Langchain-Chatchat/chatchat-server/chatchat/server/api_server/kb_routes.py

from __future__ import annotations

from typing import List

from fastapi import APIRouter, Request

from chatchat.server.chat.file_chat import upload_temp_docs
from chatchat.server.knowledge_base.kb_api import list_kbs, create_kb, delete_kb
from chatchat.server.knowledge_base.kb_doc_api import (list_files, upload_docs, delete_docs,
                                            update_docs, download_doc, recreate_vector_store,
                                            search_docs, update_info)
from chatchat.server.knowledge_base.kb_summary_api import (summary_file_to_vector_store, recreate_summary_vector_store,
                                                    summary_doc_ids_to_vector_store)
from chatchat.server.utils import BaseResponse, ListResponse


kb_router = APIRouter(prefix="/knowledge_base", tags=["Knowledge Base Management"])


kb_router.get("/list_knowledge_bases",
        response_model=ListResponse,
        summary="获取知识库列表")(list_kbs)

kb_router.post("/create_knowledge_base",
            response_model=BaseResponse,
            summary="创建知识库"
            )(create_kb)

kb_router.post("/delete_knowledge_base",
            response_model=BaseResponse,
            summary="删除知识库"
            )(delete_kb)

kb_router.get("/list_files",
        response_model=ListResponse,
        summary="获取知识库内的文件列表"
        )(list_files)

kb_router.post("/search_docs",
            response_model=List[dict],
            summary="搜索知识库"
            )(search_docs)

kb_router.post("/upload_docs",
            response_model=BaseResponse,
            summary="上传文件到知识库，并/或进行向量化"
            )(upload_docs)

kb_router.post("/delete_docs",
            response_model=BaseResponse,
            summary="删除知识库内指定文件"
            )(delete_docs)

kb_router.post("/update_info",
            response_model=BaseResponse,
            summary="更新知识库介绍"
            )(update_info)

kb_router.post("/update_docs",
            response_model=BaseResponse,
            summary="更新现有文件到知识库"
            )(update_docs)

kb_router.get("/download_doc",
            summary="下载对应的知识文件")(download_doc)

kb_router.post("/recreate_vector_store",
            summary="根据content中文档重建向量库，流式输出处理进度。"
            )(recreate_vector_store)

kb_router.post("/upload_temp_docs",
            summary="上传文件到临时目录，用于文件对话。"
            )(upload_temp_docs)


summary_router = APIRouter(prefix="/kb_summary_api")
summary_router.post("/summary_file_to_vector_store",
            summary="单个知识库根据文件名称摘要"
            )(summary_file_to_vector_store)
summary_router.post("/summary_doc_ids_to_vector_store",
            summary="单个知识库根据doc_ids摘要",
            response_model=BaseResponse,
            )(summary_doc_ids_to_vector_store)
summary_router.post("/recreate_summary_vector_store",
            summary="重建单个知识库文件摘要"
            )(recreate_summary_vector_store)

kb_router.include_router(summary_router)