3b861af3fb
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>
83 lines
2.6 KiB
Swift
83 lines
2.6 KiB
Swift
import Foundation
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import Testing
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@testable import CardsNative
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@Suite("Review-JSON-Decoding")
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struct ReviewDecodingTests {
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@Test("Review-Wire-Format decodet vollständig")
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func decodesReview() throws {
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let json = """
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{
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"card_id": "card_1",
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"sub_index": 0,
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"user_id": "user_1",
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"due": "2026-05-13T10:00:00.000Z",
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"stability": 2.5,
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"difficulty": 5.0,
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"elapsed_days": 1.0,
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"scheduled_days": 3.0,
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"learning_steps": 0,
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"reps": 5,
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"lapses": 1,
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"state": "review",
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"last_review": "2026-05-10T10:00:00.000Z"
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}
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""".data(using: .utf8)!
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let decoder = JSONDecoder()
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decoder.dateDecodingStrategy = .iso8601withFractional
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let review = try decoder.decode(Review.self, from: json)
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#expect(review.cardId == "card_1")
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#expect(review.subIndex == 0)
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#expect(review.state == .review)
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#expect(review.reps == 5)
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#expect(review.lastReview != nil)
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}
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@Test("DueReview embedded card decodet (camelCase deckId!)")
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func decodesDueReview() throws {
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// Achtung: Server liefert hier `deckId` camelCase im embedded card,
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// weil das aus Drizzle direkt rauskommt, nicht durch toCardDto.
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let json = """
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{
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"card_id": "c1",
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"sub_index": 0,
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"user_id": "u1",
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"due": "2026-05-13T10:00:00.000Z",
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"stability": 0,
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"difficulty": 0,
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"elapsed_days": 0,
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"scheduled_days": 0,
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"learning_steps": 0,
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"reps": 0,
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"lapses": 0,
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"state": "new",
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"last_review": null,
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"card": {
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"id": "c1",
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"deckId": "d1",
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"type": "basic",
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"fields": {"front": "Was ist 1+1?", "back": "2"}
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}
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}
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""".data(using: .utf8)!
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let decoder = JSONDecoder()
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decoder.dateDecodingStrategy = .iso8601withFractional
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let due = try decoder.decode(DueReview.self, from: json)
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#expect(due.review.cardId == "c1")
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#expect(due.card.deckId == "d1")
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#expect(due.card.type == .basic)
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#expect(due.card.fields["front"] == "Was ist 1+1?")
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}
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@Test("Rating-Enum-Werte sind exakt wie ts-fsrs erwartet")
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func ratingValues() {
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#expect(Rating.again.rawValue == "again")
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#expect(Rating.hard.rawValue == "hard")
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#expect(Rating.good.rawValue == "good")
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#expect(Rating.easy.rawValue == "easy")
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}
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}
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