anki/ts/graphs/difficulty.ts
Damien Elmes 5004cd332b
Integrate FSRS into Anki (#2654)
* 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>
2023-09-16 16:09:26 +10:00

123 lines
3.6 KiB
TypeScript

// Copyright: Ankitects Pty Ltd and contributors
// License: GNU AGPL, version 3 or later; http://www.gnu.org/licenses/agpl.html
/* eslint
@typescript-eslint/no-explicit-any: "off",
*/
import type { GraphsResponse } from "@tslib/anki/stats_pb";
import * as tr from "@tslib/ftl";
import { localizedNumber } from "@tslib/i18n";
import type { Bin, ScaleLinear } from "d3";
import { bin, interpolateRdYlGn, scaleLinear, scaleSequential, sum } from "d3";
import type { SearchDispatch, TableDatum } from "./graph-helpers";
import { getNumericMapBinValue, numericMap } from "./graph-helpers";
import type { HistogramData } from "./histogram-graph";
export interface GraphData {
eases: Map<number, number>;
}
export function gatherData(data: GraphsResponse): GraphData {
return { eases: numericMap(data.difficulty!.eases) };
}
function makeQuery(start: number, end: number): string {
const fromQuery = `"prop:d>=${start / 100}"`;
let tillQuery = `"prop:d<${(end + 1) / 100}"`;
if (end === 99) {
tillQuery = tillQuery.replace("<", "<=");
}
return `${fromQuery} AND ${tillQuery}`;
}
function getAdjustedScaleAndTicks(
min: number,
max: number,
desiredBars: number,
): [ScaleLinear<number, number, never>, number[]] {
const prescale = scaleLinear().domain([min, max]).nice();
const ticks = prescale.ticks(desiredBars);
const predomain = prescale.domain() as [number, number];
const minOffset = min - predomain[0];
const tickSize = ticks[1] - ticks[0];
if (minOffset === 0 || (minOffset % tickSize !== 0 && tickSize % minOffset !== 0)) {
return [prescale, ticks];
}
const add = (n: number): number => n + minOffset;
return [
scaleLinear().domain(predomain.map(add) as [number, number]),
ticks.map(add),
];
}
export function prepareData(
data: GraphData,
dispatch: SearchDispatch,
browserLinksSupported: boolean,
): [HistogramData | null, TableDatum[]] {
// get min/max
const allEases = data.eases;
if (!allEases.size) {
return [null, []];
}
const xMin = 0;
const xMax = 100;
const desiredBars = 20;
const [scale, ticks] = getAdjustedScaleAndTicks(xMin, xMax, desiredBars);
const bins = bin()
.value((m) => {
return m[0];
})
.domain(scale.domain() as [number, number])
.thresholds(ticks)(allEases.entries() as any);
const total = sum(bins as any, getNumericMapBinValue);
const colourScale = scaleSequential(interpolateRdYlGn).domain([100, 0]);
function hoverText(bin: Bin<number, number>, _percent: number): string {
const percent = `${bin.x0}%-${bin.x1}%`;
return tr.statisticsCardDifficultyTooltip({
cards: getNumericMapBinValue(bin as any),
percent,
});
}
function onClick(bin: Bin<number, number>): void {
const start = bin.x0!;
const end = bin.x1! - 1;
const query = makeQuery(start, end);
dispatch("search", { query });
}
const xTickFormat = (num: number): string => localizedNumber(num, 0) + "%";
const tableData = [
{
label: tr.statisticsAverageDifficulty(),
value: xTickFormat(sum(Array.from(allEases.entries()).map(([k, v]) => k * v)) / total),
},
];
return [
{
scale,
bins,
total,
hoverText,
onClick: browserLinksSupported ? onClick : null,
colourScale,
showArea: false,
binValue: getNumericMapBinValue,
xTickFormat,
},
tableData,
];
}