⚡ Bolt: Optimize statistics calculation by combining array iterations

[alvin000009238]

💡 What: Combined .map(), Math.max(...scores), and .forEach() in updateStatistics into a single O(n) loop.
🎯 Why: Prevents a potential RangeError: Maximum call stack size exceeded with Math.max(...scores) on large arrays and reduces overhead by iterating over the subjects list only once instead of three times.
📊 Impact: Reduces array iteration from O(3n) to O(n), eliminates intermediate array creation (avoiding GC overhead), and prevents call stack errors for large datasets.
🔬 Measurement: Verify by loading the dashboard and ensuring statistics (average, highest score, total subjects) still compute correctly. Executed unit tests and frontend build to guarantee functional parity.

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PR created automatically by Jules for task 9118823339169308368 started by @alvin000009238

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[Copilot]

Pull request overview

This PR optimizes the dashboard statistics computation by replacing multiple array passes (map + Math.max(...scores) + forEach) with a single loop, avoiding spread-argument limits on large datasets.

Changes:

• Reworked updateStatistics(subjects) to compute highest score and weighted average in one pass.
• Removed intermediate scores array allocation and Math.max(...scores) usage to prevent large-array spread issues.

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[Copilot]

highest is initialized to -Infinity and only updated via score > highest. If any subject.scoreValue is NaN (possible via getNumericScore returning Number(fallbackValue) without a NaN guard), comparisons will always be false and highest can remain -Infinity (or ignore NaNs), which changes behavior vs Math.max(...scores) (would produce NaN). Consider explicitly handling non-finite scores (e.g., track a hasValidScore/hasNaN flag and set the UI to '--' or propagate NaN consistently) so highestScore never renders -Infinity.

[Copilot]

updateStatistics behavior changed but there are no unit tests covering statistics computation (avg/highest/total). Since this file already has tests for other helpers, consider adding a small DOM-based test (e.g., via JSDOM) to assert avgScore/highestScore updates for representative subject arrays, including large arrays and edge values.

[gemini-code-assist]

Code Review

This pull request refactors the updateStatistics function in frontend/dashboard.js to optimize the calculation of the highest score and weighted average. The changes combine these calculations into a single loop, which improves efficiency by avoiding multiple iterations and potential Math.max spread limitations. The review suggests using a for...of loop for improved readability and consistency, and also points out a potential edge case where NaN scores could lead to -Infinity being displayed as the highest score, recommending a specific handling for this scenario.

[gemini-code-assist]

For better readability and consistency with other parts of the codebase that use declarative iteration (e.g., forEach), consider using a for...of loop, as the index i is not used. This more clearly expresses the intent to iterate over the elements of the array.

Additionally, this change introduces a different behavior for the edge case where all scores are NaN. The previous Math.max(...scores) would result in NaN. With the new logic, highest will remain -Infinity and be rendered to the UI. This is likely not the desired outcome. You may want to handle this case after the loop by checking if highest is still -Infinity and setting it to a more user-friendly value like '--'.

    for (const subject of subjects) {
        const score = subject.scoreValue;

        if (score > highest) {
            highest = score;
        }

        const weight = getSubjectWeight(subject.SubjectName);
        totalWeightedScore += score * weight;
        totalWeight += weight;
    }