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KMME / check_run.py
kimsan0622's picture
Clarify first-run evaluation workflow and add transport completeness check (v1.0.1)
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# SPDX-License-Identifier: Apache-2.0
"""Check transport completeness; this is not answer parsing or scoring."""
import argparse,json
from pathlib import Path
from collections import Counter
def rows(path):
with path.open(encoding="utf-8-sig") as f:
return [json.loads(line) for line in f if line.strip()]
def main():
p=argparse.ArgumentParser(description=__doc__)
p.add_argument("--input",type=Path,required=True)
p.add_argument("--predictions",type=Path,required=True)
p.add_argument("--limit",type=int)
a=p.parse_args()
if a.limit is not None and a.limit<1:p.error("--limit must be positive")
inputs=rows(a.input)
if a.limit is not None:inputs=inputs[:a.limit]
outputs=rows(a.predictions)
expected=[r["sample_id"] for r in inputs]
actual=[r.get("sample_id") for r in outputs]
duplicate_input=len(expected)-len(set(expected))
duplicate_output=sum(n-1 for n in Counter(actual).values() if n>1)
missing=set(expected)-set(actual);unknown=set(actual)-set(expected)
api_failed=sum(r.get("api_status")!="ok" for r in outputs)
empty=sum(not isinstance(r.get("prediction"),str) or not r.get("prediction","").strip() for r in outputs)
models={r.get("evaluated_model") for r in outputs if r.get("evaluated_model")}
ok=bool(expected) and not any([duplicate_input,duplicate_output,missing,unknown,api_failed,empty,len(models)>1])
print(json.dumps({"transport_check":"passed" if ok else "failed","expected":len(expected),"received":len(actual),"missing":len(missing),"unknown":len(unknown),"duplicate_input":duplicate_input,"duplicate_output":duplicate_output,"api_failed":api_failed,"empty_predictions":empty,"mixed_models":len(models)>1,"answer_parsing_checked":False,"model_accuracy_measured":False},ensure_ascii=False))
raise SystemExit(0 if ok else 1)
if __name__=="__main__":main()