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72 lines
2.6 KiB
72 lines
2.6 KiB
from fastapi import APIRouter, HTTPException
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from pydantic import BaseModel, validator
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from app.services.document_service import DocumentService
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from app.services.vector_store_service import VectorStoreService
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from app.chains.rag_chain import RAGChain
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from app.core.logger import logger
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import os
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from pathlib import Path
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router = APIRouter(prefix="/rag", tags=["RAG"])
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# 初始化服务
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document_service = DocumentService()
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vector_store_service = VectorStoreService()
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rag_chain = RAGChain(vector_store_service)
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class DirectoryRequest(BaseModel):
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directory: str
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@validator('directory')
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def validate_directory(cls, v):
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# 统一路径分隔符
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path = Path(v)
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if not path.exists():
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raise ValueError(f"路径不存在: {v}")
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if not path.is_file() and not path.is_dir():
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raise ValueError(f"无效的路径: {v}")
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return str(path.absolute())
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class QuestionRequest(BaseModel):
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question: str
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@router.post("/upload")
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async def upload_documents(request: DirectoryRequest):
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"""上传并处理文档"""
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try:
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logger.info(f"开始处理文档: {request.directory}")
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# 处理文档
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documents = document_service.process_documents(request.directory)
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if not documents:
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return {"message": "没有新的文档需要处理"}
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# 添加到向量存储
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vector_store_service.add_documents(documents)
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logger.info(f"成功处理 {len(documents)} 个文档块")
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return {"message": f"成功处理 {len(documents)} 个文档块"}
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except Exception as e:
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logger.error(f"处理文档时发生错误: {str(e)}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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@router.post("/query")
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async def query(request: QuestionRequest):
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"""查询问题"""
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try:
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result = rag_chain.query(request.question)
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return {
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"answer": result["result"],
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"sources": [doc.page_content for doc in result["source_documents"]]
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}
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except Exception as e:
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logger.error(f"查询问题时发生错误: {str(e)}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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@router.post("/clear")
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async def clear_vector_store():
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"""清空向量存储"""
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try:
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vector_store_service.clear()
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document_service.clear_processed_files() # 同时清空文件处理记录
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return {"message": "向量存储和文件处理记录已清空"}
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except Exception as e:
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logger.error(f"清空向量存储时发生错误: {str(e)}", exc_info=True)
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raise HTTPException(status_code=500, detail=str(e))
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