pipelines

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Environment

• How do you deploy Kubeflow Pipelines (KFP)?

  I deploy the Kubeflow Pipelines (standalone) by Kubeflow Manifests (https://github.com/kubeflow/manifests)

• KFP version:

  1.7.0

• KFP SDK version:

  1.8.2

When I submit a pipeline, I will get the error This step is in Error state with this message: Error (exit code 1): key unsupported: cannot get key for artifact location, because it is invalid

The code is as follows

import kfp
from kfp.components import create_component_from_func

client = kfp.Client()

def add(a: float, b: float) -> float:
  '''Calculates sum of two arguments'''
  return a + b


add_op = create_component_from_func(
    add, output_component_file='add_component.yaml')



import kfp.dsl as dsl

@dsl.pipeline(
  name='Addition pipeline',
  description='An example pipeline that performs addition calculations.'
)
def add_pipeline(
  a='1',
  b='7',
):
  # Passes a pipeline parameter and a constant value to the `add_op` factory
  # function.
  first_add_task = add_op(a, 4)
  # Passes an output reference from `first_add_task` and a pipeline parameter
  # to the `add_op` factory function. For operations with a single return
  # value, the output reference can be accessed as `task.output` or
  # `task.outputs['output_name']`.
  second_add_task = add_op(first_add_task.output, b)

# Specify argument values for your pipeline run.
arguments = {'a': '7', 'b': '8'}

# Create a pipeline run, using the client you initialized in a prior step.
client.create_run_from_pipeline_func(add_pipeline, arguments=arguments, run_name="add-8")

print("submit pipeline")

This problem seems to be related to Minio.

---

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@SeibertronSS, do other pipelines have this error? Have you successfully run a pipeline on this deployment?

It seems like there may be an issue with the deployment related to the minio artifact secret.

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