feat: Text-embedding model tuning demo.

[lee1premium]

Description

Fixes: http://b/320696823

Checklist

• I have followed Sample Format Guide
• pom.xml parent set to latest shared-configuration
• Appropriate changes to README are included in PR
• These samples need a new API enabled in testing projects to pass (let us know which ones)
• These samples need a new/updated env vars in testing projects set to pass (let us know which ones)
• Tests pass: mvn clean verify required
• Lint passes: mvn -P lint checkstyle:check required
• Static Analysis: mvn -P lint clean compile pmd:cpd-check spotbugs:check advisory only
• This sample adds a new sample directory, and I updated the CODEOWNERS file with the codeowners for this sample
• This sample adds a new Product API, and I updated the Blunderbuss issue/PR auto-assigner with the codeowners for this sample
• Please merge this PR for me once it is approved

[snippet-bot]

Here is the summary of changes.

You are about to add 3 region tags.

• aiplatform/src/main/java/aiplatform/EmbeddingModelTuningSample.java:19, tag aiplatform_sdk_embedding_model_tuning
• aiplatform/src/main/java/aiplatform/EmbeddingModelTuningSample.java:36, tag aiplatform_sdk_embedding_model_tuning
• aiplatform/src/main/java/aiplatform/EmbeddingModelTuningSample.java:67, tag aiplatform_sdk_embedding_model_tuning

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[lee1premium]

@minherz Can we move on rather than addressing your concerns, after we create bugs for code quality problems? I cannot make a big difference over Vertex AI platform code samples.

I appreciate your comments/code quality concerns. I didn't come up with such bad coding practice. I just repeated the same, bad pratice from https://github.com/GoogleCloudPlatform/java-docs-samples/tree/main/aiplatform/src

• You can find a ton of samples using the same region tags.
• You can find a few other samples using the same catch clauses.
• You can find a few other samples using the same retry over deletion.
• You can find a ton of samples using STDOUT for testing.

[minherz]

@minherz Can we move on rather than addressing your concerns, after we create bugs for code quality problems? I cannot make a big difference over Vertex AI platform code samples.

The whole point of the code review is code quality. We don't need the review if we can skip this phase. I find the code hard for maintenance due to lack of resilience in test implementation and running times.
I pointed to a violation of guidelines and a redundant code lines that are easily fixable and improve the code quality.
Please remember, that this code represents Google engineering quality among other things. I do believe the investing some time worth the effort.

[lee1premium]

@minherz Done rewriting the sample and test. Please, take a look.

[minherz]

Thank you for your work. Consider addressing the minor comments.

[davidcavazos]

err: signal: killed after 27 minutes, looks like a timeout. Something's taking too long during the test.

[lee1premium]

How can you ignore these irrelevant, flaky tests? I have no way to see the pipeline creation failure details at projects/ucaip-sample-tests.

Java 11 - CI failed at aiplatform.CreateTrainingPipelineSampleTest and aiplatform.CancelTrainingPipelineSampleTest

• Caused by: io.grpc.StatusRuntimeException: FAILED_PRECONDITION: The TrainingPipeline "projects/ucaip-sample-tests/locations/us-central1/trainingPipelines/6971726189157154816" is in state PIPELINE_STATE_FAILED and cannot be canceled.
• Caused by: io.grpc.StatusRuntimeException: FAILED_PRECONDITION: The TrainingPipeline "projects/ucaip-sample-tests/locations/us-central1/trainingPipelines/4361890205095952384" is in state PIPELINE_STATE_FAILED and cannot be canceled.

Java 17 - CI failed at aiplatform.CancelTrainingPipelineSampleTest

• Caused by: io.grpc.StatusRuntimeException: FAILED_PRECONDITION: The TrainingPipeline "projects/ucaip-sample-tests/locations/us-central1/trainingPipelines/4551745076887289856" is in state PIPELINE_STATE_FAILED and cannot be canceled.