增加了调试信息

This commit is contained in:
Tian jianyong 2025-12-17 11:50:22 +08:00
parent 86c7f5d182
commit 44630f04d3

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@ -214,8 +214,9 @@ async def converse_with_chat_assistant(
# 检查是否应该使用搜索服务 (Router Strategy)
# Using 'glm-4-flash' to classify intent: SEARCH vs RAG
t0 = time.perf_counter()
intent = await SearchService.classify_intent(converse_params.question)
logger.info(f"Intent Router ({converse_params.chat_id}): {intent} | Query: {converse_params.question}")
logger.info(f"[RAG_PROFILE] Intent Router ({converse_params.chat_id}): {intent} | Time: {time.perf_counter() - t0:.3f}s | Query: {converse_params.question}")
if intent == 'SEARCH':
return await SearchService.handle_search_chat(converse_params, redis)
@ -228,7 +229,9 @@ async def converse_with_chat_assistant(
return ResponseUtil.success(json.loads(cached))
# Revert to Native RAGFlow Service (OpenAI endpoint failed with Auth error)
t1 = time.perf_counter()
result = await RAGFlowService.converse_with_chat_assistant_services(converse_params)
logger.info(f"[RAG_PROFILE] RAG Init/Connect ({converse_params.chat_id}): {time.perf_counter() - t1:.3f}s")
if converse_params.stream:
async def stream_response():
@ -241,7 +244,7 @@ async def converse_with_chat_assistant(
if not first_token_received:
first_token_received = True
latency = time.perf_counter() - start_stream_time
logger.info(f"RAGFlow Stream Start Latency: {latency:.3f}s")
logger.info(f"[RAG_PROFILE] Time to First Token ({converse_params.chat_id}): {latency:.3f}s")
# Native RAGFlow returns cumulative text in 'answer' field
# Chunk structure: {'data': {'answer': 'Cumulative Text...'}}
@ -273,17 +276,18 @@ async def converse_with_chat_assistant(
yield format_sse({'status': 'completed'}, event='end')
except Exception as exc:
logger.exception('ragflow流式对话异常: %s', exc)
logger.exception('[RAG_PROFILE] ragflow流式对话异常: %s', exc)
yield format_sse({'message': str(exc)}, event='error')
finally:
logger.info('ragflow流式对话耗时 %.3fs', time.perf_counter() - start_time)
total_time = time.perf_counter() - start_time
logger.info(f'[RAG_PROFILE] Total Stream Duration ({converse_params.chat_id}): {total_time:.3f}s')
return StreamingResponse(stream_response(), media_type='text/event-stream')
response = parse_result(result)
if redis and cache_key and isinstance(result, dict) and result.get('code') == 0:
await redis.set(cache_key, json.dumps(result.get('data'), ensure_ascii=False), ex=60)
logger.info('ragflow对话耗时 %.3fs', time.perf_counter() - start_time)
logger.info(f'[RAG_PROFILE] Total Sync Duration ({converse_params.chat_id}): {time.perf_counter() - start_time:.3f}s')
return response