DLP: Added sample for create stored infotype

[dinesh-crest]

DLP: Added sample for create stored infotype
Added unit test cases for the same

PS:- I have marked the test cases to skip as the required resources are not available. I have verified locally and the test cases seem to be working fine if resources are provided.

Description

Reference:- https://cloud.google.com/dlp/docs/creating-stored-infotypes#create-storedinfotye

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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 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.

• dlp/createStoredInfoType.js:30, tag dlp_create_stored_infotype

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[dinesh-crest]

This sample requires resources like valid datasetProject, datasetId, tableId, and outputPath to run the sample. I don't see any reference to their availability in the existing test cases from Environment variables. I also observed they are marked to skip test cases in such cases and hence I have followed the same pattern. I have tested locally and if those resources are provided, the test cases run fine.

[annadata]

This sample requires resources like valid datasetProject, datasetId, tableId, and outputPath to run the sample. I don't see any reference to their availability in the existing test cases from Environment variables. I also observed they are marked to skip test cases in such cases and hence I have followed the same pattern. I have tested locally and if those resources are provided, the test cases run fine.

We should move to using public dataset given in protocol example. That leaves us with a dependency on output path.

[pattishin]

@dinesh-crest please reference comment I made here to resolve the dlp workflow failure #3240 (comment)

[pattishin]

@dinesh-crest Relevant to the github actions error, this PR should be unblocked when this is merged in #3279.