#架構
ts-fsrs v6 的排程架構圍繞 Model、Chrono、Middleware 和 Scheduler 組織,將記憶模型、時間處理與排程策略分開,並由 Scheduler 協調執行。
#職責劃分
| 組成部分 | 職責 |
|---|---|
| Model | 透過 step 更新記憶狀態,透過 nextInterval 計算基礎間隔;FSRS-6 的記憶狀態包含穩定性和難度。 |
| Chrono | 定義時間表示與時間運算。dateChrono 使用 JavaScript Date,提供時間差計算和日期加減。 |
| Middleware | 加入排程策略,並可擴充 config、card 與 revlog 的 schema,例如目標保留率、學習步驟和最大間隔。 |
| Scheduler | 組合 schema 與預設值,驗證設定和輸入,協調 newCard、review、preview 和 rollback 等操作。 |
Model 的記憶狀態(如穩定性和難度)不同於 New、Learning 等卡片狀態。卡片的學習狀態與排程策略由 Scheduler 和 Middleware 共同處理。
應用程式負責選卡、儲存回傳的 card 與 revlog,以及管理使用者和集合。排程器不會自動儲存結果。
#排程器定義與實例
defineScheduler({ model, chrono }) 建立定義。.use(...) 回傳包含新增 middleware 及其推導型別的新定義,原定義仍可重複使用。.create({ config }) 驗證使用者設定並建立獨立的排程器實例。
將包含 .use(...) 組合的定義保留為程式層級預設,在使用者或集合的設定可用時建立實例。
import { const dateChrono: Chrono<{
readonly time: SRSSchema<{
input: Date;
output: Date;
}>;
readonly config: SRSSchema<{
input: {
readonly fractionalDays?: boolean | undefined;
};
output: {
readonly fractionalDays: boolean;
};
}>;
readonly fields: {
readonly card: SRSSchema<{
input: {
dueAt: Date;
lastReviewAt?: (Date | null) | undefined;
};
output: {
dueAt: Date;
lastReviewAt: Date | null;
};
}>;
readonly revlog: SRSSchema<{
input: {
dueAt: Date;
lastReviewAt?: (Date | null) | undefined;
reviewTime: Date;
};
output: {
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
};
}>;
};
}>
dateChrono , function defineScheduler<const M extends AnyModel, const C extends AnyChrono>(definition: {
readonly model: M;
readonly chrono: C;
}): CustomScheduler<SchedulerNameOf<M>, SchedulerEnvFor<M, C, readonly []>, M, C>
defineScheduler , type Rating = 0 | 1 | 2 | 3 | 4
const Rating: Readonly<{
readonly Manual: 0;
readonly Again: 1;
readonly Hard: 2;
readonly Good: 3;
readonly Easy: 4;
}>
Rating } from 'ts-fsrs'
import {
const schedulerDesiredRetentionMiddleware: Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly desiredRetention: number | Record<Grade, number>;
};
output: {
readonly desiredRetention: Record<Grade, number>;
};
}>;
}>
schedulerDesiredRetentionMiddleware ,
const schedulerMaximumIntervalMiddleware: Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly maximumInterval?: number;
};
output: {
readonly maximumInterval: number;
};
}>;
}>
Register after learning steps so explicit steps can keep their exact delay.
schedulerMaximumIntervalMiddleware ,
} from 'ts-fsrs/middlewares'
import { const FSRS6_DEFAULT_WEIGHTS: number[] FSRS6_DEFAULT_WEIGHTS , const FSRS6Model: Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>
FSRS6Model } from 'ts-fsrs/models/fsrs-6'
// Keep the model, chronology, and policies as a reusable program preset.
const const schedulerDefinition: CustomScheduler<"fsrs-6", ExtendSchedulerEnv<SchedulerEnvFor<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>, readonly []>, readonly [...]>, Model<...>, Chrono<...>>
schedulerDefinition = defineScheduler<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>>(definition: {
...;
}): CustomScheduler<...>
defineScheduler ({
model: Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>
model : const FSRS6Model: Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>
FSRS6Model ,
chrono: Chrono<{
readonly time: SRSSchema<{
input: Date;
output: Date;
}>;
readonly config: SRSSchema<{
input: {
readonly fractionalDays?: boolean | undefined;
};
output: {
readonly fractionalDays: boolean;
};
}>;
readonly fields: {
readonly card: SRSSchema<{
input: {
dueAt: Date;
lastReviewAt?: (Date | null) | undefined;
};
output: {
dueAt: Date;
lastReviewAt: Date | null;
};
}>;
readonly revlog: SRSSchema<{
input: {
dueAt: Date;
lastReviewAt?: (Date | null) | undefined;
reviewTime: Date;
};
output: {
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
};
}>;
};
}>
chrono : const dateChrono: Chrono<{
readonly time: SRSSchema<{
input: Date;
output: Date;
}>;
readonly config: SRSSchema<{
input: {
readonly fractionalDays?: boolean | undefined;
};
output: {
readonly fractionalDays: boolean;
};
}>;
readonly fields: {
readonly card: SRSSchema<{
input: {
dueAt: Date;
lastReviewAt?: (Date | null) | undefined;
};
output: {
dueAt: Date;
lastReviewAt: Date | null;
};
}>;
readonly revlog: SRSSchema<{
input: {
dueAt: Date;
lastReviewAt?: (Date | null) | undefined;
reviewTime: Date;
};
output: {
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
};
}>;
};
}>
dateChrono ,
}).CustomScheduler<"fsrs-6", SchedulerEnvFor<Model<{ readonly name: "fsrs-6"; readonly config: SRSSchema<{ input: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; output: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; }>; readonly memoryState: SRSSchema<{ input: { stability: number; difficulty: number; }; output: { stability: number; difficulty: number; }; }>; readonly algorithm: FSRS6Algorithm; }>, Chrono<...>, readonly []>, Model<...>, Chrono<...>>.use: <readonly [Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly desiredRetention: number | Record<Grade, number>;
};
output: {
readonly desiredRetention: Record<Grade, number>;
};
}>;
}>, Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly maximumInterval?: number;
};
output: {
readonly maximumInterval: number;
};
}>;
}>]>(middlewares_0: Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly desiredRetention: number | Record<Grade, number>;
};
output: {
readonly desiredRetention: Record<Grade, number>;
};
}>;
}>, middlewares_1: Middleware<...>) => CustomScheduler<...>
Returns a new scheduler definition extended with the supplied middleware.
The current scheduler and any cores created from it remain unchanged.
use (const schedulerDesiredRetentionMiddleware: Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly desiredRetention: number | Record<Grade, number>;
};
output: {
readonly desiredRetention: Record<Grade, number>;
};
}>;
}>
schedulerDesiredRetentionMiddleware , const schedulerMaximumIntervalMiddleware: Middleware<symbol, {
readonly config: SRSSchema<{
input: {
readonly maximumInterval?: number;
};
output: {
readonly maximumInterval: number;
};
}>;
}>
Register after learning steps so explicit steps can keep their exact delay.
schedulerMaximumIntervalMiddleware )
// Supply each user's configuration when creating their scheduler.
const const scheduler: SchedulerCore<SchedulerCoreEnv<ExtendSchedulerEnv<SchedulerEnvFor<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>, readonly []>, readonly [...]>>, ModelCore<...>, ChronoCore<...>>
scheduler = const schedulerDefinition: CustomScheduler<"fsrs-6", ExtendSchedulerEnv<SchedulerEnvFor<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>, readonly []>, readonly [...]>, Model<...>, Chrono<...>>
schedulerDefinition .CustomScheduler<"fsrs-6", ExtendSchedulerEnv<SchedulerEnvFor<Model<{ readonly name: "fsrs-6"; readonly config: SRSSchema<{ input: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; output: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; }>; readonly memoryState: SRSSchema<{ input: { stability: number; difficulty: number; }; output: { stability: number; difficulty: number; }; }>; readonly algorithm: FSRS6Algorithm; }>, Chrono<...>, readonly []>, readonly [...]>, Model<...>, Chrono<...>>.create: (ctx: {
readonly config: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
} & {
readonly fractionalDays?: boolean | undefined;
} & EmptyPart & {
readonly desiredRetention: number | Record<Grade, number>;
readonly maximumInterval?: number | undefined;
};
}) => SchedulerCore<SchedulerCoreEnv<ExtendSchedulerEnv<SchedulerEnvFor<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>, readonly []>, readonly [...]>>, ModelCore<...>, ChronoCore<...>>
create ({
config: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
} & {
readonly fractionalDays?: boolean | undefined;
} & EmptyPart & {
readonly desiredRetention: number | Record<Grade, number>;
readonly maximumInterval?: number | undefined;
}
config : {
weights: const FSRS6_DEFAULT_WEIGHTS: number[] FSRS6_DEFAULT_WEIGHTS ,
enableShortTerm: true,
numRelearningSteps: 1,
desiredRetention: 0.9,
maximumInterval: 1,
},
})
const now = new Date('2026-01-01T00:00:00.000Z')
const const card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
}
card = const scheduler: SchedulerCore<SchedulerCoreEnv<ExtendSchedulerEnv<SchedulerEnvFor<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>, readonly []>, readonly [...]>>, ModelCore<...>, ChronoCore<...>>
scheduler .SchedulerCore<SchedulerCoreEnv<ExtendSchedulerEnv<SchedulerEnvFor<Model<{ readonly name: "fsrs-6"; readonly config: SRSSchema<{ input: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; output: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; }>; readonly memoryState: SRSSchema<{ input: { stability: number; difficulty: number; }; output: { stability: number; difficulty: number; }; }>; readonly algorithm: FSRS6Algorithm; }>, Chrono<...>, readonly []>, readonly [...]>>, ModelCore<...>, ChronoCore<...>>.newCard: (options?: {
readonly now?: Date | undefined;
} | undefined) => {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
}
newCard ({ now })
const const result: {
card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
};
revlog: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
state: State;
scheduleStatus: "new" | "learning" | "review";
rating: Grade;
};
}
result = const scheduler: SchedulerCore<SchedulerCoreEnv<ExtendSchedulerEnv<SchedulerEnvFor<Model<{
readonly name: "fsrs-6";
readonly config: SRSSchema<{
input: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
output: {
readonly weights: number[];
readonly enableShortTerm: boolean;
readonly numRelearningSteps: number;
};
}>;
readonly memoryState: SRSSchema<{
input: {
stability: number;
difficulty: number;
};
output: {
stability: number;
difficulty: number;
};
}>;
readonly algorithm: FSRS6Algorithm;
}>, Chrono<...>, readonly []>, readonly [...]>>, ModelCore<...>, ChronoCore<...>>
scheduler .SchedulerCore<SchedulerCoreEnv<ExtendSchedulerEnv<SchedulerEnvFor<Model<{ readonly name: "fsrs-6"; readonly config: SRSSchema<{ input: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; output: { readonly weights: number[]; readonly enableShortTerm: boolean; readonly numRelearningSteps: number; }; }>; readonly memoryState: SRSSchema<{ input: { stability: number; difficulty: number; }; output: { stability: number; difficulty: number; }; }>; readonly algorithm: FSRS6Algorithm; }>, Chrono<...>, readonly []>, readonly [...]>>, ModelCore<...>, ChronoCore<...>>.review: (input: {
readonly card: Readonly<Omit<Readonly<Omit<Readonly<{
stability: number;
difficulty: number;
} & {
dueAt: Date;
lastReviewAt: Date | null;
} & SchedulerCoreFields$1<"new" | "learning" | "review">>, keyof SchedulerCoreFields$1<"new" | "learning" | "review">> & SchedulerCoreFields$1<"new" | "learning" | "review">>, keyof SchedulerCoreFields$1<"new" | "learning" | "review">> & SchedulerCoreFields$1<"new" | "learning" | "review">>;
readonly grade: Grade;
readonly now?: Date | undefined;
}) => {
...;
}
review ({ card, grade: const Rating: Readonly<{
readonly Manual: 0;
readonly Again: 1;
readonly Hard: 2;
readonly Good: 3;
readonly Easy: 4;
}>
Rating .Good, now })
console.log(
JSON.stringify(
{
originalState: const card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
}
card .state,
state: const result: {
card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
};
revlog: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
state: State;
scheduleStatus: "new" | "learning" | "review";
rating: Grade;
};
}
result .card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
}
card .state,
dueAt: const result: {
card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
};
revlog: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
state: State;
scheduleStatus: "new" | "learning" | "review";
rating: Grade;
};
}
result .card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
}
card .dueAt,
stability: const result: {
card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
};
revlog: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
state: State;
scheduleStatus: "new" | "learning" | "review";
rating: Grade;
};
}
result .card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
}
card .stability,
rating: const result: {
card: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
state: State;
scheduleStatus: "new" | "learning" | "review";
};
revlog: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
state: State;
scheduleStatus: "new" | "learning" | "review";
rating: Grade;
};
}
result .revlog: {
stability: number;
difficulty: number;
dueAt: Date;
lastReviewAt: Date | null;
reviewTime: Date;
state: State;
scheduleStatus: "new" | "learning" | "review";
rating: Grade;
}
revlog .rating,
},
null,
2
)
)
範例刻意將最大間隔設為一天。模型仍計算出 2.3065 的穩定性,最大間隔策略將到期時間調整為 1 月 2 日。原卡片保持 New,回傳的卡片為 Review。這個最小預設未加入學習步驟、統計或 fuzzing。
#一次 review 的資料流
- 將
card、grade和now傳給review。排程器驗證輸入,並透過 Chrono 計算經過時間。 - Middleware 圍繞核心操作執行。目標保留率 middleware 在計算間隔前提供保留率目標。
- 核心操作計算新的記憶狀態,並在需要時呼叫模型計算基礎間隔;Middleware 可以提供或調整最終排程間隔。
- 整條鏈返回後,排程器透過 Chrono,根據複習時間和最終間隔計算
dueAt,回傳新的 card 與 revlog。Card 包含新的記憶狀態;revlog 保留複習前的記憶狀態,以及本次評分和複習時間。
#Middleware 順序
對於 .use(A, B),當各 review handler 都呼叫 next() 時,執行順序為:
A 的 next() 前 → B 的 next() 前 → 核心操作 → B 的 next() 後 → A 的 next() 後
next() 前的程式碼準備操作,之後的程式碼讀取下游處理結果。因此註冊順序會影響哪個策略最終生效。範例中,目標保留率在核心操作前設定,最大間隔在其後限制結果。加入學習步驟時,應將最大間隔 middleware 註冊在學習步驟 middleware 之後,學習步驟 middleware 會在返回階段恢復設定的學習間隔,避免它被按天計算的間隔策略覆蓋。