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autoantwort committed Jun 3, 2024
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88 changes: 88 additions & 0 deletions .github/workflows/build-publish-images.yml
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# From https://docs.github.com/en/actions/publishing-packages/publishing-docker-images#publishing-images-to-github-packages
name: Create and publish a Docker image

# Configures this workflow to run every time a change is pushed to a branch
on:
push:

# Defines two custom environment variables for the workflow. These are used for the Container registry domain, and a name for the Docker image that this workflow builds.
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}

# There is a single job in this workflow. It's configured to run on the latest available version of Ubuntu.
jobs:
build-and-push-image:
runs-on: ubuntu-latest
# Sets the permissions granted to the `GITHUB_TOKEN` for the actions in this job.
permissions:
contents: read
packages: write
attestations: write
id-token: write

steps:
- name: Checkout repository
uses: actions/checkout@v4
# Uses the `docker/login-action` action to log in to the Container registry registry using the account and password that will publish the packages. Once published, the packages are scoped to the account defined here.
- name: Log in to the Container registry
uses: docker/login-action@65b78e6e13532edd9afa3aa52ac7964289d1a9c1
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta-django
uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}/django-app
# This step uses the `docker/build-push-action` action to build the image, based on your repository's `Dockerfile`. If the build succeeds, it pushes the image to GitHub Packages.
# It uses the `context` parameter to define the build's context as the set of files located in the specified path. For more information, see "[Usage](https://github.com/docker/build-push-action#usage)" in the README of the `docker/build-push-action` repository.
# It uses the `tags` and `labels` parameters to tag and label the image with the output from the "meta" step.
- name: Build and push Django Docker image
id: push-django
uses: docker/build-push-action@f2a1d5e99d037542a71f64918e516c093c6f3fc4
with:
context: .
push: true
tags: ${{ steps.meta-django.outputs.tags }}
labels: ${{ steps.meta-django.outputs.labels }}

# This step generates an artifact attestation for the image, which is an unforgeable statement about where and how it was built. It increases supply chain security for people who consume the image. For more information, see "[AUTOTITLE](/actions/security-guides/using-artifact-attestations-to-establish-provenance-for-builds)."
- name: Generate django artifact attestation
uses: actions/attest-build-provenance@v1
with:
subject-name: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME}}/django-app
subject-digest: ${{ steps.push-django.outputs.digest }}
push-to-registry: true

# Build Nginx image

- name: Extract metadata (tags, labels) for Docker
id: meta-nginx
uses: docker/metadata-action@9ec57ed1fcdbf14dcef7dfbe97b2010124a938b7
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}/nginx

- name: Build and push Nginx Docker image
id: push-nginx
uses: docker/build-push-action@f2a1d5e99d037542a71f64918e516c093c6f3fc4
with:
context: nginx
push: true
tags: ${{ steps.meta-nginx.outputs.tags }}
labels: ${{ steps.meta-nginx.outputs.labels }}

- name: Generate nginx artifact attestation
uses: actions/attest-build-provenance@v1
with:
subject-name: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME}}/nginx
subject-digest: ${{ steps.push-nginx.outputs.digest }}
push-to-registry: true

- name: Trigger portainer
shell: bash
env:
PORTAINER_URL: ${{ secrets.PORTAINER_URL }}
run: |
curl -X POST "$PORTAINER_URL"
173 changes: 173 additions & 0 deletions .gitignore
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# ignore private config
config.py

# ignore media files
uploads

# ignore env files
.env.prod
.env.prod.db

.DS_Store

# Byte-compiled / optimized / DLL files
__pycache__/
*.py[cod]
*$py.class

# C extensions
*.so

# Distribution / packaging
.Python
build/
develop-eggs/
dist/
downloads/
eggs/
.eggs/
lib/
lib64/
parts/
sdist/
var/
wheels/
share/python-wheels/
*.egg-info/
.installed.cfg
*.egg
MANIFEST

# PyInstaller
# Usually these files are written by a python script from a template
# before PyInstaller builds the exe, so as to inject date/other infos into it.
*.manifest
*.spec

# Installer logs
pip-log.txt
pip-delete-this-directory.txt

# Unit test / coverage reports
htmlcov/
.tox/
.nox/
.coverage
.coverage.*
.cache
nosetests.xml
coverage.xml
*.cover
*.py,cover
.hypothesis/
.pytest_cache/
cover/

# Translations
*.mo
*.pot

# Django stuff:
*.log
local_settings.py
db.sqlite3
db.sqlite3-journal

# Flask stuff:
instance/
.webassets-cache

# Scrapy stuff:
.scrapy

# Sphinx documentation
docs/_build/

# PyBuilder
.pybuilder/
target/

# Jupyter Notebook
.ipynb_checkpoints

# IPython
profile_default/
ipython_config.py

# pyenv
# For a library or package, you might want to ignore these files since the code is
# intended to run in multiple environments; otherwise, check them in:
# .python-version

# pipenv
# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
# However, in case of collaboration, if having platform-specific dependencies or dependencies
# having no cross-platform support, pipenv may install dependencies that don't work, or not
# install all needed dependencies.
#Pipfile.lock

# poetry
# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
# This is especially recommended for binary packages to ensure reproducibility, and is more
# commonly ignored for libraries.
# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
#poetry.lock

# pdm
# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
#pdm.lock
# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
# in version control.
# https://pdm.fming.dev/#use-with-ide
.pdm.toml

# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
__pypackages__/

# Celery stuff
celerybeat-schedule
celerybeat.pid

# SageMath parsed files
*.sage.py

# Environments
.env
.venv
env/
venv/
ENV/
env.bak/
venv.bak/

# Spyder project settings
.spyderproject
.spyproject

# Rope project settings
.ropeproject

# mkdocs documentation
/site

# mypy
.mypy_cache/
.dmypy.json
dmypy.json

# Pyre type checker
.pyre/

# pytype static type analyzer
.pytype/

# Cython debug symbols
cython_debug/

# PyCharm
# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
# and can be added to the global gitignore or merged into this file. For a more nuclear
# option (not recommended) you can uncomment the following to ignore the entire idea folder.
.idea/
25 changes: 25 additions & 0 deletions Dockerfile
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FROM python:3.12-bullseye
LABEL authors="Leander Schulten"

ADD requirements.txt /app/requirements.txt

RUN apt-get update && apt-get install -y --no-install-recommends netcat

RUN set -ex \
&& python -m venv /env \
&& /env/bin/pip install --upgrade pip \
&& /env/bin/pip install --no-cache-dir -r /app/requirements.txt gunicorn setuptools psycopg2-binary==2.9.6


ADD . /app
WORKDIR /app

ENV VIRTUAL_ENV /env
ENV PATH /env/bin:$PATH

RUN python manage.py collectstatic --noinput

ENTRYPOINT ["/app/docker-entrypoint.sh"]

EXPOSE 8000
CMD ["gunicorn", "--bind", ":8000", "--workers", "3", "studibars.wsgi:application"]
3 changes: 3 additions & 0 deletions README.md
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# studi-bars

Dockerfile/compose von https://github.com/testdrivenio/django-on-docker/
45 changes: 45 additions & 0 deletions docker-compose.yml
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services:
web:
image: ghcr.io/studi-bars/studi-bars/django-app:main
build:
context: .
volumes:
- static_volume:/app/staticfiles
- media_volume:/app/uploads
expose:
- 8000
environment:
DJANGO_SECRET_KEY: ${DJANGO_SECRET_KEY}
DJANGO_DEBUG: ${DJANGO_DEBUG}
SQL_ENGINE: django.db.backends.postgresql
SQL_DATABASE: studi-bars
SQL_USER: django
SQL_PASSWORD: studi-bars
SQL_HOST: db
SQL_PORT: 5432
DATABASE: postgres
depends_on:
- db
db:
image: postgres:15
environment:
POSTGRES_USER: django
POSTGRES_PASSWORD: studi-bars
POSTGRES_DB: studi-bars
volumes:
- postgres_data:/var/lib/postgresql/data/
nginx:
image: ghcr.io/studi-bars/studi-bars/nginx:main
build: ./nginx
volumes:
- static_volume:/app/staticfiles
- media_volume:/app/uploads
ports:
- 1337:80
depends_on:
- web

volumes:
postgres_data:
static_volume:
media_volume:
18 changes: 18 additions & 0 deletions docker-entrypoint.sh
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#!/bin/sh
set -e

if [ "$DATABASE" = "postgres" ]
then
echo "Waiting for postgres..."

while ! nc -z $SQL_HOST $SQL_PORT; do
sleep 0.1
done

echo "PostgreSQL started"
fi

# Migrate DB before starting the server
python manage.py migrate --noinput

exec "$@"
Empty file added main/__init__.py
Empty file.
13 changes: 13 additions & 0 deletions main/admin.py
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from django.contrib import admin

from main.models import Bar, Event


@admin.register(Bar)
class BarAdmin(admin.ModelAdmin):
pass


@admin.register(Event)
class EventAdmin(admin.ModelAdmin):
pass
6 changes: 6 additions & 0 deletions main/apps.py
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from django.apps import AppConfig


class MainConfig(AppConfig):
default_auto_field = "django.db.models.BigAutoField"
name = "main"
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