feat: Added the PipelineJob.from_pipeline_func method #1415
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…is called It's advised to not perform any complex operations (especially making external changes) as part of constructors of factory methods.
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…ith PipelineJob Unfortunately, the parameter_values parameter name itself was chosen inconsistently with the KFP SDK and ComponentSpec that both use the "arguments" naming.
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Hello. I think I've implemented and resolved all feedback. I've also added the new method to the integration tests and unit tests. (I'm not sure the integration tests are checked during the presubmit). |
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The new factory method reduces the pipeline submission boilerplate to absolute minimum.
```python
aiplatform.PipelineJob.from_pipeline_func(training_pipeline).submit()
```
What it does:
1. Compiles pipeline
2. Provides sensible default values for the pipeline display name, job_id, context etc.
3. Generates GCS directory for the pipeline output artifacts if needed
4. Creates the GCS bucket for the artifacts if it does not exist. (And gives the Pipelines service account the required permissions)
Example usage:
```python
def training_pipeline(number_of_epochs: int = 10):
train_op(
number_of_epochs=number_of_epochs,
learning_rate="0.1",
)
job = aiplatform.PipelineJob.from_pipeline_func(training_pipeline)
job.submit()
```
---
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:
- [ ] 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)
- [ ] Appropriate docs were updated (if necessary)
Fixes #<issue_number_goes_here> 🦕
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The new factory method reduces the pipeline submission boilerplate to absolute minimum.
What it does:
Example usage:
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:
Fixes #<issue_number_goes_here> 🦕