111 lines
4.4 KiB
TypeScript
111 lines
4.4 KiB
TypeScript
'use client';
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import { LineChart, Line, YAxis, XAxis, CartesianGrid, Tooltip, Area, Label } from 'recharts';
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import spacetime from 'spacetime';
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import regression from 'regression';
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import { PureComponent } from 'react';
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class CustomizedAxisTick extends PureComponent {
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render() {
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const { x, y, stroke, payload } = this.props;
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if (spacetime(payload.value).day() == 1) {
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return (
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<g transform={`translate(${x},${y})`}>
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<text x={0} y={0} dy={16} textAnchor="end" fill="#666" transform="rotate(-35)">
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{spacetime(payload.value).format('{date}')}
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</text>
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</g>
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);
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}
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}
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}
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interface DataPoint {
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id: string; // measurement.id
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datetime: Date;
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value: number;
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unit: string;
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};
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function polynomialTrendline(data: DataPoint[], degree: number) {
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// Map your data to the form required by regression-js: [x, y]
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// Here we convert datetime to a numeric value (e.g., milliseconds since epoch)
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const regressionData = data.map((dp, i) => [i, dp.value]) as [number, number][];
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const result = regression.polynomial(regressionData, { order: degree });
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// result.equation contains the polynomial coefficients,
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// and result.predict(x) returns the predicted y for a given x value.
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return result;
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}
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function formatXAxis(tickItem: [number, number]) {
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return spacetime(tickItem).format('{date}');
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}
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function yAxisTicks(data: DataPoint[]) {
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const bounds = data.map(dp => Math.round(dp.value)).sort().filter((_v, i, a) => i === 0 || i === a.length - 1);
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const lowerBound = bounds[0] - (bounds[0] % 2);
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const upperBound = bounds[1] + (2 - bounds[1] % 2);
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// Create an array of ticks from lowerBound to upperBound in increments of 2
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return Array.from({ length: (upperBound - lowerBound) / 2 + 1 }, (_, i) => lowerBound + 2 * i);
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}
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function xAxisTicks(data: DataPoint[]) {
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const bounds = data.sort().filter((_v, i, a) => i === 0 || i === a.length - 1).map(dp => spacetime(dp.datetime));
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// Create array from bounds[0] to bounds[1] showing only Mondays
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const ticks = [];
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let tick = bounds[0].startOf('week').add(1, 'day');
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while (tick.isBefore(bounds[1])) {
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ticks.push(tick.format('{date}'));
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tick = tick.add(2, 'day');
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}
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console.log(ticks);
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return ticks;
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}
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export default function TimeseriesChart({ data, timeseriesName }: { data: DataPoint[], timeseriesName: string }) {
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const unit = data[0] ? data[0].unit : '';
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const polyResult = polynomialTrendline(data, 1)// 2 for quadratic
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const dataWithFit = (data.map((dp, i) => {
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return {
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datetime: dp.datetime,
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value: dp.value,
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smoothed: polyResult.predict(i)[1],
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};
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}));
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return (
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<div className='flex flex-col items-center'>
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<h2>
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Trend: {(7 * polyResult.equation[0]).toFixed(1)} {unit}/week
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</h2>
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<LineChart width={800} height={400} data={dataWithFit}>
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<CartesianGrid stroke="#999" />
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<Tooltip
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labelFormatter={(d) => `${spacetime(d).format("{month-short} {date}, {hour}{ampm}")}`}
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labelStyle={{ color: 'white' }}
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formatter={(value, name, props) => [value, name === 'smoothed' ? 'Trend' : timeseriesName]}
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contentStyle={{ backgroundColor: 'hsl(var(--border))', color: 'black' }}
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/>
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<XAxis
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dataKey="datetime"
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type='number'
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height={80}
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tickMargin={10} tickSize={10}
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domain={['dataMin', 'dataMax']}
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tick={<CustomizedAxisTick />}
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interval={0}
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// tickFormatter={formatXAxis}
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/>
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<YAxis unit={` ${unit}`} width={120}
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domain={yAxisTicks(data).filter((v, i) => i === 0 || i === yAxisTicks(data).length - 1)}
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allowDecimals={false}
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ticks={yAxisTicks(data)} />
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<Line type="natural" dataKey="value" stroke="white" activeDot={{ stroke: 'pink', strokeWidth: 2, r: 5 }} dot={{ fill: 'red', stroke: 'red', strokeWidth: 1 }} />
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<Line type="natural" dataKey="smoothed" stroke={polyResult.equation[0] > 0 ? "red" : "green"} dot={false} />
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</LineChart>
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</div>
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);
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}
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