forked from zhouruizhe/gmTouringMiniApp
74 lines
2.0 KiB
Python
74 lines
2.0 KiB
Python
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from __future__ import annotations
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import os
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from pathlib import Path
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from fastapi import FastAPI, HTTPException
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from fastapi.middleware.cors import CORSMiddleware
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from .llm import LLMError, LLMNotConfigured, LLMService, LLMTimeout
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from .planner import RecommendationService
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from .schemas import (
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HealthResponse,
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PlanRecommendationRequest,
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RecommendationResponse,
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)
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try:
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from dotenv import load_dotenv
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load_dotenv(Path(__file__).resolve().parent.parent / ".env")
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except ImportError:
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# Mock mode can run without python-dotenv during minimal diagnostics.
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pass
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llm = LLMService()
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recommendation_service = RecommendationService(llm)
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app = FastAPI(
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title="光明区文旅 POI 推荐 API",
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version="0.2.0",
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description="POC：模型仅推荐客户端白名单 POI；路线和时间由客户端确定性计算。",
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)
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origins = [
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origin.strip()
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for origin in os.getenv(
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"CORS_ORIGINS", "http://localhost:5173,http://127.0.0.1:5173"
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).split(",")
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if origin.strip()
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]
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app.add_middleware(
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CORSMiddleware,
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allow_origins=origins,
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allow_credentials=False,
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allow_methods=["GET", "POST"],
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allow_headers=["content-type"],
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)
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@app.get("/api/v1/health", response_model=HealthResponse)
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async def health() -> HealthResponse:
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return HealthResponse(
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status="ok" if llm.ready else "degraded",
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mode=llm.mode,
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configured=llm.configured,
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ready=llm.ready,
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)
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@app.post("/api/v1/plans", response_model=RecommendationResponse)
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async def create_plan(
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request: PlanRecommendationRequest,
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) -> RecommendationResponse:
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try:
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return await recommendation_service.create(request)
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except LLMNotConfigured as exc:
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raise HTTPException(status_code=503, detail=str(exc)) from exc
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except LLMTimeout as exc:
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raise HTTPException(status_code=504, detail=str(exc)) from exc
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except LLMError as exc:
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raise HTTPException(status_code=502, detail=str(exc)) from exc
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