Merge branch '5366-display-anomaly-deviation-boundaries-on-dashboard-ee' into 'master'

Add anomaly chart component

See merge request gitlab-org/gitlab!16530

app/assets/javascripts/monitoring/components/charts/anomaly.vue

+<script>
+import { flatten, isNumber } from 'underscore';
+import { GlLineChart, GlChartSeriesLabel } from '@gitlab/ui/dist/charts';
+import { roundOffFloat } from '~/lib/utils/common_utils';
+import { hexToRgb } from '~/lib/utils/color_utils';
+import { areaOpacityValues, symbolSizes, colorValues } 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 queries, 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: {
+    GlLineChart,
+    GlChartSeriesLabel,
+    MonitorTimeSeriesChart,
+  },
+  inheritAttrs: false,
+  props: {
+    graphData: {
+      type: Object,
+      required: true,
+      validator: graphDataValidatorForAnomalyValues,
+    },
+  },
+  computed: {
+    series() {
+      return this.graphData.queries.map(query => {
+        const values = query.result[0] ? query.result[0].values : [];
+        return {
+          label: query.label,
+          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 = flatten(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.queries[0];
+
+      const metricQuery = { ...originalMetricQuery };
+      metricQuery.result[0].values = metricQuery.result[0].values.map(([x, y]) => [
+        x,
+        y + this.yOffset,
+      ]);
+      return {
+        ...this.graphData,
+        type: 'line-chart',
+        queries: [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 = {
+        name: this.yAxisLabel,
+        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 v-slot:tooltipContent="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="prepend-left-32">
+          {{ yValueFormatted(seriesIndex, content.dataIndex) }}
+        </div>
+      </div>
+    </template>
+  </monitor-time-series-chart>
+</template>

app/assets/javascripts/monitoring/components/charts/time_series.vue

 <script>
 import { s__, __ } from '~/locale';
+import _ from 'underscore';
 import { GlLink, GlButton, GlTooltip, GlResizeObserverDirective } from '@gitlab/ui';
 import { GlAreaChart, GlLineChart, GlChartSeriesLabel } from '@gitlab/ui/dist/charts';
 import dateFormat from 'dateformat';
 import { roundOffFloat } from '~/lib/utils/common_utils';
 import { getSvgIconPathContent } from '~/lib/utils/icon_utils';
 import Icon from '~/vue_shared/components/icon.vue';
-import { chartHeight, graphTypes, lineTypes, symbolSizes, dateFormats } from '../../constants';
+import {
+  chartHeight,
+  graphTypes,
+  lineTypes,
+  lineWidths,
+  symbolSizes,
+  dateFormats,
+} from '../../constants';
 import { makeDataSeries } from '~/helpers/monitor_helper';
 import { graphDataValidatorForValues } from '../../utils';
 
@@ -30,6 +38,16 @@ export default {
       required: true,
       validator: graphDataValidatorForValues.bind(null, false),
     },
+    option: {
+      type: Object,
+      required: false,
+      default: () => ({}),
+    },
+    seriesConfig: {
+      type: Object,
+      required: false,
+      default: () => ({}),
+    },
     deploymentData: {
       type: Array,
       required: false,
@@ -96,29 +114,35 @@ export default {
         const lineWidth =
           appearance && appearance.line && appearance.line.width
             ? appearance.line.width
-            : undefined;
+            : lineWidths.default;
         const areaStyle = {
           opacity:
             appearance && appearance.area && typeof appearance.area.opacity === 'number'
               ? appearance.area.opacity
               : undefined,
         };
-
         const series = makeDataSeries(query.result, {
           name: this.formatLegendLabel(query),
           lineStyle: {
             type: lineType,
             width: lineWidth,
+            color: this.primaryColor,
           },
           showSymbol: false,
           areaStyle: this.graphData.type === 'area-chart' ? areaStyle : undefined,
+          ...this.seriesConfig,
         });
 
         return acc.concat(series);
       }, []);
     },
+    chartOptionSeries() {
+      return (this.option.series || []).concat(this.scatterSeries ? [this.scatterSeries] : []);
+    },
     chartOptions() {
+      const option = _.omit(this.option, 'series');
       return {
+        series: this.chartOptionSeries,
         xAxis: {
           name: __('Time'),
           type: 'time',
@@ -135,8 +159,8 @@ export default {
             formatter: num => roundOffFloat(num, 3).toString(),
           },
         },
-        series: this.scatterSeries,
         dataZoom: [this.dataZoomConfig],
+        ...option,
       };
     },
     dataZoomConfig() {
@@ -144,6 +168,14 @@ export default {
 
       return handleIcon ? { handleIcon } : {};
     },
+    /**
+     * This method returns the earliest time value in all series of a chart.
+     * Takes a chart data with data to populate a timeseries.
+     * data should be an array of data points [t, y] where t is a ISO formatted date,
+     * and is sorted by t (time).
+     * @returns {(String|null)} earliest x value from all series, or null when the
+     * chart series data is empty.
+     */
     earliestDatapoint() {
       return this.chartData.reduce((acc, series) => {
         const { data } = series;
@@ -230,10 +262,11 @@ export default {
           this.tooltip.sha = deploy.sha.substring(0, 8);
           this.tooltip.commitUrl = deploy.commitUrl;
         } else {
-          const { seriesName, color } = dataPoint;
+          const { seriesName, color, dataIndex } = dataPoint;
           const value = yVal.toFixed(3);
           this.tooltip.content.push({
             name: seriesName,
+            dataIndex,
             value,
             color,
           });
@@ -306,23 +339,27 @@ export default {
       </template>
       <template v-else>
         <template slot="tooltipTitle">
-          <div class="text-nowrap">
-            {{ tooltip.title }}
-          </div>
+          <slot name="tooltipTitle">
+            <div class="text-nowrap">
+              {{ tooltip.title }}
+            </div>
+          </slot>
         </template>
         <template slot="tooltipContent">
-          <div
-            v-for="(content, key) in tooltip.content"
-            :key="key"
-            class="d-flex justify-content-between"
-          >
-            <gl-chart-series-label :color="isMultiSeries ? content.color : ''">
-              {{ content.name }}
-            </gl-chart-series-label>
-            <div class="prepend-left-32">
-              {{ content.value }}
+          <slot name="tooltipContent" :tooltip="tooltip">
+            <div
+              v-for="(content, key) in tooltip.content"
+              :key="key"
+              class="d-flex justify-content-between"
+            >
+              <gl-chart-series-label :color="isMultiSeries ? content.color : ''">
+                {{ content.name }}
+              </gl-chart-series-label>
+              <div class="prepend-left-32">
+                {{ content.value }}
+              </div>
             </div>
-          </div>
+          </slot>
         </template>
       </template>
     </component>

app/assets/javascripts/monitoring/components/panel_type.vue

@@ -11,6 +11,7 @@ import {
 } from '@gitlab/ui';
 import Icon from '~/vue_shared/components/icon.vue';
 import MonitorTimeSeriesChart from './charts/time_series.vue';
+import MonitorAnomalyChart from './charts/anomaly.vue';
 import MonitorSingleStatChart from './charts/single_stat.vue';
 import MonitorEmptyChart from './charts/empty_chart.vue';
 import TrackEventDirective from '~/vue_shared/directives/track_event';
@@ -19,7 +20,6 @@ import { downloadCSVOptions, generateLinkToChartOptions } from '../utils';
 export default {
   components: {
     MonitorSingleStatChart,
-    MonitorTimeSeriesChart,
     MonitorEmptyChart,
     Icon,
     GlDropdown,
@@ -67,6 +67,12 @@ export default {
       const data = new Blob([this.csvText], { type: 'text/plain' });
       return window.URL.createObjectURL(data);
     },
+    monitorChartComponent() {
+      if (this.isPanelType('anomaly-chart')) {
+        return MonitorAnomalyChart;
+      }
+      return MonitorTimeSeriesChart;
+    },
   },
   methods: {
     getGraphAlerts(queries) {
@@ -93,13 +99,14 @@ export default {
     v-if="isPanelType('single-stat') && graphDataHasMetrics"
     :graph-data="graphData"
   />
-  <monitor-time-series-chart
+  <component
+    :is="monitorChartComponent"
     v-else-if="graphDataHasMetrics"
     :graph-data="graphData"
     :deployment-data="deploymentData"
     :project-path="projectPath"
     :thresholds="getGraphAlertValues(graphData.queries)"
-    group-id="monitor-area-chart"
+    group-id="panel-type-chart"
   >
     <div class="d-flex align-items-center">
       <alert-widget
@@ -141,6 +148,6 @@ export default {
         </gl-dropdown-item>
       </gl-dropdown>
     </div>
-  </monitor-time-series-chart>
+  </component>
   <monitor-empty-chart v-else :graph-title="graphData.title" />
 </template>

app/assets/javascripts/monitoring/constants.js

@@ -14,13 +14,28 @@ export const graphTypes = {
 };
 
 export const symbolSizes = {
+  anomaly: 8,
   default: 14,
 };
 
+export const areaOpacityValues = {
+  default: 0.2,
+};
+
+export const colorValues = {
+  primaryColor: '#1f78d1', // $blue-500 (see variables.scss)
+  anomalySymbol: '#db3b21',
+  anomalyAreaColor: '#1f78d1',
+};
+
 export const lineTypes = {
   default: 'solid',
 };
 
+export const lineWidths = {
+  default: 2,
+};
+
 export const timeWindows = {
   thirtyMinutes: __('30 minutes'),
   threeHours: __('3 hours'),

app/assets/javascripts/monitoring/utils.js

@@ -131,4 +131,20 @@ export const downloadCSVOptions = title => {
   return { category, action, label: 'Chart title', property: title };
 };
 
+/**
+ * This function validates the graph data contains exactly 3 queries plus
+ * value validations from graphDataValidatorForValues.
+ * @param {Object} isValues
+ * @param {Object} graphData  the graph data response from a prometheus request
+ * @returns {boolean} true if the data is valid
+ */
+export const graphDataValidatorForAnomalyValues = graphData => {
+  const anomalySeriesCount = 3; // metric, upper, lower
+  return (
+    graphData.queries &&
+    graphData.queries.length === anomalySeriesCount &&
+    graphDataValidatorForValues(false, graphData)
+  );
+};
+
 export default {};

changelogs/unreleased/5366-display-anomaly-deviation-boundaries-on-dashboard-ce.yml

+---
+title: Added new chart component to display an anomaly boundary
+merge_request: 16530
+author:
+type: added

spec/frontend/monitoring/components/charts/anomaly_spec.js

+import Anomaly from '~/monitoring/components/charts/anomaly.vue';
+
+import { shallowMount } from '@vue/test-utils';
+import { colorValues } from '~/monitoring/constants';
+import {
+  anomalyDeploymentData,
+  mockProjectDir,
+  anomalyMockGraphData,
+  anomalyMockResultValues,
+} from '../../mock_data';
+import { TEST_HOST } from 'helpers/test_constants';
+import MonitorTimeSeriesChart from '~/monitoring/components/charts/time_series.vue';
+
+const mockWidgets = 'mockWidgets';
+const mockProjectPath = `${TEST_HOST}${mockProjectDir}`;
+
+jest.mock('~/lib/utils/icon_utils'); // mock getSvgIconPathContent
+
+const makeAnomalyGraphData = (datasetName, template = anomalyMockGraphData) => {
+  const queries = anomalyMockResultValues[datasetName].map((values, index) => ({
+    ...template.queries[index],
+    result: [
+      {
+        metrics: {},
+        values,
+      },
+    ],
+  }));
+  return { ...template, queries };
+};
+
+describe('Anomaly chart component', () => {
+  let wrapper;
+
+  const setupAnomalyChart = props => {
+    wrapper = shallowMount(Anomaly, {
+      propsData: { ...props },
+      slots: {
+        default: mockWidgets,
+      },
+      sync: false,
+    });
+  };
+  const findTimeSeries = () => wrapper.find(MonitorTimeSeriesChart);
+  const getTimeSeriesProps = () => findTimeSeries().props();
+
+  describe('wrapped monitor-time-series-chart component', () => {
+    const dataSetName = 'noAnomaly';
+    const dataSet = anomalyMockResultValues[dataSetName];
+    const inputThresholds = ['some threshold'];
+
+    beforeEach(() => {
+      setupAnomalyChart({
+        graphData: makeAnomalyGraphData(dataSetName),
+        deploymentData: anomalyDeploymentData,
+        thresholds: inputThresholds,
+        projectPath: mockProjectPath,
+      });
+    });
+
+    it('is a Vue instance', () => {
+      expect(findTimeSeries().exists()).toBe(true);
+      expect(findTimeSeries().isVueInstance()).toBe(true);
+    });
+
+    describe('receives props correctly', () => {
+      describe('graph-data', () => {
+        it('receives a single "metric" series', () => {
+          const { graphData } = getTimeSeriesProps();
+          expect(graphData.queries.length).toBe(1);
+        });
+
+        it('receives "metric" with all data', () => {
+          const { graphData } = getTimeSeriesProps();
+          const query = graphData.queries[0];
+          const expectedQuery = makeAnomalyGraphData(dataSetName).queries[0];
+          expect(query).toEqual(expectedQuery);
+        });
+
+        it('receives the "metric" results', () => {
+          const { graphData } = getTimeSeriesProps();
+          const { result } = graphData.queries[0];
+          const { values } = result[0];
+          const [metricDataset] = dataSet;
+          expect(values).toEqual(expect.any(Array));
+
+          values.forEach(([, y], index) => {
+            expect(y).toBeCloseTo(metricDataset[index][1]);
+          });
+        });
+      });
+
+      describe('option', () => {
+        let option;
+        let series;
+
+        beforeEach(() => {
+          ({ option } = getTimeSeriesProps());
+          ({ series } = option);
+        });
+
+        it('contains a boundary band', () => {
+          expect(series).toEqual(expect.any(Array));
+          expect(series.length).toEqual(2); // 1 upper + 1 lower boundaries
+          expect(series[0].stack).toEqual(series[1].stack);
+
+          series.forEach(s => {
+            expect(s.type).toBe('line');
+            expect(s.lineStyle.width).toBe(0);
+            expect(s.lineStyle.color).toMatch(/rgba\(.+\)/);
+            expect(s.lineStyle.color).toMatch(s.color);
+            expect(s.symbol).toEqual('none');
+          });
+        });
+
+        it('upper boundary values are stacked on top of lower boundary', () => {
+          const [lowerSeries, upperSeries] = series;
+          const [, upperDataset, lowerDataset] = dataSet;
+
+          lowerSeries.data.forEach(([, y], i) => {
+            expect(y).toBeCloseTo(lowerDataset[i][1]);
+          });
+
+          upperSeries.data.forEach(([, y], i) => {
+            expect(y).toBeCloseTo(upperDataset[i][1] - lowerDataset[i][1]);
+          });
+        });
+      });
+
+      describe('series-config', () => {
+        let seriesConfig;
+
+        beforeEach(() => {
+          ({ seriesConfig } = getTimeSeriesProps());
+        });
+
+        it('display symbols is enabled', () => {
+          expect(seriesConfig).toEqual(
+            expect.objectContaining({
+              type: 'line',
+              symbol: 'circle',
+              showSymbol: true,
+              symbolSize: expect.any(Function),
+              itemStyle: {
+                color: expect.any(Function),
+              },
+            }),
+          );
+        });
+        it('does not display anomalies', () => {
+          const { symbolSize, itemStyle } = seriesConfig;
+          const [metricDataset] = dataSet;
+
+          metricDataset.forEach((v, dataIndex) => {
+            const size = symbolSize(null, { dataIndex });
+            const color = itemStyle.color({ dataIndex });
+
+            // normal color and small size
+            expect(size).toBeCloseTo(0);
+            expect(color).toBe(colorValues.primaryColor);
+          });
+        });
+
+        it('can format y values (to use in tooltips)', () => {
+          expect(parseFloat(wrapper.vm.yValueFormatted(0, 0))).toEqual(dataSet[0][0][1]);
+          expect(parseFloat(wrapper.vm.yValueFormatted(1, 0))).toEqual(dataSet[1][0][1]);
+          expect(parseFloat(wrapper.vm.yValueFormatted(2, 0))).toEqual(dataSet[2][0][1]);
+        });
+      });
+
+      describe('inherited properties', () => {
+        it('"deployment-data" keeps the same value', () => {
+          const { deploymentData } = getTimeSeriesProps();
+          expect(deploymentData).toEqual(anomalyDeploymentData);
+        });
+        it('"thresholds" keeps the same value', () => {
+          const { thresholds } = getTimeSeriesProps();
+          expect(thresholds).toEqual(inputThresholds);
+        });
+        it('"projectPath" keeps the same value', () => {
+          const { projectPath } = getTimeSeriesProps();
+          expect(projectPath).toEqual(mockProjectPath);
+        });
+      });
+    });
+  });
+
+  describe('with no boundary data', () => {
+    const dataSetName = 'noBoundary';
+    const dataSet = anomalyMockResultValues[dataSetName];
+
+    beforeEach(() => {
+      setupAnomalyChart({
+        graphData: makeAnomalyGraphData(dataSetName),
+        deploymentData: anomalyDeploymentData,
+      });
+    });
+
+    describe('option', () => {
+      let option;
+      let series;
+
+      beforeEach(() => {
+        ({ option } = getTimeSeriesProps());
+        ({ series } = option);
+      });
+
+      it('does not display a boundary band', () => {
+        expect(series).toEqual(expect.any(Array));
+        expect(series.length).toEqual(0); // no boundaries
+      });
+
+      it('can format y values (to use in tooltips)', () => {
+        expect(parseFloat(wrapper.vm.yValueFormatted(0, 0))).toEqual(dataSet[0][0][1]);
+        expect(wrapper.vm.yValueFormatted(1, 0)).toBe(''); // missing boundary
+        expect(wrapper.vm.yValueFormatted(2, 0)).toBe(''); // missing boundary
+      });
+    });
+  });
+
+  describe('with one anomaly', () => {
+    const dataSetName = 'oneAnomaly';
+    const dataSet = anomalyMockResultValues[dataSetName];
+
+    beforeEach(() => {
+      setupAnomalyChart({
+        graphData: makeAnomalyGraphData(dataSetName),
+        deploymentData: anomalyDeploymentData,
+      });
+    });
+
+    describe('series-config', () => {
+      it('displays one anomaly', () => {
+        const { seriesConfig } = getTimeSeriesProps();
+        const { symbolSize, itemStyle } = seriesConfig;
+        const [metricDataset] = dataSet;
+
+        const bigDots = metricDataset.filter((v, dataIndex) => {
+          const size = symbolSize(null, { dataIndex });
+          return size > 0.1;
+        });
+        const redDots = metricDataset.filter((v, dataIndex) => {
+          const color = itemStyle.color({ dataIndex });
+          return color === colorValues.anomalySymbol;
+        });
+
+        expect(bigDots.length).toBe(1);
+        expect(redDots.length).toBe(1);
+      });
+    });
+  });
+
+  describe('with offset', () => {
+    const dataSetName = 'negativeBoundary';
+    const dataSet = anomalyMockResultValues[dataSetName];
+    const expectedOffset = 4; // Lowst point in mock data is -3.70, it gets rounded
+
+    beforeEach(() => {
+      setupAnomalyChart({
+        graphData: makeAnomalyGraphData(dataSetName),
+        deploymentData: anomalyDeploymentData,
+      });
+    });
+
+    describe('receives props correctly', () => {
+      describe('graph-data', () => {
+        it('receives a single "metric" series', () => {
+          const { graphData } = getTimeSeriesProps();
+          expect(graphData.queries.length).toBe(1);
+        });
+
+        it('receives "metric" results and applies the offset to them', () => {
+          const { graphData } = getTimeSeriesProps();
+          const { result } = graphData.queries[0];
+          const { values } = result[0];
+          const [metricDataset] = dataSet;
+          expect(values).toEqual(expect.any(Array));
+
+          values.forEach(([, y], index) => {
+            expect(y).toBeCloseTo(metricDataset[index][1] + expectedOffset);
+          });
+        });
+      });
+    });
+
+    describe('option', () => {
+      it('upper boundary values are stacked on top of lower boundary, plus the offset', () => {
+        const { option } = getTimeSeriesProps();
+        const { series } = option;
+        const [lowerSeries, upperSeries] = series;
+        const [, upperDataset, lowerDataset] = dataSet;
+
+        lowerSeries.data.forEach(([, y], i) => {
+          expect(y).toBeCloseTo(lowerDataset[i][1] + expectedOffset);
+        });
+
+        upperSeries.data.forEach(([, y], i) => {
+          expect(y).toBeCloseTo(upperDataset[i][1] - lowerDataset[i][1]);
+        });
+      });
+    });
+  });
+});

spec/frontend/monitoring/mock_data.js

+export const mockProjectDir = '/frontend-fixtures/environments-project';
+
+export const anomalyDeploymentData = [
+  {
+    id: 111,
+    iid: 3,
+    sha: 'f5bcd1d9dac6fa4137e2510b9ccd134ef2e84187',
+    ref: {
+      name: 'master',
+    },
+    created_at: '2019-08-19T22:00:00.000Z',
+    deployed_at: '2019-08-19T22:01:00.000Z',
+    tag: false,
+    'last?': true,
+  },
+  {
+    id: 110,
+    iid: 2,
+    sha: 'f5bcd1d9dac6fa4137e2510b9ccd134ef2e84187',
+    ref: {
+      name: 'master',
+    },
+    created_at: '2019-08-19T23:00:00.000Z',
+    deployed_at: '2019-08-19T23:00:00.000Z',
+    tag: false,
+    'last?': false,
+  },
+];
+
+export const anomalyMockResultValues = {
+  noAnomaly: [
+    [
+      ['2019-08-19T19:00:00.000Z', 1.25],
+      ['2019-08-19T20:00:00.000Z', 1.45],
+      ['2019-08-19T21:00:00.000Z', 1.55],
+      ['2019-08-19T22:00:00.000Z', 1.48],
+    ],
+    [
+      // upper boundary
+      ['2019-08-19T19:00:00.000Z', 2],
+      ['2019-08-19T20:00:00.000Z', 2.55],
+      ['2019-08-19T21:00:00.000Z', 2.65],
+      ['2019-08-19T22:00:00.000Z', 3.0],
+    ],
+    [
+      // lower boundary
+      ['2019-08-19T19:00:00.000Z', 0.45],
+      ['2019-08-19T20:00:00.000Z', 0.65],
+      ['2019-08-19T21:00:00.000Z', 0.7],
+      ['2019-08-19T22:00:00.000Z', 0.8],
+    ],
+  ],
+  noBoundary: [
+    [
+      ['2019-08-19T19:00:00.000Z', 1.25],
+      ['2019-08-19T20:00:00.000Z', 1.45],
+      ['2019-08-19T21:00:00.000Z', 1.55],
+      ['2019-08-19T22:00:00.000Z', 1.48],
+    ],
+    [
+      // empty upper boundary
+    ],
+    [
+      // empty lower boundary
+    ],
+  ],
+  oneAnomaly: [
+    [
+      ['2019-08-19T19:00:00.000Z', 1.25],
+      ['2019-08-19T20:00:00.000Z', 3.45], // anomaly
+      ['2019-08-19T21:00:00.000Z', 1.55],
+    ],
+    [
+      // upper boundary
+      ['2019-08-19T19:00:00.000Z', 2],
+      ['2019-08-19T20:00:00.000Z', 2.55],
+      ['2019-08-19T21:00:00.000Z', 2.65],
+    ],
+    [
+      // lower boundary
+      ['2019-08-19T19:00:00.000Z', 0.45],
+      ['2019-08-19T20:00:00.000Z', 0.65],
+      ['2019-08-19T21:00:00.000Z', 0.7],
+    ],
+  ],
+  negativeBoundary: [
+    [
+      ['2019-08-19T19:00:00.000Z', 1.25],
+      ['2019-08-19T20:00:00.000Z', 3.45], // anomaly
+      ['2019-08-19T21:00:00.000Z', 1.55],
+    ],
+    [
+      // upper boundary
+      ['2019-08-19T19:00:00.000Z', 2],
+      ['2019-08-19T20:00:00.000Z', 2.55],
+      ['2019-08-19T21:00:00.000Z', 2.65],
+    ],
+    [
+      // lower boundary
+      ['2019-08-19T19:00:00.000Z', -1.25],
+      ['2019-08-19T20:00:00.000Z', -2.65],
+      ['2019-08-19T21:00:00.000Z', -3.7], // lowest point
+    ],
+  ],
+};
+
+export const anomalyMockGraphData = {
+  title: 'Requests Per Second Mock Data',
+  type: 'anomaly-chart',
+  weight: 3,
+  metrics: [
+    // Not used
+  ],
+  queries: [
+    {
+      metricId: '90',
+      id: 'metric',
+      query_range: 'MOCK_PROMETHEUS_METRIC_QUERY_RANGE',
+      unit: 'RPS',
+      label: 'Metrics RPS',
+      metric_id: 90,
+      prometheus_endpoint_path: 'MOCK_METRIC_PEP',
+      result: [
+        {
+          metric: {},
+          values: [['2019-08-19T19:00:00.000Z', 0]],
+        },
+      ],
+    },
+    {
+      metricId: '91',
+      id: 'upper',
+      query_range: '...',
+      unit: 'RPS',
+      label: 'Upper Limit Metrics RPS',
+      metric_id: 91,
+      prometheus_endpoint_path: 'MOCK_UPPER_PEP',
+      result: [
+        {
+          metric: {},
+          values: [['2019-08-19T19:00:00.000Z', 0]],
+        },
+      ],
+    },
+    {
+      metricId: '92',
+      id: 'lower',
+      query_range: '...',
+      unit: 'RPS',
+      label: 'Lower Limit Metrics RPS',
+      metric_id: 92,
+      prometheus_endpoint_path: 'MOCK_LOWER_PEP',
+      result: [
+        {
+          metric: {},
+          values: [['2019-08-19T19:00:00.000Z', 0]],
+        },
+      ],
+    },
+  ],
+};

spec/javascripts/monitoring/charts/time_series_spec.js

@@ -29,7 +29,6 @@ describe('Time series component', () => {
       shallowMount(TimeSeries, {
         propsData: {
           graphData: { ...graphData, type },
-          containerWidth: 0,
           deploymentData: store.state.monitoringDashboard.deploymentData,
           projectPath,
         },
@@ -82,7 +81,7 @@ describe('Time series component', () => {
               seriesName: timeSeriesChart.vm.chartData[0].name,
               componentSubType: type,
               value: [mockDate, 5.55555],
-              seriesIndex: 0,
+              dataIndex: 0,
             },
           ],
           value: mockDate,
@@ -101,11 +100,15 @@ describe('Time series component', () => {
           it('formats tooltip content', () => {
             const name = 'Core Usage';
             const value = '5.556';
+            const dataIndex = 0;
             const seriesLabel = timeSeriesChart.find(GlChartSeriesLabel);
 
             expect(seriesLabel.vm.color).toBe('');
             expect(shallowWrapperContainsSlotText(seriesLabel, 'default', name)).toBe(true);
-            expect(timeSeriesChart.vm.tooltip.content).toEqual([{ name, value, color: undefined }]);
+            expect(timeSeriesChart.vm.tooltip.content).toEqual([
+              { name, value, dataIndex, color: undefined },
+            ]);
+
             expect(
               shallowWrapperContainsSlotText(
                 timeSeriesChart.find(GlAreaChart),
@@ -212,6 +215,39 @@ describe('Time series component', () => {
       });
 
       describe('chartOptions', () => {
+        describe('are extended by `option`', () => {
+          const mockSeriesName = 'Extra series 1';
+          const mockOption = {
+            option1: 'option1',
+            option2: 'option2',
+          };
+
+          it('arbitrary options', () => {
+            timeSeriesChart.setProps({
+              option: mockOption,
+            });
+
+            expect(timeSeriesChart.vm.chartOptions).toEqual(jasmine.objectContaining(mockOption));
+          });
+
+          it('additional series', () => {
+            timeSeriesChart.setProps({
+              option: {
+                series: [
+                  {
+                    name: mockSeriesName,
+                  },
+                ],
+              },
+            });
+
+            const optionSeries = timeSeriesChart.vm.chartOptions.series;
+
+            expect(optionSeries.length).toEqual(2);
+            expect(optionSeries[0].name).toEqual(mockSeriesName);
+          });
+        });
+
         describe('yAxis formatter', () => {
           let format;
 

spec/javascripts/monitoring/mock_data.js

+import { anomalyMockGraphData as importedAnomalyMockGraphData } from '../../frontend/monitoring/mock_data';
+
+export const anomalyMockGraphData = importedAnomalyMockGraphData;
+
 export const mockApiEndpoint = `${gl.TEST_HOST}/monitoring/mock`;
 
 export const mockProjectPath = '/frontend-fixtures/environments-project';
@@ -975,7 +979,7 @@ export const graphDataPrometheusQuery = {
 
 export const graphDataPrometheusQueryRange = {
   title: 'Super Chart A1',
-  type: 'area',
+  type: 'area-chart',
   weight: 2,
   metrics: [
     {

spec/javascripts/monitoring/panel_type_spec.js

@@ -2,7 +2,9 @@ import { shallowMount } from '@vue/test-utils';
 import PanelType from '~/monitoring/components/panel_type.vue';
 import EmptyChart from '~/monitoring/components/charts/empty_chart.vue';
 import TimeSeriesChart from '~/monitoring/components/charts/time_series.vue';
+import AnomalyChart from '~/monitoring/components/charts/anomaly.vue';
 import { graphDataPrometheusQueryRange } from './mock_data';
+import { anomalyMockGraphData } from '../../frontend/monitoring/mock_data';
 import { createStore } from '~/monitoring/stores';
 
 describe('Panel Type component', () => {
@@ -49,17 +51,20 @@ describe('Panel Type component', () => {
 
   describe('when Graph data is available', () => {
     const exampleText = 'example_text';
+    const propsData = {
+      clipboardText: exampleText,
+      dashboardWidth,
+      graphData: graphDataPrometheusQueryRange,
+    };
 
-    beforeEach(() => {
+    beforeEach(done => {
       store = createStore();
       panelType = shallowMount(PanelType, {
-        propsData: {
-          clipboardText: exampleText,
-          dashboardWidth,
-          graphData: graphDataPrometheusQueryRange,
-        },
+        propsData,
+        sync: false,
         store,
       });
+      panelType.vm.$nextTick(done);
     });
 
     describe('Time Series Chart panel type', () => {
@@ -75,5 +80,19 @@ describe('Panel Type component', () => {
         expect(clipboardText()).toBe(exampleText);
       });
     });
+
+    describe('Anomaly Chart panel type', () => {
+      beforeEach(done => {
+        panelType.setProps({
+          graphData: anomalyMockGraphData,
+        });
+        panelType.vm.$nextTick(done);
+      });
+
+      it('is rendered with an anomaly chart', () => {
+        expect(panelType.find(AnomalyChart).isVueInstance()).toBe(true);
+        expect(panelType.find(AnomalyChart).exists()).toBe(true);
+      });
+    });
   });
 });

spec/javascripts/monitoring/utils_spec.js

@@ -7,9 +7,14 @@ import {
   stringToISODate,
   ISODateToString,
   isValidDate,
+  graphDataValidatorForAnomalyValues,
 } from '~/monitoring/utils';
 import { timeWindows, timeWindowsKeyNames } from '~/monitoring/constants';
-import { graphDataPrometheusQuery, graphDataPrometheusQueryRange } from './mock_data';
+import {
+  graphDataPrometheusQuery,
+  graphDataPrometheusQueryRange,
+  anomalyMockGraphData,
+} from './mock_data';
 
 describe('getTimeDiff', () => {
   function secondsBetween({ start, end }) {
@@ -307,3 +312,34 @@ describe('isDateTimePickerInputValid', () => {
     });
   });
 });
+
+describe('graphDataValidatorForAnomalyValues', () => {
+  let oneQuery;
+  let threeQueries;
+  let fourQueries;
+  beforeEach(() => {
+    oneQuery = graphDataPrometheusQuery;
+    threeQueries = anomalyMockGraphData;
+
+    const queries = [...threeQueries.queries];
+    queries.push(threeQueries.queries[0]);
+    fourQueries = {
+      ...anomalyMockGraphData,
+      queries,
+    };
+  });
+  /*
+   * Anomaly charts can accept results for exactly 3 queries,
+   */
+  it('validates passes with the right query format', () => {
+    expect(graphDataValidatorForAnomalyValues(threeQueries)).toBe(true);
+  });
+
+  it('validation fails for wrong format, 1 metric', () => {
+    expect(graphDataValidatorForAnomalyValues(oneQuery)).toBe(false);
+  });
+
+  it('validation fails for wrong format, more than 3 metrics', () => {
+    expect(graphDataValidatorForAnomalyValues(fourQueries)).toBe(false);
+  });
+});