Increase tenacity retries

[DnPlas]

Context

Most (if not all) of the Jupyter notebooks that are used to test various components use tenacity for retrying different operations:

1. Assert that the workload succeeded or is running
2. Assert that the workload is deleted correctly

The problem with this is that the retry time can vary from machine to machine; very constrained machines, or machines behind a proxy, will take longer to create the task, bring the workload Pod up and running, and run until completion. Because of this, the proposal is to make the retries configurable.

What needs to get done

1. Identify all the places where tenacity retries are used
2. Make those retries (either the time limit or number of attempts) configurable, for example, passing a flag to the tox command --retries-limit=<number>

Definition of Done

The UATs have a configuration option for increasing or decreasing the retries time or attempts.

[syncronize-issues-to-jira]

Thank you for reporting us your feedback!

The internal ticket has been created: https://warthogs.atlassian.net/browse/KF-6271.

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