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import _ from 'underscore';
import { scaleLinear, scaleTime } from 'd3-scale';
import { line, area, curveLinear } from 'd3-shape';
import { extent, max, sum } from 'd3-array';
import { timeMinute, timeSecond } from 'd3-time';
import { capitalizeFirstCharacter } from '~/lib/utils/text_utility';
const d3 = {
scaleLinear,
scaleTime,
line,
area,
curveLinear,
extent,
max,
timeMinute,
timeSecond,
sum,
};
const defaultColorPalette = {
blue: ['#1f78d1', '#8fbce8'],
orange: ['#fc9403', '#feca81'],
red: ['#db3b21', '#ed9d90'],
green: ['#1aaa55', '#8dd5aa'],
purple: ['#6666c4', '#d1d1f0'],
};
const defaultColorOrder = ['blue', 'orange', 'red', 'green', 'purple'];
const defaultStyleOrder = ['solid', 'dashed', 'dotted'];
function queryTimeSeries(query, graphWidth, graphHeight, graphHeightOffset, xDom, yDom, lineStyle) {
let usedColors = [];
let renderCanary = false;
const timeSeriesParsed = [];
function pickColor(name) {
let pick;
if (name && defaultColorPalette[name]) {
pick = name;
} else {
const unusedColors = _.difference(defaultColorOrder, usedColors);
if (unusedColors.length > 0) {
[pick] = unusedColors;
} else {
usedColors = [];
[pick] = defaultColorOrder;
}
}
usedColors.push(pick);
return defaultColorPalette[pick];
}
function findByDate(series, time) {
const val = series.find(v => Math.abs(d3.timeSecond.count(time, v.time)) < 60);
if (val) {
return val.value;
}
return NaN;
}
// The timeseries data may have gaps in it
// but we need a regularly-spaced set of time/value pairs
// this gives us a complete range of one minute intervals
// offset the same amount as the original data
const [minX, maxX] = xDom;
const offset = d3.timeMinute(minX) - Number(minX);
const datesWithoutGaps = d3.timeSecond.every(60)
.range(d3.timeMinute.offset(minX, -1), maxX)
.map(d => d - offset);
query.result.forEach((timeSeries, timeSeriesNumber) => {
let metricTag = '';
let lineColor = '';
let areaColor = '';
let shouldRenderLegend = true;
const timeSeriesValues = timeSeries.values.map(d => d.value);
const maximumValue = d3.max(timeSeriesValues);
const accum = d3.sum(timeSeriesValues);
const trackName = capitalizeFirstCharacter(query.track ? query.track : 'Stable');
if (trackName === 'Canary') {
renderCanary = true;
}
const timeSeriesScaleX = d3.scaleTime().range([0, graphWidth - 70]);
const timeSeriesScaleY = d3.scaleLinear().range([graphHeight - graphHeightOffset, 0]);
timeSeriesScaleX.domain(xDom);
timeSeriesScaleX.ticks(d3.timeMinute, 60);
timeSeriesScaleY.domain(yDom);
const defined = d => !Number.isNaN(d.value) && d.value != null;
const lineFunction = d3
.line()
.defined(defined)
.curve(d3.curveLinear) // d3 v4 uses curbe instead of interpolate
.x(d => timeSeriesScaleX(d.time))
.y(d => timeSeriesScaleY(d.value));
const areaFunction = d3
.area()
.defined(defined)
.curve(d3.curveLinear)
.x(d => timeSeriesScaleX(d.time))
.y0(graphHeight - graphHeightOffset)
.y1(d => timeSeriesScaleY(d.value));
const timeSeriesMetricLabel = timeSeries.metric[Object.keys(timeSeries.metric)[0]];
const seriesCustomizationData =
query.series != null && _.findWhere(query.series[0].when, { value: timeSeriesMetricLabel });
if (seriesCustomizationData) {
metricTag = seriesCustomizationData.value || timeSeriesMetricLabel;
[lineColor, areaColor] = pickColor(seriesCustomizationData.color);
shouldRenderLegend = false;
} else {
metricTag = timeSeriesMetricLabel || query.label || `series ${timeSeriesNumber + 1}`;
[lineColor, areaColor] = pickColor();
if (timeSeriesParsed.length > 1) {
shouldRenderLegend = false;
}
}
if (!shouldRenderLegend) {
if (!timeSeriesParsed[0].tracksLegend) {
timeSeriesParsed[0].tracksLegend = [];
}
timeSeriesParsed[0].tracksLegend.push({
max: maximumValue,
average: accum / timeSeries.values.length,
lineStyle,
lineColor,
metricTag,
});
}
const values = datesWithoutGaps.map(time => ({
time,
value: findByDate(timeSeries.values, time),
}));
timeSeriesParsed.push({
linePath: lineFunction(values),
areaPath: areaFunction(values),
timeSeriesScaleX,
timeSeriesScaleY,
values: timeSeries.values,
max: maximumValue,
average: accum / timeSeries.values.length,
lineStyle,
lineColor,
areaColor,
metricTag,
trackName,
shouldRenderLegend,
renderCanary,
});
});
return timeSeriesParsed;
}
export default function createTimeSeries(queries, graphWidth, graphHeight, graphHeightOffset) {
const allValues = queries.reduce(
(allQueryResults, query) =>
allQueryResults.concat(
query.result.reduce((allResults, result) => allResults.concat(result.values), []),
),
[],
);
const xDom = d3.extent(allValues, d => d.time);
const yDom = [0, d3.max(allValues.map(d => d.value))];
return queries.reduce((series, query, index) => {
const lineStyle = defaultStyleOrder[index % defaultStyleOrder.length];
return series.concat(
queryTimeSeries(query, graphWidth, graphHeight, graphHeightOffset, xDom, yDom, lineStyle),
);
}, []);
}
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