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"""FastAPI application entry point"""
from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from contextlib import asynccontextmanager
from fastapi.staticfiles import StaticFiles
from dotenv import load_dotenv
from cloudzy.database import create_db_and_tables
from cloudzy.routes import upload, photo, search
from cloudzy.search_engine import SearchEngine
import os
# Initialize search engine at startup
search_engine = None
load_dotenv()
@asynccontextmanager
async def lifespan(app: FastAPI):
"""Manage app lifecycle - startup and shutdown"""
# Startup
print("🚀 Starting Cloudzy AI service...")
create_db_and_tables()
# Initialize search engine
global search_engine
search_engine = SearchEngine()
stats = search_engine.get_stats()
print(f"📊 FAISS Index loaded: {stats}")
print("✅ Application ready!")
yield
# Shutdown
print("🛑 Shutting down Cloudzy AI service...")
# Create FastAPI app
app = FastAPI(
title="Cloudzy AI",
description="Cloud photo management with AI tagging, captioning, and semantic search",
version="1.0.0",
lifespan=lifespan,
)
# Add CORS middleware
app.add_middleware(
CORSMiddleware,
allow_origins=["*"],
allow_credentials=True,
allow_methods=["*"],
allow_headers=["*"],
)
# Include routers
app.include_router(upload.router)
app.include_router(photo.router)
app.include_router(search.router)
UPLOAD_DIR = os.path.join(os.getcwd(), "uploads")
os.makedirs(UPLOAD_DIR, exist_ok=True)
# Mount static file serving
app.mount("/uploads", StaticFiles(directory=UPLOAD_DIR), name="uploads")
@app.get("/", tags=["info"])
async def root():
"""Root endpoint - API info"""
return {
"service": "Cloudzy AI",
"version": "1.0.0",
"description": "Cloud photo management with AI tagging, captioning, and semantic search",
"endpoints": {
"upload": "POST /upload - Upload a photo",
"get_photo": "GET /photo/{id} - Get photo metadata",
"list_photos": "GET /photos - List all photos",
"search": "GET /search?q=... - Semantic search",
"image_to_image": "POST /search/image-to-image - Similar images",
"docs": "/docs - Interactive API documentation",
}
}
@app.get("/health", tags=["info"])
async def health_check():
"""Health check endpoint"""
global search_engine
stats = search_engine.get_stats() if search_engine else {}
return {
"status": "healthy",
"service": "Cloudzy AI",
"search_engine": stats,
}
if __name__ == "__main__":
import uvicorn
uvicorn.run(
"app:app",
host="0.0.0.0",
port=8000,
reload=True,
) |