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A Pulumi package for creating and managing DataRobot resources.

Project description

DataRobot Resource Provider

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.

Installing

This package is available for several languages/platforms:

Python

To use from Python, install using pip:

pip install pulumi_datarobot

Javscript/Typescript

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

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

.NET

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

dotnet add package DataRobotPulumi.Datarobot

YAML

No install necessary, just run pulumi up.

Configuration

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

Examples

See datarobot-pulumi examples

Air-Gapped Environments

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
    
    1. 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`.

    1. 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 
    

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