增加日志
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@ -23,6 +23,12 @@ from module_admin.entity.vo.ragflow_vo import (
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from utils.log_util import logger
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from utils.response_util import ResponseUtil
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from utils.semantic_cache_service import get_semantic_cache_service, lookup_question, store_qa_pair
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def _get_question_hash(question: str) -> str:
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"""计算问题的hash值"""
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import hashlib
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normalized = question.lower().strip()
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return hashlib.md5(normalized.encode('utf-8')).hexdigest()[:16]
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from utils.static_qa_service import get_static_qa_service
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@ -30,6 +36,8 @@ async def _async_store_qa(chat_id: str, question: str, answer: str, redis) -> No
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"""
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异步存储问答对到语义缓存
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"""
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store_hash = _get_question_hash(question)
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logger.info(f"[SemanticCache] 存储QA | chat_id={chat_id} | question={question} | hash={store_hash} | answer_length={len(answer)}")
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try:
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await store_qa_pair(chat_id, question, answer, redis)
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except Exception as e:
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@ -155,7 +163,8 @@ async def converse_with_chat_assistant(
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# ========== 2. RAG历史缓存查找 ==========
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if redis:
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logger.info(f'[SemanticCache] 开始查找 | chat_id={converse_params.chat_id} | question={converse_params.question} | threshold=0.60')
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lookup_hash = _get_question_hash(converse_params.question)
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logger.info(f'[SemanticCache] 开始查找 | chat_id={converse_params.chat_id} | question={converse_params.question} | hash={lookup_hash} | threshold=0.60')
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cache_result = await lookup_question(
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converse_params.chat_id,
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converse_params.question,
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@ -220,6 +229,8 @@ async def converse_with_chat_assistant(
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if converse_params.stream:
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# 注意:存储时使用清理后的问题(与查找时保持一致)
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cache_question = cleaned_question if style_removed else converse_params.question
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store_hash = _get_question_hash(cache_question)
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logger.info(f'[RAG_CACHE] 准备存储 | chat_id={converse_params.chat_id} | question={cache_question} | hash={store_hash}')
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# 创建缓存存储回调函数
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async def make_cache_store(chat_id: str, question: str):
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