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data-classify-nextjs-sharp-…/scripts/deploy.sh
2026-02-25 12:40:10 +05:30

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#!/bin/bash
# Deployment script for Observation App
# This script handles the complete deployment process
set -e # Exit on any error
echo "🚀 Starting Observation App Deployment..."
# Colors for output
RED='\033[0;31m'
GREEN='\033[0;32m'
YELLOW='\033[1;33m'
BLUE='\033[0;34m'
NC='\033[0m' # No Color
# Function to print colored output
print_status() {
echo -e "${BLUE}[INFO]${NC} $1"
}
print_success() {
echo -e "${GREEN}[SUCCESS]${NC} $1"
}
print_warning() {
echo -e "${YELLOW}[WARNING]${NC} $1"
}
print_error() {
echo -e "${RED}[ERROR]${NC} $1"
}
# Check if .env file exists
if [ ! -f .env ]; then
print_error ".env file not found!"
echo "Please create .env file before deploying."
exit 1
fi
# Check if public directory exists
if [ ! -d public ]; then
print_error "public directory not found!"
echo "Please ensure public directory exists with required files."
exit 1
fi
# Check if public/db directory exists
if [ ! -d public/db ]; then
print_warning "public/db directory not found. Creating empty directory..."
mkdir -p public/db
fi
# Stop existing containers if running
print_status "Stopping existing containers..."
docker-compose down 2>/dev/null || true
# Build and start containers
print_status "Building and starting containers..."
docker-compose up --build -d
# Wait for database to be ready
print_status "Waiting for database to be ready..."
sleep 10
# Check if database is accessible
print_status "Checking database connection..."
docker-compose exec observation_db mongosh --eval "db.adminCommand('ping')" > /dev/null 2>&1
if [ $? -eq 0 ]; then
print_success "Database is ready!"
else
print_error "Database connection failed!"
exit 1
fi
# Import database if files exist in public/db
if [ "$(ls -A public/db/*.json 2>/dev/null)" ]; then
print_status "Found database files in public/db. Starting import..."
# Import each JSON file
for file in public/db/*.json; do
filename=$(basename "$file" .json)
print_status "Importing $filename..."
# Copy file to container and import
docker cp "$file" observation_app:/tmp/"$(basename "$file")"
docker-compose exec observation_app curl -X POST -F "file=@/tmp/$(basename "$file")" http://localhost:3000/api/import-json
# Clean up
docker-compose exec observation_app rm "/tmp/$(basename "$file")"
print_success "Imported $filename"
done
else
print_warning "No database files found in public/db"
fi
# Check application health
print_status "Checking application health..."
sleep 5
if curl -f http://localhost:3000/api/health > /dev/null 2>&1; then
print_success "Application is healthy!"
else
print_warning "Application health check failed, but deployment may still be successful"
fi
# Display deployment information
echo ""
print_success "🎉 Deployment completed successfully!"
echo ""
echo "📋 Service Information:"
echo " • Application URL: http://localhost:3000"
echo " • Database URL: mongodb://admin:password123@localhost:27017"
echo " • Database Name: beanstalk"
echo ""
echo "🔧 Useful Commands:"
echo " • View logs: docker-compose logs -f"
echo " • Stop services: docker-compose down"
echo " • Restart services: docker-compose restart"
echo " • Access database: docker-compose exec observation_db mongosh"
echo ""
echo "📁 Data Locations:"
echo " • Images: ./public/observations/ (copied to container)"
echo " • Database files: ./public/db/ (imported to MongoDB)"
echo " • MongoDB data: Docker volume 'mongo_data'"
echo ""
# Show container status
print_status "Container Status:"
docker-compose ps