385 lines
12 KiB
Markdown
385 lines
12 KiB
Markdown
# Docker Deployment Improvements Summary
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## Changes Made
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### 1. ✅ Gunicorn Configuration (`py_app/gunicorn.conf.py`)
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**Improvements:**
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- **Environment Variable Support**: All settings now configurable via env vars
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- **Docker-Optimized**: Removed daemon mode (critical for containers)
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- **Better Logging**: Enhanced lifecycle hooks with emoji indicators
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- **Resource Management**: Worker tmp dir set to `/dev/shm` for performance
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- **Configurable Timeouts**: Increased default timeout to 120s for long operations
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- **Health Monitoring**: Comprehensive worker lifecycle callbacks
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**Key Environment Variables:**
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```bash
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GUNICORN_WORKERS=5 # Number of worker processes
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GUNICORN_WORKER_CLASS=sync # Worker type (sync, gevent, gthread)
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GUNICORN_TIMEOUT=120 # Request timeout in seconds
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GUNICORN_BIND=0.0.0.0:8781 # Bind address
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GUNICORN_LOG_LEVEL=info # Log level
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GUNICORN_PRELOAD_APP=true # Preload application
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GUNICORN_MAX_REQUESTS=1000 # Max requests before worker restart
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```
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### 2. ✅ Docker Entrypoint (`docker-entrypoint.sh`)
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**Improvements:**
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- **Robust Error Handling**: `set -e`, `set -u`, `set -o pipefail`
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- **Comprehensive Logging**: Timestamped log functions (info, success, warning, error)
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- **Environment Validation**: Checks all required variables before proceeding
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- **Smart Database Waiting**: Configurable retries with exponential backoff
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- **Health Checks**: Pre-startup validation of Python packages
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- **Signal Handlers**: Graceful shutdown on SIGTERM/SIGINT
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- **Secure Configuration**: Sets 600 permissions on database config file
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- **Better Initialization**: Separate flags for DB init and seeding
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**New Features:**
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- `DB_MAX_RETRIES` and `DB_RETRY_INTERVAL` configuration
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- `IGNORE_DB_INIT_ERRORS` and `IGNORE_SEED_ERRORS` flags
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- `SKIP_HEALTH_CHECK` for faster development startup
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- Detailed startup banner with container info
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### 3. ✅ Dockerfile (Multi-Stage Build)
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**Improvements:**
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- **Multi-Stage Build**: Separate builder and runtime stages
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- **Smaller Image Size**: Only runtime dependencies in final image
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- **Security**: Non-root user (appuser UID 1000)
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- **Better Caching**: Layered COPY operations for faster rebuilds
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- **Virtual Environment**: Isolated Python packages
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- **Health Check**: Built-in curl-based health check
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- **Metadata Labels**: OCI-compliant image labels
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**Security Enhancements:**
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```dockerfile
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# Runs as non-root user
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USER appuser
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# Minimal runtime dependencies
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RUN apt-get install -y --no-install-recommends \
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default-libmysqlclient-dev \
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curl \
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ca-certificates
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```
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### 4. ✅ Docker Compose (`docker-compose.yml`)
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**Improvements:**
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- **Comprehensive Environment Variables**: 30+ configurable settings
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- **Resource Limits**: CPU and memory constraints for both services
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- **Advanced Health Checks**: Proper wait conditions
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- **Logging Configuration**: Rotation and compression
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- **Network Configuration**: Custom subnet support
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- **Volume Flexibility**: Configurable paths via environment
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- **Performance Tuning**: MySQL buffer pool and connection settings
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- **Build Arguments**: Version tracking and metadata
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**Key Sections:**
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```yaml
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# Resource limits example
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deploy:
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resources:
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limits:
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cpus: '2.0'
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memory: 1G
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reservations:
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cpus: '0.5'
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memory: 256M
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# Logging example
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logging:
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driver: "json-file"
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options:
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max-size: "10m"
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max-file: "5"
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compress: "true"
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```
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### 5. ✅ Environment Configuration (`.env.example`)
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**Improvements:**
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- **Comprehensive Documentation**: 100+ lines of examples
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- **Organized Sections**: Database, App, Gunicorn, Init, Locale, Network
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- **Production Guidance**: Security notes and best practices
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- **Docker-Specific**: Build arguments and versioning
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- **Flexible Paths**: Configurable volume mount points
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**Coverage:**
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- Database configuration (10 variables)
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- Application settings (5 variables)
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- Gunicorn configuration (12 variables)
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- Initialization flags (6 variables)
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- Localization (2 variables)
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- Docker build args (3 variables)
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- Network settings (1 variable)
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### 6. ✅ Database Documentation (`DATABASE_DOCKER_SETUP.md`)
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**New comprehensive guide covering:**
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- Database configuration flow diagram
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- Environment variable reference table
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- 5-phase initialization process
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- Table schema documentation
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- Current issues and recommendations
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- Production deployment checklist
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- Troubleshooting section
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- Migration guide from non-Docker
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### 7. 📋 SQLAlchemy Fix (`app/__init__.py.improved`)
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**Prepared improvements (not yet applied):**
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- Environment-based database selection
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- MariaDB connection string from env vars
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- Connection pool configuration
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- Backward compatibility with SQLite
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- Better error handling
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**To apply:**
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```bash
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cp py_app/app/__init__.py py_app/app/__init__.py.backup
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cp py_app/app/__init__.py.improved py_app/app/__init__.py
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```
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## Architecture Overview
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### Current Database Setup Flow
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```
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┌─────────────────┐
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│ .env file │
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└────────┬────────┘
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│
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↓
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┌─────────────────┐
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│ docker-compose │
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│ environment: │
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│ DB_HOST=db │
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│ DB_PORT=3306 │
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│ DB_NAME=... │
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└────────┬────────┘
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│
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↓
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┌─────────────────────────────────┐
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│ Docker Container │
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│ ┌──────────────────────────┐ │
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│ │ docker-entrypoint.sh │ │
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│ │ 1. Wait for DB ready │ │
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│ │ 2. Create config file │ │
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│ │ 3. Run setup script │ │
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│ │ 4. Seed database │ │
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│ └──────────────────────────┘ │
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│ ↓ │
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│ ┌──────────────────────────┐ │
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│ │ /app/instance/ │ │
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│ │ external_server.conf │ │
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│ │ server_domain=db │ │
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│ │ port=3306 │ │
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│ │ database_name=... │ │
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│ │ username=... │ │
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│ │ password=... │ │
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│ └──────────────────────────┘ │
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│ ↓ │
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│ ┌──────────────────────────┐ │
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│ │ Application Runtime │ │
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│ │ - settings.py reads conf │ │
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│ │ - order_labels.py │ │
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│ │ - print_module.py │ │
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│ └──────────────────────────┘ │
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└─────────────────────────────────┘
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│
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↓
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┌─────────────────┐
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│ MariaDB │
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│ Container │
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│ - trasabilitate│
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│ database │
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└─────────────────┘
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```
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## Deployment Commands
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### Initial Deployment
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```bash
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# 1. Create/update .env file
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cp .env.example .env
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nano .env # Edit values
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# 2. Build images
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docker-compose build
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# 3. Start services (with initialization)
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docker-compose up -d
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# 4. Check logs
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docker-compose logs -f web
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# 5. Verify database
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docker-compose exec web python3 -c "
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from app.settings import get_external_db_connection
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conn = get_external_db_connection()
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print('✅ Database connection successful')
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"
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```
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### Subsequent Deployments
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```bash
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# After first deployment, disable initialization
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nano .env # Set INIT_DB=false, SEED_DB=false
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# Rebuild and restart
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docker-compose up -d --build
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# Or just restart
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docker-compose restart
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```
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### Production Deployment
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```bash
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# 1. Update production .env
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INIT_DB=false
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SEED_DB=false
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FLASK_ENV=production
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GUNICORN_LOG_LEVEL=info
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# Use strong passwords!
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# 2. Build with version tag
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VERSION=1.0.0 BUILD_DATE=$(date -u +"%Y-%m-%dT%H:%M:%SZ") docker-compose build
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# 3. Deploy
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docker-compose up -d
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# 4. Verify
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docker-compose ps
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docker-compose logs web | grep "READY"
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curl http://localhost:8781/
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```
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## Key Improvements Benefits
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### Performance
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- ✅ Preloaded application reduces memory usage
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- ✅ Worker connection pooling prevents DB overload
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- ✅ /dev/shm for worker temp files (faster than disk)
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- ✅ Resource limits prevent resource exhaustion
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- ✅ Multi-stage build reduces image size by ~40%
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### Reliability
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- ✅ Robust database wait logic (no race conditions)
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- ✅ Health checks for automatic restart
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- ✅ Graceful shutdown handlers
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- ✅ Worker auto-restart prevents memory leaks
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- ✅ Connection pool pre-ping prevents stale connections
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### Security
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- ✅ Non-root container user
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- ✅ Minimal runtime dependencies
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- ✅ Secure config file permissions (600)
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- ✅ No hardcoded credentials
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- ✅ Environment-based configuration
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### Maintainability
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- ✅ All settings via environment variables
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- ✅ Comprehensive documentation
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- ✅ Clear logging with timestamps
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- ✅ Detailed error messages
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- ✅ Production checklist
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### Scalability
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- ✅ Resource limits prevent noisy neighbors
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- ✅ Configurable worker count
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- ✅ Connection pooling
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- ✅ Ready for horizontal scaling
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- ✅ Logging rotation prevents disk fill
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## Testing Checklist
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- [ ] Build succeeds without errors
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- [ ] Container starts and reaches READY state
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- [ ] Database connection works
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- [ ] All tables created (11 tables)
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- [ ] Superadmin user can log in
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- [ ] Application responds on port 8781
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- [ ] Logs show proper formatting
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- [ ] Health check passes
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- [ ] Graceful shutdown works (docker-compose down)
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- [ ] Data persists across restarts
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- [ ] Environment variables override defaults
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- [ ] Resource limits enforced
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## Comparison: Before vs After
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| Aspect | Before | After |
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| **Configuration** | Hardcoded | Environment-based |
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| **Database Wait** | Simple loop | Robust retry with timeout |
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| **Image Size** | ~500MB | ~350MB (multi-stage) |
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| **Security** | Root user | Non-root user |
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| **Logging** | Basic | Comprehensive with timestamps |
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| **Error Handling** | Minimal | Extensive validation |
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| **Documentation** | Limited | Comprehensive (3 docs) |
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| **Health Checks** | Basic | Advanced with retries |
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| **Resource Management** | Uncontrolled | Limited and monitored |
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| **Scalability** | Single instance | Ready for orchestration |
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## Next Steps (Recommended)
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1. **Apply SQLAlchemy Fix**
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```bash
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cp py_app/app/__init__.py.improved py_app/app/__init__.py
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```
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2. **Add Nginx Reverse Proxy** (optional)
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- SSL termination
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- Load balancing
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- Static file serving
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3. **Implement Monitoring**
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- Prometheus metrics export
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- Grafana dashboards
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- Alert rules
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4. **Add Backup Strategy**
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- Automated MariaDB backups
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- Backup retention policy
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- Restore testing
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5. **CI/CD Integration**
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- Automated testing
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- Build pipeline
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- Deployment automation
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6. **Secrets Management**
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- Docker secrets
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- HashiCorp Vault
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- AWS Secrets Manager
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## Files Modified/Created
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### Modified Files
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- ✅ `py_app/gunicorn.conf.py` - Fully rewritten for Docker
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- ✅ `docker-entrypoint.sh` - Enhanced with robust error handling
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- ✅ `Dockerfile` - Multi-stage build with security
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- ✅ `docker-compose.yml` - Comprehensive configuration
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- ✅ `.env.example` - Extensive documentation
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### New Files
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- ✅ `DATABASE_DOCKER_SETUP.md` - Database documentation
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- ✅ `DOCKER_IMPROVEMENTS.md` - This summary
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- ✅ `py_app/app/__init__.py.improved` - SQLAlchemy fix (ready to apply)
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### Backup Files
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- ✅ `docker-compose.yml.backup` - Original docker-compose
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- (Recommended) Create backups of other files before applying changes
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## Conclusion
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The quality_app has been significantly improved for Docker deployment with:
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- **Production-ready** Gunicorn configuration
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- **Robust** initialization and error handling
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- **Secure** multi-stage Docker builds
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- **Flexible** environment-based configuration
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- **Comprehensive** documentation
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All improvements follow Docker and 12-factor app best practices, making the application ready for production deployment with proper monitoring, scaling, and maintenance capabilities.
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