45 lines
1.2 KiB
Docker
45 lines
1.2 KiB
Docker
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# Use the official lightweight Python image.
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# https://hub.docker.com/_/python
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FROM python:3.11-slim
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# Allow statements and log messages to immediately appear in the logs
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ENV PYTHONUNBUFFERED True
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ENV GOOGLE_APPLICATION_CREDENTIALS=/app/firebase-configs/encoach-staging.json
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# Copy local code to the container image.
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ENV APP_HOME /app
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WORKDIR $APP_HOME
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COPY . ./
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RUN apt update && apt install -y \
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ffmpeg \
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poppler-utils \
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texlive-latex-base \
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texlive-fonts-recommended \
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texlive-latex-extra \
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texlive-xetex \
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pandoc \
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librsvg2-bin \
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curl \
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&& rm -rf /var/lib/apt/lists/*
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RUN curl -sL https://deb.nodesource.com/setup_20.x | bash - \
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&& apt-get install -y nodejs
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RUN npm install -g firebase-tools
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# Install production dependencies.
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RUN pip install --no-cache-dir -r requirements.txt
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EXPOSE 5000
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# Run the web service on container startup. Here we use the gunicorn
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# webserver, with one worker process and 8 threads.
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# For environments with multiple CPU cores, increase the number of workers
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# to be equal to the cores available.
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# Timeout is set to 0 to disable the timeouts of the workers to allow Cloud Run to handle instance scaling.
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CMD exec gunicorn --bind 0.0.0.0:5000 --workers 1 --threads 8 --timeout 0 app:app
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