Introduction | 简体中文 |はじめに
ts-fsrs is a ES modules package based on TypeScript, used to implement the Free Spaced Repetition Scheduler (FSRS) algorithm. It helps developers apply FSRS to their flashcard applications, there by improving the user learning experience.
You need to run on Node.js (>=16.0.0) , using the "type":"module"
by default in package.json
.
npm install ts-fsrs
yarn install ts-fsrs
pnpm install ts-fsrs
import {createEmptyCard, formatDate, fsrs, generatorParameters, Rating, Grades} from 'ts-fsrs';
const params = generatorParameters({ enable_fuzz: true });
const f = fsrs(params);
const card = createEmptyCard(new Date('2022-2-1 10:00:00'));// createEmptyCard();
const now = new Date('2022-2-2 10:00:00');// new Date();
const scheduling_cards = f.repeat(card, now);
// console.log(scheduling_cards);
Grades.forEach(grade => { // [Rating.Again, Rating.Hard, Rating.Good, Rating.Easy]
const { log, card } = scheduling_cards[grade];
console.group(`${Rating[grade]}`);
console.table({
[`card_${Rating[grade]}`]: {
...card,
due: formatDate(card.due),
last_review: formatDate(card.last_review as Date),
},
});
console.table({
[`log_${Rating[grade]}`]: {
...log,
review: formatDate(log.review),
},
});
console.groupEnd();
console.log('----------------------------------------------------------------');
});
More refer:
- Docs - Github Pages
- Example.html - Github Pages
- Browser (ts-fsrs package using CDN)
- ts-fsrs-demo - Next.js+Prisma
- spaced - Next.js+Drizzle+tRPC
To begin, create an empty card instance and set the current date(default: current time from system):
import { Card, createEmptyCard } from "ts-fsrs";
let card: Card = createEmptyCard();
// createEmptyCard(new Date('2022-2-1 10:00:00'));
// createEmptyCard(new Date(Date.UTC(2023, 9, 18, 14, 32, 3, 370)));
// createEmptyCard(new Date('2023-09-18T14:32:03.370Z'));
The library allows for customization of SRS parameters. Use generatorParameters
to produce the final set of parameters for the SRS algorithm. Here's an example setting a maximum interval:
import { Card, createEmptyCard, generatorParameters, FSRSParameters } from "ts-fsrs";
let card: Card = createEmptyCard();
const params: FSRSParameters = generatorParameters({ maximum_interval: 1000 });
The core functionality lies in the fsrs
function. When invoked, it returns a collection of cards scheduled based on different potential user ratings:
import {
Card,
createEmptyCard,
generatorParameters,
FSRSParameters,
FSRS,
RecordLog,
} from "ts-fsrs";
let card: Card = createEmptyCard();
const f: FSRS = new FSRS(); // or const f: FSRS = fsrs(params);
let scheduling_cards: RecordLog = f.repeat(card, new Date());
Once you have the scheduling_cards
object, you can retrieve cards based on user ratings. For instance, to access the card scheduled for a 'Good' rating:
const good: RecordLogItem = scheduling_cards[Rating.Good];
const newCard: Card = good.card;
Get the new state of card for each rating:
scheduling_cards[Rating.Again].card
scheduling_cards[Rating.Again].log
scheduling_cards[Rating.Hard].card
scheduling_cards[Rating.Hard].log
scheduling_cards[Rating.Good].card
scheduling_cards[Rating.Good].log
scheduling_cards[Rating.Easy].card
scheduling_cards[Rating.Easy].log
Each Card
object consists of various attributes that determine its status, scheduling, and other metrics:
type Card = {
due: Date; // Date when the card is next due for review
stability: number; // A measure of how well the information is retained
difficulty: number; // Reflects the inherent difficulty of the card content
elapsed_days: number; // Days since the card was last reviewed
scheduled_days: number; // The interval at which the card is next scheduled
reps: number; // Total number of times the card has been reviewed
lapses: number; // Times the card was forgotten or remembered incorrectly
state: State; // The current state of the card (New, Learning, Review, Relearning)
last_review?: Date; // The most recent review date, if applicable
};
Each ReviewLog
object contains various attributes that determine the review record information associated with the card, used for analysis, undoing the review, and optimization (WIP).
type ReviewLog = {
rating: Rating; // Rating of the review (Again, Hard, Good, Easy)
state: State; // State of the review (New, Learning, Review, Relearning)
due: Date; // Date of the last scheduling
stability: number; // Stability of the card before the review
difficulty: number; // Difficulty of the card before the review
elapsed_days: number; // Number of days elapsed since the last review
last_elapsed_days: number; // Number of days between the last two reviews
scheduled_days: number; // Number of days until the next review
review: Date; // Date of the review
}