GrabZilla 2.1 - Development TODO List

Last Updated: September 30, 2025
Project Status: Production-ready with enhancement features in progress

📋 Complete Task List

Priority 1: Code Management & Current Work 🔴

Task 1: Commit current changes
- Stage and commit all modified files (README.md, index.html, app.js, models, main.js, preload.js)
- Commit new metadata service (scripts/services/metadata-service.js)
- Clean commit message describing the metadata service integration

Priority 2: Testing & Validation 🟡

[ ] Task 2: Test metadata service integration
- Verify MetadataService works correctly with real YouTube/Vimeo URLs
- Test caching mechanism (duplicate URL requests)
- Test retry logic with network failures
- Test timeout handling (30-second limit)
- Verify fallback metadata extraction
[ ] Task 3: Run existing test suite
- Execute npm test to ensure all 15+ test files still pass
- Check for any regressions after recent changes
- Review test output for warnings or errors
[ ] Task 4: Write metadata service tests
- Create comprehensive unit tests for metadata-service.js
- Test caching functionality
- Test retry logic with mock failures
- Test timeout scenarios
- Test fallback metadata generation
- Test prefetch functionality
[ ] Task 5: Integration testing
- Test complete workflow: paste URLs → metadata fetch → download → conversion → completion
- Verify metadata service integrates properly with video queue
- Test with multiple simultaneous metadata requests
- Verify UI updates correctly with fetched metadata
[ ] Task 6: Performance validation
- Verify app startup is still under 2 seconds
- Test metadata caching improves performance
- Check for memory leaks with large video queues
- Profile metadata service performance
[ ] Task 7: Edge case testing
- Test with invalid URLs
- Test with network failures
- Test with slow connections
- Test with age-restricted videos
- Test with private/deleted videos
- Test with very long playlists

Priority 3: Binary Management Fixes ✅ COMPLETED

[x] Task 13: Fix binary update system
- ✅ Fixed GitHub API rate limiting issues (better headers, 10s timeout)
- ✅ Improved error handling (graceful null returns instead of exceptions)
- ✅ Version comparison working correctly (date-based and semantic)
- ✅ Comprehensive test coverage (25 new tests in binary-versions.test.js)
- ✅ Update notifications working with info dialog
[x] Task 14: Fix statusline version display
- ✅ Implemented statusline with yt-dlp and ffmpeg versions
- ✅ Added animated update badge (pulsing indicator) when updates available
- ✅ Display last update check timestamp with full datetime tooltip
- ✅ Manual update check button with loading states
- ✅ Styled statusline with design system (monospace fonts, proper colors)

Priority 4: Performance & Parallel Processing ⚡

[ ] Task 15: Research parallel download architecture
- Investigate Node.js worker threads for CPU-intensive tasks
- Research child process pooling strategies
- Determine optimal concurrency limits for video downloads
- Study best practices for parallel video processing
- Research queue management patterns
[ ] Task 16: Implement multi-threaded download queue
- Create download manager with parallel processing
- Implement worker pool based on CPU core count
- Utilize all CPU cores including Apple Silicon efficiency/performance cores
- Add queue prioritization system
- Implement proper resource cleanup
[ ] Task 17: Optimize for Apple Silicon
- Leverage M-series CPU architecture (M1/M2/M3/M4)
- Proper core allocation (performance vs efficiency cores)
- Detect Apple Silicon and optimize accordingly
- Test on different M-series chip generations
- Benchmark performance improvements
[ ] Task 18: GPU acceleration research
- Investigate hardware acceleration for ffmpeg video conversion
- Research Apple Silicon GPU capabilities (VideoToolbox)
- Research NVIDIA GPU acceleration (NVENC)
- Research AMD GPU acceleration (AMF)
- Compare performance benchmarks
[ ] Task 19: Implement GPU-accelerated conversion
- Enable hardware video encoding/decoding in ffmpeg
- Implement VideoToolbox support for macOS (Apple Silicon and Intel)
- Implement NVENC support for NVIDIA GPUs
- Implement AMD AMF support for AMD GPUs
- Add fallback to software encoding when GPU unavailable
- Add GPU detection and capability checking
[ ] Task 24: Update UI for parallel downloads
- Add concurrent download indicators
- Show progress for multiple simultaneous downloads
- Add queue management controls (pause, resume, reorder)
- Display CPU/GPU utilization metrics
- Add download speed indicators for each active download
- Update status badges for parallel operations
[ ] Task 25: Performance benchmarking
- Test parallel download performance vs sequential
- Measure CPU/GPU utilization during operations
- Optimize thread pool size based on system capabilities
- Test with various video sizes and formats
- Create performance comparison reports
- Identify and fix bottlenecks

Priority 5: New Features - YouTube Enhancements 🚀

[ ] Task 20: Add YouTube playlist parsing
- Implement playlist URL detection (already partially in url-validator.js)
- Extract all video URLs from playlists using yt-dlp
- Add batch import functionality for playlists
- Show playlist metadata (title, video count)
- Add option to select which videos from playlist to download
- Handle large playlists (1000+ videos)
[ ] Task 21: Test playlist feature
- Verify playlist parsing works with various playlist sizes
- Test with small playlists (1-10 videos)
- Test with medium playlists (10-100 videos)
- Test with large playlists (100-1000+ videos)
- Test with private playlists (should fail gracefully)
- Test with deleted/unavailable playlists
- Test playlist + individual video mixing
[ ] Task 22: Add YouTube Shorts support
- Implement Shorts URL pattern detection (youtube.com/shorts/)
- Add regex pattern to url-validator.js
- Validate Shorts URLs and add to download queue
- Handle Shorts-specific metadata
- Test with various Shorts URLs
[ ] Task 23: Test Shorts feature
- Verify Shorts downloads work correctly
- Test quality selection for Shorts
- Test format conversion for Shorts
- Test with various Shorts (different lengths, formats)
- Verify metadata extraction for Shorts

Priority 6: Cross-Platform & Build 🟢

[ ] Task 8: Cross-platform build testing
- Build and test on macOS (Intel and Apple Silicon)
- Build and test on Windows 10/11
- Build and test on Linux (Ubuntu, Fedora)
- Ensure metadata service works on all platforms
- Verify parallel downloads work cross-platform
- Test GPU acceleration on different platforms
[ ] Task 11: Production build
- Create final production builds for all platforms
- Build macOS DMG (Universal Binary for Intel + Apple Silicon)
- Build Windows NSIS installer
- Build Linux AppImage
- Verify installer packages work correctly
- Test auto-updater functionality

Priority 7: Documentation & Release 🔵

[ ] Task 9: Update CLAUDE.md
- Add metadata service documentation with usage examples
- Document parallel download architecture
- Add GPU acceleration implementation details
- Document Apple Silicon optimizations
- Add best practices for new features
- Update development workflow
[ ] Task 10: Final code review
- Review all recent changes for code quality
- Remove any console.logs in production code
- Ensure JSDoc comments are complete
- Verify error handling is comprehensive
- Check for security vulnerabilities
- Ensure code follows project style guide
[ ] Task 12: Create release notes
- Document v2.1 changes including metadata service
- Document performance improvements (parallel downloads, GPU acceleration)
- Document bug fixes (binary updates, statusline)
- Document new features (playlists, Shorts support)
- Create changelog with version comparison
- Prepare marketing materials and screenshots

🎯 Technical Implementation Notes

Parallel Downloads Architecture

// Use Node.js worker threads for CPU-intensive tasks
const { Worker } = require('worker_threads');
const os = require('os');

// Pool of download workers based on CPU core count
const workerPool = os.cpus().length;
const maxConcurrentDownloads = Math.max(2, Math.floor(workerPool * 0.75));

Apple Silicon Optimization

// Detect M-series chips and utilize performance cores
const isAppleSilicon = process.arch === 'arm64' && process.platform === 'darwin';

if (isAppleSilicon) {
  // M1/M2/M3/M4 have 4-12 performance cores + 4 efficiency cores
  // Set higher concurrency for performance cores
  const performanceCores = 8; // Adjust based on chip model
  maxConcurrentDownloads = performanceCores;
}

GPU Acceleration (ffmpeg)

# macOS VideoToolbox (Apple Silicon & Intel)
ffmpeg -hwaccel videotoolbox -i input.mp4 -c:v h264_videotoolbox output.mp4

# Windows NVENC (NVIDIA GPUs)
ffmpeg -hwaccel cuda -i input.mp4 -c:v h264_nvenc output.mp4

# AMD AMF (AMD GPUs)
ffmpeg -hwaccel amf -i input.mp4 -c:v h264_amf output.mp4

YouTube Shorts & Playlist Support

// YouTube Shorts pattern
const shortsRegex = /(?:https?:\/\/)?(?:www\.)?youtube\.com\/shorts\/([a-zA-Z0-9_-]{11})/;

// YouTube Playlist pattern (already exists in url-validator.js)
const playlistRegex = /(?:https?:\/\/)?(?:www\.)?youtube\.com\/playlist\?list=([a-zA-Z0-9_-]+)/;

// Use yt-dlp to extract playlist videos
const args = ['--flat-playlist', '--dump-json', playlistUrl];

📊 Progress Tracking

Current Status

✅ Core Features: Complete (Tasks 1-15 from original plan)
✅ Metadata Service: Implemented and integrated (Phase 1)
✅ YouTube Enhancements: Shorts & Playlists support (Phase 2)
✅ Binary Management: Fixed with statusline (Phase 3)
⏳ Parallel Processing: Implementation pending
⏳ GPU Acceleration: Research and implementation pending

Estimated Timeline

Tasks 1-7 (Current work + Testing): 4-6 hours
Tasks 13-14 (Binary fixes): 2-3 hours
Tasks 15-19 (Parallel/GPU): 8-12 hours
Tasks 20-23 (Playlists/Shorts): 4-6 hours
Tasks 24-25 (UI/Benchmarking): 3-4 hours
Tasks 8, 11 (Cross-platform/Build): 3-4 hours
Tasks 9-10, 12 (Documentation/Release): 2-3 hours

Total Estimated Time: ~25-35 hours of development work

🔄 Where the TODO List is Stored

Cursor Internal Storage:

Global State: ~/Library/Application Support/Cursor/User/globalStorage/state.vscdb (SQLite database)
Workspace State: ~/Library/Application Support/Cursor/User/workspaceStorage/[workspace-id]/state.vscdb

Project Backup:

This file: /Users/joachimpaul/_DEV_/GrabZilla21/TODO.md
Version control: Commit this file to track progress over time

📝 Notes

Priority: Focus on Tasks 1-7 first (current work and testing)
Dependencies: Some tasks depend on others (e.g., Task 16 depends on Task 15)
Flexibility: Adjust priorities based on user feedback and critical issues
Testing: Always test after implementing each feature
Documentation: Update documentation as features are completed

Remember: Mark tasks as complete by changing [ ] to [x] as you finish them!

TODO.md 12 KB Istoric Crud