Anki/ts/routes/card-info/forgetting-curve.ts
OuOu2021 cee04bf20c
Apply gradient effect to forgetting curve (#3604)
* 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>
2024-12-09 17:44:05 +11:00

314 lines
11 KiB
TypeScript

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