* Implement optimized batch rule application
- Add apply_all_album_rules/1 to batch apply all album rules in single query
- Add apply_all_artist_rules/1 to batch apply all artist rules in single query
- Update apply_all_rules/0 to use new batch functions
- Add comprehensive tests for batch application
- Use CASE statement in SQL to apply multiple rules efficiently
Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com>
* Add batch application support for track-filtered rules
- Extend apply_all_album_rules/2 to support filtering by tracks
- Extend apply_all_artist_rules/2 to support filtering by tracks
- Update apply_all_rules/1 to use batch functions for track-filtered application
- Remove duplicate function definitions
- Ensures both main use cases (all tracks and specific tracks) are optimized
Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com>
* Add comprehensive documentation for optimization
- Document the problem and solution approach
- Explain SQL generation and performance impact
- Detail trade-offs and backward compatibility
- Include future considerations and scalability notes
Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com>
* Apply credo suggestions and format
---------
Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: cloud8421 <537608+cloud8421@users.noreply.github.com>
Co-authored-by: Claudio Ortolina <cloud8421@gmail.com>
This plan outlines the implementation of functionality to manage
arbitrary rules for fixing data in the `scrobbled_tracks` table. The
system will support two types of transformations:
1. **Album Rule**: Update the album MusicBrainz ID of all tracks
belonging to a specific album (identified by album title)
2. **Artist Rule**: Update the artist MusicBrainz ID of all tracks
belonging to a specific artist (identified by artist name)
- `scrobbled_tracks` table exists with the following structure:
- `scrobbled_at_uts` (integer, primary key)
- `musicbrainz_id` (string) - track MusicBrainz ID
- `title` (string) - track title
- `cover_url` (string)
- `scrobbled_at_label` (string)
- `artist` (map) - embedded artist data with `musicbrainz_id` and
`name`
- `album` (map) - embedded album data with `musicbrainz_id` and
`title`
- `last_fm_data` (map) - raw Last.fm API response
- `LastFm.Track` - Schema for scrobbled tracks
- `LastFm.Artist` - Embedded artist schema
- `LastFm.Album` - Embedded album schema
- Main navigation has Stats, Collection, Wishlist sections
- "More" dropdown contains development tools and utilities
- Uses Phoenix LiveView for interactive components
**File**:
`priv/repo/migrations/YYYYMMDDHHMMSS_create_scrobble_rules.exs`
Create `scrobble_rules` table with:
- `id` (primary key)
- `type` (string) - "album" or "artist"
- `match_value` (string) - album title or artist name to match
- `target_musicbrainz_id` (string) - MusicBrainz ID to set
- `enabled` (boolean) - whether rule is active
- `description` (text) - optional description for the rule
- `inserted_at` (timestamp)
- `updated_at` (timestamp)
Indexes:
- `type, match_value` (compound index for efficient matching)
- `enabled` (for filtering active rules)
**File**: `lib/music_library/scrobble_rules/scrobble_rule.ex`
Create Ecto schema with:
- Field definitions matching migration
- Validations:
- `type` must be "album" or "artist"
- `match_value` required and non-empty
- `target_musicbrainz_id` required and non-empty
- `enabled` defaults to true
- Changeset functions for create/update operations
**File**: `lib/music_library/scrobble_rules.ex`
Implement context functions:
- `list_scrobble_rules(opts \\ [])` - list all rules with optional
filtering
- `get_scrobble_rule!(id)` - get specific rule by ID
- `create_scrobble_rule(attrs)` - create new rule
- `update_scrobble_rule(rule, attrs)` - update existing rule
- `delete_scrobble_rule(rule)` - delete rule
- `change_scrobble_rule(rule, attrs \\ %{})` - create changeset
- `list_enabled_rules()` - get only enabled rules for worker
- `apply_album_rule(rule)` - apply album transformation
- `apply_artist_rule(rule)` - apply artist transformation
- `apply_all_rules()` - apply all enabled rules
**File**: `lib/music_library_web/components/layouts/app.html.heex`
Add new navigation link in the "More" dropdown:
- Icon: `hero-adjustments-horizontal`
- Label: "Scrobble Rules"
- Route: `/scrobble-rules`
- Position: After "Oban" link, before separator
**File**: `lib/music_library_web/router.ex`
Add new LiveView routes in the authenticated scope:
- `/scrobble-rules` - index page
- `/scrobble-rules/new` - create new rule
- `/scrobble-rules/:id/edit` - edit existing rule
**File**: `lib/music_library_web/live/scrobble_rules_live/index.ex`
Implement LiveView with:
- List view showing all rules with status indicators
- Create/Edit forms with validation
- Delete confirmation
- Filter controls (by type, enabled/disabled)
- Manual rule application triggers
- Real-time updates via PubSub
**Template**:
`lib/music_library_web/live/scrobble_rules_live/index.html.heex`
- Table layout with rule details
- Action buttons (Edit, Delete, Apply)
- Form components for create/edit
- Status indicators for enabled/disabled rules
**File**:
`lib/music_library_web/live/scrobble_rules_live/form_component.ex`
Create reusable form component:
- Type selection (album/artist)
- Match value input with validation
- Target MusicBrainz ID input
- Description textarea
- Enable/disable toggle
- Save/Cancel actions
Where possible, use the components available at
<https://docs.fluxonui.com/1.1.4/overview.html>.
**File**: `lib/music_library/scrobble_rules/worker.ex`
Implement Oban worker:
- Scheduled to run periodically (e.g., every 30 minutes)
- Fetches all enabled rules
- Applies each rule in sequence
- Logs application results
- Handles errors gracefully
- Tracks last application time
**File**: `test/music_library/scrobble_rules_test.exs`
- Test all context functions
- Test rule application logic
- Test edge cases and error handling
**File**: `test/music_library/scrobble_rules/scrobble_rule_test.exs`
- Test schema validations
- Test changeset functions
- Test constraint validations
**File**: `test/music_library_web/live/scrobble_rules_live_test.exs`
- Test LiveView interactions
- Test form submissions
- Test real-time updates
- Test navigation and routing
**File**: `test/music_library/scrobble_rules/worker_test.exs`
- Test job execution
- Test rule application
- Test error handling
- Test scheduling
- Ensure atomic operations when applying rules
- Validate MusicBrainz IDs before applying
- Log all transformations for audit trail
- Index optimization for rule matching
- Batch processing for large datasets
- Rate limiting for external API calls
- Clear feedback on rule application
- Preview mode to show what would change
- Bulk operations for managing multiple rules
- Export/import functionality for rule sets
- Input validation and sanitization
- Rate limiting on rule creation
- Audit logging for all changes
```sql
-- scrobble_rules table
CREATE TABLE scrobble_rules (
id INTEGER PRIMARY KEY AUTOINCREMENT,
type TEXT NOT NULL CHECK (type IN ('album', 'artist')),
match_value TEXT NOT NULL,
target_musicbrainz_id TEXT NOT NULL,
enabled BOOLEAN NOT NULL DEFAULT TRUE,
description TEXT,
inserted_at TIMESTAMP NOT NULL,
updated_at TIMESTAMP NOT NULL
);
CREATE INDEX idx_scrobble_rules_type_match ON scrobble_rules(type,
match_value);
CREATE INDEX idx_scrobble_rules_enabled ON scrobble_rules(enabled);
```
```
lib/music_library/
├── scrobble_rules/
│ ├── scrobble_rule.ex # Schema
│ └── worker.ex # Oban worker
└── scrobble_rules.ex # Context
lib/music_library_web/
└── live/
└── scrobble_rules_live/
├── index.ex # LiveView
├── index.html.heex # Template
└── form_component.ex # Form component
priv/repo/migrations/
└── YYYYMMDDHHMMSS_create_scrobble_rules.exs
test/
├── music_library/
│ ├── scrobble_rules_test.exs
│ └── scrobble_rules/
│ ├── scrobble_rule_test.exs
│ └── worker_test.exs
└── music_library_web/
└── live/
└── scrobble_rules_live_test.exs
```
1. Database migration and schema
2. Context module with basic CRUD operations
3. LiveView interface for rule management
4. Navigation and routing updates
5. Periodic worker implementation
6. Comprehensive testing
7. Documentation and deployment
This plan ensures a robust, maintainable solution that integrates
seamlessly with the existing Music Library application architecture.
Claudio Ortolina