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@parthsali parthsali merged commit f6c1108 into main Dec 6, 2025
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Summary of Changes

Hello @parthsali, 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 introduces a significant enhancement to the academics section by adding a global file search capability. Users can now quickly locate specific academic files through an intuitive search dialog, which supports debounced queries and a convenient keyboard shortcut. This feature aims to improve the overall navigability and accessibility of academic resources.

Highlights

  • Global File Search Implementation: Introduced a new AcademicsFileSearch component that provides a global search functionality for academic files.
  • Interactive Search Dialog: The search is accessible via a button and a keyboard shortcut (⌘K), opening a dialog for users to type their queries.
  • Debounced Search Logic: Implemented a debounced search mechanism to optimize API calls, ensuring a smooth user experience.
  • Integration with Academics View: The new search component is seamlessly integrated into the AcademicsClientView, allowing users to search and select files directly.
  • New UI Component Libraries: Incorporated @radix-ui/react-dialog and cmdk for building robust and accessible dialog and command palette-like interfaces.
  • Dedicated File Search API: Added a new searchFiles API function and related types to lib/api/file.ts to handle file search requests to the backend.
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Code Review

This pull request introduces a new file search feature, which is a great addition. It includes a new search component, API endpoint integration, and necessary UI components. The implementation is solid, but I have a few suggestions to improve robustness and maintainability, particularly regarding a race condition in the search logic, the use of magic numbers, and the placement of a helper function. Please see my detailed comments.

Comment on lines +37 to +62
useEffect(() => {
if (!searchQuery.trim()) {
setResults([]);
return;
}

setIsLoading(true);
const timer = setTimeout(async () => {
try {
const data = await searchFiles({
query: searchQuery,
page: 1,
limit: 10,
});

setResults(data.docs);
} catch (error) {
console.error("Search error:", error);
setResults([]);
} finally {
setIsLoading(false);
}
}, 300); // 300ms debounce

return () => clearTimeout(timer);
}, [searchQuery]);

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high

This useEffect hook for debounced search has a potential race condition. If a user types quickly, multiple search requests can be initiated. If an earlier, slower request resolves after a later, faster one, the UI will display stale results. To fix this, you should ignore the results of stale requests. You can achieve this by using a flag that is checked before setting state, and toggled in the effect's cleanup function.

    useEffect(() => {
        if (!searchQuery.trim()) {
            setResults([]);
            return;
        }

        let isStale = false;
        setIsLoading(true);
        const timer = setTimeout(async () => {
            try {
                const data = await searchFiles({
                    query: searchQuery,
                    page: 1,
                    limit: 10,
                });

                if (!isStale) {
                    setResults(data.docs);
                }
            } catch (error) {
                if (!isStale) {
                    console.error("Search error:", error);
                    setResults([]);
                }
            } finally {
                if (!isStale) {
                    setIsLoading(false);
                }
            }
        }, 300); // 300ms debounce

        return () => {
            clearTimeout(timer);
            isStale = true;
        };
    }, [searchQuery]);

Comment on lines +49 to +59
limit: 10,
});

setResults(data.docs);
} catch (error) {
console.error("Search error:", error);
setResults([]);
} finally {
setIsLoading(false);
}
}, 300); // 300ms debounce

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medium

The search result limit (10) on line 49 and the debounce delay (300) on line 59 are hardcoded. It's a good practice to extract these 'magic numbers' into named constants at the top of the file. This improves readability and makes them easier to modify in the future.

For example:

const SEARCH_RESULTS_LIMIT = 10;
const DEBOUNCE_DELAY_MS = 300;


setResults(data.docs);
} catch (error) {
console.error("Search error:", error);

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medium

Currently, search API errors are only logged to the console. For a better user experience, consider displaying a user-facing error message, for example, using a toast notification or showing an error message within the search dialog. This informs the user that something went wrong with their search.

Comment on lines +98 to +107
const getCategoryLabel = (category: string, unitNumber?: number) => {
if (category === "unit" && unitNumber) {
return `Unit ${unitNumber}`;
}
if (category === "endsem") return "Previous Year - End-Sem";
if (category === "insem") return "Previous Year - In-Sem";
if (category === "decode") return "Decodes";
if (category === "book") return "Books";
return category;
};

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medium

The getCategoryLabel function is redefined on every render of the AcademicsFileSearch component. Since it's a pure function that doesn't rely on any component state or props, it can be defined outside the component scope. This prevents unnecessary re-creation and is a good practice for code organization and a slight performance improvement.

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2 participants