File size: 6,446 Bytes
b28a7b2 944b4e2 ec5d751 b28a7b2 ec5d751 b28a7b2 ec5d751 b28a7b2 ec5d751 b28a7b2 ec5d751 944b4e2 ec5d751 b28a7b2 944b4e2 ec5d751 b28a7b2 ec5d751 944b4e2 b28a7b2 ec5d751 b28a7b2 ec5d751 944b4e2 | 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 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 | #!/usr/bin/env python
from __future__ import annotations
import argparse
import json
from pathlib import Path
from typing import Any
def _as_list(value: Any) -> list[str]:
if isinstance(value, list):
return [str(item) for item in value if str(item).strip()]
if isinstance(value, str) and value.strip():
return [value.strip()]
return []
def _evaluate_case(case: dict[str, Any]) -> dict[str, Any]:
case_id = str(case.get("id", "case"))
actual_response = str(case.get("actual_response", ""))
actual_tools = {str(item) for item in _as_list(case.get("actual_tools"))}
expected_contains = _as_list(case.get("expected_contains"))
expected_tools = {str(item) for item in _as_list(case.get("expected_tools"))}
missing_text = [needle for needle in expected_contains if needle not in actual_response]
missing_tools = sorted(expected_tools - actual_tools)
passed = not missing_text and not missing_tools
return {
"id": case_id,
"passed": passed,
"missing_text": missing_text,
"missing_tools": missing_tools,
}
def _evaluate_results(
*,
dataset_path: Path,
results: list[dict[str, Any]],
strict: bool,
min_pass_rate: float | None,
max_failed: int | None,
min_cases: int | None,
duplicate_ids: list[str],
missing_expected_tools_ids: list[str],
) -> dict[str, Any]:
passed = sum(1 for row in results if bool(row.get("passed")))
failed = len(results) - passed
pass_rate = (passed / len(results)) if results else 0.0
accepted = (failed == 0) if strict else (passed >= failed)
failure_reasons: list[str] = []
if strict and failed > 0:
failure_reasons.append("strict_failed_cases")
if not strict and passed < failed:
failure_reasons.append("non_strict_majority_failed")
if min_pass_rate is not None and pass_rate < min_pass_rate:
accepted = False
failure_reasons.append("pass_rate_below_threshold")
if max_failed is not None and failed > max_failed:
accepted = False
failure_reasons.append("failed_count_above_threshold")
if min_cases is not None and len(results) < min_cases:
accepted = False
failure_reasons.append("insufficient_case_count")
if duplicate_ids:
accepted = False
failure_reasons.append("duplicate_case_ids")
if missing_expected_tools_ids:
accepted = False
failure_reasons.append("missing_expected_tools")
return {
"dataset": str(dataset_path),
"strict": strict,
"thresholds": {
"min_pass_rate": min_pass_rate,
"max_failed": max_failed,
"min_cases": min_cases,
},
"case_count": len(results),
"passed": passed,
"failed": failed,
"pass_rate": pass_rate,
"accepted": accepted,
"failure_reasons": failure_reasons,
"duplicate_ids": duplicate_ids,
"missing_expected_tools_ids": missing_expected_tools_ids,
"results": results,
}
def main() -> int:
parser = argparse.ArgumentParser(description="Run deterministic evaluation dataset checks.")
parser.add_argument("dataset", help="Path to dataset JSON")
parser.add_argument("--output", default="")
parser.add_argument("--strict", action="store_true")
parser.add_argument(
"--min-pass-rate",
type=float,
default=None,
help="Optional minimum pass-rate acceptance threshold in [0.0, 1.0].",
)
parser.add_argument(
"--max-failed",
type=int,
default=None,
help="Optional maximum failed-case acceptance threshold (>= 0).",
)
parser.add_argument(
"--min-cases",
type=int,
default=None,
help="Optional minimum number of evaluation cases required.",
)
parser.add_argument(
"--require-unique-ids",
action="store_true",
help="Fail if case IDs are duplicated.",
)
parser.add_argument(
"--require-expected-tools",
action="store_true",
help="Fail if any case has an empty expected_tools list.",
)
args = parser.parse_args()
dataset_path = Path(args.dataset)
if args.min_pass_rate is not None and (args.min_pass_rate < 0.0 or args.min_pass_rate > 1.0):
raise SystemExit("--min-pass-rate must be between 0.0 and 1.0.")
if args.max_failed is not None and args.max_failed < 0:
raise SystemExit("--max-failed must be >= 0.")
if args.min_cases is not None and args.min_cases < 0:
raise SystemExit("--min-cases must be >= 0.")
payload = json.loads(dataset_path.read_text(encoding="utf-8"))
cases = payload.get("cases", []) if isinstance(payload, dict) else []
if not isinstance(cases, list):
raise SystemExit("Dataset format error: expected top-level object with 'cases' list.")
results = [_evaluate_case(case) for case in cases if isinstance(case, dict)]
case_ids = [str(case.get("id", "")).strip() for case in cases if isinstance(case, dict)]
id_counts: dict[str, int] = {}
for case_id in case_ids:
if not case_id:
continue
id_counts[case_id] = id_counts.get(case_id, 0) + 1
duplicate_ids = sorted(case_id for case_id, count in id_counts.items() if count > 1)
if not args.require_unique_ids:
duplicate_ids = []
missing_expected_tools_ids: list[str] = []
if args.require_expected_tools:
for case in cases:
if not isinstance(case, dict):
continue
expected_tools = _as_list(case.get("expected_tools"))
if expected_tools:
continue
missing_expected_tools_ids.append(str(case.get("id", "case")))
summary = _evaluate_results(
dataset_path=dataset_path,
results=results,
strict=bool(args.strict),
min_pass_rate=args.min_pass_rate,
max_failed=args.max_failed,
min_cases=args.min_cases,
duplicate_ids=duplicate_ids,
missing_expected_tools_ids=missing_expected_tools_ids,
)
text = json.dumps(summary, indent=2)
print(text)
if args.output:
out_path = Path(args.output)
out_path.parent.mkdir(parents=True, exist_ok=True)
out_path.write_text(text, encoding="utf-8")
return 0 if summary["accepted"] else 1
if __name__ == "__main__":
raise SystemExit(main())
|