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Default Param Overwrite

This example showcases how a Python source can be scheduled with default parameters as kwargs but overwritten conditionally.

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from hera.workflows import DAG, Workflow, script


@script()
def generator():
    print("Another message for the world!")


@script()
def consumer(message: str = "Hello, world!"):
    print(message)


with Workflow(generate_name="default-param-overwrite-", entrypoint="d") as w:
    with DAG(name="d"):
        g = generator()
        c_default = consumer(name="consumer-default")
        c_param = consumer(name="consumer-param", arguments=g.get_result_as("message"))
        g >> [c_default, c_param]

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apiVersion: argoproj.io/v1alpha1
kind: Workflow
metadata:
  generateName: default-param-overwrite-
spec:
  entrypoint: d
  templates:
  - dag:
      tasks:
      - name: generator
        template: generator
      - depends: generator
        name: consumer-default
        template: consumer
      - arguments:
          parameters:
          - name: message
            value: '{{tasks.generator.outputs.result}}'
        depends: generator
        name: consumer-param
        template: consumer
    name: d
  - name: generator
    script:
      command:
      - python
      image: python:3.8
      source: |-
        import os
        import sys
        sys.path.append(os.getcwd())
        print('Another message for the world!')
  - inputs:
      parameters:
      - default: Hello, world!
        name: message
    name: consumer
    script:
      command:
      - python
      image: python:3.8
      source: |-
        import os
        import sys
        sys.path.append(os.getcwd())
        import json
        try: message = json.loads(r'''{{inputs.parameters.message}}''')
        except: message = r'''{{inputs.parameters.message}}'''

        print(message)

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