File size: 8,298 Bytes
f1720ff | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | {
"task_id": "schemathesis_reporting_observability",
"name": "Schemathesis Reporting Observability",
"category": "Systems & Software Engineering",
"base_image": "python",
"platform": "linux/amd64",
"internet": false,
"cwd": "/app",
"submit_paths": [
"."
],
"submit_exclude": [
".git",
"__pycache__",
"*.pyc",
"*.egg-info",
".eggs",
"*.so",
"TODO.md"
],
"work": {
"image_tag": "cd6879e59e62",
"specs_dir": "/app",
"agent_query": "## Role\n\nYou are an expert software engineer implementing a roadmap task in the current repository.\n\n## Task Document\n\nRead `/app/TODO.md` completely before editing code. It contains the full project overview, goals, target requirements, and completion criteria.\n\n## Workflow\n\n1. Read the task document before making code changes.\n2. Implement all requested roadmap targets.\n3. Preserve existing public APIs unless `/app/TODO.md` explicitly requires a change.\n4. Use local tests or submission feedback to iterate when available.\n\n## Rules\n\n- Treat `/app/TODO.md` as the authoritative task specification.\n- Do not modify hidden tests.\n- Do not rely on external task text beyond the task document.\n"
},
"judge": {
"image_tag": "21a26db29432",
"eval_cmd": "set +x; cd /app && bash /tests/test.sh > /tmp/test_full.log 2>&1; python3 - > /tmp/structured_result.log 2>&1 <<'PY'\nimport json\nimport re\nfrom pathlib import Path\n\nPASSED = \"PASSED\"\nFAILED = \"FAILED\"\nERROR = \"ERROR\"\n\n\ndef read_text(path):\n p = Path(path)\n if not p.exists():\n return \"\"\n return p.read_text(errors=\"replace\")\n\n\ndef parse_weights(script_text, phase_count):\n patterns = [\n r\"weights\\s*=\\s*\\[([0-9,\\s]+)\\]\",\n r\"PHASE_WEIGHTS\\s*=\\s*\\(([0-9\\s]+)\\)\",\n ]\n for pattern in patterns:\n m = re.search(pattern, script_text)\n if m:\n raw = re.split(r\"[,\\s]+\", m.group(1).strip())\n weights = [float(x) for x in raw if x]\n if len(weights) >= phase_count:\n return weights[:phase_count]\n\n m = re.search(r\"PHASES\\s*=\\s*\\((.*?)\\n\\)\", script_text, re.S)\n if m:\n weights = []\n for line in m.group(1).splitlines():\n line = line.strip()\n if not line or line.startswith(\"#\"):\n continue\n line = line.strip(\"\\\"'\")\n parts = line.split()\n if parts and re.fullmatch(r\"\\d+(?:\\.\\d+)?\", parts[-1]):\n weights.append(float(parts[-1]))\n if len(weights) >= phase_count:\n return weights[:phase_count]\n\n reward_json = Path(\"/logs/verifier/reward.json\")\n if reward_json.exists():\n try:\n data = json.loads(reward_json.read_text(errors=\"replace\"))\n phases = data.get(\"phases\")\n if isinstance(phases, dict):\n weights = []\n for phase in phases.values():\n if isinstance(phase, dict) and \"weight\" in phase:\n weights.append(float(phase[\"weight\"]))\n if len(weights) >= phase_count:\n return weights[:phase_count]\n except Exception:\n pass\n\n return [1.0] * phase_count\n\n\ndef parse_statuses(output):\n results = []\n seen = set()\n pattern = re.compile(r\"^(tests/roadmap\\.py::\\S+)\\s+(PASSED|FAILED|ERROR)\\s*$\", re.M)\n for name, status in pattern.findall(output):\n if name in seen:\n continue\n seen.add(name)\n results.append((name, status))\n return results\n\n\ndef parse_phase_number(name, fallback):\n m = re.search(r\"(?:test_)?phase_?0*(\\d+)\\b\", name)\n if m:\n return int(m.group(1))\n return fallback\n\n\ndef parse_phase_ratios(output):\n ratios = {}\n counts = {}\n pattern = re.compile(r\"^Phase\\s+0*(\\d+):\\s+(\\d+)\\s*/\\s*(\\d+)\\s+passed\\s*$\", re.M)\n for n, passed, total in pattern.findall(output):\n n_i = int(n)\n passed_i = int(passed)\n total_i = int(total)\n counts[n_i] = (passed_i, total_i)\n ratios[n_i] = passed_i / total_i if total_i else 0.0\n\n weighted_pattern = re.compile(\n r\"^\\s*Phase\\s+0*(\\d+)\\s+\\(weight\\s*=\\s*([0-9.]+)\\):\\s*([0-9.]+)\\s*$\",\n re.M,\n )\n inline_weights = {}\n for n, weight, score in weighted_pattern.findall(output):\n n_i = int(n)\n inline_weights[n_i] = float(weight)\n ratios[n_i] = float(score)\n\n return ratios, counts, inline_weights\n\n\ndef parse_total_score(output):\n m = re.search(r\"TOTAL_SCORE\\s+([0-9]+(?:\\.[0-9]+)?)\", output)\n if m:\n return float(m.group(1))\n reward_path = Path(\"/logs/verifier/reward.txt\")\n if reward_path.exists():\n try:\n return float(reward_path.read_text(errors=\"replace\").strip())\n except Exception:\n pass\n return None\n\n\ndef main():\n output = read_text(\"/tmp/test_full.log\")\n script = read_text(\"/tests/test.sh\")\n\n statuses = parse_statuses(output)\n if not statuses:\n statuses = [(\"tests/roadmap.py::unknown\", ERROR)]\n\n ratios, counts, inline_weights = parse_phase_ratios(output)\n weights = parse_weights(script, len(statuses))\n for idx, weight in inline_weights.items():\n if 1 <= idx <= len(weights):\n weights[idx - 1] = weight\n\n details = []\n weighted_total = 0.0\n weight_total = 0.0\n failed_names = []\n\n for pos, (name, status) in enumerate(statuses, start=1):\n phase_num = parse_phase_number(name, pos)\n weight = weights[pos - 1] if pos - 1 < len(weights) else 1.0\n if phase_num in ratios:\n ratio = ratios[phase_num]\n else:\n ratio = 1.0 if status == PASSED else 0.0\n contribution = weight * ratio\n weighted_total += contribution\n weight_total += weight\n\n if phase_num in counts:\n phase_passed, phase_total = counts[phase_num]\n message = (\n f\"Phase {phase_num}: {phase_passed}/{phase_total} checks passed; \"\n f\"weighted contribution {contribution:.6f}/{weight:.6f}\"\n )\n else:\n message = (\n f\"Phase {phase_num}: status {status}; \"\n f\"weighted contribution {contribution:.6f}/{weight:.6f}\"\n )\n\n if status != PASSED:\n failed_names.append(name)\n\n details.append(\n {\n \"name\": name,\n \"status\": status,\n \"message\": message,\n \"score\": contribution,\n \"weight\": weight,\n }\n )\n\n passed_count = sum(1 for _, status in statuses if status == PASSED)\n total_count = len(statuses)\n pass_rate = passed_count / total_count if total_count else 0.0\n total_score = parse_total_score(output)\n if total_score is None:\n total_score = weighted_total / weight_total if weight_total else 0.0\n\n summary = (\n f\"{passed_count}/{total_count} phases passed; \"\n f\"weighted score {total_score:.6f}\"\n )\n if failed_names:\n summary += \". Failed: \" + \", \".join(failed_names[:10])\n if len(failed_names) > 10:\n summary += f\" (+{len(failed_names) - 10} more)\"\n\n result = {\n \"valid\": True,\n \"score\": total_score,\n \"pass_rate\": pass_rate,\n \"summary\": summary,\n \"details\": details,\n \"metrics\": {\n \"phase_weighted_total\": weighted_total,\n \"phase_weight_total\": weight_total,\n \"source\": \"roadmap_structured_json\",\n },\n }\n\n print(\">>>>> Start Structured Result\")\n print(json.dumps(result, ensure_ascii=False, indent=2))\n print(\">>>>> End Structured Result\")\n\n\nif __name__ == \"__main__\":\n main()\nPY\ncat /tmp/structured_result.log",
"eval_timeout": 1800,
"parser": "structured_json",
"selection": "score_first",
"rescale": {
"kind": "linear",
"lower": 0.0,
"upper": 1.0
}
}
}
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