The DataRobot Resource Provider lets you manage DataRobot resources. The provider is built on terraform-provider-datarobot. To use this package, please install the Pulumi CLI first.

This package is available for several languages/platforms:

• Python: pulumi-datarobot
• JavaScript/TypeScript: @datarobot/pulumi-datarobot
• Go: github.com/datarobot-community/pulumi-datarobot/sdk
• .NET: DataRobotPulumi.Datarobot

To use from Python, install using pip:

pip install pulumi_datarobot

To use from JavaScript or TypeScript in Node.js, install using either npm:

npm install @datarobot/pulumi-datarobot

or yarn:

yarn add @datarobot/pulumi-datarobot

go get github.com/datarobot-community/pulumi-datarobot/sdk/go/...

To use from .NET, install using dotnet add package:

dotnet add package DataRobotPulumi.Datarobot

No install necessary, just run pulumi up.

The following configuration points are available for the DataRobot provider:

• datarobot:apikey (environment: DATAROBOT_API_TOKEN) - the API key for DataRobot
• datarobot:endpoint (environment: DATAROBOT_ENDPOINT) - the endpoint for DataRobot

See datarobot-pulumi examples

Keep the following items in mind if running in an air-gapped environment:

• Run pulumi login --local to store state files on your local filesystem, instead of the default Pulumi Cloud. Pulumi binaries are available here.

• Set DATAROBOT_ENDPOINT: https://{datarobot.example.com}/api/v2 (replacing {datarobot.example.com} with your specific deployment endpoint)

• For Python, the pulumi and pulumi-datarobot packages must be installed in the air-gapped system.

  Example using pip wheel:

  1. create a directory where you want to store package wheels.

  mkdir folder_containing_wheel

  2. Now install wheels of the python library you want to install

  pip wheel pulumi-datarobot -w folder_containing_wheel

  This will store all your required dependent wheels of the pulumi-datarobot package in the folder. you can check it with doing ls -ltr`.

  3. Now, you can make a tar file of this folder.

  tar cf folder_containing_wheel.tar folder_containing_wheel/

  and you can transfer it to your air-gapped system.

  Now untar the folder.

  tar xf folder_containing_wheel.tar
  cd folder_containing_wheel/

  now install wheels from the folder.

  pip install * -f ./ --no-index