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Add JSON tags for Paging struct #98
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thanks!
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<!-- 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. --> This PR adds 2 new paginated APIs for listing jobs: * `/projects/{project_id}/jobs-by-page` * `/models/{model_id}/versions/{version_id}/jobs-by-page` With this, the use of the existing `.../jobs` list APIs has been replaced by the new APIs in the SDK implementation and will also be replaced for the UI, in another PR. The non-paginated list jobs APIs have been marked deprecated and can be removed eventually. ## Illustration <img width="1303" alt="Screenshot 2024-05-16 at 7 11 21 AM" src="https://github.com/caraml-dev/merlin/assets/23465343/951ff271-5ab1-4b39-b301-bce585322b00"> # Modifications <!-- Summarize the key code changes. --> * `swagger.yaml` - Deprecate existing list jobs APIs. - Add new `/jobs-by-page` APIs. These APIs accept a new `search` query parameter compared to the existing list jobs APIs. This parameter will do partial matches of the job name as opposed to equality matching. This can be particularly useful for searches done from the UI. (The `search` parameter has been named so, taking inspiration from XP - [example](https://github.com/caraml-dev/xp/blob/v0.13.0/api/experiments.yaml#L313).) * `api/api/prediction_job_api.go` - Implement the paginated APIs * `api/service/prediction_job_service.go` - Add `paginator` to `predictionJobService`. - Add Page, PageSize and Search parameters to `ListPredictionJobQuery`. - Add `isPaginated` flag to `ListPredictionJobs` method. When set, the DB query will be executed with the appropriate offset and limit and the pagination data sent back. * `api/storage/prediction_job_storage.go` - Add `Count` method. The `List` method is updated to handle offset and limit. Both methods support partial searching of the `name` column. * `api/go.mod` - Update MLP API dependency to consume caraml-dev/mlp#94 and caraml-dev/mlp#98 * `python/sdk/merlin/model.py` - Update the list prediction job method to use the paginated backed API # 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 --> SDK's `list_prediction_job` API (which lists the jobs for a given model version) now uses the paginated backend API, getting a maximum of 10 results at once. The performance of this has been tested locally with a dataset size of 275 (results in 28 jobs API calls). This does make the SDK method slower (`0.33 seconds` vs `0.85 seconds` locally). If required, in the future, the `page_size` passed to the API call can be explicitly set to a larger value or the pagination options can be exposed to the user via the SDK. # Checklist - [x] Added PR label - [x] Added unit test, integration, and/or e2e tests - [x] Tested locally - [ ] Updated documentation - [x] Update Swagger spec if the PR introduce API changes - [x] 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 Add new paginated APIs for listing prediction jobs. ```
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Follow up from #94.
Adding JSON tags for the
Paging
struct so that the filed names will appear in lower case.