# Agent Instructions
## Overview
Scry is a Magic: The Gathering card scanner app built with .NET MAUI. It uses perceptual hashing to match photographed cards against a database of known card images from Scryfall.
**Key components:**
- Mobile scanning app (MAUI/Android)
- Card recognition via perceptual hashing (not OCR)
- SQLite database with pre-computed hashes
- Scryfall API integration for card data
## Build Commands
Use `just` commands (defined in `.justfile`):
| Task | Command | Notes |
|------|---------|-------|
| Build project | `just build` | Builds Android debug |
| Run tests | `just test` | Runs xUnit tests |
| Generate card database | `just gen-db` | Downloads from Scryfall, computes hashes |
| Publish app | `just publish` | Creates release APK |
| Hot reload dev | `just dev` | Uses `dotnet watch` |
| Start emulator | `just emu` | Virtual camera with Serra Angel |
| Install to device | `just install` | Installs release APK |
### Database Generator Options
```bash
just gen-db # Default: 500 cards with test images
dotnet run --project tools/DbGenerator -- -c 1000 # More cards
dotnet run --project tools/DbGenerator -- --force # Rebuild from scratch
dotnet run --project tools/DbGenerator -- --no-test-cards # Skip priority test cards
```
## Project Structure
```
src/
├── Scry.App/ # MAUI mobile app (Android target)
│ ├── Views/ # XAML pages (ScanPage, CollectionPage, etc.)
│ ├── ViewModels/ # MVVM ViewModels using CommunityToolkit.Mvvm
│ ├── Services/ # App-layer services (ICardRecognitionService, ICardRepository)
│ ├── Converters/ # XAML value converters
│ ├── Models/ # App-specific models (CollectionEntry)
│ └── Resources/Raw/ # Bundled card_hashes.db
│
└── Scry.Core/ # Platform-independent core library
├── Recognition/ # CardRecognitionService, RecognitionOptions
├── Imaging/ # PerceptualHash, ImagePreprocessor, CardDetector
├── Data/ # CardDatabase (SQLite)
├── Models/ # Card, Oracle, Set, ScanResult
└── Scryfall/ # ScryfallClient for API/bulk data
test/
└── Scry.Tests/ # xUnit tests
tools/
└── DbGenerator/ # CLI tool to generate card_hashes.db
TestImages/ # Test images organized by category
├── reference_alpha/ # Alpha/Beta cards for testing
├── single_cards/ # Individual card photos
├── varying_quality/ # Different lighting/quality
├── hands/ # Cards held in hand
├── foil/ # Foil cards with glare
└── ... # More categories
```
## Architecture
### Recognition Pipeline
```
Camera Image
│
▼
┌─────────────────────┐
│ CardDetector │ ← Edge detection, find card quad
│ (optional) │
└─────────────────────┘
│
▼
┌─────────────────────┐
│ PerspectiveCorrection│ ← Warp to rectangle
└─────────────────────┘
│
▼
┌─────────────────────┐
│ ImagePreprocessor │ ← CLAHE for lighting normalization
│ (ApplyClahe) │
└─────────────────────┘
│
▼
┌─────────────────────┐
│ PerceptualHash │ ← Compute 192-bit color hash (24 bytes)
│ (ComputeColorHash) │
└─────────────────────┘
│
▼
┌─────────────────────┐
│ CardRecognitionService│ ← Hamming distance match against DB
└─────────────────────┘
```
### Data Model
Three-table schema mirroring Scryfall:
- **oracles** - Abstract game cards (one per unique card name)
- **sets** - MTG sets with metadata
- **cards** - Printings with perceptual hashes (one per unique artwork)
The `Card` model includes denormalized Oracle fields for convenience.
### Key Classes
| Class | Purpose |
|-------|---------|
| `CardRecognitionService` | Main recognition logic, caches DB, handles rotation matching |
| `PerceptualHash` | DCT-based color hash (192-bit = 8 bytes × 3 RGB channels) |
| `ImagePreprocessor` | CLAHE, resize, grayscale conversions |
| `CardDetector` | Edge detection + contour analysis to find card boundaries |
| `PerspectiveCorrection` | Warp detected quad to rectangle |
| `CardDatabase` | SQLite wrapper with batch insert, queries |
| `ScryfallClient` | Bulk data streaming, image downloads |
## Code Conventions
### General
- **Target**: .NET 10.0 (net10.0-android for app, net10.0 for Core/tools)
- **Nullable**: Enabled everywhere (`enable`)
- **Warnings as errors**: `true`
- **Central package management**: Versions in `Directory.Packages.props`
### C# Style
- Records for data models (`record Card`, `record ScanResult`)
- `required` properties for non-nullable required fields
- Extension methods for conversions (`ScryfallCard.ToCard()`)
- Static classes for pure functions (`PerceptualHash`, `ImagePreprocessor`)
- `using` declarations (not `using` blocks) for disposables
- File-scoped namespaces
- Primary constructors where appropriate
- `CancellationToken` parameter on all async methods
### MVVM (App layer)
- `CommunityToolkit.Mvvm` for source generators
- `[ObservableProperty]` attributes for bindable properties
- `[RelayCommand]` for commands
- ViewModels in `Scry.ViewModels` namespace
### Naming
- Services: `ICardRecognitionService`, `CardRecognitionService`
- Database methods: `GetCardsWithHashAsync`, `InsertCardBatchAsync`
- Hash methods: `ComputeColorHash`, `HammingDistance`
- Test methods: `RecognizeAsync_ExactMatch_ReturnsSuccess`
## Testing
Tests are in `test/Scry.Tests` using xUnit.
```bash
just test # Run all tests
dotnet test --filter "FullyQualifiedName~PerceptualHash" # Filter by name
```
### Test Categories
| Test Class | Tests |
|------------|-------|
| `PerceptualHashTests` | Hash computation, Hamming distance |
| `CardRecognitionTests` | End-to-end recognition |
| `CardDatabaseTests` | SQLite CRUD operations |
| `ImagePreprocessorTests` | CLAHE, resize |
| `RobustnessAnalysisTests` | Multiple image variations |
### Test Images
TestImages directory contains categorized reference images:
- `reference_alpha/` - Alpha/Beta cards (matching DbGenerator priority cards)
- `single_cards/` - Clean single card photos
- `varying_quality/` - Different lighting/blur conditions
## Key Algorithms
### Perceptual Hash (pHash)
Color-aware 192-bit hash:
1. Resize to 32×32
2. For each RGB channel:
- Compute 2D DCT
- Extract 8×8 low-frequency coefficients (skip DC)
- Compare each to median → 63 bits per channel
3. Concatenate R, G, B hashes → 24 bytes (192 bits)
Matching uses Hamming distance with threshold ≤25 bits and minimum confidence 85%.
### CLAHE (Contrast Limited Adaptive Histogram Equalization)
Applied in LAB color space to L channel only:
- Tile-based histogram equalization (8×8 tiles)
- Clip limit prevents over-amplification of noise
- Bilinear interpolation between tiles for smooth output
### Card Detection
Pure SkiaSharp implementation:
1. Grayscale → Gaussian blur → Canny edge detection
2. Contour tracing via flood fill
3. Douglas-Peucker simplification → Convex hull
4. Find best quadrilateral matching MTG aspect ratio (88/63 ≈ 1.397)
5. Order corners: top-left, top-right, bottom-right, bottom-left
## Debug Mode
Set `RecognitionOptions.DebugOutputDirectory` to save pipeline stages:
- `01_input.png` - Original image
- `02_detection.png` - Card detection visualization
- `03_perspective_corrected.png` - Warped card
- `05_clahe_*.png` - After CLAHE preprocessing
On Android: `/sdcard/Download/scry-debug` (pull with `adb pull`)
## Dependencies
### Core Library (Scry.Core)
- **SkiaSharp** - Image processing, DCT, edge detection
- **Microsoft.Data.Sqlite** - SQLite database
- **Microsoft.Extensions.Options** - Options pattern
### App (Scry.App)
- **CommunityToolkit.Maui** - MAUI extensions
- **CommunityToolkit.Maui.Camera** - Camera integration
- **CommunityToolkit.Mvvm** - MVVM source generators
### DbGenerator Tool
- **Spectre.Console** / **Spectre.Console.Cli** - Rich terminal UI
## Common Tasks
### Adding a New Card to Priority Test Set
1. Add image to `TestImages/reference_alpha/` or appropriate folder
2. Add entry to `GenerateCommand.PriorityCardsWithSets` dictionary
3. Run `just gen-db` to regenerate database
### Debugging Recognition Failures
1. Enable debug output in `MauiProgram.cs`:
```csharp
options.DebugOutputDirectory = "/sdcard/Download/scry-debug";
```
2. Run recognition
3. Pull debug images: `adb pull /sdcard/Download/scry-debug`
4. Compare `05_clahe_*.png` with reference images in database
### Modifying Hash Algorithm
1. Update `PerceptualHash.ComputeColorHash()`
2. Update `CardRecognitionService.ColorHashBits` constant
3. Regenerate database: `just gen-db --force`
4. Run tests: `just test`
## Gotchas
1. **Hash size is 24 bytes (192 bits)** - 3 RGB channels × 8 bytes each
2. **Confidence threshold is 85%** - Configurable in `CardRecognitionService.MinConfidence`
3. **Card detection is optional** - Controlled by `RecognitionOptions.EnableCardDetection`
4. **Rotation matching tries 4 orientations** - Controlled by `RecognitionOptions.EnableRotationMatching`
5. **Database is bundled in APK** - Copied on first run to app data directory
6. **Multi-face cards** - Only front face image is used for hashing
7. **Rate limiting** - DbGenerator uses 50ms delay between Scryfall image downloads
## CI/CD
Forgejo Actions workflow (`.forgejo/workflows/release.yml`):
- Builds for win-x64, linux-x64, osx-x64
- Creates "standard" and "embedded" (with APK) variants
- Publishes to Forgejo releases
## External Resources
- [Scryfall API](https://scryfall.com/docs/api) - Card data source
- [CARD_RECOGNITION.md](docs/CARD_RECOGNITION.md) - Detailed architecture doc