fix(retail): add region tag for nodejs - Update search with query expansion

[rebeccaellis]

Description

Fixes #415382524

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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)
• Required CI tests pass (see CI testing)
• 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

Note: Any check with (dev), (experimental), or (legacy) can be ignored and should not block your PR from merging (see CI testing).

[snippet-bot]

Here is the summary of changes.

You are about to add 1 region tag.

• retail/interactive-tutorials/search/search-with-query-expansion-spec.js:16, tag retail_search_for_products_with_query_expansion_specification

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[gemini-code-assist]

Summary of Changes

Hello @rebeccaellis, I'm Gemini Code Assist¹! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request focuses on improving the discoverability and documentation integration of an existing Node.js retail sample. By adding specific region tags, the code snippet can be automatically included in relevant documentation, enhancing the overall developer experience for users looking to implement search with query expansion.

Highlights

• Documentation/Sample Tagging: I've added [START] and [END] region tags to the search-with-query-expansion-spec.js sample. This helps in automatically extracting and publishing code snippets for documentation, making the sample more discoverable and usable in Google Cloud documentation.

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[gemini-code-assist]

Code Review

This pull request adds region tags to the search-with-query-expansion-spec.js sample file. The tags are correctly named and placed to create a self-contained, runnable sample. My review provides suggestions to refactor the code within this new sample region to improve its overall quality, readability, and alignment with Node.js best practices.

[gemini-code-assist]

Now that this code block is being exposed as a sample, it would be beneficial to refactor it for clarity and to align with common JavaScript best practices.

Here are a few suggestions:

1. Hoist require statements: The require('@google-cloud/retail') call on line 19 should be at the top level of the module, outside the main function. This is standard Node.js practice for better readability and dependency management.

2. Simplify function structure: The main function defines and immediately calls an inner async function callSearch. This wrapper is redundant and can be removed by moving its logic directly into main, simplifying the control flow.

3. Improve error handling: The process.on('unhandledRejection', ...) can be replaced with a more explicit .catch() on the main() call. This would also allow the error handling logic to be moved outside the sample's region tags, which is a common and recommended pattern for samples.

Here is an example of a refactored structure:

'use strict';

const {SearchServiceClient} = require('@google-cloud/retail');

// [START retail_search_for_products_with_query_expansion_specification]
async function main() {
  const retailClient = new SearchServiceClient();
  // ... all logic from callSearch ...
}
// [END retail_search_for_products_with_query_expansion_specification]

main().catch(err => {
  console.error(err.message);
  process.exitCode = 1;
});

These changes would significantly improve the readability and maintainability of the sample.