Open jlewi opened 4 years ago
I created a GitHub app to be used to create PRs https://github.com/organizations/kubeflow/settings/apps/label-bot-cd
Created a private key Finger print a0:3c:a9:87:e9:46:df:55:71:92:87:a1:bc:71:d6:6b:e0:7a:2f:89
Private key is stored in secret manager https://cloud.console.google.com/security/secret-manager/secret/label-bot-cd-github-app-pem?project=issue-label-bot-dev
Installed it on the kubeflow/code-intelligence repo
Issue-Label Bot is automatically applying the labels:
Label | Probability |
---|---|
kind/feature | 0.95 |
Please mark this comment with :thumbsup: or :thumbsdown: to give our bot feedback! Links: app homepage, dashboard and code for this bot.
controller is working locally; Here's an auto-created PR. https://github.com/kubeflow/code-intelligence/pull/166
Now I just need to get it deployed in the cluster.
Its deployed in production. Here's an auto created PR https://github.com/kubeflow/code-intelligence/pull/173
Issue-Label Bot is automatically applying the labels:
Label | Probability |
---|---|
area/jupyter | 0.77 |
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We'd like to periodically (weekly) retrain the model and deploy the latest model to production.
This would allow us to benefit from
We'd like to use GitOps. We should automatically create a PR to update the model and once that model is approved and merged the new model should get deployed automatically.
There are three pieces
The last step was taken care of by #152
For step 2 here's what I'm thinking create a tekton task that does the following
One thing I'm not sure about yet is how to perform the above in a reconcile loop; i.e. only trigger the above if the config isn't already pointing at the latest model