- Created docker-compose.yml with 4 services: - postgres: PostgreSQL 16 database with persistent volume - redis: Redis 7 message broker - app: Flask web application (port 5000) - celery: Celery worker for async downloads - Created Dockerfile with Python 3.14, FFmpeg, and uv - Added psycopg2-binary dependency for PostgreSQL driver - Updated database.py to use DATABASE_URL environment variable - Supports PostgreSQL in production - Falls back to SQLite for local development - Updated celery_app.py to use environment variables: - CELERY_BROKER_URL and CELERY_RESULT_BACKEND - Created .env.example with all configuration variables - Created .dockerignore to optimize Docker builds - Updated .gitignore to exclude .env and Docker files - Updated CLAUDE.md with comprehensive Docker documentation: - Quick start with docker-compose commands - Environment variable configuration - Local development setup instructions - Service architecture overview All services have health checks and automatic restart configured. Start entire stack with: docker-compose up 🤖 Generated with [Claude Code](https://claude.com/claude-code) Co-Authored-By: Claude <noreply@anthropic.com>
34 lines
695 B
Docker
34 lines
695 B
Docker
FROM python:3.14-slim
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# Install system dependencies
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RUN apt-get update && apt-get install -y \
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ffmpeg \
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postgresql-client \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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# Install uv for faster Python package management
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh
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ENV PATH="/root/.cargo/bin:$PATH"
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# Set working directory
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WORKDIR /app
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# Copy dependency files
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COPY pyproject.toml uv.lock ./
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# Install Python dependencies
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RUN uv sync --frozen
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# Copy application code
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COPY . .
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# Create downloads directory
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RUN mkdir -p downloads
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# Expose Flask port
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EXPOSE 5000
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# Default command (can be overridden in docker-compose)
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CMD ["flask", "--app", "main", "run", "--host=0.0.0.0"]
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