Voller Lern-Flow mit Web-Parität: fällige Karten via /reviews/due laden, flip + rate (4 Buttons + Haptic), Grades via Offline-Queue ans Server-FSRS schicken. - Card/Review/DueReview DTOs mit snake_case + camelCase-deckId- Sonderfall im embedded card-Subobjekt - CardType-Enum (alle 7 Typen), Rating-Enum mit deutschen Labels - Cloze-Helper 1:1-Port aus cards-domain (extractClusterIds, subIndexCount, clusterId, renderPrompt/Answer, hint) - CardsAPI.dueReviews(deckId:) + gradeReview(cardId,subIndex,rating,reviewedAt) - PendingGrade SwiftData-Model + GradeQueue (FIFO-Drain, originaler Timestamp bleibt, bei Netzfehler in Queue, Retry beim nächsten Drain) - StudySession @Observable State-Machine - CardRenderer für basic, basic-reverse, cloze; Placeholder für image-occlusion/audio-front/typing/multiple-choice (β-3/β-4) - RatingBar mit UIImpactFeedbackGenerator (medium/heavy) - StudySessionView per NavigationLink aus DeckListView - 9 neue Tests (Cloze: 8, Review-Decoding: 3), insgesamt 17 grün Server-authoritative FSRS bleibt — kein ts-fsrs-Port. Endurance-Test auf realem Gerät steht aus (siehe PLAN.md). Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
30 lines
811 B
Swift
30 lines
811 B
Swift
import ManaCore
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import SwiftData
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import SwiftUI
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@main
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struct CardsNativeApp: App {
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let container: ModelContainer
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@State private var auth: AuthClient
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init() {
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do {
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container = try ModelContainer(for: CachedDeck.self, PendingGrade.self)
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} catch {
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fatalError("Failed to init ModelContainer: \(error)")
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}
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let auth = AuthClient(config: AppConfig.manaAppConfig)
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auth.bootstrap()
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_auth = State(initialValue: auth)
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Log.app.info("Cards starting — auth status: \(String(describing: auth.status), privacy: .public)")
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}
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var body: some Scene {
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WindowGroup {
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RootView()
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.environment(auth)
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.tint(CardsTheme.primary)
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}
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.modelContainer(container)
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}
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}
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