Python Scripts

Using the Pipekit Python SDK in Python scripts

Example

The following example runs the coinflip workflow in the argo namespace using the argo-workflow service account via Pipekit.

Use the Pipekit CLI to generate a token using pipekit hera (ensure you are logged in first).

from hera.workflows import Container, Step, Steps, Workflow, script
from pipekit_sdk.service import PipekitService

pipekit = PipekitService(token="<token>")

@script(image="python:alpine3.6", command=["python"], add_cwd_to_sys_path=False)
def flip_coin() -> None:
    import random

    result = "heads" if random.randint(0, 1) == 0 else "tails"
    print(result)

with Workflow(
    generate_name="coinflip-",
    annotations={
        "workflows.argoproj.io/description": (
            "This is an example of coin flip defined as a sequence of conditional steps."
        ),
    },
    entrypoint="coinflip",
    namespace="argo",
    service_account_name="argo-workflow",
) as w:
    heads = Container(
        name="heads",
        image="alpine:3.6",
        command=["sh", "-c"],
        args=['echo "it was heads"'],
    )
    tails = Container(
        name="tails",
        image="alpine:3.6",
        command=["sh", "-c"],
        args=['echo "it was tails"'],
    )

    with Steps(name="coinflip") as s:
        fc: Step = flip_coin()

        with s.parallel():
            heads(when=f"{fc.result} == heads")
            tails(when=f"{fc.result} == tails")

pipekit.submit(w, "clusterB")