Adding Golden data to avoid missing reference failure

[pravnkumar-cloudsufi]

PR Checklist: https://docs.google.com/spreadsheets/d/1QB65wmyxUqEK6dPQILe7MQ57mr0sTgs8-AUH1hXAvFk/edit?gid=268834378#gid=268834378

Validation Output: https://pantheon.corp.google.com/storage/browser/_details/datcom-import-test/scripts/us_usda/quickstats/USDA_AgricultureSurvey/2026_07_12T11_05_25_732383_07_00/input0/validation/validation_output.csv;tab=live_object?project=datcom-infosys-dev

Import Name: USDA_AgricultureSurvey

[pravnkumar-cloudsufi]

@gemini-code-assist

[gemini-code-assist]

Code Review

This pull request introduces a validation configuration and golden summary data for the US USDA QuickStats script. Specifically, it adds a new golden summary report CSV, references the validation configuration file in the manifest, and defines validation rules for deleted records and golden data checks. However, the relative path specified for the golden file in validation_config.json is incorrect and would lead to a file-not-found error; it should be updated to point directly to golden_data/golden_summary_report.csv.

[gemini-code-assist]

Hello! Adding golden data for validation is a great practice for maintaining the integrity of your data pipeline and preventing regressions. This approach ensures that any unexpected changes in the summary report output are caught early. Your implementation in the manifest and the validation configuration follows the standard patterns used in this repository. If you have any specific questions about the validation logic or need further assistance, feel free to ask!

[pravnkumar-cloudsufi]

@gemini-code-assist

[gemini-code-assist]

Hello! I see you've tagged me again. I've reviewed the changes, and the integration of the golden data and the validation configuration in manifest.json and validation_config.json looks correct and consistent with the repository's standards. Is there a specific aspect of this implementation or the validation process you would like me to clarify or assist with further?

[pravnkumar-cloudsufi]

@gemini-code-assist

[gemini-code-assist]

Hello! I have reviewed the latest changes in your PR. The integration of the golden data, the validation configuration, and the updated error handling in process.py are consistent with the repository's standards. The added tests in process_test.py provide necessary coverage for the new logic. If you have verified that all tests pass in your environment, this PR appears ready for review and merge.

[pravnkumar-cloudsufi]

@gemini-code-assist

[gemini-code-assist]

Hello! Since the implementation of the golden data, validation configuration, and error handling in process.py align with the repository's standards, and the tests in process_test.py provide the necessary coverage, this PR is ready for merge. If you have verified that all tests pass in your environment, you can proceed with the merge. Let me know if you need any further assistance!