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Showing content from https://github.com/saturncloud/examples below:

saturncloud/examples: Example projects for getting started with Saturn Cloud

These are the Saturn Cloud Examples most of which are used to create default template resources on every Saturn Cloud installation (this behavior can be turned on or off by Saturn Cloud admins).

Each example has a recipe that describes how the resource should be setup as well as files (notebooks, markdown, python scripts) that contain the actual example content. If you would like to explore these examples, select one of the template resources from the resources page of Saturn Cloud or view the examples in the Saturn Cloud docs.

The Saturn Cloud docs pull directly from these notebooks. The docs pull in the notebooks using a manually run script make_md.py from the website repo.

In the section above we say most of the examples become default templates. This is because there is a special doc that specifies which examples are templates and how those get configured. That doc is .saturn/templates.json

Notes about templates:

• CI will check that the thumbnail_image_url exists, so you need to upload the thumbnail for it to pass.
• Every template needs to have a unique weight

Each resource is a separate dir within the examples folder. For each resource there is one subdir called .saturn which contains the information specific to the Saturn Cloud resource.

The most important file within the .saturn folder is the saturn.json file which is a resource recipe. Here is an example of a saturn.json file:

{
  "name": "pytorch",
  "image_uri": "public.ecr.aws/saturncloud/saturn-pytorch:2022.03.01",
  "description": "Use PyTorch with a single GPU or across multiple GPUs with Dask",
  "working_directory": "/home/jovyan/examples/examples/pytorch",
  "extra_packages": {
    "pip": "torch dask-pytorch-ddp seaborn"
  },
  "git_repositories": [
    {
      "url": "https://github.com/saturncloud/examples"
    }
  ],
  "jupyter_server": {
    "disk_space": "10Gi",
    "instance_type": "g4dnxlarge",
  },
  "dask_cluster": {
    "num_workers": 3,
    "worker": {
      "instance_type": "g4dnxlarge",
    },
    "scheduler": {
      "instance_type": "large"
    }
  }
}

It's possible that other files might existing in the .saturn folder, such as start which might be referenced from the recipe and contain the start_script for the resource. However, no file besides saturn.json is required.

Notes about recipes:

• The disk_space must be one of the preset choices from the Saturn Cloud UI, it can't be an arbitrary amount of disk space.
• You can reference a start script in a separate file by including a start script like bash .saturn/start. Note that the path is relative to the working_directory.

Each folder below examples/ should have a README.md. This should contain relevant information for understanding the example, such as:

• description of any manual steps needed to use the code (like configuring credentials)
• links to reference material like blogs posts or data dictionaries

If your example involves data files they should be saved in the Saturn Cloud public S3 (ask @hhuuggoo for permission to access this). Each data file should be saved in the examples folder in the bucket in a subfolder with the same name as the example folder in this repo. In your code, use the HTTP path to download the file rather than a Python S3 package, since not all of the readers will have an understanding of S3. For example in Pandas you can run:

pd.read_csv("https://saturn-public-data.s3.us-east-2.amazonaws.com/examples/dashboard/pickup_grouped_by_zone.csv")

If your example needs a Dask cluster, make sure you specify both the number of workers in the saturn.json file and also within the notebooks themselves to correctly use wait for workers. If you have to change the number of workers in the example make sure you change it in both places.

Example chunk in a notebook, where n_workers is the same value as the saturn.json one:

n_workers = 3
cluster = SaturnCluster(n_workers=n_workers)
client = Client(cluster)
client.wait_for_workers(n_workers)

Each example needs a thumbnail to show in the ui. The thumbnails should be 500px*250px images. They should be saved in the s3 bucket saturn-public-assets in the example-thumbnails folder with a name that matches the name of the example. So for the dashboard example the url would be: https://saturn-public-assets.s3.us-east-2.amazonaws.com/example-thumbnails/dashboard.png

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