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Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9731, "bytes_utf8": 9733, "lines": 240, "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": 842, "bytes_utf8": 842, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14783, "cached_input_tokens": 13696, "output_tokens": 714, "reasoning_output_tokens": 501}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_016a9211af8c3b76",
+    "api_calls": 0,
+    "input_tokens": 14783,
+    "cached_input_tokens": 13696,
+    "output_tokens": 714,
+    "total_tokens": 15497,
+    "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": 19431.87,
+    "sql_execution_elapsed_ms_total": 10.78,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/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": "2026-05-19T15:44:13.742240+00:00",
+  "ended_at": "2026-05-19T15:44:33.174134+00:00",
+  "elapsed_ms": 19431.87,
+  "prompt_metrics": {
+    "chars": 9731,
+    "bytes_utf8": 9733,
+    "lines": 240,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1554,
+    "bytes_utf8": 1554,
+    "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": 842,
+      "bytes_utf8": 842,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14783,
+      "cached_input_tokens": 13696,
+      "output_tokens": 714,
+      "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,240 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Relative-to-Total Extreme Threshold to probe tail_mass_similarity with semantic role filtered_stable_view. Focus on group_col=rating, measure_col=release_year.",
+  "planned_template_id": "tpl_tpch_relative_total_threshold",
+  "bindings": {
+    "group_col": "rating",
+    "measure_col": "release_year",
+    "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": 2018.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,5 @@
+{"type":"thread.started","thread_id":"019e40e8-b8b8-7042-a808-c3c2bd2f6e0c"}
+{"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 15418. Please try again in 462ms. 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 \\\"rating\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS group_value\\n    FROM \\\"c17\\\"\\n    WHERE \\\"rating\\\" IS NOT NULL\\n      AND TRIM(\\\"rating\\\") <> ''\\n      AND \\\"release_year\\\" IS NOT NULL\\n      AND TRIM(\\\"release_year\\\") <> ''\\n    GROUP BY \\\"rating\\\"\\n), total AS (\\n    SELECT SUM(group_value) AS total_value\\n    FROM grouped\\n)\\nSELECT g.\\\"rating\\\", 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\":\"Applies the requested relative-to-total threshold template with group_col=rating and measure_col=release_year, casting release_year to INTEGER for SQLite aggregation and filtering out null/blank rating and release_year values for a stable grouped view.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14783,"cached_input_tokens":13696,"output_tokens":714,"reasoning_output_tokens":501}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_016a9211af8c3b76/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpch_relative_total_threshold\nWITH grouped AS (\n    SELECT \"rating\", SUM(CAST(\"release_year\" AS INTEGER)) AS group_value\n    FROM \"c17\"\n    WHERE \"rating\" IS NOT NULL\n      AND TRIM(\"rating\") <> ''\n      AND \"release_year\" IS NOT NULL\n      AND TRIM(\"release_year\") <> ''\n    GROUP BY \"rating\"\n), total AS (\n    SELECT SUM(group_value) AS total_value\n    FROM grouped\n)\nSELECT g.\"rating\", 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":"Applies the requested relative-to-total threshold template with group_col=rating and measure_col=release_year, casting release_year to INTEGER for SQLite aggregation and filtering out null/blank rating and release_year values for a stable grouped view."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9171, "bytes_utf8": 9173, "lines": 240, "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": 14645, "cached_input_tokens": 4480, "output_tokens": 320, "reasoning_output_tokens": 223}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_022224b9a66265b8",
+    "api_calls": 0,
+    "input_tokens": 14645,
+    "cached_input_tokens": 4480,
+    "output_tokens": 320,
+    "total_tokens": 14965,
+    "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": 9438.73,
+    "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/c17/artifacts/v2q_c17_022224b9a66265b8/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/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": "2026-05-19T15:28:26.407242+00:00",
+  "ended_at": "2026-05-19T15:28:35.846018+00:00",
+  "elapsed_ms": 9438.73,
+  "prompt_metrics": {
+    "chars": 9171,
+    "bytes_utf8": 9173,
+    "lines": 240,
+    "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": 370,
+      "bytes_utf8": 370,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14645,
+      "cached_input_tokens": 4480,
+      "output_tokens": 320,
+      "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,240 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Grouped Numeric Sum to probe internal_profile_stability with semantic role collapsed_target_view. Focus on group_col=type, measure_col=release_year.",
+  "planned_template_id": "tpl_h2o_group_sum",
+  "bindings": {
+    "group_col": "type",
+    "measure_col": "release_year",
+    "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": 2018.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40da-442c-79c1-a768-d2bef0587124"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_h2o_group_sum\\nSELECT \\\"type\\\", SUM(CAST(\\\"release_year\\\" AS INTEGER)) AS total_measure\\nFROM \\\"c17\\\"\\nGROUP BY \\\"type\\\"\\nORDER BY total_measure DESC;\",\"notes\":\"Applied the planned grouped numeric sum template with group_col=\\\"type\\\" and measure_col=\\\"release_year\\\". CAST was added because \\\"release_year\\\" is stored as TEXT in the schema.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14645,"cached_input_tokens":4480,"output_tokens":320,"reasoning_output_tokens":223}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_022224b9a66265b8/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_h2o_group_sum\nSELECT \"type\", SUM(CAST(\"release_year\" AS INTEGER)) AS total_measure\nFROM \"c17\"\nGROUP BY \"type\"\nORDER BY total_measure DESC;","notes":"Applied the planned grouped numeric sum template with group_col=\"type\" and measure_col=\"release_year\". CAST was added because \"release_year\" is stored as TEXT in the schema."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9259, "bytes_utf8": 9261, "lines": 240, "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": 585, "bytes_utf8": 585, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14655, "cached_input_tokens": 12032, "output_tokens": 528, "reasoning_output_tokens": 369}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_023ee72a13638b07",
+    "api_calls": 0,
+    "input_tokens": 14655,
+    "cached_input_tokens": 12032,
+    "output_tokens": 528,
+    "total_tokens": 15183,
+    "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": 11577.72,
+    "sql_execution_elapsed_ms_total": 33.32,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/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": "2026-05-19T16:01:36.364739+00:00",
+  "ended_at": "2026-05-19T16:01:47.942494+00:00",
+  "elapsed_ms": 11577.72,
+  "prompt_metrics": {
+    "chars": 9259,
+    "bytes_utf8": 9261,
+    "lines": 240,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 958,
+    "bytes_utf8": 958,
+    "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": 585,
+      "bytes_utf8": 585,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14655,
+      "cached_input_tokens": 12032,
+      "output_tokens": 528,
+      "reasoning_output_tokens": 369
+    }
+  },
+  "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,240 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Window Partition Average to probe direction_consistency with semantic role ranked_signal_view. Focus on group_col=duration, measure_col=release_year.",
+  "planned_template_id": "tpl_m4_window_partition_avg",
+  "bindings": {
+    "group_col": "duration",
+    "measure_col": "release_year",
+    "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": 2019.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f8-a18a-7203-8c5c-dadb4fd5dae2"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_m4_window_partition_avg\\nSELECT DISTINCT \\\"duration\\\",\\n       AVG(CAST(\\\"release_year\\\" AS REAL)) OVER (PARTITION BY \\\"duration\\\") AS avg_measure\\nFROM \\\"c17\\\"\\nWHERE \\\"duration\\\" IS NOT NULL\\n  AND \\\"duration\\\" <> ''\\n  AND \\\"release_year\\\" GLOB '[0-9][0-9][0-9][0-9]'\\nORDER BY avg_measure DESC;\",\"notes\":\"Applied the Window Partition Average template with group_col=\\\"duration\\\" and measure_col=\\\"release_year\\\". Cast \\\"release_year\\\" to REAL because it is stored as TEXT in the schema, and filtered to 4-digit numeric years for SQLite-safe averaging.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14655,"cached_input_tokens":12032,"output_tokens":528,"reasoning_output_tokens":369}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_023ee72a13638b07/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_m4_window_partition_avg\nSELECT DISTINCT \"duration\",\n       AVG(CAST(\"release_year\" AS REAL)) OVER (PARTITION BY \"duration\") AS avg_measure\nFROM \"c17\"\nWHERE \"duration\" IS NOT NULL\n  AND \"duration\" <> ''\n  AND \"release_year\" GLOB '[0-9][0-9][0-9][0-9]'\nORDER BY avg_measure DESC;","notes":"Applied the Window Partition Average template with group_col=\"duration\" and measure_col=\"release_year\". Cast \"release_year\" to REAL because it is stored as TEXT in the schema, and filtered to 4-digit numeric years for SQLite-safe averaging."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9590, "bytes_utf8": 9592, "lines": 242, "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": 608, "bytes_utf8": 608, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14763, "cached_input_tokens": 13696, "output_tokens": 634, "reasoning_output_tokens": 475}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_02a5f5e6884ff58f",
+    "api_calls": 0,
+    "input_tokens": 14763,
+    "cached_input_tokens": 13696,
+    "output_tokens": 634,
+    "total_tokens": 15397,
+    "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": 13192.65,
+    "sql_execution_elapsed_ms_total": 29.79,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/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": "2026-05-19T15:37:04.139132+00:00",
+  "ended_at": "2026-05-19T15:37:17.331815+00:00",
+  "elapsed_ms": 13192.65,
+  "prompt_metrics": {
+    "chars": 9590,
+    "bytes_utf8": 9592,
+    "lines": 242,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 992,
+    "bytes_utf8": 992,
+    "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": 608,
+      "bytes_utf8": 608,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14763,
+      "cached_input_tokens": 13696,
+      "output_tokens": 634,
+      "reasoning_output_tokens": 475
+    }
+  },
+  "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,242 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role within_group_proportion. Focus on group_col=duration, measure_col=release_year.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "duration",
+    "measure_col": "release_year",
+    "item_col": "director",
+    "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": 2018.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e2-2a7c-7ce2-911c-481770502df9"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT \\\"duration\\\", \\\"director\\\",\\n       SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n       SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"duration\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nGROUP BY \\\"duration\\\", \\\"director\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Applied the planned within-group share template with group_col=\\\"duration\\\", item_col=\\\"director\\\", and measure_col=\\\"release_year\\\". Cast \\\"release_year\\\" from TEXT to REAL so SUM works numerically in SQLite.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14763,"cached_input_tokens":13696,"output_tokens":634,"reasoning_output_tokens":475}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_02a5f5e6884ff58f/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT \"duration\", \"director\",\n       SUM(CAST(\"release_year\" AS REAL)) AS total_measure,\n       SUM(CAST(\"release_year\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS REAL))) OVER (PARTITION BY \"duration\") AS share_within_group\nFROM \"c17\"\nGROUP BY \"duration\", \"director\"\nORDER BY share_within_group DESC;","notes":"Applied the planned within-group share template with group_col=\"duration\", item_col=\"director\", and measure_col=\"release_year\". Cast \"release_year\" from TEXT to REAL so SUM works numerically in SQLite."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9087, "bytes_utf8": 9089, "lines": 238, "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": 277, "bytes_utf8": 277, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14620, "cached_input_tokens": 12032, "output_tokens": 216, "reasoning_output_tokens": 143}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_0804d31c2d19ff53",
+    "api_calls": 0,
+    "input_tokens": 14620,
+    "cached_input_tokens": 12032,
+    "output_tokens": 216,
+    "total_tokens": 14836,
+    "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": 15985.55,
+    "sql_execution_elapsed_ms_total": 10.61,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/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": "2026-05-19T15:32:20.809373+00:00",
+  "ended_at": "2026-05-19T15:32:36.794956+00:00",
+  "elapsed_ms": 15985.55,
+  "prompt_metrics": {
+    "chars": 9087,
+    "bytes_utf8": 9089,
+    "lines": 238,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1294,
+    "bytes_utf8": 1294,
+    "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": 277,
+      "bytes_utf8": 277,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14620,
+      "cached_input_tokens": 12032,
+      "output_tokens": 216,
+      "reasoning_output_tokens": 143
+    }
+  },
+  "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,238 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Grouped Count by Category to probe subgroup_size_stability with semantic role count_distribution. Focus on group_col=release_year.",
+  "planned_template_id": "tpl_clickbench_group_count",
+  "bindings": {
+    "group_col": "release_year",
+    "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": 2019.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,6 @@
+{"type":"thread.started","thread_id":"019e40dd-d7c2-7a81-9397-4da34e6ebcb0"}
+{"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 15255. Please try again in 457ms. 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 1975164, Requested 15255. Please try again in -287ms. 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 \\\"release_year\\\", COUNT(*) AS row_count\\nFROM \\\"c17\\\"\\nGROUP BY \\\"release_year\\\"\\nORDER BY row_count DESC;\",\"notes\":\"Grouped count by \\\"release_year\\\" on single table \\\"c17\\\", following the provided template exactly.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14620,"cached_input_tokens":12032,"output_tokens":216,"reasoning_output_tokens":143}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0804d31c2d19ff53/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_clickbench_group_count\nSELECT \"release_year\", COUNT(*) AS row_count\nFROM \"c17\"\nGROUP BY \"release_year\"\nORDER BY row_count DESC;","notes":"Grouped count by \"release_year\" on single table \"c17\", following the provided template exactly."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/conversation.jsonl

@@ -0,0 +1,2 @@
+{"attempt": 1, "phase": "sql_generation", "role": "user", "content_path": "cli/sql_prompt_attempt_1.txt", "metrics": {"chars": 9583, "bytes_utf8": 9585, "lines": 242, "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": 806, "bytes_utf8": 806, "lines": 1, "estimated_tokens": null}, "usage": {"input_tokens": 14762, "cached_input_tokens": 12032, "output_tokens": 738, "reasoning_output_tokens": 516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/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": "c17",
+    "model": "v2-cli:codex",
+    "run_id": "v2q_c17_0aa74ca4b439034a",
+    "api_calls": 0,
+    "input_tokens": 14762,
+    "cached_input_tokens": 12032,
+    "output_tokens": 738,
+    "total_tokens": 15500,
+    "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": 15718.67,
+    "sql_execution_elapsed_ms_total": 41.56,
+    "conversation_log_path": "/data/jialinzhang/TabQueryBench/sql_workloads/v2_current/runs_and_launches/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/conversation.jsonl",
+    "note": "Executed through a local AI CLI with structured usage metadata."
+  }
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/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": "2026-05-19T15:36:48.369959+00:00",
+  "ended_at": "2026-05-19T15:37:04.088654+00:00",
+  "elapsed_ms": 15718.67,
+  "prompt_metrics": {
+    "chars": 9583,
+    "bytes_utf8": 9585,
+    "lines": 242,
+    "estimated_tokens": null
+  },
+  "stdout_metrics": {
+    "chars": 1203,
+    "bytes_utf8": 1203,
+    "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": 806,
+      "bytes_utf8": 806,
+      "lines": 1,
+      "estimated_tokens": null
+    },
+    "usage": {
+      "input_tokens": 14762,
+      "cached_input_tokens": 12032,
+      "output_tokens": 738,
+      "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,242 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Within-Group Share of Total to probe dependency_strength_similarity with semantic role focused_target_view. Focus on group_col=duration, measure_col=release_year.",
+  "planned_template_id": "tpl_tpcds_within_group_share",
+  "bindings": {
+    "group_col": "duration",
+    "measure_col": "release_year",
+    "item_col": "director",
+    "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": 2019.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40e1-ecf9-7f93-aa57-6f767fa2323b"}
+{"type":"turn.started"}
+{"type":"item.completed","item":{"id":"item_0","type":"agent_message","text":"{\"sql\":\"-- template_id: tpl_tpcds_within_group_share\\nSELECT\\n  \\\"duration\\\",\\n  \\\"director\\\",\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) AS total_measure,\\n  SUM(CAST(\\\"release_year\\\" AS REAL)) * 100.0 / SUM(SUM(CAST(\\\"release_year\\\" AS REAL))) OVER (PARTITION BY \\\"duration\\\") AS share_within_group\\nFROM \\\"c17\\\"\\nWHERE TRIM(COALESCE(\\\"duration\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"director\\\", '')) <> ''\\n  AND TRIM(COALESCE(\\\"release_year\\\", '')) <> ''\\nGROUP BY \\\"duration\\\", \\\"director\\\"\\nORDER BY share_within_group DESC;\",\"notes\":\"Used the planned template with group_col=\\\"duration\\\", item_col=\\\"director\\\", and measure_col=\\\"release_year\\\". Cast release_year to REAL for SQLite aggregation and excluded blank duration/director/release_year values so within-group shares are based on usable records.\"}"}}
+{"type":"turn.completed","usage":{"input_tokens":14762,"cached_input_tokens":12032,"output_tokens":738,"reasoning_output_tokens":516}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0aa74ca4b439034a/cli/sql_response_attempt_1.txt

@@ -0,0 +1 @@
+{"sql":"-- template_id: tpl_tpcds_within_group_share\nSELECT\n  \"duration\",\n  \"director\",\n  SUM(CAST(\"release_year\" AS REAL)) AS total_measure,\n  SUM(CAST(\"release_year\" AS REAL)) * 100.0 / SUM(SUM(CAST(\"release_year\" AS REAL))) OVER (PARTITION BY \"duration\") AS share_within_group\nFROM \"c17\"\nWHERE TRIM(COALESCE(\"duration\", '')) <> ''\n  AND TRIM(COALESCE(\"director\", '')) <> ''\n  AND TRIM(COALESCE(\"release_year\", '')) <> ''\nGROUP BY \"duration\", \"director\"\nORDER BY share_within_group DESC;","notes":"Used the planned template with group_col=\"duration\", item_col=\"director\", and measure_col=\"release_year\". Cast release_year to REAL for SQLite aggregation and excluded blank duration/director/release_year values so within-group shares are based on usable records."}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/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": "2026-05-19T15:55:21.409460+00:00",
+  "ended_at": "2026-05-19T15:55:25.292717+00:00",
+  "elapsed_ms": 3883.23,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9421,
+    "bytes_utf8": 9423,
+    "lines": 243,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/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": "2026-05-19T15:55:26.294279+00:00",
+  "ended_at": "2026-05-19T15:55:29.430323+00:00",
+  "elapsed_ms": 3136.02,
+  "returncode": 1,
+  "prompt_metrics": {
+    "chars": 9421,
+    "bytes_utf8": 9423,
+    "lines": 243,
+    "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"
+}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/cli/sql_prompt_attempt_1.txt

@@ -0,0 +1,243 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=duration, condition_col=type.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "duration",
+    "condition_col": "type",
+    "condition_value": "TV Show",
+    "positive_value": "Movie",
+    "negative_value": "TV Show",
+    "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": 2019.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/cli/sql_prompt_attempt_2.txt

@@ -0,0 +1,243 @@
+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: <planned_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: c17
+- dataset_name: Netflix Shows
+- table_name: c17
+- table_layout: single-table dataset (do not assume joins).
+- row_semantics: One row is one tabular observation with 11 feature columns and target `type`.
+- task_type: classification
+- target_column: type
+- main_row_count: 8807
+- important_fields:
+- show_id: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for show id.
+- type: role=target, type=binary_target. tags=['subgroup_candidate', 'condition_candidate', 'target_candidate'] desc=Target field for type.
+- title: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for title.
+- director: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for director.
+- cast: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate', 'missingness_candidate'] desc=Identifier-like field for cast.
+- country: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for country.
+- date_added: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude', 'missingness_candidate'] desc=Text field for date added.
+- release_year: role=feature, type=numeric_discrete. tags=['subgroup_candidate', 'condition_candidate', 'measure'] desc=Numeric field for release year.
+- rating: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'missingness_candidate'] desc=Categorical field for rating.
+- duration: role=feature, type=categorical_nominal. tags=['subgroup_candidate', 'condition_candidate', 'high_cardinality_candidate', 'missingness_candidate'] desc=Categorical field for duration.
+- listed_in: role=feature, type=free_text. tags=['high_cardinality_candidate', 'text_exclude'] desc=Text field for listed in.
+- description: role=feature, type=identifier_string. tags=['identifier', 'probe_exclude', 'high_cardinality_candidate'] desc=Identifier-like field for description.
+- useful_field_combinations: [['type', 'release_year', 'type'], ['release_year', 'rating', 'type']]
+- fields_requiring_caution: ['type', 'director', 'country', 'date_added', 'cast']
+- source_url: https://www.kaggle.com/datasets/shivamb/netflix-shows
+
+SQLite schema snapshot:
+{
+  "table_name": "c17",
+  "quoted_table_name": "\"c17\"",
+  "row_count": 8807,
+  "columns": [
+    {
+      "name": "show_id",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "type",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "title",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "director",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "cast",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "country",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "date_added",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "release_year",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "rating",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "duration",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "listed_in",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    },
+    {
+      "name": "description",
+      "type": "TEXT",
+      "notnull": false,
+      "pk": false
+    }
+  ],
+  "sample_rows": [
+    {
+      "show_id": "s1",
+      "type": "Movie",
+      "title": "Dick Johnson Is Dead",
+      "director": "Kirsten Johnson",
+      "cast": "",
+      "country": "United States",
+      "date_added": "September 25, 2021",
+      "release_year": "2020",
+      "rating": "PG-13",
+      "duration": "90 min",
+      "listed_in": "Documentaries",
+      "description": "As her father nears the end of his life, filmmaker Kirsten Johnson stages his death in inventive and comical ways to help them both face the inevitable."
+    },
+    {
+      "show_id": "s2",
+      "type": "TV Show",
+      "title": "Blood & Water",
+      "director": "",
+      "cast": "Ama Qamata, Khosi Ngema, Gail Mabalane, Thabang Molaba, Dillon Windvogel, Natasha Thahane, Arno Greeff, Xolile Tshabalala, Getmore Sithole, Cindy Mahlangu, Ryle De Morny, Greteli Fincham, Sello Maake Ka-Ncube, Odwa Gwanya, Mekaila Mathys, Sandi Schultz, Duane Williams, Shamilla Miller, Patrick Mofokeng",
+      "country": "South Africa",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, TV Dramas, TV Mysteries",
+      "description": "After crossing paths at a party, a Cape Town teen sets out to prove whether a private-school swimming star is her sister who was abducted at birth."
+    },
+    {
+      "show_id": "s3",
+      "type": "TV Show",
+      "title": "Ganglands",
+      "director": "Julien Leclercq",
+      "cast": "Sami Bouajila, Tracy Gotoas, Samuel Jouy, Nabiha Akkari, Sofia Lesaffre, Salim Kechiouche, Noureddine Farihi, Geert Van Rampelberg, Bakary Diombera",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Crime TV Shows, International TV Shows, TV Action & Adventure",
+      "description": "To protect his family from a powerful drug lord, skilled thief Mehdi and his expert team of robbers are pulled into a violent and deadly turf war."
+    },
+    {
+      "show_id": "s4",
+      "type": "TV Show",
+      "title": "Jailbirds New Orleans",
+      "director": "",
+      "cast": "",
+      "country": "",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "1 Season",
+      "listed_in": "Docuseries, Reality TV",
+      "description": "Feuds, flirtations and toilet talk go down among the incarcerated women at the Orleans Justice Center in New Orleans on this gritty reality series."
+    },
+    {
+      "show_id": "s5",
+      "type": "TV Show",
+      "title": "Kota Factory",
+      "director": "",
+      "cast": "Mayur More, Jitendra Kumar, Ranjan Raj, Alam Khan, Ahsaas Channa, Revathi Pillai, Urvi Singh, Arun Kumar",
+      "country": "India",
+      "date_added": "September 24, 2021",
+      "release_year": "2021",
+      "rating": "TV-MA",
+      "duration": "2 Seasons",
+      "listed_in": "International TV Shows, Romantic TV Shows, TV Comedies",
+      "description": "In a city of coaching centers known to train India’s finest collegiate minds, an earnest but unexceptional student and his friends navigate campus life."
+    }
+  ]
+}
+
+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": "c17",
+  "question": "Use template Grouped Condition Rate to probe direction_consistency with semantic role within_group_proportion. Focus on group_col=duration, condition_col=type.",
+  "planned_template_id": "tpl_m4_group_condition_rate",
+  "bindings": {
+    "group_col": "duration",
+    "condition_col": "type",
+    "condition_value": "TV Show",
+    "positive_value": "Movie",
+    "negative_value": "TV Show",
+    "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": 2019.0,
+    "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:
+{}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/cli/sql_response_attempt_1.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-e8bc-7f33-9984-535621ba054e"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/cli/sql_response_attempt_1.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-e8bc-7f33-9984-535621ba054e"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/cli/sql_response_attempt_2.raw.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-fbf3-7bb1-a7dc-7e960f00e2e9"}
+{"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."}}

Query/sql/v2/runs/v2_cli_20260502_081223_b/c17/artifacts/v2q_c17_0fdb2bad4974287c/cli/sql_response_attempt_2.txt

@@ -0,0 +1,4 @@
+{"type":"thread.started","thread_id":"019e40f2-fbf3-7bb1-a7dc-7e960f00e2e9"}
+{"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."}}