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Kfp diagnose_me pipeline #2843
Kfp diagnose_me pipeline #2843
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good catch :) Co-Authored-By: Jiaxiao Zheng <jxzheng@google.com>
Check out this pull request on You'll be able to see Jupyter notebook diff and discuss changes. Powered by ReviewNB. |
/assign @numerology |
Please see the comments via ReviewNB. Its visualization compatibility with Github is not great. |
LGTM modulo one nit issue :) |
/lgtm |
[APPROVALNOTIFIER] This PR is APPROVED This pull-request has been approved by: numerology The full list of commands accepted by this bot can be found here. The pull request process is described here
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* Making json output format easier to read * Update sdk/python/kfp/cli/diagnose_me_cli.py good catch :) Co-Authored-By: Jiaxiao Zheng <jxzheng@google.com> * update based on feedback * Sample env validation pipeline with diagnose_me * removing files that I accidentally added * update based on review feedback * diagnose_me based validation pipeline * updating sample based on review feedback * updating project_id comment * removed sequential execution * changing comment on base image Co-authored-by: Jiaxiao Zheng <jxzheng@google.com>
Adding a pipeline based on diagnose_me code to that helps verify credentials, enabled APIs, and cloud scope.
The pipeline runs diangose_me as a first step to make it easy for users to capture their environment configuration and share the results with support teams.
This change is