deploy.sh

#!/bin/bash

# TrainVision AI Deployment Script

set -e

echo "🚂 TrainVision AI Deployment Script"
echo "=================================="

# Check if .env.production exists
if [ ! -f .env.production ]; then
    echo "❌ Error: .env.production file not found!"
    echo "Please copy .env.production.example to .env.production and configure it."
    exit 1
fi

# Load environment variables
source .env.production

# Check required environment variables
if [ -z "$GEMINI_API_KEY" ]; then
    echo "❌ Error: GEMINI_API_KEY not set in .env.production"
    exit 1
fi

echo "✅ Environment variables loaded"

# Build and start services
echo "🔨 Building Docker images..."
docker-compose -f docker-compose.prod.yml build

echo "🚀 Starting services..."
docker-compose -f docker-compose.prod.yml up -d

echo "⏳ Waiting for services to be healthy..."
sleep 30

# Check service health
echo "🔍 Checking service health..."
if docker-compose -f docker-compose.prod.yml ps | grep -q "Up (healthy)"; then
    echo "✅ Services are running and healthy!"
    echo ""
    echo "🌐 Application URLs:"
    echo "Frontend: http://localhost (or your configured domain)"
    echo "Backend API: http://localhost:8000"
    echo "API Documentation: http://localhost:8000/docs"
    echo ""
    echo "🎉 Deployment completed successfully!"
else
    echo "❌ Some services are not healthy. Check logs:"
    docker-compose -f docker-compose.prod.yml logs
    exit 1
fi