76 lines
2.6 KiB
Docker
76 lines
2.6 KiB
Docker
# We need gcc, build-essential and git to install our requirements but we
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# don't need them when run the application so we can selectively copy artifacts
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# from this stage (compile-image) to second one (runtime-image), leaving
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# behind everything we don't need in the final build.
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FROM python:3.9-slim AS compile-image
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# We don't want apt-get to interact with us,
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# and we want the default answers to be used for all questions.
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# Is it also completely silent and unobtrusive.
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ARG DEBIAN_FRONTEND=noninteractive
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# Update packages and install needed packages to build our requirements.
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RUN apt-get update && \
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apt-get install -y --no-install-recommends build-essential gcc git
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# Create new virtual environment in /opt/venv and change to it.
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ENV VIRTUAL_ENV=/opt/venv
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RUN python3 -m venv $VIRTUAL_ENV
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ENV PATH="$VIRTUAL_ENV/bin:$PATH"
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# Copy and install requirements.
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COPY requirements.txt .
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RUN pip install --disable-pip-version-check --no-cache-dir --requirement requirements.txt
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# Change to our second stage. This is the one that will run the application.
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FROM python:3.9-slim AS runtime-image
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RUN apt-get update && \
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apt-get install -y --no-install-recommends ffmpeg
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# Copy Python dependencies from our build image.
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COPY --from=compile-image /opt/venv /opt/venv
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# Create user so we don't run as root.
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RUN useradd --create-home botuser
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# Create directories we need
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RUN mkdir -p /home/botuser/Uploads && mkdir -p /home/botuser/templates
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# Change ownership of directories
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RUN chown -R botuser:botuser /home/botuser && chmod -R 755 /home/botuser
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# Change user
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USER botuser
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# Change directory to where we will run the application.
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WORKDIR /home/botuser
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# Copy our Python application to our home directory.
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COPY main.py ./
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COPY Uploads/ ./Uploads
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COPY templates/ ./templates
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# Don't generate byte code (.pyc-files).
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# These are only needed if we run the python-files several times.
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# Docker doesn't keep the data between runs so this adds nothing.
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ENV PYTHONDONTWRITEBYTECODE 1
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# Force the stdout and stderr streams to be unbuffered.
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# Will allow log messages to be immediately dumped instead of being buffered.
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# This is useful when the application crashes before writing messages stuck in the buffer.
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# Has a minor performance loss. We don't have many log messages so probably makes zero difference.
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ENV PYTHONUNBUFFERED 1
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# Use our virtual environment that we created in the other stage.
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ENV PATH="/opt/venv/bin:$PATH"
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# Make the website accessible outside localhost
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ENV FLASK_RUN_HOST=0.0.0.0
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# Expose the web port
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EXPOSE 5000
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# Run bot.
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CMD [ "gunicorn", "--workers=2", "--threads=4", "--log-file=-", "--bind=0.0.0.0:5000", "main:app"]
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