manifold/web/components/charts/contract/pseudo-numeric.tsx
Marshall Polaris bbce3e873e
Tooltip follows marker on charts with marker (#997)
* Renaming of some tooltip stuff

* Tooltip follows marker on single value history charts
2022-10-04 14:02:44 -07:00

111 lines
3.5 KiB
TypeScript

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<Date, HistoryPoint<Bet>>
) => {
const { data, x, xScale } = props
const [start, end] = xScale.domain()
const d = xScale.invert(x)
return (
<Row className="items-center gap-2">
{data.obj && <Avatar size="xs" avatarUrl={data.obj.userAvatarUrl} />}
<span className="font-semibold">{formatDateInRange(d, start, end)}</span>
<span className="text-greyscale-6">{formatLargeNumber(data.y)}</span>
</Row>
)
}
export const PseudoNumericContractChart = (props: {
contract: PseudoNumericContract
bets: Bet[]
width: number
height: number
onMouseOver?: (p: HistoryPoint<Bet> | 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 (
<SingleValueHistoryChart
w={width}
h={height}
margin={MARGIN}
xScale={xScale}
yScale={yScale}
data={data}
curve={curveStepAfter}
onMouseOver={onMouseOver}
Tooltip={PseudoNumericChartTooltip}
color={NUMERIC_GRAPH_COLOR}
/>
)
}