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Is it possible to create a double-container KubeFlow pipeline which steps would be as follows:

Container #1. Container runs and creates an output which is a 'text' argument and stores it as an output txt. Example:

name: some-pipeline
description: Testing if my pipeline works

implementation:
    container:
        image: url-to-some-image:latest_tag
        command: [python3, test-file.py]

Container #2. load_component_from_text(text=), 'text' parameter shall take output from container #1 as an argument.

The pipeline shall run recurringly. Each time Container #1 shall check the latest tag of image and pass it as an 'text' argument to "container #2". Is it possible to do that using kfp/dsl python libraries or what is correct way to solve such problem?

Andromeda
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Ilja Matjas
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  • Please edit the question to limit it to a specific problem with enough detail to identify an adequate answer. – Community Jul 04 '23 at 01:53

0 Answers0