from fastapi import FastAPI
from fastapi.middleware.cors import CORSMiddleware
from fastapi.middleware.gzip import GZipMiddleware
from core.db import db_handler
from api import router_scam, router_currency, router_intel, router_citizen

from contextlib import asynccontextmanager

@asynccontextmanager
async def lifespan(app: FastAPI):
    # Startup
    await db_handler.connect()
    yield
    # Shutdown
    await db_handler.disconnect()

app = FastAPI(
    title="JanRakshak ML Backend",
    description="Multi-stage machine learning backend using FastAPI deployed on Modal.",
    version="1.0.0",
    lifespan=lifespan
)

# Compression configuration for large JSON payloads
app.add_middleware(GZipMiddleware, minimum_size=1000)

# CORS configuration
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"], # Adjust in production
    allow_credentials=False,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Include routers
app.include_router(router_scam.router)
app.include_router(router_currency.router)
app.include_router(router_intel.router)
app.include_router(router_citizen.router)

@app.get("/")
async def root():
    return {"message": "Welcome to JanRakshak ML Backend. APIs are under /api/v1"}