Rewrite community stacks doc and update all the screenshots
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@@ -67,19 +67,22 @@ git remote add origin <url from github>
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git push -u origin main
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```
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## Configuring GitHub actions
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## Exploring GitHub Actions
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1. By default, the `.github/workflows/docker.yaml` will trigger the CI pipeline whenever you push to your `main` branch
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1. By default, the newly `.github/workflows/docker.yaml` will trigger the CI pipeline whenever you push to your `main` branch
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and when any Pull Requests are made to your repository.
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For more details on this configuration, visit the [GitHub actions documentation on triggers](https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows).
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2. Commit your changes and push them to GitHub.
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3. Head back to your repository and click on the **Actions** tab.
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2. Go to your repository and click on the **Actions** tab.
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From there, you can click on the workflows on the left-hand side of the screen.
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4. In the next screen, you will see information about the workflow run and duration.
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```{note}
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First run is expected to fail, because we haven't yet added Docker credentials to push the image
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```
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3. In the next screen, you will see information about the workflow run and duration.
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If you click the button with the workflow name again, you will see the logs for the workflow steps.
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@@ -90,58 +93,44 @@ Now, configure Docker Hub to build your stack image and push it to the Docker Hu
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you merge a GitHub pull request to the main branch of your project.
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1. Visit [https://hub.docker.com/](https://hub.docker.com/) and log in.
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2. Select the account or organization matching the one you entered when prompted with `stack_org` by the cookiecutter.
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2. Create a new repository - make sure to use the correct namespace (account or organization).
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Enter the name of the image matching the one you entered when prompted with `stack_name` by the cookiecutter.
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3. Scroll to the bottom of the page and click **Create repository**.
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4. Enter the name of the image matching the one you entered when prompted with `stack_name` by the cookiecutter.
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3. Enter a description for your image.
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4. Click on your avatar in the top-right corner and select Account settings.
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5. Enter a description for your image.
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6. Click **GitHub** under the **Build Settings** and follow the prompts to connect your account if it is not already connected.
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7. Select the GitHub organization and repository containing your image definition from the dropdowns.
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5. Click on **Security** and then click on the **New Access Token** button.
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8. Click the **Create and Build** button.
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9. Click on your avatar in the top-right corner and select Account settings.
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6. Enter a meaningful name for your token and click on **Generate**
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10. Click on **Security** and then click on the **New Access Token** button.
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7. Copy the personal access token displayed on the next screen.
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```{note}
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**You will not be able to see it again after you close the pop-up window**.
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```
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11. Enter a meaningful name for your token and click on **Create**
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8. Head back to your GitHub repository and click on the **Settings tab**.
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9. Click on the **Secrets and variables->Actions** section and then on the **New repository secret** button in the top right corner.
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12. Copy the personal access token displayed on the next screen.
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```{note}
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you will not be able to see it again after you close the pop-up window**.
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```
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13. Head back to your GitHub repository and click on the **Settings tab**.
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14. Click on the **Secrets** section and then on the **New repository secret** button in the top right corner (see image above).
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15. Create a **DOCKERHUB_TOKEN** secret and paste the Personal Access Token from DockerHub in the **value** field.
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10. Create a **DOCKERHUB_TOKEN** secret and paste the Personal Access Token from Docker Hub in the **value** field.
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16. Repeat the above step but creating a **DOCKERHUB_USERNAME** and replacing the _value_ field with your DockerHub username.
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Once you have completed these steps, your repository secrets section should look something like this:
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11. Now you're ready to go and you can restart a failed workflow.
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## Defining Your Image
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Make edits to the Dockerfile in your project to add third-party libraries and configure Jupyter
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applications.
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Make edits to the Dockerfile in your project to add third-party libraries and configure Jupyter applications.
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Refer to the Dockerfiles for the core stacks (e.g., [jupyter/datascience-notebook](https://github.com/jupyter/docker-stacks/blob/main/datascience-notebook/Dockerfile))
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to get a feel for what's possible and the best practices.
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