Skip to main content

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 
    

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

pulumi_datarobot-0.4.5.tar.gz (59.8 kB view details)

Uploaded Source

File details

Details for the file pulumi_datarobot-0.4.5.tar.gz.

File metadata

  • Download URL: pulumi_datarobot-0.4.5.tar.gz
  • Upload date:
  • Size: 59.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for pulumi_datarobot-0.4.5.tar.gz
Algorithm Hash digest
SHA256 18902c6fc8d66d1b2cd72c95108b6a9557b17b713f03a5e6c9f3c35052204d31
MD5 5ba766d35433c0a7638736f6fc3d1779
BLAKE2b-256 36fe5e880cf691c6f62abc6f961c7ed0a29e505b7e7a9e18ea7ec527542170a6

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page