selfrelease
5278190750
- 后端: 凭证生成引擎、金蝶导出器、凭证模板服务 - 后端: 成本分析服务、AI问答服务 - 后端: 科目映射CRUD API、分析API、QA API - 后端: 集成测试(认证/任务/凭证) 49个测试全部通过 - 前端: 凭证管理、成本分析、导出中心、知识库、系统设置页面 - 前端: AuthGuard认证守卫、Dashboard AI聊天功能 - 前端: Playwright E2E测试 16 passed, 1 skipped - 基础设施: Docker Compose、Nginx反向代理、.env.example - 文档: 用户手册、管理员手册、发布检查清单
69 lines
1.7 KiB
Python
69 lines
1.7 KiB
Python
"""
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问答 API
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提供预置问题列表和问题回答接口
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"""
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from typing import List
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from fastapi import APIRouter, Depends, HTTPException, Body
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from pydantic import BaseModel
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from sqlalchemy.ext.asyncio import AsyncSession
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from app.core.database import get_db
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from app.core.tenant import get_current_company_id
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from app.services.ai.qa_service import QAService
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router = APIRouter(prefix="/api/qa", tags=["问答"])
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class QuestionRequest(BaseModel):
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"""问题请求"""
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task_id: int
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question: str
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context: str = ""
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class QuestionResponse(BaseModel):
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"""问题响应"""
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answer: str
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data_points: List[str] = []
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class SuggestedQuestionsResponse(BaseModel):
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"""建议问题响应"""
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questions: List[str]
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@router.get("/suggested-questions", response_model=SuggestedQuestionsResponse)
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async def get_suggested_questions(
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task_id: int,
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context: str = "",
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db: AsyncSession = Depends(get_db),
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company_id: int = Depends(get_current_company_id),
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) -> SuggestedQuestionsResponse:
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"""
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获取预置问题列表
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根据任务状态返回合适的预置问题
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"""
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service = QAService(db)
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questions = await service.get_suggested_questions(task_id, context)
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return SuggestedQuestionsResponse(questions=questions)
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@router.post("/ask", response_model=QuestionResponse)
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async def ask_question(
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request: QuestionRequest,
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db: AsyncSession = Depends(get_db),
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company_id: int = Depends(get_current_company_id),
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) -> QuestionResponse:
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"""
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回答用户问题
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基于真实数据回答预置问题
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"""
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service = QAService(db)
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answer = await service.answer_preset_question(request.task_id, request.question)
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return QuestionResponse(answer=answer, data_points=[])
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