Langchain-Chatchat/server/knowledge_base/kb_api.py

44 lines
1.8 KiB
Python

import urllib
from server.utils import BaseResponse, ListResponse
from server.knowledge_base.utils import validate_kb_name
from server.knowledge_base.knowledge_base import KnowledgeBase
async def list_kbs():
# Get List of Knowledge Base
return ListResponse(data=KnowledgeBase.list_kbs())
async def create_kb(knowledge_base_name: str,
vector_store_type: str = "faiss",
embed_model: str = "m3e-base",
):
# Create selected knowledge base
if not validate_kb_name(knowledge_base_name):
return BaseResponse(code=403, msg="Don't attack me")
if knowledge_base_name is None or knowledge_base_name.strip() == "":
return BaseResponse(code=404, msg="知识库名称不能为空,请重新填写知识库名称")
if KnowledgeBase.exists(knowledge_base_name):
return BaseResponse(code=404, msg=f"已存在同名知识库 {knowledge_base_name}")
kb = KnowledgeBase(knowledge_base_name=knowledge_base_name,
vector_store_type=vector_store_type,
embed_model=embed_model)
kb.create()
return BaseResponse(code=200, msg=f"已新增知识库 {knowledge_base_name}")
async def delete_kb(knowledge_base_name: str):
# Delete selected knowledge base
if not validate_kb_name(knowledge_base_name):
return BaseResponse(code=403, msg="Don't attack me")
knowledge_base_name = urllib.parse.unquote(knowledge_base_name)
if not KnowledgeBase.exists(knowledge_base_name):
return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
status = KnowledgeBase.delete(knowledge_base_name)
if status:
return BaseResponse(code=200, msg=f"成功删除知识库 {knowledge_base_name}")
else:
return BaseResponse(code=500, msg=f"删除知识库失败 {knowledge_base_name}")