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Create topic before publishing prediction log (#556)
<!-- Thanks for sending a pull request! Here are some tips for you: 1. Run unit tests and ensure that they are passing 2. If your change introduces any API changes, make sure to update the e2e tests 3. Make sure documentation is updated for your PR! --> # Description <!-- Briefly describe the motivation for the change. Please include illustrations where appropriate. --> Currently, if the Kafka brokers do not support auto topic creation, PyfuncV3Model will fail to publish the prediction log due to missing topic. This PR add a step to ensure that the topic is present prior to publishing the message. # Modifications <!-- Summarize the key code changes. --> Create topic during publisher initizliation. # Tests <!-- Besides the existing / updated automated tests, what specific scenarios should be tested? Consider the backward compatibility of the changes, whether corner cases are covered, etc. Please describe the tests and check the ones that have been completed. Eg: - [x] Deploying new and existing standard models - [ ] Deploying PyFunc models --> # Checklist - [ ] Added PR label - [ ] Added unit test, integration, and/or e2e tests - [ ] Tested locally - [ ] Updated documentation - [ ] Update Swagger spec if the PR introduce API changes - [ ] Regenerated Golang and Python client if the PR introduces API changes # Release Notes <!-- Does this PR introduce a user-facing change? If no, just write "NONE" in the release-note block below. If yes, a release note is required. Enter your extended release note in the block below. If the PR requires additional action from users switching to the new release, include the string "action required". For more information about release notes, see kubernetes' guide here: http://git.k8s.io/community/contributors/guide/release-notes.md --> ```release-note ```
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