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构建并部署 AI Agent 服务 / deploy (push) Failing after 6m50s
- 移动 main_graph/tools/ 到 deprecated/main_graph_tools/（旧架构工具） - 移动 rag_initializer.py 和 retry_utils.py 到 core/ - 清理 main_graph/nodes/ 里的旧节点到 deprecated/ - 修复 backend.py 中 create_serde 导入问题
74 lines
1.8 KiB
Python
74 lines
1.8 KiB
Python
# app/rag_initializer.py
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from ...rag.tools import create_rag_tool
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from ...rag.retriever import create_parent_hybrid_retriever
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from ...model_services import get_embedding_service
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from backend.app.logger import info, warning
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import sys
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# 全局 RAG 工具
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_rag_tool = None
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_initialized = False
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def get_rag_tool() -> callable:
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"""获取全局 RAG 工具"""
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return _rag_tool
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def is_initialized() -> bool:
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"""检查是否已初始化"""
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return _initialized
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async def init_rag_tool(force: bool = False):
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"""
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初始化 RAG 工具（注册到模块级变量，内部获取所需服务）
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Args:
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force: 是否强制重新初始化
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Returns:
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RAG 工具（@tool 装饰函数）或 None
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"""
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global _rag_tool, _initialized
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# 防止重复初始化
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if _initialized and not force:
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info("[RAG] 已初始化，跳过")
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return _rag_tool
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try:
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from backend.app.model_services.chat_services import get_chat_service
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info("🔄 正在初始化 RAG 检索系统...")
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embeddings = get_embedding_service()
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retriever = create_parent_hybrid_retriever(
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collection_name="rag_documents",
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search_k=5,
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embeddings=embeddings,
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)
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rewrite_llm = get_chat_service()
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rag_tool = create_rag_tool(
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retriever=retriever,
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llm=rewrite_llm,
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num_queries=3,
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rerank_top_n=5,
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)
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_rag_tool = rag_tool
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_initialized = True
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info(f"✅ RAG 检索工具初始化成功 (id={id(rag_tool)})")
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return rag_tool
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except Exception as e:
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warning(f"⚠️ RAG 检索工具初始化失败: {e}")
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return None
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def reset():
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"""重置（用于测试）"""
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global _rag_tool, _initialized
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_rag_tool = None
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_initialized = False
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