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""" |
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FastAPI backend for crossword puzzle generator with vector similarity search. |
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""" |
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import os |
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import logging |
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import time |
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from datetime import datetime |
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from contextlib import asynccontextmanager |
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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 fastapi.staticfiles import StaticFiles |
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from fastapi.responses import FileResponse |
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import uvicorn |
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from dotenv import load_dotenv |
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from src.routes.api import router as api_router |
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from src.services.vector_search import VectorSearchService |
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load_dotenv() |
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logging.basicConfig(level=logging.INFO) |
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logger = logging.getLogger(__name__) |
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def log_with_timestamp(message): |
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"""Helper to log with precise timestamp.""" |
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timestamp = datetime.now().strftime("%H:%M:%S.%f")[:-3] |
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logger.info(f"[{timestamp}] {message}") |
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vector_service = None |
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@asynccontextmanager |
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async def lifespan(app: FastAPI): |
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"""Initialize and cleanup application resources.""" |
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global vector_service |
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startup_time = time.time() |
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log_with_timestamp("π Initializing Python backend with vector search...") |
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try: |
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service_start = time.time() |
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log_with_timestamp("π§ Creating VectorSearchService instance...") |
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vector_service = VectorSearchService() |
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log_with_timestamp("β‘ Starting vector search initialization...") |
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await vector_service.initialize() |
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init_time = time.time() - service_start |
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log_with_timestamp(f"β
Vector search service initialized in {init_time:.2f}s") |
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except Exception as e: |
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logger.error(f"β Failed to initialize vector search service: {e}") |
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app.state.vector_service = vector_service |
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yield |
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logger.info("π Shutting down Python backend...") |
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if vector_service: |
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await vector_service.cleanup() |
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app = FastAPI( |
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title="Crossword Puzzle Generator API", |
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description="Python backend with AI-powered vector similarity search", |
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version="2.0.0", |
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lifespan=lifespan |
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) |
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cors_origins = [] |
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if os.getenv("NODE_ENV") == "production": |
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cors_origins = ["*"] |
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else: |
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cors_origins = [ |
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"http://localhost:5173", |
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"http://localhost:3000", |
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"http://localhost:7860", |
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] |
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app.add_middleware( |
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CORSMiddleware, |
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allow_origins=cors_origins, |
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allow_credentials=True, |
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allow_methods=["*"], |
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allow_headers=["*"], |
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) |
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app.include_router(api_router, prefix="/api") |
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static_path = Path(__file__).parent / "public" |
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if static_path.exists(): |
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app.mount("/assets", StaticFiles(directory=static_path / "assets"), name="assets") |
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@app.get("/") |
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async def serve_frontend(): |
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"""Serve the React frontend.""" |
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index_path = static_path / "index.html" |
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if index_path.exists(): |
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return FileResponse(index_path) |
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else: |
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raise HTTPException(status_code=404, detail="Frontend not found") |
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@app.get("/{full_path:path}") |
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async def serve_spa_routes(full_path: str): |
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"""Serve React SPA routes.""" |
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if not full_path.startswith("api/"): |
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index_path = static_path / "index.html" |
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if index_path.exists(): |
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return FileResponse(index_path) |
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raise HTTPException(status_code=404, detail="Not found") |
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@app.get("/health") |
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async def health_check(): |
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"""Health check endpoint.""" |
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return { |
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"status": "healthy", |
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"backend": "python", |
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"vector_search": vector_service.is_initialized if vector_service else False |
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} |
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if __name__ == "__main__": |
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port = int(os.getenv("PORT", 7860)) |
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host = "0.0.0.0" if os.getenv("NODE_ENV") == "production" else "127.0.0.1" |
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logger.info(f"π Starting Python backend on {host}:{port}") |
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uvicorn.run( |
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"app:app", |
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host=host, |
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port=port, |
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reload=os.getenv("NODE_ENV") != "production" |
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) |