mirror of
https://github.com/jupyter/docker-stacks.git
synced 2025-10-08 02:24:04 +00:00
155 lines
7.2 KiB
Markdown
155 lines
7.2 KiB
Markdown
# Community Stacks
|
|
|
|
We love to see the community create and share new Jupyter Docker images.
|
|
We've put together a [cookiecutter project](https://github.com/jupyter/cookiecutter-docker-stacks)
|
|
and the documentation below to help you get started defining, building, and sharing your Jupyter environments in Docker.
|
|
|
|
Following these steps will:
|
|
|
|
1. Set up a project on GitHub containing a Dockerfile based on any image we provide.
|
|
2. Configure GitHub Actions to build and test your image when users submit pull requests to your repository.
|
|
3. Configure Quay.io to host your images for others to use.
|
|
4. Update the [list of community stacks](../using/selecting.md#community-stacks) in this documentation to include your image.
|
|
|
|
This approach mirrors how we build and share the core stack images.
|
|
Feel free to follow it or pave your path using alternative services and build tools.
|
|
|
|
## Creating a Project
|
|
|
|
First, install [cookiecutter](https://github.com/cookiecutter/cookiecutter) using _pip_ or _mamba_:
|
|
|
|
```bash
|
|
pip install cookiecutter # or mamba install cookiecutter
|
|
```
|
|
|
|
Run the cookiecutter command pointing to the [jupyter/cookiecutter-docker-stacks](https://github.com/jupyter/cookiecutter-docker-stacks) project on GitHub.
|
|
|
|
```bash
|
|
cookiecutter https://github.com/jupyter/cookiecutter-docker-stacks.git
|
|
```
|
|
|
|
Enter a name for your new stack image.
|
|
This will serve as both the git repository name and the part of the Docker image name after the slash.
|
|
|
|
```text
|
|
stack_name [my-jupyter-stack]:
|
|
```
|
|
|
|
Enter the user or organization name under which this stack will reside on Quay.io.
|
|
You must have access to manage this Quay.io organization to push images here.
|
|
|
|
```text
|
|
stack_org [my-project]:
|
|
```
|
|
|
|
Select an image from the `jupyter/docker-stacks` project that will serve as the base for your new image.
|
|
|
|
```text
|
|
stack_base_image [quay.io/jupyter/base-notebook]:
|
|
```
|
|
|
|
Enter a longer description of the stack for your README.
|
|
|
|
```text
|
|
stack_description [my-jupyter-stack is a community-maintained Jupyter Docker Stack image]:
|
|
```
|
|
|
|
Create a GitHub repository to store your project.
|
|
Initialize your project as a Git repository and push it to GitHub.
|
|
|
|
```bash
|
|
cd <stack_name you chose>
|
|
|
|
git init
|
|
git add .
|
|
git commit -m 'Seed repo'
|
|
git remote add origin <url from github>
|
|
git push -u origin main
|
|
```
|
|
|
|
## Exploring GitHub Actions
|
|
|
|
1. By default, the newly `.github/workflows/docker.yaml` will trigger the CI pipeline whenever you push to your `main` branch
|
|
and when any Pull Requests are made to your repository.
|
|
For more details on this configuration, visit the [GitHub actions documentation on triggers](https://docs.github.com/en/actions/writing-workflows/choosing-when-your-workflow-runs/events-that-trigger-workflows).
|
|
|
|
2. Go to your repository and click on the **Actions** tab.
|
|
From there, you can click on the workflows on the left-hand side of the screen.
|
|
|
|
|
|
|
|
```{note}
|
|
The first run is expected to fail because we haven't yet added Docker credentials to push the image
|
|
```
|
|
|
|
3. In the next screen, you will see information about the workflow run and duration.
|
|
If you click the button with the workflow name again, you will see the logs for the workflow steps.
|
|
|
|
|
|
|
|
## Configuring Docker Hub
|
|
|
|
```{note}
|
|
Jupyter Docker Stacks are hosted on Quay.io, but in this example, we show you how to host your image on Docker Hub.
|
|
```
|
|
|
|
Now, configure Docker Hub to build your stack image and push it to the Docker Hub repository whenever
|
|
you merge a GitHub pull request to the main branch of your project.
|
|
|
|
1. Visit [https://hub.docker.com/](https://hub.docker.com/) and log in.
|
|
2. Create a new repository - make sure to use the correct namespace (account or organization).
|
|
Enter the name of the image matching the one you entered when prompted with `stack_name` by the cookiecutter.
|
|
|
|
|
|
|
|
3. Enter a description for your image.
|
|
4. Click on your avatar in the top-right corner and select Account Settings.
|
|
|
|
|
|
|
|
5. Click on **Security** and then click on the **New Access Token** button.
|
|
|
|
|
|
|
|
6. Enter a meaningful name for your token and click on **Generate**
|
|
|
|
|
|
|
|
7. Copy the personal access token displayed on the next screen.
|
|
|
|
```{note}
|
|
**You will not be able to see it again after you close the pop-up window**.
|
|
```
|
|
|
|
8. Head back to your GitHub repository and click on the **Settings tab**.
|
|
9. Click on the **Secrets and variables->Actions** section and then on the **New repository secret** button in the top right corner.
|
|
|
|
|
|
|
|
10. Create a **DOCKERHUB_TOKEN** secret and paste the Personal Access Token from Docker Hub in the **value** field.
|
|
|
|
|
|
|
|
11. Now you're ready to go and you can restart a failed workflow.
|
|
|
|
## Defining Your Image
|
|
|
|
Make edits to the Dockerfile in your project to add third-party libraries and configure Jupyter applications.
|
|
Refer to the Dockerfiles for the core stacks (e.g., [jupyter/datascience-notebook](https://github.com/jupyter/docker-stacks/blob/main/images/datascience-notebook/Dockerfile))
|
|
to get a feel for what's possible and the best practices.
|
|
|
|
[Submit pull requests](https://github.com/PointCloudLibrary/pcl/wiki/A-step-by-step-guide-on-preparing-and-submitting-a-pull-request)
|
|
to your project repository on GitHub.
|
|
Ensure your image builds correctly on GitHub Actions before merging to the main branch.
|
|
After merging to the main branch, your image will be built and pushed to the Docker Hub automatically.
|
|
|
|
## Sharing Your Image
|
|
|
|
Finally, if you'd like to add a link to your project to this documentation site, please do the following:
|
|
|
|
1. Fork the [jupyter/docker-stacks](https://github.com/jupyter/docker-stacks) GitHub repository.
|
|
2. Open the `docs/using/selecting.md` source file and locate the **Community Stacks** section in your fork.
|
|
3. Add a table entry with a link to your project, a binder link, and a short description of what your Docker image contains.
|
|
4. [Submit a pull request](https://github.com/PointCloudLibrary/pcl/wiki/A-step-by-step-guide-on-preparing-and-submitting-a-pull-request)(PR) with your changes.
|
|
Maintainers will respond and work with you to address any formatting or content issues.
|