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global: snapshot part 3
This commit is contained in:
@@ -284,6 +284,7 @@ export function createCointimeSection() {
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name,
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color,
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base: pattern.base,
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average: pattern.average,
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rolling: pattern.sum,
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cumulative: pattern.cumulative,
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})),
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@@ -335,6 +336,7 @@ export function createCointimeSection() {
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name,
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color,
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base: pattern.base,
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average: pattern.average,
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rolling: pattern.sum,
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cumulative: pattern.cumulative,
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})),
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@@ -342,6 +344,7 @@ export function createCointimeSection() {
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name: vocdd.name,
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color: vocdd.color,
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base: vocdd.pattern.base,
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average: vocdd.pattern.average,
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rolling: vocdd.pattern.sum,
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cumulative: vocdd.pattern.cumulative,
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},
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@@ -2,18 +2,16 @@
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* Cost Basis section builders
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*
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* Structure:
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* - Summary: Key stats (avg + median active, quartiles/extremes available)
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* - By Coin: BTC-weighted percentiles (IQR active: p25, p50, p75)
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* - By Capital: USD-weighted percentiles (IQR active: p25, p50, p75)
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* - Supply Density: Cost basis supply density percentage
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* - Per Coin: sats-weighted (profitability + distribution)
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* - Per Dollar: value-weighted (profitability + distribution)
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* - Profitability: cross-cutting (per coin + per dollar on same chart)
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* - Supply Density: cost basis supply density percentage
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*
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* Only for cohorts WITH costBasis (All, STH, LTH)
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*/
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import { colors } from "../../utils/colors.js";
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import { entries } from "../../utils/array.js";
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import { Unit } from "../../utils/units.js";
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import { priceLines } from "../constants.js";
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import { price, percentRatio } from "../series.js";
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import { mapCohortsWithAll, flatMapCohortsWithAll } from "../shared.js";
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@@ -24,7 +22,7 @@ const ACTIVE_PCTS = new Set(["pct75", "pct50", "pct25"]);
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* @param {(name: string) => string} [n]
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* @returns {FetchedPriceSeriesBlueprint[]}
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*/
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function createCorePercentileSeries(p, n = (x) => x) {
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function percentileSeries(p, n = (x) => x) {
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return entries(p)
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.reverse()
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.map(([key, s], i, arr) =>
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@@ -37,104 +35,46 @@ function createCorePercentileSeries(p, n = (x) => x) {
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);
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}
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/**
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* @param {CohortAll | CohortFull | CohortLongTerm} cohort
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* @returns {FetchedPriceSeriesBlueprint[]}
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*/
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function createSingleSummarySeries(cohort) {
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const { color, tree } = cohort;
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const p = tree.costBasis.percentiles;
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return [
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price({ series: tree.realized.price, name: "Average", color }),
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price({
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series: tree.costBasis.max,
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name: "Max (p100)",
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color: colors.stat.max,
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defaultActive: false,
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}),
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price({
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series: p.pct75,
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name: "Q3 (p75)",
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color: colors.stat.pct75,
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defaultActive: false,
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}),
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price({ series: p.pct50, name: "Median (p50)", color: colors.stat.median }),
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price({
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series: p.pct25,
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name: "Q1 (p25)",
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color: colors.stat.pct25,
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defaultActive: false,
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}),
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price({
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series: tree.costBasis.min,
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name: "Min (p0)",
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color: colors.stat.min,
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defaultActive: false,
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}),
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];
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}
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// ============================================================================
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// Single cohort helpers
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// ============================================================================
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/**
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* @param {readonly (CohortAll | CohortFull | CohortLongTerm)[]} list
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* @param {CohortAll} all
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* @returns {FetchedPriceSeriesBlueprint[]}
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* Per Coin or Per Dollar folder for a single cohort
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* @param {Object} args
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* @param {AnyPricePattern} args.avgPrice - realized price (per coin) or investor price (per dollar)
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* @param {string} args.avgName
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* @param {AnyPricePattern} args.inProfit
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* @param {AnyPricePattern} args.inLoss
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* @param {PercentilesPattern} args.percentiles
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* @param {Color} args.color
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* @param {string} args.weightLabel
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* @param {(name: string) => string} args.title
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* @param {AnyPricePattern} [args.min]
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* @param {AnyPricePattern} [args.max]
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* @returns {PartialOptionsTree}
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*/
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function createGroupedSummarySeries(list, all) {
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return mapCohortsWithAll(list, all, ({ name, color, tree }) =>
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price({ series: tree.realized.price, name, color }),
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);
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}
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/**
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* @param {CohortAll | CohortFull | CohortLongTerm} cohort
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* @returns {FetchedPriceSeriesBlueprint[]}
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*/
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function createSingleByCoinSeries(cohort) {
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const { color, tree } = cohort;
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const cb = tree.costBasis;
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function singleWeightFolder({ avgPrice, avgName, inProfit, inLoss, percentiles, color, weightLabel, title, min, max }) {
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return [
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price({ series: tree.realized.price, name: "Average", color }),
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price({
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series: cb.max,
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name: "p100",
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color: colors.stat.max,
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defaultActive: false,
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}),
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...createCorePercentileSeries(cb.percentiles),
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price({
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series: cb.min,
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name: "p0",
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color: colors.stat.min,
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defaultActive: false,
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}),
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];
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}
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/**
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* @param {CohortAll | CohortFull | CohortLongTerm} cohort
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* @returns {FetchedPriceSeriesBlueprint[]}
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*/
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function createSingleByCapitalSeries(cohort) {
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const { color, tree } = cohort;
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return [
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price({ series: tree.realized.investor.price, name: "Average", color }),
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...createCorePercentileSeries(tree.costBasis.investedCapital),
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];
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}
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/**
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* @param {CohortAll | CohortFull | CohortLongTerm} cohort
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* @returns {AnyFetchedSeriesBlueprint[]}
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*/
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function createSingleSupplyDensitySeries(cohort) {
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const { tree } = cohort;
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return [
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...percentRatio({
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pattern: tree.costBasis.supplyDensity,
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name: "Supply Density",
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color: colors.bitcoin,
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}),
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...priceLines({ numbers: [100, 50, 0], unit: Unit.percentage }),
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{
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name: "Profitability",
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title: title(`Cost Basis Profitability (${weightLabel})`),
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top: [
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price({ series: inProfit, name: "In Profit", color: colors.profit }),
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price({ series: avgPrice, name: avgName, color }),
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price({ series: inLoss, name: "In Loss", color: colors.loss }),
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],
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},
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{
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name: "Distribution",
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title: title(`Cost Basis Distribution (${weightLabel})`),
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top: [
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price({ series: avgPrice, name: avgName, color }),
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...(max ? [price({ series: max, name: "p100", color: colors.stat.max, defaultActive: false })] : []),
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...percentileSeries(percentiles),
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...(min ? [price({ series: min, name: "p0", color: colors.stat.min, defaultActive: false })] : []),
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],
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},
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];
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}
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@@ -143,125 +83,171 @@ function createSingleSupplyDensitySeries(cohort) {
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* @returns {PartialOptionsGroup}
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*/
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export function createCostBasisSectionWithPercentiles({ cohort, title }) {
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const { tree, color } = cohort;
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const cb = tree.costBasis;
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return {
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name: "Cost Basis",
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tree: [
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{
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name: "Summary",
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title: title("Cost Basis Summary"),
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top: createSingleSummarySeries(cohort),
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name: "Per Coin",
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tree: singleWeightFolder({
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avgPrice: tree.realized.price, avgName: "Average",
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inProfit: cb.inProfit.perCoin, inLoss: cb.inLoss.perCoin,
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percentiles: cb.percentiles, color, weightLabel: "BTC-weighted", title,
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min: cb.min, max: cb.max,
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}),
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},
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{
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name: "By Coin",
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title: title("Cost Basis Distribution (BTC-weighted)"),
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top: createSingleByCoinSeries(cohort),
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name: "Per Dollar",
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tree: singleWeightFolder({
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avgPrice: tree.realized.investor.price, avgName: "Average",
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inProfit: cb.inProfit.perDollar, inLoss: cb.inLoss.perDollar,
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percentiles: cb.investedCapital, color, weightLabel: "USD-weighted", title,
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}),
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},
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{
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name: "By Capital",
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title: title("Cost Basis Distribution (USD-weighted)"),
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top: createSingleByCapitalSeries(cohort),
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name: "Profitability",
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tree: [
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{
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name: "In Profit",
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title: title("Cost Basis In Profit"),
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top: [
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price({ series: cb.inProfit.perCoin, name: "Per Coin", color: colors.realized }),
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price({ series: cb.inProfit.perDollar, name: "Per Dollar", color: colors.investor }),
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],
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},
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{
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name: "In Loss",
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title: title("Cost Basis In Loss"),
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top: [
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price({ series: cb.inLoss.perCoin, name: "Per Coin", color: colors.realized }),
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price({ series: cb.inLoss.perDollar, name: "Per Dollar", color: colors.investor }),
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],
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},
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],
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},
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{
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name: "Supply Density",
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title: title("Cost Basis Supply Density"),
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bottom: createSingleSupplyDensitySeries(cohort),
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bottom: percentRatio({ pattern: cb.supplyDensity, name: "Supply Density", color: colors.bitcoin }),
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},
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],
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};
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}
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// ============================================================================
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// Grouped cohort helpers
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// ============================================================================
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/**
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* Per Coin or Per Dollar folder for grouped cohorts
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* @param {Object} args
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* @param {readonly (CohortAll | CohortFull | CohortLongTerm)[]} args.list
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* @param {CohortAll} args.all
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* @param {(c: CohortAll | CohortFull | CohortLongTerm) => AnyPricePattern} args.getAvgPrice
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* @param {(c: CohortAll | CohortFull | CohortLongTerm) => AnyPricePattern} args.getInProfit
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* @param {(c: CohortAll | CohortFull | CohortLongTerm) => AnyPricePattern} args.getInLoss
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* @param {(c: CohortAll | CohortFull | CohortLongTerm) => PercentilesPattern} args.getPercentiles
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* @param {string} args.avgTitle
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* @param {string} args.weightLabel
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* @param {(name: string) => string} args.title
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* @returns {PartialOptionsTree}
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*/
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function groupedWeightFolder({ list, all, getAvgPrice, getInProfit, getInLoss, getPercentiles, avgTitle, weightLabel, title }) {
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return [
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{
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name: "Profitability",
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tree: [
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{
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name: "In Profit",
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title: title(`Cost Basis In Profit (${weightLabel})`),
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top: mapCohortsWithAll(list, all, (c) =>
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price({ series: getInProfit(c), name: c.name, color: c.color }),
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),
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},
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{
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name: "In Loss",
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title: title(`Cost Basis In Loss (${weightLabel})`),
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top: mapCohortsWithAll(list, all, (c) =>
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price({ series: getInLoss(c), name: c.name, color: c.color }),
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),
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},
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],
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},
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{
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name: "Distribution",
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tree: [
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{
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name: "Average",
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title: title(`${avgTitle} Comparison`),
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top: mapCohortsWithAll(list, all, (c) =>
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price({ series: getAvgPrice(c), name: c.name, color: c.color }),
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),
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},
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...(/** @type {const} */ ([
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["pct50", "Median"],
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["pct75", "Q3"],
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["pct25", "Q1"],
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])).map(([pct, label]) => ({
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name: label,
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title: title(`Cost Basis ${label} (${weightLabel})`),
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top: mapCohortsWithAll(list, all, (c) =>
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price({ series: getPercentiles(c)[pct], name: c.name, color: c.color }),
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),
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})),
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],
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},
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];
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}
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/**
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* @param {{ list: readonly (CohortAll | CohortFull | CohortLongTerm)[], all: CohortAll, title: (name: string) => string }} args
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* @returns {PartialOptionsGroup}
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*/
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export function createGroupedCostBasisSectionWithPercentiles({
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list,
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all,
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title,
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}) {
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export function createGroupedCostBasisSectionWithPercentiles({ list, all, title }) {
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return {
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name: "Cost Basis",
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tree: [
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{
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name: "Summary",
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title: title("Cost Basis Summary"),
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top: createGroupedSummarySeries(list, all),
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name: "Per Coin",
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tree: groupedWeightFolder({
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list, all, title,
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getAvgPrice: (c) => c.tree.realized.price,
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getInProfit: (c) => c.tree.costBasis.inProfit.perCoin,
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getInLoss: (c) => c.tree.costBasis.inLoss.perCoin,
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getPercentiles: (c) => c.tree.costBasis.percentiles,
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avgTitle: "Average", weightLabel: "BTC-weighted",
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}),
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},
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{
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name: "By Coin",
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tree: [
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||||
{
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name: "Average",
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title: title("Realized Price Comparison"),
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top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
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price({ series: tree.realized.price, name, color }),
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),
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||||
},
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||||
{
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name: "Median",
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title: title("Cost Basis Median (BTC-weighted)"),
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top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
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price({ series: tree.costBasis.percentiles.pct50, name, color }),
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),
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},
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{
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name: "Q3",
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title: title("Cost Basis Q3 (BTC-weighted)"),
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top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
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price({ series: tree.costBasis.percentiles.pct75, name, color }),
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||||
),
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||||
},
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||||
{
|
||||
name: "Q1",
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title: title("Cost Basis Q1 (BTC-weighted)"),
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top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
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price({ series: tree.costBasis.percentiles.pct25, name, color }),
|
||||
),
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||||
},
|
||||
],
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||||
name: "Per Dollar",
|
||||
tree: groupedWeightFolder({
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||||
list, all, title,
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||||
getAvgPrice: (c) => c.tree.realized.investor.price,
|
||||
getInProfit: (c) => c.tree.costBasis.inProfit.perDollar,
|
||||
getInLoss: (c) => c.tree.costBasis.inLoss.perDollar,
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||||
getPercentiles: (c) => c.tree.costBasis.investedCapital,
|
||||
avgTitle: "Average", weightLabel: "USD-weighted",
|
||||
}),
|
||||
},
|
||||
{
|
||||
name: "By Capital",
|
||||
name: "Profitability",
|
||||
tree: [
|
||||
{
|
||||
name: "Average",
|
||||
title: title("Investor Price Comparison"),
|
||||
top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
|
||||
price({ series: tree.realized.investor.price, name, color }),
|
||||
),
|
||||
name: "In Profit",
|
||||
title: title("Cost Basis In Profit"),
|
||||
top: flatMapCohortsWithAll(list, all, ({ name, color, tree }) => [
|
||||
price({ series: tree.costBasis.inProfit.perCoin, name: `${name} (coin)`, color }),
|
||||
price({ series: tree.costBasis.inProfit.perDollar, name: `${name} (dollar)`, color }),
|
||||
]),
|
||||
},
|
||||
{
|
||||
name: "Median",
|
||||
title: title("Cost Basis Median (USD-weighted)"),
|
||||
top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
|
||||
price({
|
||||
series: tree.costBasis.investedCapital.pct50,
|
||||
name,
|
||||
color,
|
||||
}),
|
||||
),
|
||||
},
|
||||
{
|
||||
name: "Q3",
|
||||
title: title("Cost Basis Q3 (USD-weighted)"),
|
||||
top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
|
||||
price({
|
||||
series: tree.costBasis.investedCapital.pct75,
|
||||
name,
|
||||
color,
|
||||
}),
|
||||
),
|
||||
},
|
||||
{
|
||||
name: "Q1",
|
||||
title: title("Cost Basis Q1 (USD-weighted)"),
|
||||
top: mapCohortsWithAll(list, all, ({ name, color, tree }) =>
|
||||
price({
|
||||
series: tree.costBasis.investedCapital.pct25,
|
||||
name,
|
||||
color,
|
||||
}),
|
||||
),
|
||||
name: "In Loss",
|
||||
title: title("Cost Basis In Loss"),
|
||||
top: flatMapCohortsWithAll(list, all, ({ name, color, tree }) => [
|
||||
price({ series: tree.costBasis.inLoss.perCoin, name: `${name} (coin)`, color }),
|
||||
price({ series: tree.costBasis.inLoss.perDollar, name: `${name} (dollar)`, color }),
|
||||
]),
|
||||
},
|
||||
],
|
||||
},
|
||||
@@ -269,11 +255,7 @@ export function createGroupedCostBasisSectionWithPercentiles({
|
||||
name: "Supply Density",
|
||||
title: title("Cost Basis Supply Density"),
|
||||
bottom: flatMapCohortsWithAll(list, all, ({ name, color, tree }) =>
|
||||
percentRatio({
|
||||
pattern: tree.costBasis.supplyDensity,
|
||||
name,
|
||||
color,
|
||||
}),
|
||||
percentRatio({ pattern: tree.costBasis.supplyDensity, name, color }),
|
||||
),
|
||||
},
|
||||
],
|
||||
|
||||
@@ -510,6 +510,7 @@ export function createNetworkSection() {
|
||||
name: "Created",
|
||||
color: colors.entity.output,
|
||||
base: outputs.count.total.sum,
|
||||
average: outputs.count.total.rolling.average,
|
||||
rolling: outputs.count.total.rolling.sum,
|
||||
cumulative: outputs.count.total.cumulative,
|
||||
},
|
||||
@@ -517,6 +518,7 @@ export function createNetworkSection() {
|
||||
name: "Spent",
|
||||
color: colors.entity.input,
|
||||
base: inputs.count.sum,
|
||||
average: inputs.count.rolling.average,
|
||||
rolling: inputs.count.rolling.sum,
|
||||
cumulative: inputs.count.cumulative,
|
||||
},
|
||||
|
||||
@@ -84,12 +84,13 @@ export function price({
|
||||
|
||||
/**
|
||||
* Create percentile series (max/min/median/pct75/pct25/pct90/pct10) from any stats pattern
|
||||
* @param {DistributionStats} pattern
|
||||
* @param {Unit} unit
|
||||
* @param {string} title
|
||||
* @param {Object} args
|
||||
* @param {DistributionStats} args.pattern
|
||||
* @param {Unit} args.unit
|
||||
* @param {string} [args.title]
|
||||
* @returns {AnyFetchedSeriesBlueprint[]}
|
||||
*/
|
||||
function percentileSeries(pattern, unit, title) {
|
||||
function percentileSeries({ pattern, unit, title = "" }) {
|
||||
const { stat } = colors;
|
||||
return [
|
||||
dots({
|
||||
@@ -418,9 +419,7 @@ export function fromBaseStatsPattern({
|
||||
unit,
|
||||
title = "",
|
||||
baseColor,
|
||||
avgActive = true,
|
||||
}) {
|
||||
const { stat } = colors;
|
||||
const stats = statsAtWindow(pattern, window);
|
||||
return [
|
||||
dots({
|
||||
@@ -429,46 +428,17 @@ export function fromBaseStatsPattern({
|
||||
color: baseColor,
|
||||
unit,
|
||||
}),
|
||||
dots({
|
||||
series: stats.average,
|
||||
name: `${title} avg`.trim(),
|
||||
color: stat.avg,
|
||||
unit,
|
||||
defaultActive: avgActive,
|
||||
}),
|
||||
...percentileSeries(stats, unit, title),
|
||||
...percentileSeries({ pattern: stats, unit, title }),
|
||||
];
|
||||
}
|
||||
|
||||
/**
|
||||
* Create series from a flat stats pattern (average + pct percentiles as single series)
|
||||
* Use statsAtWindow() to extract from patterns with _1y24h30d7dPattern stats
|
||||
* @param {Object} args
|
||||
* @param {{ average: AnySeriesPattern, median: AnySeriesPattern, max: AnySeriesPattern, min: AnySeriesPattern, pct75: AnySeriesPattern, pct25: AnySeriesPattern, pct90: AnySeriesPattern, pct10: AnySeriesPattern }} args.pattern
|
||||
* @param {Unit} args.unit
|
||||
* @param {string} [args.title]
|
||||
* @returns {AnyFetchedSeriesBlueprint[]}
|
||||
*/
|
||||
export function fromStatsPattern({ pattern, unit, title = "" }) {
|
||||
return [
|
||||
{
|
||||
type: "Dots",
|
||||
series: pattern.average,
|
||||
title: `${title} avg`.trim(),
|
||||
unit,
|
||||
},
|
||||
...percentileSeries(pattern, unit, title),
|
||||
];
|
||||
}
|
||||
|
||||
/**
|
||||
* Extract stats at a specific rolling window from patterns with _1y24h30d7dPattern stats
|
||||
* @param {Record<string, any>} pattern - Pattern with pct10/pct25/pct75/pct90 and average/median/max/min as _1y24h30d7dPattern
|
||||
* Extract stats at a specific rolling window
|
||||
* @param {Record<string, any>} pattern - Pattern with pct10/pct25/pct75/pct90 and median/max/min as _1y24h30d7dPattern
|
||||
* @param {string} window
|
||||
*/
|
||||
export function statsAtWindow(pattern, window) {
|
||||
return {
|
||||
average: pattern.average[window],
|
||||
median: pattern.median[window],
|
||||
max: pattern.max[window],
|
||||
min: pattern.min[window],
|
||||
@@ -601,10 +571,10 @@ export function distributionWindowsTree({ pattern, base, title, unit }) {
|
||||
tree: [
|
||||
{
|
||||
name: "Compare",
|
||||
title: `${title} Average`,
|
||||
title: `${title} Median`,
|
||||
bottom: ROLLING_WINDOWS.map((w) =>
|
||||
line({
|
||||
series: pattern.average[w.key],
|
||||
series: pattern.median[w.key],
|
||||
name: w.name,
|
||||
color: w.color,
|
||||
unit,
|
||||
@@ -616,10 +586,7 @@ export function distributionWindowsTree({ pattern, base, title, unit }) {
|
||||
title: `${title} Distribution (${w.title})`,
|
||||
bottom: [
|
||||
...(base ? [line({ series: base, name: "base", unit })] : []),
|
||||
...fromStatsPattern({
|
||||
pattern: statsAtWindow(pattern, w.key),
|
||||
unit,
|
||||
}),
|
||||
...percentileSeries({ pattern: statsAtWindow(pattern, w.key), unit }),
|
||||
],
|
||||
})),
|
||||
],
|
||||
@@ -628,12 +595,11 @@ export function distributionWindowsTree({ pattern, base, title, unit }) {
|
||||
|
||||
/**
|
||||
* Map a rolling window slot's stats to a specific unit, producing a stats-compatible pattern
|
||||
* @param {{ average: Record<string, AnySeriesPattern>, median: Record<string, AnySeriesPattern>, max: Record<string, AnySeriesPattern>, min: Record<string, AnySeriesPattern>, pct75: Record<string, AnySeriesPattern>, pct25: Record<string, AnySeriesPattern>, pct90: Record<string, AnySeriesPattern>, pct10: Record<string, AnySeriesPattern> }} slot - Rolling window slot with multi-currency stats
|
||||
* @param {{ median: Record<string, AnySeriesPattern>, max: Record<string, AnySeriesPattern>, min: Record<string, AnySeriesPattern>, pct75: Record<string, AnySeriesPattern>, pct25: Record<string, AnySeriesPattern>, pct90: Record<string, AnySeriesPattern>, pct10: Record<string, AnySeriesPattern> }} slot - Rolling window slot with multi-currency stats
|
||||
* @param {BtcSatsUsdKey} unitKey
|
||||
*/
|
||||
function rollingSlotForUnit(slot, unitKey) {
|
||||
return {
|
||||
average: slot.average[unitKey],
|
||||
median: slot.median[unitKey],
|
||||
max: slot.max[unitKey],
|
||||
min: slot.min[unitKey],
|
||||
@@ -646,19 +612,19 @@ function rollingSlotForUnit(slot, unitKey) {
|
||||
|
||||
/**
|
||||
* Create distribution series for btc/sats/usd from a rolling window slot
|
||||
* @param {{ average: Record<string, AnySeriesPattern>, median: Record<string, AnySeriesPattern>, max: Record<string, AnySeriesPattern>, min: Record<string, AnySeriesPattern>, pct75: Record<string, AnySeriesPattern>, pct25: Record<string, AnySeriesPattern>, pct90: Record<string, AnySeriesPattern>, pct10: Record<string, AnySeriesPattern> }} slot - Rolling window slot with multi-currency stats
|
||||
* @param {{ median: Record<string, AnySeriesPattern>, max: Record<string, AnySeriesPattern>, min: Record<string, AnySeriesPattern>, pct75: Record<string, AnySeriesPattern>, pct25: Record<string, AnySeriesPattern>, pct90: Record<string, AnySeriesPattern>, pct10: Record<string, AnySeriesPattern> }} slot - Rolling window slot with multi-currency stats
|
||||
* @returns {AnyFetchedSeriesBlueprint[]}
|
||||
*/
|
||||
export const distributionBtcSatsUsd = (slot) => [
|
||||
...fromStatsPattern({
|
||||
...percentileSeries({
|
||||
pattern: rollingSlotForUnit(slot, "btc"),
|
||||
unit: Unit.btc,
|
||||
}),
|
||||
...fromStatsPattern({
|
||||
...percentileSeries({
|
||||
pattern: rollingSlotForUnit(slot, "sats"),
|
||||
unit: Unit.sats,
|
||||
}),
|
||||
...fromStatsPattern({
|
||||
...percentileSeries({
|
||||
pattern: rollingSlotForUnit(slot, "usd"),
|
||||
unit: Unit.usd,
|
||||
}),
|
||||
@@ -907,11 +873,7 @@ export function chartsFromFull({
|
||||
? `${title} ${distributionSuffix}`
|
||||
: title;
|
||||
return [
|
||||
{
|
||||
name: "Per Block",
|
||||
title,
|
||||
bottom: [{ series: pattern.base, title: "base", unit }],
|
||||
},
|
||||
averagesTree({ windows: pattern.average, title, unit }),
|
||||
sumsTree({ windows: pattern.sum, title, unit }),
|
||||
distributionWindowsTree({ pattern, title: distTitle, unit }),
|
||||
{
|
||||
@@ -948,16 +910,11 @@ export function chartsFromAggregated({
|
||||
unit,
|
||||
distributionSuffix = "",
|
||||
}) {
|
||||
const { stat } = colors;
|
||||
const distTitle = distributionSuffix
|
||||
? `${title} ${distributionSuffix}`
|
||||
: title;
|
||||
return [
|
||||
{
|
||||
name: "Per Block",
|
||||
title,
|
||||
bottom: [{ series: pattern.sum, title: "base", color: stat.sum, unit }],
|
||||
},
|
||||
averagesTree({ windows: pattern.rolling.average, title, unit }),
|
||||
sumsTree({ windows: pattern.rolling.sum, title, unit }),
|
||||
distributionWindowsTree({
|
||||
pattern: pattern.rolling,
|
||||
@@ -996,12 +953,12 @@ export function chartsFromBlockAnd6b({ pattern, title, unit }) {
|
||||
{
|
||||
name: "Block",
|
||||
title: `${title} (Block)`,
|
||||
bottom: fromStatsPattern({ pattern: pattern.block, unit }),
|
||||
bottom: percentileSeries({ pattern: pattern.block, unit }),
|
||||
},
|
||||
{
|
||||
name: "Hourly",
|
||||
title: `${title} (Hourly)`,
|
||||
bottom: fromStatsPattern({ pattern: pattern._6b, unit }),
|
||||
bottom: percentileSeries({ pattern: pattern._6b, unit }),
|
||||
},
|
||||
];
|
||||
}
|
||||
@@ -1037,11 +994,7 @@ export function chartsFromSumsCumulative({ pattern, title, unit, color }) {
|
||||
*/
|
||||
export function chartsFromCount({ pattern, title, unit, color }) {
|
||||
return [
|
||||
{
|
||||
name: "Per Block",
|
||||
title,
|
||||
bottom: [{ series: pattern.base, title: "base", color, unit }],
|
||||
},
|
||||
averagesTree({ windows: pattern.average, title, unit }),
|
||||
...chartsFromSumsCumulative({ pattern, title, unit, color }),
|
||||
];
|
||||
}
|
||||
@@ -1060,6 +1013,7 @@ export function chartsFromCountEntries({ entries, title, unit }) {
|
||||
name,
|
||||
color: colors.at(i, arr.length),
|
||||
base: data.base,
|
||||
average: data.average,
|
||||
rolling: data.sum,
|
||||
cumulative: data.cumulative,
|
||||
})),
|
||||
@@ -1071,7 +1025,7 @@ export function chartsFromCountEntries({ entries, title, unit }) {
|
||||
/**
|
||||
* Per Block + Sums + Cumulative tree for multiple named series shown side-by-side
|
||||
* @param {Object} args
|
||||
* @param {Array<{ name: string, color: Color, base: AnySeriesPattern, rolling: { _24h: AnySeriesPattern, _1w: AnySeriesPattern, _1m: AnySeriesPattern, _1y: AnySeriesPattern }, cumulative: AnySeriesPattern }>} args.entries
|
||||
* @param {Array<{ name: string, color: Color, base: AnySeriesPattern, average: { _24h: AnySeriesPattern, _1w: AnySeriesPattern, _1m: AnySeriesPattern, _1y: AnySeriesPattern }, rolling: { _24h: AnySeriesPattern, _1w: AnySeriesPattern, _1m: AnySeriesPattern, _1y: AnySeriesPattern }, cumulative: AnySeriesPattern }>} args.entries
|
||||
* @param {string} args.title
|
||||
* @param {Unit} args.unit
|
||||
* @returns {PartialOptionsTree}
|
||||
@@ -1079,10 +1033,17 @@ export function chartsFromCountEntries({ entries, title, unit }) {
|
||||
export function multiSeriesTree({ entries, title, unit }) {
|
||||
return [
|
||||
{
|
||||
name: "Per Block",
|
||||
title,
|
||||
bottom: entries.map((e) =>
|
||||
line({ series: e.base, name: e.name, color: e.color, unit }),
|
||||
name: "Compare",
|
||||
title: `${title} Average`,
|
||||
bottom: ROLLING_WINDOWS.flatMap((w) =>
|
||||
entries.map((e) =>
|
||||
line({
|
||||
series: e.average[w.key],
|
||||
name: `${e.name} ${w.name}`,
|
||||
color: e.color,
|
||||
unit,
|
||||
}),
|
||||
),
|
||||
),
|
||||
},
|
||||
...ROLLING_WINDOWS.map((w) => ({
|
||||
|
||||
@@ -224,21 +224,35 @@ export function satsBtcUsdRolling({ pattern, name, color, defaultActive }) {
|
||||
* @param {Color} [args.color]
|
||||
* @returns {PartialOptionsTree}
|
||||
*/
|
||||
export function satsBtcUsdFullTree({ pattern, name, title, color }) {
|
||||
export function satsBtcUsdFullTree({ pattern, title, color }) {
|
||||
return [
|
||||
{
|
||||
name: "Per Block",
|
||||
title,
|
||||
bottom: satsBtcUsd({ pattern: pattern.base, name, color }),
|
||||
name: "Compare",
|
||||
title: `${title} Average`,
|
||||
bottom: ROLLING_WINDOWS.flatMap((w) =>
|
||||
satsBtcUsd({
|
||||
pattern: pattern.average[w.key],
|
||||
name: w.name,
|
||||
color: w.color,
|
||||
}),
|
||||
),
|
||||
},
|
||||
...ROLLING_WINDOWS.map((w) => ({
|
||||
name: w.name,
|
||||
title: `${title} ${w.title} Sum`,
|
||||
bottom: satsBtcUsd({
|
||||
pattern: pattern.sum[w.key],
|
||||
name: w.name,
|
||||
color: w.color,
|
||||
}),
|
||||
title: `${title} ${w.title}`,
|
||||
bottom: [
|
||||
...satsBtcUsd({
|
||||
pattern: pattern.sum[w.key],
|
||||
name: "Sum",
|
||||
color: w.color,
|
||||
}),
|
||||
...satsBtcUsd({
|
||||
pattern: pattern.average[w.key],
|
||||
name: "Avg",
|
||||
color: w.color,
|
||||
defaultActive: false,
|
||||
}),
|
||||
],
|
||||
})),
|
||||
{
|
||||
name: "Cumulative",
|
||||
|
||||
Reference in New Issue
Block a user