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Langchain-Chatchat
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Merge branch 'dev' of github.com:chatchat-space/Langchain-Chatchat into dev

This commit is contained in:
hzg0601 2023-08-15 15:34:50 +08:00
parent 116302f3b5 7c0e9c46db
commit b40beac1a8
4 changed files with 105 additions and 39 deletions
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30
server/chat/openai_chat.py
View File

@ -1,7 +1,7 @@
from fastapi.responses import StreamingResponse
from typing import List
import openai
from configs.model_config import llm_model_dict, LLM_MODEL
from configs.model_config import llm_model_dict, LLM_MODEL, logger
from pydantic import BaseModel
@ -33,19 +33,23 @@ async def openai_chat(msg: OpenAiChatMsgIn):
data = msg.dict()
data["streaming"] = True
data.pop("stream")
response = openai.ChatCompletion.create(**data)
if msg.stream:
for chunk in response.choices[0].message.content:
print(chunk)
yield chunk
else:
answer = ""
for chunk in response.choices[0].message.content:
answer += chunk
print(answer)
yield(answer)
try:
response = openai.ChatCompletion.create(**data)
if msg.stream:
for chunk in response.choices[0].message.content:
print(chunk)
yield chunk
else:
answer = ""
for chunk in response.choices[0].message.content:
answer += chunk
print(answer)
yield(answer)
except Exception as e:
print(type(e))
logger.error(e)
return StreamingResponse(
get_response(msg),
media_type='text/event-stream',

7
webui_pages/dialogue/dialogue.py
View File

@ -98,6 +98,9 @@ def dialogue_page(api: ApiRequest):
text = ""
r = api.chat_chat(prompt, history)
for t in r:
if error_msg := check_error_msg(t): # check whether error occured
st.error(error_msg)
break
text += t
chat_box.update_msg(text)
chat_box.update_msg(text, streaming=False) # 更新最终的字符串，去除光标
@ -109,6 +112,8 @@ def dialogue_page(api: ApiRequest):
])
text = ""
for d in api.knowledge_base_chat(prompt, selected_kb, kb_top_k, history):
if error_msg := check_error_msg(t): # check whether error occured
st.error(error_msg)
text += d["answer"]
chat_box.update_msg(text, 0)
chat_box.update_msg("\n\n".join(d["docs"]), 1, streaming=False)
@ -120,6 +125,8 @@ def dialogue_page(api: ApiRequest):
])
text = ""
for d in api.search_engine_chat(prompt, search_engine, se_top_k):
if error_msg := check_error_msg(t): # check whether error occured
st.error(error_msg)
text += d["answer"]
chat_box.update_msg(text, 0)
chat_box.update_msg("\n\n".join(d["docs"]), 1, streaming=False)

2
webui_pages/knowledge_base/knowledge_base.py
View File

@ -119,8 +119,6 @@ def knowledge_base_page(api: ApiRequest):
elif selected_kb:
kb = selected_kb["kb_name"]
# 上传文件
# sentence_size = st.slider("文本入库分句长度限制", 1, 1000, SENTENCE_SIZE, disabled=True)
files = st.file_uploader("上传知识文件",

105
webui_pages/utils.py
View File

@ -8,6 +8,7 @@ from configs.model_config import (
LLM_MODEL,
VECTOR_SEARCH_TOP_K,
SEARCH_ENGINE_TOP_K,
logger,
)
import httpx
import asyncio
@ -24,6 +25,7 @@ from configs.model_config import NLTK_DATA_PATH
import nltk
nltk.data.path = [NLTK_DATA_PATH] + nltk.data.path
def set_httpx_timeout(timeout=60.0):
'''
设置httpx默认timeout到60秒。
@ -80,7 +82,8 @@ class ApiRequest:
return httpx.stream("GET", url, params=params, **kwargs)
else:
return httpx.get(url, params=params, **kwargs)
except:
except Exception as e:
logger.error(e)
retry -= 1
async def aget(
@ -100,7 +103,8 @@ class ApiRequest:
return await client.stream("GET", url, params=params, **kwargs)
else:
return await client.get(url, params=params, **kwargs)
except:
except Exception as e:
logger.error(e)
retry -= 1
def post(
@ -121,7 +125,8 @@ class ApiRequest:
return httpx.stream("POST", url, data=data, json=json, **kwargs)
else:
return httpx.post(url, data=data, json=json, **kwargs)
except:
except Exception as e:
logger.error(e)
retry -= 1
async def apost(
@ -142,7 +147,8 @@ class ApiRequest:
return await client.stream("POST", url, data=data, json=json, **kwargs)
else:
return await client.post(url, data=data, json=json, **kwargs)
except:
except Exception as e:
logger.error(e)
retry -= 1
def delete(
@ -162,7 +168,8 @@ class ApiRequest:
return httpx.stream("DELETE", url, data=data, json=json, **kwargs)
else:
return httpx.delete(url, data=data, json=json, **kwargs)
except:
except Exception as e:
logger.error(e)
retry -= 1
async def adelete(
@ -183,7 +190,8 @@ class ApiRequest:
return await client.stream("DELETE", url, data=data, json=json, **kwargs)
else:
return await client.delete(url, data=data, json=json, **kwargs)
except:
except Exception as e:
logger.error(e)
retry -= 1
def _fastapi_stream2generator(self, response: StreamingResponse, as_json: bool =False):
@ -195,11 +203,14 @@ class ApiRequest:
except:
loop = asyncio.new_event_loop()
for chunk in iter_over_async(response.body_iterator, loop):
if as_json and chunk:
yield json.loads(chunk)
elif chunk.strip():
yield chunk
try:
for chunk in iter_over_async(response.body_iterator, loop):
if as_json and chunk:
yield json.loads(chunk)
elif chunk.strip():
yield chunk
except Exception as e:
logger.error(e)
def _httpx_stream2generator(
self,
@ -209,12 +220,31 @@ class ApiRequest:
'''
将httpx.stream返回的GeneratorContextManager转化为普通生成器
'''
with response as r:
for chunk in r.iter_text(None):
if as_json and chunk:
yield json.loads(chunk)
elif chunk.strip():
yield chunk
try:
with response as r:
for chunk in r.iter_text(None):
if not chunk: # openai api server communicating error
msg = f"API通信超时，请确认已启动FastChat与API服务（详见README '5. 启动 API 服务或 Web UI'）"
logger.error(msg)
yield {"code": 500, "errorMsg": msg}
break
if as_json and chunk:
yield json.loads(chunk)
elif chunk.strip():
yield chunk
except httpx.ConnectError as e:
msg = f"无法连接API服务器，请确认已执行python server\\api.py"
logger.error(msg)
logger.error(e)
yield {"code": 500, "errorMsg": msg}
except httpx.ReadTimeout as e:
msg = f"API通信超时，请确认已启动FastChat与API服务（详见RADME '5. 启动 API 服务或 Web UI'）"
logger.error(msg)
logger.error(e)
yield {"code": 500, "errorMsg": msg}
except Exception as e:
logger.error(e)
yield {"code": 500, "errorMsg": str(e)}
# 对话相关操作
@ -353,6 +383,21 @@ class ApiRequest:
# 知识库相关操作
def _check_httpx_json_response(
self,
response: httpx.Response,
errorMsg: str = f"无法连接API服务器，请确认已执行python server\\api.py",
) -> Dict:
'''
check whether httpx returns correct data with normal Response.
error in api with streaming support was checked in _httpx_stream2enerator
'''
try:
return response.json()
except Exception as e:
logger.error(e)
return {"code": 500, "errorMsg": errorMsg or str(e)}
def list_knowledge_bases(
self,
no_remote_api: bool = None,
@ -369,7 +414,8 @@ class ApiRequest:
return response.data
else:
response = self.get("/knowledge_base/list_knowledge_bases")
return response.json().get("data")
data = self._check_httpx_json_response(response)
return data.get("data", [])
def create_knowledge_base(
self,
@ -399,7 +445,7 @@ class ApiRequest:
"/knowledge_base/create_knowledge_base",
json=data,
)
return response.json()
return self._check_httpx_json_response(response)
def delete_knowledge_base(
self,
@ -421,7 +467,7 @@ class ApiRequest:
"/knowledge_base/delete_knowledge_base",
json=f"{knowledge_base_name}",
)
return response.json()
return self._check_httpx_json_response(response)
def list_kb_docs(
self,
@ -443,7 +489,8 @@ class ApiRequest:
"/knowledge_base/list_docs",
params={"knowledge_base_name": knowledge_base_name}
)
return response.json().get("data")
data = self._check_httpx_json_response(response)
return data.get("data", [])
def upload_kb_doc(
self,
@ -487,7 +534,7 @@ class ApiRequest:
data={"knowledge_base_name": knowledge_base_name, "override": override},
files={"file": (filename, file)},
)
return response.json()
return self._check_httpx_json_response(response)
def delete_kb_doc(
self,
@ -517,7 +564,7 @@ class ApiRequest:
"/knowledge_base/delete_doc",
json=data,
)
return response.json()
return self._check_httpx_json_response(response)
def update_kb_doc(
self,
@ -540,7 +587,7 @@ class ApiRequest:
"/knowledge_base/update_doc",
json={"knowledge_base_name": knowledge_base_name, "file_name": file_name},
)
return response.json()
return self._check_httpx_json_response(response)
def recreate_vector_store(
self,
@ -572,10 +619,20 @@ class ApiRequest:
"/knowledge_base/recreate_vector_store",
json=data,
stream=True,
timeout=False,
)
return self._httpx_stream2generator(response, as_json=True)
def check_error_msg(data: Union[str, dict, list], key: str = "errorMsg") -> str:
'''
return error message if error occured when requests API
'''
if isinstance(data, dict) and key in data:
return data[key]
return ""
if __name__ == "__main__":
api = ApiRequest(no_remote_api=True)