"""
Training Service
Handles ML model training for bakery demand forecasting
"""

import structlog
from fastapi import FastAPI, BackgroundTasks
from fastapi.middleware.cors import CORSMiddleware

from app.core.config import settings
from app.core.database import database_manager
from app.api import training, models
from app.services.messaging import setup_messaging, cleanup_messaging
from shared.monitoring.logging import setup_logging
from shared.monitoring.metrics import MetricsCollector

# Setup logging
setup_logging("training-service", settings.LOG_LEVEL)
logger = structlog.get_logger()

# Create FastAPI app
app = FastAPI(
    title="Training Service",
    description="ML model training service for bakery demand forecasting",
    version="1.0.0"
)

# Initialize metrics collector
metrics_collector = MetricsCollector("training-service")

# CORS middleware
app.add_middleware(
    CORSMiddleware,
    allow_origins=["*"],
    allow_credentials=True,
    allow_methods=["*"],
    allow_headers=["*"],
)

# Include routers
app.include_router(training.router, prefix="/training", tags=["training"])
app.include_router(models.router, prefix="/models", tags=["models"])

@app.on_event("startup")
async def startup_event():
    """Application startup"""
    logger.info("Starting Training Service")
    
    # Create database tables
    await database_manager.create_tables()
    
    # Initialize message publisher
    await setup_messaging()
    
    # Start metrics server
    metrics_collector.start_metrics_server(8080)
    
    logger.info("Training Service started successfully")

@app.on_event("shutdown")
async def shutdown_event():
    """Application shutdown"""
    logger.info("Shutting down Training Service")
    
    # Cleanup message publisher
    await cleanup_messaging()
    
    logger.info("Training Service shutdown complete")

@app.get("/health")
async def health_check():
    """Health check endpoint"""
    return {
        "status": "healthy",
        "service": "training-service",
        "version": "1.0.0"
    }

if __name__ == "__main__":
    import uvicorn
    uvicorn.run(app, host="0.0.0.0", port=8000)