form.yml.erb

<%-
  groups = OodSupport::User.new.groups.sort_by(&:id).tap { |groups|
    groups.unshift(groups.delete(OodSupport::Process.group))
  }.map(&:name).grep(/^P./)
-%>
---
cluster:
  - "owens"
  - "pitzer"
form:
  - account
  - jupyterlab_switch
  - spark_version
  - bc_num_hours
  - bc_num_slots
  - node_type
  - num_workers
  - spark_configuration_file
  - only_driver_on_root
  - include_tutorials
  - bc_email_on_started
  - version
attributes:
  account:
    label: "Project"
    widget: select
    options:
      <%- groups.each do |group| %>
      - "<%= group %>"
      <%- end %>
  num_workers:
    widget: "number_field"
    value: "1"
    min: "1"
    max: "28"
    label: "Number of workers per node"
    help: |
      This describes how the cores and memory are divvied up on the node
      (*useful to reduce memory allocated for each worker*). Should be a
      multiple of the number of cores on the node you chose above. Do **NOT**
      exceed the number of cores on the node.
  node_type:
    widget: select
    label: "Node type"
    help: |
      - **any** - (*28 cores Owens*, *40 cores Pitzer*) Use any available Owens or Pitzer node. This reduces the
        wait time as there are no node requirements.
      - **hugemem** - (*4-48 cores Owens*, *20-80 cores Pitzer*) Use an Owens node that has 1.5TB of
        available RAM as well as 48 cores, or a Pitzer node that has 3TB of available RAM as well as 80 cores. 
        There are 16 of these nodes on Owens and 4 on Pitzer.
    options:
      - [ 
          "any", "any",
          data-max-num-workers-for-cluster-owens: 28,
          data-max-num-workers-for-cluster-pitzer: 48,
        ]
      - [ 
          "hugemem", "hugemem",
          data-max-num-workers-for-cluster-owens: 48,
          data-max-num-workers-for-cluster-pitzer: 80,
        ]
  spark_configuration_file:
    help: Override defaults with a new configuration file. Leave blank to use defaults.
  only_driver_on_root:
    widget: "check_box"
    label: Only launch the driver on the master node.
    help: |
      This is typically used for `.collect` and `.take` operations that require
      a large amount of memory allocated (> 2GB) for the driver process.
  include_tutorials:
    widget: "check_box"
    label: Include access to OSC tutorial/workshop notebooks.
  jupyterlab_switch:
    widget: "check_box"
    label: "Use JupyterLab instead of Jupyter Notebook?"
    help: |
      JupyterLab is the next generation of Jupyter, and is completely compatible with existing Jupyter Notebooks.
  spark_version:
    widget: "select"
    options:
      - [
          "3.4.1", "3.4.1",
        ]
      - [
        "3.0.1", "3.0.1",
        ]
      - [
        "2.4.5", "2.4.5",
        data-option-for-cluster-owens: false,
        ]
      - [
        "2.3.0", "2.3.0",
        data-option-for-cluster-pitzer: false
        ]
  version:
    widget: "select"
    label: "JupyterLab Version"
    options:
      - [
        "3.0", "app_jupyter/3.0.17",
        ]
      - [
        "2.2", "app_jupyter/2.2.10",
        ]
      - [
        "1.2", "app_jupyter/1.2.21",
        ]