刘金宝
40 lines
1.5 KiB
Python
40 lines
1.5 KiB
Python
from fastapi import APIRouter, Depends
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from sqlalchemy.orm import Session
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from starlette.responses import StreamingResponse
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from app.core.response import ApiResponse, ok
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from app.core.user_context import UserContext, get_user_context
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from app.db.session import get_db
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from app.schemas.learning_assistant import LearningAssistantChatRequest, LearningAssistantChatResponse
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from app.services.learning_assistant_service import LearningAssistantService
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router = APIRouter()
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@router.post("/chat", response_model=ApiResponse[LearningAssistantChatResponse], include_in_schema=False)
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async def learning_assistant_chat(
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payload: LearningAssistantChatRequest,
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ctx: UserContext = Depends(get_user_context),
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db: Session = Depends(get_db),
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):
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"""AI 学习助手调试接口：非流式返回回答，正式前端联调使用流式接口。"""
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result = await LearningAssistantService(db).chat(ctx, payload)
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db.commit()
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return ok(result)
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@router.post("/chat/stream", response_class=StreamingResponse)
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async def learning_assistant_stream_chat(
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payload: LearningAssistantChatRequest,
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ctx: UserContext = Depends(get_user_context),
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db: Session = Depends(get_db),
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):
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"""AI 学习助手流式问答：返回 retrieval_done、answer_delta、answer_done 事件。"""
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stream = LearningAssistantService(db).stream_chat(ctx, payload)
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db.commit()
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return StreamingResponse(
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stream,
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media_type="text/event-stream",
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headers={"Cache-Control": "no-cache", "Connection": "keep-alive", "X-Accel-Buffering": "no"},
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)
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