Primary sync: replace PersistenceActor JSON file with SwiftData + CloudKit - Add SavedCardModel (@Model class) and PersistenceController (ModelContainer with .automatic CloudKit, fallback to local). BackgroundPersistenceActor (@ModelActor) handles all DB I/O off the main thread. - One-time migration imports user_collection.json into SwiftData and renames the original file to prevent re-import. - Inject modelContainer into SwiftUI environment in IYmtgApp. Image storage: Documents/UserContent/ subfolder (blueprint requirement) - ImageManager.dir now targets iCloud Documents/UserContent/ (or local equiv). - migrateImagesToUserContent() moves existing JPGs to the new subfolder on first launch; called during the SwiftData migration. Firebase: demoted to optional manual backup (metadata only, no images) - Remove all automatic CloudEngine.save/delete/batchUpdatePrices calls from CollectionViewModel mutations. - Add backupAllToFirebase() for user-triggered metadata sync. - Add isFirebaseBackupEnabled to AppConfig (default false). - Add Cloud Backup section in Library settings with iCloud vs Firebase explanation and "Backup Metadata to Firebase Now" button. Also: full modular refactor (Data/, Features/, Services/ directories) and README updated with CloudKit setup steps and revised release checklist. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
30 lines
1.1 KiB
Swift
30 lines
1.1 KiB
Swift
import Vision
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import CoreML
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import CoreGraphics
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// MARK: - SET SYMBOL ENGINE
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class SetSymbolEngine {
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static var model: VNCoreMLModel? = {
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guard AppConfig.enableSetSymbolDetection else { return nil }
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return ModelManager.shared.getModel(name: "IYmtgSetClassifier")
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}()
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static func recognizeSet(image: CGImage, orientation: CGImagePropertyOrientation = .up) -> String? {
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guard let model = model else { return nil }
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let request = VNCoreMLRequest(model: model)
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request.imageCropAndScaleOption = .scaleFill
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// FIX: Use regionOfInterest (Normalized 0..1, Bottom-Left origin)
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// Target: x=0.85 (Right), y=0.36 (Mid-Lower), w=0.12, h=0.09
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request.regionOfInterest = CGRect(x: 0.85, y: 0.36, width: 0.12, height: 0.09)
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let handler = VNImageRequestHandler(cgImage: image, orientation: orientation, options: [:])
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do {
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try handler.perform([request])
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guard let results = request.results as? [VNClassificationObservation], let top = results.first else { return nil }
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return top.confidence > 0.6 ? top.identifier : nil
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} catch { return nil }
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}
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}
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