feat: generativeaionvertexai_embedding_batch

[gryczj]

Description

Fixes #

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Checklist

• I have followed guidelines from CONTRIBUTING.MD and Samples Style Guide
• Tests pass: npm test (see Testing)
• Lint pass: npm run lint (see Style)
• 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)
• This pull request is from a branch created directly off of GoogleCloudPlatform/nodejs-docs-samples. Not a fork.
• This sample adds a new sample directory, and I updated the CODEOWNERS file with the codeowners for this sample
• This sample adds a new sample directory, and I created GitHub Actions workflow 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 1 region tag.

• ai-platform/snippets/create-batch-embedding.js:20, tag generativeaionvertexai_embedding_batch

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[iennae]

@gemini review

[code-review-assist-experimental]

This pull request introduces a new snippet and its corresponding test for creating batch embeddings using the Vertex AI API. The code is well-structured and follows the project's contribution guidelines. However, there are a few areas that could be improved for clarity, maintainability, and best practices.

[code-review-assist-experimental]

The TODO comment asks the developer to uncomment/update these variables. It would be helpful to provide more specific instructions or examples of how these variables should be updated, including valid formats and constraints. For instance, specify the expected format for inputUri and outputUri, and whether jobName can contain special characters.

Suggested change

	/**
	* TODO(developer): Uncomment/update these variables before running the sample.
	*/
	/**
	* TODO(developer): Uncomment and replace the following placeholders before running the sample.
	* - projectId: Replace with your Google Cloud project ID.
	* - inputUri: Replace with the URI of the input dataset. This can be a BigQuery table or a Google Cloud Storage file.
	* Examples: "gs://[BUCKET]/[DATASET].jsonl" or "bq://[PROJECT].[DATASET].[TABLE]".
	* - outputUri: Replace with the URI where the output will be stored. This can be a BigQuery table or a Google Cloud Storage file.
	* Examples: "gs://[BUCKET]/[OUTPUT].jsonl" or "bq://[PROJECT].[DATASET].[TABLE]".
	* - jobName: Replace with a descriptive name for the batch embedding job. Avoid special characters.
	*/

[iennae]

This doesn't follow our style guidelines and would make sample management unwieldy

[code-review-assist-experimental]

I understand your concern about style guidelines. Could you please clarify which specific aspects of the suggested changes violate your style guide? Knowing the specific rules will help me refine the suggestion to better align with your team's preferences. For example, are there length restrictions on comments, preferred ways to format URIs, or specific naming conventions for variables that are being violated?

[code-review-assist-experimental]

Consider making textEmbeddingModel and location configurable parameters passed to the main function. This would make the snippet more flexible and reusable.

[code-review-assist-experimental]

Instead of just logging the raw response, consider logging specific fields that are relevant to the user, such as the job ID, status, and output URI. This would make it easier for the user to track the job's progress and access the results.

Suggested change

	console.log('Raw response: ', JSON.stringify(response, null, 2));
	console.log('Batch prediction job created:', response.name);
	console.log('Job ID:', response.name.split('/').pop());
	console.log('Output URI:', response.outputConfig.gcsDestination.outputUriPrefix);

[code-review-assist-experimental]

It's good practice to use a dedicated test project for integration tests to avoid conflicts with other resources. Consider using a separate project for testing and setting the project ID explicitly in the test configuration.

[code-review-assist-experimental]

The comment mentions UsageReports, but this test creates a bucket for embedding output. Update the comment to reflect the actual purpose of the bucket.

Suggested change

	// Create a Google Cloud Storage bucket for UsageReports
	// Create a Google Cloud Storage bucket for embedding output

[code-review-assist-experimental]

Similar to the previous comment, this one also mentions usage reports. Update it to reflect the purpose of deleting the bucket.

Suggested change

	// Delete the Google Cloud Storage bucket created for usage reports.
	// Delete the Google Cloud Storage bucket created for embedding output.