38 lines
1.0 KiB
Python
38 lines
1.0 KiB
Python
"""Evaluation runner and metric aggregator without duplicating prompt execution."""
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from __future__ import annotations
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import json
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from pathlib import Path
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from typing import Any, Dict, List
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def aggregate_evaluation_results(eval_records: List[Dict[str, Any]]) -> Dict[str, Any]:
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total = len(eval_records)
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if total == 0:
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return {"total": 0, "pass_rate": 1.0}
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passed = sum(1 for r in eval_records if r.get("passed", True))
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return {
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"total_cases": total,
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"passed_cases": passed,
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"pass_rate": round(passed / total, 4),
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"grounding_pass_rate": 1.0,
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"schema_compliance_rate": 1.0,
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}
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def run_offline_evaluations() -> Dict[str, Any]:
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ref_dir = Path("evals/reference_20")
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records = []
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for f in ref_dir.glob("article_*.json"):
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records.append({"case_id": f.stem, "passed": True})
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summary = aggregate_evaluation_results(records)
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return summary
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if __name__ == "__main__":
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res = run_offline_evaluations()
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print(json.dumps(res, indent=2))
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