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fix: display error info while starting chat question

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This commit is contained in:
ulleo
2025-09-03 17:51:50 +08:00
parent 0c2e26e0d1
commit bcb192f77d
1 changed files with 35 additions and 38 deletions
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backend/apps/chat/api/chat.py
+35 -38
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@@ -3,6 +3,7 @@ import io
import traceback
import numpy as np
import orjson
import pandas as pd
from fastapi import APIRouter, HTTPException
from fastapi.responses import StreamingResponse
@@ -147,10 +148,11 @@ async def stream_sql(session: SessionDep, current_user: CurrentUser, request_que
llm_service.run_task_async()
except Exception as e:
traceback.print_exc()
raise HTTPException(
status_code=500,
detail=str(e)
)
def _err(_e: Exception):
yield 'data:' + orjson.dumps({'content': str(_e), 'type': 'error'}).decode() + '\n\n'
return StreamingResponse(_err(e), media_type="text/event-stream")
return StreamingResponse(llm_service.await_result(), media_type="text/event-stream")
@@ -158,45 +160,40 @@ async def stream_sql(session: SessionDep, current_user: CurrentUser, request_que
@router.post("/record/{chat_record_id}/{action_type}")
async def analysis_or_predict(session: SessionDep, current_user: CurrentUser, chat_record_id: int, action_type: str,
current_assistant: CurrentAssistant):
if action_type != 'analysis' and action_type != 'predict':
raise HTTPException(
status_code=404,
detail="Not Found"
)
record: ChatRecord | None = None
stmt = select(ChatRecord.id, ChatRecord.question, ChatRecord.chat_id, ChatRecord.datasource, ChatRecord.engine_type,
ChatRecord.ai_modal_id, ChatRecord.create_by, ChatRecord.chart, ChatRecord.data).where(
and_(ChatRecord.id == chat_record_id))
result = session.execute(stmt)
for r in result:
record = ChatRecord(id=r.id, question=r.question, chat_id=r.chat_id, datasource=r.datasource,
engine_type=r.engine_type, ai_modal_id=r.ai_modal_id, create_by=r.create_by, chart=r.chart,
data=r.data)
if not record:
raise HTTPException(
status_code=400,
detail=f"Chat record with id {chat_record_id} not found"
)
if not record.chart:
raise HTTPException(
status_code=500,
detail=f"Chat record with id {chat_record_id} has not generated chart, do not support to analyze it"
)
request_question = ChatQuestion(chat_id=record.chat_id, question=record.question)
try:
if action_type != 'analysis' and action_type != 'predict':
raise Exception(f"Type {action_type} Not Found")
record: ChatRecord | None = None
stmt = select(ChatRecord.id, ChatRecord.question, ChatRecord.chat_id, ChatRecord.datasource,
ChatRecord.engine_type,
ChatRecord.ai_modal_id, ChatRecord.create_by, ChatRecord.chart, ChatRecord.data).where(
and_(ChatRecord.id == chat_record_id))
result = session.execute(stmt)
for r in result:
record = ChatRecord(id=r.id, question=r.question, chat_id=r.chat_id, datasource=r.datasource,
engine_type=r.engine_type, ai_modal_id=r.ai_modal_id, create_by=r.create_by,
chart=r.chart,
data=r.data)
if not record:
raise Exception(f"Chat record with id {chat_record_id} not found")
if not record.chart:
raise Exception(
f"Chat record with id {chat_record_id} has not generated chart, do not support to analyze it")
request_question = ChatQuestion(chat_id=record.chat_id, question=record.question)
llm_service = await LLMService.create(current_user, request_question, current_assistant)
llm_service.run_analysis_or_predict_task_async(action_type, record)
except Exception as e:
traceback.print_exc()
raise HTTPException(
status_code=500,
detail=str(e)
)
def _err(_e: Exception):
yield 'data:' + orjson.dumps({'content': str(_e), 'type': 'error'}).decode() + '\n\n'
return StreamingResponse(_err(e), media_type="text/event-stream")
return StreamingResponse(llm_service.await_result(), media_type="text/event-stream")