Skip to content

FUNCTIONS.md

Latest commit

 

History

History
219 lines (175 loc) · 7.8 KB

FUNCTIONS.md

File metadata and controls

219 lines (175 loc) · 7.8 KB

PlaySync Advanced Functions & Tools

This document provides a comprehensive overview of all the functions and tools available in the enhanced PlaySync application.

Table of Contents

  1. Playlist Analysis Tools
  2. Export/Import Functions
  3. Playlist Management
  4. Search & Recommendations
  5. Batch Operations
  6. Advanced Utilities
  7. Audio Features Analysis

Playlist Analysis Tools

Single Playlist Analysis

  • analyze_playlist() - Get detailed statistics about a playlist
    • Total tracks count
    • Average tempo, energy, danceability, valence (Spotify)
    • Top artists and genres
    • Playlist metadata (creator, visibility, etc.)
    • Duration calculations

Multiple Playlist Analysis

  • analyze_multiple_playlists() - Analyze playlists across multiple platforms
  • compare_playlist_audio_features() - Compare audio characteristics across playlists
  • generate_playlist_report() - Create comprehensive reports in JSON/CSV format

Analysis Features

  • Cross-platform insights - Compare playlists across different music services
  • Artist frequency analysis - Identify most common artists
  • Genre analysis - Discover musical genres (Spotify)
  • Audio feature comparison - Compare tempo, energy, danceability metrics

Export/Import Functions

Export Options

  • export_playlist() - Export playlists in multiple formats:
    • JSON - Structured data with metadata
    • CSV - Tabular format for spreadsheet analysis
    • TXT - Human-readable text format

Import Options

  • import_playlist() - Import playlists from JSON files
  • export_playlist_collection() - Export multiple playlists as a collection
  • backup_playlists() - Create complete backups of all user playlists

Backup Features

  • Automatic backup directories - Organized backup storage
  • Backup summaries - Overview of backed up content
  • Individual playlist files - Separate files for each playlist
  • Timestamped backups - Version control for playlists

Playlist Management

Basic Operations

  • get_user_playlists() - List all user playlists
  • delete_playlist() - Remove playlists
  • rename_playlist() - Change playlist names
  • duplicate_playlist() - Create copies of playlists

Advanced Management

  • Playlist metadata editing - Modify descriptions and settings
  • Visibility controls - Manage public/private status
  • Collaborative playlist support - Handle shared playlists

Search & Recommendations

Search Functions

  • search_tracks() - Search for tracks across platforms
  • create_playlist_from_search() - Generate playlists from search results
  • Advanced search filters - Filter by popularity, duration, artists

Recommendation Systems

  • get_recommendations() - Get track recommendations (Spotify)
  • get_playlist_recommendations() - Get recommendations based on playlists
  • create_playlist_from_recommendations() - Generate playlists from recommendations

Smart Playlist Creation

  • create_smart_playlist() - Create playlists based on criteria:
    • Search queries
    • Popularity filters
    • Artist inclusion/exclusion
    • Duration limits
    • Cross-platform aggregation

Batch Operations

Batch Conversion

  • batch_convert_playlists() - Convert multiple playlists simultaneously
  • Multi-platform targeting - Convert to multiple platforms at once
  • Progress tracking - Monitor conversion status

Synchronization

  • sync_playlists_across_platforms() - Keep playlists in sync across platforms
  • Configurable sync rules - Define custom synchronization patterns
  • Automatic playlist creation - Create missing playlists on target platforms

Batch Backup

  • Multi-platform backup - Backup playlists from all platforms
  • Scheduled backups - Automated backup processes
  • Backup verification - Ensure backup integrity

Advanced Utilities

PlaylistUtils Class

  • _apply_track_filters() - Apply complex filtering criteria
  • _get_top_items() - Statistical analysis helpers
  • _get_top_artists() - Artist frequency analysis
  • _get_top_genres() - Genre analysis (Spotify)

Cross-Platform Features

  • Unified API - Consistent interface across platforms
  • Error handling - Robust error management
  • Platform-specific optimizations - Tailored for each service

Audio Features Analysis

Spotify Audio Features

  • Tempo analysis - BPM calculations and averages
  • Energy levels - Track energy measurements
  • Danceability scores - How danceable tracks are
  • Valence analysis - Musical positivity measurement
  • Duration tracking - Total playlist length

Audio Feature Comparison

  • Cross-playlist analysis - Compare audio characteristics
  • Statistical summaries - Average, min, max values
  • Feature correlation - Analyze relationships between features

Platform-Specific Features

Spotify

  • Full audio features - Complete audio analysis
  • Genre information - Detailed genre data
  • Popularity metrics - Track popularity scores
  • Advanced recommendations - Sophisticated recommendation engine

Apple Music

  • Library integration - Access to user library
  • Catalog search - Search Apple Music catalog
  • Playlist recommendations - Based on user preferences

YouTube Music

  • Video integration - Access to music videos
  • Duration calculations - Video length analysis
  • Trending content - Access to trending music

Usage Examples

Basic Playlist Analysis

# Analyze a Spotify playlist
stats = spotify_client.analyze_playlist(playlist_url)
print(f"Average tempo: {stats['avg_tempo']:.1f} BPM")
print(f"Top artist: {stats['top_artists'][0][0]}")

Smart Playlist Creation

# Create a smart playlist with filters
criteria = {
    "search_query": "rock music",
    "limit": 30,
    "filters": {
        "min_popularity": 70,
        "exclude_artists": ["Artist1", "Artist2"]
    }
}
result = PlaylistUtils.create_smart_playlist(clients, criteria, "Spotify", "My Rock Playlist")

Batch Operations

# Convert multiple playlists
source_playlists = [
    {"id": "playlist1", "name": "Rock Hits"},
    {"id": "playlist2", "name": "Pop Favorites"}
]
results = PlaylistUtils.batch_convert_playlists(spotify_client, source_playlists, target_clients)

Export/Import

# Export playlist in multiple formats
spotify_client.export_playlist(playlist_url, "json")  # JSON format
spotify_client.export_playlist(playlist_url, "csv")   # CSV format
spotify_client.export_playlist(playlist_url, "txt")   # Text format

# Import playlist
result = spotify_client.import_playlist("playlist.json", "Imported Playlist")

Error Handling

All functions include comprehensive error handling:

  • API rate limiting - Handle service limitations
  • Authentication errors - Manage token expiration
  • Network issues - Retry mechanisms
  • Data validation - Ensure data integrity
  • Graceful degradation - Continue operation despite partial failures

Performance Optimizations

  • Batch processing - Efficient handling of multiple operations
  • Caching mechanisms - Reduce API calls
  • Parallel processing - Concurrent operations where possible
  • Memory management - Efficient data handling for large playlists

Future Enhancements

Potential areas for future development:

  • Machine learning integration - AI-powered playlist generation
  • Real-time synchronization - Live playlist updates
  • Web interface - GUI for easier interaction
  • Mobile app - Smartphone integration
  • Social features - Share and collaborate on playlists
  • Advanced analytics - Deep music listening insights