github stars project celery-rabbit

new-github-repos/docker/django/Dockerfile

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+FROM python:3.8.9-slim-buster
+
+ENV BUILD_ONLY_PACKAGES='wget' \
+  # python:
+  PYTHONFAULTHANDLER=1 \
+  PYTHONUNBUFFERED=1 \
+  PYTHONHASHSEED=random \
+  PYTHONDONTWRITEBYTECODE=1 \
+  # pip:
+  PIP_NO_CACHE_DIR=off \
+  PIP_DISABLE_PIP_VERSION_CHECK=on \
+  PIP_DEFAULT_TIMEOUT=100 \
+  # poetry:
+  POETRY_VERSION=1.1.4 \
+  POETRY_NO_INTERACTION=1 \
+  POETRY_VIRTUALENVS_CREATE=false \
+  POETRY_CACHE_DIR='/var/cache/pypoetry' \
+  PATH="$PATH:/root/.poetry/bin"
+
+# System deps:
+RUN apt-get update \
+  && apt-get install --no-install-recommends -y \
+    bash \
+    build-essential \
+    curl \
+    gettext \
+    git \
+    libpq-dev \
+    nano \
+    # Defining build-time-only dependencies:
+    $BUILD_ONLY_PACKAGES \
+  && curl -sSL 'https://raw.githubusercontent.com/python-poetry/poetry/master/get-poetry.py' | python \
+  && poetry --version \
+  # Removing build-time-only dependencies:
+  && apt-get remove -y $BUILD_ONLY_PACKAGES \
+  # Cleaning cache:
+  && apt-get purge -y --auto-remove -o APT::AutoRemove::RecommendsImportant=false \
+  && apt-get clean -y && rm -rf /var/lib/apt/lists/* \
+  && rm -rf $POETRY_CACHE_DIR
+
+WORKDIR /code
+
+# Copy only requirements, to cache them in docker layer
+COPY ./poetry.lock ./pyproject.toml /code/
+RUN poetry install
+COPY . /code

new-github-repos/docker/django/entrypoint.sh

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+#!/usr/bin/env sh
+
+set -o errexit
+set -o nounset
+
+readonly cmd="$*"
+
+postgres_ready () {
+  # Check that postgres is up and running on port `5432`:
+  dockerize -wait 'tcp://db:5432' -timeout 5s
+}
+
+# We need this line to make sure that this container is started
+# after the one with postgres:
+until postgres_ready; do
+  >&2 echo 'Postgres is unavailable - sleeping'
+done
+
+# It is also possible to wait for other services as well: redis, elastic, mongo
+>&2 echo 'Postgres is up - continuing...'
+
+# Evaluating passed command (do not touch):
+# shellcheck disable=SC2086
+exec $cmd

new-github-repos/docker/django/gunicorn.sh

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+#!/usr/bin/env sh
+
+set -o errexit
+set -o nounset
+
+# We are using `gunicorn` for production, see:
+# http://docs.gunicorn.org/en/stable/configure.html
+
+# Check that $DJANGO_ENV is set to "production",
+# fail otherwise, since it may break things:
+
+
+echo "DJANGO_ENV is $DJANGO_ENV"
+if [ "$DJANGO_ENV" != 'production' ]; then
+  echo 'Error: DJANGO_ENV is not set to "production".'
+  echo 'Application will not start.'
+  exit 1
+fi
+
+export DJANGO_ENV
+
+
+# Run python specific scripts:
+# Running migrations in startup script might not be the best option, see:
+# docs/pages/template/production-checklist.rst
+python /code/manage.py migrate --noinput
+python /code/manage.py collectstatic --noinput
+python /code/manage.py compilemessages
+
+# Start gunicorn:
+# Docs: http://docs.gunicorn.org/en/stable/settings.html
+# Concerning `workers` setting see:
+# https://github.com/wemake-services/wemake-django-template/issues/1022
+/usr/local/bin/gunicorn server.wsgi \
+  --workers=4 `# Sync worker settings` \
+  --max-requests=2000 \
+  --max-requests-jitter=400 \
+  --bind='0.0.0.0:8000' `# Run Django on 8000 port` \
+  --chdir='/code'       `# Locations` \
+  --log-file=- \
+  --worker-tmp-dir='/dev/shm'