refactor: 完全重构为 Anki 兼容数据结构

- 用 Deck 替换 Folder
- 用 Note + Card 替换 Pair (双向复习)
- 添加 NoteType (卡片模板)
- 添加 Revlog (复习历史)
- 实现 SM-2 间隔重复算法
- 更新所有前端页面
- 添加数据库迁移

src/modules/card/card-service-dto.ts

@@ -0,0 +1,113 @@
+import { CardType, CardQueue } from "../../../generated/prisma/enums";
+
+export type ReviewEase = 1 | 2 | 3 | 4;
+
+export interface ServiceInputCreateCard {
+  noteId: bigint;
+  deckId: number;
+  ord?: number;
+}
+
+export interface ServiceInputAnswerCard {
+  cardId: bigint;
+  ease: ReviewEase;
+}
+
+export interface ServiceInputGetCardsForReview {
+  deckId: number;
+  limit?: number;
+}
+
+export interface ServiceInputGetNewCards {
+  deckId: number;
+  limit?: number;
+}
+
+export interface ServiceInputGetCardsByDeckId {
+  deckId: number;
+  limit?: number;
+  offset?: number;
+  queue?: CardQueue | CardQueue[];
+}
+
+export interface ServiceInputGetCardStats {
+  deckId: number;
+}
+
+export type ServiceOutputCard = {
+  id: bigint;
+  noteId: bigint;
+  deckId: number;
+  ord: number;
+  mod: number;
+  usn: number;
+  type: CardType;
+  queue: CardQueue;
+  due: number;
+  ivl: number;
+  factor: number;
+  reps: number;
+  lapses: number;
+  left: number;
+  odue: number;
+  odid: number;
+  flags: number;
+  data: string;
+  createdAt: Date;
+  updatedAt: Date;
+};
+
+export type ServiceOutputCardWithNote = ServiceOutputCard & {
+  note: {
+    id: bigint;
+    flds: string;
+    sfld: string;
+    tags: string;
+  };
+};
+
+export type ServiceOutputCardStats = {
+  total: number;
+  new: number;
+  learning: number;
+  review: number;
+  due: number;
+};
+
+export type ServiceOutputScheduledCard = {
+  cardId: bigint;
+  newType: CardType;
+  newQueue: CardQueue;
+  newDue: number;
+  newIvl: number;
+  newFactor: number;
+  newReps: number;
+  newLapses: number;
+  nextReviewDate: Date;
+};
+
+export type ServiceOutputReviewResult = {
+  success: boolean;
+  card: ServiceOutputCard;
+  scheduled: ServiceOutputScheduledCard;
+};
+
+export const SM2_CONFIG = {
+  LEARNING_STEPS: [1, 10],
+  GRADUATING_INTERVAL_GOOD: 1,
+  GRADUATING_INTERVAL_EASY: 4,
+  EASY_INTERVAL: 4,
+  MINIMUM_FACTOR: 1300,
+  DEFAULT_FACTOR: 2500,
+  FACTOR_ADJUSTMENTS: {
+    1: -200,
+    2: -150,
+    3: 0,
+    4: 150,
+  },
+  INITIAL_INTERVALS: {
+    2: 1,
+    3: 3,
+    4: 4,
+  },
+} as const;