Python API sample code for Dataiku release processing automation

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Toshiaki
Toshiaki Partner, Dataiku DSS Core Designer, Dataiku DSS & SQL, Dataiku DSS ML Practitioner, Dataiku DSS Adv Designer Posts: 5 Partner
I would like to automate the release process of Dataiku.
The manual information referred to below has been linked, but if anyone has a sample code for Python, could you share it? I think it is necessary to implement the following processing.
Design Node
① Create a project bundle (specify the model, folder, and dataset to be included in the bundle)
Deployer Node
(2) Definitions of Deployments (Variables, Connections, Code envs, Scenerios)
③ Deploy DN → DP bundle
④ Deploy DP → AN bundle
Automation Node
⑤ Activate the project
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Answers

  • pmasiphelps
    pmasiphelps Dataiker, Dataiku DSS Core Designer, Registered Posts: 33 Dataiker
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    Hi,

    You can automate this using Scenarios, no need to use python code.

    First, create a sequence of steps scenario:

    Screen_Shot_2022-05-03_at_10_11_29_AM.png

    Then add a "Create bundle" step:

    Screen_Shot_2022-05-03_at_10_11_43_AM.png

    The options I've chosen below will create a bundle id variable called "bundle_id", and ensure bundle_id is unique, then publish this bundle to the Deployer:

    Screen Shot 2022-05-03 at 10.14.08 AM.png

    Next, add an "Update project deployment" step:

    Screen_Shot_2022-05-03_at_10_11_43_AM.png

    Your Deployment id should generally be "PROJECT_KEY-on-AUTOMATION_NODE_INFRA_NAME", and this ${bundle_id} will pull from the bundle_id variable you defined in the previous step:

    Screen_Shot_2022-05-03_at_10_14_15_AM.png

    Note that you'll have to deploy your first bundle from the deployer manually. For subsequent deployments, this scenario will work.

    Best,

    Pat

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