278 lines
11 KiB
Python
278 lines
11 KiB
Python
|
import urllib, os, json, traceback
|
|||
|
|
from typing import List, Dict
|
|||
|
|
from loguru import logger
|
|||
|
|
|
|||
|
|
from fastapi.responses import StreamingResponse, FileResponse
|
|||
|
|
from fastapi import Body, File, Form, Body, Query, UploadFile
|
|||
|
|
from langchain.docstore.document import Document
|
|||
|
|
|
|||
|
|
from .service_factory import KBServiceFactory
|
|||
|
|
from dev_opsgpt.utils.server_utils import BaseResponse, ListResponse
|
|||
|
|
from dev_opsgpt.utils.path_utils import *
|
|||
|
|
from dev_opsgpt.orm.commands import *
|
|||
|
|
from dev_opsgpt.orm.utils import DocumentFile
|
|||
|
|
from configs.model_config import (
|
|||
|
|
DEFAULT_VS_TYPE, EMBEDDING_MODEL, VECTOR_SEARCH_TOP_K, SCORE_THRESHOLD
|
|||
|
|
)
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def list_kbs():
|
|||
|
|
# Get List of Knowledge Base
|
|||
|
|
return ListResponse(data=list_kbs_from_db())
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def create_kb(knowledge_base_name: str = Body(..., examples=["samples"]),
|
|||
|
|
vector_store_type: str = Body("faiss"),
|
|||
|
|
embed_model: str = Body(EMBEDDING_MODEL),
|
|||
|
|
) -> BaseResponse:
|
|||
|
|
# 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")
|
|||
|
|
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is not None:
|
|||
|
|
return BaseResponse(code=404, msg=f"已存在同名知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
kb = KBServiceFactory.get_service(knowledge_base_name, vector_store_type, embed_model)
|
|||
|
|
try:
|
|||
|
|
kb.create_kb()
|
|||
|
|
except Exception as e:
|
|||
|
|
print(e)
|
|||
|
|
return BaseResponse(code=500, msg=f"创建知识库出错： {e}")
|
|||
|
|
|
|||
|
|
return BaseResponse(code=200, msg=f"已新增知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def delete_kb(
|
|||
|
|
knowledge_base_name: str = Body(..., examples=["samples"])
|
|||
|
|
) -> BaseResponse:
|
|||
|
|
# 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)
|
|||
|
|
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
|
|||
|
|
if kb is None:
|
|||
|
|
return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
status = kb.clear_vs()
|
|||
|
|
status = kb.drop_kb()
|
|||
|
|
if status:
|
|||
|
|
return BaseResponse(code=200, msg=f"成功删除知识库 {knowledge_base_name}")
|
|||
|
|
except Exception as e:
|
|||
|
|
print(e)
|
|||
|
|
return BaseResponse(code=500, msg=f"删除知识库时出现意外： {e}")
|
|||
|
|
|
|||
|
|
return BaseResponse(code=500, msg=f"删除知识库失败 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
|
|||
|
|
|
|||
|
|
class DocumentWithScore(Document):
|
|||
|
|
score: float = None
|
|||
|
|
|
|||
|
|
|
|||
|
|
def search_docs(query: str = Body(..., description="用户输入", examples=["你好"]),
|
|||
|
|
knowledge_base_name: str = Body(..., description="知识库名称", examples=["samples"]),
|
|||
|
|
top_k: int = Body(VECTOR_SEARCH_TOP_K, description="匹配向量数"),
|
|||
|
|
score_threshold: float = Body(SCORE_THRESHOLD, description="知识库匹配相关度阈值，取值范围在0-1之间，SCORE越小，相关度越高，取到1相当于不筛选，建议设置在0.5左右", ge=0, le=1),
|
|||
|
|
) -> List[DocumentWithScore]:
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is None:
|
|||
|
|
return []
|
|||
|
|
docs = kb.search_docs(query, top_k, score_threshold)
|
|||
|
|
data = [DocumentWithScore(**x[0].dict(), score=x[1]) for x in docs]
|
|||
|
|
|
|||
|
|
return data
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def list_docs(
|
|||
|
|
knowledge_base_name: str
|
|||
|
|
) -> ListResponse:
|
|||
|
|
if not validate_kb_name(knowledge_base_name):
|
|||
|
|
return ListResponse(code=403, msg="Don't attack me", data=[])
|
|||
|
|
|
|||
|
|
knowledge_base_name = urllib.parse.unquote(knowledge_base_name)
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is None:
|
|||
|
|
return ListResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}", data=[])
|
|||
|
|
else:
|
|||
|
|
all_doc_names = kb.list_docs()
|
|||
|
|
return ListResponse(data=all_doc_names)
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def upload_doc(file: UploadFile = File(..., description="上传文件"),
|
|||
|
|
knowledge_base_name: str = Form(..., description="知识库名称", examples=["kb1"]),
|
|||
|
|
override: bool = Form(False, description="覆盖已有文件"),
|
|||
|
|
not_refresh_vs_cache: bool = Form(False, description="暂不保存向量库（用于FAISS）"),
|
|||
|
|
) -> BaseResponse:
|
|||
|
|
if not validate_kb_name(knowledge_base_name):
|
|||
|
|
return BaseResponse(code=403, msg="Don't attack me")
|
|||
|
|
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is None:
|
|||
|
|
return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
file_content = await file.read() # 读取上传文件的内容
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
kb_file = DocumentFile(filename=file.filename,
|
|||
|
|
knowledge_base_name=knowledge_base_name)
|
|||
|
|
|
|||
|
|
if (os.path.exists(kb_file.filepath)
|
|||
|
|
and not override
|
|||
|
|
and os.path.getsize(kb_file.filepath) == len(file_content)
|
|||
|
|
):
|
|||
|
|
# TODO: filesize 不同后的处理
|
|||
|
|
file_status = f"文件 {kb_file.filename} 已存在。"
|
|||
|
|
return BaseResponse(code=404, msg=file_status)
|
|||
|
|
|
|||
|
|
with open(kb_file.filepath, "wb") as f:
|
|||
|
|
f.write(file_content)
|
|||
|
|
except Exception as e:
|
|||
|
|
logger.error(traceback.format_exc())
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 文件上传失败，报错信息为: {e}")
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
kb.add_doc(kb_file, not_refresh_vs_cache=not_refresh_vs_cache)
|
|||
|
|
except Exception as e:
|
|||
|
|
logger.error(traceback.format_exc())
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 文件向量化失败，报错信息为: {e}")
|
|||
|
|
|
|||
|
|
return BaseResponse(code=200, msg=f"成功上传文件 {kb_file.filename}")
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def delete_doc(knowledge_base_name: str = Body(..., examples=["samples"]),
|
|||
|
|
doc_name: str = Body(..., examples=["file_name.md"]),
|
|||
|
|
delete_content: bool = Body(False),
|
|||
|
|
not_refresh_vs_cache: bool = Body(False, description="暂不保存向量库（用于FAISS）"),
|
|||
|
|
) -> BaseResponse:
|
|||
|
|
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)
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is None:
|
|||
|
|
return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
if not kb.exist_doc(doc_name):
|
|||
|
|
return BaseResponse(code=404, msg=f"未找到文件 {doc_name}")
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
kb_file = DocumentFile(filename=doc_name,
|
|||
|
|
knowledge_base_name=knowledge_base_name)
|
|||
|
|
kb.delete_doc(kb_file, delete_content, not_refresh_vs_cache=not_refresh_vs_cache)
|
|||
|
|
except Exception as e:
|
|||
|
|
print(e)
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 文件删除失败，错误信息：{e}")
|
|||
|
|
|
|||
|
|
return BaseResponse(code=200, msg=f"{kb_file.filename} 文件删除成功")
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def update_doc(
|
|||
|
|
knowledge_base_name: str = Body(..., examples=["samples"]),
|
|||
|
|
file_name: str = Body(..., examples=["file_name"]),
|
|||
|
|
not_refresh_vs_cache: bool = Body(False, description="暂不保存向量库（用于FAISS）"),
|
|||
|
|
) -> BaseResponse:
|
|||
|
|
'''
|
|||
|
|
更新知识库文档
|
|||
|
|
'''
|
|||
|
|
if not validate_kb_name(knowledge_base_name):
|
|||
|
|
return BaseResponse(code=403, msg="Don't attack me")
|
|||
|
|
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is None:
|
|||
|
|
return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
kb_file = DocumentFile(filename=file_name,
|
|||
|
|
knowledge_base_name=knowledge_base_name)
|
|||
|
|
if os.path.exists(kb_file.filepath):
|
|||
|
|
kb.update_doc(kb_file, not_refresh_vs_cache=not_refresh_vs_cache)
|
|||
|
|
return BaseResponse(code=200, msg=f"成功更新文件 {kb_file.filename}")
|
|||
|
|
except Exception as e:
|
|||
|
|
logger.error(traceback.format_exc())
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 文件更新失败，错误信息是：{e}")
|
|||
|
|
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 文件更新失败")
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def download_doc(
|
|||
|
|
knowledge_base_name: str = Query(..., examples=["samples"]),
|
|||
|
|
file_name: str = Query(..., examples=["test.txt"]),
|
|||
|
|
):
|
|||
|
|
'''
|
|||
|
|
下载知识库文档
|
|||
|
|
'''
|
|||
|
|
if not validate_kb_name(knowledge_base_name):
|
|||
|
|
return BaseResponse(code=403, msg="Don't attack me")
|
|||
|
|
|
|||
|
|
kb = KBServiceFactory.get_service_by_name(knowledge_base_name)
|
|||
|
|
if kb is None:
|
|||
|
|
return BaseResponse(code=404, msg=f"未找到知识库 {knowledge_base_name}")
|
|||
|
|
|
|||
|
|
try:
|
|||
|
|
kb_file = DocumentFile(filename=file_name,
|
|||
|
|
knowledge_base_name=knowledge_base_name)
|
|||
|
|
|
|||
|
|
if os.path.exists(kb_file.filepath):
|
|||
|
|
return FileResponse(
|
|||
|
|
path=kb_file.filepath,
|
|||
|
|
filename=kb_file.filename,
|
|||
|
|
media_type="multipart/form-data")
|
|||
|
|
except Exception as e:
|
|||
|
|
print(e)
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 读取文件失败，错误信息是：{e}")
|
|||
|
|
|
|||
|
|
return BaseResponse(code=500, msg=f"{kb_file.filename} 读取文件失败")
|
|||
|
|
|
|||
|
|
|
|||
|
|
async def recreate_vector_store(
|
|||
|
|
knowledge_base_name: str = Body(..., examples=["samples"]),
|
|||
|
|
allow_empty_kb: bool = Body(True),
|
|||
|
|
vs_type: str = Body(DEFAULT_VS_TYPE),
|
|||
|
|
embed_model: str = Body(EMBEDDING_MODEL),
|
|||
|
|
):
|
|||
|
|
'''
|
|||
|
|
recreate vector store from the content.
|
|||
|
|
this is usefull when user can copy files to content folder directly instead of upload through network.
|
|||
|
|
by default, get_service_by_name only return knowledge base in the info.db and having document files in it.
|
|||
|
|
set allow_empty_kb to True make it applied on empty knowledge base which it not in the info.db or having no documents.
|
|||
|
|
'''
|
|||
|
|
|
|||
|
|
async def output():
|
|||
|
|
kb = KBServiceFactory.get_service(knowledge_base_name, vs_type, embed_model)
|
|||
|
|
if not kb.exists() and not allow_empty_kb:
|
|||
|
|
yield {"code": 404, "msg": f"未找到知识库 ‘{knowledge_base_name}’"}
|
|||
|
|
else:
|
|||
|
|
kb.create_kb()
|
|||
|
|
kb.clear_vs()
|
|||
|
|
docs = list_docs_from_folder(knowledge_base_name)
|
|||
|
|
for i, doc in enumerate(docs):
|
|||
|
|
try:
|
|||
|
|
kb_file = DocumentFile(doc, knowledge_base_name)
|
|||
|
|
yield json.dumps({
|
|||
|
|
"code": 200,
|
|||
|
|
"msg": f"({i + 1} / {len(docs)}): {doc}",
|
|||
|
|
"total": len(docs),
|
|||
|
|
"finished": i,
|
|||
|
|
"doc": doc,
|
|||
|
|
}, ensure_ascii=False)
|
|||
|
|
if i == len(docs) - 1:
|
|||
|
|
not_refresh_vs_cache = False
|
|||
|
|
else:
|
|||
|
|
not_refresh_vs_cache = True
|
|||
|
|
kb.add_doc(kb_file, not_refresh_vs_cache=not_refresh_vs_cache)
|
|||
|
|
except Exception as e:
|
|||
|
|
print(e)
|
|||
|
|
yield json.dumps({
|
|||
|
|
"code": 500,
|
|||
|
|
"msg": f"添加文件‘{doc}’到知识库‘{knowledge_base_name}’时出错：{e}。已跳过。",
|
|||
|
|
})
|
|||
|
|
|
|||
|
|
return StreamingResponse(output(), media_type="text/event-stream")
|