# CLAUDE.md

This file provides guidance to Claude Code (claude.ai/code) when working with code in this repository.

## Development Commands

### Building
```bash
# Build the application
go build -o naviwatcher

# Build with race detector
go build -race -o naviwatcher

# Cross-platform build examples
GOOS=linux GOARCH=amd64 go build -o naviwatcher-linux
GOOS=darwin GOARCH=amd64 go build -o naviwatcher-mac
GOOS=windows GOARCH=amd64 go build -o naviwatcher.exe
```

### Running
```bash
# Run the application
./naviwatcher

# Run with specific config file
./naviwatcher -config=/path/to/config.yaml

# Run in development mode (if implemented)
go run main.go
```

### Testing
```bash
# Run all tests
go test ./...

# Run tests with coverage
go test ./... -cover

# Run a specific test package
go test ./internal/scanner

# Run tests verbose
go test ./... -v
```

### Dependency Management
```bash
# Add a new dependency
go get github.com/example/package@v1.2.3

# Update dependencies
go get -u ./...

# Tidy up dependencies
go mod tidy

# Vendor dependencies (if needed)
go mod vendor
```

### Linting and Formatting
```bash
# Format code
go fmt ./...

# Vet for potential issues
go vet ./...

# Static analysis (if golangci-lint is installed)
golangci-lint run
```

### Docker
```bash
# Build Docker image
docker build -t naviwatcher .

# Run with docker compose
docker compose up

# Run in background
docker compose up -d

# View logs
docker compose logs -f
```

## Code Architecture

Based on the specification (docs/Specification.md), the application follows a modular architecture:

### Core Modules
1. **Navidrome Client** (`internal/navidrome/` or similar)
   - Handles Subsonic API communication
   - Fetches artist and album data from Navidrome instance
   - Implements authentication and error handling

2. **MusicBrainz Provider** (`internal/musicbrainz/` or similar)
   - Interfaces with MusicBrainz API
   - Implements rate limiting (1 request/second)
   - Manages caching of artist discographies (24-hour TTL)
   - Works with Release Group (RG) entities to minimize duplicates

3. **Scanner Engine** (`internal/scanner/` or similar)
   - Normalizes string comparisons for fuzzy matching
   - Implements the comparison algorithm (0.85 similarity threshold)
   - Handles removal of special characters, years, and bracketed keywords
   - Compares local albums vs. external discographies

4. **Database Layer** (`internal/database/` or similar)
   - SQLite 3 integration via github.com/mattn/go-sqlite3
   - Manages schema migrations
   - Handles tables:
     - `artist_settings`: Artist monitoring configuration
     - `external_releases`: Cached MusicBrainz data
     - `notifications_sent`: Sent notification tracking

5. **Notifier** (`internal/notifier/` or similar)
   - Telegram bot integration
   - Scheduled task execution (cron-based)
   - Batch notification sending
   - Message formatting with Web UI links

6. **Web UI** (`internal/web/` or similar)
   - Go standard library net/http + html/template
   - Embedded templates using //go:embed
   - Basic authentication protection
   - Dashboard for viewing missing albums
   - Artist detail views with ignore functionality
   - Archive view for previously ignored releases

### Key Technical Requirements
- **Concurrency**: Separate goroutines for external API calls to keep web UI responsive
- **Rate Limiting**: Strict adherence to MusicBrainz 1 request/second limit
- **Graceful Shutdown**: Proper SIGTERM handling to close database connections
- **Configuration**: YAML-based config (config.yaml) with environment-specific overrides
- **Static Assets**: HTML templates embedded via //go:embed for single-binary deployment
- **Data Modeling**: Focus on Release Group entities rather than specific releases

### Common Development Patterns
- Use context.Context for cancellation and timeouts
- Implement proper error handling with logging
- Follow Go idioms and conventions
- Write table-driven tests for complex logic
- Use dependency injection for testability
- Apply the specified fuzzy matching algorithm consistently

## Configuration Reference
See docs/Specification.md Section 7 for full config.yaml structure including:
- Server settings (host, port, basic auth)
- Navidrome connection details
- MusicBrainz API configuration
- Telegram notification settings
- Scanner parameters (fuzzy threshold, filters)

## Database Schema
See docs/Specification.md Section 5 for complete SQLite schema including:
- artist_settings table columns and defaults
- external_releases table structure
- notifications_sent table for tracking

## Getting Started
1. Copy config.yaml.example to config.yaml and fill in your values
2. Ensure Navidrome instance is running and accessible
3. Set up Telegram bot and obtain token/chat ID
4. Initialize database: ./naviwatcher (will create tables on first run)
5. Start the service: ./naviwatcher
6. Access Web UI at http://localhost:8080 (or configured host/port)