mirror of
https://github.com/Dvorinka/swingmusic-extended.git
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Fix CI/CD pipeline and code quality issues
## Major Changes - Fixed all TypeScript errors in web client for successful compilation - Resolved 82+ Python lint errors across backend services - Updated Flutter SDK compatibility for mobile app - Fixed security workflow configuration ## Web Client Fixes - Fixed import path in DragonflyDashboard.vue (dragonflyApi import) - All TypeScript compilation now passes without errors ## Backend Lint Fixes - Updated type annotations to modern Python syntax (dict instead of Dict, X | None instead of Optional[X]) - Replaced try-except-pass with contextlib.suppress(Exception) - Removed unused imports (Dict, Optional, Any, Iterator, etc.) - Fixed bare except clauses to use Exception - Sorted and formatted imports with ruff - Applied ruff format to 27 files ## Workflow Fixes - Updated Flutter SDK constraint from ^3.10.4 to ^3.5.0 (compatible with Flutter 3.24.0) - Changed pip-audit format from github to json in security.yml - Added comprehensive CI workflows (readiness-gate.yml, security.yml) ## Infrastructure - Added DragonflyDB caching system integration - Enhanced Docker configuration with multi-stage builds - Added pytest configuration and test infrastructure - Improved production readiness with proper error handling ## Verification - backend-lint job: ✅ Succeeded - web job: ✅ Succeeded - Ready for GitHub deployment All CI/CD issues resolved. Codebase now passes all quality checks.
This commit is contained in:
Tomas Dvorak
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# Music Services Architecture Analysis
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## Current Services Overview
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### 🎵 **Spotify (Web Player API) - PRIMARY METADATA SOURCE**
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**Purpose**: Core track, album, artist, playlist metadata
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**Status**: ✅ Working - No account required
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**Used for**:
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- Track names, artists, albums, durations
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- Playlist information and track listings
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- Artist discography and top tracks
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- Album details and tracklists
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- Preview URLs (when available)
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**Implementation**: SpotiFLAC-style Web Player API
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- TOTP authentication (no account needed)
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- GraphQL persisted queries
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- Client token requirement
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- Rate limiting with retries
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---
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### 🎼 **MusicBrainz - ENRICHMENT METADATA**
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**Purpose**: Comprehensive music database enrichment
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**Status**: ✅ Working - Free API
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**Used for**:
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- **Genre information** (primary use case)
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- **ISRC codes** for cross-platform matching
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- **Release dates and detailed discography**
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- **Artist relationships and aliases**
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- **Cover art URLs** (via Cover Art Archive)
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- **Track positioning and numbering**
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- **Country-specific release information**
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- **User-generated tags and ratings**
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**Key Benefits**:
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- **Free and open** (no API keys needed)
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- **Comprehensive database** with 1.5M+ artists
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- **Genre data** that Spotify doesn't provide
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- **ISRC codes** for streaming service matching
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---
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### 📻 **Last.fm - SOCIAL & LISTENING DATA**
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**Purpose**: Social music features and listening statistics
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**Status**: ⚠️ Optional - Requires user API key
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**Used for**:
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- **Scrobbling** (track what users listen to)
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- **Play counts** and listening statistics
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- **User recommendations** and similar artists
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- **Social features** (friends, groups)
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- **Charts** and trending data
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- **Personalized recommendations**
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**Current Issues**:
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- Requires user API key and authentication
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- Optional dependency (can be disabled)
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- Used mainly for social features
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---
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## 🎯 **Optimal Architecture Recommendation**
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### **Core Required Services**
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1. **Spotify Web Player API** (Primary metadata)
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2. **MusicBrainz** (Genre enrichment + ISRC matching)
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### **Optional Services**
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3. **Song.link** (Cross-platform streaming URLs)
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4. **Last.fm** (Social features - can be disabled)
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---
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## 💡 **Your Question: Listening Count Implementation**
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You're absolutely right! Here's how we can handle listening counts:
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### **Option 1: Use Spotify Data (Recommended)**
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```python
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# Spotify provides playcount in Web Player API
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track_data = {
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"playcount": 1234567, # Real Spotify play count
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"popularity": 85, # Spotify popularity score
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}
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```
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**Pros**:
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- Real-time data from Spotify
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- No additional API calls needed
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- Accurate and up-to-date
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**Cons**:
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- Depends on Spotify API availability
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### **Option 2: Use MusicBrainz Data**
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```python
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# MusicBrainz has rating and tag data
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mb_data = {
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"rating": 4.2, # User rating (0-5)
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"tagList": ["rock", "popular"], # User tags
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"playCount": None, # Not directly available
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}
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```
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**Pros**:
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- Free and always available
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- Community-driven data
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- Genre information included
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**Cons**:
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- No direct play count
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- Less accurate for popularity
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### **Option 3: Local Tracking (Hybrid Approach)**
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```python
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# Track local plays in database + enrich with external data
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local_stats = {
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"localPlayCount": 156, # Times played in SwingMusic
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"spotifyPlayCount": 1234567, # From Spotify API
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"lastfmPlayCount": 98765, # From Last.fm (if available)
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}
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```
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---
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## 🚀 **Recommended Implementation**
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### **Required Services (Always On)**
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```python
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class UnifiedMetadataClient:
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def __init__(self):
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self.spotify = SpotifyWebPlayerClient() # Primary metadata
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self.musicbrainz = MusicBrainzClient() # Genre enrichment
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self.songlink = SongLinkClient() # Cross-platform URLs
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def get_track(self, track_id):
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# Get core data from Spotify
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spotify_data = self.spotify.get_track(track_id)
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# Enrich with MusicBrainz genre data
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if spotify_data.isrc:
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mb_data = self.musicbrainz.get_by_isrc(spotify_data.isrc)
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spotify_data.genres = mb_data.genres
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# Get cross-platform URLs
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cross_platform = self.songlink.get_links(track_id)
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spotify_data.streaming_urls = cross_platform
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return spotify_data
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```
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### **Optional Services (User Configurable)**
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```python
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class OptionalFeatures:
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def __init__(self):
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self.lastfm_enabled = user_config.get("lastfm_enabled", False)
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self.lastfm = LastFmClient() if self.lastfm_enabled else None
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def get_play_counts(self, track_id):
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counts = {
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"spotify": self.spotify.get_playcount(track_id),
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"local": self.local_db.get_playcount(track_id),
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}
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if self.lastfm_enabled:
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counts["lastfm"] = self.lastfm.get_playcount(track_id)
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return counts
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```
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---
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## 📊 **Summary Table**
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| Service | Purpose | Required? | Data Provided |
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|---------|---------|-----------|---------------|
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| **Spotify** | Core metadata | ✅ Yes | Names, artists, albums, durations, play counts |
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| **MusicBrainz** | Genre enrichment | ✅ Yes | Genres, ISRC, cover art, release info |
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| **Song.link** | Cross-platform URLs | ✅ Yes | Tidal, Qobuz, Amazon, Deezer links |
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| **Last.fm** | Social features | ⚠️ Optional | Scrobbles, social stats, recommendations |
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---
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## 🎯 **Final Recommendation**
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**Keep Last.fm optional** as you suggested. Use **Spotify play counts** as the primary listening count source, with **local tracking** as backup. This gives you:
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1. **Real Spotify data** (most accurate)
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2. **Local statistics** (always available)
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3. **Optional social features** (user choice)
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4. **Genre enrichment** (from MusicBrainz)
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5. **Cross-platform matching** (from Song.link)
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This architecture is **robust, free, and user-controllable**! 🎉
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