Python API sample code for Dataiku release processing automation

[Toshi]

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.

https://doc.dataiku.com/dss/latest/python-api/project-deployer.html  
 https://doc.dataiku.com/dss/latest/python-api/projects.html#dataikuapi.dss.project.DSSProject.export....

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

[pmasiphelps]

Hi,

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

First, create a sequence of steps scenario:

Then add a "Create bundle" step:

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:

Next, add an "Update project deployment" step:

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:

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

Best,

Pat