113 lines
4.3 KiB
Python
113 lines
4.3 KiB
Python
import os
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import urllib
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from fastapi import File, Form, UploadFile
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from server.utils import BaseResponse, ListResponse
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from server.knowledge_base.utils import (validate_kb_name)
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from fastapi.responses import StreamingResponse
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import json
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from server.knowledge_base.knowledge_file import KnowledgeFile
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from server.knowledge_base.knowledge_base import KnowledgeBase
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async def list_docs(knowledge_base_name: str):
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if not validate_kb_name(knowledge_base_name):
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return ListResponse(code=403, msg="Don't attack me", data=[])
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knowledge_base_name = urllib.parse.unquote(knowledge_base_name)
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if not KnowledgeBase.exists(knowledge_base_name=knowledge_base_name):
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return ListResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}", data=[])
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else:
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all_doc_names = KnowledgeBase.load(knowledge_base_name=knowledge_base_name).list_docs()
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return ListResponse(data=all_doc_names)
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async def upload_doc(file: UploadFile = File(description="上传文件"),
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knowledge_base_name: str = Form(..., description="知识库名称", example="kb1"),
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override: bool = Form(False, description="覆盖已有文件", example=False),
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):
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if not validate_kb_name(knowledge_base_name):
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return BaseResponse(code=403, msg="Don't attack me")
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if not KnowledgeBase.exists(knowledge_base_name=knowledge_base_name):
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return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
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kb = KnowledgeBase.load(knowledge_base_name=knowledge_base_name)
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file_content = await file.read() # 读取上传文件的内容
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kb_file = KnowledgeFile(filename=file.filename,
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knowledge_base_name=knowledge_base_name)
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if (os.path.exists(kb_file.filepath)
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and not override
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and os.path.getsize(kb_file.filepath) == len(file_content)
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):
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# TODO: filesize 不同后的处理
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file_status = f"文件 {kb_file.filename} 已存在。"
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return BaseResponse(code=404, msg=file_status)
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try:
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with open(kb_file.filepath, "wb") as f:
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f.write(file_content)
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except Exception as e:
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return BaseResponse(code=500, msg=f"{kb_file.filename} 文件上传失败，报错信息为: {e}")
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kb.add_doc(kb_file)
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return BaseResponse(code=200, msg=f"成功上传文件 {kb_file.filename}")
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async def delete_doc(knowledge_base_name: str,
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doc_name: str,
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):
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if not validate_kb_name(knowledge_base_name):
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return BaseResponse(code=403, msg="Don't attack me")
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knowledge_base_name = urllib.parse.unquote(knowledge_base_name)
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if not KnowledgeBase.exists(knowledge_base_name=knowledge_base_name):
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return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
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kb = KnowledgeBase.load(knowledge_base_name=knowledge_base_name)
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if not kb.exist_doc(doc_name):
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return BaseResponse(code=404, msg=f"未找到文件 {doc_name}")
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kb_file = KnowledgeFile(filename=doc_name,
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knowledge_base_name=knowledge_base_name)
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kb.delete_doc(kb_file)
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return BaseResponse(code=200, msg=f"{kb_file.filename} 文件删除成功")
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# return BaseResponse(code=500, msg=f"{kb_file.filename} 文件删除失败")
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async def update_doc():
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# TODO: 替换文件
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# refresh_vs_cache(knowledge_base_name)
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pass
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async def download_doc():
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# TODO: 下载文件
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pass
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async def recreate_vector_store(knowledge_base_name: str):
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'''
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recreate vector store from the content.
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this is usefull when user can copy files to content folder directly instead of upload through network.
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'''
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kb = KnowledgeBase.load(knowledge_base_name=knowledge_base_name)
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async def output(kb: KnowledgeBase):
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kb.recreate_vs()
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print(f"start to recreate vector store of {kb.kb_name}")
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docs = kb.list_docs()
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for i, filename in enumerate(docs):
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kb_file = KnowledgeFile(filename=filename,
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knowledge_base_name=kb.kb_name)
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print(f"processing {kb_file.filepath} to vector store.")
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kb.add_doc(kb_file)
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yield json.dumps({
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"total": len(docs),
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"finished": i + 1,
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"doc": filename,
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})
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return StreamingResponse(output(kb), media_type="text/event-stream")
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