WorlddevelopmentIndicator - added logic to skip file that doesn't exist#1920
Conversation
Summary of ChangesHello, 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
Changelog
Activity
Using Gemini Code AssistThe full guide for Gemini Code Assist can be found on our documentation page, here are some quick tips. Invoking Gemini You can request assistance from Gemini at any point by creating a comment using either
Customization To customize Gemini Code Assist for GitHub experience, repository maintainers can create a configuration file and/or provide a custom code review style guide (such as PEP-8 for Python) by creating and adding files to a Limitations & Feedback Gemini Code Assist may make mistakes. Please leave feedback on any instances where its feedback is incorrect or counter productive. You can react with 👍 and 👎 on @gemini-code-assist comments. If you're interested in giving your feedback about your experience with Gemini Code Assist for GitHub and other Google products, sign up here. You can also get AI-powered code generation, chat, as well as code reviews directly in the IDE at no cost with the Gemini Code Assist IDE Extension. Footnotes
|
There was a problem hiding this comment.
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.
No description provided.