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<script>
import produce from 'immer';
import { flattenDeep, isNumber } from 'lodash';
import { GlChartSeriesLabel } from '@gitlab/ui/dist/charts';
import { roundOffFloat } from '~/lib/utils/common_utils';
import { hexToRgb } from '~/lib/utils/color_utils';
import { areaOpacityValues, symbolSizes, colorValues, panelTypes } from '../../constants';
import { graphDataValidatorForAnomalyValues } from '../../utils';
import MonitorTimeSeriesChart from './time_series.vue';
/**
* Series indexes
*/
const METRIC = 0;
const UPPER = 1;
const LOWER = 2;
/**
* Boundary area appearance
*/
const AREA_COLOR = colorValues.anomalyAreaColor;
const AREA_OPACITY = areaOpacityValues.default;
const AREA_COLOR_RGBA = `rgba(${hexToRgb(AREA_COLOR).join(',')},${AREA_OPACITY})`;
/**
* The anomaly component highlights when a metric shows
* some anomalous behavior.
*
* It shows both a metric line and a boundary band in a
* time series chart, the boundary band shows the normal
* range of values the metric should take.
*
* This component accepts 3 metrics, which contain the
* "metric", "upper" limit and "lower" limit.
*
* The upper and lower series are "stacked areas" visually
* to create the boundary band, and if any "metric" value
* is outside this band, it is highlighted to warn users.
*
* The boundary band stack must be painted above the 0 line
* so the area is shown correctly. If any of the values of
* the data are negative, the chart data is shifted to be
* above 0 line.
*
* The data passed to the time series is will always be
* positive, but reformatted to show the original values of
* data.
*
*/
export default {
components: {
GlChartSeriesLabel,
MonitorTimeSeriesChart,
},
inheritAttrs: false,
props: {
graphData: {
type: Object,
required: true,
validator: graphDataValidatorForAnomalyValues,
},
},
computed: {
series() {
return this.graphData.metrics.map((metric) => {
const values = metric.result && metric.result[0] ? metric.result[0].values : [];
return {
label: metric.label,
// NaN values may disrupt avg., max. & min. calculations in the legend, filter them out
data: values.filter(([, value]) => !Number.isNaN(value)),
};
});
},
/**
* If any of the values of the data is negative, the
* chart data is shifted to the lowest value
*
* This offset is the lowest value.
*/
yOffset() {
const values = flattenDeep(this.series.map((ser) => ser.data.map(([, y]) => y)));
const min = values.length ? Math.floor(Math.min(...values)) : 0;
return min < 0 ? -min : 0;
},
metricData() {
const originalMetricQuery = this.graphData.metrics[0];
const metricQuery = produce(originalMetricQuery, (draftQuery) => {
// eslint-disable-next-line no-param-reassign
draftQuery.result[0].values = draftQuery.result[0].values.map(([x, y]) => [
x,
y + this.yOffset,
]);
});
return {
...this.graphData,
type: panelTypes.LINE_CHART,
metrics: [metricQuery],
};
},
metricSeriesConfig() {
return {
type: 'line',
symbol: 'circle',
symbolSize: (val, params) => {
if (this.isDatapointAnomaly(params.dataIndex)) {
return symbolSizes.anomaly;
}
// 0 causes echarts to throw an error, use small number instead
// see https://gitlab.com/gitlab-org/gitlab-ui/issues/423
return 0.001;
},
showSymbol: true,
itemStyle: {
color: (params) => {
if (this.isDatapointAnomaly(params.dataIndex)) {
return colorValues.anomalySymbol;
}
return colorValues.primaryColor;
},
},
};
},
chartOptions() {
const [, upperSeries, lowerSeries] = this.series;
const calcOffsetY = (data, offsetCallback) =>
data.map((value, dataIndex) => {
const [x, y] = value;
return [x, y + offsetCallback(dataIndex)];
});
const yAxisWithOffset = {
axisLabel: {
formatter: (num) => roundOffFloat(num - this.yOffset, 3).toString(),
},
};
/**
* Boundary is rendered by 2 series: An invisible
* series (opacity: 0) stacked on a visible one.
*
* Order is important, lower boundary is stacked
* *below* the upper boundary.
*/
const boundarySeries = [];
if (upperSeries.data.length && lowerSeries.data.length) {
// Lower boundary, plus the offset if negative values
boundarySeries.push(
this.makeBoundarySeries({
name: this.formatLegendLabel(lowerSeries),
data: calcOffsetY(lowerSeries.data, () => this.yOffset),
}),
);
// Upper boundary, minus the lower boundary
boundarySeries.push(
this.makeBoundarySeries({
name: this.formatLegendLabel(upperSeries),
data: calcOffsetY(upperSeries.data, (i) => -this.yValue(LOWER, i)),
areaStyle: {
color: AREA_COLOR,
opacity: AREA_OPACITY,
},
}),
);
}
return { yAxis: yAxisWithOffset, series: boundarySeries };
},
},
methods: {
formatLegendLabel(query) {
return query.label;
},
yValue(seriesIndex, dataIndex) {
const d = this.series[seriesIndex].data[dataIndex];
return d && d[1];
},
yValueFormatted(seriesIndex, dataIndex) {
const y = this.yValue(seriesIndex, dataIndex);
return isNumber(y) ? y.toFixed(3) : '';
},
isDatapointAnomaly(dataIndex) {
const yVal = this.yValue(METRIC, dataIndex);
const yUpper = this.yValue(UPPER, dataIndex);
const yLower = this.yValue(LOWER, dataIndex);
return (isNumber(yUpper) && yVal > yUpper) || (isNumber(yLower) && yVal < yLower);
},
makeBoundarySeries(series) {
const stackKey = 'anomaly-boundary-series-stack';
return {
type: 'line',
stack: stackKey,
lineStyle: {
width: 0,
color: AREA_COLOR_RGBA, // legend color
},
color: AREA_COLOR_RGBA, // tooltip color
symbol: 'none',
...series,
};
},
},
};
</script>
<template>
<monitor-time-series-chart
v-bind="$attrs"
:graph-data="metricData"
:option="chartOptions"
:series-config="metricSeriesConfig"
>
<slot></slot>
<template #tooltip-content="slotProps">
<div
v-for="(content, seriesIndex) in slotProps.tooltip.content"
:key="seriesIndex"
class="d-flex justify-content-between"
>
<gl-chart-series-label :color="content.color">
{{ content.name }}
</gl-chart-series-label>
<div class="gl-ml-7">
{{ yValueFormatted(seriesIndex, content.dataIndex) }}
</div>
</div>
</template>
</monitor-time-series-chart>
</template>
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