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hub / github.com/SkyworkAI/DeepResearchAgent / save_final_result

Function save_final_result

tests/leetcode_reflection_agent.py:1247–1277  ·  view source on GitHub ↗

保存最终结果到jsonl

(task: Task, benchmark: Any, save_dir: str)

Source from the content-addressed store, hash-verified

1245
1246
1247async def save_final_result(task: Task, benchmark: Any, save_dir: str):
1248 """保存最终结果到jsonl"""
1249 from src.benchmark.types import Result
1250
1251 best_eval = task.extra.get("best_eval_result", {})
1252
1253 result = Result(
1254 task_id=task.task_id,
1255 prompt=task.input,
1256 prediction=best_eval.get("status", "Unknown"),
1257 answer="None",
1258 score=task.score or 0.0,
1259 metrics={
1260 "final_round": task.extra.get("final_round", MAX_REFLECTION_ROUNDS),
1261 "stop_reason": task.extra.get("stop_reason", "Unknown"),
1262 "best_score": task.extra.get("best_score", 0.0),
1263 "passed_cases": best_eval.get("passed_cases", 0),
1264 "total_cases": best_eval.get("total_cases", 0),
1265 "runtime": best_eval.get("runtime", 0),
1266 "runtime_beats": best_eval.get("runtime_beats", 0.0),
1267 "memory_usage": best_eval.get("memory_usage", 0),
1268 "memory_beats": best_eval.get("memory_beats", 0.0),
1269 "inference_time": task.extra.get("inference_time", 0.0),
1270 },
1271 extra=None,
1272 start_time=task.extra.get("inference_start_time", time.time()),
1273 end_time=time.time(),
1274 spend_time=task.extra.get("inference_time", 0.0)
1275 )
1276
1277 await benchmark._submitter.save_result(result)
1278
1279
1280def summarize_results(benchmark_name: str):

Callers 1

process_taskFunction · 0.70

Calls 3

ResultClass · 0.90
getMethod · 0.45
save_resultMethod · 0.45

Tested by

no test coverage detected