_ms_total": 1.61, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b841624aa1730588051828aa8e2ec39afa881552 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:48.656682+00:00", + "ended_at": "2026-05-19T15:29:03.764419+00:00", + "elapsed_ms": 15107.69, + "prompt_metrics": { + "chars": 10523, + "bytes_utf8": 10523, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 739, + "bytes_utf8": 739, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 385, + "bytes_utf8": 385, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 364, + "reasoning_output_tokens": 265 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1b9ab0c1f41135da68e19e1c546358e958f7382 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=clock_speed, measure_col=clock_speed.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "clock_speed", + "measure_col": "clock_speed", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee325b2a9faec18465c7e3ce7bfe06b483cdef5e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-9b0d-7fd0-9624-a25a7781d123"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"clock_speed\\\", SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped-sum template with group_col=\\\"clock_speed\\\" and measure_col=\\\"clock_speed\\\". CAST to REAL is included because the schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15217,"cached_input_tokens":12032,"output_tokens":364,"reasoning_output_tokens":265}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2e8e09c71a976a895070f3627a190a928a42c698 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"clock_speed\", SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped-sum template with group_col=\"clock_speed\" and measure_col=\"clock_speed\". CAST to REAL is included because the schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14cb40ca717f431e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2a2d5bfe4791d1b7223044d17b761d80eff90403 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:12.211999+00:00", + "ended_at": "2026-05-19T16:07:14.935614+00:00", + "elapsed_ms": 2723.58, + "returncode": 1, + "prompt_metrics": { + "chars": 10594, + "bytes_utf8": 10594, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dd73e7b7659c886fd3bee4b6ef3c6c0a33ef94df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:15.938397+00:00", + "ended_at": "2026-05-19T16:07:19.577808+00:00", + "elapsed_ms": 3639.38, + "returncode": 1, + "prompt_metrics": { + "chars": 10594, + "bytes_utf8": 10594, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..53395758e5fa27d524cd311f9387a4e09a0d589b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=clock_speed, measure_col=sc_h.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "clock_speed", + "measure_col": "sc_h", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..53395758e5fa27d524cd311f9387a4e09a0d589b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=clock_speed, measure_col=sc_h.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "clock_speed", + "measure_col": "sc_h", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ff58eeb946158b0f36f7c6969620c94e2e93393 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c14f-71c2-b332-910cf8364e7b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..353e72c61a53829e773d321868d7b6873edc3f3f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-c14f-71c2-b332-910cf8364e7b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..37ce03f46122d3bb626724c03853bc74bd6c0f5d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d003-7891-bacc-0f09cba53dc2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..051b4f06cc83f6b2c676a8aef65c8256d8997be4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-d003-7891-bacc-0f09cba53dc2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_14ec957820bc06d3/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..896aef3746702ea64bac7d11c9febe38cc327fae --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10761, "bytes_utf8": 10761, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 455, "bytes_utf8": 455, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 319, "reasoning_output_tokens": 195}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9e4d3fcf4ccb43461529a8020769b7affd5b588d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_1502618ef1e507e6", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 319, + "total_tokens": 15598, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8741.39, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9be7e5ab62c85bc5b9e03201f44c62e0dde105a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:00.095931+00:00", + "ended_at": "2026-05-19T16:00:08.837339+00:00", + "elapsed_ms": 8741.39, + "prompt_metrics": { + "chars": 10761, + "bytes_utf8": 10761, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 818, + "bytes_utf8": 818, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 455, + "bytes_utf8": 455, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 319, + "reasoning_output_tokens": 195 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c0807249e1b8bc44039772ffc5978fc2345c1b81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=sc_h, condition_col=price_range.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sc_h", + "condition_col": "price_range", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..89ebf4a6fc7db35fcfabb2aecca40e72338056f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-2977-7e50-860e-f30b32ae272f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_h\\\",\\n AVG(CASE WHEN \\\"price_range\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the provided Grouped Condition Rate template with group_col bound to \\\"sc_h\\\" and condition_col bound to \\\"price_range\\\". Compares against '0' as a text literal because the SQLite schema snapshot shows TEXT columns.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15279,"cached_input_tokens":12032,"output_tokens":319,"reasoning_output_tokens":195}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2b37ff9deac9e2124e282e59c99517d21e6850c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"sc_h\",\n AVG(CASE WHEN \"price_range\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"sc_h\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the provided Grouped Condition Rate template with group_col bound to \"sc_h\" and condition_col bound to \"price_range\". Compares against '0' as a text literal because the SQLite schema snapshot shows TEXT columns."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1502618ef1e507e6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fe8c579ee3c64f20be28aaac444e126cea2c7a06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10903, "bytes_utf8": 10903, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 553, "bytes_utf8": 553, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 14720, "output_tokens": 574, "reasoning_output_tokens": 410}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e3ac25a77858853acf43aae297b3dcd12eea9816 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_157aa49adc727aed", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 574, + "total_tokens": 15907, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18095.82, + "sql_execution_elapsed_ms_total": 11.34, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7f930f8891ae619e239b86cbb48dc20aed082c9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:07.348430+00:00", + "ended_at": "2026-05-19T15:34:25.444273+00:00", + "elapsed_ms": 18095.82, + "prompt_metrics": { + "chars": 10903, + "bytes_utf8": 10903, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1282, + "bytes_utf8": 1282, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 553, + "bytes_utf8": 553, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 574, + "reasoning_output_tokens": 410 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f048b93ec9b96750c26fe2715642783be5b62204 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=talk_time, measure_col=sc_w.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "talk_time", + "measure_col": "sc_w", + "item_col": "ram", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..21f2708dd2efbcc4599fd5157363f1b2f42194e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40df-77ff-7292-92bb-26c2b646869e"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15968. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"talk_time\\\", \\\"ram\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_w\\\" AS REAL))) OVER (PARTITION BY \\\"talk_time\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"talk_time\\\", \\\"ram\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the required template bindings with group_col=\\\"talk_time\\\", item_col=\\\"ram\\\", and measure_col=\\\"sc_w\\\". Cast \\\"sc_w\\\" to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15333,"cached_input_tokens":14720,"output_tokens":574,"reasoning_output_tokens":410}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c662254c5613b8771a8a8b938475996cf1a8fa20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"talk_time\", \"ram\",\n SUM(CAST(\"sc_w\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"sc_w\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"sc_w\" AS REAL))) OVER (PARTITION BY \"talk_time\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY \"talk_time\", \"ram\"\nORDER BY \"share_within_group\" DESC;","notes":"Used the required template bindings with group_col=\"talk_time\", item_col=\"ram\", and measure_col=\"sc_w\". Cast \"sc_w\" to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_157aa49adc727aed/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f54f95dd1d588f96123b2f465fb6fa445d3e34cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11058, "bytes_utf8": 11058, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15351, "cached_input_tokens": 12032, "output_tokens": 415, "reasoning_output_tokens": 236}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7f1f69ab841cb723568d8e4f9ac1348f1290f21d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_1678b24dc29d1c14", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 12032, + "output_tokens": 415, + "total_tokens": 15766, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9831.39, + "sql_execution_elapsed_ms_total": 2.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bff88cd4bf321f95c5f20c8956b6ac61d26c39eb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:35.625820+00:00", + "ended_at": "2026-05-19T15:47:45.457265+00:00", + "elapsed_ms": 9831.39, + "prompt_metrics": { + "chars": 11058, + "bytes_utf8": 11058, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1057, + "bytes_utf8": 1057, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 686, + "bytes_utf8": 686, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15351, + "cached_input_tokens": 12032, + "output_tokens": 415, + "reasoning_output_tokens": 236 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6245886f9d0cb1f387dc26ebec18d3591e9d5c72 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=clock_speed, measure_col=pc.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "clock_speed", + "measure_col": "pc", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0da6fb8692bcf1a3009c63ce640123bfa0b1cfd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-cdc1-7972-a23f-3390a8b77997"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT\\n \\\"clock_speed\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"clock_speed\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT\\n g.\\\"clock_speed\\\",\\n g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the Relative-to-Total Extreme Threshold template with group_col=\\\"clock_speed\\\", measure_col=\\\"pc\\\", and fraction_threshold=0.1. CAST to REAL is used because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15351,"cached_input_tokens":12032,"output_tokens":415,"reasoning_output_tokens":236}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9d0ccfea86fad2b0f5342f653eeadd7ae55eacd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT\n \"clock_speed\",\n SUM(CAST(\"pc\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"clock_speed\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT\n g.\"clock_speed\",\n g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Applied the Relative-to-Total Extreme Threshold template with group_col=\"clock_speed\", measure_col=\"pc\", and fraction_threshold=0.1. CAST to REAL is used because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1678b24dc29d1c14/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..41b6909cbbd532ec335db4af71733973a90de8f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10587, "bytes_utf8": 10587, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10587, "bytes_utf8": 10587, "lines": 348, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 376, "bytes_utf8": 376, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 12032, "output_tokens": 339, "reasoning_output_tokens": 240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f8b8b7800a0a8b4e6cc3e6dade666e27adc0a56c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_17067a65666e8ec0", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 339, + "total_tokens": 15566, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12122.76, + "sql_execution_elapsed_ms_total": 3.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a5b0ae943df0b723b93d9ff4ee20dcdea2815852 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:39.684653+00:00", + "ended_at": "2026-05-19T16:07:42.718891+00:00", + "elapsed_ms": 3034.21, + "returncode": 1, + "prompt_metrics": { + "chars": 10587, + "bytes_utf8": 10587, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8ffc2237a23fd971a0a315d307e217c384fcdbb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:43.721356+00:00", + "ended_at": "2026-05-19T16:07:52.809953+00:00", + "elapsed_ms": 9088.55, + "prompt_metrics": { + "chars": 10587, + "bytes_utf8": 10587, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 730, + "bytes_utf8": 730, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 376, + "bytes_utf8": 376, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 339, + "reasoning_output_tokens": 240 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bb703b43a4478bcbc22753dc17875d81af1f433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=dual_sim, measure_col=sc_w.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "dual_sim", + "measure_col": "sc_w", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9bb703b43a4478bcbc22753dc17875d81af1f433 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=dual_sim, measure_col=sc_w.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "dual_sim", + "measure_col": "sc_w", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fe454ba4c94d069665a9546edfcd068e38f55f35 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2ca4-7373-bc15-4dc640f3608e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4fe5cd9dcd0745b491dce20a7de8d041956d1d98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-2ca4-7373-bc15-4dc640f3608e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0ad85b2bed2b0cd1295353f379c5ff91c6f339e1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-3c80-7180-a1c2-ed60af57076c"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"dual_sim\\\",\\n AVG(CAST(\\\"sc_w\\\" AS REAL)) OVER (PARTITION BY \\\"dual_sim\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"dual_sim\\\" and measure_col=\\\"sc_w\\\". CAST is used because the schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15227,"cached_input_tokens":12032,"output_tokens":339,"reasoning_output_tokens":240}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cc56ce17b6e8071dbb86eeaf5517f72631bdf74d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"dual_sim\",\n AVG(CAST(\"sc_w\" AS REAL)) OVER (PARTITION BY \"dual_sim\") AS avg_measure\nFROM \"m10\"\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"dual_sim\" and measure_col=\"sc_w\". CAST is used because the schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_17067a65666e8ec0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..af0d5e07b7606dede762a0ab115293f294ce1e50 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10742, "bytes_utf8": 10742, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 397, "bytes_utf8": 397, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 367, "reasoning_output_tokens": 252}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6d60a2bb09fe1fc235b62c09351e88234a78f317 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_187ca60dcce7df22", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 367, + "total_tokens": 15645, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9070.72, + "sql_execution_elapsed_ms_total": 1.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3139d3375df7d6dada7fa48b12726321d4e5a37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:47.792350+00:00", + "ended_at": "2026-05-19T16:01:56.863097+00:00", + "elapsed_ms": 9070.72, + "prompt_metrics": { + "chars": 10742, + "bytes_utf8": 10742, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 764, + "bytes_utf8": 764, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 397, + "bytes_utf8": 397, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 367, + "reasoning_output_tokens": 252 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f76eaaa43829fe8facbba4e5a6b63709b8051151 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=wifi, condition_col=n_cores.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "wifi", + "condition_col": "n_cores", + "condition_value": "7", + "positive_value": "4", + "negative_value": "7", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3a9ffff76329a3323919918c64e95dd5053fbfb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-ce39-7ef0-a7bf-6730ac28ffd2"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"wifi\\\",\\n AVG(CASE WHEN \\\"n_cores\\\" = '7' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"wifi\\\" and condition_col=\\\"n_cores\\\", measuring the within-group proportion where \\\"n_cores\\\" = '7'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15278,"cached_input_tokens":12032,"output_tokens":367,"reasoning_output_tokens":252}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..016b6382ab37c575460f8e2a0a3f130051d9b4cd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"wifi\",\n AVG(CASE WHEN \"n_cores\" = '7' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"wifi\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"wifi\" and condition_col=\"n_cores\", measuring the within-group proportion where \"n_cores\" = '7'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_187ca60dcce7df22/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f0473a2371c18561e20eff6d60c66673c3ac84fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:51.581953+00:00", + "ended_at": "2026-05-19T15:58:54.497839+00:00", + "elapsed_ms": 2915.86, + "returncode": 1, + "prompt_metrics": { + "chars": 10667, + "bytes_utf8": 10667, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..bda133fa34f2bada9244a5bd0203903cb47d841d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:55.500212+00:00", + "ended_at": "2026-05-19T15:58:58.845495+00:00", + "elapsed_ms": 3345.24, + "returncode": 1, + "prompt_metrics": { + "chars": 10667, + "bytes_utf8": 10667, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6befe143fd631d9f13992a7c49b655df6c0ca2fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=fc, measure_col=ram.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "fc", + "measure_col": "ram", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..6befe143fd631d9f13992a7c49b655df6c0ca2fa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=fc, measure_col=ram.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "fc", + "measure_col": "ram", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9b1948b52a0d46d8c64aa3fafafae06e379a05b3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-1dc3-7d22-85c4-5062f9da0475"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58cff395e75cf1e8cc5b54e24f134f5aaa69977c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-1dc3-7d22-85c4-5062f9da0475"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e5866616339e597121cb4ac29629e988de16e2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-2d2d-7442-9d2c-49ea02e367c3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..90574b120c422769420f47c83f861f60263bd119 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-2d2d-7442-9d2c-49ea02e367c3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_1aefa027b0efd9d7/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..693644324218efd2fe95485843f093c8ee325e79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10692, "bytes_utf8": 10692, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 2020, "bytes_utf8": 2020, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15254, "cached_input_tokens": 14720, "output_tokens": 2494, "reasoning_output_tokens": 1839}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b4e5766cae71fb2d0e12ab33b39b94ae9b385c9b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_25d795e351f80d2e", + "api_calls": 0, + "input_tokens": 15254, + "cached_input_tokens": 14720, + "output_tokens": 2494, + "total_tokens": 17748, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 33802.88, + "sql_execution_elapsed_ms_total": 7.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed9038febdadf699a7961ce777aba562333ffaa3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:57.029323+00:00", + "ended_at": "2026-05-19T15:53:30.832237+00:00", + "elapsed_ms": 33802.88, + "prompt_metrics": { + "chars": 10692, + "bytes_utf8": 10692, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2650, + "bytes_utf8": 2650, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2020, + "bytes_utf8": 2020, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15254, + "cached_input_tokens": 14720, + "output_tokens": 2494, + "reasoning_output_tokens": 1839 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0446c06b0a03c711316716710824261cb4e471c1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=touch_screen, measure_col=m_dep.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "touch_screen", + "measure_col": "m_dep", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.7, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..88931747b7171319229e28169d779b7f75f44dd7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-b4dc-7b12-b1bc-af8f0ecf77a0"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"touch_screen\\\",\\n CAST(\\\"m_dep\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"touch_screen\\\"\\n ORDER BY CAST(\\\"m_dep\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"touch_screen\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"touch_screen\\\" IS NOT NULL\\n AND \\\"m_dep\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"touch_screen\\\",\\n \\\"cnt\\\",\\n (0.95 * (\\\"cnt\\\" - 1)) + 1 AS \\\"pos\\\",\\n CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1) = CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n THEN CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER)\\n ELSE CAST((0.95 * (\\\"cnt\\\" - 1)) + 1 AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"touch_screen\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"lower_measure\\\",\\n MAX(CASE WHEN r.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN r.\\\"measure\\\" END) AS \\\"upper_measure\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS r\\n ON r.\\\"touch_screen\\\" = p.\\\"touch_screen\\\"\\n GROUP BY\\n p.\\\"touch_screen\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"touch_screen\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_measure\\\"\\n ELSE \\\"lower_measure\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_measure\\\" - \\\"lower_measure\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Uses the planned grouped-percentile template with group_col=\\\"touch_screen\\\" and measure_col=\\\"m_dep\\\". Because SQLite lacks PERCENTILE_CONT, this emulates PERCENTILE_CONT(0.95) using windowed row numbers plus linear interpolation, casting \\\"m_dep\\\" from TEXT to REAL, excluding NULLs, and enforcing the bound min_group_size of 5.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15254,"cached_input_tokens":14720,"output_tokens":2494,"reasoning_output_tokens":1839}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3560b76cfe49963cd1d5d26e3f34cf4696421806 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"touch_screen\",\n CAST(\"m_dep\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"touch_screen\"\n ORDER BY CAST(\"m_dep\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"touch_screen\"\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"touch_screen\" IS NOT NULL\n AND \"m_dep\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"touch_screen\",\n \"cnt\",\n (0.95 * (\"cnt\" - 1)) + 1 AS \"pos\",\n CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1) = CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n THEN CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER)\n ELSE CAST((0.95 * (\"cnt\" - 1)) + 1 AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n p.\"touch_screen\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN r.\"rn\" = p.\"lower_rn\" THEN r.\"measure\" END) AS \"lower_measure\",\n MAX(CASE WHEN r.\"rn\" = p.\"upper_rn\" THEN r.\"measure\" END) AS \"upper_measure\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS r\n ON r.\"touch_screen\" = p.\"touch_screen\"\n GROUP BY\n p.\"touch_screen\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"touch_screen\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_measure\"\n ELSE \"lower_measure\" + (\"pos\" - \"lower_rn\") * (\"upper_measure\" - \"lower_measure\")\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Uses the planned grouped-percentile template with group_col=\"touch_screen\" and measure_col=\"m_dep\". Because SQLite lacks PERCENTILE_CONT, this emulates PERCENTILE_CONT(0.95) using windowed row numbers plus linear interpolation, casting \"m_dep\" from TEXT to REAL, excluding NULLs, and enforcing the bound min_group_size of 5."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_25d795e351f80d2e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..27a6856d4359f30d2f03ae69cbc7e40e5add3e03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10922, "bytes_utf8": 10922, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 679, "bytes_utf8": 679, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 12032, "output_tokens": 609, "reasoning_output_tokens": 420}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a45ab51f071543164e3b6dbf794fc4de40bb7bc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_26dd0d7e0eb2cd4f", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 609, + "total_tokens": 15944, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16100.71, + "sql_execution_elapsed_ms_total": 12.21, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c51090d276a797e8b7e2e998798174144c286639 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:06.773503+00:00", + "ended_at": "2026-05-19T15:35:22.874254+00:00", + "elapsed_ms": 16100.71, + "prompt_metrics": { + "chars": 10922, + "bytes_utf8": 10922, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1079, + "bytes_utf8": 1079, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 679, + "bytes_utf8": 679, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 609, + "reasoning_output_tokens": 420 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f0781e1d2495c56230eeb07f6aed0ff920006f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=three_g, measure_col=talk_time.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "three_g", + "measure_col": "talk_time", + "item_col": "battery_power", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 14.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f2156d5bf68217f2237b1aa545e11e4af14f8dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-6022-7ad0-82cd-65e36e1b7b2a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"three_g\\\",\\n CAST(\\\"battery_power\\\" AS INTEGER) AS \\\"battery_power\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"talk_time\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"talk_time\\\" AS REAL))) OVER (PARTITION BY \\\"three_g\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY\\n \\\"three_g\\\",\\n CAST(\\\"battery_power\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the provided Within-Group Share of Total template with group_col=\\\"three_g\\\", item_col=\\\"battery_power\\\", and measure_col=\\\"talk_time\\\". Casted numeric-looking TEXT columns for SQLite aggregation accuracy.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15335,"cached_input_tokens":12032,"output_tokens":609,"reasoning_output_tokens":420}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f91de27eb862660b32e900aed9eff025a7e6820b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"three_g\",\n CAST(\"battery_power\" AS INTEGER) AS \"battery_power\",\n SUM(CAST(\"talk_time\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"talk_time\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"talk_time\" AS REAL))) OVER (PARTITION BY \"three_g\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY\n \"three_g\",\n CAST(\"battery_power\" AS INTEGER)\nORDER BY \"share_within_group\" DESC;","notes":"Applied the provided Within-Group Share of Total template with group_col=\"three_g\", item_col=\"battery_power\", and measure_col=\"talk_time\". Casted numeric-looking TEXT columns for SQLite aggregation accuracy."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_26dd0d7e0eb2cd4f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..948808a52a2381f34418dde793ff8a1628ef2d11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10495, "bytes_utf8": 10495, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 303, "bytes_utf8": 303, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15225, "cached_input_tokens": 12032, "output_tokens": 199, "reasoning_output_tokens": 110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..628eef0faf9610a521bad84507e9217de60bcb69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_281d43c4fea5484e", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 199, + "total_tokens": 15424, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7141.2, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9929e976a7407416f6c49cbaa74d7f8cbce85e28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:41.760892+00:00", + "ended_at": "2026-05-19T16:03:48.902123+00:00", + "elapsed_ms": 7141.2, + "prompt_metrics": { + "chars": 10495, + "bytes_utf8": 10495, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 656, + "bytes_utf8": 656, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 303, + "bytes_utf8": 303, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 199, + "reasoning_output_tokens": 110 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e9dfa31b813a5be95ba8f40a074eb928bd272f3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=blue.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "blue", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4697a64f7b187c930364220206c4f63e80e85a85 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-8b31-7c63-8537-e8304be18045"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"blue\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY support ASC, \\\"blue\\\"\\nLIMIT 15;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"blue\\\" and top_k set to 15.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15225,"cached_input_tokens":12032,"output_tokens":199,"reasoning_output_tokens":110}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..357978c7380b0fee961f72b5e248a1ca57dc54a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"blue\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY support ASC, \"blue\"\nLIMIT 15;","notes":"Applied the provided Low-Support Group Count template with group_col bound to \"blue\" and top_k set to 15."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_281d43c4fea5484e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4db82ca7a477c24c38173992c899d4cd46ca739b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10733, "bytes_utf8": 10733, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15275, "cached_input_tokens": 14720, "output_tokens": 369, "reasoning_output_tokens": 263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e59e183559f3f2771c7c319988af59bf7736f389 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_28400ee68205a60b", + "api_calls": 0, + "input_tokens": 15275, + "cached_input_tokens": 14720, + "output_tokens": 369, + "total_tokens": 15644, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11739.01, + "sql_execution_elapsed_ms_total": 2.81, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1748469b509603cddad65e37bac269630a3cb8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:48.349039+00:00", + "ended_at": "2026-05-19T16:00:00.088092+00:00", + "elapsed_ms": 11739.01, + "prompt_metrics": { + "chars": 10733, + "bytes_utf8": 10733, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 733, + "bytes_utf8": 733, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15275, + "cached_input_tokens": 14720, + "output_tokens": 369, + "reasoning_output_tokens": 263 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..497d13db935b9b73cb4c3473e12c90dd5c619de6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=pc, condition_col=wifi.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "pc", + "condition_col": "wifi", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..986122345c5e5761b20c62523335ebf02d98a578 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-fb98-7c12-965a-ab76c2fee280"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"pc\\\",\\n AVG(CASE WHEN \\\"wifi\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"pc\\\" and condition_col=\\\"wifi\\\", measuring the within-group proportion where wifi = '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15275,"cached_input_tokens":14720,"output_tokens":369,"reasoning_output_tokens":263}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8f7d32c84492a78d44b5a837229ef88df7ce3cc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"pc\",\n AVG(CASE WHEN \"wifi\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"pc\" and condition_col=\"wifi\", measuring the within-group proportion where wifi = '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_28400ee68205a60b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..8f33bf48ea65c20d01e5f37c3ba964a2061863ea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10418, "bytes_utf8": 10418, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 273, "bytes_utf8": 273, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 198, "reasoning_output_tokens": 125}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f60259b679e6d4cdf5ae73dd7b93fafdd15a4ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_288ed2f25c28c057", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 198, + "total_tokens": 15388, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9831.74, + "sql_execution_elapsed_ms_total": 0.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..977bae96090fca68850de6893293d2972a217160 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:55.157783+00:00", + "ended_at": "2026-05-19T15:33:04.989548+00:00", + "elapsed_ms": 9831.74, + "prompt_metrics": { + "chars": 10418, + "bytes_utf8": 10418, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 619, + "bytes_utf8": 619, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 273, + "bytes_utf8": 273, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 198, + "reasoning_output_tokens": 125 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66fa9b187de2e02100686d3d05e101218ab65e7b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=dual_sim.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "dual_sim", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..4f61bf8c9773a8b66c613ca438f3ebca0cb76e79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-5e0c-73b1-9ec9-6cf54ab625fc"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"dual_sim\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Applies the grouped count template to measure the row-count distribution across \\\"dual_sim\\\" subgroups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15190,"cached_input_tokens":12032,"output_tokens":198,"reasoning_output_tokens":125}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b09eac0181ed07394c85f0d783f64c64ad9397f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"dual_sim\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY row_count DESC;","notes":"Applies the grouped count template to measure the row-count distribution across \"dual_sim\" subgroups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_288ed2f25c28c057/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..11fe1039c00eecb19f7c0133899818a51c265fb3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10683, "bytes_utf8": 10683, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 545, "bytes_utf8": 545, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15270, "cached_input_tokens": 14720, "output_tokens": 502, "reasoning_output_tokens": 349}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4e63bfbb9b5c5d9258b64592ae7a9534d4b551a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_29baa89b18950e14", + "api_calls": 0, + "input_tokens": 15270, + "cached_input_tokens": 14720, + "output_tokens": 502, + "total_tokens": 15772, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11602.65, + "sql_execution_elapsed_ms_total": 3.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4ee7119ca6eae92b6def87ed92848b36cdcd7667 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:39.689768+00:00", + "ended_at": "2026-05-19T15:45:51.292443+00:00", + "elapsed_ms": 11602.65, + "prompt_metrics": { + "chars": 10683, + "bytes_utf8": 10683, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 925, + "bytes_utf8": 925, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 545, + "bytes_utf8": 545, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15270, + "cached_input_tokens": 14720, + "output_tokens": 502, + "reasoning_output_tokens": 349 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5330c71919b04df9ce5232c20665c95e0154d327 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=talk_time.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "talk_time", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87a1fd125f073e89f22c5e05deb226cc211b78ab --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-0887-79c2-9dae-5d016484be77"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n CAST(\\\"talk_time\\\" AS REAL) AS \\\"talk_time\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"talk_time\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"talk_time\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"talk_time\\\" DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to \\\"talk_time\\\" and num_tiles=10. CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15270,"cached_input_tokens":14720,"output_tokens":502,"reasoning_output_tokens":349}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfda7dae12686fab591b5116c02828d5cb3a9015 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n CAST(\"talk_time\" AS REAL) AS \"talk_time\",\n NTILE(10) OVER (ORDER BY CAST(\"talk_time\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"talk_time\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"talk_time\" DESC;","notes":"Uses the planned Quantile Tail Slice template with measure_col bound to \"talk_time\" and num_tiles=10. CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_29baa89b18950e14/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6f2d472d80c90189431692521bf9f96aaac5c8c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10928, "bytes_utf8": 10928, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 14720, "output_tokens": 635, "reasoning_output_tokens": 463}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..38c3ac39588bf904d597182c4109f3cd18fb2873 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_2a524c202092c6a4", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 14720, + "output_tokens": 635, + "total_tokens": 15970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12968.33, + "sql_execution_elapsed_ms_total": 5.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d5330f4a0ed5004b98ebc36cf1bcf4efcb85ad5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:16.002235+00:00", + "ended_at": "2026-05-19T15:36:28.970599+00:00", + "elapsed_ms": 12968.33, + "prompt_metrics": { + "chars": 10928, + "bytes_utf8": 10928, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 999, + "bytes_utf8": 999, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 616, + "bytes_utf8": 616, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15335, + "cached_input_tokens": 14720, + "output_tokens": 635, + "reasoning_output_tokens": 463 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0e972367cbf1958df32faaf295e241fd41e9d81 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=price_range, measure_col=clock_speed.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "price_range", + "measure_col": "clock_speed", + "item_col": "int_memory", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f51e0f75eead11e1f3553f55208a01f2dffe5346 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-6e8f-7b70-9d40-affe776207cf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"price_range\\\",\\n \\\"int_memory\\\",\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"clock_speed\\\" AS REAL))) OVER (PARTITION BY \\\"price_range\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\", \\\"int_memory\\\"\\nORDER BY share_within_group DESC\\nLIMIT 14;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"price_range\\\", item_col=\\\"int_memory\\\", and measure_col=\\\"clock_speed\\\". CAST to REAL is used because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15335,"cached_input_tokens":14720,"output_tokens":635,"reasoning_output_tokens":463}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1c91f8352fe9288c337c5fb9880949960339d1ad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"price_range\",\n \"int_memory\",\n SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure,\n SUM(CAST(\"clock_speed\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"clock_speed\" AS REAL))) OVER (PARTITION BY \"price_range\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"price_range\", \"int_memory\"\nORDER BY share_within_group DESC\nLIMIT 14;","notes":"Applied the Within-Group Share of Total template with group_col=\"price_range\", item_col=\"int_memory\", and measure_col=\"clock_speed\". CAST to REAL is used because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_2a524c202092c6a4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..77331a3b708cec8094d5467c50f499fc1760f4b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10694, "bytes_utf8": 10694, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1124, "bytes_utf8": 1124, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 840, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..a03aa1e815041959dbb15b63f2be3db7d38b8172 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_307eded8c7a01308", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 840, + "total_tokens": 16095, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15579.99, + "sql_execution_elapsed_ms_total": 4.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3b9bcba4257cf593d135c68162387b2fa2a4b01b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:00.063226+00:00", + "ended_at": "2026-05-19T15:51:15.643248+00:00", + "elapsed_ms": 15579.99, + "prompt_metrics": { + "chars": 10694, + "bytes_utf8": 10694, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1577, + "bytes_utf8": 1577, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1124, + "bytes_utf8": 1124, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 840, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..77289cd46260d90be6a13a0cde46a4ae903a8f66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=talk_time, measure_col=clock_speed.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "talk_time", + "measure_col": "clock_speed", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ced3eb8569aa4fe72f2d92a86415ac0e475f5064 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-ec0c-73e0-bd55-3cede3cca5bf"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n CAST(\\\"talk_time\\\" AS NUMERIC) AS \\\"talk_time\\\",\\n CAST(\\\"clock_speed\\\" AS NUMERIC) AS \\\"clock_speed\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"talk_time\\\" AS NUMERIC)\\n ORDER BY CAST(\\\"clock_speed\\\" AS NUMERIC)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"talk_time\\\" AS NUMERIC)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"talk_time\\\" IS NOT NULL\\n AND \\\"clock_speed\\\" IS NOT NULL\\n),\\n\\\"percentile_points\\\" AS (\\n SELECT\\n \\\"talk_time\\\",\\n \\\"clock_speed\\\" AS \\\"percentile_measure\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"rn\\\" = CAST(((\\\"cnt\\\" * 9) + 9) / 10 AS INTEGER)\\n)\\nSELECT\\n \\\"talk_time\\\",\\n \\\"percentile_measure\\\"\\nFROM \\\"percentile_points\\\"\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"talk_time\\\";\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this approximates the 0.9 percentile per talk_time group by selecting the value at rank CEIL(0.9 * group_size) after ordering clock_speed within each group. Numeric fields are CAST from TEXT for correct ordering and grouping.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":840,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ee294c07af101edf57f777a6ba78596f57f8f7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n CAST(\"talk_time\" AS NUMERIC) AS \"talk_time\",\n CAST(\"clock_speed\" AS NUMERIC) AS \"clock_speed\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"talk_time\" AS NUMERIC)\n ORDER BY CAST(\"clock_speed\" AS NUMERIC)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"talk_time\" AS NUMERIC)\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"talk_time\" IS NOT NULL\n AND \"clock_speed\" IS NOT NULL\n),\n\"percentile_points\" AS (\n SELECT\n \"talk_time\",\n \"clock_speed\" AS \"percentile_measure\"\n FROM \"ranked\"\n WHERE \"rn\" = CAST(((\"cnt\" * 9) + 9) / 10 AS INTEGER)\n)\nSELECT\n \"talk_time\",\n \"percentile_measure\"\nFROM \"percentile_points\"\nORDER BY \"percentile_measure\" DESC, \"talk_time\";","notes":"SQLite does not support PERCENTILE_CONT, so this approximates the 0.9 percentile per talk_time group by selecting the value at rank CEIL(0.9 * group_size) after ordering clock_speed within each group. Numeric fields are CAST from TEXT for correct ordering and grouping."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_307eded8c7a01308/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..25bf013273af272da469739b044e598ae07f3b02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10488, "bytes_utf8": 10488, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 308, "bytes_utf8": 308, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15225, "cached_input_tokens": 12032, "output_tokens": 562, "reasoning_output_tokens": 473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3dea62ae383f66a258a6a19479a450499effe737 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_32b1c8c3b98ee06b", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 562, + "total_tokens": 15787, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11828.41, + "sql_execution_elapsed_ms_total": 1.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d64bf0d62658aca341313e059fcc17113f9e832e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:45.507283+00:00", + "ended_at": "2026-05-19T16:04:57.335710+00:00", + "elapsed_ms": 11828.41, + "prompt_metrics": { + "chars": 10488, + "bytes_utf8": 10488, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 661, + "bytes_utf8": 661, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 308, + "bytes_utf8": 308, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 562, + "reasoning_output_tokens": 473 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ada42637fcf81eaf30341666674668fbb81bbfe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=fc.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "fc", + "top_k": 18, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1975b04afe1bb9a5dbbdd219ee3ee14f4911e594 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-8447-78e1-9cfc-a75a06c682c6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY support ASC, \\\"fc\\\"\\nLIMIT 18;\",\"notes\":\"Uses the Low-Support Group Count template with \\\"fc\\\" as the grouping column and returns the 18 lowest-support groups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15225,"cached_input_tokens":12032,"output_tokens":562,"reasoning_output_tokens":473}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..00ee7c0055210f11186c22d98ddeb53f866580e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"fc\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY support ASC, \"fc\"\nLIMIT 18;","notes":"Uses the Low-Support Group Count template with \"fc\" as the grouping column and returns the 18 lowest-support groups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_32b1c8c3b98ee06b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4a9d5a140734ecd3d7f306bafe386e2fc46a3911 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10899, "bytes_utf8": 10899, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 515, "bytes_utf8": 515, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 12032, "output_tokens": 620, "reasoning_output_tokens": 468}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..aa11085ee211a28d3f36bdbc2d9562b0a96ea51d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_354faee30e6b3bbf", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 620, + "total_tokens": 15953, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12016.02, + "sql_execution_elapsed_ms_total": 11.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..28bb1871ad315c3f305ee3bf46e0514be4d5e9de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:35.380502+00:00", + "ended_at": "2026-05-19T15:38:47.396558+00:00", + "elapsed_ms": 12016.02, + "prompt_metrics": { + "chars": 10899, + "bytes_utf8": 10899, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 895, + "bytes_utf8": 895, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 515, + "bytes_utf8": 515, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 620, + "reasoning_output_tokens": 468 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f0f357ab706d7d7d0f3baf83e516419c650dc70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=four_g, measure_col=pc.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "four_g", + "measure_col": "pc", + "item_col": "ram", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ad3d6cf8973cc804641cb81bc5a9d816a4b51f71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-8efc-79f3-8a99-a14915735fbd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share.\\nSELECT \\\"four_g\\\", \\\"ram\\\",\\n SUM(CAST(\\\"pc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"pc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"pc\\\" AS REAL))) OVER (PARTITION BY \\\"four_g\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\", \\\"ram\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Uses the provided template with group_col=\\\"four_g\\\", item_col=\\\"ram\\\", and measure_col=\\\"pc\\\". CAST is applied because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15333,"cached_input_tokens":12032,"output_tokens":620,"reasoning_output_tokens":468}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c324bea32b3a3394d8559f50c30d864f7381453a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share.\nSELECT \"four_g\", \"ram\",\n SUM(CAST(\"pc\" AS REAL)) AS total_measure,\n SUM(CAST(\"pc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"pc\" AS REAL))) OVER (PARTITION BY \"four_g\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"four_g\", \"ram\"\nORDER BY share_within_group DESC;","notes":"Uses the provided template with group_col=\"four_g\", item_col=\"ram\", and measure_col=\"pc\". CAST is applied because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_354faee30e6b3bbf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6bb5c6203d74be1f0c01c359559bdcc638c79434 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10673, "bytes_utf8": 10673, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 533, "bytes_utf8": 533, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15269, "cached_input_tokens": 14720, "output_tokens": 339, "reasoning_output_tokens": 184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..884126946878eaed777bbe5a2b949e61788ae9c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_35677a138a50f89c", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 339, + "total_tokens": 15608, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23753.77, + "sql_execution_elapsed_ms_total": 4.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ae771f8f82014e95c7aafac99f9479b2b73dc8d4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:58.694883+00:00", + "ended_at": "2026-05-19T15:45:22.448675+00:00", + "elapsed_ms": 23753.77, + "prompt_metrics": { + "chars": 10673, + "bytes_utf8": 10673, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1241, + "bytes_utf8": 1241, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 533, + "bytes_utf8": 533, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 339, + "reasoning_output_tokens": 184 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..45a9c43837bde070ca9506881f03c83516fd1634 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_h.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "sc_h", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c22be1bb4798ed5e751d346b7c6cec4a7fb52d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e9-6838-7b83-b4bb-1d2ab05a7321"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15904. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"sc_h\\\" AS REAL) AS \\\"sc_h\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"sc_h\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"sc_h\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"sc_h\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"sc_h\\\" and num_tiles=10. Cast \\\"sc_h\\\" to REAL because the SQLite snapshot stores columns as TEXT, and numeric ordering is required for the tail slice.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15269,"cached_input_tokens":14720,"output_tokens":339,"reasoning_output_tokens":184}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4031590abbdd84110d2787f1f4d4e8c6c73f106e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"sc_h\" AS REAL) AS \"sc_h\",\n NTILE(10) OVER (ORDER BY CAST(\"sc_h\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"sc_h\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"sc_h\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"sc_h\" and num_tiles=10. Cast \"sc_h\" to REAL because the SQLite snapshot stores columns as TEXT, and numeric ordering is required for the tail slice."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_35677a138a50f89c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1bdfdeb7c83e82ab4d9f7e70a42e78d765c9ba5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10486, "bytes_utf8": 10486, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 287, "bytes_utf8": 287, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15223, "cached_input_tokens": 14720, "output_tokens": 959, "reasoning_output_tokens": 868}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bcc0e686bea8a21afb3a6289ef8559989f78dce8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_37f5ea616a5a6f3a", + "api_calls": 0, + "input_tokens": 15223, + "cached_input_tokens": 14720, + "output_tokens": 959, + "total_tokens": 16182, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 23387.73, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..81149f84badc11e1742e6e6aaa3c7c77accf8b9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:22.113979+00:00", + "ended_at": "2026-05-19T16:04:45.501762+00:00", + "elapsed_ms": 23387.73, + "prompt_metrics": { + "chars": 10486, + "bytes_utf8": 10486, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 648, + "bytes_utf8": 648, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 287, + "bytes_utf8": 287, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15223, + "cached_input_tokens": 14720, + "output_tokens": 959, + "reasoning_output_tokens": 868 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..66d7ad7583fa1cb639cfaa50a717deb04316473b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=fc.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "fc", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c5fa417769eb3b40db86ee6011546f7aade77cb6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-28fa-7810-b2ef-bce3b76b03f1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"fc\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY \\\"support\\\" ASC, \\\"fc\\\"\\nLIMIT 13;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"fc\\\" and top_k=13.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15223,"cached_input_tokens":14720,"output_tokens":959,"reasoning_output_tokens":868}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6996a6be30f8fb9ac0e1f08b528fb5aca3d8152f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"fc\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY \"support\" ASC, \"fc\"\nLIMIT 13;","notes":"Applies the Low-Support Group Count template with group_col bound to \"fc\" and top_k=13."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_37f5ea616a5a6f3a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4e86242f84b9766897cc57d1a7648f291110e5dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10677, "bytes_utf8": 10677, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 528, "bytes_utf8": 528, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15271, "cached_input_tokens": 14720, "output_tokens": 458, "reasoning_output_tokens": 310}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15c254b5fd1571d15a621c1543f9b1cb88e87b59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_38a53ef1a4270870", + "api_calls": 0, + "input_tokens": 15271, + "cached_input_tokens": 14720, + "output_tokens": 458, + "total_tokens": 15729, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26569.49, + "sql_execution_elapsed_ms_total": 2.84, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..37116ab082036e05e5459a3a21bdf7d392414dea --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:12.500254+00:00", + "ended_at": "2026-05-19T15:43:39.069767+00:00", + "elapsed_ms": 26569.49, + "prompt_metrics": { + "chars": 10677, + "bytes_utf8": 10677, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1886, + "bytes_utf8": 1886, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 528, + "bytes_utf8": 528, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15271, + "cached_input_tokens": 14720, + "output_tokens": 458, + "reasoning_output_tokens": 310 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..383d0d9f26592a244898cefa9f28b8c5b2592862 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=n_cores.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "n_cores", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..83857173b4c3d29cf22bd06a84e2f929518c0f8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e7-c982-7611-95f3-116dfc3d3927"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985422, Requested 15906. Please try again in 39ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15906. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15906. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT\\n \\\"n_cores\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"n_cores\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"n_cores\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"n_cores\\\" AS REAL) DESC;\",\"notes\":\"Applied the planned Quantile Tail Slice template with measure_col=\\\"n_cores\\\" and num_tiles=10. CAST is used because the schema stores numeric fields as TEXT, and numeric ordering is required for the tail slice.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15271,"cached_input_tokens":14720,"output_tokens":458,"reasoning_output_tokens":310}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..59019ccbe9285f92da82895d681410934105ba6f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT\n \"n_cores\",\n NTILE(10) OVER (ORDER BY CAST(\"n_cores\" AS REAL) DESC) AS tail_bucket\n FROM \"m10\"\n)\nSELECT \"n_cores\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"n_cores\" AS REAL) DESC;","notes":"Applied the planned Quantile Tail Slice template with measure_col=\"n_cores\" and num_tiles=10. CAST is used because the schema stores numeric fields as TEXT, and numeric ordering is required for the tail slice."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_38a53ef1a4270870/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2209cde3e13a7799d2d72226776b8c76418f0396 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 348, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 925, "bytes_utf8": 925, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 2573, "reasoning_output_tokens": 2283}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..022f29aa4052f1eeb46b6d69ae94836c3286841a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a15e805b1dee383", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2573, + "total_tokens": 17828, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40481.5, + "sql_execution_elapsed_ms_total": 4.86, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..de564647a8bacf811288c4ac6b1b637bd96de73b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:30.843923+00:00", + "ended_at": "2026-05-19T15:53:34.447380+00:00", + "elapsed_ms": 3603.43, + "returncode": 1, + "prompt_metrics": { + "chars": 10684, + "bytes_utf8": 10684, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e128f0aac5ddb30a1c2b9cdf385d9ccd4d5849f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:53:35.449952+00:00", + "ended_at": "2026-05-19T15:54:12.328071+00:00", + "elapsed_ms": 36878.07, + "prompt_metrics": { + "chars": 10684, + "bytes_utf8": 10684, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1376, + "bytes_utf8": 1376, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 925, + "bytes_utf8": 925, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2573, + "reasoning_output_tokens": 2283 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3037728505f4b2d4a3cc912c2ef2f977b8a8cd11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=wifi, measure_col=mobile_wt.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "wifi", + "measure_col": "mobile_wt", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3037728505f4b2d4a3cc912c2ef2f977b8a8cd11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=wifi, measure_col=mobile_wt.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "wifi", + "measure_col": "mobile_wt", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..71d26e01341f9a3f5686d9660885411ba1f0752c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-3914-73e1-a4ae-568726eb2447"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84890bfd0da6739c9183892f00a38b85d173cc26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-3914-73e1-a4ae-568726eb2447"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d4fbd8e9df1aa334f44ba8aa099c776c825a420 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-4af4-7e00-9c7e-4843f016c2f6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"wifi\\\"\\n ORDER BY CAST(\\\"mobile_wt\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"wifi\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"wifi\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"wifi\\\",\\n \\\"mobile_wt_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"rn\\\" = CASE\\n WHEN (0.95 * \\\"cnt\\\") > CAST((0.95 * \\\"cnt\\\") AS INTEGER) THEN CAST((0.95 * \\\"cnt\\\") AS INTEGER) + 1\\n ELSE CAST((0.95 * \\\"cnt\\\") AS INTEGER)\\nEND\\n AND \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile per \\\"wifi\\\" group with a nearest-rank window-function approach and casts \\\"mobile_wt\\\" from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":2573,"reasoning_output_tokens":2283}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cef49ea6422fdbee4d164add99e20ee30420b4e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"wifi\",\n CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"wifi\"\n ORDER BY CAST(\"mobile_wt\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"wifi\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"wifi\" IS NOT NULL\n AND \"mobile_wt\" IS NOT NULL\n)\nSELECT\n \"wifi\",\n \"mobile_wt_value\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"rn\" = CASE\n WHEN (0.95 * \"cnt\") > CAST((0.95 * \"cnt\") AS INTEGER) THEN CAST((0.95 * \"cnt\") AS INTEGER) + 1\n ELSE CAST((0.95 * \"cnt\") AS INTEGER)\nEND\n AND \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the 95th percentile per \"wifi\" group with a nearest-rank window-function approach and casts \"mobile_wt\" from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a15e805b1dee383/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5893a614b5e6218a752d874433928cadc9d2b610 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11316, "bytes_utf8": 11316, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 682, "bytes_utf8": 682, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15427, "cached_input_tokens": 12032, "output_tokens": 484, "reasoning_output_tokens": 291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7ce89c0c95c77c1d8661dcd67dc3a465d943e89b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3a2e252c2fadc7fe", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 484, + "total_tokens": 15911, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10242.17, + "sql_execution_elapsed_ms_total": 3.2, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..870d54c53640bf65a38c1d22869f8888c1ba4856 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:48.561704+00:00", + "ended_at": "2026-05-19T15:39:58.803915+00:00", + "elapsed_ms": 10242.17, + "prompt_metrics": { + "chars": 11316, + "bytes_utf8": 11316, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1051, + "bytes_utf8": 1051, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 682, + "bytes_utf8": 682, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 484, + "reasoning_output_tokens": 291 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..877828a233ef8457c10093713aa49d909c24bdc1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=talk_time, condition_col=n_cores.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "talk_time", + "condition_col": "n_cores", + "condition_value": "4", + "positive_value": "4", + "negative_value": "7", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a720764ca72adbbca826cca3cf3df660404c5f1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-acdc-7053-b13a-bb60544d10d6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"talk_time\\\",\\n SUM(CASE WHEN \\\"n_cores\\\" = '4' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"n_cores\\\" = '7' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"talk_time\\\"\\n)\\nSELECT \\\"talk_time\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applies the grouped ratio template with group_col=\\\"talk_time\\\" and condition_col=\\\"n_cores\\\", computing the ratio of rows where n_cores='4' to rows where n_cores='7' for each talk_time value.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15427,"cached_input_tokens":12032,"output_tokens":484,"reasoning_output_tokens":291}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..52eb3a5d707893a8fde1141a881d88b3daf32c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"talk_time\",\n SUM(CASE WHEN \"n_cores\" = '4' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"n_cores\" = '7' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"talk_time\"\n)\nSELECT \"talk_time\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applies the grouped ratio template with group_col=\"talk_time\" and condition_col=\"n_cores\", computing the ratio of rows where n_cores='4' to rows where n_cores='7' for each talk_time value."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3a2e252c2fadc7fe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9ea7b57c3b8241741135b45e94341d701beab313 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10672, "bytes_utf8": 10672, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1777, "bytes_utf8": 1777, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15252, "cached_input_tokens": 14720, "output_tokens": 1104, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4deda3e4f6a2dff88e7d3be7ff8319c3245d6a96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3bbc1fea0232e27f", + "api_calls": 0, + "input_tokens": 15252, + "cached_input_tokens": 14720, + "output_tokens": 1104, + "total_tokens": 16356, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19756.08, + "sql_execution_elapsed_ms_total": 7.72, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..86413583cf654c6de9b389a4adee821bacbfcfb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:58.848824+00:00", + "ended_at": "2026-05-19T15:59:18.604942+00:00", + "elapsed_ms": 19756.08, + "prompt_metrics": { + "chars": 10672, + "bytes_utf8": 10672, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2390, + "bytes_utf8": 2390, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1777, + "bytes_utf8": 1777, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15252, + "cached_input_tokens": 14720, + "output_tokens": 1104, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f417487c564110e1a6b4f60998ee81fd5568c935 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=fc, measure_col=ram.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "fc", + "measure_col": "ram", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2682.04, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..81c5917bda73498234de079622d49a91c89974dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-3a4a-7ad0-930b-abf7ab649099"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"fc\\\",\\n CAST(\\\"ram\\\" AS REAL) AS \\\"ram_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"fc\\\"\\n ORDER BY CAST(\\\"ram\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"fc\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"fc\\\" IS NOT NULL\\n AND \\\"ram\\\" IS NOT NULL\\n),\\n\\\"percentile_bounds\\\" AS (\\n SELECT DISTINCT\\n \\\"fc\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"rank_value\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER) + (((1.0 + 0.95 * (\\\"cnt\\\" - 1)) > CAST(1.0 + 0.95 * (\\\"cnt\\\" - 1) AS INTEGER))) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"fc\\\",\\n pb.\\\"rank_value\\\",\\n pb.\\\"lower_rn\\\",\\n pb.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = pb.\\\"lower_rn\\\" THEN o.\\\"ram_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = pb.\\\"upper_rn\\\" THEN o.\\\"ram_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"percentile_bounds\\\" AS pb\\n ON o.\\\"fc\\\" = pb.\\\"fc\\\"\\n GROUP BY o.\\\"fc\\\", pb.\\\"rank_value\\\", pb.\\\"lower_rn\\\", pb.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"fc\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"rank_value\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the grouped 0.95 continuous percentile for \\\"ram\\\" within each \\\"fc\\\" group using window functions and linear interpolation. Both \\\"fc\\\" and \\\"ram\\\" are quoted, and \\\"ram\\\" is cast from TEXT to REAL for numeric ordering and calculation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15252,"cached_input_tokens":14720,"output_tokens":1104,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43e58d6e18190f58bf8e86ef1400adc7265e32a4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"fc\",\n CAST(\"ram\" AS REAL) AS \"ram_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"fc\"\n ORDER BY CAST(\"ram\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"fc\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"fc\" IS NOT NULL\n AND \"ram\" IS NOT NULL\n),\n\"percentile_bounds\" AS (\n SELECT DISTINCT\n \"fc\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"rank_value\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) AS \"lower_rn\",\n CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER) + (((1.0 + 0.95 * (\"cnt\" - 1)) > CAST(1.0 + 0.95 * (\"cnt\" - 1) AS INTEGER))) AS \"upper_rn\"\n FROM \"ordered\"\n),\n\"picked\" AS (\n SELECT\n o.\"fc\",\n pb.\"rank_value\",\n pb.\"lower_rn\",\n pb.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = pb.\"lower_rn\" THEN o.\"ram_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = pb.\"upper_rn\" THEN o.\"ram_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"percentile_bounds\" AS pb\n ON o.\"fc\" = pb.\"fc\"\n GROUP BY o.\"fc\", pb.\"rank_value\", pb.\"lower_rn\", pb.\"upper_rn\"\n)\nSELECT\n \"fc\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"rank_value\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the grouped 0.95 continuous percentile for \"ram\" within each \"fc\" group using window functions and linear interpolation. Both \"fc\" and \"ram\" are quoted, and \"ram\" is cast from TEXT to REAL for numeric ordering and calculation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3bbc1fea0232e27f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fcfb02955b3c92591c9e561ae3050503e9e8edc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10496, "bytes_utf8": 10496, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 342, "bytes_utf8": 342, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15216, "cached_input_tokens": 12032, "output_tokens": 391, "reasoning_output_tokens": 294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..adab05f3cb66bdd4529294aab17151dbc49e8beb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3be8e0663ca1beee", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 391, + "total_tokens": 15607, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14984.2, + "sql_execution_elapsed_ms_total": 1.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..27d5d441a816bf0cc5499ef0d091fe5814a484d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:39.877716+00:00", + "ended_at": "2026-05-19T15:30:54.861946+00:00", + "elapsed_ms": 14984.2, + "prompt_metrics": { + "chars": 10496, + "bytes_utf8": 10496, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1029, + "bytes_utf8": 1029, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 342, + "bytes_utf8": 342, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15216, + "cached_input_tokens": 12032, + "output_tokens": 391, + "reasoning_output_tokens": 294 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e1617a9c69ac38a4b2830142a83f6a5e5c94f8d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=n_cores, measure_col=pc.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "n_cores", + "measure_col": "pc", + "top_k": 11, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..39afcbf8d74a5f84ed1c14f0d058a14ef8ded1a0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40dc-4d8f-7512-b265-91e9444a0e46"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15851. Please try again in 475ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"n_cores\\\", SUM(CAST(\\\"pc\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned grouped numeric sum template with \\\"n_cores\\\" as the grouping column and cast \\\"pc\\\" from TEXT to NUMERIC for SQLite-compatible summation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15216,"cached_input_tokens":12032,"output_tokens":391,"reasoning_output_tokens":294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be0b10fb22e1728b6e4727aef90006c6cb650e32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"n_cores\", SUM(CAST(\"pc\" AS NUMERIC)) AS total_measure\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY total_measure DESC;","notes":"Used the planned grouped numeric sum template with \"n_cores\" as the grouping column and cast \"pc\" from TEXT to NUMERIC for SQLite-compatible summation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3be8e0663ca1beee/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5eb987fceb99597eae13617fac6d4b6d8021fbb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10411, "bytes_utf8": 10411, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 307, "bytes_utf8": 307, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15188, "cached_input_tokens": 12032, "output_tokens": 302, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8212dc195761e7070e451e6221332082e99eee8c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3cc6e824bb9b7591", + "api_calls": 0, + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 302, + "total_tokens": 15490, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 24540.23, + "sql_execution_elapsed_ms_total": 2.02, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9bbccffe168a0aabc79bc267bf66af72e85a5394 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:07.436844+00:00", + "ended_at": "2026-05-19T15:32:31.977112+00:00", + "elapsed_ms": 24540.23, + "prompt_metrics": { + "chars": 10411, + "bytes_utf8": 10411, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1992, + "bytes_utf8": 1992, + "lines": 8, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 307, + "bytes_utf8": 307, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15188, + "cached_input_tokens": 12032, + "output_tokens": 302, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ea196272c2b5af0c6f998b9cc7d06cdced4ab97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=wifi.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "wifi", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..97d1926ba0401690f9d8aa1635fac053cf47e374 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,8 @@ +{"type":"thread.started","thread_id":"019e40dd-a397-7851-a3d3-a44602a511e1"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984953, Requested 15823. Please try again in 23ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987791, Requested 15823. Please try again in 108ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15823. Please try again in 474ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"wifi\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Uses the planned Grouped Count by Category template with group_col bound to \\\"wifi\\\" to inspect count distribution across wifi subgroups.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15188,"cached_input_tokens":12032,"output_tokens":302,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1736634250afe9f667929c59a1b2b8e06d040d19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"wifi\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"wifi\"\nORDER BY \"row_count\" DESC;","notes":"Uses the planned Grouped Count by Category template with group_col bound to \"wifi\" to inspect count distribution across wifi subgroups."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3cc6e824bb9b7591/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1fa348d424e24f71c6c4fc10ebfc0b380060eb66 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10502, "bytes_utf8": 10502, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10502, "bytes_utf8": 10502, "lines": 346, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15228, "cached_input_tokens": 12032, "output_tokens": 383, "reasoning_output_tokens": 278}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9b667008e7a5e4f5084064dbaf688cee411587b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3dc76210a2ffb9bc", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 383, + "total_tokens": 15611, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15646.15, + "sql_execution_elapsed_ms_total": 1.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb4f0d477ea77a2319c642b45b2d4e30694c3215 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:34.594892+00:00", + "ended_at": "2026-05-19T16:05:38.707199+00:00", + "elapsed_ms": 4112.28, + "returncode": 1, + "prompt_metrics": { + "chars": 10502, + "bytes_utf8": 10502, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f6e478fe8141cce4ad4a86b13368cdbe9d64a9e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:39.710650+00:00", + "ended_at": "2026-05-19T16:05:51.244567+00:00", + "elapsed_ms": 11533.87, + "prompt_metrics": { + "chars": 10502, + "bytes_utf8": 10502, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 719, + "bytes_utf8": 719, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 358, + "bytes_utf8": 358, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 383, + "reasoning_output_tokens": 278 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..84a81d7b7a9803410a2fabb001ccd1adaee34847 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=n_cores.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "n_cores", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..84a81d7b7a9803410a2fabb001ccd1adaee34847 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=n_cores.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "n_cores", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c083b3ecb57c49ff4fed8528ebf46a2188c6685e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4416-7b02-a7fe-53735f11632b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..431aefc8b49467c54a58c71809033dd7086ee3e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-4416-7b02-a7fe-53735f11632b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d99fd6b7679d62fee158d061fc888fca6beef563 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-5808-7103-ba95-5f7766d60bf4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"n_cores\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"n_cores\\\"\\nORDER BY \\\"support\\\" ASC, \\\"n_cores\\\"\\nLIMIT 16;\",\"notes\":\"Counts rows for each \\\"n_cores\\\" value and returns the 16 groups with the lowest support, following the planned Low-Support Group Count template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15228,"cached_input_tokens":12032,"output_tokens":383,"reasoning_output_tokens":278}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3aaad5eead06959efb1f6081bc979336fab75007 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"n_cores\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"n_cores\"\nORDER BY \"support\" ASC, \"n_cores\"\nLIMIT 16;","notes":"Counts rows for each \"n_cores\" value and returns the 16 groups with the lowest support, following the planned Low-Support Group Count template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3dc76210a2ffb9bc/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ea8a4ee5d2e25d0cc6a6fc67a31e3ec99b9d5457 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10907, "bytes_utf8": 10907, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 562, "bytes_utf8": 562, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15335, "cached_input_tokens": 12032, "output_tokens": 500, "reasoning_output_tokens": 332}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d3f9d40ebcd914d99994ca9c0a729d7282426068 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3e06d77fefa69205", + "api_calls": 0, + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 500, + "total_tokens": 15835, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11122.05, + "sql_execution_elapsed_ms_total": 11.37, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..67b3e54658d3d683938c29907450e1a7cc24f2f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:24.239629+00:00", + "ended_at": "2026-05-19T15:38:35.361705+00:00", + "elapsed_ms": 11122.05, + "prompt_metrics": { + "chars": 10907, + "bytes_utf8": 10907, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 954, + "bytes_utf8": 954, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 562, + "bytes_utf8": 562, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15335, + "cached_input_tokens": 12032, + "output_tokens": 500, + "reasoning_output_tokens": 332 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d1ff3d07269aae2120bd4140b77b6b8c18a9717f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=fc, measure_col=n_cores.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "fc", + "measure_col": "n_cores", + "item_col": "px_width", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b2bb37bb681d7f8950029803bd501b0f7703c2c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-6372-7783-91ee-60cf07c99253"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"fc\\\", \\\"px_width\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"n_cores\\\" AS REAL))) OVER (PARTITION BY \\\"fc\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\", \\\"px_width\\\"\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"fc\\\", item_col=\\\"px_width\\\", and measure_col=\\\"n_cores\\\". Casted the measure from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15335,"cached_input_tokens":12032,"output_tokens":500,"reasoning_output_tokens":332}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a9e73a1fa50051fdb8adffacea5fcbdaa698597 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"fc\", \"px_width\",\n SUM(CAST(\"n_cores\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"n_cores\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"n_cores\" AS REAL))) OVER (PARTITION BY \"fc\") AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY \"fc\", \"px_width\"\nORDER BY \"share_within_group\" DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"fc\", item_col=\"px_width\", and measure_col=\"n_cores\". Casted the measure from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e06d77fefa69205/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..84de0e22375849530f7a5dd6cbc439d0a43ef402 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10593, "bytes_utf8": 10593, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10593, "bytes_utf8": 10593, "lines": 348, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 400, "bytes_utf8": 400, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 12032, "output_tokens": 289, "reasoning_output_tokens": 183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4a181478b57848ac9687872546f2a9359761a6fc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_3e9f8cc2002dc7f1", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 289, + "total_tokens": 15516, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11073.78, + "sql_execution_elapsed_ms_total": 3.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5d1ce2e599960ef11961d71862d2a09683ec122f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:19.580321+00:00", + "ended_at": "2026-05-19T16:07:22.745899+00:00", + "elapsed_ms": 3165.55, + "returncode": 1, + "prompt_metrics": { + "chars": 10593, + "bytes_utf8": 10593, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7fd20c45d5b595456231ff044474522a6ef3c760 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:23.748305+00:00", + "ended_at": "2026-05-19T16:07:31.656580+00:00", + "elapsed_ms": 7908.23, + "prompt_metrics": { + "chars": 10593, + "bytes_utf8": 10593, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 759, + "bytes_utf8": 759, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 400, + "bytes_utf8": 400, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15227, + "cached_input_tokens": 12032, + "output_tokens": 289, + "reasoning_output_tokens": 183 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8c86c69b31dc2d95c8b63878b6594eb8f4dde03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=clock_speed, measure_col=sc_h.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "clock_speed", + "measure_col": "sc_h", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8c86c69b31dc2d95c8b63878b6594eb8f4dde03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=clock_speed, measure_col=sc_h.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "clock_speed", + "measure_col": "sc_h", + "top_k": 16, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..03a8d6b4f0db368cab47f6aee91eb03decaf9e9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-de0a-7393-8f96-67e4690df3f7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e94e38ae917a970b3115a11f4ed009af4a506f19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-de0a-7393-8f96-67e4690df3f7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f1f5c4aa1a0bde25c5f5fbc64629b5e2bfd7d773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-ee7e-7c92-80b0-3c44748a074f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT\\n \\\"clock_speed\\\",\\n AVG(CAST(\\\"sc_h\\\" AS REAL)) OVER (PARTITION BY \\\"clock_speed\\\") AS avg_measure\\nFROM \\\"m10\\\"\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the planned Window Partition Average template with group_col=\\\"clock_speed\\\" and measure_col=\\\"sc_h\\\". Cast \\\"sc_h\\\" from TEXT to REAL for numeric averaging in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15227,"cached_input_tokens":12032,"output_tokens":289,"reasoning_output_tokens":183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..476a7d36234ca95c1c86901e11f3e30a831412e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT\n \"clock_speed\",\n AVG(CAST(\"sc_h\" AS REAL)) OVER (PARTITION BY \"clock_speed\") AS avg_measure\nFROM \"m10\"\nORDER BY avg_measure DESC;","notes":"Applied the planned Window Partition Average template with group_col=\"clock_speed\" and measure_col=\"sc_h\". Cast \"sc_h\" from TEXT to REAL for numeric averaging in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_3e9f8cc2002dc7f1/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c21195c71566903df9d9af192e08224f83023ca5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:59.071499+00:00", + "ended_at": "2026-05-19T16:01:02.339533+00:00", + "elapsed_ms": 3268.0, + "returncode": 1, + "prompt_metrics": { + "chars": 10743, + "bytes_utf8": 10743, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9ee1093df0e14a68c25069226f4f7fa551b7f44f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:03.342393+00:00", + "ended_at": "2026-05-19T16:01:06.667779+00:00", + "elapsed_ms": 3325.34, + "returncode": 1, + "prompt_metrics": { + "chars": 10743, + "bytes_utf8": 10743, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..215008ab2e77f0c4f58de276f5e79fba9e369a7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=three_g, condition_col=dual_sim.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "three_g", + "condition_col": "dual_sim", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..215008ab2e77f0c4f58de276f5e79fba9e369a7f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=three_g, condition_col=dual_sim.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "three_g", + "condition_col": "dual_sim", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d111070517cb7795e41c27418c86cefe7fbca723 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0fdb-7c70-b855-277fe10c9088"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cfce43776fe70348665489f2385048ff57a2e9f9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0fdb-7c70-b855-277fe10c9088"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8095700a919a605e78f6dade7a2a5daeadc765b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-2081-7680-b23a-77ba31ce8cbe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8c892f8d2e564cd8ee37f65fda75e94bd1ada99 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-2081-7680-b23a-77ba31ce8cbe"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_421f90820dd90f7c/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..067e9b9616c94d8ce68a448ef5c1ad91e7f5479f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:22.175044+00:00", + "ended_at": "2026-05-19T16:00:26.710929+00:00", + "elapsed_ms": 4535.86, + "returncode": 1, + "prompt_metrics": { + "chars": 10744, + "bytes_utf8": 10744, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 176, + "bytes_utf8": 176, + "lines": 1, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: 2026-05-19T16:00:23.934226Z ERROR codex_api::endpoint::responses_websocket: failed to connect to websocket: HTTP error: 502 Bad Gateway, url: wss://api.openai.com/v1/responses", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cd195eded794c4da18a554e09991ec82985719a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:27.713425+00:00", + "ended_at": "2026-05-19T16:00:30.751943+00:00", + "elapsed_ms": 3038.48, + "returncode": 1, + "prompt_metrics": { + "chars": 10744, + "bytes_utf8": 10744, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..870840c8d104947057151726e7b2a5d495ae3716 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=sc_w, condition_col=int_memory.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sc_w", + "condition_col": "int_memory", + "condition_value": "27", + "positive_value": "27", + "negative_value": "14", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..870840c8d104947057151726e7b2a5d495ae3716 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=sc_w, condition_col=int_memory.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sc_w", + "condition_col": "int_memory", + "condition_value": "27", + "positive_value": "27", + "negative_value": "14", + "top_k": 14, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ebb206a98da6f4058dd43dfb3d8aeb0ed46312a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-7f97-72f2-9583-b0e9bdf2dbf8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0a7b65d7195153662a4a6d3eb800d5d62e78e76c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-7f97-72f2-9583-b0e9bdf2dbf8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..48b69f24b14ee3172707fd39b247a7c0b1876b2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9550-7801-8db2-b6ba2201f428"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fdadb340d3ecf8b870bcffc946c309cc1488ccc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_42391405f2527d3d/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-9550-7801-8db2-b6ba2201f428"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. 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"bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10726, "bytes_utf8": 10726, "lines": 351, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 379, "bytes_utf8": 379, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15274, "cached_input_tokens": 14720, "output_tokens": 288, "reasoning_output_tokens": 182}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/session_summary.json new file 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"/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b1850679b7c0bf91539ee8236480e707c0a8ed37 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:35.273194+00:00", + "ended_at": "2026-05-19T15:59:38.161929+00:00", + "elapsed_ms": 2888.71, + "returncode": 1, + "prompt_metrics": { + "chars": 10726, + "bytes_utf8": 10726, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..76d481750a43835703f8f2d7eb4293b740c00fd8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:59:39.163579+00:00", + "ended_at": "2026-05-19T15:59:48.337432+00:00", + "elapsed_ms": 9173.81, + "prompt_metrics": { + "chars": 10726, + "bytes_utf8": 10726, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 734, + "bytes_utf8": 734, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 379, + "bytes_utf8": 379, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15274, + "cached_input_tokens": 14720, + "output_tokens": 288, + "reasoning_output_tokens": 182 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a67c45d111e210e296b7fa98adc52a0f6fc8f92f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=pc, condition_col=wifi.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "pc", + "condition_col": "wifi", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a67c45d111e210e296b7fa98adc52a0f6fc8f92f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=pc, condition_col=wifi.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "pc", + "condition_col": "wifi", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b3ce532382fc895de7f33a3fad076a348454da5f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c87b-74e3-a124-732bce4968ee"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c6999298ff3cbdab3e889d11939bce56da31dc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-c87b-74e3-a124-732bce4968ee"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce0f47bcb46f226e755e9db5fb7d798ac3832cbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f6-d7b5-7301-b07c-6df2635a64d9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"pc\\\",\\n AVG(CASE WHEN \\\"wifi\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"pc\\\" and condition_col=\\\"wifi\\\", computing the share of rows where wifi='1' within each pc group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15274,"cached_input_tokens":14720,"output_tokens":288,"reasoning_output_tokens":182}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c19f0f333b1c1a3a29f4a10cbc44a0b0965b300b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"pc\",\n AVG(CASE WHEN \"wifi\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY condition_rate DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"pc\" and condition_col=\"wifi\", computing the share of rows where wifi='1' within each pc group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_427f95a87bf25c6d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..6a093d475a827f5ee4fa8124fa2f627bf9a25ec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11070, "bytes_utf8": 11070, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 14720, "output_tokens": 462, "reasoning_output_tokens": 281}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..514f595c5cf20e8fa9bb9086091584cdd4d49890 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_479f4317c2f734d1", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 462, + "total_tokens": 15815, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9251.19, + "sql_execution_elapsed_ms_total": 1.62, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e5aa3ce343220917e89219ad9c41893062551f4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:10.958653+00:00", + "ended_at": "2026-05-19T15:48:20.209883+00:00", + "elapsed_ms": 9251.19, + "prompt_metrics": { + "chars": 11070, + "bytes_utf8": 11070, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1058, + "bytes_utf8": 1058, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 462, + "reasoning_output_tokens": 281 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..344ada871e695a6760759b7e13875c367866f5cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=dual_sim, measure_col=px_height.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_height", + "top_k": 17, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f04bdc22594fb830879584fe165a6f7c61b0fdb7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-574e-74c2-9389-43321e3cbfe7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"dual_sim\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"dual_sim\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"dual_sim\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"dual_sim\\\" and measure_col=\\\"px_height\\\". Cast \\\"px_height\\\" to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15353,"cached_input_tokens":14720,"output_tokens":462,"reasoning_output_tokens":281}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..be4df34499811d89f7d94dbe28cc02c04f95d1f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"dual_sim\", SUM(CAST(\"px_height\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY \"dual_sim\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"dual_sim\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"dual_sim\" and measure_col=\"px_height\". Cast \"px_height\" to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_479f4317c2f734d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..858e98646309d2709a5c0a1684ddb7cfadeb804f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10691, "bytes_utf8": 10691, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10691, "bytes_utf8": 10691, "lines": 348, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 1061, "bytes_utf8": 1061, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15256, "cached_input_tokens": 14720, "output_tokens": 1547, "reasoning_output_tokens": 1229}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0d6a9c38fa5ea0354c524683785ccccd75a7285b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_47ab4f0d951dab4d", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 14720, + "output_tokens": 1547, + "total_tokens": 16803, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 27487.09, + "sql_execution_elapsed_ms_total": 14.53, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..00bee12e1ae6d22195daa88d54ae177b47a65e20 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:02.865603+00:00", + "ended_at": "2026-05-19T15:58:06.113409+00:00", + "elapsed_ms": 3247.77, + "returncode": 1, + "prompt_metrics": { + "chars": 10691, + "bytes_utf8": 10691, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8918f2cdf61ea66b0005fcc6f1af8ae7d874c3f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:58:07.115750+00:00", + "ended_at": "2026-05-19T15:58:31.355119+00:00", + "elapsed_ms": 24239.32, + "prompt_metrics": { + "chars": 10691, + "bytes_utf8": 10691, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1546, + "bytes_utf8": 1546, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1061, + "bytes_utf8": 1061, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15256, + "cached_input_tokens": 14720, + "output_tokens": 1547, + "reasoning_output_tokens": 1229 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3c2aafb77d84db686a4e77e28e617f4468e4f07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=dual_sim, measure_col=px_width.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_width", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c3c2aafb77d84db686a4e77e28e617f4468e4f07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=dual_sim, measure_col=px_width.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "dual_sim", + "measure_col": "px_width", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b831ca2c56259e35c94e8524b82a58b6eb794b52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-5f7a-7933-a60e-8458c29d4d26"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..251c5181da14ef00bd8977b34090a062680e75af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-5f7a-7933-a60e-8458c29d4d26"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6efc7d3bf77799ff5fc3a774b62be24e614f0e33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f5-7018-77c2-8938-abfa3b003995"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"dual_sim\\\",\\n CAST(\\\"px_width\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ORDER BY CAST(\\\"px_width\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"dual_sim\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"dual_sim\\\" IS NOT NULL\\n AND \\\"px_width\\\" IS NOT NULL\\n),\\n\\\"scored\\\" AS (\\n SELECT\\n \\\"dual_sim\\\",\\n \\\"measure_value\\\",\\n \\\"rn\\\",\\n MIN(CASE WHEN \\\"rn\\\" >= 0.95 * \\\"cnt\\\" THEN \\\"rn\\\" END) OVER (\\n PARTITION BY \\\"dual_sim\\\"\\n ) AS \\\"target_rn\\\"\\n FROM \\\"ranked\\\"\\n)\\nSELECT\\n \\\"dual_sim\\\",\\n \\\"measure_value\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"scored\\\"\\nWHERE \\\"rn\\\" = \\\"target_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank implementation of the 95th percentile for \\\"px_width\\\" within each \\\"dual_sim\\\" group. \\\"px_width\\\" is cast to REAL because the schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15256,"cached_input_tokens":14720,"output_tokens":1547,"reasoning_output_tokens":1229}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea70c60e8833f832aa9f6751d3efcd50db494e9c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"dual_sim\",\n CAST(\"px_width\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"dual_sim\"\n ORDER BY CAST(\"px_width\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"dual_sim\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"dual_sim\" IS NOT NULL\n AND \"px_width\" IS NOT NULL\n),\n\"scored\" AS (\n SELECT\n \"dual_sim\",\n \"measure_value\",\n \"rn\",\n MIN(CASE WHEN \"rn\" >= 0.95 * \"cnt\" THEN \"rn\" END) OVER (\n PARTITION BY \"dual_sim\"\n ) AS \"target_rn\"\n FROM \"ranked\"\n)\nSELECT\n \"dual_sim\",\n \"measure_value\" AS \"percentile_measure\"\nFROM \"scored\"\nWHERE \"rn\" = \"target_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a window-function nearest-rank implementation of the 95th percentile for \"px_width\" within each \"dual_sim\" group. \"px_width\" is cast to REAL because the schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_47ab4f0d951dab4d/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..df8044e4d33f980e671267e05c16b1dde18a5b06 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10938, "bytes_utf8": 10938, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 643, "bytes_utf8": 643, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15336, "cached_input_tokens": 12288, "output_tokens": 669, "reasoning_output_tokens": 501}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3e0d07b73c31b0455b4b30a058c9f762231e6a28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4c7aa77fc71e7600", + "api_calls": 0, + "input_tokens": 15336, + "cached_input_tokens": 12288, + "output_tokens": 669, + "total_tokens": 16005, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13243.06, + "sql_execution_elapsed_ms_total": 2.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..87c9cbb5879a69d1ee28f07f436eb41f1443be11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:38.839425+00:00", + "ended_at": "2026-05-19T15:35:52.082515+00:00", + "elapsed_ms": 13243.06, + "prompt_metrics": { + "chars": 10938, + "bytes_utf8": 10938, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1023, + "bytes_utf8": 1023, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 643, + "bytes_utf8": 643, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15336, + "cached_input_tokens": 12288, + "output_tokens": 669, + "reasoning_output_tokens": 501 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6811c7e8d983a8ae2c0950c9c81a67a9adb0ce8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=touch_screen, measure_col=price_range.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "touch_screen", + "measure_col": "price_range", + "item_col": "clock_speed", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5d3d2747b52f11644bbb2e621748e00933d9a51c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e0-dd5a-76f2-b525-8f72ba381b34"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"touch_screen\\\", \\\"clock_speed\\\",\\n SUM(CAST(\\\"price_range\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"price_range\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"price_range\\\" AS REAL))) OVER (PARTITION BY \\\"touch_screen\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\", \\\"clock_speed\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"touch_screen\\\", item_col=\\\"clock_speed\\\", and measure_col=\\\"price_range\\\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15336,"cached_input_tokens":12288,"output_tokens":669,"reasoning_output_tokens":501}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a49ce5b6bce18d6c02b1532fac1a635e9032bb69 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"touch_screen\", \"clock_speed\",\n SUM(CAST(\"price_range\" AS REAL)) AS total_measure,\n SUM(CAST(\"price_range\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"price_range\" AS REAL))) OVER (PARTITION BY \"touch_screen\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"touch_screen\", \"clock_speed\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"touch_screen\", item_col=\"clock_speed\", and measure_col=\"price_range\". CAST to REAL is used because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c7aa77fc71e7600/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..f60f2d2c88cce7be47f039f875b9bc1a159e699b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11055, "bytes_utf8": 11055, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 624, "bytes_utf8": 624, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 14720, "output_tokens": 408, "reasoning_output_tokens": 238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0c88177078b691837706a38a47fb7ac7d73e9705 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4c9fb7e19cfc42ff", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 408, + "total_tokens": 15760, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10256.66, + "sql_execution_elapsed_ms_total": 1.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..42fbc096977d5a1e8a7c5e91dedd89f2c17e5d07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:25.360877+00:00", + "ended_at": "2026-05-19T15:47:35.617598+00:00", + "elapsed_ms": 10256.66, + "prompt_metrics": { + "chars": 11055, + "bytes_utf8": 11055, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 997, + "bytes_utf8": 997, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 624, + "bytes_utf8": 624, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 408, + "reasoning_output_tokens": 238 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..edbf808789f1b5f263609d78246142a0409c7337 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=blue, measure_col=n_cores.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "blue", + "measure_col": "n_cores", + "top_k": 15, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..40c6669eb7c1e14ee9f4252c70b6ddeb1754e241 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-a5b1-7291-9767-1e0d2bda7275"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT\\n \\\"blue\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"blue\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"blue\\\" and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" from TEXT to REAL for SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15352,"cached_input_tokens":14720,"output_tokens":408,"reasoning_output_tokens":238}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a5963e5357e3b394860bd51eeeaa8acd0cf6cdc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT\n \"blue\",\n SUM(CAST(\"n_cores\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"blue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"blue\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"blue\" and measure_col=\"n_cores\". Cast \"n_cores\" from TEXT to REAL for SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4c9fb7e19cfc42ff/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..717c57b0a26b2158dc8fe31aa8b2d70d8ff0e2fd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:04.646101+00:00", + "ended_at": "2026-05-19T16:05:07.758417+00:00", + "elapsed_ms": 3112.29, + "returncode": 1, + "prompt_metrics": { + "chars": 10497, + "bytes_utf8": 10497, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..04159a8ca4fff6f6654bebbd20b57db58746eb02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:08.761311+00:00", + "ended_at": "2026-05-19T16:05:12.068567+00:00", + "elapsed_ms": 3307.21, + "returncode": 1, + "prompt_metrics": { + "chars": 10497, + "bytes_utf8": 10497, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac8892b1e1b314b191b1c107b3c0fe99d6d33bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=four_g.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "four_g", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ac8892b1e1b314b191b1c107b3c0fe99d6d33bd0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role count_distribution. Focus on group_col=four_g.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "four_g", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..12e425a4c590f53a3d75a720125b5692cd4d7beb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cf12-7390-80f2-1b6df16ec2a1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1feb4f2e00ac12d18416424fc3e0cac236837e71 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-cf12-7390-80f2-1b6df16ec2a1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63cb78f73ccac19e572f38dad974afc9c4a5bdd1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df2a-7e82-833e-d85f8eb308c7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..46abc45aec85670ed3295cc7261fcf27db665de4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-df2a-7e82-833e-d85f8eb308c7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4d467688c5a9b698/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7233f347e32564f26fe2d28d0f0de474440eb0dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11055, "bytes_utf8": 11055, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 601, "bytes_utf8": 601, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 12032, "output_tokens": 558, "reasoning_output_tokens": 385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1338c1102d8a11e398dcbf6da00a81f0625db701 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_4f1e12a7b0ef44b6", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 12032, + "output_tokens": 558, + "total_tokens": 15910, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18748.54, + "sql_execution_elapsed_ms_total": 2.74, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ac452b6b94e0e582c8bfac2dc8ea4a55f9294440 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:50.252196+00:00", + "ended_at": "2026-05-19T15:49:09.000773+00:00", + "elapsed_ms": 18748.54, + "prompt_metrics": { + "chars": 11055, + "bytes_utf8": 11055, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1666, + "bytes_utf8": 1666, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 601, + "bytes_utf8": 601, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15352, + "cached_input_tokens": 12032, + "output_tokens": 558, + "reasoning_output_tokens": 385 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..55bd1da34fa71cba1221039344eeeab4e8068aad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=four_g, measure_col=ram.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "four_g", + "measure_col": "ram", + "top_k": 19, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2682.04, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..187bfa9434b58cd121bb1b797eaa5189b8ff9adc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40ec-f0f2-7160-9eb7-55c342a2c2b6"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987679, Requested 15987. Please try again in 109ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15987. Please try again in 479ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"four_g\\\", SUM(CAST(\\\"ram\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY \\\"four_g\\\"\\n), total AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM grouped\\n)\\nSELECT g.\\\"four_g\\\", g.\\\"group_value\\\"\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"four_g\\\" and measure_col=\\\"ram\\\". Cast \\\"ram\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15352,"cached_input_tokens":12032,"output_tokens":558,"reasoning_output_tokens":385}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1a8eae3d5074a0c045ccaf33eab1d6411434bde --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"four_g\", SUM(CAST(\"ram\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY \"four_g\"\n), total AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM grouped\n)\nSELECT g.\"four_g\", g.\"group_value\"\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Used the required template with group_col=\"four_g\" and measure_col=\"ram\". Cast \"ram\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_4f1e12a7b0ef44b6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5ac0f0fd5bc387f89542b3e9c248a353ef06d050 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10504, "bytes_utf8": 10504, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 455, "bytes_utf8": 455, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 535, "reasoning_output_tokens": 415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6f0a47f36108d9d5458a1c935e4269dbbc96bb34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_513ab70bafd29e85", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 535, + "total_tokens": 15752, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18962.68, + "sql_execution_elapsed_ms_total": 2.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..879a3028a83f9587fc6344c2d8105724388e8d0f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:30.913473+00:00", + "ended_at": "2026-05-19T15:31:49.876186+00:00", + "elapsed_ms": 18962.68, + "prompt_metrics": { + "chars": 10504, + "bytes_utf8": 10504, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1487, + "bytes_utf8": 1487, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 455, + "bytes_utf8": 455, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 535, + "reasoning_output_tokens": 415 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65c138f97ae431b63940f15e91b9824f192bb738 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=sc_h, measure_col=px_width.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "sc_h", + "measure_col": "px_width", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec2d7a1f73ac652271bbda7ea7c485c79c5df977 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dd-14df-7222-84b3-5374ae6dac5d"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15852. Please try again in 475ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15852. Please try again in 475ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT CAST(\\\"sc_h\\\" AS INTEGER) AS \\\"sc_h\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"sc_h\\\" AS INTEGER)\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the requested grouped numeric sum template with \\\"sc_h\\\" as the grouping column and \\\"px_width\\\" as the summed measure, casting both from TEXT-backed schema values to numeric types for correct SQLite aggregation.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15217,"cached_input_tokens":12032,"output_tokens":535,"reasoning_output_tokens":415}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3bfe35d368c47a9f74fc160685d98024fcb485aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT CAST(\"sc_h\" AS INTEGER) AS \"sc_h\", SUM(CAST(\"px_width\" AS REAL)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY CAST(\"sc_h\" AS INTEGER)\nORDER BY \"total_measure\" DESC;","notes":"Used the requested grouped numeric sum template with \"sc_h\" as the grouping column and \"px_width\" as the summed measure, casting both from TEXT-backed schema values to numeric types for correct SQLite aggregation."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_513ab70bafd29e85/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..90923ca90c803ed450ea946285add1a3d6dc01aa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10688, "bytes_utf8": 10688, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 837, "bytes_utf8": 837, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15254, "cached_input_tokens": 14720, "output_tokens": 1154, "reasoning_output_tokens": 919}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..285faba35fe783048a88c9db77f408f8bc3e3af6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_52b465ebb217bc99", + "api_calls": 0, + "input_tokens": 15254, + "cached_input_tokens": 14720, + "output_tokens": 1154, + "total_tokens": 16408, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 20391.59, + "sql_execution_elapsed_ms_total": 5.26, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..efa115a9175fc71c6e9b5e69035af14edde8b5af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:36.626800+00:00", + "ended_at": "2026-05-19T15:52:57.018415+00:00", + "elapsed_ms": 20391.59, + "prompt_metrics": { + "chars": 10688, + "bytes_utf8": 10688, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1259, + "bytes_utf8": 1259, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 837, + "bytes_utf8": 837, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15254, + "cached_input_tokens": 14720, + "output_tokens": 1154, + "reasoning_output_tokens": 919 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..789004082b668d429a6df2612a521f86eac2debe --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=touch_screen, measure_col=m_dep.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "touch_screen", + "measure_col": "m_dep", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fcaf7577c6af9c58abb615854be53b05af82dcf7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-653e-7f51-8e25-f503178caeb4"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"touch_screen\\\",\\n CAST(NULLIF(\\\"m_dep\\\", '') AS REAL) AS \\\"measure_value\\\",\\n CUME_DIST() OVER (\\n PARTITION BY \\\"touch_screen\\\"\\n ORDER BY CAST(NULLIF(\\\"m_dep\\\", '') AS REAL)\\n ) AS \\\"cum_dist\\\"\\n FROM \\\"m10\\\"\\n WHERE NULLIF(\\\"touch_screen\\\", '') IS NOT NULL\\n AND NULLIF(\\\"m_dep\\\", '') IS NOT NULL\\n)\\nSELECT\\n \\\"touch_screen\\\",\\n MIN(\\\"measure_value\\\") AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"cum_dist\\\" >= 0.9\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a CUME_DIST-based discrete percentile: the smallest casted \\\"m_dep\\\" value whose cumulative distribution reaches at least 0.9 within each \\\"touch_screen\\\" group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15254,"cached_input_tokens":14720,"output_tokens":1154,"reasoning_output_tokens":919}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..781c0fd89febe992c8867c06a876a7b97f45888f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"touch_screen\",\n CAST(NULLIF(\"m_dep\", '') AS REAL) AS \"measure_value\",\n CUME_DIST() OVER (\n PARTITION BY \"touch_screen\"\n ORDER BY CAST(NULLIF(\"m_dep\", '') AS REAL)\n ) AS \"cum_dist\"\n FROM \"m10\"\n WHERE NULLIF(\"touch_screen\", '') IS NOT NULL\n AND NULLIF(\"m_dep\", '') IS NOT NULL\n)\nSELECT\n \"touch_screen\",\n MIN(\"measure_value\") AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"cum_dist\" >= 0.9\nGROUP BY \"touch_screen\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a CUME_DIST-based discrete percentile: the smallest casted \"m_dep\" value whose cumulative distribution reaches at least 0.9 within each \"touch_screen\" group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_52b465ebb217bc99/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..5e0474b466168682cc7b0c14125b6d8c0a7b3002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_592a6649490be35d", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1490, + "total_tokens": 16745, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 28121.87, + "sql_execution_elapsed_ms_total": 12.95, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c99ea619f2a4f7bb7f859dd0065f8db54cda11f6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=clock_speed, measure_col=px_height.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "clock_speed", + "measure_col": "px_height", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a8954f5cedf124aa5ec1e373157fcbde7805771c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-272a-76f0-8e4f-36baa800d129"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ab57632b790498a44133014a3922f65d6735f36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-37c8-7eb3-a6a3-9c50804a9cbd"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"clock_speed\\\",\\n CAST(\\\"px_height\\\" AS REAL) AS \\\"measure_val\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"clock_speed\\\"\\n ORDER BY CAST(\\\"px_height\\\" AS REAL)\\n ) AS \\\"rn_asc\\\",\\n COUNT(*) OVER (PARTITION BY \\\"clock_speed\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND \\\"px_height\\\" IS NOT NULL\\n)\\nSELECT\\n \\\"clock_speed\\\",\\n MIN(CASE WHEN \\\"rn_asc\\\" >= 0.9 * \\\"cnt\\\" THEN \\\"measure_val\\\" END) AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nGROUP BY \\\"clock_speed\\\"\\nHAVING COUNT(*) >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 90th percentile per clock_speed group by selecting the first ordered px_height where row_number/count >= 0.9. \\\"px_height\\\" is cast from TEXT to REAL, and groups with fewer than 5 rows are excluded using the provided min_group_size binding.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":1490,"reasoning_output_tokens":1210}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_592a6649490be35d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d007b32e17ad22e75bc88520b20847cb1cfed33b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10434, "bytes_utf8": 10434, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 334, "bytes_utf8": 334, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15204, "cached_input_tokens": 14720, "output_tokens": 255, "reasoning_output_tokens": 153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..683e0617052cfd0ada75fd45bec70e9078dc5f56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_59b21148b4d0606d", + "api_calls": 0, + "input_tokens": 15204, + "cached_input_tokens": 14720, + "output_tokens": 255, + "total_tokens": 15459, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7360.81, + "sql_execution_elapsed_ms_total": 0.68, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d3cf67179eb5102f780161f45a74980b27db8e86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:05.793071+00:00", + "ended_at": "2026-05-19T16:03:13.153914+00:00", + "elapsed_ms": 7360.81, + "prompt_metrics": { + "chars": 10434, + "bytes_utf8": 10434, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 682, + "bytes_utf8": 682, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 334, + "bytes_utf8": 334, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15204, + "cached_input_tokens": 14720, + "output_tokens": 255, + "reasoning_output_tokens": 153 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..304159a96a5444dd5ac0ff1fdc8729c27da0b43f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=fc.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "fc", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e049922f848241d92c718665f1cb5070dfdb7f86 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-febb-77c1-b340-fb5503c5db2e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"fc\\\" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"fc\\\" and threshold 7.0; cast \\\"fc\\\" to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15204,"cached_input_tokens":14720,"output_tokens":255,"reasoning_output_tokens":153}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1d7d2c9a63780b2990596e6b623ed88d621bc56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"fc\" AS REAL) <= 7.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"fc\" and threshold 7.0; cast \"fc\" to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_59b21148b4d0606d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d1efd6b806335fef9210ee6aad8b03039d03fe34 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:30.311385+00:00", + "ended_at": "2026-05-19T16:08:33.039424+00:00", + "elapsed_ms": 2728.01, + "returncode": 1, + "prompt_metrics": { + "chars": 10603, + "bytes_utf8": 10603, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b10107654e1c29da844159e7befb06f60b384251 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:08:34.041509+00:00", + "ended_at": "2026-05-19T16:08:37.452370+00:00", + "elapsed_ms": 3410.82, + "returncode": 1, + "prompt_metrics": { + "chars": 10603, + "bytes_utf8": 10603, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3da311cb085d0d8a8d5629cc2aea7fdaf6c28ad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=m_dep, measure_col=battery_power.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "m_dep", + "measure_col": "battery_power", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3da311cb085d0d8a8d5629cc2aea7fdaf6c28ad6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=m_dep, measure_col=battery_power.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "m_dep", + "measure_col": "battery_power", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f62826ddcb9132576210c1e5ccf3e5fa1823f48 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f26d-7740-8735-b0bafe91f8c1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..685fcd1cc6989b94c2f1aa669b109e9348ae2c8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fe-f26d-7740-8735-b0bafe91f8c1"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9c1f4d317bae6dbd3d9f101e797260866a6514c0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0105-7650-8346-3945ab6c763f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..dfeaadf62fabbc93d992678f4d04a43dce01a993 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ff-0105-7650-8346-3945ab6c763f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_5ea9030a8a2f9691/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4c1ced02e583f2f010011486ca04c51dd6186e63 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10460, "bytes_utf8": 10460, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 399, "bytes_utf8": 399, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15207, "cached_input_tokens": 14720, "output_tokens": 282, "reasoning_output_tokens": 172}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7d2996266f6f785fd4814a51a26472f7ed9b26a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_62114a4c7bf48389", + "api_calls": 0, + "input_tokens": 15207, + "cached_input_tokens": 14720, + "output_tokens": 282, + "total_tokens": 15489, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8534.78, + "sql_execution_elapsed_ms_total": 1.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..5c12880c05ac0bf1f98f376ca3a8cf82de9378a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:48.524122+00:00", + "ended_at": "2026-05-19T16:02:57.058945+00:00", + "elapsed_ms": 8534.78, + "prompt_metrics": { + "chars": 10460, + "bytes_utf8": 10460, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 743, + "bytes_utf8": 743, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 399, + "bytes_utf8": 399, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15207, + "cached_input_tokens": 14720, + "output_tokens": 282, + "reasoning_output_tokens": 172 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9f08a9172db29819777a743165ceb4c4c84ec2c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=battery_power.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "battery_power", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..33b42f9d69604e8397be250e78e3a79f51f9172f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-bb7a-77d2-956e-7c2e34bfe24e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"battery_power\\\" AS REAL) <= 1615.25 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the Threshold Rarity CDF template with measure_col bound to \\\"battery_power\\\" and measure_threshold fixed at 1615.25. CAST to REAL is used because the schema snapshot stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15207,"cached_input_tokens":14720,"output_tokens":282,"reasoning_output_tokens":172}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1426e584b2a5a97b2e7f2786b6a02e0ec3e09a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"battery_power\" AS REAL) <= 1615.25 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Applied the Threshold Rarity CDF template with measure_col bound to \"battery_power\" and measure_threshold fixed at 1615.25. CAST to REAL is used because the schema snapshot stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62114a4c7bf48389/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..39f23683e55697b987c7d4a13dd9828445a60116 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10758, "bytes_utf8": 10758, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10758, "bytes_utf8": 10758, "lines": 351, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 347, "bytes_utf8": 347, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 336, "reasoning_output_tokens": 235}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..80fb4608c90f6294ca4472685ffe835135ef3ec7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_62a6924d02818a09", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 336, + "total_tokens": 15614, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12321.82, + "sql_execution_elapsed_ms_total": 1.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0438f7f578bfe07414d816e9cb1564ac1c33940e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:08.843169+00:00", + "ended_at": "2026-05-19T16:00:11.826082+00:00", + "elapsed_ms": 2982.88, + "returncode": 1, + "prompt_metrics": { + "chars": 10758, + "bytes_utf8": 10758, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8f582ca346a38c1d117d6a73bcf001e241250c61 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:12.828712+00:00", + "ended_at": "2026-05-19T16:00:22.167704+00:00", + "elapsed_ms": 9338.94, + "prompt_metrics": { + "chars": 10758, + "bytes_utf8": 10758, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 694, + "bytes_utf8": 694, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 347, + "bytes_utf8": 347, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 336, + "reasoning_output_tokens": 235 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de1d1396c3ab6b7d4e16d736dd2a82ad62d53100 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sc_h, condition_col=price_range.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sc_h", + "condition_col": "price_range", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..de1d1396c3ab6b7d4e16d736dd2a82ad62d53100 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=sc_h, condition_col=price_range.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "sc_h", + "condition_col": "price_range", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 18, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e7cf74a4ce165ecf88f80b54425659d5d257f5da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4bb7-7dd3-a4da-83e7b6fbe02f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0902acdf713ed7b62c0621a1781149d72d6c316e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-4bb7-7dd3-a4da-83e7b6fbe02f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d464478e787f67a3b6c2044a3493cb692fd6bb11 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-5b20-7e73-9878-60edb95b68ad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"sc_h\\\",\\n AVG(CASE WHEN \\\"price_range\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"sc_h\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Computes the share of rows with price_range = '1' within each sc_h group, following the Grouped Condition Rate template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15278,"cached_input_tokens":12032,"output_tokens":336,"reasoning_output_tokens":235}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c501516a7f6ae25b66f03db6ff234d56a9c7be8e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"sc_h\",\n AVG(CASE WHEN \"price_range\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"sc_h\"\nORDER BY condition_rate DESC;","notes":"Computes the share of rows with price_range = '1' within each sc_h group, following the Grouped Condition Rate template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_62a6924d02818a09/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..38c01077d3e6aeb7f663cb6628f267924211f301 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_67a42a28bbb584d1", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2907, + "total_tokens": 18162, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40439.57, + "sql_execution_elapsed_ms_total": 10.91, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..426bb4152230e7fe7325846ee152a74dce8011de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:12.336944+00:00", + "ended_at": "2026-05-19T15:54:52.776542+00:00", + "elapsed_ms": 40439.57, + "prompt_metrics": { + "chars": 10684, + "bytes_utf8": 10684, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2061, + "bytes_utf8": 2061, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1489, + "bytes_utf8": 1489, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2907, + "reasoning_output_tokens": 2382 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eccb2c9693b92b9c9dce335018cc42ef1631385e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=wifi, measure_col=mobile_wt.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "wifi", + "measure_col": "mobile_wt", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 160.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..172075b141fede6f218709293afd3d70dffa2b93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f1-db08-7760-9d75-97e5671ab003"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"wifi\\\"\\n ORDER BY CAST(\\\"mobile_wt\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"wifi\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"wifi\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n),\\n\\\"bounds\\\" AS (\\n SELECT\\n \\\"wifi\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1.0)) AS \\\"target_rn\\\",\\n CAST(1.0 + 0.9 * (\\\"cnt\\\" - 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1.0)) + 0.999999999 AS INTEGER) AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n GROUP BY \\\"wifi\\\", \\\"cnt\\\"\\n)\\nSELECT\\n b.\\\"wifi\\\",\\n CASE\\n WHEN b.\\\"lower_rn\\\" = b.\\\"upper_rn\\\" THEN\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"mobile_wt\\\" END)\\n ELSE\\n MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"lower_rn\\\" THEN o.\\\"mobile_wt\\\" END) * (b.\\\"upper_rn\\\" - b.\\\"target_rn\\\")\\n + MAX(CASE WHEN o.\\\"rn\\\" = b.\\\"upper_rn\\\" THEN o.\\\"mobile_wt\\\" END) * (b.\\\"target_rn\\\" - b.\\\"lower_rn\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"bounds\\\" AS b\\nJOIN \\\"ordered\\\" AS o\\n ON o.\\\"wifi\\\" = b.\\\"wifi\\\"\\nGROUP BY\\n b.\\\"wifi\\\",\\n b.\\\"target_rn\\\",\\n b.\\\"lower_rn\\\",\\n b.\\\"upper_rn\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite-compatible emulation of PERCENTILE_CONT(0.9) using window ranks and linear interpolation, grouped by \\\"wifi\\\" and casting \\\"mobile_wt\\\" from TEXT to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":2907,"reasoning_output_tokens":2382}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..919b7d2e702b7790f421d1539a8d401bef0b933e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"wifi\",\n CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt\",\n ROW_NUMBER() OVER (\n PARTITION BY \"wifi\"\n ORDER BY CAST(\"mobile_wt\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"wifi\") AS \"cnt\"\n FROM \"m10\"\n WHERE \"wifi\" IS NOT NULL\n AND \"mobile_wt\" IS NOT NULL\n),\n\"bounds\" AS (\n SELECT\n \"wifi\",\n (1.0 + 0.9 * (\"cnt\" - 1.0)) AS \"target_rn\",\n CAST(1.0 + 0.9 * (\"cnt\" - 1.0) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1.0)) + 0.999999999 AS INTEGER) AS \"upper_rn\"\n FROM \"ordered\"\n GROUP BY \"wifi\", \"cnt\"\n)\nSELECT\n b.\"wifi\",\n CASE\n WHEN b.\"lower_rn\" = b.\"upper_rn\" THEN\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"mobile_wt\" END)\n ELSE\n MAX(CASE WHEN o.\"rn\" = b.\"lower_rn\" THEN o.\"mobile_wt\" END) * (b.\"upper_rn\" - b.\"target_rn\")\n + MAX(CASE WHEN o.\"rn\" = b.\"upper_rn\" THEN o.\"mobile_wt\" END) * (b.\"target_rn\" - b.\"lower_rn\")\n END AS \"percentile_measure\"\nFROM \"bounds\" AS b\nJOIN \"ordered\" AS o\n ON o.\"wifi\" = b.\"wifi\"\nGROUP BY\n b.\"wifi\",\n b.\"target_rn\",\n b.\"lower_rn\",\n b.\"upper_rn\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite-compatible emulation of PERCENTILE_CONT(0.9) using window ranks and linear interpolation, grouped by \"wifi\" and casting \"mobile_wt\" from TEXT to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_67a42a28bbb584d1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..667f88d5e8ca43816f4a41ce0629e847d1834139 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10765, "bytes_utf8": 10765, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 358, "bytes_utf8": 358, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 217, "reasoning_output_tokens": 117}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..87233ff827ff7ee28970b337616467128bc3e45b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_68f9d8c7d287b032", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 217, + "total_tokens": 15496, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8806.33, + "sql_execution_elapsed_ms_total": 2.71, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..809697afc59de8c659d63c6cf3755839e8479078 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:20.139628+00:00", + "ended_at": "2026-05-19T16:01:28.946060+00:00", + "elapsed_ms": 8806.33, + "prompt_metrics": { + "chars": 10765, + "bytes_utf8": 10765, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 713, + "bytes_utf8": 713, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 358, + "bytes_utf8": 358, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 217, + "reasoning_output_tokens": 117 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d7c1f268834241d28f963a4b90787d7480bc111 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=touch_screen, condition_col=four_g.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "touch_screen", + "condition_col": "four_g", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..08a4c7928749b44ca0779e4d0e2d013080042199 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-6228-7313-b818-f3ce17d43426"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"touch_screen\\\",\\n AVG(CASE WHEN \\\"four_g\\\" = '1' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Grouped by \\\"touch_screen\\\" and computed the within-group proportion where \\\"four_g\\\" = '1' using the required template.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15279,"cached_input_tokens":12032,"output_tokens":217,"reasoning_output_tokens":117}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..24bf9f463deeac4d64cbeff66d6fcf83d0b5d591 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"touch_screen\",\n AVG(CASE WHEN \"four_g\" = '1' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"touch_screen\"\nORDER BY condition_rate DESC;","notes":"Grouped by \"touch_screen\" and computed the within-group proportion where \"four_g\" = '1' using the required template."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_68f9d8c7d287b032/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..97cd1ece51cb2f3722177396543dbb5ac3ac1dcc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:04:57.341090+00:00", + "ended_at": "2026-05-19T16:05:00.412046+00:00", + "elapsed_ms": 3070.93, + "returncode": 1, + "prompt_metrics": { + "chars": 10495, + "bytes_utf8": 10495, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..39a6e656e979945da2b5e491d9037e0163d0336f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:01.414785+00:00", + "ended_at": "2026-05-19T16:05:04.643460+00:00", + "elapsed_ms": 3228.63, + "returncode": 1, + "prompt_metrics": { + "chars": 10495, + "bytes_utf8": 10495, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e980ef51c4991add62458593e757da5655072de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=four_g.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "four_g", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e980ef51c4991add62458593e757da5655072de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=four_g.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "four_g", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..db283b3a590eff32beee79008a985ea632e35e12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b296-7401-a25d-ee6d3b50db94"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6d51511024f03dcc00f06ad5e806bd5f85edfb56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-b296-7401-a25d-ee6d3b50db94"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9e830a764721cddf57c1cf3a962e6ceeeb9c1958 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c2a0-7610-838f-6f97a5cb5c30"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d39382f1be67371a09474e61b613b91d3a3f1d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-c2a0-7610-838f-6f97a5cb5c30"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6c017a98a547bcc6/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..cbeba0beefceb20e23ce8bbe88b377a341d115c8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11059, "bytes_utf8": 11059, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 616, "bytes_utf8": 616, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15351, "cached_input_tokens": 14720, "output_tokens": 470, "reasoning_output_tokens": 306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6b20fe2adc0d3b1e7c33d9ff277ca79ec80e73d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6d2a3f2904bf7829", + "api_calls": 0, + "input_tokens": 15351, + "cached_input_tokens": 14720, + "output_tokens": 470, + "total_tokens": 15821, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14857.54, + "sql_execution_elapsed_ms_total": 1.89, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3860720e8b601a0f1fda063c942c6e7ef426a33 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:51.299180+00:00", + "ended_at": "2026-05-19T15:46:06.156752+00:00", + "elapsed_ms": 14857.54, + "prompt_metrics": { + "chars": 11059, + "bytes_utf8": 11059, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1320, + "bytes_utf8": 1320, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 616, + "bytes_utf8": 616, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15351, + "cached_input_tokens": 14720, + "output_tokens": 470, + "reasoning_output_tokens": 306 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7721b5e0d5aebe1ac7d7639073ed65f85843aefd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=touch_screen, measure_col=fc.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "touch_screen", + "measure_col": "fc", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d30ce104e93909ae8d2b8115299b9592ef7ff461 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ea-35da-79f0-be72-85d2422df9ac"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999153, Requested 15986. Please try again in 454ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"touch_screen\\\", SUM(CAST(\\\"fc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"touch_screen\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Uses the requested template with group_col=\\\"touch_screen\\\" and measure_col=\\\"fc\\\". CAST(\\\"fc\\\" AS REAL) is used because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15351,"cached_input_tokens":14720,"output_tokens":470,"reasoning_output_tokens":306}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c7b2ec608f0296c3fe874f389258eb3d0465585 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"touch_screen\", SUM(CAST(\"fc\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"touch_screen\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"touch_screen\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Uses the requested template with group_col=\"touch_screen\" and measure_col=\"fc\". CAST(\"fc\" AS REAL) is used because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d2a3f2904bf7829/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..70998bc5d6868e70ddc89b3ae4ebdf8c982c01c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10428, "bytes_utf8": 10428, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 282, "bytes_utf8": 282, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 286, "reasoning_output_tokens": 208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..ff7aab4049fc8d42506339bd0bd00cdcdd98dfb1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6d7e0431c6538e6d", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 286, + "total_tokens": 15476, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8064.73, + "sql_execution_elapsed_ms_total": 0.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9951d8763831b582a17d901630daef652067bcd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:59.367607+00:00", + "ended_at": "2026-05-19T15:32:07.432364+00:00", + "elapsed_ms": 8064.73, + "prompt_metrics": { + "chars": 10428, + "bytes_utf8": 10428, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 640, + "bytes_utf8": 640, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 282, + "bytes_utf8": 282, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 286, + "reasoning_output_tokens": 208 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..98d24c7f3c5c7423a4cff1ec0d82f7d964aadc41 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=touch_screen.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "touch_screen", + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..971ff17483be9c5d73d6ec30516ea7a1a1ae6cf8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dd-83ea-7f73-82a6-7001ab176f85"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"touch_screen\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"touch_screen\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the provided grouped count template on \\\"m10\\\" with group_col bound to \\\"touch_screen\\\".\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15190,"cached_input_tokens":12032,"output_tokens":286,"reasoning_output_tokens":208}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..643100e3796066b53af14ae472a10e266b3b73e4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"touch_screen\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nGROUP BY \"touch_screen\"\nORDER BY \"row_count\" DESC;","notes":"Applied the provided grouped count template on \"m10\" with group_col bound to \"touch_screen\"."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6d7e0431c6538e6d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c6bacd65bc2dca2f2e54472635ea524405ac35a1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10750, "bytes_utf8": 10750, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10750, "bytes_utf8": 10750, "lines": 351, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 405, "bytes_utf8": 405, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15279, "cached_input_tokens": 12032, "output_tokens": 357, "reasoning_output_tokens": 243}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..53f6cd3fddfa622967cf5e9e6263c33f1533c271 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_6e7cf8db5765dfa8", + "api_calls": 0, + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 357, + "total_tokens": 15636, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12457.43, + "sql_execution_elapsed_ms_total": 1.5, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cb5db99fe3e7f01b762735a50068d2f0f49fff2a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:06.672950+00:00", + "ended_at": "2026-05-19T16:01:09.594537+00:00", + "elapsed_ms": 2921.54, + "returncode": 1, + "prompt_metrics": { + "chars": 10750, + "bytes_utf8": 10750, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f1aaf7bb8f1ce46cfc689ea9a4f54a9031a323ee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:10.597567+00:00", + "ended_at": "2026-05-19T16:01:20.133505+00:00", + "elapsed_ms": 9535.89, + "prompt_metrics": { + "chars": 10750, + "bytes_utf8": 10750, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 768, + "bytes_utf8": 768, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 405, + "bytes_utf8": 405, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15279, + "cached_input_tokens": 12032, + "output_tokens": 357, + "reasoning_output_tokens": 243 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b356e329a90d5fbe93ee745bc01a5cceaf5d9021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=three_g, condition_col=dual_sim.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "three_g", + "condition_col": "dual_sim", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b356e329a90d5fbe93ee745bc01a5cceaf5d9021 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=three_g, condition_col=dual_sim.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "three_g", + "condition_col": "dual_sim", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3c7f552c7dd9eb1c0d2570583f5e9d2ccdcee93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-2d9c-7fe0-afdd-5b8959509267"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e20f543a9086e5a7a4f6a4d083684ef178acac7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-2d9c-7fe0-afdd-5b8959509267"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8de58c61dcdfb484794f7b086e52026ea03c3013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-3cf9-7331-8772-cdae9fd2ba30"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"three_g\\\",\\n AVG(CASE WHEN \\\"dual_sim\\\" = '0' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"three_g\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Uses the Grouped Condition Rate template with group_col=\\\"three_g\\\" and condition_col=\\\"dual_sim\\\", measuring the within-group proportion of rows where dual_sim = '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15279,"cached_input_tokens":12032,"output_tokens":357,"reasoning_output_tokens":243}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..fbff90b26263682a6151bfc5266db97174c213a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"three_g\",\n AVG(CASE WHEN \"dual_sim\" = '0' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"three_g\"\nORDER BY \"condition_rate\" DESC;","notes":"Uses the Grouped Condition Rate template with group_col=\"three_g\" and condition_col=\"dual_sim\", measuring the within-group proportion of rows where dual_sim = '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_6e7cf8db5765dfa8/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..175b358283862aba773f039b72f5b4ebf47d7301 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10735, "bytes_utf8": 10735, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 410, "bytes_utf8": 410, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15277, "cached_input_tokens": 12032, "output_tokens": 275, "reasoning_output_tokens": 161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..bedaea8493c456b49b5cfeb581654f5017cf0f96 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_712ba364d491a7c8", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 275, + "total_tokens": 15552, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9166.63, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b3fae9e88e0dc41bb0c7171451797edf9f6596f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:01:38.621023+00:00", + "ended_at": "2026-05-19T16:01:47.787685+00:00", + "elapsed_ms": 9166.63, + "prompt_metrics": { + "chars": 10735, + "bytes_utf8": 10735, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 773, + "bytes_utf8": 773, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 410, + "bytes_utf8": 410, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 275, + "reasoning_output_tokens": 161 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9a527bafcf3f008e862ea1aea22f69021b57b6c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role focused_target_view. Focus on group_col=wifi, condition_col=n_cores.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "wifi", + "condition_col": "n_cores", + "condition_value": "4", + "positive_value": "4", + "negative_value": "7", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ce6ddb7e5fa451744cb8085ae82fe339f3a38cc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-aa3f-7500-bbaf-7daa1e24b9b1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"wifi\\\",\\n AVG(CASE WHEN \\\"n_cores\\\" = '4' THEN 1 ELSE 0 END) AS \\\"condition_rate\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\"\\nORDER BY \\\"condition_rate\\\" DESC;\",\"notes\":\"Applied the Grouped Condition Rate template with group_col=\\\"wifi\\\" and condition_col=\\\"n_cores\\\", using condition_value='4' based on the provided bindings and SQLite TEXT schema.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15277,"cached_input_tokens":12032,"output_tokens":275,"reasoning_output_tokens":161}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e22fef2fad7c8d082a2cd2571219f1234737c54a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"wifi\",\n AVG(CASE WHEN \"n_cores\" = '4' THEN 1 ELSE 0 END) AS \"condition_rate\"\nFROM \"m10\"\nGROUP BY \"wifi\"\nORDER BY \"condition_rate\" DESC;","notes":"Applied the Grouped Condition Rate template with group_col=\"wifi\" and condition_col=\"n_cores\", using condition_value='4' based on the provided bindings and SQLite TEXT schema."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_712ba364d491a7c8/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c424c6996fc9b0fcfd423344b2a564a4b9f1dbe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:46.907053+00:00", + "ended_at": "2026-05-19T15:55:49.905661+00:00", + "elapsed_ms": 2998.57, + "returncode": 1, + "prompt_metrics": { + "chars": 10669, + "bytes_utf8": 10669, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6063f83bb844eca774aeb2c0db6bd6a5d478d248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:55:50.908176+00:00", + "ended_at": "2026-05-19T15:55:55.859836+00:00", + "elapsed_ms": 4951.61, + "returncode": 1, + "prompt_metrics": { + "chars": 10669, + "bytes_utf8": 10669, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..af882d67d73f62c56ba35314c285fafeb8d0ed94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=blue, measure_col=pc.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "blue", + "measure_col": "pc", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..af882d67d73f62c56ba35314c285fafeb8d0ed94 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=blue, measure_col=pc.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "blue", + "measure_col": "pc", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d4300304070d710e183f0299062344c4e8a708da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-4c69-7600-b699-a2dbec3e40e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f4e8673901b3588d22abe1a4dd59807306b9cf5c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-4c69-7600-b699-a2dbec3e40e2"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a686cc86929ec82ed85092c1cef5f43f81114ade --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-5c07-7cc3-83b4-58200b8c3fdd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9beea37f06c428a110e8c25059fc8638892e770 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f3-5c07-7cc3-83b4-58200b8c3fdd"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7536f5810f9974db/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..e2b00d143cfa9110d731b02ea3af467bbe64b059 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10915, "bytes_utf8": 10915, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 600, "bytes_utf8": 600, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 12032, "output_tokens": 589, "reasoning_output_tokens": 419}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4a0ac9077c6a8e6128a235030bfb4ece091d5d1b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_758daf764cc8e7eb", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 589, + "total_tokens": 15922, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12223.73, + "sql_execution_elapsed_ms_total": 2.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8b61981695797ba1720cac91eae6af2c6b21579b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:03.772547+00:00", + "ended_at": "2026-05-19T15:36:15.996301+00:00", + "elapsed_ms": 12223.73, + "prompt_metrics": { + "chars": 10915, + "bytes_utf8": 10915, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 984, + "bytes_utf8": 984, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 600, + "bytes_utf8": 600, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 589, + "reasoning_output_tokens": 419 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5654bf0fd426d898f0118c4c71cc71a40fc90be3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=wifi, measure_col=battery_power.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "wifi", + "measure_col": "battery_power", + "item_col": "fc", + "top_k": 18, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1487.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dac2438fe318294cc246eedcce735a5f0368b8b6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-3eb6-7910-a9c4-700b6177465b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"wifi\\\",\\n \\\"fc\\\",\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) * 100.0\\n / SUM(SUM(CAST(\\\"battery_power\\\" AS REAL))) OVER (PARTITION BY \\\"wifi\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\", \\\"fc\\\"\\nORDER BY share_within_group DESC\\nLIMIT 18;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"wifi\\\", item_col=\\\"fc\\\", and measure_col=\\\"battery_power\\\". CAST to REAL is used because the schema snapshot stores these fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15333,"cached_input_tokens":12032,"output_tokens":589,"reasoning_output_tokens":419}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e27fa5dd50352629a3d410218a588fee46c91c42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"wifi\",\n \"fc\",\n SUM(CAST(\"battery_power\" AS REAL)) AS total_measure,\n SUM(CAST(\"battery_power\" AS REAL)) * 100.0\n / SUM(SUM(CAST(\"battery_power\" AS REAL))) OVER (PARTITION BY \"wifi\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"wifi\", \"fc\"\nORDER BY share_within_group DESC\nLIMIT 18;","notes":"Applied the planned Within-Group Share of Total template with group_col=\"wifi\", item_col=\"fc\", and measure_col=\"battery_power\". CAST to REAL is used because the schema snapshot stores these fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_758daf764cc8e7eb/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..add126cf0382cfb4b79c49df7b464a096ddea859 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:12.070844+00:00", + "ended_at": "2026-05-19T16:05:15.511960+00:00", + "elapsed_ms": 3441.09, + "returncode": 1, + "prompt_metrics": { + "chars": 10493, + "bytes_utf8": 10493, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..0fa0b3a3d4d5440c09d7ffa29c475e899ec806a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:16.514205+00:00", + "ended_at": "2026-05-19T16:05:19.590473+00:00", + "elapsed_ms": 3076.22, + "returncode": 1, + "prompt_metrics": { + "chars": 10493, + "bytes_utf8": 10493, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7b2d6a145a4d405169cad130ce8de1e752993d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=m_dep.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "m_dep", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c7b2d6a145a4d405169cad130ce8de1e752993d1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=m_dep.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "m_dep", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..be44689aa5d30af2fc980cbf7c79df6c6fa98c78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ec00-7a80-810f-ba8e2f98110d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c3b174ae92d05ad51b159838b71a9dd9b954197 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-ec00-7a80-810f-ba8e2f98110d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7c644346ef4a9554369e196c305fa0239bb22e83 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-fd6d-7931-9c7e-ed3133f4f8db"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1ed6b7de1c726c732b9402de0f73af5e95507fe6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fb-fd6d-7931-9c7e-ed3133f4f8db"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75d99c94f7efc8aa/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fea5a054332336c90ac87ae0956a8b221edc0d53 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11054, "bytes_utf8": 11054, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 630, "bytes_utf8": 630, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15352, "cached_input_tokens": 14720, "output_tokens": 501, "reasoning_output_tokens": 333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..28565fd373d26ff32fedcd2c8e35517c1338983c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_75e5cde690c51d76", + "api_calls": 0, + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 501, + "total_tokens": 15853, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10941.94, + "sql_execution_elapsed_ms_total": 1.96, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..179bd58462088a169a8f5a716fe7c3cbd49744b5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:48:20.216511+00:00", + "ended_at": "2026-05-19T15:48:31.158479+00:00", + "elapsed_ms": 10941.94, + "prompt_metrics": { + "chars": 11054, + "bytes_utf8": 11054, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1001, + "bytes_utf8": 1001, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 630, + "bytes_utf8": 630, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15352, + "cached_input_tokens": 14720, + "output_tokens": 501, + "reasoning_output_tokens": 333 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e539d4b65929aed91f845d16271d7a3af172aed6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=fc, measure_col=px_width.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "fc", + "measure_col": "px_width", + "top_k": 13, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7b56bbf77ac5c2aed879c38f0bba6ef00435d040 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ec-7b90-71a1-9fce-93a6d5251572"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"fc\\\" AS \\\"fc\\\", SUM(CAST(\\\"px_width\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"fc\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"fc\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the required Relative-to-Total Extreme Threshold template with group_col=\\\"fc\\\" and measure_col=\\\"px_width\\\". CAST to REAL is included because the schema snapshot stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15352,"cached_input_tokens":14720,"output_tokens":501,"reasoning_output_tokens":333}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4417d422f14bddae54dd551e4b37b567d2fd1630 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"fc\" AS \"fc\", SUM(CAST(\"px_width\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"fc\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"fc\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the required Relative-to-Total Extreme Threshold template with group_col=\"fc\" and measure_col=\"px_width\". CAST to REAL is included because the schema snapshot stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_75e5cde690c51d76/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..070276e442ebd6936a255f38a12c6de3e529887b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10799, "bytes_utf8": 10799, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 419, "bytes_utf8": 419, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15309, "cached_input_tokens": 14720, "output_tokens": 482, "reasoning_output_tokens": 361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d2c71e1d71c64c823f01a7491ebb59259f9629da --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7b5fd64bf22ac097", + "api_calls": 0, + "input_tokens": 15309, + "cached_input_tokens": 14720, + "output_tokens": 482, + "total_tokens": 15791, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19143.73, + "sql_execution_elapsed_ms_total": 2.1, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..30dfcddcb9b5fcfd9820d37071a9f8e92522e0c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:42.430003+00:00", + "ended_at": "2026-05-19T15:42:01.573775+00:00", + "elapsed_ms": 19143.73, + "prompt_metrics": { + "chars": 10799, + "bytes_utf8": 10799, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1460, + "bytes_utf8": 1460, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 419, + "bytes_utf8": 419, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15309, + "cached_input_tokens": 14720, + "output_tokens": 482, + "reasoning_output_tokens": 361 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..512e4c88f7d8ac96aa94257a73bdc35d71ec7d3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=pc.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "four_g", + "group_col_2": "pc", + "predicate_col": "pc", + "predicate_op": ">=", + "predicate_value": 15.0, + "top_k": 12, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7ac2886e2d797a064537db234b12ac9a06bbef8f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40e6-6991-7783-adc6-0c855a1571a5"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1991614, Requested 15944. Please try again in 226ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15944. Please try again in 478ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"pc\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"pc\\\" AS REAL) >= 15.0\\nGROUP BY \\\"four_g\\\", \\\"pc\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Applied the filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"pc\\\", and a numeric filter on \\\"pc\\\" using CAST because the schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15309,"cached_input_tokens":14720,"output_tokens":482,"reasoning_output_tokens":361}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8c401e57ece1e5923a0774cfab915935fab2e950 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"pc\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"pc\" AS REAL) >= 15.0\nGROUP BY \"four_g\", \"pc\"\nORDER BY \"row_count\" DESC;","notes":"Applied the filtered two-dimensional group count template with group_col=\"four_g\", group_col_2=\"pc\", and a numeric filter on \"pc\" using CAST because the schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7b5fd64bf22ac097/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0773a5e9938e78c35afcd77f69e9847e5d85b00e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10439, "bytes_utf8": 10439, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10439, "bytes_utf8": 10439, "lines": 346, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 354, "bytes_utf8": 354, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15205, "cached_input_tokens": 12288, "output_tokens": 252, "reasoning_output_tokens": 150}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..3a6432369b39820b4fe877bc3e2ca20f4903f5c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7bf5ca21e297634f", + "api_calls": 0, + "input_tokens": 15205, + "cached_input_tokens": 12288, + "output_tokens": 252, + "total_tokens": 15457, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10690.99, + "sql_execution_elapsed_ms_total": 0.64, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d9ac2fd5ccf11c34a72b098b427f7f6d851e3967 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:13.158280+00:00", + "ended_at": "2026-05-19T16:03:16.476258+00:00", + "elapsed_ms": 3317.96, + "returncode": 1, + "prompt_metrics": { + "chars": 10439, + "bytes_utf8": 10439, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..759bc0e6cb8f6241a553325731eb5c8bcb0a06be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:17.478173+00:00", + "ended_at": "2026-05-19T16:03:24.851231+00:00", + "elapsed_ms": 7373.03, + "prompt_metrics": { + "chars": 10439, + "bytes_utf8": 10439, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 698, + "bytes_utf8": 698, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 354, + "bytes_utf8": 354, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15205, + "cached_input_tokens": 12288, + "output_tokens": 252, + "reasoning_output_tokens": 150 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..899ae4d73473aa611b579f45e56eb68f775c7ced --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=m_dep.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "m_dep", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..899ae4d73473aa611b579f45e56eb68f775c7ced --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=m_dep.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "m_dep", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..08c731ff21ba7c09af154aa9a52609916d90b972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-1ba0-75c0-a4a4-38d1a1df535d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c4d1cb6e9f444ac031218e4afe9251e416c49fc8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-1ba0-75c0-a4a4-38d1a1df535d"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1f13d920546b15b6c4480db38468592d8c6b8781 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-2c89-71f1-9c03-963f9432915f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"m_dep\\\" AS REAL) <= 0.8 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the provided Threshold Rarity CDF template with measure_col=\\\"m_dep\\\" and measure_threshold=0.8, casting from TEXT to REAL for correct numeric comparison in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15205,"cached_input_tokens":12288,"output_tokens":252,"reasoning_output_tokens":150}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c49c9b8db12e71ddc46386ee3c9126c679d9630b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"m_dep\" AS REAL) <= 0.8 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Applied the provided Threshold Rarity CDF template with measure_col=\"m_dep\" and measure_threshold=0.8, casting from TEXT to REAL for correct numeric comparison in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7bf5ca21e297634f/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..44f36a292cb9ccbc05bc1b4f5e6d7fdec8022df3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10698, "bytes_utf8": 10698, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1035, "bytes_utf8": 1035, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 3247, "reasoning_output_tokens": 2942}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8fbc05e5244e6afdfa211f90d0dd58c8acab14f7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7c5aab03ff7eb7f1", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 3247, + "total_tokens": 18502, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 52548.37, + "sql_execution_elapsed_ms_total": 10.03, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4a1484a110025dd89b18d59a36473052cc3bcd46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:51:15.653104+00:00", + "ended_at": "2026-05-19T15:52:08.201509+00:00", + "elapsed_ms": 52548.37, + "prompt_metrics": { + "chars": 10698, + "bytes_utf8": 10698, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1835, + "bytes_utf8": 1835, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1035, + "bytes_utf8": 1035, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 3247, + "reasoning_output_tokens": 2942 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3c26be75587462ba7e642fef8e7f85fe08662d78 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=talk_time, measure_col=clock_speed.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "talk_time", + "measure_col": "clock_speed", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cee51d2944bab6b186ea35c61288c410c828d976 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40ef-28d2-7060-a577-a78cf02fb817"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984815, Requested 15890. Please try again in 21ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point.\\nWITH \\\"base\\\" AS (\\n SELECT\\n CAST(\\\"talk_time\\\" AS INTEGER) AS \\\"talk_time\\\",\\n CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"talk_time\\\" IS NOT NULL\\n AND \\\"clock_speed\\\" IS NOT NULL\\n),\\n\\\"ranked\\\" AS (\\n SELECT\\n \\\"talk_time\\\",\\n \\\"clock_speed\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"talk_time\\\"\\n ORDER BY \\\"clock_speed\\\"\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"talk_time\\\"\\n ) AS \\\"group_size\\\"\\n FROM \\\"base\\\"\\n)\\nSELECT\\n \\\"talk_time\\\",\\n \\\"clock_speed\\\" AS \\\"percentile_measure\\\"\\nFROM \\\"ranked\\\"\\nWHERE \\\"group_size\\\" >= 5\\n AND \\\"rn\\\" = CAST((95 * \\\"group_size\\\" + 99) / 100 AS INTEGER)\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"talk_time\\\" ASC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile for \\\"clock_speed\\\" within each \\\"talk_time\\\" group, casting the TEXT-typed numeric columns and keeping only groups with at least 5 rows.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":3247,"reasoning_output_tokens":2942}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2a3bad764c956262d30049c47436aed26e8f1b7d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point.\nWITH \"base\" AS (\n SELECT\n CAST(\"talk_time\" AS INTEGER) AS \"talk_time\",\n CAST(\"clock_speed\" AS REAL) AS \"clock_speed\"\n FROM \"m10\"\n WHERE \"talk_time\" IS NOT NULL\n AND \"clock_speed\" IS NOT NULL\n),\n\"ranked\" AS (\n SELECT\n \"talk_time\",\n \"clock_speed\",\n ROW_NUMBER() OVER (\n PARTITION BY \"talk_time\"\n ORDER BY \"clock_speed\"\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"talk_time\"\n ) AS \"group_size\"\n FROM \"base\"\n)\nSELECT\n \"talk_time\",\n \"clock_speed\" AS \"percentile_measure\"\nFROM \"ranked\"\nWHERE \"group_size\" >= 5\n AND \"rn\" = CAST((95 * \"group_size\" + 99) / 100 AS INTEGER)\nORDER BY \"percentile_measure\" DESC, \"talk_time\" ASC;","notes":"SQLite does not support PERCENTILE_CONT, so this uses a nearest-rank 95th percentile for \"clock_speed\" within each \"talk_time\" group, casting the TEXT-typed numeric columns and keeping only groups with at least 5 rows."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7c5aab03ff7eb7f1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..646cdf6d6766b065d9b22968a9cd7509afe442be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10935, "bytes_utf8": 10935, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 627, "bytes_utf8": 627, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15336, "cached_input_tokens": 12032, "output_tokens": 634, "reasoning_output_tokens": 466}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..78de08bd4359d200758439355e7a50f49da84963 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7d386cc2d66ebe92", + "api_calls": 0, + "input_tokens": 15336, + "cached_input_tokens": 12032, + "output_tokens": 634, + "total_tokens": 15970, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 15441.18, + "sql_execution_elapsed_ms_total": 5.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..4d0a2c3537f7b02122e2e7b7824136f4ab4595ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:28.984006+00:00", + "ended_at": "2026-05-19T15:36:44.425230+00:00", + "elapsed_ms": 15441.18, + "prompt_metrics": { + "chars": 10935, + "bytes_utf8": 10935, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1011, + "bytes_utf8": 1011, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 627, + "bytes_utf8": 627, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15336, + "cached_input_tokens": 12032, + "output_tokens": 634, + "reasoning_output_tokens": 466 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0345e82998e4b7cf741d2a47669508a327287d16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=price_range, measure_col=clock_speed.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "price_range", + "measure_col": "clock_speed", + "item_col": "int_memory", + "top_k": 19, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ead53f88629252e343c2cbecfd1fa8c3ea1b0a79 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-a142-7f80-a5df-89ca9fe94358"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"price_range\\\", \\\"int_memory\\\",\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"clock_speed\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"clock_speed\\\" AS REAL))) OVER (PARTITION BY \\\"price_range\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\", \\\"int_memory\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the provided Within-Group Share of Total template with group_col=\\\"price_range\\\", item_col=\\\"int_memory\\\", and measure_col=\\\"clock_speed\\\". Cast \\\"clock_speed\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15336,"cached_input_tokens":12032,"output_tokens":634,"reasoning_output_tokens":466}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f1fc78f25ca6aa8d2652def87144a82acbc427f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"price_range\", \"int_memory\",\n SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure,\n SUM(CAST(\"clock_speed\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"clock_speed\" AS REAL))) OVER (PARTITION BY \"price_range\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"price_range\", \"int_memory\"\nORDER BY share_within_group DESC;","notes":"Used the provided Within-Group Share of Total template with group_col=\"price_range\", item_col=\"int_memory\", and measure_col=\"clock_speed\". Cast \"clock_speed\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d386cc2d66ebe92/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0076b23a113e1dbe3f9fa8be0623591abe96199f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11062, "bytes_utf8": 11062, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 659, "bytes_utf8": 659, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 12032, "output_tokens": 629, "reasoning_output_tokens": 456}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e57cfc53306df2c7c54a369091956c02036ff59 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_7d97f842c09e142a", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 12032, + "output_tokens": 629, + "total_tokens": 15982, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13094.46, + "sql_execution_elapsed_ms_total": 1.23, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..17925c7d626856bc5296bcaa541667b5c5576504 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:06.164384+00:00", + "ended_at": "2026-05-19T15:46:19.258874+00:00", + "elapsed_ms": 13094.46, + "prompt_metrics": { + "chars": 11062, + "bytes_utf8": 11062, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1034, + "bytes_utf8": 1034, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15353, + "cached_input_tokens": 12032, + "output_tokens": 629, + "reasoning_output_tokens": 456 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f6a74df86192e445587d72914f8b9736d0c82470 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=touch_screen, measure_col=fc.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "touch_screen", + "measure_col": "fc", + "top_k": 17, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..dda4561516da1b8932a2644a1a0e16b89d9460be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ea-6fde-7040-8e58-28845ec0339b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"touch_screen\\\" AS \\\"touch_screen\\\", SUM(CAST(\\\"fc\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"touch_screen\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\\\"touch_screen\\\" and measure_col=\\\"fc\\\". CAST(\\\"fc\\\" AS REAL) is used because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15353,"cached_input_tokens":12032,"output_tokens":629,"reasoning_output_tokens":456}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d8be11b655746c9eb0f287857535d29106d1a1a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"touch_screen\" AS \"touch_screen\", SUM(CAST(\"fc\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"touch_screen\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"touch_screen\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Applied the provided Relative-to-Total Extreme Threshold template with group_col=\"touch_screen\" and measure_col=\"fc\". CAST(\"fc\" AS REAL) is used because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_7d97f842c09e142a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5f769b4a01fdf71bc83b52a9d76f0bab94e1f58f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10501, "bytes_utf8": 10501, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 14720, "output_tokens": 371, "reasoning_output_tokens": 272}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..89f03e6ede19c9fcb3dcdecc93bb5772623d83ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_80e1f60de1210247", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 371, + "total_tokens": 15586, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10041.81, + "sql_execution_elapsed_ms_total": 2.35, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b27b679761833640c7ff9370b778cc77ab025688 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:04.025916+00:00", + "ended_at": "2026-05-19T15:31:14.067748+00:00", + "elapsed_ms": 10041.81, + "prompt_metrics": { + "chars": 10501, + "bytes_utf8": 10501, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 727, + "bytes_utf8": 727, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 369, + "bytes_utf8": 369, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 371, + "reasoning_output_tokens": 272 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d1295fd3785a96356cb467e596e46fa3b681a55 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pc, measure_col=px_height.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "pc", + "measure_col": "px_height", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6acc2bea66fb122d7cd784f1aef4d58bd9532989 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40dc-abcc-77c2-a440-f62503f5d3af"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pc\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the requested grouped numeric sum template with group_col=\\\"pc\\\" and measure_col=\\\"px_height\\\". \\\"px_height\\\" is cast to REAL because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15215,"cached_input_tokens":14720,"output_tokens":371,"reasoning_output_tokens":272}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..58090b2efe7ca6f8f560fde9cc908dda7933bc7e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"pc\", SUM(CAST(\"px_height\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY total_measure DESC;","notes":"Uses the requested grouped numeric sum template with group_col=\"pc\" and measure_col=\"px_height\". \"px_height\" is cast to REAL because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80e1f60de1210247/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c65e48bb8837bb86e2b5dda528266e1151291c8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10504, "bytes_utf8": 10504, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 14720, "output_tokens": 385, "reasoning_output_tokens": 286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cacc5925f15961a217824789d151d8ca8401d0af --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_80f1bbeb89df70b2", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 385, + "total_tokens": 15600, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16834.41, + "sql_execution_elapsed_ms_total": 1.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a8c2e8f7ed2c79a8b853f01f54e1b9aee7e18dc4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:31:14.074142+00:00", + "ended_at": "2026-05-19T15:31:30.908573+00:00", + "elapsed_ms": 16834.41, + "prompt_metrics": { + "chars": 10504, + "bytes_utf8": 10504, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1392, + "bytes_utf8": 1392, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 373, + "bytes_utf8": 373, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15215, + "cached_input_tokens": 14720, + "output_tokens": 385, + "reasoning_output_tokens": 286 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..827b50cf054ff1e52fa7599e9a6714c38a74bb0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=pc, measure_col=px_height.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "pc", + "measure_col": "px_height", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d3717e607dd64b8d7558093eb3de35bcd94349bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dc-d30d-72c3-b877-3a68da6f3b4c"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987352, Requested 15850. Please try again in 96ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15850. Please try again in 475ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"pc\\\", SUM(CAST(\\\"px_height\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required Grouped Numeric Sum template with group_col=\\\"pc\\\" and measure_col=\\\"px_height\\\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15215,"cached_input_tokens":14720,"output_tokens":385,"reasoning_output_tokens":286}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ae12ec0db20277198c123a14833ed29c504c0c75 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"pc\", SUM(CAST(\"px_height\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY total_measure DESC;","notes":"Used the required Grouped Numeric Sum template with group_col=\"pc\" and measure_col=\"px_height\". CAST to REAL is included because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_80f1bbeb89df70b2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..53f91d02498b5bd3731684db274981311aff5d4d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10694, "bytes_utf8": 10694, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1863, "bytes_utf8": 1863, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 1122, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..72a784636e1f3619536ed746a536017141469e0e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_817b99077e97f88d", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1122, + "total_tokens": 16377, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 18968.55, + "sql_execution_elapsed_ms_total": 6.22, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..52c4f59418a9788ad10ac2a8fc3cc611bcccd490 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:59.790400+00:00", + "ended_at": "2026-05-19T15:50:18.758980+00:00", + "elapsed_ms": 18968.55, + "prompt_metrics": { + "chars": 10694, + "bytes_utf8": 10694, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2468, + "bytes_utf8": 2468, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1863, + "bytes_utf8": 1863, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 1122, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..922abe9cc957eac3ecdf6f49a946bb2615ae13c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=sc_w, measure_col=battery_power.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "sc_w", + "measure_col": "battery_power", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5c9778f5587e683bcfefb6cae45b7f78fc73696e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-0081-7180-a067-66129b0c3c82"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n CAST(\\\"battery_power\\\" AS REAL) AS \\\"battery_power_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sc_w\\\"\\n ORDER BY CAST(\\\"battery_power\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (PARTITION BY \\\"sc_w\\\") AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n),\\n\\\"positions\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n \\\"battery_power_value\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n (1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CASE\\n WHEN (1.0 + 0.95 * (\\\"cnt\\\" - 1)) = CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n THEN CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER)\\n ELSE CAST((1.0 + 0.95 * (\\\"cnt\\\" - 1)) AS INTEGER) + 1\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n),\\n\\\"percentiles\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"lower_rn\\\" THEN \\\"battery_power_value\\\" END) AS \\\"lower_val\\\",\\n MAX(CASE WHEN \\\"rn\\\" = \\\"upper_rn\\\" THEN \\\"battery_power_value\\\" END) AS \\\"upper_val\\\",\\n MAX(\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"lower_rn\\\") AS \\\"lower_rn\\\",\\n MAX(\\\"cnt\\\") AS \\\"cnt\\\"\\n FROM \\\"positions\\\"\\n GROUP BY \\\"sc_w\\\"\\n)\\nSELECT\\n \\\"sc_w\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"pos\\\" THEN \\\"lower_val\\\"\\n ELSE \\\"lower_val\\\" + (\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_val\\\" - \\\"lower_val\\\")\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"percentiles\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 95th percentile of \\\"battery_power\\\" within each \\\"sc_w\\\" group using window functions and linear interpolation. Numeric fields are CAST to REAL because the schema stores them as TEXT, and groups with fewer than 5 rows are excluded using the provided minimum group size.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":1122,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..38b5f4141a24bf3dc90d8ae5567d3645c1fe1764 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"sc_w\",\n CAST(\"battery_power\" AS REAL) AS \"battery_power_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sc_w\"\n ORDER BY CAST(\"battery_power\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (PARTITION BY \"sc_w\") AS \"cnt\"\n FROM \"m10\"\n),\n\"positions\" AS (\n SELECT\n \"sc_w\",\n \"battery_power_value\",\n \"rn\",\n \"cnt\",\n (1.0 + 0.95 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CASE\n WHEN (1.0 + 0.95 * (\"cnt\" - 1)) = CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n THEN CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER)\n ELSE CAST((1.0 + 0.95 * (\"cnt\" - 1)) AS INTEGER) + 1\n END AS \"upper_rn\"\n FROM \"ranked\"\n),\n\"percentiles\" AS (\n SELECT\n \"sc_w\",\n MAX(CASE WHEN \"rn\" = \"lower_rn\" THEN \"battery_power_value\" END) AS \"lower_val\",\n MAX(CASE WHEN \"rn\" = \"upper_rn\" THEN \"battery_power_value\" END) AS \"upper_val\",\n MAX(\"pos\") AS \"pos\",\n MAX(\"lower_rn\") AS \"lower_rn\",\n MAX(\"cnt\") AS \"cnt\"\n FROM \"positions\"\n GROUP BY \"sc_w\"\n)\nSELECT\n \"sc_w\",\n CASE\n WHEN \"lower_rn\" = \"pos\" THEN \"lower_val\"\n ELSE \"lower_val\" + (\"pos\" - \"lower_rn\") * (\"upper_val\" - \"lower_val\")\n END AS \"percentile_measure\"\nFROM \"percentiles\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this query emulates the continuous 95th percentile of \"battery_power\" within each \"sc_w\" group using window functions and linear interpolation. Numeric fields are CAST to REAL because the schema stores them as TEXT, and groups with fewer than 5 rows are excluded using the provided minimum group size."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_817b99077e97f88d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f94673c7cc7c93a4878d5dff1a565660194a9713 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:57.636390+00:00", + "ended_at": "2026-05-19T16:07:00.655429+00:00", + "elapsed_ms": 3019.02, + "returncode": 1, + "prompt_metrics": { + "chars": 10575, + "bytes_utf8": 10575, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f3c11b7aa164ecf7579b4fff4ca0a9c04ea53041 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:07:01.657109+00:00", + "ended_at": "2026-05-19T16:07:04.684961+00:00", + "elapsed_ms": 3027.82, + "returncode": 1, + "prompt_metrics": { + "chars": 10575, + "bytes_utf8": 10575, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5cf79ac7bb492ab86c7dc84dc441e8653da082b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=ram.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "blue", + "measure_col": "ram", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d5cf79ac7bb492ab86c7dc84dc441e8653da082b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=blue, measure_col=ram.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "blue", + "measure_col": "ram", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e9d027a1a292fa4370382e5a2df3240d8deecbf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-886a-73b3-93d7-536bcc16d643"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..823f483bacf24d4180baa32cb85234ae8b99a972 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-886a-73b3-93d7-536bcc16d643"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e8cd0c70c1a0802a26cfbfeb93b426de28d7a70a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-980d-7612-8218-a2580dea57f7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..102674f873aa762fcf92383e1f53b06815aed883 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-980d-7612-8218-a2580dea57f7"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_849739974e3ca588/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7fe64506e980c0cbbbb087bca5e60ca866b97f17 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:50.589653+00:00", + "ended_at": "2026-05-19T16:06:53.415621+00:00", + "elapsed_ms": 2825.94, + "returncode": 1, + "prompt_metrics": { + "chars": 10603, + "bytes_utf8": 10603, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..28d41eb64109d04ac3bd4a415f1c9fa59e4c6a62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:54.417688+00:00", + "ended_at": "2026-05-19T16:06:57.633780+00:00", + "elapsed_ms": 3216.06, + "returncode": 1, + "prompt_metrics": { + "chars": 10603, + "bytes_utf8": 10603, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..530f5bdc7dccf5af07f5dc99f034033774b69d6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=price_range, measure_col=px_width.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "price_range", + "measure_col": "px_width", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1477.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..530f5bdc7dccf5af07f5dc99f034033774b69d6d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role ranked_signal_view. Focus on group_col=price_range, measure_col=px_width.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "price_range", + "measure_col": "px_width", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1477.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c48e6654b7e85200f1688e2f755aaf2ae02c05ef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6ced-76d2-92d9-3e4cd91670ad"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c1fd25507104cf950e70f738288bc002f3081e49 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-6ced-76d2-92d9-3e4cd91670ad"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..116e526a86d8e7d9d08d3e81e8ff76c607fe972b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-7bd9-76e3-b713-f6435ed98d69"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..c13e4181b45ce0c3b77ce7ea3380dfa33fe66411 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-7bd9-76e3-b713-f6435ed98d69"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_84a1af28fc4d7e34/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..475d7141c0a268a2fcbf52a8026304ed4e847f68 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11298, "bytes_utf8": 11298, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 752, "bytes_utf8": 752, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15422, "cached_input_tokens": 14720, "output_tokens": 629, "reasoning_output_tokens": 424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..407ad20536d77f3a17e3aa49c3b729fd3a698803 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_876e151f22df45f7", + "api_calls": 0, + "input_tokens": 15422, + "cached_input_tokens": 14720, + "output_tokens": 629, + "total_tokens": 16051, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16095.17, + "sql_execution_elapsed_ms_total": 1.11, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b590dcf57df23fffba17e784cfd12bc59b630399 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:24.481489+00:00", + "ended_at": "2026-05-19T15:40:40.576696+00:00", + "elapsed_ms": 16095.17, + "prompt_metrics": { + "chars": 11298, + "bytes_utf8": 11298, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1121, + "bytes_utf8": 1121, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 752, + "bytes_utf8": 752, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15422, + "cached_input_tokens": 14720, + "output_tokens": 629, + "reasoning_output_tokens": 424 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..65ed714134fc1d97388586ffaf6ec008ae966a9a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=wifi, condition_col=wifi.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "wifi", + "condition_col": "wifi", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d48282a3ef8ae51dd2ac681cbb0394aa5cdae170 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-3928-77c2-ac12-4b279118d2ba"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"wifi\\\",\\n SUM(CASE WHEN \\\"wifi\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"wifi\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"wifi\\\"\\n)\\nSELECT \\\"wifi\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the requested template exactly with group_col=\\\"wifi\\\" and condition_col=\\\"wifi\\\". Since the grouping column and condition column are identical, the group where wifi='1' has no wifi='0' rows in-group, so its ratio becomes NULL via NULLIF; the wifi='0' group evaluates to 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15422,"cached_input_tokens":14720,"output_tokens":629,"reasoning_output_tokens":424}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a946e168c8b68f761787d3f67ec9de7ff073c36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"wifi\",\n SUM(CASE WHEN \"wifi\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"wifi\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"wifi\"\n)\nSELECT \"wifi\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the requested template exactly with group_col=\"wifi\" and condition_col=\"wifi\". Since the grouping column and condition column are identical, the group where wifi='1' has no wifi='0' rows in-group, so its ratio becomes NULL via NULLIF; the wifi='0' group evaluates to 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_876e151f22df45f7/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d725f0276a9d0d36819e995ef9956dc23957de12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10493, "bytes_utf8": 10493, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 296, "bytes_utf8": 296, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15227, "cached_input_tokens": 14720, "output_tokens": 225, "reasoning_output_tokens": 138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..d173e5e4dc61f9922a2700bff4521b3799e74060 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_88fded844ed28e4f", + "api_calls": 0, + "input_tokens": 15227, + "cached_input_tokens": 14720, + "output_tokens": 225, + "total_tokens": 15452, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9054.16, + "sql_execution_elapsed_ms_total": 1.77, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..7109e4bdb7f76a363f6e7b89b19ab1ac312cdcc7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:32.697406+00:00", + "ended_at": "2026-05-19T16:03:41.751608+00:00", + "elapsed_ms": 9054.16, + "prompt_metrics": { + "chars": 10493, + "bytes_utf8": 10493, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 649, + "bytes_utf8": 649, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 296, + "bytes_utf8": 296, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15227, + "cached_input_tokens": 14720, + "output_tokens": 225, + "reasoning_output_tokens": 138 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..93b783ee231666d97df652fee5506e4e38e92926 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_set_consistency with semantic role rare_extreme_view. Focus on group_col=blue.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "blue", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ddeba44a3efd1c2d1c0b54840a009b467945bbee --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-67ce-7151-ba7a-674f828ebb3a"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"blue\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY support ASC, \\\"blue\\\"\\nLIMIT 10;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"blue\\\" and top_k=10.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15227,"cached_input_tokens":14720,"output_tokens":225,"reasoning_output_tokens":138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..dc2b54dca7638dce2cb1e4c8cbf770ace6dcdc1e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"blue\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY support ASC, \"blue\"\nLIMIT 10;","notes":"Applied the provided Low-Support Group Count template with group_col bound to \"blue\" and top_k=10."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_88fded844ed28e4f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b80348cdcf5bb5f8a5fb0d94932e9b2f51d164b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10690, "bytes_utf8": 10690, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1918, "bytes_utf8": 1918, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15256, "cached_input_tokens": 12032, "output_tokens": 2594, "reasoning_output_tokens": 1952}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..129324e6e0aa00c44342daa47aa50a9fde541fba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_8924c38b3640c2ac", + "api_calls": 0, + "input_tokens": 15256, + "cached_input_tokens": 12032, + "output_tokens": 2594, + "total_tokens": 17850, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 36399.64, + "sql_execution_elapsed_ms_total": 11.87, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..71d3893d14e2c13d3981030f2224f1fbd4b983bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:54:52.794101+00:00", + "ended_at": "2026-05-19T15:55:29.193771+00:00", + "elapsed_ms": 36399.64, + "prompt_metrics": { + "chars": 10690, + "bytes_utf8": 10690, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2544, + "bytes_utf8": 2544, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1918, + "bytes_utf8": 1918, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15256, + "cached_input_tokens": 12032, + "output_tokens": 2594, + "reasoning_output_tokens": 1952 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..809c2b00cfd1c81f3f6abfa872a36bd986625da9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=price_range, measure_col=n_cores.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "price_range", + "measure_col": "n_cores", + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b5fa70224e0c3f9bd9623e67f22fcea54f704e2b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f2-7909-73c3-b005-0627c9ce4d0e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ordered\\\" AS (\\n SELECT\\n \\\"price_range\\\",\\n CAST(\\\"n_cores\\\" AS REAL) AS \\\"measure_value\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"price_range\\\"\\n ORDER BY CAST(\\\"n_cores\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"price_range\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"price_range\\\" IS NOT NULL\\n AND \\\"n_cores\\\" IS NOT NULL\\n AND TRIM(\\\"price_range\\\") <> ''\\n AND TRIM(\\\"n_cores\\\") <> ''\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"price_range\\\",\\n (1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS \\\"pos\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) + CASE\\n WHEN (1.0 + 0.9 * (\\\"cnt\\\" - 1)) > CAST((1.0 + 0.9 * (\\\"cnt\\\" - 1)) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ordered\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n o.\\\"price_range\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"lower_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"lower_value\\\",\\n MAX(CASE WHEN o.\\\"rn\\\" = p.\\\"upper_rn\\\" THEN o.\\\"measure_value\\\" END) AS \\\"upper_value\\\"\\n FROM \\\"ordered\\\" AS o\\n JOIN \\\"positions\\\" AS p\\n ON o.\\\"price_range\\\" = p.\\\"price_range\\\"\\n GROUP BY\\n o.\\\"price_range\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"price_range\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_value\\\"\\n ELSE \\\"lower_value\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_value\\\" - \\\"lower_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"Implements the grouped 90th percentile point for \\\"n_cores\\\" by \\\"price_range\\\" in SQLite by emulating PERCENTILE_CONT(0.9) with window functions and interpolation, while casting the TEXT-stored measure to REAL.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15256,"cached_input_tokens":12032,"output_tokens":2594,"reasoning_output_tokens":1952}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0778e0da0ad8b3d81765443c856e6d3106355e82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ordered\" AS (\n SELECT\n \"price_range\",\n CAST(\"n_cores\" AS REAL) AS \"measure_value\",\n ROW_NUMBER() OVER (\n PARTITION BY \"price_range\"\n ORDER BY CAST(\"n_cores\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"price_range\"\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"price_range\" IS NOT NULL\n AND \"n_cores\" IS NOT NULL\n AND TRIM(\"price_range\") <> ''\n AND TRIM(\"n_cores\") <> ''\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"price_range\",\n (1.0 + 0.9 * (\"cnt\" - 1)) AS \"pos\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) AS \"lower_rn\",\n CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) + CASE\n WHEN (1.0 + 0.9 * (\"cnt\" - 1)) > CAST((1.0 + 0.9 * (\"cnt\" - 1)) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ordered\"\n WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n o.\"price_range\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n MAX(CASE WHEN o.\"rn\" = p.\"lower_rn\" THEN o.\"measure_value\" END) AS \"lower_value\",\n MAX(CASE WHEN o.\"rn\" = p.\"upper_rn\" THEN o.\"measure_value\" END) AS \"upper_value\"\n FROM \"ordered\" AS o\n JOIN \"positions\" AS p\n ON o.\"price_range\" = p.\"price_range\"\n GROUP BY\n o.\"price_range\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\"\n)\nSELECT\n \"price_range\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_value\"\n ELSE \"lower_value\" + ((\"pos\" - \"lower_rn\") * (\"upper_value\" - \"lower_value\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"Implements the grouped 90th percentile point for \"n_cores\" by \"price_range\" in SQLite by emulating PERCENTILE_CONT(0.9) with window functions and interpolation, while casting the TEXT-stored measure to REAL."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_8924c38b3640c2ac/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0376fb37d57c701464626e98fb0fc14fbd80313d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10684, "bytes_utf8": 10684, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 506, "bytes_utf8": 506, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15272, "cached_input_tokens": 14720, "output_tokens": 447, "reasoning_output_tokens": 298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..766d8ea0f6c4f02124f5ed6b8f50210b620741b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9033b7398aad73b1", + "api_calls": 0, + "input_tokens": 15272, + "cached_input_tokens": 14720, + "output_tokens": 447, + "total_tokens": 15719, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 21470.2, + "sql_execution_elapsed_ms_total": 3.32, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..eeea3daa3d8ca48f273fe4671e6256124f461dda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:51.022594+00:00", + "ended_at": "2026-05-19T15:43:12.492827+00:00", + "elapsed_ms": 21470.2, + "prompt_metrics": { + "chars": 10684, + "bytes_utf8": 10684, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1874, + "bytes_utf8": 1874, + "lines": 7, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 506, + "bytes_utf8": 506, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15272, + "cached_input_tokens": 14720, + "output_tokens": 447, + "reasoning_output_tokens": 298 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..383b2c0d7fb310122a33b74ad10d0514509c9ee4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=mobile_wt.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "mobile_wt", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a7802f6b6a4514f6b88da288ebe96c4e3be9fa2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,7 @@ +{"type":"thread.started","thread_id":"019e40e7-759f-7492-9f26-77712190af68"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1984334, Requested 15907. Please try again in 7ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15907. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999019, Requested 15907. Please try again in 447ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"mobile_wt\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"mobile_wt\\\"\\nFROM buckets\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"mobile_wt\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col=mobile_wt and num_tiles=10. Cast \\\"mobile_wt\\\" to REAL because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15272,"cached_input_tokens":14720,"output_tokens":447,"reasoning_output_tokens":298}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5ed62291e531fe7ba32378903a648ae569a85709 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt\",\n NTILE(10) OVER (ORDER BY CAST(\"mobile_wt\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"mobile_wt\"\nFROM buckets\nWHERE \"tail_bucket\" = 1\nORDER BY \"mobile_wt\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col=mobile_wt and num_tiles=10. Cast \"mobile_wt\" to REAL because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9033b7398aad73b1/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9828f8af3794d3fec399ec990b61be6907ae1a43 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10693, "bytes_utf8": 10693, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 1831, "bytes_utf8": 1831, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 14720, "output_tokens": 2908, "reasoning_output_tokens": 2288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b4279aac9f5cec8b5de4077cb469fbce4b712b39 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_92f1a12651f16c09", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2908, + "total_tokens": 18163, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 41276.62, + "sql_execution_elapsed_ms_total": 11.44, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ee2f0dbf36e0bb22064953c363525bd3eac8aaa0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:50:18.769080+00:00", + "ended_at": "2026-05-19T15:51:00.045730+00:00", + "elapsed_ms": 41276.62, + "prompt_metrics": { + "chars": 10693, + "bytes_utf8": 10693, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 2448, + "bytes_utf8": 2448, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 1831, + "bytes_utf8": 1831, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 14720, + "output_tokens": 2908, + "reasoning_output_tokens": 2288 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b59d0039c9658a30d167b182b7bd58fd1b134ea7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=sc_w, measure_col=battery_power.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "sc_w", + "measure_col": "battery_power", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 1487.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c33443f2d7b25e95dc1079f107378a0bab34638d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ee-4ab7-7021-88d2-833b9c094dcb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"ranked\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n CAST(\\\"battery_power\\\" AS REAL) AS \\\"measure\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY \\\"sc_w\\\"\\n ORDER BY CAST(\\\"battery_power\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY \\\"sc_w\\\"\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"sc_w\\\" IS NOT NULL\\n AND \\\"battery_power\\\" IS NOT NULL\\n),\\n\\\"positions\\\" AS (\\n SELECT DISTINCT\\n \\\"sc_w\\\",\\n \\\"cnt\\\",\\n ((\\\"cnt\\\" - 1) * 0.9) + 1.0 AS \\\"pos\\\",\\n CAST((((\\\"cnt\\\" - 1) * 0.9) + 1.0) AS INTEGER) AS \\\"lower_rn\\\",\\n CAST((((\\\"cnt\\\" - 1) * 0.9) + 1.0) AS INTEGER)\\n + CASE\\n WHEN (((\\\"cnt\\\" - 1) * 0.9) + 1.0) > CAST((((\\\"cnt\\\" - 1) * 0.9) + 1.0) AS INTEGER) THEN 1\\n ELSE 0\\n END AS \\\"upper_rn\\\"\\n FROM \\\"ranked\\\"\\n WHERE \\\"cnt\\\" >= 5\\n),\\n\\\"picked\\\" AS (\\n SELECT\\n p.\\\"sc_w\\\",\\n p.\\\"pos\\\",\\n p.\\\"lower_rn\\\",\\n p.\\\"upper_rn\\\",\\n l.\\\"measure\\\" AS \\\"lower_measure\\\",\\n u.\\\"measure\\\" AS \\\"upper_measure\\\"\\n FROM \\\"positions\\\" AS p\\n JOIN \\\"ranked\\\" AS l\\n ON l.\\\"sc_w\\\" = p.\\\"sc_w\\\"\\n AND l.\\\"rn\\\" = p.\\\"lower_rn\\\"\\n JOIN \\\"ranked\\\" AS u\\n ON u.\\\"sc_w\\\" = p.\\\"sc_w\\\"\\n AND u.\\\"rn\\\" = p.\\\"upper_rn\\\"\\n)\\nSELECT\\n \\\"sc_w\\\",\\n CASE\\n WHEN \\\"lower_rn\\\" = \\\"upper_rn\\\" THEN \\\"lower_measure\\\"\\n ELSE \\\"lower_measure\\\" + ((\\\"pos\\\" - \\\"lower_rn\\\") * (\\\"upper_measure\\\" - \\\"lower_measure\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"picked\\\"\\nORDER BY \\\"percentile_measure\\\" DESC;\",\"notes\":\"SQLite does not support PERCENTILE_CONT, so this emulates the continuous 90th percentile of \\\"battery_power\\\" within each \\\"sc_w\\\" group using window functions and linear interpolation. Numeric fields are cast from TEXT to REAL, and groups with fewer than 5 rows are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":14720,"output_tokens":2908,"reasoning_output_tokens":2288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd222361c15f1d0a6acf99830ba244caaa6091c3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"ranked\" AS (\n SELECT\n \"sc_w\",\n CAST(\"battery_power\" AS REAL) AS \"measure\",\n ROW_NUMBER() OVER (\n PARTITION BY \"sc_w\"\n ORDER BY CAST(\"battery_power\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY \"sc_w\"\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"sc_w\" IS NOT NULL\n AND \"battery_power\" IS NOT NULL\n),\n\"positions\" AS (\n SELECT DISTINCT\n \"sc_w\",\n \"cnt\",\n ((\"cnt\" - 1) * 0.9) + 1.0 AS \"pos\",\n CAST((((\"cnt\" - 1) * 0.9) + 1.0) AS INTEGER) AS \"lower_rn\",\n CAST((((\"cnt\" - 1) * 0.9) + 1.0) AS INTEGER)\n + CASE\n WHEN (((\"cnt\" - 1) * 0.9) + 1.0) > CAST((((\"cnt\" - 1) * 0.9) + 1.0) AS INTEGER) THEN 1\n ELSE 0\n END AS \"upper_rn\"\n FROM \"ranked\"\n WHERE \"cnt\" >= 5\n),\n\"picked\" AS (\n SELECT\n p.\"sc_w\",\n p.\"pos\",\n p.\"lower_rn\",\n p.\"upper_rn\",\n l.\"measure\" AS \"lower_measure\",\n u.\"measure\" AS \"upper_measure\"\n FROM \"positions\" AS p\n JOIN \"ranked\" AS l\n ON l.\"sc_w\" = p.\"sc_w\"\n AND l.\"rn\" = p.\"lower_rn\"\n JOIN \"ranked\" AS u\n ON u.\"sc_w\" = p.\"sc_w\"\n AND u.\"rn\" = p.\"upper_rn\"\n)\nSELECT\n \"sc_w\",\n CASE\n WHEN \"lower_rn\" = \"upper_rn\" THEN \"lower_measure\"\n ELSE \"lower_measure\" + ((\"pos\" - \"lower_rn\") * (\"upper_measure\" - \"lower_measure\"))\n END AS \"percentile_measure\"\nFROM \"picked\"\nORDER BY \"percentile_measure\" DESC;","notes":"SQLite does not support PERCENTILE_CONT, so this emulates the continuous 90th percentile of \"battery_power\" within each \"sc_w\" group using window functions and linear interpolation. Numeric fields are cast from TEXT to REAL, and groups with fewer than 5 rows are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_92f1a12651f16c09/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a5608ff551b7a28c5dabac23f8aec696da1a99a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11335, "bytes_utf8": 11335, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 799, "bytes_utf8": 799, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15427, "cached_input_tokens": 14720, "output_tokens": 524, "reasoning_output_tokens": 318}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..549d9cfe88577bddf02f2c3f812a75de5afbf881 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_96233f5029530f94", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 14720, + "output_tokens": 524, + "total_tokens": 15951, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11305.0, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc0d96a1350b1ebfdfcaf9eac1b12e146ad68ffc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:13.165650+00:00", + "ended_at": "2026-05-19T15:40:24.470698+00:00", + "elapsed_ms": 11305.0, + "prompt_metrics": { + "chars": 11335, + "bytes_utf8": 11335, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1164, + "bytes_utf8": 1164, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 799, + "bytes_utf8": 799, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15427, + "cached_input_tokens": 14720, + "output_tokens": 524, + "reasoning_output_tokens": 318 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd043bcda0c150261cfae71a095223185fd27884 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=touch_screen, condition_col=touch_screen.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "touch_screen", + "condition_col": "touch_screen", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..7939f4ba3f1a3aab24308b7e4ff6800296ae83a2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-0d13-72c3-85ae-b609aa5e41d9"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"touch_screen\\\",\\n SUM(CASE WHEN \\\"touch_screen\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"touch_screen\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"touch_screen\\\"\\n)\\nSELECT \\\"touch_screen\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the requested template with group_col and condition_col both bound to \\\"touch_screen\\\". Because the grouping column matches the conditioned column, the result is a self-conditional ratio: the '1' group will have a zero denominator and yield NULL, while the '0' group will yield 0.0.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15427,"cached_input_tokens":14720,"output_tokens":524,"reasoning_output_tokens":318}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..95f583d375d8f8ca077e1d8db3a8ab16493c73f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"touch_screen\",\n SUM(CASE WHEN \"touch_screen\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"touch_screen\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"touch_screen\"\n)\nSELECT \"touch_screen\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the requested template with group_col and condition_col both bound to \"touch_screen\". Because the grouping column matches the conditioned column, the result is a self-conditional ratio: the '1' group will have a zero denominator and yield NULL, while the '0' group will yield 0.0."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_96233f5029530f94/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..516bc1fef54154452e6b98144e3447d330f0642b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11311, "bytes_utf8": 11311, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 757, "bytes_utf8": 757, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15426, "cached_input_tokens": 14720, "output_tokens": 674, "reasoning_output_tokens": 471}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f1ef6626c84b2bf72d1f841ad6c105cdf12d134b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_980a177c3ad6e424", + "api_calls": 0, + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 674, + "total_tokens": 16100, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14339.57, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..587f59d8e4f498e611037cb23ef78b4014b81329 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:39:58.815336+00:00", + "ended_at": "2026-05-19T15:40:13.154950+00:00", + "elapsed_ms": 14339.57, + "prompt_metrics": { + "chars": 11311, + "bytes_utf8": 11311, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1128, + "bytes_utf8": 1128, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 757, + "bytes_utf8": 757, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15426, + "cached_input_tokens": 14720, + "output_tokens": 674, + "reasoning_output_tokens": 471 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6e653a76d77a60cae10c7c66db038b44095c456 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=three_g, condition_col=three_g.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "three_g", + "condition_col": "three_g", + "condition_value": "1", + "positive_value": "1", + "negative_value": "0", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..836f6fd71df04dc9a9b0745e9c7218df1ae8d53b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e4-d4d0-74c2-82e0-4162dbaf42c1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT\\n \\\"three_g\\\",\\n SUM(CASE WHEN \\\"three_g\\\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"three_g\\\" = '0' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"three_g\\\"\\n)\\nSELECT\\n \\\"three_g\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Applied the provided grouped ratio template with both group_col and condition_col bound to \\\"three_g\\\". Because the grouping column and condition column are the same, the group where \\\"three_g\\\" = '1' will have a zero denominator and therefore a NULL ratio via NULLIF.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15426,"cached_input_tokens":14720,"output_tokens":674,"reasoning_output_tokens":471}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..09b3801d3d5ae2192872f8c25594243f3e0d02a8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT\n \"three_g\",\n SUM(CASE WHEN \"three_g\" = '1' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"three_g\" = '0' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"three_g\"\n)\nSELECT\n \"three_g\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Applied the provided grouped ratio template with both group_col and condition_col bound to \"three_g\". Because the grouping column and condition column are the same, the group where \"three_g\" = '1' will have a zero denominator and therefore a NULL ratio via NULLIF."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_980a177c3ad6e424/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7ec2f5f879f548a8f8fb6bc47ebac02ca63ec47a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11076, "bytes_utf8": 11076, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 834, "bytes_utf8": 834, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15357, "cached_input_tokens": 12032, "output_tokens": 737, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8006271e275d817411c2e57a9b70db7f77257a30 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_99d65127182e4c8e", + "api_calls": 0, + "input_tokens": 15357, + "cached_input_tokens": 12032, + "output_tokens": 737, + "total_tokens": 16094, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 16315.66, + "sql_execution_elapsed_ms_total": 2.04, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..cc5829f7ab92de0dd06a43a860b17ee0163a8ad1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:46:54.740268+00:00", + "ended_at": "2026-05-19T15:47:11.056055+00:00", + "elapsed_ms": 16315.66, + "prompt_metrics": { + "chars": 11076, + "bytes_utf8": 11076, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1223, + "bytes_utf8": 1223, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 834, + "bytes_utf8": 834, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15357, + "cached_input_tokens": 12032, + "output_tokens": 737, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..87083aab1e2e2c5764186a87f1e032218e63c359 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=price_range, measure_col=mobile_wt.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "price_range", + "measure_col": "mobile_wt", + "top_k": 19, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 160.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3e9b92418463a84d4afd9e742ed07387414fcbe4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40eb-2da4-70f3-a6cc-81d906842596"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold.\\nWITH grouped AS (\\n SELECT\\n \\\"price_range\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n WHERE \\\"price_range\\\" IS NOT NULL\\n AND \\\"price_range\\\" <> ''\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" <> ''\\n GROUP BY \\\"price_range\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"price_range\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.05\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested Relative-to-Total Extreme Threshold template with group_col=\\\"price_range\\\" and measure_col=\\\"mobile_wt\\\". CAST to REAL and filtered NULL/empty TEXT values because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15357,"cached_input_tokens":12032,"output_tokens":737,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..eb2a4ac9a0b2c10b7195610d5db98671031b93df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold.\nWITH grouped AS (\n SELECT\n \"price_range\",\n SUM(CAST(\"mobile_wt\" AS REAL)) AS group_value\n FROM \"m10\"\n WHERE \"price_range\" IS NOT NULL\n AND \"price_range\" <> ''\n AND \"mobile_wt\" IS NOT NULL\n AND \"mobile_wt\" <> ''\n GROUP BY \"price_range\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"price_range\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.05\nORDER BY g.group_value DESC;","notes":"Used the requested Relative-to-Total Extreme Threshold template with group_col=\"price_range\" and measure_col=\"mobile_wt\". CAST to REAL and filtered NULL/empty TEXT values because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_99d65127182e4c8e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..7e9f2709bfceca2a93c2e803cfb80867201151e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11323, "bytes_utf8": 11323, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 617, "bytes_utf8": 617, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15427, "cached_input_tokens": 12032, "output_tokens": 533, "reasoning_output_tokens": 352}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f78e758cfa790b7ce4e11eefe2173e6e7589206f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_9f75f47650af9ee5", + "api_calls": 0, + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 533, + "total_tokens": 15960, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13039.96, + "sql_execution_elapsed_ms_total": 1.27, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b6f38f1d3125f4d90b34d3a2791e6ba840e9ef03 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:59.544232+00:00", + "ended_at": "2026-05-19T15:39:12.584227+00:00", + "elapsed_ms": 13039.96, + "prompt_metrics": { + "chars": 11323, + "bytes_utf8": 11323, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 990, + "bytes_utf8": 990, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 617, + "bytes_utf8": 617, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15427, + "cached_input_tokens": 12032, + "output_tokens": 533, + "reasoning_output_tokens": 352 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..3d3e864022477810fdd3f808cb3fe6c42aa04e52 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_ratio_two_conditions", + "template_name": "Grouped Ratio of Two Conditions", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Ratio of Two Conditions to probe direction_consistency with semantic role contrastive_conditional_view. Focus on group_col=n_cores, condition_col=int_memory.", + "planned_template_id": "tpl_m4_group_ratio_two_conditions", + "bindings": { + "group_col": "n_cores", + "condition_col": "int_memory", + "condition_value": "27", + "positive_value": "27", + "negative_value": "14", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col},\n SUM(CASE WHEN {condition_col} = {positive_value} THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN {condition_col} = {negative_value} THEN 1 ELSE 0 END) AS denominator_count\n FROM {table}\n GROUP BY {group_col}\n)\nSELECT {group_col},\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..87479f838675955718a59921f7549bf683f7533d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-ed66-7941-80da-ff4780fed6cb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_ratio_two_conditions\\nWITH grouped AS (\\n SELECT \\\"n_cores\\\",\\n SUM(CASE WHEN \\\"int_memory\\\" = '27' THEN 1 ELSE 0 END) AS numerator_count,\\n SUM(CASE WHEN \\\"int_memory\\\" = '14' THEN 1 ELSE 0 END) AS denominator_count\\n FROM \\\"m10\\\"\\n GROUP BY \\\"n_cores\\\"\\n)\\nSELECT \\\"n_cores\\\",\\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\\nFROM grouped\\nORDER BY condition_ratio DESC;\",\"notes\":\"Grouped ratio by \\\"n_cores\\\": count of rows where \\\"int_memory\\\" = '27' divided by count of rows where \\\"int_memory\\\" = '14'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15427,"cached_input_tokens":12032,"output_tokens":533,"reasoning_output_tokens":352}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..832b9d83e0fe95a4721aa943f216bc7f09b121b7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_ratio_two_conditions\nWITH grouped AS (\n SELECT \"n_cores\",\n SUM(CASE WHEN \"int_memory\" = '27' THEN 1 ELSE 0 END) AS numerator_count,\n SUM(CASE WHEN \"int_memory\" = '14' THEN 1 ELSE 0 END) AS denominator_count\n FROM \"m10\"\n GROUP BY \"n_cores\"\n)\nSELECT \"n_cores\",\n CAST(numerator_count AS FLOAT) / NULLIF(denominator_count, 0) AS condition_ratio\nFROM grouped\nORDER BY condition_ratio DESC;","notes":"Grouped ratio by \"n_cores\": count of rows where \"int_memory\" = '27' divided by count of rows where \"int_memory\" = '14'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_9f75f47650af9ee5/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..b9495ba59fa3c15a5574fc2e425574f3810e71dc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10908, "bytes_utf8": 10908, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 677, "bytes_utf8": 677, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 14720, "output_tokens": 1479, "reasoning_output_tokens": 1288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..13013bb2ff21e76496ac5c622497a6b036bf70d8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a22f65a85e92da2d", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 1479, + "total_tokens": 16812, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 26593.14, + "sql_execution_elapsed_ms_total": 3.56, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..66ffc65b1ddb0920d6dc80996aa8ae6d28884ad0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:07.342397+00:00", + "ended_at": "2026-05-19T15:37:33.935556+00:00", + "elapsed_ms": 26593.14, + "prompt_metrics": { + "chars": 10908, + "bytes_utf8": 10908, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1080, + "bytes_utf8": 1080, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 677, + "bytes_utf8": 677, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15333, + "cached_input_tokens": 14720, + "output_tokens": 1479, + "reasoning_output_tokens": 1288 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a0960ee96c396fe15f18bcd0f046adf2a89e8361 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=clock_speed, measure_col=m_dep.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "clock_speed", + "measure_col": "m_dep", + "item_col": "pc", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5cafbcf6497d4b1da23b08eab69dc1a11ccb4d56 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-3716-7a42-a54f-51da1d25f3e3"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\",\\n CAST(\\\"pc\\\" AS INTEGER) AS \\\"pc\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"m_dep\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)) AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"clock_speed\\\" AS REAL), CAST(\\\"pc\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Used the provided template with group_col=\\\"clock_speed\\\", item_col=\\\"pc\\\", and measure_col=\\\"m_dep\\\". Cast text-backed numeric columns for SQLite-safe aggregation and grouping.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15333,"cached_input_tokens":14720,"output_tokens":1479,"reasoning_output_tokens":1288}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2384e7f2fc1c9d370993df912663804dcfc4688b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(\"clock_speed\" AS REAL) AS \"clock_speed\",\n CAST(\"pc\" AS INTEGER) AS \"pc\",\n SUM(CAST(\"m_dep\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"m_dep\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"m_dep\" AS REAL))) OVER (PARTITION BY CAST(\"clock_speed\" AS REAL)) AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY CAST(\"clock_speed\" AS REAL), CAST(\"pc\" AS INTEGER)\nORDER BY \"share_within_group\" DESC;","notes":"Used the provided template with group_col=\"clock_speed\", item_col=\"pc\", and measure_col=\"m_dep\". Cast text-backed numeric columns for SQLite-safe aggregation and grouping."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a22f65a85e92da2d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c11b9c52f5912512106c8723d0e8ea6e9611c8b8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:51.242080+00:00", + "ended_at": "2026-05-19T16:00:54.567374+00:00", + "elapsed_ms": 3325.26, + "returncode": 1, + "prompt_metrics": { + "chars": 10750, + "bytes_utf8": 10750, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ed804f5d065e725494a6155a565a423a59f45ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:55.569731+00:00", + "ended_at": "2026-05-19T16:00:59.067911+00:00", + "elapsed_ms": 3498.14, + "returncode": 1, + "prompt_metrics": { + "chars": 10750, + "bytes_utf8": 10750, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0ebedb68a9b5556543786f9809a63999dd181d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=talk_time, condition_col=blue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "talk_time", + "condition_col": "blue", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0ebedb68a9b5556543786f9809a63999dd181d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=talk_time, condition_col=blue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "talk_time", + "condition_col": "blue", + "condition_value": "1", + "positive_value": "0", + "negative_value": "1", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..06c172d149a35d6753108dbd747472602b0ff9f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-f120-77e2-89e1-6eed355c37d8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..de27f518c089843e104d61e482398496512c62be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-f120-77e2-89e1-6eed355c37d8"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..846ee6a0c5c5fcaaedcf0be4a22e061175952283 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0233-7760-925d-8f72f15226a3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1d37ab7b1eb76c62feac1e123c49bf5cb0f42a12 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f8-0233-7760-925d-8f72f15226a3"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a2dc9b5b66dfd4af/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..666177a0daf4cd15588463036744dc9a5fdca06e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10900, "bytes_utf8": 10900, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 560, "bytes_utf8": 560, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 14720, "output_tokens": 631, "reasoning_output_tokens": 459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..eb345399f60d076d319b1ee5da5efdfe89d25593 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a3307361e78bcb4d", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 631, + "total_tokens": 15965, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12808.68, + "sql_execution_elapsed_ms_total": 6.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..99d0062abddf5abc9c41e72ef533651172358c29 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:38:11.420592+00:00", + "ended_at": "2026-05-19T15:38:24.229299+00:00", + "elapsed_ms": 12808.68, + "prompt_metrics": { + "chars": 10900, + "bytes_utf8": 10900, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 946, + "bytes_utf8": 946, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 560, + "bytes_utf8": 560, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 631, + "reasoning_output_tokens": 459 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2c9c47370c5947b6c6e44988b78ee44fc9df1dd4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=fc, measure_col=n_cores.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "fc", + "measure_col": "n_cores", + "item_col": "px_width", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8e9df84503789af202138a17ec7d8a44b94f1e07 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e3-315a-7a73-b49c-b3956395004e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"fc\\\",\\n \\\"px_width\\\",\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"n_cores\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"n_cores\\\" AS REAL))) OVER (PARTITION BY \\\"fc\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\", \\\"px_width\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"fc\\\", item_col=\\\"px_width\\\", and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" to REAL because the schema stores numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15334,"cached_input_tokens":14720,"output_tokens":631,"reasoning_output_tokens":459}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..51a973a14baad949ee99b09a58af5bda5f7f9bb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"fc\",\n \"px_width\",\n SUM(CAST(\"n_cores\" AS REAL)) AS total_measure,\n SUM(CAST(\"n_cores\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"n_cores\" AS REAL))) OVER (PARTITION BY \"fc\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"fc\", \"px_width\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"fc\", item_col=\"px_width\", and measure_col=\"n_cores\". Cast \"n_cores\" to REAL because the schema stores numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a3307361e78bcb4d/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..a59b5b4d1524ce57dd85089f907dc5dd746b1298 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11054, "bytes_utf8": 11054, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 577, "bytes_utf8": 577, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15354, "cached_input_tokens": 12032, "output_tokens": 330, "reasoning_output_tokens": 168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..206ef46380cd5c1ff208e466bf6e41a60a69cfdc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_a8da708357b033da", + "api_calls": 0, + "input_tokens": 15354, + "cached_input_tokens": 12032, + "output_tokens": 330, + "total_tokens": 15684, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14287.92, + "sql_execution_elapsed_ms_total": 2.51, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8861c9731f371f266d962a91db98731f7b525048 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:47:11.063551+00:00", + "ended_at": "2026-05-19T15:47:25.351515+00:00", + "elapsed_ms": 14287.92, + "prompt_metrics": { + "chars": 11054, + "bytes_utf8": 11054, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1281, + "bytes_utf8": 1281, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 577, + "bytes_utf8": 577, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15354, + "cached_input_tokens": 12032, + "output_tokens": 330, + "reasoning_output_tokens": 168 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6a0d6821785341a8936a18f79be6340e26dcc362 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=blue, measure_col=n_cores.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "blue", + "measure_col": "n_cores", + "top_k": 10, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2625d533ab92db45feb3922b02d0432ee77e868f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40eb-6dee-7cf3-974a-a094227a4e3d"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1999847, Requested 15989. Please try again in 475ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH grouped AS (\\n SELECT \\\"blue\\\", SUM(CAST(\\\"n_cores\\\" AS REAL)) AS group_value\\n FROM \\\"m10\\\"\\n GROUP BY \\\"blue\\\"\\n), total AS (\\n SELECT SUM(group_value) AS total_value\\n FROM grouped\\n)\\nSELECT g.\\\"blue\\\", g.group_value\\nFROM grouped AS g\\nCROSS JOIN total AS t\\nWHERE g.group_value > t.total_value * 0.1\\nORDER BY g.group_value DESC;\",\"notes\":\"Used the requested template with group_col=\\\"blue\\\" and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15354,"cached_input_tokens":12032,"output_tokens":330,"reasoning_output_tokens":168}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..17e90a5f1d31a3802519d4894309201c68a8a7de --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n SELECT \"blue\", SUM(CAST(\"n_cores\" AS REAL)) AS group_value\n FROM \"m10\"\n GROUP BY \"blue\"\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.\"blue\", g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * 0.1\nORDER BY g.group_value DESC;","notes":"Used the requested template with group_col=\"blue\" and measure_col=\"n_cores\". Cast \"n_cores\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_a8da708357b033da/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2a294e1eaae7bc03858c2778d9d4bd6363c4ab67 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10812, "bytes_utf8": 10812, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15310, "cached_input_tokens": 14720, "output_tokens": 391, "reasoning_output_tokens": 267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f2b150ea2ce31a9f9f3d0618799f85eb552366f5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ab44158b16ca09ed", + "api_calls": 0, + "input_tokens": 15310, + "cached_input_tokens": 14720, + "output_tokens": 391, + "total_tokens": 15701, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9358.32, + "sql_execution_elapsed_ms_total": 1.38, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3e491d98b031f59f460c0b6efd34f3e9484a5039 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:10.065378+00:00", + "ended_at": "2026-05-19T15:41:19.423724+00:00", + "elapsed_ms": 9358.32, + "prompt_metrics": { + "chars": 10812, + "bytes_utf8": 10812, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 800, + "bytes_utf8": 800, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 421, + "bytes_utf8": 421, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15310, + "cached_input_tokens": 14720, + "output_tokens": 391, + "reasoning_output_tokens": 267 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a974c8cc7eeefbc104f906563db7a317a836d978 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=fc, group_col_2=price_range.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "fc", + "group_col_2": "price_range", + "predicate_col": "m_dep", + "predicate_op": ">=", + "predicate_value": 0.8, + "top_k": 14, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e2dc5ef4df12c400be3feb557211cd3b3914be54 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e5-eb2f-75b1-be2c-babef67d5975"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"fc\\\", \\\"price_range\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"m_dep\\\" AS REAL) >= 0.8\\nGROUP BY \\\"fc\\\", \\\"price_range\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the required template with group_col=\\\"fc\\\", group_col_2=\\\"price_range\\\", and predicate on \\\"m_dep\\\". Cast \\\"m_dep\\\" to REAL because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15310,"cached_input_tokens":14720,"output_tokens":391,"reasoning_output_tokens":267}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..06b4448ff9ed9ff25e0707fc222da0480857c736 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"fc\", \"price_range\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"m_dep\" AS REAL) >= 0.8\nGROUP BY \"fc\", \"price_range\"\nORDER BY \"row_count\" DESC;","notes":"Used the required template with group_col=\"fc\", group_col_2=\"price_range\", and predicate on \"m_dep\". Cast \"m_dep\" to REAL because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ab44158b16ca09ed/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..9d50bba55156fc93549ecfb66066d614526faf42 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10515, "bytes_utf8": 10515, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15216, "cached_input_tokens": 0, "output_tokens": 288, "reasoning_output_tokens": 187}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8a3aa31279d701ec733455d6cf98df950c352583 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ad1985aaa5521d01", + "api_calls": 0, + "input_tokens": 15216, + "cached_input_tokens": 0, + "output_tokens": 288, + "total_tokens": 15504, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11552.05, + "sql_execution_elapsed_ms_total": 1.36, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..b122cb460d38dbe8eeb8263f4c67bf5734786598 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:18.022271+00:00", + "ended_at": "2026-05-19T15:28:29.574347+00:00", + "elapsed_ms": 11552.05, + "prompt_metrics": { + "chars": 10515, + "bytes_utf8": 10515, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 732, + "bytes_utf8": 732, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15216, + "cached_input_tokens": 0, + "output_tokens": 288, + "reasoning_output_tokens": 187 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8f59e5fd8eb0fb9c6dac4bb3dc4ae82ee9d016e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=blue, measure_col=battery_power.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "blue", + "measure_col": "battery_power", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fc19cb58accdc5a2a888a96c6675634ab87357d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-23e4-73d1-a217-b668205d874d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"blue\\\", SUM(CAST(\\\"battery_power\\\" AS REAL)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"blue\\\" and measure_col=\\\"battery_power\\\". Cast \\\"battery_power\\\" to REAL because the SQLite schema stores it as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15216,"cached_input_tokens":0,"output_tokens":288,"reasoning_output_tokens":187}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5b82a87a055921d74cc47bf8c498176fa241d363 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"blue\", SUM(CAST(\"battery_power\" AS REAL)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"blue\"\nORDER BY \"total_measure\" DESC;","notes":"Used the required grouped-sum template with group_col=\"blue\" and measure_col=\"battery_power\". Cast \"battery_power\" to REAL because the SQLite schema stores it as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad1985aaa5521d01/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..f85125f193d2a9bc9959a7b3ef4036e3b0a0c693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:29.482611+00:00", + "ended_at": "2026-05-19T15:52:32.319103+00:00", + "elapsed_ms": 2836.45, + "returncode": 1, + "prompt_metrics": { + "chars": 10674, + "bytes_utf8": 10674, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..32a1604eeaa300304a66600eab6524661859b31e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:52:33.322538+00:00", + "ended_at": "2026-05-19T15:52:36.623716+00:00", + "elapsed_ms": 3301.13, + "returncode": 1, + "prompt_metrics": { + "chars": 10674, + "bytes_utf8": 10674, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecbdc84952bafadf50b24ae0c0c0400545cdc8e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=three_g, measure_col=fc.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "three_g", + "measure_col": "fc", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ecbdc84952bafadf50b24ae0c0c0400545cdc8e5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role ranked_signal_view. Focus on group_col=three_g, measure_col=fc.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "three_g", + "measure_col": "fc", + "top_k": 16, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c573315990da2e8a714af16fab5020c7894b7e5b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-4946-76b0-94c5-0c0120e73c7b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..027e70e5fec886e79a186689749133064342fb8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-4946-76b0-94c5-0c0120e73c7b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..febc3afd600122380f15be576d0d078dab755694 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-5839-7be1-9621-70831a0009eb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..526afe4a6562be5d78a080679bb3190d0a295149 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f0-5839-7be1-9621-70831a0009eb"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ad94182c5d94545a/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..fa1ebc0987275a1d0b4b1697bb9c9b79234c7970 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 11053, "bytes_utf8": 11053, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 686, "bytes_utf8": 686, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15353, "cached_input_tokens": 14720, "output_tokens": 603, "reasoning_output_tokens": 396}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4cfcb972e2699505be117d94f3c60662e1c03b84 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ae4d459c0419ee70", + "api_calls": 0, + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 603, + "total_tokens": 15956, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11842.45, + "sql_execution_elapsed_ms_total": 3.8, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9fffafa41c06dee361029e96234ddf738d4ed182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:49:21.394963+00:00", + "ended_at": "2026-05-19T15:49:33.237461+00:00", + "elapsed_ms": 11842.45, + "prompt_metrics": { + "chars": 11053, + "bytes_utf8": 11053, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1107, + "bytes_utf8": 1107, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 686, + "bytes_utf8": 686, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15353, + "cached_input_tokens": 14720, + "output_tokens": 603, + "reasoning_output_tokens": 396 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..21c4df56a4ac2c54079b1912855d765f8c042efc --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpch_relative_total_threshold", + "template_name": "Relative-to-Total Extreme Threshold", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=m_dep, measure_col=sc_h.", + "planned_template_id": "tpl_tpch_relative_total_threshold", + "bindings": { + "group_col": "m_dep", + "measure_col": "sc_h", + "top_k": 15, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH grouped AS (\n SELECT {group_col}, SUM({measure_col}) AS group_value\n FROM {table}\n GROUP BY {group_col}\n), total AS (\n SELECT SUM(group_value) AS total_value\n FROM grouped\n)\nSELECT g.{group_col}, g.group_value\nFROM grouped AS g\nCROSS JOIN total AS t\nWHERE g.group_value > t.total_value * {fraction_threshold}\nORDER BY g.group_value DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6aa09080663c7277064032aa45547c3d7165b36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40ed-6a74-7b11-a562-e32ce0f07443"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpch_relative_total_threshold\\nWITH \\\"grouped\\\" AS (\\n SELECT CAST(\\\"m_dep\\\" AS REAL) AS \\\"m_dep\\\",\\n SUM(CAST(\\\"sc_h\\\" AS REAL)) AS \\\"group_value\\\"\\n FROM \\\"m10\\\"\\n GROUP BY CAST(\\\"m_dep\\\" AS REAL)\\n),\\n\\\"total\\\" AS (\\n SELECT SUM(\\\"group_value\\\") AS \\\"total_value\\\"\\n FROM \\\"grouped\\\"\\n)\\nSELECT g.\\\"m_dep\\\", g.\\\"group_value\\\"\\nFROM \\\"grouped\\\" AS g\\nCROSS JOIN \\\"total\\\" AS t\\nWHERE g.\\\"group_value\\\" > t.\\\"total_value\\\" * 0.05\\nORDER BY g.\\\"group_value\\\" DESC;\",\"notes\":\"Used the requested template with group_col=\\\"m_dep\\\" and measure_col=\\\"sc_h\\\". Casts to REAL are included because the SQLite schema stores these numeric fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15353,"cached_input_tokens":14720,"output_tokens":603,"reasoning_output_tokens":396}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..afbd302d48440c265dd0b28575c95b06b1d42248 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH \"grouped\" AS (\n SELECT CAST(\"m_dep\" AS REAL) AS \"m_dep\",\n SUM(CAST(\"sc_h\" AS REAL)) AS \"group_value\"\n FROM \"m10\"\n GROUP BY CAST(\"m_dep\" AS REAL)\n),\n\"total\" AS (\n SELECT SUM(\"group_value\") AS \"total_value\"\n FROM \"grouped\"\n)\nSELECT g.\"m_dep\", g.\"group_value\"\nFROM \"grouped\" AS g\nCROSS JOIN \"total\" AS t\nWHERE g.\"group_value\" > t.\"total_value\" * 0.05\nORDER BY g.\"group_value\" DESC;","notes":"Used the requested template with group_col=\"m_dep\" and measure_col=\"sc_h\". Casts to REAL are included because the SQLite schema stores these numeric fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ae4d459c0419ee70/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..ceac4b83aa8d070bb7836bf83b9a7fc4f7283eec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10910, "bytes_utf8": 10910, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 708, "bytes_utf8": 708, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 12032, "output_tokens": 1234, "reasoning_output_tokens": 1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..433358add06e8d7c3d1ba0d52019128e1fae728f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b2085b43faae898a", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 12032, + "output_tokens": 1234, + "total_tokens": 16568, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 25770.29, + "sql_execution_elapsed_ms_total": 5.88, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..03c57a0547d9a7e59b627c863d294ce38d8be42d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:34:25.461908+00:00", + "ended_at": "2026-05-19T15:34:51.232221+00:00", + "elapsed_ms": 25770.29, + "prompt_metrics": { + "chars": 10910, + "bytes_utf8": 10910, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1099, + "bytes_utf8": 1099, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 708, + "bytes_utf8": 708, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15334, + "cached_input_tokens": 12032, + "output_tokens": 1234, + "reasoning_output_tokens": 1034 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a3ff3730e0a1eea4bafd014867f2d862962c5b3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=talk_time, measure_col=sc_w.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "talk_time", + "measure_col": "sc_w", + "item_col": "ram", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fb13f4131f309b56b24f3aff45d9dd7cddc40bef --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40df-bec4-70f0-ae80-db4aea100cc6"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT CAST(\\\"talk_time\\\" AS INTEGER) AS \\\"talk_time\\\",\\n CAST(\\\"ram\\\" AS INTEGER) AS \\\"ram\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"sc_w\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"sc_w\\\" AS REAL))) OVER (PARTITION BY CAST(\\\"talk_time\\\" AS INTEGER)) AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nGROUP BY CAST(\\\"talk_time\\\" AS INTEGER), CAST(\\\"ram\\\" AS INTEGER)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied template tpl_tpcds_within_group_share with group_col=talk_time, item_col=ram, and measure_col=sc_w. Cast numeric-like TEXT columns to numeric types for correct aggregation and partitioning in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15334,"cached_input_tokens":12032,"output_tokens":1234,"reasoning_output_tokens":1034}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ab2068e984cb730382793a0f166e53a0e59d674c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT CAST(\"talk_time\" AS INTEGER) AS \"talk_time\",\n CAST(\"ram\" AS INTEGER) AS \"ram\",\n SUM(CAST(\"sc_w\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"sc_w\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"sc_w\" AS REAL))) OVER (PARTITION BY CAST(\"talk_time\" AS INTEGER)) AS \"share_within_group\"\nFROM \"m10\"\nGROUP BY CAST(\"talk_time\" AS INTEGER), CAST(\"ram\" AS INTEGER)\nORDER BY \"share_within_group\" DESC;","notes":"Applied template tpl_tpcds_within_group_share with group_col=talk_time, item_col=ram, and measure_col=sc_w. Cast numeric-like TEXT columns to numeric types for correct aggregation and partitioning in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b2085b43faae898a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..bcad738821af41b57161c75c56571955f722a755 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10671, "bytes_utf8": 10671, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 481, "bytes_utf8": 481, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15269, "cached_input_tokens": 14720, "output_tokens": 489, "reasoning_output_tokens": 342}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1dca9a7dab3bf5f4f0d6c718eb8f5dcdfe5c371f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_b7dd2887753a5f30", + "api_calls": 0, + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 489, + "total_tokens": 15758, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 17220.8, + "sql_execution_elapsed_ms_total": 5.31, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..c4d6fe5564c3c6f2e9333c40db9c1bc99461c2b9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:45:22.458071+00:00", + "ended_at": "2026-05-19T15:45:39.678906+00:00", + "elapsed_ms": 17220.8, + "prompt_metrics": { + "chars": 10671, + "bytes_utf8": 10671, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 857, + "bytes_utf8": 857, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 481, + "bytes_utf8": 481, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15269, + "cached_input_tokens": 14720, + "output_tokens": 489, + "reasoning_output_tokens": 342 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..df6f3e184a55f6648d23b8d1aa9c804671252182 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=sc_w.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "sc_w", + "top_k": 12, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..850107b4966ca31a5244aa6690e0873d24c615a5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e9-c52c-70f3-bffa-45c07539b6fa"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT\\n \\\"sc_w\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"sc_w\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"sc_w\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY CAST(\\\"sc_w\\\" AS REAL) DESC;\",\"notes\":\"Uses the planned Quantile Tail Slice template with measure_col bound to \\\"sc_w\\\" and num_tiles=10. CAST to REAL is applied because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15269,"cached_input_tokens":14720,"output_tokens":489,"reasoning_output_tokens":342}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ee2dab072e0d8627c71a458c600693fe4b66f986 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT\n \"sc_w\",\n NTILE(10) OVER (ORDER BY CAST(\"sc_w\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"sc_w\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY CAST(\"sc_w\" AS REAL) DESC;","notes":"Uses the planned Quantile Tail Slice template with measure_col bound to \"sc_w\" and num_tiles=10. CAST to REAL is applied because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_b7dd2887753a5f30/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..dd77e1bcfe807af9d8d705be7785a6e6b1fb2ec2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10803, "bytes_utf8": 10803, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 441, "bytes_utf8": 441, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15308, "cached_input_tokens": 14720, "output_tokens": 438, "reasoning_output_tokens": 316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..48f081834d180ddfea1cd5f6097e853b9db6bc64 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_bceba39e090915ea", + "api_calls": 0, + "input_tokens": 15308, + "cached_input_tokens": 14720, + "output_tokens": 438, + "total_tokens": 15746, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14426.11, + "sql_execution_elapsed_ms_total": 0.85, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..ddc5bb1d785e273c6ac1b5a89e18d37cb7cc117a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:40:55.634681+00:00", + "ended_at": "2026-05-19T15:41:10.060816+00:00", + "elapsed_ms": 14426.11, + "prompt_metrics": { + "chars": 10803, + "bytes_utf8": 10803, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1149, + "bytes_utf8": 1149, + "lines": 5, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 441, + "bytes_utf8": 441, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15308, + "cached_input_tokens": 14720, + "output_tokens": 438, + "reasoning_output_tokens": 316 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b6792e782fb1b54fce7b0233a3da7113c754e930 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=fc, group_col_2=wifi.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "fc", + "group_col_2": "wifi", + "predicate_col": "int_memory", + "predicate_op": ">=", + "predicate_value": 48.0, + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9b4d03ff4481e0691bae2f2f9645bc4d0dc644a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,5 @@ +{"type":"thread.started","thread_id":"019e40e5-b2d5-7032-89f9-8bb95705a0a6"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1989319, Requested 15943. Please try again in 157ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"fc\\\", \\\"wifi\\\", COUNT(*) AS \\\"row_count\\\"\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"int_memory\\\" AS REAL) >= 48.0\\nGROUP BY \\\"fc\\\", \\\"wifi\\\"\\nORDER BY \\\"row_count\\\" DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"fc\\\", group_col_2=\\\"wifi\\\", and predicate on \\\"int_memory\\\". CAST is applied because the schema stores numeric values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15308,"cached_input_tokens":14720,"output_tokens":438,"reasoning_output_tokens":316}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1e9ae5b166ecbd173e0a410aeacae4d8ba1a7e98 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"fc\", \"wifi\", COUNT(*) AS \"row_count\"\nFROM \"m10\"\nWHERE CAST(\"int_memory\" AS REAL) >= 48.0\nGROUP BY \"fc\", \"wifi\"\nORDER BY \"row_count\" DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"fc\", group_col_2=\"wifi\", and predicate on \"int_memory\". CAST is applied because the schema stores numeric values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bceba39e090915ea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..a312280f04765b98ab8cce759b635528c684ad6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:28.810641+00:00", + "ended_at": "2026-05-19T16:06:32.049478+00:00", + "elapsed_ms": 3238.81, + "returncode": 1, + "prompt_metrics": { + "chars": 10587, + "bytes_utf8": 10587, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3bdeb659660f6d9b494ac07e63ffed0f9f57c790 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:33.051102+00:00", + "ended_at": "2026-05-19T16:06:35.897397+00:00", + "elapsed_ms": 2846.26, + "returncode": 1, + "prompt_metrics": { + "chars": 10587, + "bytes_utf8": 10587, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0cd55958f046d66f3f21aeb69e208db86307731 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=wifi, measure_col=px_height.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "wifi", + "measure_col": "px_height", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0cd55958f046d66f3f21aeb69e208db86307731 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=wifi, measure_col=px_height.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "wifi", + "measure_col": "px_height", + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 947.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..bd5a5d94ca41d0ab2f3d52be6a00c82086f557dd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-17d8-72a2-91c3-54aee437439e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c81c9ecdb642dd9257262e4f7d02583511884cc6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-17d8-72a2-91c3-54aee437439e"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b0257e2b763a7654ccc84e5b6ecde691a54700c9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-2853-7bd2-a1c7-9de977576e00"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b19a1f7dd4ecd3d3599bfa61788e4e1fcc239b62 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-2853-7bd2-a1c7-9de977576e00"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_bfdfa7ef5973ad00/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1aa17bd171ec33f0f2af7a02520141df443da47a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10510, "bytes_utf8": 10510, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 373, "bytes_utf8": 373, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15219, "cached_input_tokens": 12032, "output_tokens": 290, "reasoning_output_tokens": 185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b7fc696045d42688a3f7b9f6a93ddd801ba47878 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c01b08ce42f22cf0", + "api_calls": 0, + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15509, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10480.02, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6f7d03ec83519ed04c50dca16b91aa3499367625 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:57.114361+00:00", + "ended_at": "2026-05-19T15:30:07.594409+00:00", + "elapsed_ms": 10480.02, + "prompt_metrics": { + "chars": 10510, + "bytes_utf8": 10510, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 729, + "bytes_utf8": 729, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 373, + "bytes_utf8": 373, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15219, + "cached_input_tokens": 12032, + "output_tokens": 290, + "reasoning_output_tokens": 185 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a71b385d9ad9e1803c32363ad6a547e1a8830bbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=four_g, measure_col=mobile_wt.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "four_g", + "measure_col": "mobile_wt", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 160.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..23dfcd49f5585ff132a4b06fff7ba32d54417efa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-a696-78a3-88f7-a17d4946e98b"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT\\n \\\"four_g\\\",\\n SUM(CAST(\\\"mobile_wt\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"four_g\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Uses the planned grouped-sum template with group_col=\\\"four_g\\\" and measure_col=\\\"mobile_wt\\\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15219,"cached_input_tokens":12032,"output_tokens":290,"reasoning_output_tokens":185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a9e0a12115b895916403b7d63fac91447884bd46 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT\n \"four_g\",\n SUM(CAST(\"mobile_wt\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"four_g\"\nORDER BY total_measure DESC;","notes":"Uses the planned grouped-sum template with group_col=\"four_g\" and measure_col=\"mobile_wt\". CAST is applied because the schema stores numeric-looking fields as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c01b08ce42f22cf0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c3e2cd0472be9fa1f070476cb2745590b38188df --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10509, "bytes_utf8": 10509, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 331, "bytes_utf8": 331, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15228, "cached_input_tokens": 12032, "output_tokens": 189, "reasoning_output_tokens": 96}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..1e2519d47b9c51bf8d929c7a1c7999ca6b5a2130 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c4f9ecfa06b91d7b", + "api_calls": 0, + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 189, + "total_tokens": 15417, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7324.24, + "sql_execution_elapsed_ms_total": 1.83, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..174449fd4bd8e3a8fb346a8848ebabb268c264d9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:57.398482+00:00", + "ended_at": "2026-05-19T16:04:04.722754+00:00", + "elapsed_ms": 7324.24, + "prompt_metrics": { + "chars": 10509, + "bytes_utf8": 10509, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 683, + "bytes_utf8": 683, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 331, + "bytes_utf8": 331, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15228, + "cached_input_tokens": 12032, + "output_tokens": 189, + "reasoning_output_tokens": 96 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..4a8f04edabd6fc6c845a07c96984927fc1e22b28 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=clock_speed.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "clock_speed", + "top_k": 16, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1a09bab7896bbd58fa00007aa2cb058f74892799 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-c866-7521-9ff9-15222b9e2b0e"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"clock_speed\\\",\\n COUNT(*) AS support\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY support ASC, \\\"clock_speed\\\"\\nLIMIT 16;\",\"notes\":\"Applied the provided Low-Support Group Count template with group_col bound to \\\"clock_speed\\\" and top_k set to 16.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15228,"cached_input_tokens":12032,"output_tokens":189,"reasoning_output_tokens":96}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..5fba0cb36d2625eab85874c8a619df3679bea194 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"clock_speed\",\n COUNT(*) AS support\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY support ASC, \"clock_speed\"\nLIMIT 16;","notes":"Applied the provided Low-Support Group Count template with group_col bound to \"clock_speed\" and top_k set to 16."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c4f9ecfa06b91d7b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..db5c0e2c99023fb80e399e7637cb4472da6ec97b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:35.900787+00:00", + "ended_at": "2026-05-19T16:06:39.054052+00:00", + "elapsed_ms": 3153.23, + "returncode": 1, + "prompt_metrics": { + "chars": 10592, + "bytes_utf8": 10592, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2e5a7b83f326f03f64951af955453d5885313141 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:40.056790+00:00", + "ended_at": "2026-05-19T16:06:43.064582+00:00", + "elapsed_ms": 3007.74, + "returncode": 1, + "prompt_metrics": { + "chars": 10592, + "bytes_utf8": 10592, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0a0ce7d0e8caba52ca2cc2e8bd3cf29af7f242 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=wifi, measure_col=px_height.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "wifi", + "measure_col": "px_height", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9d0a0ce7d0e8caba52ca2cc2e8bd3cf29af7f242 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe direction_consistency with semantic role filtered_stable_view. Focus on group_col=wifi, measure_col=px_height.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "wifi", + "measure_col": "px_height", + "top_k": 18, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6ac6672c0e9453f051be4b90ada0d3dede4f519 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3374-7920-af1d-ab926a855c59"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..cd60f3b4e355c6250a83ed2e0a72daefe3f895d6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-3374-7920-af1d-ab926a855c59"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..594cc1b19e47670b7eee2a89ca1d8ffd771d989d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-43cc-7741-bcd5-d21b41d772a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..96fbebdb996ecd638933afd003da710ff55d48bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-43cc-7741-bcd5-d21b41d772a5"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c50fce2fbefe74b0/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b213383d6f862afd210b652223cb0ab8c9544b0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10503, "bytes_utf8": 10503, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 368, "bytes_utf8": 368, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 290, "reasoning_output_tokens": 183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..b2f1eade5188f8589ab0e0021e4faaff6f5871fb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c73252611db53277", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 290, + "total_tokens": 15507, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 19647.65, + "sql_execution_elapsed_ms_total": 1.17, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..d0761e532e51467295031e15847bc4b25a9e6910 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:20.225514+00:00", + "ended_at": "2026-05-19T15:30:39.873195+00:00", + "elapsed_ms": 19647.65, + "prompt_metrics": { + "chars": 10503, + "bytes_utf8": 10503, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1392, + "bytes_utf8": 1392, + "lines": 6, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 368, + "bytes_utf8": 368, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 290, + "reasoning_output_tokens": 183 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..beae4e79efb2be32f38544432376254c4a6ec3a3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=m_dep, measure_col=n_cores.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "m_dep", + "measure_col": "n_cores", + "top_k": 15, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 6.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d6a4e5df726fbc9bccee316b2f595ce391c2ec65 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,6 @@ +{"type":"thread.started","thread_id":"019e40dc-00c0-7fc2-8a2d-0525ec58032b"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15852. Please try again in 475ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1992880, Requested 15852. Please try again in 261ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"m_dep\\\", SUM(CAST(\\\"n_cores\\\" AS NUMERIC)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the provided Grouped Numeric Sum template with group_col=\\\"m_dep\\\" and measure_col=\\\"n_cores\\\". Cast \\\"n_cores\\\" to NUMERIC because the schema stores values as TEXT in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15217,"cached_input_tokens":12032,"output_tokens":290,"reasoning_output_tokens":183}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6bb7e00a86291f7d4984a13ba37e9f76659e4712 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"m_dep\", SUM(CAST(\"n_cores\" AS NUMERIC)) AS total_measure\nFROM \"m10\"\nGROUP BY \"m_dep\"\nORDER BY total_measure DESC;","notes":"Used the provided Grouped Numeric Sum template with group_col=\"m_dep\" and measure_col=\"n_cores\". Cast \"n_cores\" to NUMERIC because the schema stores values as TEXT in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c73252611db53277/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4ed6aa1c9be8b2ff6f1dab9a97d61c9cc3c3f704 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10810, "bytes_utf8": 10810, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 461, "bytes_utf8": 461, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15311, "cached_input_tokens": 14720, "output_tokens": 421, "reasoning_output_tokens": 294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..2f65b47cee9a2348f66729a03f87b8a0306fda82 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c79df93e69816470", + "api_calls": 0, + "input_tokens": 15311, + "cached_input_tokens": 14720, + "output_tokens": 421, + "total_tokens": 15732, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9685.17, + "sql_execution_elapsed_ms_total": 1.82, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6ff5ec6d4155e4ad56f23522378123ea0bebe277 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:42:01.583948+00:00", + "ended_at": "2026-05-19T15:42:11.269158+00:00", + "elapsed_ms": 9685.17, + "prompt_metrics": { + "chars": 10810, + "bytes_utf8": 10810, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 828, + "bytes_utf8": 828, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 461, + "bytes_utf8": 461, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15311, + "cached_input_tokens": 14720, + "output_tokens": 421, + "reasoning_output_tokens": 294 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f2f57198a338714ad7e1f380b979f2cd1996db15 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=sc_h.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "four_g", + "group_col_2": "sc_h", + "predicate_col": "px_height", + "predicate_op": ">=", + "predicate_value": 947.25, + "top_k": 13, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 9.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b524ef42ed2e0357fe2657cdbafb7a5d425d31c2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-b494-74e1-8b7c-680f0b3e7e43"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"sc_h\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"px_height\\\" AS REAL) >= 947.25\\nGROUP BY \\\"four_g\\\", \\\"sc_h\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the provided filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"sc_h\\\", and predicate on \\\"px_height\\\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15311,"cached_input_tokens":14720,"output_tokens":421,"reasoning_output_tokens":294}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..33023ba0ffe5a3092fdf0e61fe08d8dce7d74c7c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"sc_h\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"px_height\" AS REAL) >= 947.25\nGROUP BY \"four_g\", \"sc_h\"\nORDER BY row_count DESC;","notes":"Used the provided filtered two-dimensional group count template with group_col=\"four_g\", group_col_2=\"sc_h\", and predicate on \"px_height\". CAST to REAL is applied because the schema stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c79df93e69816470/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..5b8455891a6a169541221861adb5264f0638fd08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10919, "bytes_utf8": 10919, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 588, "bytes_utf8": 588, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 14720, "output_tokens": 595, "reasoning_output_tokens": 432}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..f373c0f84a608507263f9f6a8964ec9a17f61e3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_c89aab9424738ce2", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 595, + "total_tokens": 15929, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11676.77, + "sql_execution_elapsed_ms_total": 2.98, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..3a042ae0bfa28b2ad9834f83f94897002c02ac22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:35:52.088623+00:00", + "ended_at": "2026-05-19T15:36:03.765414+00:00", + "elapsed_ms": 11676.77, + "prompt_metrics": { + "chars": 10919, + "bytes_utf8": 10919, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 972, + "bytes_utf8": 972, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 588, + "bytes_utf8": 588, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 595, + "reasoning_output_tokens": 432 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e58ff66f6f5109422091aef0b77c8453ca7f96cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=wifi, measure_col=battery_power.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "wifi", + "measure_col": "battery_power", + "item_col": "fc", + "top_k": 13, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1615.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..56dbab3fb36ac6073970aebf1cf890035a9dc4f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-111c-7a83-b058-08ba9c8acacb"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"wifi\\\", \\\"fc\\\",\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"battery_power\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"battery_power\\\" AS REAL))) OVER (PARTITION BY \\\"wifi\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"wifi\\\", \\\"fc\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applies the Within-Group Share of Total template with group_col=\\\"wifi\\\", item_col=\\\"fc\\\", and measure_col=\\\"battery_power\\\". \\\"battery_power\\\" is cast from TEXT to REAL so the aggregation is numeric in SQLite.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15334,"cached_input_tokens":14720,"output_tokens":595,"reasoning_output_tokens":432}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..50e9f535a6990196186a4caec1d071aadd6f1022 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"wifi\", \"fc\",\n SUM(CAST(\"battery_power\" AS REAL)) AS total_measure,\n SUM(CAST(\"battery_power\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"battery_power\" AS REAL))) OVER (PARTITION BY \"wifi\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"wifi\", \"fc\"\nORDER BY share_within_group DESC;","notes":"Applies the Within-Group Share of Total template with group_col=\"wifi\", item_col=\"fc\", and measure_col=\"battery_power\". \"battery_power\" is cast from TEXT to REAL so the aggregation is numeric in SQLite."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_c89aab9424738ce2/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..2b77ecaffcc45a40f24f0ae2a2d5744b6fb710b1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10669, "bytes_utf8": 10669, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 491, "bytes_utf8": 491, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15268, "cached_input_tokens": 14720, "output_tokens": 357, "reasoning_output_tokens": 221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..15dfba0e2f54f7049dc1baf7ecccb21470ede3cb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cadb4896964294b9", + "api_calls": 0, + "input_tokens": 15268, + "cached_input_tokens": 14720, + "output_tokens": 357, + "total_tokens": 15625, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9186.02, + "sql_execution_elapsed_ms_total": 7.07, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1c453c25816d6a694bd00042310bc51287b8c773 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:43:39.076404+00:00", + "ended_at": "2026-05-19T15:43:48.262460+00:00", + "elapsed_ms": 9186.02, + "prompt_metrics": { + "chars": 10669, + "bytes_utf8": 10669, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 850, + "bytes_utf8": 850, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 491, + "bytes_utf8": 491, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15268, + "cached_input_tokens": 14720, + "output_tokens": 357, + "reasoning_output_tokens": 221 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31e3820efba80c4e2907b9228641173352ac9c9d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=pc.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "pc", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..289f57e869c6bef7e899de452934c05117dd387f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e8-315d-78a3-8be6-e0cab8cb6053"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH buckets AS (\\n SELECT \\\"pc\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"pc\\\" AS REAL) DESC) AS tail_bucket\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"pc\\\"\\nFROM buckets\\nWHERE tail_bucket = 1\\nORDER BY CAST(\\\"pc\\\" AS REAL) DESC;\",\"notes\":\"Used the Quantile Tail Slice template with measure_col bound to \\\"pc\\\" and num_tiles=10. CAST to REAL is applied because the schema stores values as TEXT, and tail slicing should use numeric ordering.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15268,"cached_input_tokens":14720,"output_tokens":357,"reasoning_output_tokens":221}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..698619357dcb0b790b4c8dd2357b5044466bf13c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH buckets AS (\n SELECT \"pc\",\n NTILE(10) OVER (ORDER BY CAST(\"pc\" AS REAL) DESC) AS tail_bucket\n FROM \"m10\"\n)\nSELECT \"pc\"\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY CAST(\"pc\" AS REAL) DESC;","notes":"Used the Quantile Tail Slice template with measure_col bound to \"pc\" and num_tiles=10. CAST to REAL is applied because the schema stores values as TEXT, and tail slicing should use numeric ordering."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cadb4896964294b9/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..909026924cd74a6e2f4d5ab6545ae3ec3404973a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10897, "bytes_utf8": 10897, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 695, "bytes_utf8": 695, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15332, "cached_input_tokens": 12032, "output_tokens": 725, "reasoning_output_tokens": 516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..44750859023ae922bdbd9fd84227ca3cc10737c5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_cbce3e217e51daea", + "api_calls": 0, + "input_tokens": 15332, + "cached_input_tokens": 12032, + "output_tokens": 725, + "total_tokens": 16057, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13659.29, + "sql_execution_elapsed_ms_total": 2.45, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..642210dd6cf4500bedad7049841510d9695f6013 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:53.676819+00:00", + "ended_at": "2026-05-19T15:37:07.336139+00:00", + "elapsed_ms": 13659.29, + "prompt_metrics": { + "chars": 10897, + "bytes_utf8": 10897, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 1108, + "bytes_utf8": 1108, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 695, + "bytes_utf8": 695, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15332, + "cached_input_tokens": 12032, + "output_tokens": 725, + "reasoning_output_tokens": 516 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0d712c30a4e76a14ceded3fa1da62c668e5f2b8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=blue, measure_col=fc.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "blue", + "measure_col": "fc", + "item_col": "mobile_wt", + "top_k": 15, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 5.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5abb35b4c2324762a2db7ef123f25d8a9a51a737 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-01b2-7cd1-8a51-d204bb285b8f"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n \\\"blue\\\",\\n CAST(\\\"mobile_wt\\\" AS REAL) AS \\\"mobile_wt\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) AS \\\"total_measure\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"fc\\\" AS REAL))) OVER (PARTITION BY \\\"blue\\\") AS \\\"share_within_group\\\"\\nFROM \\\"m10\\\"\\nWHERE \\\"blue\\\" IS NOT NULL\\n AND \\\"mobile_wt\\\" IS NOT NULL\\n AND \\\"fc\\\" IS NOT NULL\\nGROUP BY \\\"blue\\\", CAST(\\\"mobile_wt\\\" AS REAL)\\nORDER BY \\\"share_within_group\\\" DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"blue\\\", item_col=\\\"mobile_wt\\\", and measure_col=\\\"fc\\\". Cast numeric-like TEXT columns to REAL for SQLite aggregation correctness.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15332,"cached_input_tokens":12032,"output_tokens":725,"reasoning_output_tokens":516}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..19fa868187d82eed831f819092523757f5dd71f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n \"blue\",\n CAST(\"mobile_wt\" AS REAL) AS \"mobile_wt\",\n SUM(CAST(\"fc\" AS REAL)) AS \"total_measure\",\n SUM(CAST(\"fc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"fc\" AS REAL))) OVER (PARTITION BY \"blue\") AS \"share_within_group\"\nFROM \"m10\"\nWHERE \"blue\" IS NOT NULL\n AND \"mobile_wt\" IS NOT NULL\n AND \"fc\" IS NOT NULL\nGROUP BY \"blue\", CAST(\"mobile_wt\" AS REAL)\nORDER BY \"share_within_group\" DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"blue\", item_col=\"mobile_wt\", and measure_col=\"fc\". Cast numeric-like TEXT columns to REAL for SQLite aggregation correctness."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_cbce3e217e51daea/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..768d1c3557aef681f57e7cb1ba011cbea1af792f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10701, "bytes_utf8": 10701, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 2298, "bytes_utf8": 2298, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15255, "cached_input_tokens": 12032, "output_tokens": 3830, "reasoning_output_tokens": 3060}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..7ee22d04578737f2944f321c807fd0e84a017ada --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ce949cbb96e18e18", + "api_calls": 0, + "input_tokens": 15255, + "cached_input_tokens": 12032, + "output_tokens": 3830, + "total_tokens": 19085, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 50805.21, + "sql_execution_elapsed_ms_total": 8.09, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..13c142c56a087e199f69f748c815abf43082fbb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:57:12.045197+00:00", + "ended_at": "2026-05-19T15:58:02.850440+00:00", + "elapsed_ms": 50805.21, + "prompt_metrics": { + "chars": 10701, + "bytes_utf8": 10701, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 3032, + "bytes_utf8": 3032, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 2298, + "bytes_utf8": 2298, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15255, + "cached_input_tokens": 12032, + "output_tokens": 3830, + "reasoning_output_tokens": 3060 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..0659d3031e6cd6ebd393b156ff66c2b26b2a4297 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_grouped_percentile_point", + "template_name": "Grouped Percentile Point", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Percentile Point to probe tail_concentration_consistency with semantic role focused_target_view. Focus on group_col=clock_speed, measure_col=px_height.", + "planned_template_id": "tpl_grouped_percentile_point", + "bindings": { + "group_col": "clock_speed", + "measure_col": "px_height", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 781.34, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n PERCENTILE_CONT({percentile_value}) WITHIN GROUP (ORDER BY {measure_col}) AS percentile_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY percentile_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..1fed15297284abbd1d697237595f560566ad3eb0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f4-98ed-7911-b4bc-922ef24a8a42"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_grouped_percentile_point\\nWITH \\\"__ordered\\\" AS (\\n SELECT\\n CAST(\\\"clock_speed\\\" AS REAL) AS \\\"clock_speed\\\",\\n CAST(\\\"px_height\\\" AS REAL) AS \\\"px_height\\\",\\n ROW_NUMBER() OVER (\\n PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)\\n ORDER BY CAST(\\\"px_height\\\" AS REAL)\\n ) AS \\\"rn\\\",\\n COUNT(*) OVER (\\n PARTITION BY CAST(\\\"clock_speed\\\" AS REAL)\\n ) AS \\\"cnt\\\"\\n FROM \\\"m10\\\"\\n WHERE \\\"clock_speed\\\" IS NOT NULL\\n AND TRIM(\\\"clock_speed\\\") <> ''\\n AND \\\"px_height\\\" IS NOT NULL\\n AND TRIM(\\\"px_height\\\") <> ''\\n),\\n\\\"__positions\\\" AS (\\n SELECT\\n \\\"clock_speed\\\",\\n \\\"px_height\\\",\\n \\\"rn\\\",\\n \\\"cnt\\\",\\n ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS \\\"pos\\\",\\n CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) AS \\\"lo_rn\\\",\\n CASE\\n WHEN ((0.95 * (\\\"cnt\\\" - 1)) + 1.0) = CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n THEN CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER)\\n ELSE CAST(((0.95 * (\\\"cnt\\\" - 1)) + 1.0) AS INTEGER) + 1\\n END AS \\\"hi_rn\\\"\\n FROM \\\"__ordered\\\"\\n),\\n\\\"__percentile_inputs\\\" AS (\\n SELECT DISTINCT\\n \\\"clock_speed\\\",\\n \\\"cnt\\\",\\n \\\"pos\\\",\\n \\\"lo_rn\\\",\\n \\\"hi_rn\\\"\\n FROM \\\"__positions\\\"\\n),\\n\\\"__percentile_values\\\" AS (\\n SELECT\\n \\\"p\\\".\\\"clock_speed\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"lo_rn\\\" THEN \\\"o\\\".\\\"px_height\\\" END) AS \\\"lo_value\\\",\\n MAX(CASE WHEN \\\"o\\\".\\\"rn\\\" = \\\"p\\\".\\\"hi_rn\\\" THEN \\\"o\\\".\\\"px_height\\\" END) AS \\\"hi_value\\\",\\n MAX(\\\"p\\\".\\\"pos\\\") AS \\\"pos\\\",\\n MAX(\\\"p\\\".\\\"cnt\\\") AS \\\"cnt\\\"\\n FROM \\\"__percentile_inputs\\\" AS \\\"p\\\"\\n JOIN \\\"__ordered\\\" AS \\\"o\\\"\\n ON \\\"o\\\".\\\"clock_speed\\\" = \\\"p\\\".\\\"clock_speed\\\"\\n GROUP BY \\\"p\\\".\\\"clock_speed\\\"\\n)\\nSELECT\\n \\\"clock_speed\\\",\\n CASE\\n WHEN CAST(\\\"pos\\\" AS INTEGER) = \\\"pos\\\" THEN \\\"lo_value\\\"\\n ELSE \\\"lo_value\\\" + ((\\\"pos\\\" - CAST(\\\"pos\\\" AS INTEGER)) * (\\\"hi_value\\\" - \\\"lo_value\\\"))\\n END AS \\\"percentile_measure\\\"\\nFROM \\\"__percentile_values\\\"\\nWHERE \\\"cnt\\\" >= 5\\nORDER BY \\\"percentile_measure\\\" DESC, \\\"clock_speed\\\" ASC;\",\"notes\":\"Emulates the grouped 95th percentile for \\\"px_height\\\" by \\\"clock_speed\\\" in SQLite using window functions and linear interpolation; numeric TEXT fields are CAST to REAL and groups with fewer than 5 rows are excluded.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15255,"cached_input_tokens":12032,"output_tokens":3830,"reasoning_output_tokens":3060}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7df9e8f5feb9f6b00aa1c3625bc883b0a60522e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_grouped_percentile_point\nWITH \"__ordered\" AS (\n SELECT\n CAST(\"clock_speed\" AS REAL) AS \"clock_speed\",\n CAST(\"px_height\" AS REAL) AS \"px_height\",\n ROW_NUMBER() OVER (\n PARTITION BY CAST(\"clock_speed\" AS REAL)\n ORDER BY CAST(\"px_height\" AS REAL)\n ) AS \"rn\",\n COUNT(*) OVER (\n PARTITION BY CAST(\"clock_speed\" AS REAL)\n ) AS \"cnt\"\n FROM \"m10\"\n WHERE \"clock_speed\" IS NOT NULL\n AND TRIM(\"clock_speed\") <> ''\n AND \"px_height\" IS NOT NULL\n AND TRIM(\"px_height\") <> ''\n),\n\"__positions\" AS (\n SELECT\n \"clock_speed\",\n \"px_height\",\n \"rn\",\n \"cnt\",\n ((0.95 * (\"cnt\" - 1)) + 1.0) AS \"pos\",\n CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) AS \"lo_rn\",\n CASE\n WHEN ((0.95 * (\"cnt\" - 1)) + 1.0) = CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n THEN CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER)\n ELSE CAST(((0.95 * (\"cnt\" - 1)) + 1.0) AS INTEGER) + 1\n END AS \"hi_rn\"\n FROM \"__ordered\"\n),\n\"__percentile_inputs\" AS (\n SELECT DISTINCT\n \"clock_speed\",\n \"cnt\",\n \"pos\",\n \"lo_rn\",\n \"hi_rn\"\n FROM \"__positions\"\n),\n\"__percentile_values\" AS (\n SELECT\n \"p\".\"clock_speed\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"lo_rn\" THEN \"o\".\"px_height\" END) AS \"lo_value\",\n MAX(CASE WHEN \"o\".\"rn\" = \"p\".\"hi_rn\" THEN \"o\".\"px_height\" END) AS \"hi_value\",\n MAX(\"p\".\"pos\") AS \"pos\",\n MAX(\"p\".\"cnt\") AS \"cnt\"\n FROM \"__percentile_inputs\" AS \"p\"\n JOIN \"__ordered\" AS \"o\"\n ON \"o\".\"clock_speed\" = \"p\".\"clock_speed\"\n GROUP BY \"p\".\"clock_speed\"\n)\nSELECT\n \"clock_speed\",\n CASE\n WHEN CAST(\"pos\" AS INTEGER) = \"pos\" THEN \"lo_value\"\n ELSE \"lo_value\" + ((\"pos\" - CAST(\"pos\" AS INTEGER)) * (\"hi_value\" - \"lo_value\"))\n END AS \"percentile_measure\"\nFROM \"__percentile_values\"\nWHERE \"cnt\" >= 5\nORDER BY \"percentile_measure\" DESC, \"clock_speed\" ASC;","notes":"Emulates the grouped 95th percentile for \"px_height\" by \"clock_speed\" in SQLite using window functions and linear interpolation; numeric TEXT fields are CAST to REAL and groups with fewer than 5 rows are excluded."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ce949cbb96e18e18/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..73eabc1779c17acbd4f2aff6858e948aff9ed180 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10425, "bytes_utf8": 10425, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 322, "bytes_utf8": 322, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15190, "cached_input_tokens": 12032, "output_tokens": 216, "reasoning_output_tokens": 138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cc3de665921bd20456cdfb631f0e8be16efc9acb --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d08baac91786f59a", + "api_calls": 0, + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 216, + "total_tokens": 15406, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7109.88, + "sql_execution_elapsed_ms_total": 1.49, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..fb0a9715e64cfcc7451191dc7fa69629d368a99c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:32:48.041499+00:00", + "ended_at": "2026-05-19T15:32:55.151416+00:00", + "elapsed_ms": 7109.88, + "prompt_metrics": { + "chars": 10425, + "bytes_utf8": 10425, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 668, + "bytes_utf8": 668, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 322, + "bytes_utf8": 322, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15190, + "cached_input_tokens": 12032, + "output_tokens": 216, + "reasoning_output_tokens": 138 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2bd11a511a023157949b88fc1efa9803f840b16a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_clickbench_group_count", + "template_name": "Grouped Count by Category", + "primary_family": "subgroup_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=clock_speed.", + "planned_template_id": "tpl_clickbench_group_count", + "bindings": { + "group_col": "clock_speed", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, COUNT(*) AS row_count\nFROM {table}\nGROUP BY {group_col}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..b8b5488915ea9e0cf364799de267736dfefaab26 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40de-421e-74d3-aa30-7a27e2c1fdad"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_clickbench_group_count\\nSELECT \\\"clock_speed\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Uses the provided grouped-count template with group_col bound to \\\"clock_speed\\\" to show subgroup size distribution across clock_speed categories.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15190,"cached_input_tokens":12032,"output_tokens":216,"reasoning_output_tokens":138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1bfa823272b1d2de04069d52e119d840685cac32 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"clock_speed\", COUNT(*) AS row_count\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY row_count DESC;","notes":"Uses the provided grouped-count template with group_col bound to \"clock_speed\" to show subgroup size distribution across clock_speed categories."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d08baac91786f59a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c1aed3f303d2967d2c823e81c3801820f3da5304 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10683, "bytes_utf8": 10683, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 538, "bytes_utf8": 538, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15271, "cached_input_tokens": 12032, "output_tokens": 569, "reasoning_output_tokens": 414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..92f1c0a0ebc9cb64059f1f2304abd4ec2f59c513 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d389a5b638843610", + "api_calls": 0, + "input_tokens": 15271, + "cached_input_tokens": 12032, + "output_tokens": 569, + "total_tokens": 15840, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 40085.64, + "sql_execution_elapsed_ms_total": 3.75, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..73f1005c53728bad08ac9ed93e7fc995e2f3581a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:44:07.400840+00:00", + "ended_at": "2026-05-19T15:44:47.486505+00:00", + "elapsed_ms": 40085.64, + "prompt_metrics": { + "chars": 10683, + "bytes_utf8": 10683, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 3915, + "bytes_utf8": 3915, + "lines": 13, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 538, + "bytes_utf8": 538, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15271, + "cached_input_tokens": 12032, + "output_tokens": 569, + "reasoning_output_tokens": 414 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8af05c30e86a668c8020186866d2e05367f3e9d3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_quantile_tail_slice", + "template_name": "Quantile Tail Slice", + "primary_family": "tail_rarity_structure", + "portability": "partial", + "sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Quantile Tail Slice to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=px_width.", + "planned_template_id": "tpl_m4_quantile_tail_slice", + "bindings": { + "measure_col": "px_width", + "top_k": 14, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "WITH buckets AS (\n SELECT {measure_col},\n NTILE({num_tiles}) OVER (ORDER BY {measure_col} DESC) AS tail_bucket\n FROM {table}\n)\nSELECT {measure_col}\nFROM buckets\nWHERE tail_bucket = 1\nORDER BY {measure_col} DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..3155287463d666f8eec54fd11c8105a2ca59cd70 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,13 @@ +{"type":"thread.started","thread_id":"019e40e8-9fe5-78e1-8f13-8c2ebc41b98a"} +{"type":"turn.started"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15906. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1987594, Requested 15906. Please try again in 105ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985890, Requested 15906. Please try again in 53ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1993134, Requested 15906. Please try again in 271ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 1/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1986903, Requested 15906. Please try again in 84ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 2/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15906. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 3/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15906. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 4/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 2000000, Requested 15906. Please try again in 477ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"error","message":"Reconnecting... 5/5 (stream disconnected before completion: Rate limit reached for gpt-5.4 in organization org-yXK0mBGOR7eXhtGEx8v7e3bf on tokens per min (TPM): Limit 2000000, Used 1985629, Requested 15906. Please try again in 46ms. Visit https://platform.openai.com/account/rate-limits to learn more.)"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_quantile_tail_slice\\nWITH \\\"buckets\\\" AS (\\n SELECT CAST(\\\"px_width\\\" AS REAL) AS \\\"px_width\\\",\\n NTILE(10) OVER (ORDER BY CAST(\\\"px_width\\\" AS REAL) DESC) AS \\\"tail_bucket\\\"\\n FROM \\\"m10\\\"\\n)\\nSELECT \\\"px_width\\\"\\nFROM \\\"buckets\\\"\\nWHERE \\\"tail_bucket\\\" = 1\\nORDER BY \\\"px_width\\\" DESC;\",\"notes\":\"Applied the Quantile Tail Slice template with measure_col bound to \\\"px_width\\\" and num_tiles fixed at 10. Cast \\\"px_width\\\" to REAL because the SQLite schema stores numeric-looking values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15271,"cached_input_tokens":12032,"output_tokens":569,"reasoning_output_tokens":414}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6c72161d44f60cacfc5bb75cd74bcc15923eee9f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_quantile_tail_slice\nWITH \"buckets\" AS (\n SELECT CAST(\"px_width\" AS REAL) AS \"px_width\",\n NTILE(10) OVER (ORDER BY CAST(\"px_width\" AS REAL) DESC) AS \"tail_bucket\"\n FROM \"m10\"\n)\nSELECT \"px_width\"\nFROM \"buckets\"\nWHERE \"tail_bucket\" = 1\nORDER BY \"px_width\" DESC;","notes":"Applied the Quantile Tail Slice template with measure_col bound to \"px_width\" and num_tiles fixed at 10. Cast \"px_width\" to REAL because the SQLite schema stores numeric-looking values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d389a5b638843610/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..54e482ddfe9958cba8c505c3f0348a8dae75ef19 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10490, "bytes_utf8": 10490, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 377, "bytes_utf8": 377, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15214, "cached_input_tokens": 12032, "output_tokens": 498, "reasoning_output_tokens": 395}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..384db6051aaec89956145d9f7ec2f40f5c972e36 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d3cbeaf13573896a", + "api_calls": 0, + "input_tokens": 15214, + "cached_input_tokens": 12032, + "output_tokens": 498, + "total_tokens": 15712, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 11149.53, + "sql_execution_elapsed_ms_total": 2.93, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..773b8f8a61f04a98c843e62a2b03e8b524bad83a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:20.238684+00:00", + "ended_at": "2026-05-19T15:29:31.388247+00:00", + "elapsed_ms": 11149.53, + "prompt_metrics": { + "chars": 10490, + "bytes_utf8": 10490, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 735, + "bytes_utf8": 735, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 377, + "bytes_utf8": 377, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15214, + "cached_input_tokens": 12032, + "output_tokens": 498, + "reasoning_output_tokens": 395 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d0fad529f1076415b2290694d121e8d1a3ec9e4b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=fc, measure_col=m_dep.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "fc", + "measure_col": "m_dep", + "top_k": 13, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 0.8, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8e5937901caf6c0ebf5a31e36e229afae5a1755 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-1669-7b41-b512-8fc4d0ab7747"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"fc\\\", SUM(CAST(\\\"m_dep\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"fc\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the planned Grouped Numeric Sum template with \\\"fc\\\" as the grouping column and \\\"m_dep\\\" as the measure. Cast \\\"m_dep\\\" to REAL because the schema snapshot stores numeric-looking fields as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15214,"cached_input_tokens":12032,"output_tokens":498,"reasoning_output_tokens":395}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99a887cf7c5a166896647c99ea9e13d017e64d80 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"fc\", SUM(CAST(\"m_dep\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"fc\"\nORDER BY total_measure DESC;","notes":"Used the planned Grouped Numeric Sum template with \"fc\" as the grouping column and \"m_dep\" as the measure. Cast \"m_dep\" to REAL because the schema snapshot stores numeric-looking fields as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d3cbeaf13573896a/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..026fe337ba0368786df65806fb45e986371315b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10900, "bytes_utf8": 10900, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 551, "bytes_utf8": 551, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15333, "cached_input_tokens": 12032, "output_tokens": 350, "reasoning_output_tokens": 190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..dbc34c607e10df428cc6010b13708168befb1fcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_d6de0783288ba760", + "api_calls": 0, + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 350, + "total_tokens": 15683, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9227.11, + "sql_execution_elapsed_ms_total": 5.42, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1222a58e24e570b91435a7e40b8fe502e85f4b02 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:36:44.436599+00:00", + "ended_at": "2026-05-19T15:36:53.663742+00:00", + "elapsed_ms": 9227.11, + "prompt_metrics": { + "chars": 10900, + "bytes_utf8": 10900, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 931, + "bytes_utf8": 931, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 551, + "bytes_utf8": 551, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15333, + "cached_input_tokens": 12032, + "output_tokens": 350, + "reasoning_output_tokens": 190 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e6c487a598b79854f753b5aa15b64a88d349d535 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=blue, measure_col=fc.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "blue", + "measure_col": "fc", + "item_col": "mobile_wt", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..fa9eeb4cedd581375bf02e6455338ed7dc66f7e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e1-ddcc-7ae1-934a-bdaf4bb73292"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"blue\\\", \\\"mobile_wt\\\",\\n SUM(CAST(\\\"fc\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"fc\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"fc\\\" AS REAL))) OVER (PARTITION BY \\\"blue\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"blue\\\", \\\"mobile_wt\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned Within-Group Share of Total template with group_col=\\\"blue\\\", item_col=\\\"mobile_wt\\\", and measure_col=\\\"fc\\\". CAST to REAL is used because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15333,"cached_input_tokens":12032,"output_tokens":350,"reasoning_output_tokens":190}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b929725986550aee0c8891c2463012b4b601e08e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"blue\", \"mobile_wt\",\n SUM(CAST(\"fc\" AS REAL)) AS total_measure,\n SUM(CAST(\"fc\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"fc\" AS REAL))) OVER (PARTITION BY \"blue\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"blue\", \"mobile_wt\"\nORDER BY share_within_group DESC;","notes":"Applied the planned Within-Group Share of Total template with group_col=\"blue\", item_col=\"mobile_wt\", and measure_col=\"fc\". CAST to REAL is used because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_d6de0783288ba760/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..02415d449c5b34e0fca28dd85a194d64790c352b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10814, "bytes_utf8": 10814, "lines": 352, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 453, "bytes_utf8": 453, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15315, "cached_input_tokens": 14720, "output_tokens": 347, "reasoning_output_tokens": 213}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..4a9af36c1c2fe4c20156a248123f4a966ded0333 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dc1e7d9dc1770941", + "api_calls": 0, + "input_tokens": 15315, + "cached_input_tokens": 14720, + "output_tokens": 347, + "total_tokens": 15662, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 14532.36, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1f146edec0d8dcee833012ef3b0aad516b192bda --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:41:27.891127+00:00", + "ended_at": "2026-05-19T15:41:42.423521+00:00", + "elapsed_ms": 14532.36, + "prompt_metrics": { + "chars": 10814, + "bytes_utf8": 10814, + "lines": 352, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 820, + "bytes_utf8": 820, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 453, + "bytes_utf8": 453, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15315, + "cached_input_tokens": 14720, + "output_tokens": 347, + "reasoning_output_tokens": 213 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..82106590ace005b6f2f5cb5aa552d71449c49263 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,352 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_c2_filtered_group_count_2d", + "template_name": "Filtered Two-Dimensional Group Count", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;", + "required_roles": [ + "group_col", + "group_col_2", + "predicate_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Filtered Two-Dimensional Group Count to probe slice_level_consistency with semantic role count_distribution. Focus on group_col=four_g, group_col_2=n_cores.", + "planned_template_id": "tpl_c2_filtered_group_count_2d", + "bindings": { + "group_col": "four_g", + "group_col_2": "n_cores", + "predicate_col": "n_cores", + "predicate_op": ">=", + "predicate_value": 7.0, + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {group_col_2}, COUNT(*) AS row_count\nFROM {table}\nWHERE {predicate_col} {predicate_op} {predicate_value}\nGROUP BY {group_col}, {group_col_2}\nORDER BY row_count DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..ec464d5965585efbae93f4dc77447ad71a489fd6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e6-30e5-7000-8b38-3201c152681d"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_c2_filtered_group_count_2d\\nSELECT \\\"four_g\\\", \\\"n_cores\\\", COUNT(*) AS row_count\\nFROM \\\"m10\\\"\\nWHERE CAST(\\\"n_cores\\\" AS REAL) >= 7.0\\nGROUP BY \\\"four_g\\\", \\\"n_cores\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Used the specified filtered two-dimensional group count template with group_col=\\\"four_g\\\", group_col_2=\\\"n_cores\\\", and predicate on \\\"n_cores\\\" >= 7.0. Applied CAST to REAL because the schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15315,"cached_input_tokens":14720,"output_tokens":347,"reasoning_output_tokens":213}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..69ffbae5c85d4f222d54e01eaeca384838948b51 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_c2_filtered_group_count_2d\nSELECT \"four_g\", \"n_cores\", COUNT(*) AS row_count\nFROM \"m10\"\nWHERE CAST(\"n_cores\" AS REAL) >= 7.0\nGROUP BY \"four_g\", \"n_cores\"\nORDER BY row_count DESC;","notes":"Used the specified filtered two-dimensional group count template with group_col=\"four_g\", group_col_2=\"n_cores\", and predicate on \"n_cores\" >= 7.0. Applied CAST to REAL because the schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc1e7d9dc1770941/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d76f80aadfac7071080c5872a06e3db27cd6856d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10915, "bytes_utf8": 10915, "lines": 350, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 569, "bytes_utf8": 569, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15334, "cached_input_tokens": 14720, "output_tokens": 564, "reasoning_output_tokens": 402}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..cea41f798ac2db180c95c4c3302188f9093daf31 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dc841f451044190b", + "api_calls": 0, + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 564, + "total_tokens": 15898, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12404.89, + "sql_execution_elapsed_ms_total": 7.28, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6172c73ea25416fc6991f7fe54ced4ca2236650a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:37:33.943026+00:00", + "ended_at": "2026-05-19T15:37:46.347954+00:00", + "elapsed_ms": 12404.89, + "prompt_metrics": { + "chars": 10915, + "bytes_utf8": 10915, + "lines": 350, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 949, + "bytes_utf8": 949, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 569, + "bytes_utf8": 569, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15334, + "cached_input_tokens": 14720, + "output_tokens": 564, + "reasoning_output_tokens": 402 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..ef469268e4ecb6aed619727bae12a5278f68d002 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,350 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tpcds_within_group_share", + "template_name": "Within-Group Share of Total", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;", + "required_roles": [ + "group_col", + "item_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=clock_speed, measure_col=m_dep.", + "planned_template_id": "tpl_tpcds_within_group_share", + "bindings": { + "group_col": "clock_speed", + "measure_col": "m_dep", + "item_col": "pc", + "top_k": 16, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 0.7, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, {item_col},\n SUM({measure_col}) AS total_measure,\n SUM({measure_col}) * 100.0 / SUM(SUM({measure_col})) OVER (PARTITION BY {group_col}) AS share_within_group\nFROM {table}\nGROUP BY {group_col}, {item_col}\nORDER BY share_within_group DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..2f006a34abbfa15b2036ae636b79452736bbbb5a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40e2-9ef9-7e42-b2c5-02f5d4cbaf70"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"clock_speed\\\", \\\"pc\\\",\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) AS total_measure,\\n SUM(CAST(\\\"m_dep\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"m_dep\\\" AS REAL))) OVER (PARTITION BY \\\"clock_speed\\\") AS share_within_group\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\", \\\"pc\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the Within-Group Share of Total template with group_col=\\\"clock_speed\\\", item_col=\\\"pc\\\", and measure_col=\\\"m_dep\\\". CAST to REAL is used because the schema stores these columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15334,"cached_input_tokens":14720,"output_tokens":564,"reasoning_output_tokens":402}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..43ca828b674e26135b9785f52e586bd0217e764a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"clock_speed\", \"pc\",\n SUM(CAST(\"m_dep\" AS REAL)) AS total_measure,\n SUM(CAST(\"m_dep\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"m_dep\" AS REAL))) OVER (PARTITION BY \"clock_speed\") AS share_within_group\nFROM \"m10\"\nGROUP BY \"clock_speed\", \"pc\"\nORDER BY share_within_group DESC;","notes":"Applied the Within-Group Share of Total template with group_col=\"clock_speed\", item_col=\"pc\", and measure_col=\"m_dep\". CAST to REAL is used because the schema stores these columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dc841f451044190b/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..1d8922f4315632460cbcc4dade6bfe81fa0f0bc5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10500, "bytes_utf8": 10500, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 12032, "output_tokens": 587, "reasoning_output_tokens": 477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..603e61f0b06b8d82e8f1788a9f45c73797607f22 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_dcbe7d5f9bfe3ca6", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 587, + "total_tokens": 15804, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 12620.9, + "sql_execution_elapsed_ms_total": 1.3, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..693c0f2e13bee0aa21da7dab553e3fd69e5cd8a7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:30:07.599556+00:00", + "ended_at": "2026-05-19T15:30:20.220480+00:00", + "elapsed_ms": 12620.9, + "prompt_metrics": { + "chars": 10500, + "bytes_utf8": 10500, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 735, + "bytes_utf8": 735, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 369, + "bytes_utf8": 369, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15217, + "cached_input_tokens": 12032, + "output_tokens": 587, + "reasoning_output_tokens": 477 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8ed8aff130206181402caff6332748308fdf0745 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=m_dep, measure_col=n_cores.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "m_dep", + "measure_col": "n_cores", + "top_k": 10, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..9169e431c30e3b370f96d8010b14bb3f425f9de1 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40db-cf84-7550-b8b7-194d56822646"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"m_dep\\\", SUM(CAST(\\\"n_cores\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"m_dep\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Uses the provided grouped-sum template with group_col=\\\"m_dep\\\" and measure_col=\\\"n_cores\\\". \\\"n_cores\\\" is cast to NUMERIC because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15217,"cached_input_tokens":12032,"output_tokens":587,"reasoning_output_tokens":477}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..903e87cc36e81ab5b862ba24fe524ef34499a620 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"m_dep\", SUM(CAST(\"n_cores\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"m_dep\"\nORDER BY \"total_measure\" DESC;","notes":"Uses the provided grouped-sum template with group_col=\"m_dep\" and measure_col=\"n_cores\". \"n_cores\" is cast to NUMERIC because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_dcbe7d5f9bfe3ca6/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..4f6325779f8868623629e45f97bde36a95ffac3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10452, "bytes_utf8": 10452, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 355, "bytes_utf8": 355, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15206, "cached_input_tokens": 12032, "output_tokens": 287, "reasoning_output_tokens": 185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..6e9750f74d6ed0b3de5357770b60a4f2d8189299 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_e6a6bf40c91adcc4", + "api_calls": 0, + "input_tokens": 15206, + "cached_input_tokens": 12032, + "output_tokens": 287, + "total_tokens": 15493, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8297.78, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dbb8718df2cf9588c3f3449362bc5ad501ae3f21 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:40.218874+00:00", + "ended_at": "2026-05-19T16:02:48.516688+00:00", + "elapsed_ms": 8297.78, + "prompt_metrics": { + "chars": 10452, + "bytes_utf8": 10452, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 699, + "bytes_utf8": 699, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 355, + "bytes_utf8": 355, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15206, + "cached_input_tokens": 12032, + "output_tokens": 287, + "reasoning_output_tokens": 185 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..22722b6a16cd6fdede6df51111ae0f04f47444e9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=price_range.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "price_range", + "top_k": 11, + "top_n": 6, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.25, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..cb46b2355b9acbeb47fdb50c428084c9f9101ffa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-9af3-7ce0-b3e5-911177f52b34"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"price_range\\\" AS REAL) <= 2.25 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the planned Threshold Rarity CDF template with measure_col bound to \\\"price_range\\\" and threshold 2.25. CAST to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15206,"cached_input_tokens":12032,"output_tokens":287,"reasoning_output_tokens":185}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..c07e20bc5f4cc6b0298ad2f69ae2acd28939ba3c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"price_range\" AS REAL) <= 2.25 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Applied the planned Threshold Rarity CDF template with measure_col bound to \"price_range\" and threshold 2.25. CAST to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_e6a6bf40c91adcc4/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..179887100abef0843e365215836378eb3cf5ac1d --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10497, "bytes_utf8": 10497, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 371, "bytes_utf8": 371, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15215, "cached_input_tokens": 12032, "output_tokens": 242, "reasoning_output_tokens": 138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..e0fd1ea2726ca4e1453eb7fc9822a5bd5e222378 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee0f1046b84da85c", + "api_calls": 0, + "input_tokens": 15215, + "cached_input_tokens": 12032, + "output_tokens": 242, + "total_tokens": 15457, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 8394.1, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..36e3578afafa6c539b4201489370a5f40e594cd2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:29:03.770252+00:00", + "ended_at": "2026-05-19T15:29:12.164385+00:00", + "elapsed_ms": 8394.1, + "prompt_metrics": { + "chars": 10497, + "bytes_utf8": 10497, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 737, + "bytes_utf8": 737, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 371, + "bytes_utf8": 371, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15215, + "cached_input_tokens": 12032, + "output_tokens": 242, + "reasoning_output_tokens": 138 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..8a716b759784699dfdb736c97af0089179e0d216 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=dual_sim, measure_col=fc.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "dual_sim", + "measure_col": "fc", + "top_k": 12, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..0e7d777ff1034a8867d0b6ccfe1437d30ca02f93 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-d616-7882-af92-d06dc8a9d723"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"dual_sim\\\", SUM(CAST(\\\"fc\\\" AS NUMERIC)) AS \\\"total_measure\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"dual_sim\\\"\\nORDER BY \\\"total_measure\\\" DESC;\",\"notes\":\"Applied the provided Grouped Numeric Sum template with group_col=\\\"dual_sim\\\" and measure_col=\\\"fc\\\". Cast \\\"fc\\\" to NUMERIC because the SQLite schema stores columns as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15215,"cached_input_tokens":12032,"output_tokens":242,"reasoning_output_tokens":138}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..2fe5710aa9e7e74e47a37c48f6a954cc562bd123 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"dual_sim\", SUM(CAST(\"fc\" AS NUMERIC)) AS \"total_measure\"\nFROM \"m10\"\nGROUP BY \"dual_sim\"\nORDER BY \"total_measure\" DESC;","notes":"Applied the provided Grouped Numeric Sum template with group_col=\"dual_sim\" and measure_col=\"fc\". Cast \"fc\" to NUMERIC because the SQLite schema stores columns as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee0f1046b84da85c/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..36d80b6128a294d25025b43825312f970c0bd2f0 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/conversation.jsonl @@ -0,0 +1,4 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10488, "bytes_utf8": 10488, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 280, "bytes_utf8": 280, "lines": 4, "estimated_tokens": null}, "usage": {}, "status": "failed", "error": "AI CLI command failed with exit code 1: "} +{"attempt": 2, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_2.txt", "metrics": {"chars": 10488, "bytes_utf8": 10488, "lines": 346, "estimated_tokens": null}} +{"attempt": 2, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_2.txt", "raw_content_path": "cli/sql_response_attempt_2.raw.txt", "stderr_path": "cli/sql_stderr_attempt_2.txt", "metrics": {"chars": 298, "bytes_utf8": 298, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15225, "cached_input_tokens": 12032, "output_tokens": 353, "reasoning_output_tokens": 259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..8eb5a7a6f838f6f093e3c27d21503ed79cc2f2d7 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 2, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee2a4188703e68fe", + "api_calls": 0, + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 353, + "total_tokens": 15578, + "cost_usd": 0.0, + "ai_cli_calls": 2, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 13617.35, + "sql_execution_elapsed_ms_total": 1.13, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..dd903764ca933cdd6f621bec88e8cdfa56c5ad60 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:05:59.447150+00:00", + "ended_at": "2026-05-19T16:06:02.683815+00:00", + "elapsed_ms": 3236.62, + "returncode": 1, + "prompt_metrics": { + "chars": 10488, + "bytes_utf8": 10488, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ff108a04a6dff7a64135d977c1e76b61398ccad --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_attempt_2.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:03.686387+00:00", + "ended_at": "2026-05-19T16:06:14.067151+00:00", + "elapsed_ms": 10380.73, + "prompt_metrics": { + "chars": 10488, + "bytes_utf8": 10488, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 659, + "bytes_utf8": 659, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 298, + "bytes_utf8": 298, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15225, + "cached_input_tokens": 12032, + "output_tokens": 353, + "reasoning_output_tokens": 259 + } + }, + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1e0254415b29cc4bd0bbe1c46c8fa97522a3aba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=pc.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "pc", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..b1e0254415b29cc4bd0bbe1c46c8fa97522a3aba --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role rare_extreme_view. Focus on group_col=pc.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "pc", + "top_k": 17, + "top_n": 7, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..e0db617acb69ec22250ba3d2b4093523044e9baa --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a52b-78f0-8792-83bbf53df39b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6e1a5e067430193458d7f0a04fd394b812e0540f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-a52b-78f0-8792-83bbf53df39b"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..a7f07e81b5d5e84da12fb7e5505f2c9cb9b2e8ed --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fc-b59d-7e12-97bc-7bb10bdeaf39"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tail_low_support_group_count_v2\\nSELECT\\n \\\"pc\\\",\\n COUNT(*) AS \\\"support\\\"\\nFROM \\\"m10\\\"\\nGROUP BY \\\"pc\\\"\\nORDER BY \\\"support\\\" ASC, \\\"pc\\\" ASC\\nLIMIT 17;\",\"notes\":\"Applies the Low-Support Group Count template with group_col bound to \\\"pc\\\" and top_k set to 17.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15225,"cached_input_tokens":12032,"output_tokens":353,"reasoning_output_tokens":259}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d62569c9b2625042efde00d8a3b178ed3afea16 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_response_attempt_2.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_tail_low_support_group_count_v2\nSELECT\n \"pc\",\n COUNT(*) AS \"support\"\nFROM \"m10\"\nGROUP BY \"pc\"\nORDER BY \"support\" ASC, \"pc\" ASC\nLIMIT 17;","notes":"Applies the Low-Support Group Count template with group_col bound to \"pc\" and top_k set to 17."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee2a4188703e68fe/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..c8c6a77f1cefb35b4da262f5e6c7f97884dadda8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10449, "bytes_utf8": 10449, "lines": 346, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 369, "bytes_utf8": 369, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15206, "cached_input_tokens": 12032, "output_tokens": 223, "reasoning_output_tokens": 118}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..40d33a2033700b70751c315ab35d80e3d2df0a8b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ee5c486b12e3c737", + "api_calls": 0, + "input_tokens": 15206, + "cached_input_tokens": 12032, + "output_tokens": 223, + "total_tokens": 15429, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 7576.48, + "sql_execution_elapsed_ms_total": 1.08, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..e099d6ae1e8cbdc24d324402934a79f264dc81bf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:32.635038+00:00", + "ended_at": "2026-05-19T16:02:40.211541+00:00", + "elapsed_ms": 7576.48, + "prompt_metrics": { + "chars": 10449, + "bytes_utf8": 10449, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 713, + "bytes_utf8": 713, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 369, + "bytes_utf8": 369, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15206, + "cached_input_tokens": 12032, + "output_tokens": 223, + "reasoning_output_tokens": 118 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..6f3e38c2c1cc212d919e12f33d4951cc8eccc544 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=talk_time.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "talk_time", + "top_k": 10, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 16.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..63473c9bc836a50da5885e5c418f0c2dc1bfd724 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-7d51-7d23-9700-fe906acfa6a7"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_threshold_rarity_cdf\\nSELECT AVG(CASE WHEN CAST(\\\"talk_time\\\" AS REAL) <= 16.0 THEN 1 ELSE 0 END) AS \\\"empirical_cdf_at_threshold\\\"\\nFROM \\\"m10\\\";\",\"notes\":\"Applied the required Threshold Rarity CDF template with measure_col bound to \\\"talk_time\\\" and measure_threshold fixed at 16.0; cast to REAL because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15206,"cached_input_tokens":12032,"output_tokens":223,"reasoning_output_tokens":118}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..7d1a868596962ec3a3fd2f69229e0c69cc5256ec --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_threshold_rarity_cdf\nSELECT AVG(CASE WHEN CAST(\"talk_time\" AS REAL) <= 16.0 THEN 1 ELSE 0 END) AS \"empirical_cdf_at_threshold\"\nFROM \"m10\";","notes":"Applied the required Threshold Rarity CDF template with measure_col bound to \"talk_time\" and measure_threshold fixed at 16.0; cast to REAL because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ee5c486b12e3c737/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d400dc98f95187c2daa51c7c4619f51e716d9cc2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10761, "bytes_utf8": 10761, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 421, "bytes_utf8": 421, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15278, "cached_input_tokens": 12032, "output_tokens": 331, "reasoning_output_tokens": 218}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..fbbb3c04c5994545c9e4c7e35a822cad9ceb8894 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_ef1b226b0ee72a0f", + "api_calls": 0, + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 331, + "total_tokens": 15609, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 9988.69, + "sql_execution_elapsed_ms_total": 1.73, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8e629fc32d3625cedb1787be2451658356f802be --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:02:05.260785+00:00", + "ended_at": "2026-05-19T16:02:15.249501+00:00", + "elapsed_ms": 9988.69, + "prompt_metrics": { + "chars": 10761, + "bytes_utf8": 10761, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 776, + "bytes_utf8": 776, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 421, + "bytes_utf8": 421, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15278, + "cached_input_tokens": 12032, + "output_tokens": 331, + "reasoning_output_tokens": 218 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..786817a6e209b31e5669f5f057ce0ec68e9702c6 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=price_range, condition_col=three_g.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "price_range", + "condition_col": "three_g", + "condition_value": "0", + "positive_value": "1", + "negative_value": "0", + "top_k": 19, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.05, + "baseline_multiplier": 1.75, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 4, + "measure_threshold": 15.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..77e07d9395ba85246795cef3ecc81db41922c3f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f9-124e-7db0-92a2-9eb4cf3bdc72"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"price_range\\\",\\n AVG(CASE WHEN \\\"three_g\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"price_range\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Applies the grouped condition rate template with group_col=\\\"price_range\\\" and condition_col=\\\"three_g\\\", measuring the share of rows where three_g = '0' within each price_range group.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15278,"cached_input_tokens":12032,"output_tokens":331,"reasoning_output_tokens":218}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..fff8bd631672dd011ce65c0a877bb2ed0fe15e0c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"price_range\",\n AVG(CASE WHEN \"three_g\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"price_range\"\nORDER BY condition_rate DESC;","notes":"Applies the grouped condition rate template with group_col=\"price_range\" and condition_col=\"three_g\", measuring the share of rows where three_g = '0' within each price_range group."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_ef1b226b0ee72a0f/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..d42affa23577df1aff2184c46e28b2b95785fbc3 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10753, "bytes_utf8": 10753, "lines": 351, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 441, "bytes_utf8": 441, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15277, "cached_input_tokens": 12032, "output_tokens": 346, "reasoning_output_tokens": 229}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..9c1bebc754e005338adb822417b45569c54bff3b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_efcbe287a0cfe87e", + "api_calls": 0, + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 346, + "total_tokens": 15623, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10447.85, + "sql_execution_elapsed_ms_total": 1.24, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..56b11597a47520de407b0845f8c37f5b0c6eec6c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:00:40.788491+00:00", + "ended_at": "2026-05-19T16:00:51.236364+00:00", + "elapsed_ms": 10447.85, + "prompt_metrics": { + "chars": 10753, + "bytes_utf8": 10753, + "lines": 351, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 796, + "bytes_utf8": 796, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 441, + "bytes_utf8": 441, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15277, + "cached_input_tokens": 12032, + "output_tokens": 346, + "reasoning_output_tokens": 229 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..d726595536298a090c65cc8e344ff8f5ebb5eca8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,351 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_group_condition_rate", + "template_name": "Grouped Condition Rate", + "primary_family": "conditional_dependency_structure", + "portability": "yes", + "sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;", + "required_roles": [ + "group_col", + "condition_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Condition Rate to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=talk_time, condition_col=blue.", + "planned_template_id": "tpl_m4_group_condition_rate", + "bindings": { + "group_col": "talk_time", + "condition_col": "blue", + "condition_value": "0", + "positive_value": "0", + "negative_value": "1", + "top_k": 10, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 7.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col},\n AVG(CASE WHEN {condition_col} = {condition_value} THEN 1 ELSE 0 END) AS condition_rate\nFROM {table}\nGROUP BY {group_col}\nORDER BY condition_rate DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..c61fcca077fdac53b8cb4b4273e8c4c88a451165 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40f7-c86f-7e93-83ee-0cdb7613c371"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_group_condition_rate\\nSELECT \\\"talk_time\\\",\\n AVG(CASE WHEN \\\"blue\\\" = '0' THEN 1 ELSE 0 END) AS condition_rate\\nFROM \\\"m10\\\"\\nGROUP BY \\\"talk_time\\\"\\nORDER BY condition_rate DESC;\",\"notes\":\"Uses the planned Grouped Condition Rate template with group_col=\\\"talk_time\\\" and condition_col=\\\"blue\\\". Since the schema stores values as TEXT, the binary condition value is compared as the string literal '0'.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15277,"cached_input_tokens":12032,"output_tokens":346,"reasoning_output_tokens":229}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..99b961d6f955de01bc1682766d7bcdc26aea7bcf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_m4_group_condition_rate\nSELECT \"talk_time\",\n AVG(CASE WHEN \"blue\" = '0' THEN 1 ELSE 0 END) AS condition_rate\nFROM \"m10\"\nGROUP BY \"talk_time\"\nORDER BY condition_rate DESC;","notes":"Uses the planned Grouped Condition Rate template with group_col=\"talk_time\" and condition_col=\"blue\". Since the schema stores values as TEXT, the binary condition value is compared as the string literal '0'."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_efcbe287a0cfe87e/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..2ab625873873b33bdcfab04e9466c2b4842acf2f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:24.855355+00:00", + "ended_at": "2026-05-19T16:03:28.785473+00:00", + "elapsed_ms": 3930.1, + "returncode": 1, + "prompt_metrics": { + "chars": 10450, + "bytes_utf8": 10450, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..6be97c0e5b5dac88393d72ee7be8ee6e91cd4693 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:29.787614+00:00", + "ended_at": "2026-05-19T16:03:32.693114+00:00", + "elapsed_ms": 2905.47, + "returncode": 1, + "prompt_metrics": { + "chars": 10450, + "bytes_utf8": 10450, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..1dc588375fdf57a7a4f5e8d7475e3aa33cf64d4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=mobile_wt.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "mobile_wt", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..1dc588375fdf57a7a4f5e8d7475e3aa33cf64d4f --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_threshold_rarity_cdf", + "template_name": "Threshold Rarity CDF", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};", + "required_roles": [ + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Threshold Rarity CDF to probe tail_set_consistency with semantic role rare_extreme_view. Focus on measure_col=mobile_wt.", + "planned_template_id": "tpl_threshold_rarity_cdf", + "bindings": { + "measure_col": "mobile_wt", + "top_k": 11, + "top_n": 3, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 170.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT AVG(CASE WHEN {measure_col} <= {measure_threshold} THEN 1 ELSE 0 END) AS empirical_cdf_at_threshold\nFROM {table};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..79f98c002833d2cecdcd9018b440db2a4ee9bf9e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4938-7812-aa9f-d59ff01eaae9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..63d40c1c180fac7504e1e6a9e1cc96ce238d26b2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-4938-7812-aa9f-d59ff01eaae9"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..5e2b192be6334a8c4171bc8ed7024ac17ba687f4 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5c80-7310-86c8-22ac47b0a1ae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ace53af0e707acfac4a28f43486200274379ba01 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-5c80-7310-86c8-22ac47b0a1ae"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f436dba4fa34b3da/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..524327af7a8b2e930cf01cc61740bb5c6dc7ebf2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:43.067840+00:00", + "ended_at": "2026-05-19T16:06:46.378198+00:00", + "elapsed_ms": 3310.33, + "returncode": 1, + "prompt_metrics": { + "chars": 10604, + "bytes_utf8": 10604, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..8a5f246f711d62eb5574c7d8fea8096c5d80b38e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:06:47.380678+00:00", + "ended_at": "2026-05-19T16:06:50.587231+00:00", + "elapsed_ms": 3206.5, + "returncode": 1, + "prompt_metrics": { + "chars": 10604, + "bytes_utf8": 10604, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..9086b7dcd2da848b9a638b08d2e424f3e5b46e1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=price_range, measure_col=px_width.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "price_range", + "measure_col": "px_width", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..9086b7dcd2da848b9a638b08d2e424f3e5b46e1c --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_m4_window_partition_avg", + "template_name": "Window Partition Average", + "primary_family": "conditional_dependency_structure", + "portability": "partial", + "sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Window Partition Average to probe slice_level_consistency with semantic role filtered_stable_view. Focus on group_col=price_range, measure_col=px_width.", + "planned_template_id": "tpl_m4_window_partition_avg", + "bindings": { + "group_col": "price_range", + "measure_col": "px_width", + "top_k": 14, + "top_n": 5, + "num_tiles": 10, + "percentile_value": 0.95, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 1633.0, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT DISTINCT {group_col},\n AVG({measure_col}) OVER (PARTITION BY {group_col}) AS avg_measure\nFROM {table}\nORDER BY avg_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..f146cac170ee122958154275db25c6bdf0ca24cf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-4f93-7331-9063-5025bbf19021"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..626e8860a5f2791cce8de7a9d50d5a5d4ea47d44 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-4f93-7331-9063-5025bbf19021"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..157b8e91f4fd05f3cd09e006c2c68755da546afd --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-605a-7d62-83b3-d726414ee62f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..ea7a4c05c9e5944d24bd6aec8321b1466e44a56b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fd-605a-7d62-83b3-d726414ee62f"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f77b605cdada1a97/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/conversation.jsonl b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/conversation.jsonl new file mode 100644 index 0000000000000000000000000000000000000000..0d2d03cffb082fea9cbb0419f0f554ca70d4ca08 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/conversation.jsonl @@ -0,0 +1,2 @@ +{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 10520, "bytes_utf8": 10520, "lines": 348, "estimated_tokens": null}} +{"attempt": 1, "phase": "sql_generation", "role": "assistant", "content_path": "cli/sql_response_attempt_1.txt", "raw_content_path": "cli/sql_response_attempt_1.raw.txt", "stderr_path": "cli/sql_stderr_attempt_1.txt", "metrics": {"chars": 370, "bytes_utf8": 370, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 15217, "cached_input_tokens": 0, "output_tokens": 365, "reasoning_output_tokens": 268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/session_summary.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/session_summary.json new file mode 100644 index 0000000000000000000000000000000000000000..0c18bdca1970df0c9f010ff00c3a58156d33ecb9 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/session_summary.json @@ -0,0 +1,25 @@ +{ + "engine": "v2-cli:codex", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "ai_cli_calls": 1, + "usage_summary": { + "dataset_id": "m10", + "model": "v2-cli:codex", + "run_id": "v2q_m10_f8fb2f4a85e98d60", + "api_calls": 0, + "input_tokens": 15217, + "cached_input_tokens": 0, + "output_tokens": 365, + "total_tokens": 15582, + "cost_usd": 0.0, + "ai_cli_calls": 1, + "estimated_input_tokens": 0, + "estimated_output_tokens": 0, + "estimated_total_tokens": 0, + "usage_source": "ai_cli_json_usage", + "cli_elapsed_ms_total": 10289.16, + "sql_execution_elapsed_ms_total": 2.9, + "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/conversation.jsonl", + "note": "Executed through a local AI CLI with structured usage metadata." + } +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..1238bcb34296a288cdf3a849f5f95984c290ac97 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_attempt_1.metadata.json @@ -0,0 +1,45 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T15:28:38.356132+00:00", + "ended_at": "2026-05-19T15:28:48.645325+00:00", + "elapsed_ms": 10289.16, + "prompt_metrics": { + "chars": 10520, + "bytes_utf8": 10520, + "lines": 348, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 720, + "bytes_utf8": 720, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 370, + "bytes_utf8": 370, + "lines": 1, + "estimated_tokens": null + }, + "usage": { + "input_tokens": 15217, + "cached_input_tokens": 0, + "output_tokens": 365, + "reasoning_output_tokens": 268 + } + }, + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..a888803c68059f5cf6b99b36d787dc7f66cdeb8a --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,348 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_h2o_group_sum", + "template_name": "Grouped Numeric Sum", + "primary_family": "subgroup_structure", + "portability": "partial", + "sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;", + "required_roles": [ + "group_col", + "measure_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=clock_speed, measure_col=clock_speed.", + "planned_template_id": "tpl_h2o_group_sum", + "bindings": { + "group_col": "clock_speed", + "measure_col": "clock_speed", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 2.2, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT {group_col}, SUM({measure_col}) AS total_measure\nFROM {table}\nGROUP BY {group_col}\nORDER BY total_measure DESC;" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..d8248ed48ac970d8668df8df5e5c94dbab612cbf --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40da-72e1-7323-b957-24893853b2a1"} +{"type":"turn.started"} +{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"clock_speed\\\", SUM(CAST(\\\"clock_speed\\\" AS REAL)) AS total_measure\\nFROM \\\"m10\\\"\\nGROUP BY \\\"clock_speed\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Used the required grouped-sum template with group_col=\\\"clock_speed\\\" and measure_col=\\\"clock_speed\\\". CAST to REAL is included because the schema stores values as TEXT.\"}"}} +{"type":"turn.completed","usage":{"input_tokens":15217,"cached_input_tokens":0,"output_tokens":365,"reasoning_output_tokens":268}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..f66a9191fcb74896a2c306bf97068c6a8a5ec9d5 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_response_attempt_1.txt @@ -0,0 +1 @@ +{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"clock_speed\", SUM(CAST(\"clock_speed\" AS REAL)) AS total_measure\nFROM \"m10\"\nGROUP BY \"clock_speed\"\nORDER BY total_measure DESC;","notes":"Used the required grouped-sum template with group_col=\"clock_speed\" and measure_col=\"clock_speed\". CAST to REAL is included because the schema stores values as TEXT."} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_f8fb2f4a85e98d60/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_attempt_1.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_attempt_1.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..9d9c06a9e1c25141c4d40b76fe31f620d92da428 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_attempt_1.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 1, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:48.907712+00:00", + "ended_at": "2026-05-19T16:03:51.762039+00:00", + "elapsed_ms": 2854.26, + "returncode": 1, + "prompt_metrics": { + "chars": 10507, + "bytes_utf8": 10507, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_1.txt", + "response_path": "cli/sql_response_attempt_1.txt", + "raw_response_path": "cli/sql_response_attempt_1.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_1.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_attempt_2.metadata.json b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_attempt_2.metadata.json new file mode 100644 index 0000000000000000000000000000000000000000..351d3cde58f24eebe652d11a9c10dda10ad76131 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_attempt_2.metadata.json @@ -0,0 +1,43 @@ +{ + "attempt": 2, + "phase": "sql_generation", + "command": "codex exec --skip-git-repo-check --disable plugins --sandbox read-only --cd \"/data/jialinzhang/SQLagent\" -m gpt-5.4 --json -", + "started_at": "2026-05-19T16:03:52.764922+00:00", + "ended_at": "2026-05-19T16:03:57.394930+00:00", + "elapsed_ms": 4629.96, + "returncode": 1, + "prompt_metrics": { + "chars": 10507, + "bytes_utf8": 10507, + "lines": 346, + "estimated_tokens": null + }, + "stdout_metrics": { + "chars": 281, + "bytes_utf8": 281, + "lines": 4, + "estimated_tokens": null + }, + "stderr_metrics": { + "chars": 0, + "bytes_utf8": 0, + "lines": 0, + "estimated_tokens": null + }, + "parsed_output": { + "format": "jsonl_events", + "text_metrics": { + "chars": 280, + "bytes_utf8": 280, + "lines": 4, + "estimated_tokens": null + }, + "usage": {} + }, + "status": "failed", + "error": "AI CLI command failed with exit code 1: ", + "prompt_path": "cli/sql_prompt_attempt_2.txt", + "response_path": "cli/sql_response_attempt_2.txt", + "raw_response_path": "cli/sql_response_attempt_2.raw.txt", + "stderr_path": "cli/sql_stderr_attempt_2.txt" +} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_prompt_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_prompt_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..31ed940e67577c81f2e8de711b79e8e04a0d02f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_prompt_attempt_1.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=clock_speed.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "clock_speed", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_prompt_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_prompt_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..31ed940e67577c81f2e8de711b79e8e04a0d02f2 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_prompt_attempt_2.txt @@ -0,0 +1,346 @@ +You are generating one SQLite SELECT query for a single-table SQL QA task. +Return strict JSON only, with this schema: {"sql": "...", "notes": "..."}. +Rules: +- Use only the provided table and columns. +- Do not write INSERT, UPDATE, DELETE, DROP, ALTER, CREATE, PRAGMA, ATTACH, DETACH, or VACUUM. +- Prefer the planned template and bound roles when provided. +- Add a leading SQL comment exactly like: -- template_id: . +- Generate SQLite-compatible SQL. SQLite does not support PERCENTILE_CONT or STDDEV. +- Quote identifiers with double quotes. +- Return no markdown and no extra prose. + +Dataset context: +Dataset context for SQL QA: +- dataset_id: m10 +- dataset_name: Mobile Price Classification +- table_name: m10 +- table_layout: single-table dataset (do not assume joins). +- row_semantics: One row is one tabular observation with 20 feature columns and target `int_memory`. +- task_type: regression +- target_column: int_memory +- main_row_count: 2000 +- important_fields: +- battery_power: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for battery power. +- blue: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for blue. +- clock_speed: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for clock speed. +- dual_sim: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for dual sim. +- fc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for fc. +- four_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for four g. +- int_memory: role=target, type=numeric_target. tags=['condition_candidate', 'target_candidate'] desc=Target field for int memory. +- m_dep: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for m dep. +- mobile_wt: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for mobile wt. +- n_cores: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for n cores. +- pc: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for pc. +- px_height: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px height. +- px_width: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for px width. +- ram: role=feature, type=numeric. tags=['condition_candidate', 'measure', 'high_cardinality_candidate'] desc=Numeric field for ram. +- sc_h: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc h. +- sc_w: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for sc w. +- talk_time: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for talk time. +- three_g: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for three g. +- touch_screen: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for touch screen. +- wifi: role=feature, type=categorical_binary. tags=['subgroup_candidate', 'condition_candidate'] desc=Categorical field for wifi. +- price_range: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for price range. +- useful_field_combinations: [['blue', 'clock_speed', 'int_memory'], ['blue', 'battery_power', 'int_memory'], ['battery_power', 'blue', 'int_memory']] +- fields_requiring_caution: ['int_memory', 'battery_power', 'mobile_wt', 'px_height'] +- source_url: https://www.kaggle.com/datasets/iabhishekofficial/mobile-price-classification + +SQLite schema snapshot: +{ + "table_name": "m10", + "quoted_table_name": "\"m10\"", + "row_count": 2000, + "columns": [ + { + "name": "battery_power", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "blue", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "clock_speed", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "dual_sim", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "fc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "four_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "int_memory", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "m_dep", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "mobile_wt", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "n_cores", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "pc", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_height", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "px_width", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "ram", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_h", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "sc_w", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "talk_time", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "three_g", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "touch_screen", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "wifi", + "type": "TEXT", + "notnull": false, + "pk": false + }, + { + "name": "price_range", + "type": "TEXT", + "notnull": false, + "pk": false + } + ], + "sample_rows": [ + { + "battery_power": "842", + "blue": "0", + "clock_speed": "2.2", + "dual_sim": "0", + "fc": "1", + "four_g": "0", + "int_memory": "7", + "m_dep": "0.6", + "mobile_wt": "188", + "n_cores": "2", + "pc": "2", + "px_height": "20", + "px_width": "756", + "ram": "2549", + "sc_h": "9", + "sc_w": "7", + "talk_time": "19", + "three_g": "0", + "touch_screen": "0", + "wifi": "1", + "price_range": "1" + }, + { + "battery_power": "1021", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "0", + "four_g": "1", + "int_memory": "53", + "m_dep": "0.7", + "mobile_wt": "136", + "n_cores": "3", + "pc": "6", + "px_height": "905", + "px_width": "1988", + "ram": "2631", + "sc_h": "17", + "sc_w": "3", + "talk_time": "7", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "563", + "blue": "1", + "clock_speed": "0.5", + "dual_sim": "1", + "fc": "2", + "four_g": "1", + "int_memory": "41", + "m_dep": "0.9", + "mobile_wt": "145", + "n_cores": "5", + "pc": "6", + "px_height": "1263", + "px_width": "1716", + "ram": "2603", + "sc_h": "11", + "sc_w": "2", + "talk_time": "9", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "615", + "blue": "1", + "clock_speed": "2.5", + "dual_sim": "0", + "fc": "0", + "four_g": "0", + "int_memory": "10", + "m_dep": "0.8", + "mobile_wt": "131", + "n_cores": "6", + "pc": "9", + "px_height": "1216", + "px_width": "1786", + "ram": "2769", + "sc_h": "16", + "sc_w": "8", + "talk_time": "11", + "three_g": "1", + "touch_screen": "0", + "wifi": "0", + "price_range": "2" + }, + { + "battery_power": "1821", + "blue": "1", + "clock_speed": "1.2", + "dual_sim": "0", + "fc": "13", + "four_g": "1", + "int_memory": "44", + "m_dep": "0.6", + "mobile_wt": "141", + "n_cores": "2", + "pc": "14", + "px_height": "1208", + "px_width": "1212", + "ram": "1411", + "sc_h": "8", + "sc_w": "2", + "talk_time": "15", + "three_g": "1", + "touch_screen": "1", + "wifi": "0", + "price_range": "1" + } + ] +} + +Shortlisted templates: +[ + { + "template_id": "tpl_tail_low_support_group_count_v2", + "template_name": "Low-Support Group Count", + "primary_family": "tail_rarity_structure", + "portability": "yes", + "sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};", + "required_roles": [ + "group_col" + ] + } +] + +Problem instance: +{ + "dataset_id": "m10", + "question": "Use template Low-Support Group Count to probe tail_mass_similarity with semantic role count_distribution. Focus on group_col=clock_speed.", + "planned_template_id": "tpl_tail_low_support_group_count_v2", + "bindings": { + "group_col": "clock_speed", + "top_k": 11, + "top_n": 4, + "num_tiles": 10, + "percentile_value": 0.9, + "z_threshold": 2.0, + "fraction_threshold": 0.1, + "baseline_multiplier": 1.5, + "baseline_fraction": 0.1, + "min_group_size": 5, + "min_support": 5, + "measure_threshold": 3064.5, + "time_grain": "month", + "lookback_rows": 3, + "current_period_start": "'2024-01-01'", + "current_period_end": "'2024-04-01'", + "previous_period_start": "'2023-10-01'", + "previous_period_end": "'2024-01-01'", + "drift_ratio_threshold": 0.8 + }, + "can_vary": [], + "must_fix": [], + "runtime_sql_skeleton": "SELECT\n {group_col},\n COUNT(*) AS support\nFROM {table}\nGROUP BY {group_col}\nORDER BY support ASC, {group_col}\nLIMIT {top_k};" +} + +Repair context: +{} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_1.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_1.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..29ff9afc42d1a3bd2ca670f0c7a5e776f4226a09 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_1.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-a75b-7d93-9333-bda6a46fd9a0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..033410e9590d5dc011e7ed51cb665094c7ece8e8 --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_1.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-a75b-7d93-9333-bda6a46fd9a0"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_2.raw.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_2.raw.txt new file mode 100644 index 0000000000000000000000000000000000000000..8102523a9cdb55d6cb6754bf6bb5ba9511b7e35b --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_2.raw.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b663-72c2-82c8-f8ad4e2e038c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..cbbec57e1c498b0829f63f8c5fc24c9ba5e6397e --- /dev/null +++ b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_response_attempt_2.txt @@ -0,0 +1,4 @@ +{"type":"thread.started","thread_id":"019e40fa-b663-72c2-82c8-f8ad4e2e038c"} +{"type":"turn.started"} +{"type":"error","message":"Quota exceeded. Check your plan and billing details."} +{"type":"turn.failed","error":{"message":"Quota exceeded. Check your plan and billing details."}} \ No newline at end of file diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_stderr_attempt_1.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_stderr_attempt_1.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391 diff --git a/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_stderr_attempt_2.txt b/Query/sql/v2/runs/v2_cli_20260502_081223_b/m10/artifacts/v2q_m10_fe2bceb8704aa1cf/cli/sql_stderr_attempt_2.txt new file mode 100644 index 0000000000000000000000000000000000000000..e69de29bb2d1d6434b8b29ae775ad8c2e48c5391