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* Add and configure eslint-plugin-import * Fix the lint:ts npm command * Autofix + prettier all the files * Manually fix remaining files * Move jquery code in jest-setup to external file to safely reorder imports * Resolve issue caused by circular dependencies within Prometheus * Update .betterer.results * Fix missing // @ts-ignore * ignore iconBundle.ts * Fix missing // @ts-ignore
867 lines
27 KiB
TypeScript
867 lines
27 KiB
TypeScript
import * as d3 from 'd3';
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import $ from 'jquery';
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import { find, isEmpty, isNaN, isNil, isString, map, max, min, toNumber } from 'lodash';
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import {
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dateTimeFormat,
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formattedValueToString,
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getColorForTheme,
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getValueFormat,
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LegacyGraphHoverClearEvent,
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LegacyGraphHoverEvent,
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PanelEvents,
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toUtc,
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} from '@grafana/data';
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import { graphTimeFormat } from '@grafana/ui';
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import { config } from 'app/core/config';
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import { contextSrv } from 'app/core/core';
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import * as ticksUtils from 'app/core/utils/ticks';
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import { getColorScale, getOpacityScale } from './color_scale';
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import { mergeZeroBuckets } from './heatmap_data_converter';
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import { HeatmapTooltip } from './heatmap_tooltip';
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const MIN_CARD_SIZE = 1,
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CARD_PADDING = 1,
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CARD_ROUND = 0,
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DATA_RANGE_WIDING_FACTOR = 1.2,
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DEFAULT_X_TICK_SIZE_PX = 100,
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DEFAULT_Y_TICK_SIZE_PX = 22.5,
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X_AXIS_TICK_PADDING = 10,
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Y_AXIS_TICK_PADDING = 5,
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MIN_SELECTION_WIDTH = 2;
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export default function rendering(scope: any, elem: any, attrs: any, ctrl: any) {
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return new HeatmapRenderer(scope, elem, attrs, ctrl);
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}
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export class HeatmapRenderer {
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width = 200;
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height = 200;
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yScale: any;
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xScale: any;
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chartWidth = 0;
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chartHeight = 0;
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chartTop = 0;
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chartBottom = 0;
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yAxisWidth = 0;
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xAxisHeight = 0;
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cardPadding = 0;
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cardRound = 0;
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cardWidth = 0;
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cardHeight = 0;
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colorScale: any;
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opacityScale: any;
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mouseUpHandler: any;
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data: any;
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panel: any;
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$heatmap: any;
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tooltip: HeatmapTooltip;
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heatmap: any;
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timeRange: any;
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selection: any;
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padding: any;
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margin: any;
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dataRangeWidingFactor: number;
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hoverEvent: LegacyGraphHoverEvent;
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constructor(private scope: any, private elem: any, attrs: any, private ctrl: any) {
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// $heatmap is JQuery object, but heatmap is D3
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this.$heatmap = this.elem.find('.heatmap-panel');
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this.tooltip = new HeatmapTooltip(this.$heatmap, this.scope);
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this.selection = {
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active: false,
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x1: -1,
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x2: -1,
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};
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this.padding = { left: 0, right: 0, top: 0, bottom: 0 };
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this.margin = { left: 25, right: 15, top: 10, bottom: 20 };
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this.dataRangeWidingFactor = DATA_RANGE_WIDING_FACTOR;
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this.ctrl.events.on(PanelEvents.render, this.onRender.bind(this));
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this.ctrl.tickValueFormatter = this.tickValueFormatter.bind(this);
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/////////////////////////////
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// Selection and crosshair //
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/////////////////////////////
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// Shared crosshair and tooltip
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this.ctrl.dashboard.events.on(LegacyGraphHoverEvent.type, this.onGraphHover.bind(this), this.scope);
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this.ctrl.dashboard.events.on(LegacyGraphHoverClearEvent.type, this.onGraphHoverClear.bind(this), this.scope);
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// Register selection listeners
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this.$heatmap.on('mousedown', this.onMouseDown.bind(this));
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this.$heatmap.on('mousemove', this.onMouseMove.bind(this));
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this.$heatmap.on('mouseleave', this.onMouseLeave.bind(this));
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this.hoverEvent = new LegacyGraphHoverEvent({ pos: {}, point: {}, panel: this.panel });
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}
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onGraphHoverClear() {
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this.clearCrosshair();
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}
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onGraphHover(event: { pos: any }) {
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this.drawSharedCrosshair(event.pos);
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}
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onRender() {
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this.render();
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this.ctrl.renderingCompleted();
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}
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setElementHeight() {
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try {
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let height = this.ctrl.height || this.panel.height || this.ctrl.row.height;
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if (isString(height)) {
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height = parseInt(height.replace('px', ''), 10);
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}
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height -= this.panel.legend.show ? 28 : 11; // bottom padding and space for legend
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this.$heatmap.css('height', height + 'px');
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return true;
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} catch (e) {
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// IE throws errors sometimes
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return false;
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}
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}
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getYAxisWidth(elem: any) {
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const panelYAxisWidth = this.getPanelYAxisWidth();
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if (panelYAxisWidth !== null) {
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return panelYAxisWidth + Y_AXIS_TICK_PADDING;
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}
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const axisText = elem.selectAll('.axis-y text').nodes();
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const maxTextWidth = max(
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map(axisText, (text) => {
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// Use SVG getBBox method
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return text.getBBox().width;
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})
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);
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return maxTextWidth;
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}
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getXAxisHeight(elem: any) {
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const axisLine = elem.select('.axis-x line');
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if (!axisLine.empty()) {
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const axisLinePosition = parseFloat(elem.select('.axis-x line').attr('y2'));
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const canvasWidth = parseFloat(elem.attr('height'));
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return canvasWidth - axisLinePosition;
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} else {
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// Default height
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return 30;
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}
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}
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addXAxis() {
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this.scope.xScale = this.xScale = d3
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.scaleTime()
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.domain([this.timeRange.from, this.timeRange.to])
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.range([0, this.chartWidth]);
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const ticks = this.chartWidth / DEFAULT_X_TICK_SIZE_PX;
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const format = graphTimeFormat(ticks, this.timeRange.from.valueOf(), this.timeRange.to.valueOf());
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const timeZone = this.ctrl.dashboard.getTimezone();
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const formatter = (date: d3.AxisDomain) =>
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dateTimeFormat(date.valueOf(), {
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format: format,
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timeZone: timeZone,
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});
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const xAxis = d3
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.axisBottom(this.xScale)
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.ticks(ticks)
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.tickFormat(formatter)
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.tickPadding(X_AXIS_TICK_PADDING)
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.tickSize(this.chartHeight);
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const posY = this.margin.top;
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const posX = this.yAxisWidth;
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this.heatmap
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.append('g')
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.attr('class', 'axis axis-x')
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.attr('transform', 'translate(' + posX + ',' + posY + ')')
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.call(xAxis);
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// Remove horizontal line in the top of axis labels (called domain in d3)
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this.heatmap.select('.axis-x').select('.domain').remove();
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}
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addYAxis() {
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let ticks = Math.ceil(this.chartHeight / DEFAULT_Y_TICK_SIZE_PX);
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let tickInterval = ticksUtils.tickStep(this.data.heatmapStats.min, this.data.heatmapStats.max, ticks);
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let { yMin, yMax } = this.wideYAxisRange(this.data.heatmapStats.min, this.data.heatmapStats.max, tickInterval);
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// Rewrite min and max if it have been set explicitly
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yMin = this.panel.yAxis.min !== null ? this.panel.yAxis.min : yMin;
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yMax = this.panel.yAxis.max !== null ? this.panel.yAxis.max : yMax;
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// Adjust ticks after Y range widening
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tickInterval = ticksUtils.tickStep(yMin, yMax, ticks);
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ticks = Math.ceil((yMax - yMin) / tickInterval);
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const decimalsAuto = ticksUtils.getPrecision(tickInterval);
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let decimals = this.panel.yAxis.decimals === null ? decimalsAuto : this.panel.yAxis.decimals;
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// Calculate scaledDecimals for log scales using tick size (as in jquery.flot.js)
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const flotTickSize = ticksUtils.getFlotTickSize(yMin, yMax, ticks, decimalsAuto);
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const scaledDecimals = ticksUtils.getScaledDecimals(decimals, flotTickSize);
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this.ctrl.decimals = decimals;
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this.ctrl.scaledDecimals = scaledDecimals;
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// Set default Y min and max if no data
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if (isEmpty(this.data.buckets)) {
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yMax = 1;
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yMin = -1;
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ticks = 3;
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decimals = 1;
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}
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this.data.yAxis = {
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min: yMin,
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max: yMax,
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ticks: ticks,
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};
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this.scope.yScale = this.yScale = d3.scaleLinear().domain([yMin, yMax]).range([this.chartHeight, 0]);
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const yAxis = d3
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.axisLeft(this.yScale)
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.ticks(ticks)
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.tickFormat(this.tickValueFormatter(decimals, scaledDecimals))
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.tickSizeInner(0 - this.width)
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.tickSizeOuter(0)
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.tickPadding(Y_AXIS_TICK_PADDING);
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this.heatmap.append('g').attr('class', 'axis axis-y').call(yAxis);
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// Calculate Y axis width first, then move axis into visible area
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const posY = this.margin.top;
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const posX = this.getYAxisWidth(this.heatmap) + Y_AXIS_TICK_PADDING;
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this.heatmap.select('.axis-y').attr('transform', 'translate(' + posX + ',' + posY + ')');
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// Remove vertical line in the right of axis labels (called domain in d3)
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this.heatmap.select('.axis-y').select('.domain').remove();
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}
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// Wide Y values range and anjust to bucket size
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wideYAxisRange(min: number, max: number, tickInterval: number) {
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const yWiding = (max * (this.dataRangeWidingFactor - 1) - min * (this.dataRangeWidingFactor - 1)) / 2;
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let yMin, yMax;
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if (tickInterval === 0) {
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yMax = max * this.dataRangeWidingFactor;
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yMin = min - min * (this.dataRangeWidingFactor - 1);
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} else {
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yMax = Math.ceil((max + yWiding) / tickInterval) * tickInterval;
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yMin = Math.floor((min - yWiding) / tickInterval) * tickInterval;
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}
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// Don't wide axis below 0 if all values are positive
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if (min >= 0 && yMin < 0) {
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yMin = 0;
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}
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return { yMin, yMax };
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}
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addLogYAxis() {
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const logBase = this.panel.yAxis.logBase;
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let { yMin, yMax } = this.adjustLogRange(this.data.heatmapStats.minLog, this.data.heatmapStats.max, logBase);
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yMin =
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this.panel.yAxis.min && this.panel.yAxis.min !== '0' ? this.adjustLogMin(this.panel.yAxis.min, logBase) : yMin;
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yMax = this.panel.yAxis.max !== null ? this.adjustLogMax(this.panel.yAxis.max, logBase) : yMax;
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// Set default Y min and max if no data
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if (isEmpty(this.data.buckets)) {
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yMax = Math.pow(logBase, 2);
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yMin = 1;
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}
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this.scope.yScale = this.yScale = d3
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.scaleLog()
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.base(this.panel.yAxis.logBase)
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.domain([yMin, yMax])
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.range([this.chartHeight, 0]);
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const domain = this.yScale.domain();
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const tickValues = this.logScaleTickValues(domain, logBase);
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const decimalsAuto = ticksUtils.getPrecision(yMin);
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const decimals = this.panel.yAxis.decimals || decimalsAuto;
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// Calculate scaledDecimals for log scales using tick size (as in jquery.flot.js)
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const flotTickSize = ticksUtils.getFlotTickSize(yMin, yMax, tickValues.length, decimalsAuto);
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const scaledDecimals = ticksUtils.getScaledDecimals(decimals, flotTickSize);
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this.ctrl.decimals = decimals;
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this.ctrl.scaledDecimals = scaledDecimals;
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this.data.yAxis = {
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min: yMin,
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max: yMax,
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ticks: tickValues.length,
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};
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const yAxis = d3
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.axisLeft(this.yScale)
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.tickValues(tickValues)
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.tickFormat(this.tickValueFormatter(decimals, scaledDecimals))
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.tickSizeInner(0 - this.width)
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.tickSizeOuter(0)
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.tickPadding(Y_AXIS_TICK_PADDING);
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this.heatmap.append('g').attr('class', 'axis axis-y').call(yAxis);
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// Calculate Y axis width first, then move axis into visible area
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const posY = this.margin.top;
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const posX = this.getYAxisWidth(this.heatmap) + Y_AXIS_TICK_PADDING;
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this.heatmap.select('.axis-y').attr('transform', 'translate(' + posX + ',' + posY + ')');
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// Set first tick as pseudo 0
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if (yMin < 1) {
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this.heatmap.select('.axis-y').select('.tick text').text('0');
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}
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// Remove vertical line in the right of axis labels (called domain in d3)
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this.heatmap.select('.axis-y').select('.domain').remove();
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}
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addYAxisFromBuckets() {
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const tsBuckets = this.data.tsBuckets;
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let ticks = Math.ceil(this.chartHeight / DEFAULT_Y_TICK_SIZE_PX);
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this.scope.yScale = this.yScale = d3
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.scaleLinear()
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.domain([0, tsBuckets.length - 1])
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.range([this.chartHeight, 0]);
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const tickValues = map(tsBuckets, (b, i) => i);
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const decimalsAuto = max(map(tsBuckets, ticksUtils.getStringPrecision));
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const decimals = this.panel.yAxis.decimals === null ? decimalsAuto : this.panel.yAxis.decimals;
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this.ctrl.decimals = decimals;
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const tickValueFormatter = this.tickValueFormatter.bind(this);
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function tickFormatter(yAxisWidth: number | null) {
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return function (valIndex: d3.AxisDomain) {
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let valueFormatted = tsBuckets[valIndex.valueOf()];
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if (!isNaN(toNumber(valueFormatted)) && valueFormatted !== '') {
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// Try to format numeric tick labels
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valueFormatted = tickValueFormatter(decimals)(toNumber(valueFormatted));
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} else if (valueFormatted && typeof valueFormatted === 'string' && valueFormatted !== '') {
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if (yAxisWidth) {
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const scale = 0.15; // how to have a better calculation for this
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const trimmed = valueFormatted.substring(0, Math.floor(yAxisWidth * scale));
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const postfix = trimmed.length < valueFormatted.length ? '...' : '';
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valueFormatted = `${trimmed}${postfix}`;
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}
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}
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return valueFormatted;
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};
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}
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const tsBucketsFormatted = map(tsBuckets, (v, i) => tickFormatter(null)(i));
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this.data.tsBucketsFormatted = tsBucketsFormatted;
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const yAxis = d3
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.axisLeft(this.yScale)
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.tickFormat(tickFormatter(this.getPanelYAxisWidth()))
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.tickSizeInner(0 - this.width)
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.tickSizeOuter(0)
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.tickPadding(Y_AXIS_TICK_PADDING);
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if (tickValues && tickValues.length <= ticks) {
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yAxis.tickValues(tickValues);
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} else {
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yAxis.ticks(ticks);
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}
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this.heatmap.append('g').attr('class', 'axis axis-y').call(yAxis);
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// Calculate Y axis width first, then move axis into visible area
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const posY = this.margin.top;
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const posX = this.getYAxisWidth(this.heatmap) + Y_AXIS_TICK_PADDING;
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this.heatmap.select('.axis-y').attr('transform', 'translate(' + posX + ',' + posY + ')');
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if (this.panel.yBucketBound === 'middle' && tickValues && tickValues.length) {
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// Shift Y axis labels to the middle of bucket
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const tickShift = 0 - this.chartHeight / (tickValues.length - 1) / 2;
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this.heatmap.selectAll('.axis-y text').attr('transform', 'translate(' + 0 + ',' + tickShift + ')');
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}
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// Remove vertical line in the right of axis labels (called domain in d3)
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this.heatmap.select('.axis-y').select('.domain').remove();
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}
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// Adjust data range to log base
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adjustLogRange(min: number, max: number, logBase: number) {
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let yMin = this.data.heatmapStats.minLog;
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if (this.data.heatmapStats.minLog > 1 || !this.data.heatmapStats.minLog) {
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yMin = 1;
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} else {
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yMin = this.adjustLogMin(this.data.heatmapStats.minLog, logBase);
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}
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// Adjust max Y value to log base
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const yMax = this.adjustLogMax(this.data.heatmapStats.max, logBase);
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return { yMin, yMax };
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}
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adjustLogMax(max: number, base: number) {
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return Math.pow(base, Math.ceil(ticksUtils.logp(max, base)));
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}
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adjustLogMin(min: number, base: number) {
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return Math.pow(base, Math.floor(ticksUtils.logp(min, base)));
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}
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logScaleTickValues(domain: any[], base: number) {
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const domainMin = domain[0];
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const domainMax = domain[1];
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const tickValues = [];
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if (domainMin < 1) {
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const underOneTicks = Math.floor(ticksUtils.logp(domainMin, base));
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for (let i = underOneTicks; i < 0; i++) {
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const tickValue = Math.pow(base, i);
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tickValues.push(tickValue);
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}
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}
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const ticks = Math.ceil(ticksUtils.logp(domainMax, base));
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for (let i = 0; i <= ticks; i++) {
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const tickValue = Math.pow(base, i);
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tickValues.push(tickValue);
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}
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return tickValues;
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}
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tickValueFormatter(decimals: number, scaledDecimals: any = null) {
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const format = this.panel.yAxis.format;
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return (value: any) => {
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try {
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if (format !== 'none') {
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const v = getValueFormat(format)(value, decimals, scaledDecimals);
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return formattedValueToString(v);
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}
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} catch (err) {
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console.error(err.message || err);
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}
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return value;
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};
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}
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fixYAxisTickSize() {
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this.heatmap.select('.axis-y').selectAll('.tick line').attr('x2', this.chartWidth);
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}
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addAxes() {
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this.chartHeight = this.height - this.margin.top - this.margin.bottom;
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this.chartTop = this.margin.top;
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this.chartBottom = this.chartTop + this.chartHeight;
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if (this.panel.dataFormat === 'tsbuckets') {
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this.addYAxisFromBuckets();
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} else {
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if (this.panel.yAxis.logBase === 1) {
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this.addYAxis();
|
|
} else {
|
|
this.addLogYAxis();
|
|
}
|
|
}
|
|
|
|
this.yAxisWidth = this.getYAxisWidth(this.heatmap) + Y_AXIS_TICK_PADDING;
|
|
this.chartWidth = this.width - this.yAxisWidth - this.margin.right;
|
|
this.fixYAxisTickSize();
|
|
|
|
this.addXAxis();
|
|
this.xAxisHeight = this.getXAxisHeight(this.heatmap);
|
|
|
|
if (!this.panel.yAxis.show) {
|
|
this.heatmap.select('.axis-y').selectAll('line').style('opacity', 0);
|
|
}
|
|
|
|
if (!this.panel.xAxis.show) {
|
|
this.heatmap.select('.axis-x').selectAll('line').style('opacity', 0);
|
|
}
|
|
}
|
|
|
|
addHeatmapCanvas() {
|
|
const heatmapElem = this.$heatmap[0];
|
|
|
|
this.width = Math.floor(this.$heatmap.width()) - this.padding.right;
|
|
this.height = Math.floor(this.$heatmap.height()) - this.padding.bottom;
|
|
|
|
this.cardPadding = this.panel.cards.cardPadding !== null ? this.panel.cards.cardPadding : CARD_PADDING;
|
|
this.cardRound = this.panel.cards.cardRound !== null ? this.panel.cards.cardRound : CARD_ROUND;
|
|
|
|
if (this.heatmap) {
|
|
this.heatmap.remove();
|
|
}
|
|
|
|
this.heatmap = d3.select(heatmapElem).append('svg').attr('width', this.width).attr('height', this.height);
|
|
}
|
|
|
|
addHeatmap() {
|
|
this.addHeatmapCanvas();
|
|
this.addAxes();
|
|
|
|
if (this.panel.yAxis.logBase !== 1 && this.panel.dataFormat !== 'tsbuckets') {
|
|
const logBase = this.panel.yAxis.logBase;
|
|
const domain = this.yScale.domain();
|
|
const tickValues = this.logScaleTickValues(domain, logBase);
|
|
this.data.buckets = mergeZeroBuckets(this.data.buckets, min(tickValues)!);
|
|
}
|
|
|
|
const cardsData = this.data.cards;
|
|
const cardStats = this.data.cardStats;
|
|
const maxValueAuto = cardStats.max;
|
|
const minValueAuto = Math.max(cardStats.min, 0);
|
|
const maxValue = isNil(this.panel.color.max) ? maxValueAuto : this.panel.color.max;
|
|
const minValue = isNil(this.panel.color.min) ? minValueAuto : this.panel.color.min;
|
|
const colorScheme: any = find(this.ctrl.colorSchemes, {
|
|
value: this.panel.color.colorScheme,
|
|
});
|
|
this.colorScale = getColorScale(colorScheme, contextSrv.user.lightTheme, maxValue, minValue);
|
|
this.opacityScale = getOpacityScale(this.panel.color, maxValue, minValue);
|
|
this.setCardSize();
|
|
|
|
let cards = this.heatmap.selectAll('.heatmap-card').data(cardsData);
|
|
cards.append('title');
|
|
cards = cards
|
|
.enter()
|
|
.append('rect')
|
|
.attr('x', this.getCardX.bind(this))
|
|
.attr('width', this.getCardWidth.bind(this))
|
|
.attr('y', this.getCardY.bind(this))
|
|
.attr('height', this.getCardHeight.bind(this))
|
|
.attr('rx', this.cardRound)
|
|
.attr('ry', this.cardRound)
|
|
.attr('class', 'bordered heatmap-card')
|
|
.style('fill', this.getCardColor.bind(this))
|
|
.style('stroke', this.getCardColor.bind(this))
|
|
.style('stroke-width', 0)
|
|
.style('opacity', this.getCardOpacity.bind(this));
|
|
|
|
const $cards = this.$heatmap.find('.heatmap-card');
|
|
$cards
|
|
.on('mouseenter', (event: any) => {
|
|
this.tooltip.mouseOverBucket = true;
|
|
this.highlightCard(event);
|
|
})
|
|
.on('mouseleave', (event: any) => {
|
|
this.tooltip.mouseOverBucket = false;
|
|
this.resetCardHighLight(event);
|
|
});
|
|
}
|
|
|
|
highlightCard(event: any) {
|
|
const color = d3.select(event.target).style('fill');
|
|
const highlightColor = d3.color(color)!.darker(2);
|
|
const strokeColor = d3.color(color)!.brighter(4);
|
|
const currentCard = d3.select(event.target);
|
|
this.tooltip.originalFillColor = color;
|
|
currentCard
|
|
.style('fill', highlightColor.toString())
|
|
.style('stroke', strokeColor.toString())
|
|
.style('stroke-width', 1);
|
|
}
|
|
|
|
resetCardHighLight(event: any) {
|
|
d3.select(event.target)
|
|
.style('fill', this.tooltip.originalFillColor)
|
|
.style('stroke', this.tooltip.originalFillColor)
|
|
.style('stroke-width', 0);
|
|
}
|
|
|
|
setCardSize() {
|
|
const xGridSize = Math.floor(this.xScale(this.data.xBucketSize) - this.xScale(0));
|
|
let yGridSize = Math.floor(this.yScale(this.yScale.invert(0) - this.data.yBucketSize));
|
|
|
|
if (this.panel.yAxis.logBase !== 1) {
|
|
const base = this.panel.yAxis.logBase;
|
|
const splitFactor = this.data.yBucketSize || 1;
|
|
yGridSize = Math.floor((this.yScale(1) - this.yScale(base)) / splitFactor);
|
|
}
|
|
|
|
const cardWidth = xGridSize - this.cardPadding * 2;
|
|
this.cardWidth = Math.max(cardWidth, MIN_CARD_SIZE);
|
|
this.cardHeight = yGridSize ? yGridSize - this.cardPadding * 2 : 0;
|
|
}
|
|
|
|
getCardX(d: { x: any }) {
|
|
let x;
|
|
if (this.xScale(d.x) < 0) {
|
|
// Cut card left to prevent overlay
|
|
x = this.yAxisWidth + this.cardPadding;
|
|
} else {
|
|
x = this.xScale(d.x) + this.yAxisWidth + this.cardPadding;
|
|
}
|
|
|
|
return x;
|
|
}
|
|
|
|
getCardWidth(d: { x: any }) {
|
|
let w = this.cardWidth;
|
|
if (this.xScale(d.x) < 0) {
|
|
// Cut card left to prevent overlay
|
|
w = this.xScale(d.x) + this.cardWidth;
|
|
} else if (this.xScale(d.x) + this.cardWidth > this.chartWidth) {
|
|
// Cut card right to prevent overlay
|
|
w = this.chartWidth - this.xScale(d.x) - this.cardPadding;
|
|
}
|
|
|
|
// Card width should be MIN_CARD_SIZE at least, but cut cards shouldn't be displayed
|
|
w = w > 0 ? Math.max(w, MIN_CARD_SIZE) : 0;
|
|
return w;
|
|
}
|
|
|
|
getCardY(d: { y: number }) {
|
|
let y = this.yScale(d.y) + this.chartTop - this.cardHeight - this.cardPadding;
|
|
if (this.panel.yAxis.logBase !== 1 && d.y === 0) {
|
|
y = this.chartBottom - this.cardHeight - this.cardPadding;
|
|
} else {
|
|
if (y < this.chartTop) {
|
|
y = this.chartTop;
|
|
}
|
|
}
|
|
|
|
return y;
|
|
}
|
|
|
|
getCardHeight(d: { y: number }) {
|
|
const y = this.yScale(d.y) + this.chartTop - this.cardHeight - this.cardPadding;
|
|
let h = this.cardHeight;
|
|
|
|
if (this.panel.yAxis.logBase !== 1 && d.y === 0) {
|
|
return this.cardHeight;
|
|
}
|
|
|
|
// Cut card height to prevent overlay
|
|
if (y < this.chartTop) {
|
|
h = this.yScale(d.y) - this.cardPadding;
|
|
} else if (this.yScale(d.y) > this.chartBottom) {
|
|
h = this.chartBottom - y;
|
|
} else if (y + this.cardHeight > this.chartBottom) {
|
|
h = this.chartBottom - y;
|
|
}
|
|
|
|
// Height can't be more than chart height
|
|
h = Math.min(h, this.chartHeight);
|
|
// Card height should be MIN_CARD_SIZE at least
|
|
h = Math.max(h, MIN_CARD_SIZE);
|
|
|
|
return h;
|
|
}
|
|
|
|
getCardColor(d: { count: any }) {
|
|
if (this.panel.color.mode === 'opacity') {
|
|
return getColorForTheme(this.panel.color.cardColor, config.theme);
|
|
} else {
|
|
return this.colorScale(d.count);
|
|
}
|
|
}
|
|
|
|
getCardOpacity(d: { count: any }) {
|
|
if (this.panel.color.mode === 'opacity') {
|
|
return this.opacityScale(d.count);
|
|
} else {
|
|
return 1;
|
|
}
|
|
}
|
|
|
|
getEventOffset(event: any) {
|
|
const elemOffset = this.$heatmap.offset();
|
|
const x = Math.floor(event.clientX - elemOffset.left);
|
|
const y = Math.floor(event.clientY - elemOffset.top);
|
|
return { x, y };
|
|
}
|
|
|
|
onMouseDown(event: any) {
|
|
const offset = this.getEventOffset(event);
|
|
this.selection.active = true;
|
|
this.selection.x1 = offset.x;
|
|
|
|
this.mouseUpHandler = () => {
|
|
this.onMouseUp();
|
|
};
|
|
|
|
$(document).one('mouseup', this.mouseUpHandler.bind(this));
|
|
}
|
|
|
|
onMouseUp() {
|
|
$(document).unbind('mouseup', this.mouseUpHandler.bind(this));
|
|
this.mouseUpHandler = null;
|
|
this.selection.active = false;
|
|
|
|
const selectionRange = Math.abs(this.selection.x2 - this.selection.x1);
|
|
if (this.selection.x2 >= 0 && selectionRange > MIN_SELECTION_WIDTH) {
|
|
const timeFrom = this.xScale.invert(Math.min(this.selection.x1, this.selection.x2) - this.yAxisWidth);
|
|
const timeTo = this.xScale.invert(Math.max(this.selection.x1, this.selection.x2) - this.yAxisWidth);
|
|
|
|
this.ctrl.timeSrv.setTime({
|
|
from: toUtc(timeFrom),
|
|
to: toUtc(timeTo),
|
|
});
|
|
}
|
|
|
|
this.clearSelection();
|
|
}
|
|
|
|
onMouseLeave() {
|
|
this.ctrl.dashboard.events.publish(new LegacyGraphHoverClearEvent());
|
|
this.clearCrosshair();
|
|
}
|
|
|
|
onMouseMove(event: any) {
|
|
if (!this.heatmap) {
|
|
return;
|
|
}
|
|
|
|
const offset = this.getEventOffset(event);
|
|
if (this.selection.active) {
|
|
// Clear crosshair and tooltip
|
|
this.clearCrosshair();
|
|
this.tooltip.destroy();
|
|
|
|
this.selection.x2 = this.limitSelection(offset.x);
|
|
this.drawSelection(this.selection.x1, this.selection.x2);
|
|
} else {
|
|
const pos = this.getEventPos(event, offset);
|
|
this.drawCrosshair(offset.x);
|
|
this.tooltip.show(pos, this.data);
|
|
this.emitGraphHoverEvent(pos);
|
|
}
|
|
}
|
|
|
|
getEventPos(event: { pageX: any; pageY: any }, offset: { x: any; y: any }) {
|
|
const x = this.xScale.invert(offset.x - this.yAxisWidth).valueOf();
|
|
const y = this.yScale.invert(offset.y - this.chartTop);
|
|
const pos: any = {
|
|
pageX: event.pageX,
|
|
pageY: event.pageY,
|
|
x: x,
|
|
x1: x,
|
|
y: y,
|
|
y1: y,
|
|
panelRelY: null,
|
|
offset,
|
|
};
|
|
|
|
return pos;
|
|
}
|
|
|
|
emitGraphHoverEvent(pos: { panelRelY: number; offset: { y: number } }) {
|
|
// Set minimum offset to prevent showing legend from another panel
|
|
pos.panelRelY = Math.max(pos.offset.y / this.height, 0.001);
|
|
// broadcast to other graph panels that we are hovering
|
|
this.hoverEvent.payload.pos = pos;
|
|
this.hoverEvent.payload.panel = this.panel;
|
|
this.hoverEvent.payload.point['time'] = (pos as any).x;
|
|
this.ctrl.dashboard.events.publish(this.hoverEvent);
|
|
}
|
|
|
|
limitSelection(x2: number) {
|
|
x2 = Math.max(x2, this.yAxisWidth);
|
|
x2 = Math.min(x2, this.chartWidth + this.yAxisWidth);
|
|
return x2;
|
|
}
|
|
|
|
drawSelection(posX1: number, posX2: number) {
|
|
if (this.heatmap) {
|
|
this.heatmap.selectAll('.heatmap-selection').remove();
|
|
const selectionX = Math.min(posX1, posX2);
|
|
const selectionWidth = Math.abs(posX1 - posX2);
|
|
|
|
if (selectionWidth > MIN_SELECTION_WIDTH) {
|
|
this.heatmap
|
|
.append('rect')
|
|
.attr('class', 'heatmap-selection')
|
|
.attr('x', selectionX)
|
|
.attr('width', selectionWidth)
|
|
.attr('y', this.chartTop)
|
|
.attr('height', this.chartHeight);
|
|
}
|
|
}
|
|
}
|
|
|
|
clearSelection() {
|
|
this.selection.x1 = -1;
|
|
this.selection.x2 = -1;
|
|
|
|
if (this.heatmap) {
|
|
this.heatmap.selectAll('.heatmap-selection').remove();
|
|
}
|
|
}
|
|
|
|
drawCrosshair(position: number) {
|
|
if (this.heatmap) {
|
|
this.heatmap.selectAll('.heatmap-crosshair').remove();
|
|
|
|
let posX = position;
|
|
posX = Math.max(posX, this.yAxisWidth);
|
|
posX = Math.min(posX, this.chartWidth + this.yAxisWidth);
|
|
|
|
this.heatmap
|
|
.append('g')
|
|
.attr('class', 'heatmap-crosshair')
|
|
.attr('transform', 'translate(' + posX + ',0)')
|
|
.append('line')
|
|
.attr('x1', 1)
|
|
.attr('y1', this.chartTop)
|
|
.attr('x2', 1)
|
|
.attr('y2', this.chartBottom)
|
|
.attr('stroke-width', 1);
|
|
}
|
|
}
|
|
|
|
drawSharedCrosshair(pos: { x: any }) {
|
|
if (this.heatmap && this.ctrl.dashboard.graphTooltip !== 0) {
|
|
const posX = this.xScale(pos.x) + this.yAxisWidth;
|
|
this.drawCrosshair(posX);
|
|
}
|
|
}
|
|
|
|
clearCrosshair() {
|
|
if (this.heatmap) {
|
|
this.heatmap.selectAll('.heatmap-crosshair').remove();
|
|
}
|
|
}
|
|
|
|
render() {
|
|
this.data = this.ctrl.data;
|
|
this.panel = this.ctrl.panel;
|
|
this.timeRange = this.ctrl.range;
|
|
|
|
if (!this.setElementHeight() || !this.data) {
|
|
return;
|
|
}
|
|
|
|
// Draw default axes and return if no data
|
|
if (isEmpty(this.data.buckets)) {
|
|
this.addHeatmapCanvas();
|
|
this.addAxes();
|
|
return;
|
|
}
|
|
|
|
this.addHeatmap();
|
|
this.scope.yAxisWidth = this.yAxisWidth;
|
|
this.scope.xAxisHeight = this.xAxisHeight;
|
|
this.scope.chartHeight = this.chartHeight;
|
|
this.scope.chartWidth = this.chartWidth;
|
|
this.scope.chartTop = this.chartTop;
|
|
}
|
|
|
|
private getPanelYAxisWidth(): number | null {
|
|
if (!this.panel.yAxis.width) {
|
|
return null;
|
|
}
|
|
|
|
return isNaN(this.panel.yAxis.width) ? null : parseInt(this.panel.yAxis.width, 10);
|
|
}
|
|
}
|