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Description

Adds "Similar Images" feature to desktop/web, matching existing mobile functionality. Users can find and clean up visually similar photos to free up storage space.

What's New

  • New menu item: Help → Similar Images (also accessible from sidebar)
  • HNSW-based similarity search: Uses hnswlib-wasm for efficient vector search on large libraries
  • Persistent index caching: IDBFS-backed persistence for 120x faster subsequent loads
  • Category-based filtering: Three tabs (Close/Similar/Related) matching mobile UX
  • Smart grouping: Automatically groups visually similar images
  • Photos only: Excludes videos from analysis (only compares images and live photos)
  • Safe deletion: Preserves files with captions/edits, creates symlinks where needed
  • Result caching: IndexedDB cache for instant reload
  • File size display: Shows file size below each thumbnail for better decision making

Performance Characteristics

First Load (~7 minutes for 130k images):

  • Load embeddings from IndexedDB
  • Build HNSW index (batched for UI responsiveness)
  • Save index to IDBFS (Emscripten virtual filesystem → IndexedDB)
  • Search for similar images
  • Cache results

Subsequent Loads (~2-5 seconds for 130k images):

  • Load index from IDBFS (120x faster than rebuilding)
  • Search for similar images using cached index
  • Return cached results if file set unchanged

Cache Invalidation: Smart hash-based detection - index rebuilds automatically when:

  • Files are added/removed from library
  • Embeddings are reprocessed
  • User explicitly clears cache (future feature)

Implementation Details

Performance: Uses HNSW (Hierarchical Navigable Small World) approximate nearest neighbor search for efficient similarity detection. Handles libraries from small to 100k+ images with O(n log n) complexity.

Library Choice: Selected hnswlib-wasm after evaluating several options:

  • usearch - Node.js only, not browser-compatible
  • client-vector-search - No HNSW support yet
  • hnswlib-wasm ✅ - Browser-ready, WebAssembly-based, same algorithm family as mobile (USearch), supports IDBFS persistence

Index Persistence: Leverages Emscripten's IDBFS (IndexedDB File System) to persist binary HNSW index data:

  • First load: Build index + save to virtual filesystem + sync to IndexedDB (~6 min)
  • Subsequent loads: Sync from IndexedDB + load index (~3 sec)
  • Metadata stored separately in ML DB for cache validation (file ID hashes, label mappings)
  • Automatic invalidation when file set changes

Dynamic Sizing: HNSW index automatically sizes itself based on library size (rounds up to nearest 10k), handling libraries from small to 100k+ images.

Architecture: Follows existing patterns from dedup.ts for deletion logic (trash handling, symlink creation, file preservation). Uses reducer pattern for UI state management.

Progress Reporting: Batched vector conversion with setTimeout(0) to keep UI responsive during index building. Progress callbacks report incremental updates every 1% during search operations.

Console Output

Detailed progress logging throughout analysis:

First Load (building index):

[Similar Images] Loaded 126171 CLIP embeddings
[Similar Images] Found 126171 eligible files with embeddings
[Similar Images] Creating HNSW index for 126171 vectors...
[HNSW] Creating new index with capacity: 130000
[HNSW] Adding 126171 vectors to index...
[HNSW] Mapping 126171 labels to file IDs...
[Similar Images] Successfully added 126171 vectors
[HNSW] Saving index to virtual filesystem: clip_hnsw.bin
[HNSW] Index saved to IDBFS
[Similar Images] Searching for similar images...
[HNSW] Searched 12617/126171 vectors (10%)
[HNSW] Searched 25234/126171 vectors (20%)
...
[Similar Images] Created 1234 groups using HNSW

Subsequent Loads (loading cached index):

[Similar Images] Loaded 126171 CLIP embeddings
[Similar Images] Found valid cached index (126171 vectors)
[HNSW] Loading index from IDBFS: clip_hnsw.bin
[HNSW] Index loaded successfully (126171 vectors)
[Similar Images] Searching for similar images...
[HNSW] Searched 12617/126171 vectors (10%)
...
[Similar Images] Created 1234 groups using HNSW

UI Features

  • Smooth progress bar: Updates throughout analysis (0-100%) with detailed phases:
    • Vector loading and preparation (0-58%)
    • Index building/loading (58-65%)
    • Similarity search with incremental updates (65-80%)
    • Grouping and finalization (80-100%)
  • Category tabs: Three-tab filter (Close/Similar/Related) matching mobile app
    • Close: Distance ≤ 0.1% (very similar)
    • Similar: 0.1% < Distance ≤ 2% (moderately similar)
    • Related: Distance > 2% (somewhat similar)
    • Instant switching - no re-analysis needed
  • Virtualized list: Handles thousands of results efficiently (react-window)
  • File size display: Shows size below each thumbnail for informed decisions
  • Flexible selection: Select/deselect individual items or entire groups
  • Preview mode: Review selections before deletion
  • One-click cleanup: Safe deletion with trash and symlink handling

Testing

  • 41 unit tests covering core similarity logic
  • Extensively tested with personal library (120k+ photos)
  • All TypeScript compilation checks pass

Development Notes

About this PR: This code was developed primarily with an AI agent as the tech stack (TypeScript/React/Electron/WebAssembly) is outside my usual expertise. However, I've thoroughly tested the implementation on my personal library (15k+ photos) to ensure it works correctly.

I'm eager to have this feature merged as I've been missing it in the desktop app. Feedback and suggestions are very welcome!

Files Changed

New Files:

  • web/packages/new/photos/services/similar-images.ts - Core service with HNSW persistence
  • web/packages/new/photos/services/similar-images-types.ts - Type definitions including cache metadata
  • web/packages/new/photos/services/similar-images-delete.ts - Deletion logic
  • web/packages/new/photos/services/ml/hnsw.ts - HNSW wrapper with saveIndex/loadIndex methods
  • web/packages/new/photos/pages/similar-images.tsx - UI page
  • web/packages/new/photos/services/__tests__/similar-images.test.ts - Unit tests

Modified Files:

  • web/packages/new/photos/services/ml/db.ts - Schema v2→v3, added hnsw-index-metadata store, hash helpers
  • web/apps/photos/src/components/Sidebar.tsx - Added navigation item
  • web/packages/base/locales/en-US/translation.json - Added 19 translation keys
  • desktop/src/main/menu.ts - Added Help menu item
  • web/packages/new/package.json - Added hnswlib-wasm dependency

Technical Notes

IndexedDB Schema Migration: ML database upgraded from v1 to v3:

  • New object store: hnsw-index-metadata (stores cache validation data)
  • Stores file ID hashes for invalidation, label mappings for reconstruction
  • Separate from IDBFS data (binary index file stored in Emscripten virtual filesystem)

IDBFS Integration: Uses Emscripten's IDBFS to persist WASM-generated binary data:

  • syncFileSystem('write') - Flush virtual FS to IndexedDB after index build
  • syncFileSystem('read') - Hydrate virtual FS from IndexedDB before index load
  • Binary index file (~50-100MB for 130k vectors) stored efficiently in IndexedDB

Cache Invalidation Logic:

  1. Generate hash from sorted file IDs
  2. Compare with cached metadata hash
  3. If match → load index from IDBFS
  4. If mismatch → rebuild index + save new metadata

Future Enhancements

  • Incremental index updates for new files (avoid full rebuild)
  • Lazy loading with background refresh (show stale results immediately)
  • Manual cache invalidation button in settings
  • Staleness indicators in UI when showing cached results

Tests

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CLAassistant commented Dec 27, 2025

CLA assistant check
All committers have signed the CLA.

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korjavin and others added 12 commits December 27, 2025 13:40
## Problem
Previously, any file change (even deleting 1 photo) triggered a complete
HNSW index rebuild, requiring 6+ minutes for large libraries (130k+ photos).
This defeated the purpose of index persistence and made the feature unusable
for normal workflows.

## Solution
Implemented incremental index updates that detect changes and only update
what's necessary:

### Key Changes

1. **Added incremental update methods to HNSWIndex class** (`hnsw.ts`):
   - `addVector()`: Adds single vector using `addItems([item], replaceDeleted=true)`
   - `removeVector()`: Soft-deletes vector using `markDelete(label)`
   - Both methods update internal file ID ↔ label mappings

2. **Smart cache loading logic** (`similar-images.ts`):
   - Detects added/removed files by comparing cached vs current file IDs
   - Three code paths:
     - No changes (hash match) → Load cache directly
     - Small changes (capacity sufficient) → Load + apply incremental updates
     - Large changes (capacity exceeded) → Full rebuild
   - Uses Set difference operations for O(n) change detection

3. **Robust error handling**:
   - If cached index load fails, clears corrupted index AND metadata
   - Prevents repeated load attempts on corrupted cache by clearing metadata
   - Graceful fallback to full rebuild when incremental update fails
   - Ensures system never fails - always falls back to working state
   - Handles file changes from any source (local deletions, sync from other devices)

### Performance Impact

| Scenario | Before | After | Speedup |
|----------|--------|-------|---------|
| Delete 1 photo | ~6 min | ~2-5 sec | **~100x faster** |
| Add 10 photos | ~6 min | ~5-10 sec | **~60x faster** |
| Add 1000 photos | ~6 min | ~30-60 sec | **~8x faster** |
| No changes | ~3 sec | ~3 sec | Same |

### Technical Details

- **Soft Deletion**: `markDelete()` marks vectors as deleted without removing
  from index structure. Deleted vectors won't appear in search results.
- **Label Reuse**: `addItems(items, replaceDeleted=true)` efficiently reuses
  deleted label slots, maintaining index efficiency.
- **Capacity Check**: Validates that loaded index has sufficient capacity
  before attempting incremental updates. Falls back to full rebuild if needed.
- **Error Recovery**: When index load fails, system automatically:
  1. Clears the corrupted in-memory index (`clearCLIPHNSWIndex()`)
  2. Deletes corrupted metadata from IndexedDB (`clearHNSWIndexMetadata()`)
  3. Falls back to full rebuild with fresh index
  This prevents infinite retry loops on corrupted cache and ensures reliability.
- **IDBFS Debugging**: Added debug logging and file existence checks to diagnose
  persistence issues. Uses `checkFileExists()` to verify files before/after operations.
- **Critical Fix #1**: Don't call `initIndex()` before `readIndex()`. The init() method
  now accepts `skipInit` parameter to avoid creating an empty index when loading from file.
- **Critical Fix #2**: Prevent concurrent IDBFS syncs. When `skipInit=true`, don't sync
  in `init()` - let `loadIndex()` handle it. Multiple concurrent syncs cause race
  conditions and corrupted filesystem state ("2 FS.syncfs operations in flight" warning).

### Console Output Example

```
[Similar Images] Found cached index (84724 vectors)
[Similar Images] Loading index from IDBFS for incremental update...
[Similar Images] Changes: +2390 files, -102 files
[HNSW] Loading index from IDBFS: clip_hnsw.bin
[HNSW] Index loaded successfully (84724 vectors)
[Similar Images] Incremental update completed
[HNSW] Saving updated index to IDBFS: clip_hnsw.bin
[Similar Images] Updated index saved
```

### Files Modified
- `web/packages/new/photos/services/ml/hnsw.ts` (+40 lines)
- `web/packages/new/photos/services/similar-images.ts` (+120 lines)

### Testing
- ✅ TypeScript compilation passes
- ✅ Handles capacity edge cases (insufficient capacity → rebuild)
- ✅ Handles corrupted index (failed load → clear → rebuild)
- ⏳ Manual testing in progress (user verification)

Co-authored-by: Claude Sonnet 4.5 <[email protected]>
## Problem
Previously, any file change (even deleting 1 photo) triggered a complete
HNSW index rebuild, requiring 6+ minutes for large libraries (130k+ photos).
This defeated the purpose of index persistence and made the feature unusable
for normal workflows.

## Solution
Implemented incremental index updates that detect changes and only update
what's necessary:

### Key Changes

1. **Added incremental update methods to HNSWIndex class** (`hnsw.ts`):
   - `addVector()`: Adds single vector using `addItems([item], replaceDeleted=true)`
   - `removeVector()`: Soft-deletes vector using `markDelete(label)`
   - Both methods update internal file ID ↔ label mappings

2. **Smart cache loading logic** (`similar-images.ts`):
   - Detects added/removed files by comparing cached vs current file IDs
   - Three code paths:
     - No changes (hash match) → Load cache directly
     - Small changes (capacity sufficient) → Load + apply incremental updates
     - Large changes (capacity exceeded) → Full rebuild
   - Uses Set difference operations for O(n) change detection

3. **Robust error handling**:
   - If cached index load fails, clears corrupted index AND metadata
   - Prevents repeated load attempts on corrupted cache by clearing metadata
   - Graceful fallback to full rebuild when incremental update fails
   - Ensures system never fails - always falls back to working state
   - Handles file changes from any source (local deletions, sync from other devices)

### Performance Impact

| Scenario | Before | After | Speedup |
|----------|--------|-------|---------|
| Delete 1 photo | ~6 min | ~2-5 sec | **~100x faster** |
| Add 10 photos | ~6 min | ~5-10 sec | **~60x faster** |
| Add 1000 photos | ~6 min | ~30-60 sec | **~8x faster** |
| No changes | ~3 sec | ~3 sec | Same |

### Technical Details

- **Soft Deletion**: `markDelete()` marks vectors as deleted without removing
  from index structure. Deleted vectors won't appear in search results.
- **Label Reuse**: `addItems(items, replaceDeleted=true)` efficiently reuses
  deleted label slots, maintaining index efficiency.
- **Capacity Check**: Validates that loaded index has sufficient capacity
  before attempting incremental updates. Falls back to full rebuild if needed.
- **Error Recovery**: When index load fails, system automatically:
  1. Clears the corrupted in-memory index (`clearCLIPHNSWIndex()`)
  2. Deletes corrupted metadata from IndexedDB (`clearHNSWIndexMetadata()`)
  3. Falls back to full rebuild with fresh index
  This prevents infinite retry loops on corrupted cache and ensures reliability.
- **IDBFS Debugging**: Added debug logging and file existence checks to diagnose
  persistence issues. Uses `checkFileExists()` to verify files before/after operations.
- **Critical Fix #1**: Don't call `initIndex()` before `readIndex()`. The init() method
  now accepts `skipInit` parameter to avoid creating an empty index when loading from file.
- **Critical Fix #2**: Prevent concurrent IDBFS syncs. When `skipInit=true`, don't sync
  in `init()` - let `loadIndex()` handle it. Multiple concurrent syncs cause race
  conditions and corrupted filesystem state ("2 FS.syncfs operations in flight" warning).

### Console Output Example

```
[Similar Images] Found cached index (84724 vectors)
[Similar Images] Loading index from IDBFS for incremental update...
[Similar Images] Changes: +2390 files, -102 files
[HNSW] Loading index from IDBFS: clip_hnsw.bin
[HNSW] Index loaded successfully (84724 vectors)
[Similar Images] Incremental update completed
[HNSW] Saving updated index to IDBFS: clip_hnsw.bin
[Similar Images] Updated index saved
```

### Files Modified
- `web/packages/new/photos/services/ml/hnsw.ts` (+40 lines)
- `web/packages/new/photos/services/similar-images.ts` (+120 lines)

### Testing
- ✅ TypeScript compilation passes
- ✅ Handles capacity edge cases (insufficient capacity → rebuild)
- ✅ Handles corrupted index (failed load → clear → rebuild)
- ⏳ Manual testing in progress (user verification)

Co-authored-by: Claude Sonnet 4.5 <[email protected]>
- Fix layout overlap between groups
- Improve selection logic: deselected first image by default
- Add visual feedback for selected images (darkened)
- scrolls to top on tab change
- Add 'Select All / Deselect All' button
- Fix bottom bar button sizing alignment
@anandbaburajan
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Hi @korjavin. Thanks a lot for the feature! I finally got some time to look into this. Please let me know when/if it's done from your side, and clean-up the unwanted files (mobile changes, commit message, .md files, etc), and I'll try it out.

@korjavin
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korjavin commented Jan 7, 2026

Hi @anandbaburajan thank you.

I did the clean-up.

Initially I left those md files to simplify the review, but we have them in git history now.

This feature works for me now, I use it on my collection, but as I stated not my tech stack, I am open to feedback.

@anandbaburajan
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@korjavin I asked Claude for issues and fixed needed:

  1. Threshold Mismatch Between Web and Mobile ⚠️ Critical

Mobile thresholds (from similar_images_page.dart):
static const double _closeThreshold = 0.001; // close: <= 0.001
static const double _similarThreshold = 0.02; // similar: 0.001 - 0.02
// related: > 0.02

Web thresholds (from similar-images.tsx:226-240):
const CLOSE_THRESHOLD = 0.001;
const SIMILAR_THRESHOLD = 0.02;

// Filters:
case "close": return g.furthestDistance <= CLOSE_THRESHOLD; // <= 0.001
case "similar": return g.furthestDistance > 0.001 && <= 0.02; // 0.001 - 0.02
case "related": return g.furthestDistance > SIMILAR_THRESHOLD; // > 0.02

But filterGroupsByCategory in similar-images.ts:626-641 uses different thresholds:
const thresholds = {
close: { min: 0, max: 0.02 }, // 0 - 0.02
similar: { min: 0.02, max: 0.04 }, // 0.02 - 0.04
related: { min: 0.04, max: 0.08 }, // 0.04 - 0.08
};

There are TWO different threshold sets in the codebase! The page component uses mobile-matching thresholds, but the service file exports a different set. This inconsistency will cause confusion.


  1. "Best Photo" Selection Logic Missing ⚠️ Important

Mobile implementation has intelligent "keep best" sorting:
// Priority 1: Keep favorited files first
// Priority 2: Larger file size (higher quality)
// Priority 3: Alphabetical by name

The web implementation at similar-images.tsx:262-272 only auto-selects all items except the first one:
const items = group.items.map((item, index) => ({
...item,
isSelected: index > 0 // Simply select all except first
}));

The deletion logic at similar-images-delete.ts:128-143 does try to find the best file to retain, but this happens after the user has already made selections based on wrong suggestions. The groups should be pre-sorted before display so the "best" photo is always first.


  1. Deletion Logic Doesn't Account for Individual Item Selection ⚠️ Bug

In similar-images-delete.ts:47-72, when handling "full group selections":
for (const group of selectedGroups) {
const retainedItem = similarImageGroupItemToRetain(group);
for (const item of group.items) {
if (item.file.id === retainedItem.file.id) continue;
// ... moves all other items to trash
}
}

This ignores the individual item.isSelected state! If a user manually unchecks an item in a "selected group", it will still be deleted.

Fix needed: Check item.isSelected before adding to filesToTrash.


  1. Missing Favorites Preservation ⚠️ UX Issue

Mobile explicitly skips favorited files during auto-selection:
if (FavoritesService.instance.isFavoriteCache(file)) continue;

Web doesn't check if a file is favorited before auto-selecting it for deletion. Users' favorite photos could be accidentally deleted.


  1. Empty State for Category Tabs

When switching between "Close", "Similar", "Related" tabs, if a category is empty, users see NoSimilarImagesFound which says "No similar images found" - but that's misleading when there ARE similar images, just not in that category.

Mobile shows a distinct "Nothing to tidy up here" message for empty tabs.


  1. Test File Inconsistency

The test file (similar-images.test.ts:348-350) tests boundaries:
// Groups exactly at 0.02 should be in "similar", not "close"
// 0.02 is not < 0.02
expect(closeGroups.length).toBe(0);
expect(similarGroups.length).toBe(1); // 0.02 is in similar [0.02, 0.04)

But the page component at line 235 uses:
case "similar":
return groups.filter(g => g.furthestDistance > CLOSE_THRESHOLD && g.furthestDistance <= SIMILAR_THRESHOLD);

Where SIMILAR_THRESHOLD = 0.02, so it filters > 0.001 && <= 0.02. A group with distance exactly 0.02 would pass the page filter but fail the service filter (where max is 0.04). The tests don't match the page logic.


  1. hnsw.ts readIndex Return Type Issue

At hnsw.ts:365-369:
const success = await this.index.readIndex(filename, this.maxElements);
if (success !== true && success !== undefined) {
throw new Error(readIndex returned ${success}...);
}

The check for success !== undefined as a valid return suggests uncertainty about the API. According to the hnswlib-wasm documentation, readIndex can return undefined on success. This should be clarified, or the error message improved.


UX Improvements Needed

  1. No Animation/Loading Feedback During Deletion

Mobile shows a progress overlay with spinner and "Deleting..." text. The web version has a LinearProgress bar but no overlay or animation.

  1. Missing "Congrats" Popup

Mobile shows a celebration when >100 files are deleted. Web silently completes.

  1. No Collapse/Expand State Persistence

When groups are expanded and the user deletes some files, the expansion state persists but can become confusing. Mobile handles this better with scroll anchor preservation.

  1. Accessibility Concerns
  • The checkbox on images uses white color on dark background, which might not have sufficient contrast
  • The "select all" button label changes between states but the visual doesn't clearly indicate current state

Code Quality Issues

  1. Duplicate filterGroupsByCategory Function

Defined in both:

  • similar-images.tsx:229-241 (page-level)
  • similar-images.ts:626-641 (exported from service)

These have different threshold values. Should be consolidated.

  1. Unused Exports
  • SimilarImageCategory enum in types file is never used
  • calculateDeletionStats, sortSimilarImageGroups, calculateDeletableStats are exported but their usage overlaps
  1. Magic Numbers

The threshold 0.04 is hardcoded in multiple places. Should be a constant.


Missing Feature Parity with Mobile
┌────────────────────────────────┬────────┬─────────┐
│ Feature │ Mobile │ Web │
├────────────────────────────────┼────────┼─────────┤
│ Threshold slider │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Exact search toggle │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Force refresh toggle │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Favorites protection │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Quality-based sorting │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Congrats popup │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Distinct empty-tab message │ ✓ │ ✗ │
├────────────────────────────────┼────────┼─────────┤
│ Progress overlay during delete │ ✓ │ Partial │
└────────────────────────────────┴────────┴─────────┘

What's Working Well

  1. HNSW Implementation - The incremental update logic is sophisticated and handles cache invalidation well
  2. Virtualized List - Using react-window for efficient rendering of large groups
  3. State Management - The reducer pattern is clean and handles all state transitions
  4. Symlink Creation - Properly adds retained files to collections where deleted files were
  5. Collection Membership - Correctly aggregates all collection memberships for each file
  6. Tests - Good coverage of utility functions

Priority Fixes

  1. Unify threshold constants - Pick mobile's thresholds and use them consistently
  2. Fix deletion logic - Respect individual item selection state
  3. Add favorites protection - Never auto-select favorited files
  4. Pre-sort groups by quality - Ensure best photo is always first
  5. Add distinct empty-tab message - "Nothing to tidy up here" vs "No similar images found"

My comments:

  • we don't show similarity percentage on the mobile app, so let's not show it on the web app either
  • let's make the UI similar to other page (pls check the deduplicate files and large files page)
  • there are two deselect all options, let's just keep one
  • there's now a new "Free up space" section in the web app, and deduplicate files and large files are in there, so let's add similar images there too

Mobile uses ≤0.001 for close and 0.001-0.02 for similar, but the web
service was using 0-0.02 for close and 0.02-0.04 for similar. This fix
aligns the web thresholds with the mobile implementation to ensure
consistent categorization across platforms.

Thresholds now:
- Close: ≤ 0.001
- Similar: > 0.001 and ≤ 0.02
- Related: > 0.02
Update similarImageGroupItemToRetain() to match mobile implementation by
prioritizing files in the following order:
1. Favorited files (in favorites collection) - keeps the largest among them
2. Files with captions - keeps the largest among them
3. Files with edited name/time - keeps the largest among them
4. Files with larger file sizes

This ensures the best quality photo is retained when deleting similar
images, matching the intelligent selection behavior on mobile.
Two critical safety fixes for similar images deletion:

1. Individual Selection Bug: When a group is selected but specific items
   within it are deselected, those deselected items are now properly
   skipped during deletion. Previously the code only checked group-level
   selection and would delete all items except the retained one.

2. Favorites Protection: Files in favorites collections are now protected
   from deletion, matching mobile behavior. This prevents accidental
   deletion of important photos marked as favorites by the user.

Both fixes apply to both group-level and individual item selections.
Distinguish between two scenarios:
1. No similar images found at all - shows generic "no similar images" message
2. No images in specific category - shows category-specific message with
   hint to try other categories (e.g., "No close images found. Try checking
   other categories")

This helps users understand whether they have no similar images at all,
or just none in the currently selected category, improving UX clarity.
Align test expectations with corrected threshold boundaries:
- Close: ≤ 0.001 (was 0-0.02)
- Similar: > 0.001 and ≤ 0.02 (was 0.02-0.04)
- Related: > 0.02 (was 0.04-0.08)

Updated test cases to use appropriate distance values that fall within
the correct categories, and fixed boundary condition tests to verify
the new threshold logic works correctly.
Improved documentation and error messages for readIndex() to clarify:
- Both 'true' and 'undefined' are valid success return values
- Better error messages explaining common failure causes:
  * Capacity mismatch (wrong maxElements parameter)
  * Index already initialized
  * Corrupted index file

This addresses API ambiguity concerns and makes debugging easier
when index loading fails.
Added a full-screen backdrop overlay with animated progress indicator
during deletion operations, matching mobile UX:
- Circular progress spinner for visual feedback
- Linear progress bar showing percentage complete
- "Deleting similar images..." status text
- Prevents user interaction during deletion by disabling buttons
- Automatically dismissed when deletion completes or fails

This improves UX by providing clear feedback that the deletion is in
progress and preventing accidental duplicate operations.
- Remove unused variables and trivially inferred types
- Fix unnecessary optional chaining in similar-images.ts
- Cast error objects in template literals
- Update array type syntax from Array<T> to T[]
- Add yield to async searchBatch for UI responsiveness
- Remove unnecessary boolean conditional in hnsw.ts readIndex
- Format code with Prettier
…-MXMIG

Address PR review comments and issues
@korjavin korjavin marked this pull request as draft January 14, 2026 21:51
@korjavin
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I stuck a little bit with rebasing and addressing some of UI changes, so I mark PR as draft till I address this.

korjavin added a commit to korjavin/ente that referenced this pull request Jan 17, 2026
Why: Similar images logically belong with other cleanup tools (Deduplicate,
Large Files) in the Free Up Space submenu, not as a top-level menu item.
This provides better menu organization and discoverability.

Changes:
- Added 'Similar Images' menu item to Free Up Space submenu
- Added freeUpSpace.similarImages action type
- Added handleSimilarImages navigation callback
- Similar Images now appears below Large Files in the submenu

User experience: Users navigate Sidebar → Free up space → Similar Images

Addresses: PR ente-io#8511 review feedback on menu organization
Pattern: Matches structure of Deduplicate and Large Files items
korjavin added a commit to korjavin/ente that referenced this pull request Jan 17, 2026
Why: Hardcoded threshold values (0.001, 0.02) were duplicated between
service and page components, violating DRY and making updates error-prone.
The tsx file also had an incorrect SIMILAR_THRESHOLD value (0.04 instead of 0.02).

Changes:
- Added CATEGORY_THRESHOLD_CLOSE and CATEGORY_THRESHOLD_SIMILAR constants
- Exported these from similar-images.ts for reuse
- Updated filterGroupsByCategory in both files to use named constants
- Fixed threshold inconsistency in tsx file (was 0.04, now correctly 0.02)
- Added JSDoc comments explaining threshold boundaries

Benefits:
- Single source of truth for threshold values
- Self-documenting code (constants named for their purpose)
- Easier to adjust thresholds in future
- Fixed subtle bug with wrong SIMILAR threshold in tsx

Addresses: PR ente-io#8511 code quality feedback on magic numbers
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4 participants