5004cd332b
* Pack FSRS data into card.data * Update FSRS card data when preset or weights change + Show FSRS stats in card stats * Show a warning when there's a limited review history * Add some translations; tweak UI * Fix default requested retention * Add browser columns, fix calculation of R * Property searches eg prop:d>0.1 * Integrate FSRS into reviewer * Warn about long learning steps * Hide minimum interval when FSRS is on * Don't apply interval multiplier to FSRS intervals * Expose memory state to Python * Don't set memory state on new cards * Port Jarret's new tests; add some helpers to make tests more compact https://github.com/open-spaced-repetition/fsrs-rs/pull/64 * Fix learning cards not being given memory state * Require update to v3 scheduler * Don't exclude single learning step when calculating memory state * Use relearning step when learning steps unavailable * Update docstring * fix single_card_revlog_to_items (#2656) * not need check the review_kind for unique_dates * add email address to CONTRIBUTORS * fix last first learn & keep early review * cargo fmt * cargo clippy --fix * Add Jarrett to about screen * Fix fsrs_memory_state being initialized to default in get_card() * Set initial memory state on graduate * Update to latest FSRS * Fix experiment.log being empty * Fix broken colpkg imports Introduced by "Update FSRS card data when preset or weights change" * Update memory state during (re)learning; use FSRS for graduating intervals * Reset memory state when cards are manually rescheduled as new * Add difficulty graph; hide eases when FSRS enabled * Add retrievability graph * Derive memory_state from revlog when it's missing and shouldn't be --------- Co-authored-by: Jarrett Ye <jarrett.ye@outlook.com>
123 lines
3.6 KiB
TypeScript
123 lines
3.6 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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/* eslint
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@typescript-eslint/no-explicit-any: "off",
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*/
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import type { GraphsResponse } from "@tslib/anki/stats_pb";
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import * as tr from "@tslib/ftl";
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import { localizedNumber } from "@tslib/i18n";
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import type { Bin, ScaleLinear } from "d3";
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import { bin, interpolateRdYlGn, scaleLinear, scaleSequential, sum } from "d3";
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import type { SearchDispatch, TableDatum } from "./graph-helpers";
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import { getNumericMapBinValue, numericMap } from "./graph-helpers";
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import type { HistogramData } from "./histogram-graph";
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export interface GraphData {
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retrievability: Map<number, number>;
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}
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export function gatherData(data: GraphsResponse): GraphData {
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return { retrievability: numericMap(data.retrievability!.retrievability) };
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}
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function makeQuery(start: number, end: number): string {
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const fromQuery = `"prop:r>=${start / 100}"`;
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let tillQuery = `"prop:r<${(end + 1) / 100}"`;
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if (end === 99) {
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tillQuery = tillQuery.replace("<", "<=");
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}
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return `${fromQuery} AND ${tillQuery}`;
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}
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function getAdjustedScaleAndTicks(
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min: number,
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max: number,
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desiredBars: number,
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): [ScaleLinear<number, number, never>, number[]] {
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const prescale = scaleLinear().domain([min, max]).nice();
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const ticks = prescale.ticks(desiredBars);
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const predomain = prescale.domain() as [number, number];
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const minOffset = min - predomain[0];
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const tickSize = ticks[1] - ticks[0];
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if (minOffset === 0 || (minOffset % tickSize !== 0 && tickSize % minOffset !== 0)) {
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return [prescale, ticks];
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}
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const add = (n: number): number => n + minOffset;
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return [
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scaleLinear().domain(predomain.map(add) as [number, number]),
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ticks.map(add),
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];
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}
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export function prepareData(
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data: GraphData,
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dispatch: SearchDispatch,
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browserLinksSupported: boolean,
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): [HistogramData | null, TableDatum[]] {
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// get min/max
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const allEases = data.retrievability;
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if (!allEases.size) {
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return [null, []];
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}
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const xMin = 0;
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const xMax = 100;
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const desiredBars = 20;
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const [scale, ticks] = getAdjustedScaleAndTicks(xMin, xMax, desiredBars);
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const bins = bin()
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.value((m) => {
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return m[0];
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})
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.domain(scale.domain() as [number, number])
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.thresholds(ticks)(allEases.entries() as any);
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const total = sum(bins as any, getNumericMapBinValue);
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const colourScale = scaleSequential(interpolateRdYlGn).domain([0, 100]);
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function hoverText(bin: Bin<number, number>, _percent: number): string {
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const percent = `${bin.x0}%-${bin.x1}%`;
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return tr.statisticsRetrievabilityTooltip({
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cards: getNumericMapBinValue(bin as any),
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percent,
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});
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}
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function onClick(bin: Bin<number, number>): void {
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const start = bin.x0!;
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const end = bin.x1! - 1;
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const query = makeQuery(start, end);
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dispatch("search", { query });
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}
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const xTickFormat = (num: number): string => localizedNumber(num, 0) + "%";
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const tableData = [
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{
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label: tr.statisticsAverageRetrievability(),
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value: xTickFormat(sum(Array.from(allEases.entries()).map(([k, v]) => k * v)) / total),
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},
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];
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return [
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{
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scale,
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bins,
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total,
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hoverText,
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onClick: browserLinksSupported ? onClick : null,
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colourScale,
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showArea: false,
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binValue: getNumericMapBinValue,
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xTickFormat,
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},
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tableData,
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];
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}
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