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* Add gradient color for forgetting curve * Add desiredRetention prop for CardInfo * update CONTRIBUTORS * Formatting * Tweak range of gradient * Tweak: salmon -> tomato * Get desired retention of the card from backend * Add a reference line for desired retention * Fix: Corrected the steel blue's height & Hide desired retention line when yMin is higher than desiredRetentionY * Add y axis title * Show desired retention in the tooltip * I18n: improve translation and vertical text display * Revert rotatation&writing-mode of vertical title * Tweak font-size of y axis title * Fix: delete old desired retention line when changing duration * Update ftl/core/card-stats.ftl --------- Co-authored-by: Damien Elmes <dae@users.noreply.github.com>
314 lines
11 KiB
TypeScript
314 lines
11 KiB
TypeScript
// Copyright: Ankitects Pty Ltd and contributors
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// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
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import {
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type CardStatsResponse_StatsRevlogEntry as RevlogEntry,
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RevlogEntry_ReviewKind,
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} from "@generated/anki/stats_pb";
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import * as tr from "@generated/ftl";
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import { timeSpan } from "@tslib/time";
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import { axisBottom, axisLeft, line, max, min, pointer, scaleLinear, scaleTime, select } from "d3";
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import { type GraphBounds, setDataAvailable } from "../graphs/graph-helpers";
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import { hideTooltip, showTooltip } from "../graphs/tooltip-utils.svelte";
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const FACTOR = 19 / 81;
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const DECAY = -0.5;
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const MIN_POINTS = 1000;
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function forgettingCurve(stability: number, daysElapsed: number): number {
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return Math.pow((daysElapsed / stability) * FACTOR + 1.0, DECAY);
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}
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interface DataPoint {
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date: Date;
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daysSinceFirstLearn: number;
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elapsedDaysSinceLastReview: number;
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retrievability: number;
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stability: number;
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}
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export enum TimeRange {
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Week,
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Month,
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Year,
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AllTime,
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}
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const MAX_DAYS = {
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[TimeRange.Week]: 7,
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[TimeRange.Month]: 30,
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[TimeRange.Year]: 365,
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[TimeRange.AllTime]: Infinity,
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};
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function filterDataByTimeRange(data: DataPoint[], maxDays: number): DataPoint[] {
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return data.filter((point) => point.daysSinceFirstLearn <= maxDays);
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}
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export function filterRevlogEntryByReviewKind(entry: RevlogEntry): boolean {
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return (
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entry.reviewKind !== RevlogEntry_ReviewKind.MANUAL
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&& entry.reviewKind !== RevlogEntry_ReviewKind.RESCHEDULED
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&& (entry.reviewKind !== RevlogEntry_ReviewKind.FILTERED || entry.ease !== 0)
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);
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}
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export function filterRevlog(revlog: RevlogEntry[]): RevlogEntry[] {
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const result: RevlogEntry[] = [];
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for (const entry of revlog) {
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if (entry.reviewKind === RevlogEntry_ReviewKind.MANUAL && entry.ease === 0) {
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break;
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}
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result.push(entry);
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}
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return result.filter((entry) => filterRevlogEntryByReviewKind(entry));
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}
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export function prepareData(revlog: RevlogEntry[], maxDays: number) {
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const data: DataPoint[] = [];
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let lastReviewTime = 0;
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let lastStability = 0;
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const step = Math.min(maxDays / MIN_POINTS, 1);
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let daysSinceFirstLearn = 0;
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revlog
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.toReversed()
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.forEach((entry, index) => {
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const reviewTime = Number(entry.time);
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if (index === 0) {
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lastReviewTime = reviewTime;
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lastStability = entry.memoryState?.stability || 0;
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data.push({
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date: new Date(reviewTime * 1000),
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daysSinceFirstLearn: 0,
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elapsedDaysSinceLastReview: 0,
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retrievability: 100,
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stability: lastStability,
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});
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return;
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}
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const totalDaysElapsed = (reviewTime - lastReviewTime) / (24 * 60 * 60);
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let elapsedDays = 0;
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while (elapsedDays < totalDaysElapsed - step) {
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elapsedDays += step;
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const retrievability = forgettingCurve(lastStability, elapsedDays);
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data.push({
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date: new Date((lastReviewTime + elapsedDays * 86400) * 1000),
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daysSinceFirstLearn: data[data.length - 1].daysSinceFirstLearn + step,
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elapsedDaysSinceLastReview: elapsedDays,
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retrievability: retrievability * 100,
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stability: lastStability,
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});
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}
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daysSinceFirstLearn += totalDaysElapsed;
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data.push({
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date: new Date((lastReviewTime + totalDaysElapsed * 86400) * 1000),
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daysSinceFirstLearn: daysSinceFirstLearn,
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retrievability: 100,
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elapsedDaysSinceLastReview: 0,
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stability: lastStability,
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});
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lastReviewTime = reviewTime;
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lastStability = entry.memoryState?.stability || 0;
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});
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if (data.length === 0) {
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return [];
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}
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const now = Date.now() / 1000;
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const totalDaysSinceLastReview = (now - lastReviewTime) / (24 * 60 * 60);
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let elapsedDays = 0;
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while (elapsedDays < totalDaysSinceLastReview - step) {
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elapsedDays += step;
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const retrievability = forgettingCurve(lastStability, elapsedDays);
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data.push({
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date: new Date((lastReviewTime + elapsedDays * 86400) * 1000),
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daysSinceFirstLearn: data[data.length - 1].daysSinceFirstLearn + step,
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elapsedDaysSinceLastReview: elapsedDays,
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retrievability: retrievability * 100,
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stability: lastStability,
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});
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}
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daysSinceFirstLearn += totalDaysSinceLastReview;
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const retrievability = forgettingCurve(lastStability, totalDaysSinceLastReview);
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data.push({
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date: new Date(now * 1000),
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daysSinceFirstLearn: daysSinceFirstLearn,
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elapsedDaysSinceLastReview: totalDaysSinceLastReview,
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retrievability: retrievability * 100,
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stability: lastStability,
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});
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const filteredData = filterDataByTimeRange(data, maxDays);
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return filteredData;
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}
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export function calculateMaxDays(filteredRevlog: RevlogEntry[], timeRange: TimeRange): number {
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if (filteredRevlog.length === 0) {
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return 0;
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}
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const daysSinceFirstLearn = (Date.now() / 1000 - Number(filteredRevlog[filteredRevlog.length - 1].time))
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/ (24 * 60 * 60);
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return Math.min(daysSinceFirstLearn, MAX_DAYS[timeRange]);
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}
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export function renderForgettingCurve(
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filteredRevlog: RevlogEntry[],
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timeRange: TimeRange,
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svgElem: SVGElement,
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bounds: GraphBounds,
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desiredRetention: number,
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) {
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const svg = select(svgElem);
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const trans = svg.transition().duration(600) as any;
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if (filteredRevlog.length === 0) {
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setDataAvailable(svg, false);
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return;
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}
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const maxDays = calculateMaxDays(filteredRevlog, timeRange);
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const data = prepareData(filteredRevlog, maxDays);
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if (data.length === 0) {
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setDataAvailable(svg, false);
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return;
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} else {
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setDataAvailable(svg, true);
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}
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svg.select(".forgetting-curve-line").remove();
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svg.select(".hover-columns").remove();
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const xMin = min(data, d => d.date);
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const xMax = max(data, d => d.date);
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const x = scaleTime()
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.domain([xMin!, xMax!])
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.range([bounds.marginLeft, bounds.width - bounds.marginRight]);
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const yMin = Math.max(
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0,
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100 - 1.2 * (100 - Math.min(...data.map((d) => d.retrievability))),
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);
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const y = scaleLinear()
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.domain([yMin, 100])
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.range([bounds.height - bounds.marginBottom, bounds.marginTop]);
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svg.select<SVGGElement>(".x-ticks")
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.call((selection) => selection.transition(trans).call(axisBottom(x).ticks(5).tickSizeOuter(0)))
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.attr("direction", "ltr");
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svg.select<SVGGElement>(".y-ticks")
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.attr("transform", `translate(${bounds.marginLeft},0)`)
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.call((selection) => selection.transition(trans).call(axisLeft(y).tickSizeOuter(0)))
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.attr("direction", "ltr");
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svg.select(".y-ticks .y-axis-title").remove();
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svg.select(".y-ticks")
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.append("text")
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.attr("class", "y-axis-title")
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.attr("transform", "rotate(-90)")
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.attr("y", 0 - bounds.marginLeft)
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.attr("x", 0 - (bounds.height / 2))
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.attr("font-size", "1rem")
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.attr("dy", "1.1em")
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.attr("fill", "currentColor")
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.style("text-anchor", "middle")
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.text(`${tr.cardStatsFsrsForgettingCurveProbabilityOfRecalling()}(%)`);
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const lineGenerator = line<DataPoint>()
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.x((d) => x(d.date))
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.y((d) => y(d.retrievability));
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// gradient color
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const desiredRetentionY = desiredRetention * 100;
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svg.append("linearGradient")
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.attr("id", "line-gradient")
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.attr("gradientUnits", "userSpaceOnUse")
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.attr("x1", 0)
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.attr("y1", y(0))
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.attr("x2", 0)
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.attr("y2", y(100))
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.selectAll("stop")
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.data([
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{ offset: "0%", color: "tomato" },
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{ offset: `${desiredRetentionY}%`, color: "steelblue" },
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{ offset: "100%", color: "green" },
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])
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.enter().append("stop")
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.attr("offset", d => d.offset)
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.attr("stop-color", d => d.color);
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svg.append("path")
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.datum(data)
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.attr("class", "forgetting-curve-line")
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.attr("fill", "none")
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.attr("stroke", "url(#line-gradient)")
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.attr("stroke-width", 1.5)
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.attr("d", lineGenerator);
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svg.select(".desired-retention-line").remove();
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if (desiredRetentionY > yMin) {
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svg.append("line")
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.attr("class", "desired-retention-line")
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.attr("x1", bounds.marginLeft)
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.attr("x2", bounds.width - bounds.marginRight)
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.attr("y1", y(desiredRetentionY))
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.attr("y2", y(desiredRetentionY))
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.attr("stroke", "steelblue")
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.attr("stroke-dasharray", "4 4")
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.attr("stroke-width", 1.2);
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}
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const focusLine = svg.append("line")
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.attr("class", "focus-line")
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.attr("y1", bounds.marginTop)
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.attr("y2", bounds.height - bounds.marginBottom)
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.attr("stroke", "black")
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.attr("stroke-width", 1)
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.style("opacity", 0);
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function tooltipText(d: DataPoint): string {
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return `${maxDays >= 365 ? "Date" : "Date Time"}: ${
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maxDays >= 365 ? d.date.toLocaleDateString() : d.date.toLocaleString()
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}<br>
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${tr.cardStatsReviewLogElapsedTime()}: ${
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timeSpan(d.elapsedDaysSinceLastReview * 86400)
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}<br>${tr.cardStatsFsrsRetrievability()}: ${d.retrievability.toFixed(2)}%<br>${tr.cardStatsFsrsStability()}: ${
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timeSpan(d.stability * 86400)
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}`;
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}
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// hover/tooltip
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svg.append("g")
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.attr("class", "hover-columns")
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.selectAll("rect")
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.data(data)
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.join("rect")
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.attr("x", d => x(d.date) - 1)
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.attr("y", bounds.marginTop)
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.attr("width", 2)
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.attr("height", bounds.height - bounds.marginTop - bounds.marginBottom)
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.attr("fill", "transparent")
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.on("mousemove", (event: MouseEvent, d: DataPoint) => {
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const [x1, y1] = pointer(event, document.body);
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const [_, y2] = pointer(event, svg.node());
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const lineY = y(desiredRetentionY);
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focusLine.attr("x1", x(d.date) - 1).attr("x2", x(d.date) + 1).style(
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"opacity",
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1,
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);
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let text = tooltipText(d);
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if (y2 >= lineY - 10 && y2 <= lineY + 10) {
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text += `<br>${tr.cardStatsFsrsForgettingCurveDesiredRetention()}: ${desiredRetention.toFixed(2)}`;
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}
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showTooltip(text, x1, y1);
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})
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.on("mouseout", () => {
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focusLine.style("opacity", 0);
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hideTooltip();
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});
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}
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