Add Docker support: Dockerfile, docker-compose.yml, and production configuration
- Add Dockerfile with multi-stage build for Flask app containerization - Include .dockerignore to optimize build context - Add docker-compose.yml for easy deployment with health checks - Update run.py to handle production mode with allow_unsafe_werkzeug - Add DOCKER.md with comprehensive deployment instructions - Configure health check endpoint at /health - Run as non-root user for security - Support for environment variables and proper port mapping
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.dockerignore
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.dockerignore
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# Git
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.git
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.gitignore
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# Python
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__pycache__
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*.pyc
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*.pyo
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*.pyd
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.Python
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env
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pip-log.txt
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pip-delete-this-directory.txt
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.tox
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.log
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.git
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.mypy_cache
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.pytest_cache
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.hypothesis
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# Virtual environments
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.venv
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venv/
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ENV/
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env/
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.env
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# IDE
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.vscode/
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.idea/
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*.swp
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*.swo
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*~
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# OS
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.DS_Store
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.DS_Store?
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._*
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.Spotlight-V100
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.Trashes
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ehthumbs.db
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Thumbs.db
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# Docker
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Dockerfile
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.dockerignore
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# Documentation
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README.md
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*.md
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# Qoder IDE
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.qoder/
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DOCKER.md
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DOCKER.md
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# Docker Deployment for Markov Economics Simulation
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This directory contains Docker configuration files for containerizing the Markov Economics Simulation App.
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## Files
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- `Dockerfile` - Multi-stage Docker build configuration
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- `docker-compose.yml` - Docker Compose configuration for easy deployment
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- `.dockerignore` - Files to exclude from Docker build context
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## Quick Start
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### Using Docker Compose (Recommended)
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```bash
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# Build and start the application
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docker-compose up --build
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# Run in detached mode
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docker-compose up -d --build
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# Stop the application
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docker-compose down
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```
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### Using Docker directly
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```bash
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# Build the image
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docker build -t markov-economics .
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# Run the container
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docker run -p 5000:5000 markov-economics
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# Run with environment variables
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docker run -p 5000:5000 \
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-e FLASK_ENV=production \
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-e FLASK_APP=run.py \
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markov-economics
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```
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## Access
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Once running, the application will be available at:
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- Main application: http://localhost:5000
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- Health check: http://localhost:5000/health
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## Configuration
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### Environment Variables
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- `FLASK_ENV` - Flask environment (development/production)
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- `FLASK_APP` - Entry point file (run.py)
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- `PYTHONUNBUFFERED` - Ensure Python output is not buffered
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### Ports
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- `5000` - Main application port (Flask + SocketIO)
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## Health Check
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The container includes a health check that verifies the application is responding correctly at `/health`.
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## Security
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- Runs as non-root user (`appuser`)
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- Uses Python slim base image
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- Excludes development files via `.dockerignore`
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40
Dockerfile
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Dockerfile
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# Use Python 3.12 slim image as base
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FROM python:3.12-slim
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# Set working directory
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WORKDIR /app
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# Set environment variables
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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ENV FLASK_APP=run.py
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ENV FLASK_ENV=production
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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gcc \
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&& rm -rf /var/lib/apt/lists/*
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# Copy requirements first for better caching
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COPY requirements.txt .
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# Install Python dependencies
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RUN pip install --no-cache-dir -r requirements.txt
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# Copy the application code
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COPY . .
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# Create a non-root user
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RUN adduser --disabled-password --gecos '' appuser && \
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chown -R appuser:appuser /app
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USER appuser
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# Expose the port the app runs on
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EXPOSE 5000
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# Health check
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HEALTHCHECK --interval=30s --timeout=3s --start-period=5s --retries=3 \
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CMD python -c "import requests; requests.get('http://localhost:5000/health', timeout=2)" || exit 1
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# Run the application
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CMD ["python", "run.py"]
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31
docker-compose.yml
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docker-compose.yml
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version: '3.8'
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services:
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markov-economics:
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build: .
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ports:
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- "5000:5000"
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environment:
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- FLASK_ENV=production
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- FLASK_APP=run.py
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- PYTHONUNBUFFERED=1
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volumes:
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# Optional: Mount for persistent data if needed
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- ./data:/app/data
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restart: unless-stopped
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healthcheck:
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test: ["CMD", "python", "-c", "import requests; requests.get('http://localhost:5000/health', timeout=2)"]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 40s
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networks:
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- markov-network
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networks:
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markov-network:
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driver: bridge
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volumes:
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markov-data:
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driver: local
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run.py
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run.py
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app = create_app(config_name)
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if __name__ == '__main__':
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socketio.run(app, debug=True, host='0.0.0.0', port=5000)
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debug_mode = os.getenv('FLASK_ENV', 'development') == 'development'
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# For production deployment, allow unsafe werkzeug or use a proper WSGI server
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if os.getenv('FLASK_ENV') == 'production':
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socketio.run(app, debug=False, host='0.0.0.0', port=5000, allow_unsafe_werkzeug=True)
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else:
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socketio.run(app, debug=debug_mode, host='0.0.0.0', port=5000)
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