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Current limitations for auto-generated pipelines for component #286

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Tomcli opened this issue Jan 14, 2022 · 2 comments
Open

Current limitations for auto-generated pipelines for component #286

Tomcli opened this issue Jan 14, 2022 · 2 comments

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@Tomcli
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Tomcli commented Jan 14, 2022

Is your feature request related to a problem? Please describe.
Here is the list of limitations for the current code generation:

  1. Description is required in MLX, but optional in KFP
  2. MLX only can pass parameters as string type. If KFP component has non-string type, the pipeline will have type errors in the arguments.
  3. Component parameter names need to be sanitized as Python variable. (https://github.com/kubeflow/pipelines/blob/master/components/git/clone/component.yaml)
  4. MLX converted double quote " into single quote ' for all the parameter values. This doesn't work for some components when users need to pass in JSON string with double quote around their keys and values. (e.g. https://github.com/kubeflow/pipelines/blob/master/components/contrib/json/Combine_lists/component.yaml)

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Describe alternatives you've considered
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@Tomcli
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Tomcli commented Jan 14, 2022

I think 3 and 4 should be easier to fix. 1 and 2 is nice to have but could be difficult to cover all the edge cases.

@Tomcli
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Tomcli commented Jan 14, 2022

/cc @ckadner

ckadner added a commit to ckadner/mlx that referenced this issue Jan 19, 2022
* Many kubeflow/pipelines components do not have a description
* Replace characters in component parameter names that are not
  allowed in Python identifiers

Related machine-learning-exchange#286

Signed-off-by: Christian Kadner <ckadner@us.ibm.com>
mlx-bot pushed a commit that referenced this issue Jan 20, 2022
* Many kubeflow/pipelines components do not have a description
* Replace characters in component parameter names that are not
  allowed in Python identifiers

Related #286

Signed-off-by: Christian Kadner <ckadner@us.ibm.com>
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