Merge pull request 'refactor(docker): replace uv with pip and move Django commands to runtime' (#20) from feature/meetings into main
Reviewed-on: https://gitea.blackbusinesslabs.com/ATTUNE-HEART-THERAPY/alternative-backend-service/pulls/20
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FROM debian:bookworm-slim
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FROM python:3.12-slim
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# Set environment variables
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# Environment settings
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ENV PYTHONDONTWRITEBYTECODE 1
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED 1
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ENV PYTHONUNBUFFERED=1
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# Set work directory
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# Set work directory
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WORKDIR /app
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WORKDIR /app
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# System dependencies
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RUN apt-get update && apt-get install -y \
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RUN apt-get update && apt-get install -y \
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build-essential \
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build-essential \
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curl wget \
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curl wget \
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&& rm -rf /var/lib/apt/lists/*
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&& rm -rf /var/lib/apt/lists/*
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RUN curl -LsSf https://astral.sh/uv/install.sh | sh
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# Copy dependency file
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ENV PATH="/root/.local/bin:${PATH}"
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COPY requirements.txt .
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# Copy only the dependency definitions first to leverage Docker's layer caching
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# Install Python dependencies
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COPY pyproject.toml uv.lock .python-version ./
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RUN pip install --no-cache-dir -r requirements.txt
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# Install Python dependencies for production
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# Copy project files
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RUN uv sync --no-group dev --group prod
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# Copy the rest of the application code into the container
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COPY . .
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COPY . .
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# Collect the static files
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# Expose port
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RUN uv run --no-sync ./manage.py collectstatic --noinput
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# Migrate the database
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RUN uv run --no-sync ./manage.py migrate
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# Expose the port Gunicorn will run on
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EXPOSE 8000
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EXPOSE 8000
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# Run with gunicorn
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# Run migrations + collectstatic + gunicorn at runtime
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CMD ["uv", "run", "--no-sync", "gunicorn", "--bind", "0.0.0.0:8000", "--workers", "3", "--access-logfile", "-", "--error-logfile", "-", "--log-level", "info", "config.wsgi:application"]
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CMD \
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python manage.py migrate && \
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python manage.py collectstatic --noinput && \
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gunicorn config.wsgi:application --bind 0.0.0.0:8000 --workers 3
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