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Workflow file for this run

# This workflow uses actions that are not certified by GitHub.
# They are provided by a third-party and are governed by
# separate terms of service, privacy policy, and support
# documentation.
# GitHub recommends pinning actions to a commit SHA.
# To get a newer version, you will need to update the SHA.
# You can also reference a tag or branch, but the action may change without warning.
name: Create Publish And Test Docker image
on:
release:
types: [published]
workflow_dispatch:
env:
REGISTRY: ghcr.io
IMAGE_NAME: ${{ github.repository }}
jobs:
build-and-push-image:
runs-on: ubuntu-latest
permissions:
contents: read
packages: write
steps:
- name: Checkout repository
uses: actions/checkout@v3
- name: Log in to the Container registry
uses: docker/login-action@f054a8b539a109f9f41c372932f1ae047eff08c9
with:
registry: ${{ env.REGISTRY }}
username: ${{ github.actor }}
password: ${{ secrets.GITHUB_TOKEN }}
- name: Extract metadata (tags, labels) for Docker
id: meta
uses: docker/metadata-action@98669ae865ea3cffbcbaa878cf57c20bbf1c6c38
with:
images: ${{ env.REGISTRY }}/${{ env.IMAGE_NAME }}
- name: Build and push Docker image
uses: docker/build-push-action@ad44023a93711e3deb337508980b4b5e9bcdc5dc
with:
context: .
push: true
tags: ${{ steps.meta.outputs.tags }}
labels: ${{ steps.meta.outputs.labels }}
container-test-job:
runs-on: ubuntu-latest
needs: build-and-push-image
container:
image: ghcr.io/davidpratten/jetisu:latest
env:
NODE_ENV: development
ports:
- 80
volumes:
- my_docker_volume:/volume_mount
options: --cpus 1
steps:
- name: Run .py tests
# The CD is required because when a container is run by Github the working directory is set by
# GITHUB_WORKSPACE environment variable and defaults to /home/runner/work/my-repo-name/my-repo-name.
# jovyan is the default non-root username chosen by Docker when building the image
# Whereas for reasons that are not immediately apparent, having the current directory on the
# python's sys path is a prerequisite when the test holding .py files are at lower levels in the
# folder hierarchy and running python -m pytest instead of just pytest accomplishes that :-)
run: cd /home/jovyan && python -m pytest
- name: Run .ipynb tests
run: cd /home/jovyan && python -m pytest --nbmake -n=auto