- Added environment variable loading with python-dotenv - Fixed Docker session permissions by using /tmp directory - Updated .dockerignore to include .env file properly - Enhanced docker-compose.yml with env_file directive - Fixed Gunicorn configuration for Docker compatibility - Updated README.md with comprehensive deployment docs - Cleaned up debug logging from API routes - Added DOMAIN_SETUP.md for reverse proxy guidance - All production issues resolved and tested working - Application now accessible at qr.moto-adv.com
52 lines
1.2 KiB
Docker
Executable File
52 lines
1.2 KiB
Docker
Executable File
# Use Python 3.11 slim image
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FROM python:3.11-slim
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# Set working directory
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WORKDIR /app
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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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libjpeg-dev \
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zlib1g-dev \
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libfreetype6-dev \
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liblcms2-dev \
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libopenjp2-7-dev \
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libtiff5-dev \
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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 application code
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COPY main.py .
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COPY gunicorn.conf.py .
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COPY .env .
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COPY app/ ./app/
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# Create necessary directories
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RUN mkdir -p app/static/qr_codes app/static/logos flask_session data
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# Set environment variables
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ENV FLASK_APP=main.py
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ENV FLASK_ENV=production
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ENV PYTHONUNBUFFERED=1
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# Create non-root user for security
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RUN useradd --create-home --shell /bin/bash app && \
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chown -R app:app /app
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USER app
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# Expose port
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EXPOSE 5000
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# Health check
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HEALTHCHECK --interval=30s --timeout=10s --start-period=5s --retries=3 \
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CMD python -c "import requests; requests.get('http://localhost:5000/health')" || exit 1
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# Run the application with Gunicorn for production
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CMD ["gunicorn", "-c", "gunicorn.conf.py", "main:app"]
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