116 lines
3.6 KiB
TypeScript
116 lines
3.6 KiB
TypeScript
import { useMemo, useRef } from 'react'
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import { last, sortBy } from 'lodash'
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import { scaleTime, scaleLog, scaleLinear } from 'd3-scale'
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import { Bet } from 'common/bet'
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import { DAY_MS } from 'common/util/time'
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import { getInitialProbability, getProbability } from 'common/calculate'
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import { formatLargeNumber } from 'common/util/format'
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import { PseudoNumericContract } from 'common/contract'
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import { NUMERIC_GRAPH_COLOR } from 'common/numeric-constants'
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import { useIsMobile } from 'web/hooks/use-is-mobile'
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import {
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MARGIN_X,
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MARGIN_Y,
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getDateRange,
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getRightmostVisibleDate,
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formatDateInRange,
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} from '../helpers'
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import {
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SingleValueHistoryChart,
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SingleValueHistoryTooltipProps,
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} from '../generic-charts'
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import { useElementWidth } from 'web/hooks/use-element-width'
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import { Row } from 'web/components/layout/row'
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import { Avatar } from 'web/components/avatar'
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// mqp: note that we have an idiosyncratic version of 'log scale'
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// contracts. the values are stored "linearly" and can include zero.
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// as a result, we have to do some weird-looking stuff in this code
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const getScaleP = (min: number, max: number, isLogScale: boolean) => {
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return (p: number) =>
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isLogScale
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? 10 ** (p * Math.log10(max - min + 1)) + min - 1
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: p * (max - min) + min
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}
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const getBetPoints = (bets: Bet[], scaleP: (p: number) => number) => {
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return sortBy(bets, (b) => b.createdTime).map((b) => ({
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x: new Date(b.createdTime),
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y: scaleP(b.probAfter),
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datum: b,
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}))
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}
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const PseudoNumericChartTooltip = (
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props: SingleValueHistoryTooltipProps<Bet>
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) => {
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const { p, xScale } = props
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const { x, y, datum } = p
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const [start, end] = xScale.domain()
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return (
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<Row className="items-center gap-2 text-sm">
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{datum && <Avatar size="xs" avatarUrl={datum.userAvatarUrl} />}
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<strong>{formatLargeNumber(y)}</strong>
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<span>{formatDateInRange(x, start, end)}</span>
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</Row>
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)
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}
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export const PseudoNumericContractChart = (props: {
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contract: PseudoNumericContract
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bets: Bet[]
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height?: number
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}) => {
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const { contract, bets } = props
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const { min, max, isLogScale } = contract
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const [startDate, endDate] = getDateRange(contract)
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const scaleP = useMemo(
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() => getScaleP(min, max, isLogScale),
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[min, max, isLogScale]
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)
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const startP = scaleP(getInitialProbability(contract))
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const endP = scaleP(getProbability(contract))
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const betPoints = useMemo(() => getBetPoints(bets, scaleP), [bets, scaleP])
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const data = useMemo(
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() => [
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{ x: startDate, y: startP },
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...betPoints,
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{ x: endDate ?? new Date(Date.now() + DAY_MS), y: endP },
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],
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[betPoints, startDate, startP, endDate, endP]
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)
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const rightmostDate = getRightmostVisibleDate(
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endDate,
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last(betPoints)?.x,
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new Date(Date.now())
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)
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const visibleRange = [startDate, rightmostDate]
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const isMobile = useIsMobile(800)
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const containerRef = useRef<HTMLDivElement>(null)
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const width = useElementWidth(containerRef) ?? 0
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const height = props.height ?? (isMobile ? 150 : 250)
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const xScale = scaleTime(visibleRange, [0, width - MARGIN_X])
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// clamp log scale to make sure zeroes go to the bottom
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const yScale = isLogScale
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? scaleLog([Math.max(min, 1), max], [height - MARGIN_Y, 0]).clamp(true)
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: scaleLinear([min, max], [height - MARGIN_Y, 0])
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return (
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<div ref={containerRef}>
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{width > 0 && (
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<SingleValueHistoryChart
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w={width}
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h={height}
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xScale={xScale}
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yScale={yScale}
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data={data}
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Tooltip={PseudoNumericChartTooltip}
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color={NUMERIC_GRAPH_COLOR}
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/>
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)}
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</div>
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)
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}
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