modified USCensusPEP_PopulationEstimatebyRace code to skip empty files

[niveditasing]

No description provided.

[gemini-code-assist]

Summary of Changes

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This pull request significantly enhances the robustness of the data processing pipeline for USCensusPEP_PopulationEstimatebyRace. The changes focus on improving error handling and data validation at various stages, from initial data cleaning to URL verification and file downloading. By proactively addressing potential issues like empty dataframes, missing columns, and incorrect file types during download, the system becomes more resilient to unexpected data formats and server responses, leading to more reliable data ingestion.

Highlights

• Robust Empty DataFrame Handling: Introduced checks for empty or None DataFrames and missing 'YEAR' columns in _clean_county_2022_csv_file and _transform_data to prevent errors and ensure graceful processing of potentially malformed input.
• Improved File Download Validation: Enhanced the add_future_yearurls function to validate the content type of prospective URLs, ensuring only actual CSV files are considered for download, and added more specific error handling for unreachable URLs.
• Prevented HTML Download as CSV: Added a new check in download_files to inspect the Content-Type header of downloaded responses, explicitly skipping files if the server returns HTML content instead of the expected CSV.

Changelog

• scripts/us_census/pep/population_estimate_by_race/preprocess.py
  • Added checks for empty DataFrames and missing 'YEAR' column in _clean_county_2022_csv_file to prevent processing invalid data.
  • Included a check in _load_data to skip further processing for files that result in an empty DataFrame after cleaning.
  • Implemented a check in _transform_data to gracefully handle and log when no data is available for transformation.
  • Modified add_future_yearurls to use requests.head with timeout and redirect options, and to verify Content-Type is 'text/csv' before adding URLs to the download list.
  • Updated add_future_yearurls to log informative messages when data for future years is not yet available or URLs are unreachable.
  • Introduced a content type check in download_files to prevent downloading HTML error pages when expecting CSV files.

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[gemini-code-assist]

Code Review

This pull request improves the robustness of the data processing script by adding checks to handle empty or invalid files. Specifically, it adds logic to:

• Skip processing for empty or malformed dataframes in _clean_county_2022_csv_file and propagate this to _load_data and _transform_data.
• In add_future_yearurls, it now checks the Content-Type header to ensure a CSV is available before adding it to the download list, preventing the download of HTML error pages.
• In download_files, it adds a similar Content-Type check to skip downloading HTML files.

The changes are logical and improve the script's reliability. I've found a critical bug in the new URL checking logic that will cause a syntax error, and a minor issue with an incorrect function signature and docstring. My review includes suggestions to fix these.

[saanikaaa]

LGTM