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Automated Review Feedback

Provide actionable comments grouped by severity:

Critical

The use of dangerouslySetInnerHTML in web/src/components/articles/ArticleContent.tsx for paragraph blocks is a significant security risk (Cross-Site Scripting - XSS) if the block.html content is not guaranteed to be sanitized and controlled. While the PR description states "data is controlled," this assumption needs to be explicitly documented in the code. Please add a comment next to the dangerouslySetInnerHTML usage stating that the block.html content is assumed to be pre-sanitized and should never come directly from untrusted user input without server-side sanitization.

Important

1. Missing Tests: This pull request introduces a substantial new feature with complex rendering logic and data handling. There are no accompanying unit or integration tests. Adding tests for data fetching/processing (web/src/lib/article-data.ts), content rendering (web/src/components/articles/ArticleContent.tsx), and interactive components (web/src/components/articles/AccessibilityControls.tsx, web/src/components/articles/GlossaryProvider.tsx) would significantly improve the robustness and maintainability of the feature.
2. Type Correctness: In web/src/app/articles/[id]/page.tsx, the PageProps interface defines params as Promise<{ id: string }>. In Next.js App Router, params is directly an object { id: string }, not a Promise. Please update the type definition to params: { id: string }.

Suggestions

1. Accessibility: ReadingProgressBar aria-valuetext: For the ReadingProgressBar in web/src/components/articles/ReadingProgressBar.tsx, consider adding an aria-valuetext attribute. This would provide a more descriptive announcement for screen reader users, such as aria-valuetext={${Math.round(progress)}% of article read}, enhancing the user experience for assistive technologies.
2. Performance: Glossary Highlighting Regex (Future consideration): In web/src/components/articles/ArticleContent.tsx, the applyGlossaryHighlighting function constructs a new regular expression and performs a split operation on every render for each paragraph. While acceptable for the current small glossary and typical paragraph lengths, if the glossary grows very large or articles become extremely long, this could become a performance bottleneck. For future scalability, consider pre-compiling the regex or exploring more optimized text processing strategies if performance issues arise.

Maintainer Note:

Once the initial automated feedback has been addressed, maintainer @SB2318 will review the pull request for final evaluation.

@Shanidhya01 Try to go with some test data and solved bot points, no need to write a unittest.

Congratulations, Your pull request has been successfully merged 🥳🎉 Thank you for your contribution to the project 🚀 Keep Contributing!! ✨