InvenTree/Dockerfile
Matthias Mair ea63a03fe4
Refactor docker CI for speed increases (#6562)
* push to ghcr (#168)

* Update docker.yaml

* Update docker.yaml

* Update docker.yaml

* use matrix to build for the plattforms (faster amd pub)

* try Buildjet

* switch to pyhton 3.9

* Update docker.yaml

* path python manually?

* bump python to 3.11

* Update Dockerfile

* step down vm

* cleanup workflow

* install docker on mac

* and docker compose too

* switch back to linux

* Docker tests (#175)

* push to ghcr (#168)

* Update docker.yaml

* Update docker.yaml

* Update docker.yaml

* use matrix to build for the plattforms (faster amd pub)

* try Buildjet

* switch to pyhton 3.9

* Update docker.yaml

* path python manually?

* bump python to 3.11

* Update Dockerfile

* step down vm

* cleanup workflow

* install docker on mac

* and docker compose too

* switch back to linux

* switch to uv

* fix uv install

* reintroduce checks

* cleanup diff
2024-02-27 09:50:44 +11:00

170 lines
5.6 KiB
Docker

# The InvenTree dockerfile provides two build targets:
#
# production:
# - Required files are copied into the image
# - Runs InvenTree web server under gunicorn
#
# dev:
# - Expects source directories to be loaded as a run-time volume
# - Runs InvenTree web server under django development server
# - Monitors source files for any changes, and live-reloads server
ARG base_image=python:3.11-alpine3.18
FROM ${base_image} as inventree_base
# Build arguments for this image
ARG commit_tag=""
ARG commit_hash=""
ARG commit_date=""
ENV PYTHONUNBUFFERED 1
ENV PIP_DISABLE_PIP_VERSION_CHECK 1
ENV INVOKE_RUN_SHELL="/bin/ash"
ENV INVENTREE_LOG_LEVEL="WARNING"
ENV INVENTREE_DOCKER="true"
# InvenTree paths
ENV INVENTREE_HOME="/home/inventree"
ENV INVENTREE_MNG_DIR="${INVENTREE_HOME}/InvenTree"
ENV INVENTREE_DATA_DIR="${INVENTREE_HOME}/data"
ENV INVENTREE_STATIC_ROOT="${INVENTREE_DATA_DIR}/static"
ENV INVENTREE_MEDIA_ROOT="${INVENTREE_DATA_DIR}/media"
ENV INVENTREE_BACKUP_DIR="${INVENTREE_DATA_DIR}/backup"
ENV INVENTREE_PLUGIN_DIR="${INVENTREE_DATA_DIR}/plugins"
# InvenTree configuration files
ENV INVENTREE_CONFIG_FILE="${INVENTREE_DATA_DIR}/config.yaml"
ENV INVENTREE_SECRET_KEY_FILE="${INVENTREE_DATA_DIR}/secret_key.txt"
ENV INVENTREE_PLUGIN_FILE="${INVENTREE_DATA_DIR}/plugins.txt"
# Worker configuration (can be altered by user)
ENV INVENTREE_GUNICORN_WORKERS="4"
ENV INVENTREE_BACKGROUND_WORKERS="4"
# Default web server address:port
ENV INVENTREE_WEB_ADDR=0.0.0.0
ENV INVENTREE_WEB_PORT=8000
ENV VIRTUAL_ENV=/usr/local
LABEL org.label-schema.schema-version="1.0" \
org.label-schema.build-date=${DATE} \
org.label-schema.vendor="inventree" \
org.label-schema.name="inventree/inventree" \
org.label-schema.url="https://hub.docker.com/r/inventree/inventree" \
org.label-schema.vcs-url="https://github.com/inventree/InvenTree.git" \
org.label-schema.vcs-ref=${commit_tag}
# Install required system level packages
RUN apk add --no-cache \
git gettext py-cryptography \
# Image format support
libjpeg libwebp zlib \
# Weasyprint requirements : https://doc.courtbouillon.org/weasyprint/stable/first_steps.html#alpine-3-12
py3-pip py3-pillow py3-cffi py3-brotli pango poppler-utils openldap && \
# fonts
apk --update --upgrade --no-cache add fontconfig ttf-freefont font-noto terminus-font && fc-cache -f
EXPOSE 8000
RUN mkdir -p ${INVENTREE_HOME}
WORKDIR ${INVENTREE_HOME}
COPY ./docker/requirements.txt base_requirements.txt
COPY ./requirements.txt ./
COPY ./docker/install_build_packages.sh .
RUN chmod +x install_build_packages.sh
# For ARMv7 architecture, add the piwheels repo (for cryptography library)
# Otherwise, we have to build from source, which is difficult
# Ref: https://github.com/inventree/InvenTree/pull/4598
RUN if [ `apk --print-arch` = "armv7" ]; then \
printf "[global]\nextra-index-url=https://www.piwheels.org/simple\n" > /etc/pip.conf ; \
fi
COPY tasks.py docker/gunicorn.conf.py docker/init.sh ./
RUN chmod +x init.sh
ENTRYPOINT ["/bin/ash", "./init.sh"]
FROM inventree_base as prebuild
ENV PATH=/root/.local/bin:$PATH
RUN ./install_build_packages.sh --no-cache --virtual .build-deps && \
pip install --user uv --no-cache-dir && uv pip install -r base_requirements.txt -r requirements.txt --no-cache && \
apk --purge del .build-deps
# Frontend builder image:
FROM prebuild as frontend
RUN apk add --no-cache --update nodejs npm && npm install -g yarn
RUN yarn config set network-timeout 600000 -g
COPY InvenTree ${INVENTREE_HOME}/InvenTree
COPY src ${INVENTREE_HOME}/src
COPY tasks.py ${INVENTREE_HOME}/tasks.py
RUN cd ${INVENTREE_HOME}/InvenTree && inv frontend-compile
# InvenTree production image:
# - Copies required files from local directory
# - Starts a gunicorn webserver
FROM inventree_base as production
ENV INVENTREE_DEBUG=False
# As .git directory is not available in production image, we pass the commit information via ENV
ENV INVENTREE_COMMIT_HASH="${commit_hash}"
ENV INVENTREE_COMMIT_DATE="${commit_date}"
# use dependencies and compiled wheels from the prebuild image
ENV PATH=/root/.local/bin:$PATH
COPY --from=prebuild /root/.local /root/.local
# Copy source code
COPY InvenTree ./InvenTree
COPY --from=frontend ${INVENTREE_HOME}/InvenTree/web/static/web ./InvenTree/web/static/web
# Launch the production server
# TODO: Work out why environment variables cannot be interpolated in this command
# TODO: e.g. -b ${INVENTREE_WEB_ADDR}:${INVENTREE_WEB_PORT} fails here
CMD gunicorn -c ./gunicorn.conf.py InvenTree.wsgi -b 0.0.0.0:8000 --chdir ./InvenTree
FROM inventree_base as dev
# Vite server (for local frontend development)
EXPOSE 5173
# Install packages required for building python packages
RUN ./install_build_packages.sh
RUN pip install uv --no-cache-dir && uv pip install -r base_requirements.txt --no-cache
# Install nodejs / npm / yarn
RUN apk add --no-cache --update nodejs npm && npm install -g yarn
RUN yarn config set network-timeout 600000 -g
# The development image requires the source code to be mounted to /home/inventree/
# So from here, we don't actually "do" anything, apart from some file management
ENV INVENTREE_DEBUG=True
# Location for python virtual environment
# If the INVENTREE_PY_ENV variable is set, the entrypoint script will use it!
ENV INVENTREE_PY_ENV="${INVENTREE_DATA_DIR}/env"
WORKDIR ${INVENTREE_HOME}
# Entrypoint ensures that we are running in the python virtual environment
ENTRYPOINT ["/bin/ash", "./docker/init.sh"]
# Launch the development server
CMD ["invoke", "server", "-a", "${INVENTREE_WEB_ADDR}:${INVENTREE_WEB_PORT}"]
# Image target for devcontainer
FROM dev as devcontainer
ARG workspace="/workspaces/InvenTree"
WORKDIR ${WORKSPACE}