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WorlddevelopmentIndicator - added logic to skip file that doesn't exist#1920

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niveditasing merged 3 commits intodatacommonsorg:masterfrom
niveditasing:wdi_code_modification
Mar 17, 2026
Merged

WorlddevelopmentIndicator - added logic to skip file that doesn't exist#1920
niveditasing merged 3 commits intodatacommonsorg:masterfrom
niveditasing:wdi_code_modification

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Summary of Changes

Hello, 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 enhances the resilience of the World Bank Indicator data processing script. It modifies the data reading logic to prevent crashes when expected data files for certain countries are absent. Instead of halting execution, the script now logs a warning and gracefully skips the problematic country, allowing the data pipeline to proceed for all other available data.

Highlights

  • Robustness: Replaced an assert statement with a conditional check to gracefully handle cases where data for a specific country is not found within the downloaded World Bank Indicator ZIP file.
  • Error Handling: Implemented a warning log and a return None mechanism in read_worldbank when a file is missing, preventing the script from crashing.
  • Data Processing Flow: Added a continue statement in download_indicator_data to skip further processing for countries where read_worldbank returns None, ensuring the overall data download continues for other valid countries.
Changelog
  • scripts/world_bank/wdi/worldbank.py
    • Replaced an assert statement with an if condition to check for the existence of file_to_open.
    • Added a logging.warning message and returned None when data for a country is not found in the downloaded ZIP.
    • Introduced a continue statement in the download_indicator_data function to skip processing for countries where read_worldbank returns None.
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  • No human activity has been recorded on this pull request yet.
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Code Review

This pull request improves the robustness of the World Bank WDI data processing script by handling cases where a data file for a country might be missing from the downloaded ZIP archive. Instead of crashing with an assertion error, the script now logs a warning and skips the country. This is a good improvement.

However, this change introduces a potential issue where the list of dataframes to be concatenated could be empty, which would cause a ValueError. I've added a comment with a suggestion to handle this edge case to prevent the script from crashing.

@niveditasing niveditasing requested a review from saanikaaa March 17, 2026 05:48
@niveditasing niveditasing merged commit 455f28d into datacommonsorg:master Mar 17, 2026
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3 participants