import { useMemo } from 'react' import { last, sortBy } from 'lodash' import { scaleTime, scaleLog, scaleLinear } from 'd3-scale' import { curveStepAfter } from 'd3-shape' import { Bet } from 'common/bet' import { DAY_MS } from 'common/util/time' import { getInitialProbability, getProbability } from 'common/calculate' import { formatLargeNumber } from 'common/util/format' import { PseudoNumericContract } from 'common/contract' import { NUMERIC_GRAPH_COLOR } from 'common/numeric-constants' import { TooltipProps, getDateRange, getRightmostVisibleDate, formatDateInRange, } from '../helpers' import { HistoryPoint, SingleValueHistoryChart } from '../generic-charts' import { Row } from 'web/components/layout/row' import { Avatar } from 'web/components/avatar' const MARGIN = { top: 20, right: 10, bottom: 20, left: 40 } const MARGIN_X = MARGIN.left + MARGIN.right const MARGIN_Y = MARGIN.top + MARGIN.bottom // mqp: note that we have an idiosyncratic version of 'log scale' // contracts. the values are stored "linearly" and can include zero. // as a result, we have to do some weird-looking stuff in this code const getScaleP = (min: number, max: number, isLogScale: boolean) => { return (p: number) => isLogScale ? 10 ** (p * Math.log10(max - min + 1)) + min - 1 : p * (max - min) + min } const getBetPoints = (bets: Bet[], scaleP: (p: number) => number) => { return sortBy(bets, (b) => b.createdTime).map((b) => ({ x: new Date(b.createdTime), y: scaleP(b.probAfter), obj: b, })) } const PseudoNumericChartTooltip = ( props: TooltipProps> ) => { const { data, x, xScale } = props const [start, end] = xScale.domain() const d = xScale.invert(x) return ( {data.obj && } {formatDateInRange(d, start, end)} {formatLargeNumber(data.y)} ) } export const PseudoNumericContractChart = (props: { contract: PseudoNumericContract bets: Bet[] width: number height: number onMouseOver?: (p: HistoryPoint | undefined) => void }) => { const { contract, bets, width, height, onMouseOver } = props const { min, max, isLogScale } = contract const [start, end] = getDateRange(contract) const scaleP = useMemo( () => getScaleP(min, max, isLogScale), [min, max, isLogScale] ) const startP = scaleP(getInitialProbability(contract)) const endP = scaleP(getProbability(contract)) const betPoints = useMemo(() => getBetPoints(bets, scaleP), [bets, scaleP]) const data = useMemo( () => [ { x: new Date(start), y: startP }, ...betPoints, { x: new Date(end ?? Date.now() + DAY_MS), y: endP }, ], [betPoints, start, startP, end, endP] ) const rightmostDate = getRightmostVisibleDate( end, last(betPoints)?.x?.getTime(), Date.now() ) const visibleRange = [start, rightmostDate] const xScale = scaleTime(visibleRange, [0, width - MARGIN_X]) // clamp log scale to make sure zeroes go to the bottom const yScale = isLogScale ? scaleLog([Math.max(min, 1), max], [height - MARGIN_Y, 0]).clamp(true) : scaleLinear([min, max], [height - MARGIN_Y, 0]) return ( ) }