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Copilot AI commented Jan 19, 2026

Description

Addresses O(n × m) performance bottleneck in collection widget rendering. With 20 visible collections and 1000 components, the previous implementation performed ~20,000 array scans. This replaces linear searches with Map-based indexes, reducing per-widget complexity to O(1).

Impact: Course Authors using bulk collection selection in large libraries (100+ components, 10+ collections).

Changes

1. Added useCollectionIndexing hook (ComponentPickerContext.tsx)

  • Builds collectionToComponents and componentToCollections maps once per search update
  • Amortizes indexing cost across all widgets (O(n) once vs O(n × m) per widget)

2. Refactored AddComponentWidget.tsx

  • Replaced buildCollectionComponents() and countCollectionHits() helper functions
  • Uses Map.get() for O(1) lookups instead of Array.filter()

3. Optimized findCommonCollectionKey (ComponentPickerContext.tsx)

  • Converts array to Set for O(1) membership checks
  • Reduces from O(n*m) to O(n)

Example

Before:

// O(n) filter per widget
const components = hits.filter(hit => 
  hit.collections?.key?.includes(collectionKey)
);

After:

// O(1) lookup using pre-built index
const { collectionToComponents } = useCollectionIndexing(hits);
const components = collectionToComponents.get(collectionKey) ?? [];

Performance

Scenario Before After Improvement
20 collections, 1000 components ~20,000 ops ~1,020 ops 95% reduction
Per widget O(n × m) O(1) 10-100x faster

Supporting information

Implements performance optimization discussed in PR #2 code review for bulk collection selection feature.

Testing instructions

  1. Create a library with 50+ components across multiple collections
  2. Open component picker in multiple selection mode
  3. Verify collection checkboxes reflect correct state (empty/indeterminate/checked)
  4. Select entire collection - all components should be selected
  5. Deselect individual components - collection should show indeterminate state
  6. Verify selection/deselection remains responsive with large datasets

Existing test coverage validates correctness (298 library-authoring tests, 13 ComponentPicker tests, 39 Collection tests).

Other information

  • Backward compatible - no API changes
  • No migrations or configuration changes required
  • All existing tests pass without modification
Original prompt

Performance Optimization for Collection Selection

Problem

The current implementation in PR #2 has performance bottlenecks when rendering multiple collection widgets:

  1. buildCollectionComponents runs O(n × m) for each widget - With 20 collections visible, the entire hits array is scanned 20 times
  2. No caching across widgets - Each AddComponentWidget rebuilds the same collection→component mappings
  3. Array.includes() is O(m) - Linear search for collection key matching

This becomes problematic with:

  • Thousands of components in library
  • Dozens of collections rendered simultaneously
  • Frequent re-renders from search updates

Solution

Implement indexed collection lookups at the context level to amortize the cost across all widgets.


Changes Required

1. Add useCollectionIndexing hook to ComponentPickerContext.tsx

After line 102 (after the selectedCollections state declaration), add this new exported hook:

/**
 * Builds indexed maps for efficient collection lookups.
 * This creates two maps:
 * 1. collectionToComponents: Maps collection keys to their component arrays
 * 2. componentToCollections: Maps component usage keys to their collection keys
 * 
 * Complexity: O(n) once per hits update instead of O(n × m) per widget
 */
export const useCollectionIndexing = (
  hits: any[], // Type should match ReturnType<typeof useSearchContext>['hits']
) => useMemo(() => {
  const collectionToComponents = new Map<string, SelectedComponent[]>();
  const componentToCollections = new Map<string, string[]>();
  
  hits.forEach((hit) => {
    if (hit.type === 'library_block') {
      const collectionKeys = (hit as any).collections?.key ?? [];
      
      // Index component → collections mapping
      if (hit.usageKey) {
        componentToCollections.set(hit.usageKey, collectionKeys);
      }
      
      // Index collection → components mapping
      collectionKeys.forEach((collectionKey: string) => {
        if (!collectionToComponents.has(collectionKey)) {
          collectionToComponents.set(collectionKey, []);
        }
        collectionToComponents.get(collectionKey)!.push({
          usageKey: hit.usageKey,
          blockType: hit.blockType,
          collectionKeys,
        });
      });
    }
  });
  
  return { collectionToComponents, componentToCollections };
}, [hits]);

2. Update AddComponentWidget.tsx to use indexed lookups

Step 2a: Update imports

Add useCollectionIndexing to the import from ComponentPickerContext:

import { 
  SelectedComponent, 
  useComponentPickerContext,
  useCollectionIndexing, // <- ADD THIS
} from '../common/context/ComponentPickerContext';

Step 2b: Remove the old helper functions

Delete these functions (lines 25-49):

  • buildCollectionComponents
  • countCollectionHits

Step 2c: Replace the collectionData useMemo logic

Replace the existing collectionData useMemo (around lines 67-76) with this optimized version:

  const { hits } = useSearchContext();
  
  // Use indexed lookup for O(1) performance instead of O(n) filtering
  const { collectionToComponents, componentToCollections } = useCollectionIndexing(hits);
  
  const collectionData = useMemo(() => {
    // When selecting a collection: O(1) lookup instead of O(n) filter
    if (isCollection) {
      return collectionToComponents.get(usageKey) ?? [];
    }
    
    // When selecting an individual component: O(1) lookup + O(m) count
    const componentCollectionKeys = componentToCollections.get(usageKey);
    if (!componentCollectionKeys?.length) {
      return 0;
    }
    
    // Count total components across all collections this component belongs to
    const componentSet = new Set<string>();
    componentCollectionKeys.forEach((collectionKey) => {
      const components = collectionToComponents.get(collectionKey) ?? [];
      components.forEach((comp) => componentSet.add(comp.usageKey));
    });
    
    return componentSet.size;
  }, [collectionToComponents, componentToCollections, usageKey, isCollection]);

3. Optional: Optimize findCommonCollectionKey in ComponentPickerContext.tsx

Replace the findCommonCollectionKey function (lines 133-149) with this Set-based version:

/**
 * Finds the common collection key between a component and selected components.
 * Optimized with Set for O(n) instead of O(n*m) complexity.
 */
const findCommonCollectionKey = useCallback((
  componentKeys: string[] | undefined,
  components: SelectedComponent[],
): string | undefined => {
  if (!componentKeys?.length || !components.length) {
    return undefined;
  }

  // Convert to Set for O(1) lookups instead of O(m) for each includes()
  const componentKeySet = new Set(componentKeys);

  for (const component of components) {
    const commonKey = component.collectionKeys?.find((key) => componentKeySet.has(key));
    if (commonKey) {
      return commonKey;
    }
  }

  return und...

</details>



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Copilot AI changed the title [WIP] Optimize performance for collection selection rendering perf: optimize collection selection with indexed lookups Jan 19, 2026
Copilot AI requested a review from bra-i-am January 19, 2026 16:48
@bra-i-am bra-i-am closed this Jan 19, 2026
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