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IBM CPD Orchestration Python Client

This package supports users in usage of CPD Orchestration. It's primary usage is to enable users to store artifact results of a Orchestration Flow run.

Usage

Client construction

CPDOrchestration client is constructed from IAM APIKEY, which can be provided in a few ways:

  • explicitly:

    from ibm_cpp_orchestration import CPDOrchestration
    
    client = CPDOrchestration(apikey)
    # or
    client = CPDOrchestration.from_apikey(apikey)
    
  • implicitly:

    APIKEY=...
    export APIKEY
    
    from ibm_cpp_orchestration import CPDOrchestration
    
    client = CPDOrchestration()
    # or
    client = CPDOrchestration.new_instance()
    # or
    client = CPDOrchestration.from_apikey()
    

All of the above may also define service_name and url.

Usage in Python notebooks

Notebooks run in Orchestration Platform get inputs and expose outputs as a node in Orchestration Flow:

{
  "id": ...,
  "type": "execution_node",
  "op": "run_container",
  "app_data": {
    "pipeline_data": {
      "name": ...,
      "config": {
        "link": {
          "component_id_ref": "run-notebook"
        }
      },
      "inputs": [
        ...,
        {
          "name": "model_name",
          "group": "env_variables",
          "type": "String",
          "value_from": ...
        }
      ],
      "outputs": [
        {
          "name": "trained_model",
          "group": "output_variables",
          "type": {
            "CPDPath": {
              "path_type": "resource",
              "resource_type": "asset",
              "asset_type": "wml_model"
            }
          }
        }
      ]
    }
  },
  ...
}

Inside of the notebook, inputs are available as environmental variables:

model_name = os.environ['model_name']

Outputs are exposed using sdk method, store_results:

client = CPDOrchestration.from_apikey(...)
client.store_results({
  "trained_model": ... // cpd path to the trained model
})

Other features

Client also provides a method to get WML instance credentials:

client.get_wml_credentials() # the scope passed in notebook
# or
client.get_wml_credentials("cpd://projects/123456789")

Contribution

See a separate document on contribution.

Metadata

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