mirror of
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719 lines
21 KiB
TypeScript
Executable File
719 lines
21 KiB
TypeScript
Executable File
import 'vendor/flot/jquery.flot';
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import 'vendor/flot/jquery.flot.selection';
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import 'vendor/flot/jquery.flot.time';
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import 'vendor/flot/jquery.flot.stack';
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import 'vendor/flot/jquery.flot.stackpercent';
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import 'vendor/flot/jquery.flot.fillbelow';
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import 'vendor/flot/jquery.flot.crosshair';
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import 'vendor/flot/jquery.flot.dashes';
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import './jquery.flot.events';
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import $ from 'jquery';
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import _ from 'lodash';
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import moment from 'moment';
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import kbn from 'app/core/utils/kbn';
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import { tickStep } from 'app/core/utils/ticks';
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import { appEvents, coreModule, updateLegendValues } from 'app/core/core';
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import GraphTooltip from './graph_tooltip';
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import { ThresholdManager } from './threshold_manager';
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import { EventManager } from 'app/features/annotations/all';
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import { convertToHistogramData } from './histogram';
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import { alignYLevel } from './align_yaxes';
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import config from 'app/core/config';
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/** @ngInject **/
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function graphDirective(timeSrv, popoverSrv, contextSrv) {
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return {
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restrict: 'A',
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template: '',
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link: function(scope, elem) {
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var ctrl = scope.ctrl;
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var dashboard = ctrl.dashboard;
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var panel = ctrl.panel;
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var annotations = [];
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var data;
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var plot;
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var sortedSeries;
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var panelWidth = 0;
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var eventManager = new EventManager(ctrl);
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var thresholdManager = new ThresholdManager(ctrl);
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var tooltip = new GraphTooltip(elem, dashboard, scope, function() {
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return sortedSeries;
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});
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// panel events
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ctrl.events.on('panel-teardown', () => {
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thresholdManager = null;
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if (plot) {
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plot.destroy();
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plot = null;
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}
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});
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/**
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* Split graph rendering into two parts.
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* First, calculate series stats in buildFlotPairs() function. Then legend rendering started
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* (see ctrl.events.on('render') in legend.ts).
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* When legend is rendered it emits 'legend-rendering-complete' and graph rendered.
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*/
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ctrl.events.on('render', renderData => {
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data = renderData || data;
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if (!data) {
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return;
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}
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annotations = ctrl.annotations || [];
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buildFlotPairs(data);
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updateLegendValues(data, panel);
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ctrl.events.emit('render-legend');
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});
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ctrl.events.on('legend-rendering-complete', () => {
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render_panel();
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});
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// global events
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appEvents.on(
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'graph-hover',
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evt => {
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// ignore other graph hover events if shared tooltip is disabled
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if (!dashboard.sharedTooltipModeEnabled()) {
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return;
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}
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// ignore if we are the emitter
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if (!plot || evt.panel.id === panel.id || ctrl.otherPanelInFullscreenMode()) {
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return;
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}
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tooltip.show(evt.pos);
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},
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scope
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);
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appEvents.on(
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'graph-hover-clear',
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(event, info) => {
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if (plot) {
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tooltip.clear(plot);
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}
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},
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scope
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);
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function shouldAbortRender() {
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if (!data) {
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return true;
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}
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if (panelWidth === 0) {
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return true;
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}
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return false;
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}
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function drawHook(plot) {
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// add left axis labels
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if (panel.yaxes[0].label && panel.yaxes[0].show) {
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$("<div class='axisLabel left-yaxis-label flot-temp-elem'></div>")
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.text(panel.yaxes[0].label)
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.appendTo(elem);
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}
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// add right axis labels
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if (panel.yaxes[1].label && panel.yaxes[1].show) {
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$("<div class='axisLabel right-yaxis-label flot-temp-elem'></div>")
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.text(panel.yaxes[1].label)
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.appendTo(elem);
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}
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if (ctrl.dataWarning) {
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$(`<div class="datapoints-warning flot-temp-elem">${ctrl.dataWarning.title}</div>`).appendTo(elem);
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}
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thresholdManager.draw(plot);
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}
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function processOffsetHook(plot, gridMargin) {
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var left = panel.yaxes[0];
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var right = panel.yaxes[1];
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if (left.show && left.label) {
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gridMargin.left = 20;
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}
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if (right.show && right.label) {
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gridMargin.right = 20;
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}
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// apply y-axis min/max options
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var yaxis = plot.getYAxes();
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for (var i = 0; i < yaxis.length; i++) {
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var axis = yaxis[i];
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var panelOptions = panel.yaxes[i];
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axis.options.max = axis.options.max !== null ? axis.options.max : panelOptions.max;
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axis.options.min = axis.options.min !== null ? axis.options.min : panelOptions.min;
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}
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}
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function processRangeHook(plot) {
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var yAxes = plot.getYAxes();
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const align = panel.yaxis.align || false;
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if (yAxes.length > 1 && align === true) {
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const level = panel.yaxis.alignLevel || 0;
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alignYLevel(yAxes, parseFloat(level));
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}
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}
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// Series could have different timeSteps,
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// let's find the smallest one so that bars are correctly rendered.
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// In addition, only take series which are rendered as bars for this.
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function getMinTimeStepOfSeries(data) {
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var min = Number.MAX_VALUE;
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for (let i = 0; i < data.length; i++) {
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if (!data[i].stats.timeStep) {
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continue;
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}
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if (panel.bars) {
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if (data[i].bars && data[i].bars.show === false) {
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continue;
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}
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} else {
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if (typeof data[i].bars === 'undefined' || typeof data[i].bars.show === 'undefined' || !data[i].bars.show) {
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continue;
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}
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}
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if (data[i].stats.timeStep < min) {
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min = data[i].stats.timeStep;
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}
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}
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return min;
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}
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// Function for rendering panel
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function render_panel() {
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panelWidth = elem.width();
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if (shouldAbortRender()) {
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return;
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}
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// give space to alert editing
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thresholdManager.prepare(elem, data);
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// un-check dashes if lines are unchecked
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panel.dashes = panel.lines ? panel.dashes : false;
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// Populate element
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let options: any = buildFlotOptions(panel);
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prepareXAxis(options, panel);
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configureYAxisOptions(data, options);
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thresholdManager.addFlotOptions(options, panel);
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eventManager.addFlotEvents(annotations, options);
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sortedSeries = sortSeries(data, panel);
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callPlot(options, true);
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}
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function buildFlotPairs(data) {
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for (let i = 0; i < data.length; i++) {
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let series = data[i];
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series.data = series.getFlotPairs(series.nullPointMode || panel.nullPointMode);
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// if hidden remove points and disable stack
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if (ctrl.hiddenSeries[series.alias]) {
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series.data = [];
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series.stack = false;
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}
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}
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}
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function prepareXAxis(options, panel) {
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switch (panel.xaxis.mode) {
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case 'series': {
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options.series.bars.barWidth = 0.7;
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options.series.bars.align = 'center';
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for (let i = 0; i < data.length; i++) {
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let series = data[i];
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series.data = [[i + 1, series.stats[panel.xaxis.values[0]]]];
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}
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addXSeriesAxis(options);
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break;
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}
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case 'histogram': {
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let bucketSize: number;
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if (data.length) {
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let histMin = _.min(_.map(data, s => s.stats.min));
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let histMax = _.max(_.map(data, s => s.stats.max));
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let ticks = panel.xaxis.buckets || panelWidth / 50;
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bucketSize = tickStep(histMin, histMax, ticks);
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options.series.bars.barWidth = bucketSize * 0.8;
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data = convertToHistogramData(data, bucketSize, ctrl.hiddenSeries, histMin, histMax);
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} else {
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bucketSize = 0;
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}
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addXHistogramAxis(options, bucketSize);
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break;
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}
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case 'table': {
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options.series.bars.barWidth = 0.7;
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options.series.bars.align = 'center';
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addXTableAxis(options);
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break;
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}
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default: {
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options.series.bars.barWidth = getMinTimeStepOfSeries(data) / 1.5;
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addTimeAxis(options);
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break;
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}
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}
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}
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function callPlot(options, incrementRenderCounter) {
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try {
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plot = $.plot(elem, sortedSeries, options);
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if (ctrl.renderError) {
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delete ctrl.error;
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delete ctrl.inspector;
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}
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} catch (e) {
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console.log('flotcharts error', e);
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ctrl.error = e.message || 'Render Error';
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ctrl.renderError = true;
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ctrl.inspector = { error: e };
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}
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if (incrementRenderCounter) {
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ctrl.renderingCompleted();
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}
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}
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function buildFlotOptions(panel) {
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let gridColor = '#c8c8c8';
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if (config.bootData.user.lightTheme === true) {
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gridColor = '#a1a1a1';
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}
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const stack = panel.stack ? true : null;
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let options = {
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hooks: {
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draw: [drawHook],
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processOffset: [processOffsetHook],
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processRange: [processRangeHook],
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},
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legend: { show: false },
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series: {
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stackpercent: panel.stack ? panel.percentage : false,
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stack: panel.percentage ? null : stack,
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lines: {
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show: panel.lines,
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zero: false,
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fill: translateFillOption(panel.fill),
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lineWidth: panel.dashes ? 0 : panel.linewidth,
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steps: panel.steppedLine,
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},
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dashes: {
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show: panel.dashes,
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lineWidth: panel.linewidth,
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dashLength: [panel.dashLength, panel.spaceLength],
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},
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bars: {
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show: panel.bars,
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fill: 1,
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barWidth: 1,
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zero: false,
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lineWidth: 0,
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},
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points: {
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show: panel.points,
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fill: 1,
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fillColor: false,
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radius: panel.points ? panel.pointradius : 2,
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},
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shadowSize: 0,
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},
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yaxes: [],
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xaxis: {},
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grid: {
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minBorderMargin: 0,
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markings: [],
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backgroundColor: null,
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borderWidth: 0,
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hoverable: true,
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clickable: true,
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color: gridColor,
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margin: { left: 0, right: 0 },
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labelMarginX: 0,
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},
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selection: {
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mode: 'x',
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color: '#666',
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},
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crosshair: {
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mode: 'x',
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},
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};
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return options;
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}
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function sortSeries(series, panel) {
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var sortBy = panel.legend.sort;
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var sortOrder = panel.legend.sortDesc;
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var haveSortBy = sortBy !== null && sortBy !== undefined;
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var haveSortOrder = sortOrder !== null && sortOrder !== undefined;
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var shouldSortBy = panel.stack && haveSortBy && haveSortOrder;
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var sortDesc = panel.legend.sortDesc === true ? -1 : 1;
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if (shouldSortBy) {
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return _.sortBy(series, s => s.stats[sortBy] * sortDesc);
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} else {
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return _.sortBy(series, s => s.zindex);
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}
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}
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function translateFillOption(fill) {
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if (panel.percentage && panel.stack) {
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return fill === 0 ? 0.001 : fill / 10;
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} else {
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return fill / 10;
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}
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}
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function addTimeAxis(options) {
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var ticks = panelWidth / 100;
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var min = _.isUndefined(ctrl.range.from) ? null : ctrl.range.from.valueOf();
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var max = _.isUndefined(ctrl.range.to) ? null : ctrl.range.to.valueOf();
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options.xaxis = {
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timezone: dashboard.getTimezone(),
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show: panel.xaxis.show,
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mode: 'time',
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min: min,
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max: max,
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label: 'Datetime',
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ticks: ticks,
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timeformat: time_format(ticks, min, max),
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};
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}
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function addXSeriesAxis(options) {
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var ticks = _.map(data, function(series, index) {
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return [index + 1, series.alias];
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});
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options.xaxis = {
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timezone: dashboard.getTimezone(),
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show: panel.xaxis.show,
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mode: null,
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min: 0,
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max: ticks.length + 1,
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label: 'Datetime',
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ticks: ticks,
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};
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}
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function addXHistogramAxis(options, bucketSize) {
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let ticks, min, max;
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let defaultTicks = panelWidth / 50;
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if (data.length && bucketSize) {
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let tick_values = [];
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for (let d of data) {
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for (let point of d.data) {
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tick_values[point[0]] = true;
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}
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}
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ticks = Object.keys(tick_values).map(v => Number(v));
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min = _.min(ticks);
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max = _.max(ticks);
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// Adjust tick step
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let tickStep = bucketSize;
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let ticks_num = Math.floor((max - min) / tickStep);
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while (ticks_num > defaultTicks) {
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tickStep = tickStep * 2;
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ticks_num = Math.ceil((max - min) / tickStep);
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}
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// Expand ticks for pretty view
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min = Math.floor(min / tickStep) * tickStep;
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// 1.01 is 101% - ensure we have enough space for last bar
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max = Math.ceil(max * 1.01 / tickStep) * tickStep;
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ticks = [];
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for (let i = min; i <= max; i += tickStep) {
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ticks.push(i);
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}
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} else {
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// Set defaults if no data
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ticks = defaultTicks / 2;
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min = 0;
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max = 1;
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}
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options.xaxis = {
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timezone: dashboard.getTimezone(),
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show: panel.xaxis.show,
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mode: null,
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min: min,
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max: max,
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label: 'Histogram',
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ticks: ticks,
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};
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// Use 'short' format for histogram values
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configureAxisMode(options.xaxis, 'short');
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}
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function addXTableAxis(options) {
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var ticks = _.map(data, function(series, seriesIndex) {
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return _.map(series.datapoints, function(point, pointIndex) {
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var tickIndex = seriesIndex * series.datapoints.length + pointIndex;
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return [tickIndex + 1, point[1]];
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});
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});
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ticks = _.flatten(ticks, true);
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options.xaxis = {
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timezone: dashboard.getTimezone(),
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show: panel.xaxis.show,
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mode: null,
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min: 0,
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max: ticks.length + 1,
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label: 'Datetime',
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ticks: ticks,
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};
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}
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function configureYAxisOptions(data, options) {
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var defaults = {
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position: 'left',
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show: panel.yaxes[0].show,
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index: 1,
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logBase: panel.yaxes[0].logBase || 1,
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min: parseNumber(panel.yaxes[0].min),
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max: parseNumber(panel.yaxes[0].max),
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tickDecimals: panel.yaxes[0].decimals,
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};
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options.yaxes.push(defaults);
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if (_.find(data, { yaxis: 2 })) {
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var secondY = _.clone(defaults);
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secondY.index = 2;
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secondY.show = panel.yaxes[1].show;
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secondY.logBase = panel.yaxes[1].logBase || 1;
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secondY.position = 'right';
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secondY.min = parseNumber(panel.yaxes[1].min);
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secondY.max = parseNumber(panel.yaxes[1].max);
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secondY.tickDecimals = panel.yaxes[1].decimals;
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options.yaxes.push(secondY);
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applyLogScale(options.yaxes[1], data);
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configureAxisMode(options.yaxes[1], panel.percentage && panel.stack ? 'percent' : panel.yaxes[1].format);
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}
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applyLogScale(options.yaxes[0], data);
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configureAxisMode(options.yaxes[0], panel.percentage && panel.stack ? 'percent' : panel.yaxes[0].format);
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}
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function parseNumber(value: any) {
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if (value === null || typeof value === 'undefined') {
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return null;
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}
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return _.toNumber(value);
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}
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function applyLogScale(axis, data) {
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if (axis.logBase === 1) {
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return;
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}
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const minSetToZero = axis.min === 0;
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if (axis.min < Number.MIN_VALUE) {
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axis.min = null;
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}
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if (axis.max < Number.MIN_VALUE) {
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axis.max = null;
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}
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var series, i;
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var max = axis.max,
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min = axis.min;
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for (i = 0; i < data.length; i++) {
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series = data[i];
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if (series.yaxis === axis.index) {
|
|
if (!max || max < series.stats.max) {
|
|
max = series.stats.max;
|
|
}
|
|
if (!min || min > series.stats.logmin) {
|
|
min = series.stats.logmin;
|
|
}
|
|
}
|
|
}
|
|
|
|
axis.transform = function(v) {
|
|
return v < Number.MIN_VALUE ? null : Math.log(v) / Math.log(axis.logBase);
|
|
};
|
|
axis.inverseTransform = function(v) {
|
|
return Math.pow(axis.logBase, v);
|
|
};
|
|
|
|
if (!max && !min) {
|
|
max = axis.inverseTransform(+2);
|
|
min = axis.inverseTransform(-2);
|
|
} else if (!max) {
|
|
max = min * axis.inverseTransform(+4);
|
|
} else if (!min) {
|
|
min = max * axis.inverseTransform(-4);
|
|
}
|
|
|
|
if (axis.min) {
|
|
min = axis.inverseTransform(Math.ceil(axis.transform(axis.min)));
|
|
} else {
|
|
min = axis.min = axis.inverseTransform(Math.floor(axis.transform(min)));
|
|
}
|
|
if (axis.max) {
|
|
max = axis.inverseTransform(Math.floor(axis.transform(axis.max)));
|
|
} else {
|
|
max = axis.max = axis.inverseTransform(Math.ceil(axis.transform(max)));
|
|
}
|
|
|
|
if (!min || min < Number.MIN_VALUE || !max || max < Number.MIN_VALUE) {
|
|
return;
|
|
}
|
|
|
|
if (Number.isFinite(min) && Number.isFinite(max)) {
|
|
if (minSetToZero) {
|
|
axis.min = 0.1;
|
|
min = 1;
|
|
}
|
|
|
|
axis.ticks = generateTicksForLogScaleYAxis(min, max, axis.logBase);
|
|
if (minSetToZero) {
|
|
axis.ticks.unshift(0.1);
|
|
}
|
|
if (axis.ticks[axis.ticks.length - 1] > axis.max) {
|
|
axis.max = axis.ticks[axis.ticks.length - 1];
|
|
}
|
|
} else {
|
|
axis.ticks = [1, 2];
|
|
delete axis.min;
|
|
delete axis.max;
|
|
}
|
|
}
|
|
|
|
function generateTicksForLogScaleYAxis(min, max, logBase) {
|
|
let ticks = [];
|
|
|
|
var nextTick;
|
|
for (nextTick = min; nextTick <= max; nextTick *= logBase) {
|
|
ticks.push(nextTick);
|
|
}
|
|
|
|
const maxNumTicks = Math.ceil(ctrl.height / 25);
|
|
const numTicks = ticks.length;
|
|
if (numTicks > maxNumTicks) {
|
|
const factor = Math.ceil(numTicks / maxNumTicks) * logBase;
|
|
ticks = [];
|
|
|
|
for (nextTick = min; nextTick <= max * factor; nextTick *= factor) {
|
|
ticks.push(nextTick);
|
|
}
|
|
}
|
|
|
|
return ticks;
|
|
}
|
|
|
|
function configureAxisMode(axis, format) {
|
|
axis.tickFormatter = function(val, axis) {
|
|
if (!kbn.valueFormats[format]) {
|
|
throw new Error(`Unit '${format}' is not supported`);
|
|
}
|
|
return kbn.valueFormats[format](val, axis.tickDecimals, axis.scaledDecimals);
|
|
};
|
|
}
|
|
|
|
function time_format(ticks, min, max) {
|
|
if (min && max && ticks) {
|
|
var range = max - min;
|
|
var secPerTick = range / ticks / 1000;
|
|
var oneDay = 86400000;
|
|
var oneYear = 31536000000;
|
|
|
|
if (secPerTick <= 45) {
|
|
return '%H:%M:%S';
|
|
}
|
|
if (secPerTick <= 7200 || range <= oneDay) {
|
|
return '%H:%M';
|
|
}
|
|
if (secPerTick <= 80000) {
|
|
return '%m/%d %H:%M';
|
|
}
|
|
if (secPerTick <= 2419200 || range <= oneYear) {
|
|
return '%m/%d';
|
|
}
|
|
return '%Y-%m';
|
|
}
|
|
|
|
return '%H:%M';
|
|
}
|
|
|
|
elem.bind('plotselected', function(event, ranges) {
|
|
if (panel.xaxis.mode !== 'time') {
|
|
// Skip if panel in histogram or series mode
|
|
plot.clearSelection();
|
|
return;
|
|
}
|
|
|
|
if ((ranges.ctrlKey || ranges.metaKey) && dashboard.meta.canEdit) {
|
|
// Add annotation
|
|
setTimeout(() => {
|
|
eventManager.updateTime(ranges.xaxis);
|
|
}, 100);
|
|
} else {
|
|
scope.$apply(function() {
|
|
timeSrv.setTime({
|
|
from: moment.utc(ranges.xaxis.from),
|
|
to: moment.utc(ranges.xaxis.to),
|
|
});
|
|
});
|
|
}
|
|
});
|
|
|
|
elem.bind('plotclick', function(event, pos, item) {
|
|
if (panel.xaxis.mode !== 'time') {
|
|
// Skip if panel in histogram or series mode
|
|
return;
|
|
}
|
|
|
|
if ((pos.ctrlKey || pos.metaKey) && dashboard.meta.canEdit) {
|
|
// Skip if range selected (added in "plotselected" event handler)
|
|
let isRangeSelection = pos.x !== pos.x1;
|
|
if (!isRangeSelection) {
|
|
setTimeout(() => {
|
|
eventManager.updateTime({ from: pos.x, to: null });
|
|
}, 100);
|
|
}
|
|
}
|
|
});
|
|
|
|
scope.$on('$destroy', function() {
|
|
tooltip.destroy();
|
|
elem.off();
|
|
elem.remove();
|
|
});
|
|
},
|
|
};
|
|
}
|
|
|
|
coreModule.directive('grafanaGraph', graphDirective);
|