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

Function process_data

WebAgent/WebWalker/src/rag_system.py:230–247  ·  view source on GitHub ↗
(data)

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228 temp = {"question": item}
229 data_list.append(temp)
230 def process_data(data):
231 messages = [{"role": "system", "content": "你是 Kimi。"}, {"role": "user", "content": data["question"]}]
232 finish_reason = None
233 while finish_reason is None or finish_reason == "tool_calls":
234 choice = chat(messages)
235 finish_reason = choice.finish_reason
236 if finish_reason == "tool_calls":
237 messages.append(choice.message)
238 for tool_call in choice.message.tool_calls:
239 tool_result = search_impl(json.loads(tool_call.function.arguments))
240 messages.append({
241 "role": "tool",
242 "tool_call_id": tool_call.id,
243 "name": tool_call.function.name,
244 "content": json.dumps(tool_result),
245 })
246 data["pred"] = choice.message.content
247 return data
248
249 with tqdm(total=len(data_list)) as pbar:
250 with concurrent.futures.ThreadPoolExecutor(max_workers=MAX_WORKERS) as executor:

Callers

nothing calls this directly

Calls 2

chatFunction · 0.85
search_implFunction · 0.85

Tested by

no test coverage detected