@@ -5,5 +5,4 @@ We welcome contributions of [recipes](../using/recipes.html), short examples of
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@@ -5,5 +5,4 @@ We welcome contributions of [recipes](../using/recipes.html), short examples of
1. Open the `docs/using/recipes.md` source file.
1. Open the `docs/using/recipes.md` source file.
2. Add a second-level Markdown heading naming your recipe at the bottom of the file (e.g., `## Add the RISE extension``)
2. Add a second-level Markdown heading naming your recipe at the bottom of the file (e.g., `## Add the RISE extension``)
3. Write the body of your recipe under the heading, including whatever command line, Dockerfile, links, etc. you need.
3. Write the body of your recipe under the heading, including whatever command line, Dockerfile, links, etc. you need.
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.
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.
5. Discuss changes with the maintainers and address any formatting or content issues.
We love to see the community create and share new Jupyter Docker images. We've created a [cookiecutter project](https://github.com/jupyter/cookiecutter-docker-stacks) and the documentation below as one way to get started defining, building, and sharing your Jupyter environments in Docker. If you choose to follow these steps, you will:
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. Setup a project on GitHub containing a Dockerfile based on either the `jupyter/base-notebook` or `jupyter/minimal-notebook` image.
1. Setup a project on GitHub containing a Dockerfile based on either the `jupyter/base-notebook` or `jupyter/minimal-notebook` image.
2. Configure Travis CI to build and test your image when users submit pull requests to your repository.
2. Configure Travis CI to build and test your image when users submit pull requests to your repository.
3. Configure Docker Cloud to build and host your images for others to use.
3. Configure Docker Cloud to build and host your images for others to use.
4. Update the [list of community stacks](../using/selecting.html#community-stacks) in this documentation to include your image.
4. Update the [list of community stacks](../using/selecting.html#community-stacks) in this documentation to include your image.
This approach mirrors how we build and share the core stack images. Again, it just one of many approaches you might choose to take to share your creations.
This approach mirrors how we build and share the core stack images. Feel free to follow it or pave your own path using alternative services and build tools.
## Creating a Project
## Creating a Project
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@@ -65,6 +65,47 @@ git push -u origin master
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@@ -65,6 +65,47 @@ git push -u origin master
## Configuring Travis
## Configuring Travis
Next, link your GitHub project to Travis CI to build your Docker image whenever you or someone else submits a pull request.
1. Visit [https://docs.travis-ci.com/user/getting-started/#To-get-started-with-Travis-CI](https://docs.travis-ci.com/user/getting-started/#To-get-started-with-Travis-CI) and follow the instructions to add the Travis CI application to your GitHub account.
Now, configure Docker Cloud to build your stack image and push it to Docker Hub repository whenever you merge a GitHub pull request to the master branch of your project.
1. Visit [https://cloud.docker.com/](https://cloud.docker.com/) and login.
2. Select the account or organization matching the one you entered when prompted with `stack_org` by the cookiecutter.
3. Scroll to the bottom of the page and click **Create repository**.
4. Enter the name of the image matching the one you entered when prompted with `stack_name` by the cookiecutter.
5. Enter a description for your image.
6. Click **GitHub** under the **Build Settings** and follow the prompts to connect your account if it is not already connected.
7. Select the GitHub organization and repository containing your image definition from the dropdowns.
8. Click the **Create and Build** button.
## Defining Your Image
Make edits 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/master/datascience-notebook/Dockerfile)) to get a feel for what's possible and 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 properly on Travis before merging to master. Refer to Docker Cloud for builds of your master branch that you can `docker pull`.
## Sharing Your Image
## Sharing Your Image
Finally, if you'd like to add a link to your project to this documentation site, please do the following:
2. Open the `docs/using/selecting.md` source file and locate the **Community Stacks** section.
3. Add a bullet with a link to your project 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.
