feat: add timeout arg across SDK#1099
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LGTM with minor comments. Thanks Sara!
| Overrides encryption_spec_key_name set in aiplatform.init. | ||
| create_request_timeout (float): | ||
| Optional. The timeout for initiating this create request in seconds. Note: | ||
| this does not set the timeout on the underlying create job, only on the time |
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Preference to reduce this docstring to The timeout for the create request in seconds. throughout.
| # import_request_timeout is None since user is issuing a single request with create and import | ||
| if isinstance(datasource, _datasources.DatasourceImportable): | ||
| dataset_obj._import_and_wait(datasource) | ||
| dataset_obj._import_and_wait(datasource, import_request_timeout=None) |
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Preference to handle this as a default in _import_and_wait instead of passing None directly.
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In this case should create() accept both create_request_timeout and import_request_timeout parameters?
| return dataset_obj | ||
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| def _import_and_wait(self, datasource): | ||
| def _import_and_wait(self, datasource, import_request_timeout): |
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Preference to use this chance to include a docstring and type hints.
sasha-gitg
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Adds e2e test for AutoML Forecasting and unit test for `TimeSeriesDataset`. Also adds `create_request_timeout` to `TimeSeriesDataset`, which #1099 seems to have missed. --- Thank you for opening a Pull Request! Before submitting your PR, there are a few things you can do to make sure it goes smoothly: - [x] Make sure to open an issue as a [bug/issue](https://github.com/googleapis/python-aiplatform/issues/new/choose) before writing your code! That way we can discuss the change, evaluate designs, and agree on the general idea - [x] Ensure the tests and linter pass - [x] Code coverage does not decrease (if any source code was changed) - [x] Appropriate docs were updated (if necessary) Fixes #<issue_number_goes_here> 🦕
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Addresses b/225964107 🦕
I added a
timeoutarg and relevant tests to these methods:Model.uploadModel.deployPipelineJob.submit*TrainingJob.runCustomJob.runHyperparameterTuningJob.runBatchPredictionJob.create*Dataset.create*Dataset.import_dataTensorboard.createTensorboardExperiment.createTensorboardRun.createFeaturestore.createFeaturestore.create_entity_typeFeaturestore.updateFeaturestore.batch_serve_to_bqFeaturestore.batch_serve_to_gcsFeaturestore.batch_serve_to_dfEntityType.createEntityType.updateEntityType.readEntityType.create_featureEntityType.batch_create_featuresEntityType.ingest_from_bqEntityType.ingest_from_gcsEntityType.ingest_from_dfFeature.createFeature.updateFor most of these methods, I gave the timeout arg a name specific to the method (i.e.
upload_request_timeout) to differentiate the timeout of initiating the request (what this PR applies to) vs. the timeout of the underlying job.