automated this import

[niveditasing]

Summary of Changes

Addressed Gemini review comments on the US Census Surface Area import:

1. Fixed fallback file matching (preprocess.py): Updated the fallback logic so it won't accidentally match files from other years that have a year prefix (e.g. 2018_...).
2. Fixed file moving on Windows (preprocess.py): Closed the temporary download file before moving it to destination to prevent PermissionError.
3. Added unit tests (preprocess_test.py): Added test cases for fallback matching and atomic file downloads.
4. Cleaned up config and docs (manifest.json, README.md): Removed unused golden_data references from manifest.json and aligned README.md with the active rules in validation_config.json.

Testing

• All 8 unit tests passed: python3 -m unittest scripts/us_census/surface_area/preprocess_test.py
• Differ summary: https://storage.mtls.cloud.google.com/datcom-import-test/scripts/us_census/uscensusgeos_surfacearea/surface_areaa/diff/differ_summary.json
• report.json: https://storage.mtls.cloud.google.com/datcom-import-test/scripts/us_census/uscensusgeos_surfacearea/surface_areaa/output_files/new_gen/report.json
• summary_report.csv: https://storage.mtls.cloud.google.com/datcom-import-test/scripts/us_census/uscensusgeos_surfacearea/surface_areaa/output_files/new_gen/summary_report.csv

[gemini-code-assist]

Code Review

This pull request automates the ingestion and preprocessing of US Census Gazetteer files and State Area Measurements to calculate surface area across various geographic entities. Feedback on the changes highlights a potential bug in the fallback file-matching logic that could lead to silent data corruption, a cross-platform compatibility issue on Windows due to moving an open temporary file, and a discrepancy where the validation configuration is missing two of the rules documented in the README.