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hub / github.com/Alibaba-NLP/DeepResearch / process_data

Function process_data

WebAgent/AgentFold/infer.py:335–351  ·  view source on GitHub ↗
(data)

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333 # thread pool
334 lock = threading.Lock()
335 def process_data(data):
336 try:
337 full_traj = call_llm_with_tool(data, args)
338 final_block = full_traj.split('</think>')[-1]
339 data['final_response'] = final_block.split('<answer>')[-1].split('</answer>')[0].strip() if "<answer>" in final_block else final_block
340 data['full_traj'] = full_traj
341 with lock:
342 with open(save_path, 'a') as f:
343 f.write(json.dumps(data, ensure_ascii=False) + '\n')
344 except Exception as e:
345 print(f">> Error in processing the question: {data['question']}")
346 print(traceback.format_exc())
347 error_response = getattr(e, 'response', 'N/A')
348 with open(log_path, 'a') as f:
349 f.write(f">> Error in processing the question: {data['question']}\n")
350 f.write(traceback.format_exc() + '\n')
351 f.write(f">> Response leading to the error: {error_response}\n")
352
353 if args.sequential:
354 for data in test_data:

Callers 1

infer.pyFile · 0.70

Calls 1

call_llm_with_toolFunction · 0.85

Tested by

no test coverage detected