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Dockerfile
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FROM ubuntu:focal as base
# Warning: This file is experimental.
# Install system requirements
RUN apt-get update && \
# Global requirements
DEBIAN_FRONTEND=noninteractive apt-get install --yes \
build-essential \
curl \
# If we don't need gcc, we should remove it.
g++ \
gcc \
git \
git-core \
language-pack-en \
libfreetype6-dev \
libmysqlclient-dev \
libssl-dev \
libxml2-dev \
libxmlsec1-dev \
libxslt1-dev \
swig \
# openedx requirements
gettext \
gfortran \
graphviz \
libffi-dev \
libfreetype6-dev \
libgeos-dev \
libgraphviz-dev \
libjpeg8-dev \
liblapack-dev \
libpng-dev \
libsqlite3-dev \
libxml2-dev \
libxmlsec1-dev \
libxslt1-dev \
ntp \
pkg-config \
python3-dev \
python3-venv \
&& rm -rf /var/lib/apt/lists/*
RUN locale-gen en_US.UTF-8
ENV LANG en_US.UTF-8
ENV LANGUAGE en_US:en
ENV LC_ALL en_US.UTF-8
WORKDIR /edx/app/edxapp/edx-platform
ENV PATH /edx/app/edxapp/nodeenv/bin:${PATH}
ENV PATH ./node_modules/.bin:${PATH}
ENV CONFIG_ROOT /edx/etc/
ENV PATH /edx/app/edxapp/edx-platform/bin:${PATH}
ENV SETTINGS production
RUN mkdir -p /edx/etc/
ENV VIRTUAL_ENV=/edx/app/edxapp/venvs/edxapp
RUN python3.8 -m venv $VIRTUAL_ENV
ENV PATH="$VIRTUAL_ENV/bin:$PATH"
# Install Python requirements
COPY setup.py setup.py
COPY common common
COPY openedx openedx
COPY lms lms
COPY cms cms
COPY requirements/pip.txt requirements/pip.txt
COPY requirements/edx/base.txt requirements/edx/base.txt
RUN pip install -r requirements/pip.txt
RUN pip install -r requirements/edx/base.txt
# Copy just JS requirements and install them.
COPY package.json package.json
COPY package-lock.json package-lock.json
RUN nodeenv /edx/app/edxapp/nodeenv --node=12.11.1 --prebuilt
RUN npm set progress=false && npm install
ENV LMS_CFG /edx/etc/lms.yml
ENV STUDIO_CFG /edx/etc/studio.yml
COPY lms/devstack.yml /edx/etc/lms.yml
COPY cms/devstack.yml /edx/etc/studio.yml
# Copy over remaining code.
# We do this as late as possible so that small changes to the repo don't bust
# the requirements cache.
COPY . .
FROM base as lms
ENV SERVICE_VARIANT lms
ENV DJANGO_SETTINGS_MODULE lms.envs.production
EXPOSE 8000
CMD gunicorn -c /edx/app/edxapp/edx-platform/lms/docker_lms_gunicorn.py --name lms --bind=0.0.0.0:8000 --max-requests=1000 --access-logfile - lms.wsgi:application
FROM lms as lms-newrelic
RUN pip install newrelic
CMD newrelic-admin run-program gunicorn -c /edx/app/edxapp/edx-platform/lms/docker_lms_gunicorn.py --name lms --bind=0.0.0.0:8000 --max-requests=1000 --access-logfile - lms.wsgi:application
FROM lms as lms-devstack
# TODO: This compiles static assets.
# However, it's a bit of a hack, it's slow, and it's inefficient because makes the final Docker cache layer very large.
# We ought to be able to this higher up in the Dockerfile, and do it the same for Prod and Devstack.
RUN mkdir -p test_root/log
ENV DJANGO_SETTINGS_MODULE ""
RUN NO_PREREQ_INSTALL=1 paver update_assets lms --settings devstack_decentralized
ENV DJANGO_SETTINGS_MODULE lms.envs.devstack_decentralized
FROM base as studio
ENV SERVICE_VARIANT cms
ENV DJANGO_SETTINGS_MODULE cms.envs.production
EXPOSE 8010
CMD gunicorn -c /edx/app/edxapp/edx-platform/cms/docker_cms_gunicorn.py --name cms --bind=0.0.0.0:8010 --max-requests=1000 --access-logfile - cms.wsgi:application
FROM studio as studio-newrelic
RUN pip install newrelic
CMD newrelic-admin run-program gunicorn -c /edx/app/edxapp/edx-platform/cms/docker_cms_gunicorn.py --name cms --bind=0.0.0.0:8010 --max-requests=1000 --access-logfile - cms.wsgi:application
FROM studio as studio-devstack
# TODO: This compiles static assets.
# However, it's a bit of a hack, it's slow, and it's inefficient because makes the final Docker cache layer very large.
# We ought to be able to this higher up in the Dockerfile, and do it the same for Prod and Devstack.
RUN mkdir -p test_root/log
ENV DJANGO_SETTINGS_MODULE ""
RUN NO_PREREQ_INSTALL=1 paver update_assets cms --settings devstack_decentralized
ENV DJANGO_SETTINGS_MODULE cms.envs.devstack_decentralized