diff --git a/public/app/headers/common.d.ts b/public/app/headers/common.d.ts
index aa4825829a1..9ea5e96654d 100644
--- a/public/app/headers/common.d.ts
+++ b/public/app/headers/common.d.ts
@@ -67,3 +67,8 @@ declare module 'remarkable' {
var config: any;
export default config;
}
+
+declare module 'd3' {
+ var d3: any;
+ export default d3;
+}
diff --git a/public/app/plugins/panel/heatmap/README.md b/public/app/plugins/panel/heatmap/README.md
new file mode 100644
index 00000000000..e69de29bb2d
diff --git a/public/app/plugins/panel/heatmap/axes_editor.ts b/public/app/plugins/panel/heatmap/axes_editor.ts
new file mode 100644
index 00000000000..662b1aba406
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/axes_editor.ts
@@ -0,0 +1,43 @@
+///
+
+import kbn from 'app/core/utils/kbn';
+
+export class AxesEditorCtrl {
+ panel: any;
+ panelCtrl: any;
+ unitFormats: any;
+ logScales: any;
+
+ /** @ngInject */
+ constructor($scope) {
+ $scope.editor = this;
+ this.panelCtrl = $scope.ctrl;
+ this.panel = this.panelCtrl.panel;
+
+ this.unitFormats = kbn.getUnitFormats();
+
+ this.logScales = {
+ 'linear': 1,
+ 'log (base 2)': 2,
+ 'log (base 10)': 10,
+ 'log (base 32)': 32,
+ 'log (base 1024)': 1024
+ };
+ }
+
+ setUnitFormat(subItem) {
+ this.panel.yAxis.format = subItem.value;
+ this.panelCtrl.render();
+ }
+}
+
+/** @ngInject */
+export function axesEditor() {
+ 'use strict';
+ return {
+ restrict: 'E',
+ scope: true,
+ templateUrl: 'public/app/plugins/panel/heatmap/partials/axes_editor.html',
+ controller: AxesEditorCtrl,
+ };
+}
diff --git a/public/app/plugins/panel/heatmap/css/heatmap.dark.css b/public/app/plugins/panel/heatmap/css/heatmap.dark.css
new file mode 100644
index 00000000000..1a2ba8b7eb0
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/css/heatmap.dark.css
@@ -0,0 +1,70 @@
+.axis text {
+}
+
+.axis {
+ font-family: "Open Sans", Helvetica, Arial, sans-serif;
+ font-size: smaller;
+ fill: #D8D9DA;
+}
+
+.axis path,
+.axis line {
+ fill: none;
+ stroke: #7B7B7B;
+ /*shape-rendering: crispEdges;*/
+}
+
+.axis .domain {
+ /*opacity: 0;*/
+}
+
+.tick line {
+ opacity: 0.4;
+ stroke: #7B7B7B;
+}
+
+.tick text {
+ fill: #D8D9DA;
+}
+
+.heatmap-panel {
+ cursor: crosshair;
+ padding: 0;
+}
+
+div.heatmap-tooltip {
+ position: absolute;
+ text-align: left;
+ min-width: 160px;
+ padding: 12px;
+ font-family: "Open Sans", Helvetica, Arial, sans-serif;
+ font-size: 13px;
+ background: #141414;
+ border: 0px;
+ border-radius: 8px;
+ pointer-events: none;
+}
+
+.card-highlighted:hover {
+ stroke: #D8D9DA;
+}
+
+rect.heatmap-card {
+ pointer-events: all;
+}
+
+.heatmap-histogram rect {
+ fill: #828282;
+}
+
+.heatmap-crosshair line {
+ stroke: #9a1010;
+ stroke-width: 1;
+}
+
+.heatmap-selection {
+ stroke-width: 1;
+ opacity: 0.3;
+ fill: #828282;
+ stroke: #D8D9DA;
+}
diff --git a/public/app/plugins/panel/heatmap/css/heatmap.light.css b/public/app/plugins/panel/heatmap/css/heatmap.light.css
new file mode 100644
index 00000000000..bf9504fc411
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/css/heatmap.light.css
@@ -0,0 +1,58 @@
+.axis {
+ font-family: "Open Sans", Helvetica, Arial, sans-serif;
+ font-size: smaller;
+ fill: #555555;
+}
+
+.axis path,
+.axis line {
+ fill: none;
+ stroke: #D8D9DA;
+ /*shape-rendering: crispEdges;*/
+}
+
+.tick line {
+ opacity: 0.4;
+ stroke: #D8D9DA;
+}
+
+.tick text {
+ fill: #555555;
+}
+
+.heatmap-panel {
+ cursor: crosshair;
+}
+
+div.heatmap-tooltip {
+ position: absolute;
+ text-align: left;
+ min-width: 160px;
+ padding: 12px;
+ font-family: "Open Sans", Helvetica, Arial, sans-serif;
+ font-size: 13px;
+ background: #ECECEC;
+ border: 0px;
+ border-radius: 8px;
+ pointer-events: none;
+}
+
+.card-highlighted:hover {
+ stroke: #D8D9DA;
+}
+
+.heatmap-histogram rect {
+ fill: #555555;
+}
+
+.heatmap-crosshair line {
+ stroke: #a25959;
+ stroke-width: 1;
+}
+
+.heatmap-selection {
+ stroke-width: 1;
+ opacity: 0.3;
+ fill: #555555;
+ stroke: #000;
+}
diff --git a/public/app/plugins/panel/heatmap/display_editor.ts b/public/app/plugins/panel/heatmap/display_editor.ts
new file mode 100644
index 00000000000..775017b00da
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/display_editor.ts
@@ -0,0 +1,26 @@
+///
+
+export class HeatmapDisplayEditorCtrl {
+ panel: any;
+ panelCtrl: any;
+
+ /** @ngInject */
+ constructor($scope) {
+ $scope.editor = this;
+ this.panelCtrl = $scope.ctrl;
+ this.panel = this.panelCtrl.panel;
+
+ this.panelCtrl.render();
+ }
+}
+
+/** @ngInject */
+export function heatmapDisplayEditor() {
+ 'use strict';
+ return {
+ restrict: 'E',
+ scope: true,
+ templateUrl: 'public/app/plugins/panel/heatmap/partials/display_editor.html',
+ controller: HeatmapDisplayEditorCtrl,
+ };
+}
diff --git a/public/app/plugins/panel/heatmap/heatmap_ctrl.ts b/public/app/plugins/panel/heatmap/heatmap_ctrl.ts
new file mode 100644
index 00000000000..c4ad9c422dc
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/heatmap_ctrl.ts
@@ -0,0 +1,220 @@
+///
+
+import {MetricsPanelCtrl} from 'app/plugins/sdk';
+import _ from 'lodash';
+import kbn from 'app/core/utils/kbn';
+import TimeSeries from 'app/core/time_series';
+import {axesEditor} from './axes_editor';
+import {heatmapDisplayEditor} from './display_editor';
+import rendering from './rendering';
+import {convertToHeatMap, getMinLog} from './heatmap_data_converter';
+
+let X_BUCKET_NUMBER_DEFAULT = 30;
+let Y_BUCKET_NUMBER_DEFAULT = 10;
+
+let panelDefaults = {
+ heatmap: {
+ },
+ cards: {
+ cardPadding: null,
+ cardRound: null
+ },
+ color: {
+ mode: 'color',
+ cardColor: '#b4ff00',
+ colorScale: 'linear',
+ exponent: 0.5,
+ colorScheme: 'interpolateSpectral',
+ fillBackground: false
+ },
+ xBucketSize: null,
+ xBucketNumber: null,
+ yBucketSize: null,
+ yBucketNumber: null,
+ xAxis: {
+ show: true
+ },
+ yAxis: {
+ show: true,
+ format: 'short',
+ decimals: null,
+ logBase: 1,
+ splitFactor: null,
+ min: null,
+ max: null,
+ removeZeroValues: false
+ },
+ tooltip: {
+ show: true,
+ seriesStat: false,
+ showHistogram: false
+ },
+ highlightCards: true
+};
+
+let colorModes = ['opacity', 'color'];
+let opacityScales = ['linear', 'sqrt'];
+
+// Schemes from d3-scale-chromatic
+// https://github.com/d3/d3-scale-chromatic
+let colorSchemes = [
+ // Diverging
+ {name: 'Spectral', value: 'interpolateSpectral'},
+ {name: 'BrBG', value: 'interpolateBrBG'},
+ {name: 'PRGn', value: 'interpolatePRGn'},
+ {name: 'PiYG', value: 'interpolatePiYG'},
+ {name: 'PuOr', value: 'interpolatePuOr'},
+ {name: 'RdBu', value: 'interpolateRdBu'},
+ {name: 'RdGy', value: 'interpolateRdGy'},
+ {name: 'RdYlBu', value: 'interpolateRdYlBu'},
+ {name: 'RdYlGn', value: 'interpolateRdYlGn'},
+
+ // Sequential (Single Hue)
+ {name: 'Blues', value: 'interpolateBlues'},
+ {name: 'Greens', value: 'interpolateGreens'},
+ {name: 'Greys', value: 'interpolateGreys'},
+ {name: 'Oranges', value: 'interpolateOranges'},
+ {name: 'Purples', value: 'interpolatePurples'},
+ {name: 'Reds', value: 'interpolateReds'},
+
+ // Sequential (Multi-Hue)
+ {name: 'BuGn', value: 'interpolateBuGn'},
+ {name: 'BuPu', value: 'interpolateBuPu'},
+ {name: 'GnBu', value: 'interpolateGnBu'},
+ {name: 'OrRd', value: 'interpolateOrRd'},
+ {name: 'PuBuGn', value: 'interpolatePuBuGn'},
+ {name: 'PuBu', value: 'interpolatePuBu'},
+ {name: 'PuRd', value: 'interpolatePuRd'},
+ {name: 'RdPu', value: 'interpolateRdPu'},
+ {name: 'YlGnBu', value: 'interpolateYlGnBu'},
+ {name: 'YlGn', value: 'interpolateYlGn'},
+ {name: 'YlOrBr', value: 'interpolateYlOrBr'},
+ {name: 'YlOrRd', value: 'interpolateYlOrRd'}
+];
+
+export class HeatmapCtrl extends MetricsPanelCtrl {
+ static templateUrl = 'module.html';
+
+ opacityScales: any = [];
+ colorModes: any = [];
+ colorSchemes: any = [];
+ selectionActivated: boolean;
+ unitFormats: any;
+ data: any;
+ series: any;
+ timeSrv: any;
+
+ constructor($scope, $injector, private $rootScope, timeSrv) {
+ super($scope, $injector);
+ this.$rootScope = $rootScope;
+ this.timeSrv = timeSrv;
+ this.selectionActivated = false;
+
+ _.defaultsDeep(this.panel, panelDefaults);
+ this.opacityScales = opacityScales;
+ this.colorModes = colorModes;
+ this.colorSchemes = colorSchemes;
+
+ // Bind grafana panel events
+ this.events.on('render', this.onRender.bind(this));
+ this.events.on('data-received', this.onDataReceived.bind(this));
+ this.events.on('data-error', this.onDataError.bind(this));
+ this.events.on('data-snapshot-load', this.onDataReceived.bind(this));
+ this.events.on('init-edit-mode', this.onInitEditMode.bind(this));
+ }
+
+ onInitEditMode() {
+ this.addEditorTab('Axes', axesEditor, 2);
+ this.addEditorTab('Display', heatmapDisplayEditor, 3);
+ this.unitFormats = kbn.getUnitFormats();
+ }
+
+ zoomOut(evt) {
+ this.publishAppEvent('zoom-out', 2);
+ }
+
+ onRender() {
+ if (!this.range) { return; }
+
+ let xBucketSize, yBucketSize;
+ let logBase = this.panel.yAxis.logBase;
+ let xBucketNumber = this.panel.xBucketNumber || X_BUCKET_NUMBER_DEFAULT;
+ let xBucketSizeByNumber = Math.floor((this.range.to - this.range.from) / xBucketNumber);
+
+ // Parse X bucket size (number or interval)
+ let isIntervalString = kbn.interval_regex.test(this.panel.xBucketSize);
+ if (isIntervalString) {
+ xBucketSize = kbn.interval_to_ms(this.panel.xBucketSize);
+ } else if (isNaN(Number(this.panel.xBucketSize)) || this.panel.xBucketSize === '' || this.panel.xBucketSize === null) {
+ xBucketSize = xBucketSizeByNumber;
+ } else {
+ xBucketSize = Number(this.panel.xBucketSize);
+ }
+
+ // Calculate Y bucket size
+ let heatmapStats = this.parseSeries(this.series);
+ let yBucketNumber = this.panel.yBucketNumber || Y_BUCKET_NUMBER_DEFAULT;
+ if (logBase !== 1) {
+ yBucketSize = this.panel.yAxis.splitFactor;
+ } else {
+ if (heatmapStats.max === heatmapStats.min) {
+ yBucketSize = heatmapStats.max / Y_BUCKET_NUMBER_DEFAULT;
+ } else {
+ yBucketSize = (heatmapStats.max - heatmapStats.min) / yBucketNumber;
+ }
+ yBucketSize = this.panel.yBucketSize || yBucketSize;
+ }
+
+ let bucketsData = convertToHeatMap(this.series, yBucketSize, xBucketSize, logBase);
+
+ // Set default Y range if no data
+ if (!heatmapStats.min && !heatmapStats.max) {
+ heatmapStats = {min: -1, max: 1, minLog: 1};
+ yBucketSize = 1;
+ }
+
+ this.data = {
+ buckets: bucketsData,
+ heatmapStats: heatmapStats,
+ xBucketSize: xBucketSize,
+ yBucketSize: yBucketSize
+ };
+ }
+
+ onDataReceived(dataList) {
+ this.series = dataList.map(this.seriesHandler.bind(this));
+ this.render();
+ }
+
+ onDataError() {
+ this.series = [];
+ this.render();
+ }
+
+ seriesHandler(seriesData) {
+ var series = new TimeSeries({
+ datapoints: seriesData.datapoints,
+ alias: seriesData.target
+ });
+
+ series.flotpairs = series.getFlotPairs(this.panel.nullPointMode);
+ series.minLog = getMinLog(series);
+ return series;
+ }
+
+ parseSeries(series) {
+ let min = _.min(_.map(series, s => s.stats.min));
+ let minLog = _.min(_.map(series, s => s.minLog));
+ let max = _.max(_.map(series, s => s.stats.max));
+
+ return {
+ max: max,
+ min: min,
+ minLog: minLog
+ };
+ }
+
+ link(scope, elem, attrs, ctrl) {
+ rendering(scope, elem, attrs, ctrl);
+ }
+}
diff --git a/public/app/plugins/panel/heatmap/heatmap_data_converter.ts b/public/app/plugins/panel/heatmap/heatmap_data_converter.ts
new file mode 100644
index 00000000000..38d1818a24e
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/heatmap_data_converter.ts
@@ -0,0 +1,357 @@
+///
+
+import _ from 'lodash';
+
+let VALUE_INDEX = 0;
+let TIME_INDEX = 1;
+
+/**
+ * Convert set of time series into heatmap buckets
+ * @return {Object} Heatmap object:
+ * {
+ * xBucketBound_1: {
+ * x: xBucketBound_1,
+ * buckets: {
+ * yBucketBound_1: {
+ * y: yBucketBound_1,
+ * bounds: {bottom, top}
+ * values: [val_1, val_2, ..., val_K],
+ * points: [[val_Y, val_X, series_name], ..., [...]],
+ * seriesStat: {seriesName_1: val_1, seriesName_2: val_2}
+ * },
+ * ...
+ * yBucketBound_M: {}
+ * },
+ * values: [val_1, val_2, ..., val_K],
+ * points: [
+ * [val_Y, val_X, series_name], (point_1)
+ * ...
+ * [...] (point_K)
+ * ]
+ * },
+ * xBucketBound_2: {},
+ * ...
+ * xBucketBound_N: {}
+ * }
+ */
+function convertToHeatMap(series, yBucketSize, xBucketSize, logBase) {
+ let seriesBuckets = _.map(series, s => {
+ return seriesToHeatMap(s, yBucketSize, xBucketSize, logBase);
+ });
+
+ let buckets = mergeBuckets(seriesBuckets);
+ return buckets;
+}
+
+/**
+ * Convert buckets into linear array of "cards" - objects, represented heatmap elements.
+ * @param {Object} buckets
+ * @return {Array} Array of "card" objects
+ */
+function convertToCards(buckets) {
+ let cards = [];
+ _.forEach(buckets, xBucket => {
+ _.forEach(xBucket.buckets, (yBucket, key) => {
+ if (yBucket.values.length) {
+ let card = {
+ x: Number(xBucket.x),
+ y: Number(key),
+ yBounds: yBucket.bounds,
+ values: yBucket.values,
+ seriesStat: getSeriesStat(yBucket.points)
+ };
+
+ cards.push(card);
+ }
+ });
+ });
+
+ return cards;
+}
+
+/**
+ * Special method for log scales. When series converted into buckets with log scale,
+ * for simplification, 0 values are converted into 0, not into -Infinity. On the other hand, we mean
+ * that all values less than series minimum, is 0 values, and we create special "minimum" bucket for
+ * that values (actually, there're no values less than minimum, so this bucket is empty).
+ * 8-16| | ** | | * | **|
+ * 4-8| * |* *|* |** *| * |
+ * 2-4| * *| | ***| |* |
+ * 1-2|* | | | | | This bucket contains minimum series value
+ * 0.5-1|____|____|____|____|____| This bucket should be displayed as 0 on graph
+ * 0|____|____|____|____|____| This bucket is for 0 values (should actually be -Infinity)
+ * So we should merge two bottom buckets into one (0-value bucket).
+ *
+ * @param {Object} buckets Heatmap buckets
+ * @param {Number} minValue Minimum series value
+ * @return {Object} Transformed buckets
+ */
+function mergeZeroBuckets(buckets, minValue) {
+ _.forEach(buckets, xBucket => {
+ let yBuckets = xBucket.buckets;
+
+ let emptyBucket = {
+ bounds: {bottom: 0, top: 0},
+ values: [],
+ points: []
+ };
+
+ let nullBucket = yBuckets[0] || emptyBucket;
+ let minBucket = yBuckets[minValue] || emptyBucket;
+
+ let newBucket = {
+ y: 0,
+ bounds: {bottom: minValue, top: minBucket.bounds.top || minValue},
+ values: nullBucket.values.concat(minBucket.values),
+ points: nullBucket.points.concat(minBucket.points)
+ };
+
+ let newYBuckets = {};
+ _.forEach(yBuckets, (bucket, bound) => {
+ bound = Number(bound);
+ if (bound !== 0 && bound !== minValue) {
+ newYBuckets[bound] = bucket;
+ }
+ });
+ newYBuckets[0] = newBucket;
+ xBucket.buckets = newYBuckets;
+ });
+
+ return buckets;
+}
+
+/**
+ * Remove 0 values from heatmap buckets.
+ */
+function removeZeroBuckets(buckets) {
+ _.forEach(buckets, xBucket => {
+ let yBuckets = xBucket.buckets;
+ let newYBuckets = {};
+ _.forEach(yBuckets, (bucket, bound) => {
+ if (bucket.y !== 0) {
+ newYBuckets[bound] = bucket;
+ }
+ });
+ xBucket.buckets = newYBuckets;
+ });
+
+ return buckets;
+}
+
+/**
+ * Count values number for each timeseries in given bucket
+ * @param {Array} points Bucket's datapoints with series name ([val, ts, series_name])
+ * @return {Object} seriesStat: {seriesName_1: val_1, seriesName_2: val_2}
+ */
+function getSeriesStat(points) {
+ return _.countBy(points, p => p[2]);
+}
+
+/**
+ * Convert individual series to heatmap buckets
+ */
+function seriesToHeatMap(series, yBucketSize, xBucketSize, logBase = 1) {
+ let datapoints = series.datapoints;
+ let seriesName = series.label;
+ let xBuckets = {};
+
+ // Slice series into X axis buckets
+ // | | ** | | * | **|
+ // | * |* *|* |** *| * |
+ // |** *| | ***| |* |
+ // |____|____|____|____|____|_
+ //
+ _.forEach(datapoints, point => {
+ let bucketBound = getBucketBound(point[TIME_INDEX], xBucketSize);
+ pushToXBuckets(xBuckets, point, bucketBound, seriesName);
+ });
+
+ // Slice X axis buckets into Y (value) buckets
+ // | **| |2|,
+ // | * | --\ |1|,
+ // |* | --/ |1|,
+ // |____| |0|
+ //
+ _.forEach(xBuckets, xBucket => {
+ if (logBase !== 1) {
+ xBucket.buckets = convertToLogScaleValueBuckets(xBucket, yBucketSize, logBase);
+ } else {
+ xBucket.buckets = convertToValueBuckets(xBucket, yBucketSize);
+ }
+ });
+ return xBuckets;
+}
+
+function pushToXBuckets(buckets, point, bucketNum, seriesName) {
+ let value = point[VALUE_INDEX];
+ if (value === null || value === undefined || isNaN(value)) { return; }
+
+ // Add series name to point for future identification
+ point.push(seriesName);
+
+ if (buckets[bucketNum] && buckets[bucketNum].values) {
+ buckets[bucketNum].values.push(value);
+ buckets[bucketNum].points.push(point);
+ } else {
+ buckets[bucketNum] = {
+ x: bucketNum,
+ values: [value],
+ points: [point]
+ };
+ }
+}
+
+function pushToYBuckets(buckets, bucketNum, value, point, bounds) {
+ if (buckets[bucketNum]) {
+ buckets[bucketNum].values.push(value);
+ buckets[bucketNum].points.push(point);
+ } else {
+ buckets[bucketNum] = {
+ y: bucketNum,
+ bounds: bounds,
+ values: [value],
+ points: [point]
+ };
+ }
+}
+
+function getValueBucketBound(value, yBucketSize, logBase) {
+ if (logBase === 1) {
+ return getBucketBound(value, yBucketSize);
+ } else {
+ return getLogScaleBucketBound(value, yBucketSize, logBase);
+ }
+}
+
+/**
+ * Find bucket for given value (for linear scale)
+ */
+function getBucketBounds(value, bucketSize) {
+ let bottom, top;
+ bottom = Math.floor(value / bucketSize) * bucketSize;
+ top = (Math.floor(value / bucketSize) + 1) * bucketSize;
+
+ return {bottom, top};
+}
+
+function getBucketBound(value, bucketSize) {
+ let bounds = getBucketBounds(value, bucketSize);
+ return bounds.bottom;
+}
+
+function convertToValueBuckets(xBucket, bucketSize) {
+ let values = xBucket.values;
+ let points = xBucket.points;
+ let buckets = {};
+ _.forEach(values, (val, index) => {
+ let bounds = getBucketBounds(val, bucketSize);
+ let bucketNum = bounds.bottom;
+ pushToYBuckets(buckets, bucketNum, val, points[index], bounds);
+ });
+
+ return buckets;
+}
+
+/**
+ * Find bucket for given value (for log scales)
+ */
+function getLogScaleBucketBounds(value, yBucketSplitFactor, logBase) {
+ let top, bottom;
+ if (value === 0) {
+ return {bottom: 0, top: 0};
+ }
+
+ let value_log = logp(value, logBase);
+ let pow, powTop;
+ if (yBucketSplitFactor === 1 || !yBucketSplitFactor) {
+ pow = Math.floor(value_log);
+ powTop = pow + 1;
+ } else {
+ let additional_bucket_size = 1 / yBucketSplitFactor;
+ let additional_log = value_log - Math.floor(value_log);
+ additional_log = Math.floor(additional_log / additional_bucket_size) * additional_bucket_size;
+ pow = Math.floor(value_log) + additional_log;
+ powTop = pow + additional_bucket_size;
+ }
+ bottom = Math.pow(logBase, pow);
+ top = Math.pow(logBase, powTop);
+
+ return {bottom, top};
+}
+
+function getLogScaleBucketBound(value, yBucketSplitFactor, logBase) {
+ let bounds = getLogScaleBucketBounds(value, yBucketSplitFactor, logBase);
+ return bounds.bottom;
+}
+
+function convertToLogScaleValueBuckets(xBucket, yBucketSplitFactor, logBase) {
+ let values = xBucket.values;
+ let points = xBucket.points;
+
+ let buckets = {};
+ _.forEach(values, (val, index) => {
+ let bounds = getLogScaleBucketBounds(val, yBucketSplitFactor, logBase);
+ let bucketNum = bounds.bottom;
+ pushToYBuckets(buckets, bucketNum, val, points[index], bounds);
+ });
+
+ return buckets;
+}
+
+/**
+ * Merge individual buckets for all series into one
+ * @param {Array} seriesBuckets Array of series buckets
+ * @return {Object} Merged buckets.
+ */
+function mergeBuckets(seriesBuckets) {
+ let mergedBuckets = {};
+ _.forEach(seriesBuckets, (seriesBucket, index) => {
+ if (index === 0) {
+ mergedBuckets = seriesBucket;
+ } else {
+ _.forEach(seriesBucket, (xBucket, xBound) => {
+ if (mergedBuckets[xBound]) {
+ mergedBuckets[xBound].points = xBucket.points.concat(mergedBuckets[xBound].points);
+ mergedBuckets[xBound].values = xBucket.values.concat(mergedBuckets[xBound].values);
+
+ _.forEach(xBucket.buckets, (yBucket, yBound) => {
+ let bucket = mergedBuckets[xBound].buckets[yBound];
+ if (bucket && bucket.values) {
+ mergedBuckets[xBound].buckets[yBound].values = bucket.values.concat(yBucket.values);
+ mergedBuckets[xBound].buckets[yBound].points = bucket.points.concat(yBucket.points);
+ } else {
+ mergedBuckets[xBound].buckets[yBound] = yBucket;
+ }
+
+ let points = mergedBuckets[xBound].buckets[yBound].points;
+ mergedBuckets[xBound].buckets[yBound].seriesStat = getSeriesStat(points);
+ });
+ } else {
+ mergedBuckets[xBound] = xBucket;
+ }
+ });
+ }
+ });
+
+ return mergedBuckets;
+}
+
+// Get minimum non zero value.
+function getMinLog(series) {
+ let values = _.compact(_.map(series.datapoints, p => p[0]));
+ return _.min(values);
+}
+
+// Logarithm for custom base
+function logp(value, base) {
+ return Math.log(value) / Math.log(base);
+}
+
+export {
+ convertToHeatMap,
+ convertToCards,
+ removeZeroBuckets,
+ mergeZeroBuckets,
+ getMinLog,
+ getValueBucketBound
+};
diff --git a/public/app/plugins/panel/heatmap/heatmap_tooltip.ts b/public/app/plugins/panel/heatmap/heatmap_tooltip.ts
new file mode 100644
index 00000000000..62d03a503c3
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/heatmap_tooltip.ts
@@ -0,0 +1,248 @@
+///
+
+import d3 from 'd3';
+import $ from 'jquery';
+import _ from 'lodash';
+import kbn from 'app/core/utils/kbn';
+import {getValueBucketBound} from './heatmap_data_converter';
+
+let TOOLTIP_PADDING_X = 30;
+let TOOLTIP_PADDING_Y = 5;
+let HISTOGRAM_WIDTH = 160;
+let HISTOGRAM_HEIGHT = 40;
+
+export class HeatmapTooltip {
+ tooltip: any;
+ scope: any;
+ dashboard: any;
+ panel: any;
+ heatmapPanel: any;
+ mouseOverBucket: boolean;
+ originalFillColor: any;
+
+ constructor(elem, scope) {
+ this.scope = scope;
+ this.dashboard = scope.ctrl.dashboard;
+ this.panel = scope.ctrl.panel;
+ this.heatmapPanel = elem;
+ this.mouseOverBucket = false;
+ this.originalFillColor = null;
+
+ elem.on("mouseover", this.onMouseOver.bind(this));
+ elem.on("mouseleave", this.onMouseLeave.bind(this));
+ }
+
+ onMouseOver(e) {
+ if (!this.tooltip) {
+ this.add();
+ this.move(e);
+ }
+ }
+
+ onMouseLeave() {
+ this.destroy();
+ }
+
+ onMouseMove(e) {
+ if (!this.panel.tooltip.show) { return; }
+
+ this.move(e);
+ }
+
+ add() {
+ this.tooltip = d3.select("body")
+ .append("div")
+ .attr("class", "heatmap-tooltip");
+ }
+
+ destroy() {
+ if (this.tooltip) {
+ this.tooltip.remove();
+ }
+
+ this.tooltip = null;
+ }
+
+ show(pos, data) {
+ if (!this.panel.tooltip.show || !data) { return; }
+
+ let {xBucketIndex, yBucketIndex} = this.getBucketIndexes(pos, data);
+
+ if (!data.buckets[xBucketIndex] || !this.tooltip) {
+ this.destroy();
+ return;
+ }
+
+ let boundBottom, boundTop, valuesNumber;
+ let xData = data.buckets[xBucketIndex];
+ let yData = xData.buckets[yBucketIndex];
+
+ let tooltipTimeFormat = 'YYYY-MM-DD HH:mm:ss';
+ let time = this.dashboard.formatDate(xData.x, tooltipTimeFormat);
+ let decimals = this.panel.tooltipDecimals || 5;
+ let valueFormatter = this.valueFormatter(decimals);
+
+ let tooltipHtml = `${time}
+ `;
+
+ if (yData) {
+ boundBottom = valueFormatter(yData.bounds.bottom);
+ boundTop = valueFormatter(yData.bounds.top);
+ valuesNumber = yData.values.length;
+ tooltipHtml += `
+ bucket: ${boundBottom} - ${boundTop}
+ values: ${valuesNumber}
+
`;
+
+ if (this.panel.tooltip.seriesStat && yData.seriesStat) {
+ tooltipHtml = this.addSeriesStat(tooltipHtml, yData.seriesStat);
+ }
+ } else {
+ if (!this.panel.tooltip.showHistogram) {
+ this.destroy();
+ return;
+ }
+ boundBottom = yBucketIndex;
+ boundTop = '';
+ valuesNumber = 0;
+ }
+
+ this.tooltip.html(tooltipHtml);
+
+ if (this.panel.tooltip.showHistogram) {
+ this.addHistogram(xData);
+ }
+
+ this.move(pos);
+ }
+
+ getBucketIndexes(pos, data) {
+ let xBucketIndex, yBucketIndex;
+
+ // if panelRelY is defined another panel wants us to show a tooltip
+ if (pos.panelRelY) {
+ xBucketIndex = getValueBucketBound(pos.x, data.xBucketSize, 1);
+ let y = this.scope.yScale.invert(pos.panelRelY * this.scope.chartHeight);
+ yBucketIndex = getValueBucketBound(y, data.yBucketSize, this.panel.yAxis.logBase);
+ pos = this.getSharedTooltipPos(pos);
+
+ if (!this.tooltip) {
+ // Add shared tooltip for panel
+ this.add();
+ }
+ } else {
+ xBucketIndex = this.getXBucketIndex(pos.offsetX, data);
+ yBucketIndex = this.getYBucketIndex(pos.offsetY, data);
+ }
+
+ return {xBucketIndex, yBucketIndex};
+ }
+
+ getXBucketIndex(offsetX, data) {
+ let x = this.scope.xScale.invert(offsetX - this.scope.yAxisWidth).valueOf();
+ let xBucketIndex = getValueBucketBound(x, data.xBucketSize, 1);
+ return xBucketIndex;
+ }
+
+ getYBucketIndex(offsetY, data) {
+ let y = this.scope.yScale.invert(offsetY - this.scope.chartTop);
+ let yBucketIndex = getValueBucketBound(y, data.yBucketSize, this.panel.yAxis.logBase);
+ return yBucketIndex;
+ }
+
+ getSharedTooltipPos(pos) {
+ // get pageX from position on x axis and pageY from relative position in original panel
+ pos.pageX = this.heatmapPanel.offset().left + this.scope.xScale(pos.x);
+ pos.pageY = this.heatmapPanel.offset().top + this.scope.chartHeight * pos.panelRelY;
+ return pos;
+ }
+
+ addSeriesStat(tooltipHtml, seriesStat) {
+ tooltipHtml += "series:
";
+ _.forEach(seriesStat, (values, series) => {
+ tooltipHtml += ` - ${series}: ${values}
`;
+ });
+
+ return tooltipHtml;
+ }
+
+ addHistogram(data) {
+ let xBucket = this.scope.ctrl.data.buckets[data.x];
+ let yBucketSize = this.scope.ctrl.data.yBucketSize;
+ let {min, max, ticks} = this.scope.ctrl.data.yAxis;
+ let histogramData = _.map(xBucket.buckets, bucket => {
+ return [bucket.y, bucket.values.length];
+ });
+ histogramData = _.filter(histogramData, d => {
+ return d[0] >= min && d[0] <= max;
+ });
+
+ let scale = this.scope.yScale.copy();
+ let histXScale = scale
+ .domain([min, max])
+ .range([0, HISTOGRAM_WIDTH]);
+
+ let barWidth;
+ if (this.panel.yAxis.logBase === 1) {
+ barWidth = Math.floor(HISTOGRAM_WIDTH / (max - min) * yBucketSize * 0.9);
+ } else {
+ barWidth = Math.floor(HISTOGRAM_WIDTH / ticks / yBucketSize * 0.9);
+ }
+ barWidth = Math.max(barWidth, 1);
+
+ let histYScale = d3.scaleLinear()
+ .domain([0, _.max(_.map(histogramData, d => d[1]))])
+ .range([0, HISTOGRAM_HEIGHT]);
+
+ let histogram = this.tooltip.select(".heatmap-histogram")
+ .append("svg")
+ .attr("width", HISTOGRAM_WIDTH)
+ .attr("height", HISTOGRAM_HEIGHT);
+
+ histogram.selectAll(".bar").data(histogramData)
+ .enter().append("rect")
+ .attr("x", d => {
+ return histXScale(d[0]);
+ })
+ .attr("width", barWidth)
+ .attr("y", d => {
+ return HISTOGRAM_HEIGHT - histYScale(d[1]);
+ })
+ .attr("height", d => {
+ return histYScale(d[1]);
+ });
+ }
+
+ move(pos) {
+ if (!this.tooltip) { return; }
+
+ let elem = $(this.tooltip.node())[0];
+ let tooltipWidth = elem.clientWidth;
+ let tooltipHeight = elem.clientHeight;
+
+ let left = pos.pageX + TOOLTIP_PADDING_X;
+ let top = pos.pageY + TOOLTIP_PADDING_Y;
+
+ if (pos.pageX + tooltipWidth + 40 > window.innerWidth) {
+ left = pos.pageX - tooltipWidth - TOOLTIP_PADDING_X;
+ }
+
+ if (pos.pageY - window.pageYOffset + tooltipHeight + 20 > window.innerHeight) {
+ top = pos.pageY - tooltipHeight - TOOLTIP_PADDING_Y;
+ }
+
+ return this.tooltip
+ .style("left", left + "px")
+ .style("top", top + "px");
+ }
+
+ valueFormatter(decimals) {
+ let format = this.panel.yAxis.format;
+ return function(value) {
+ if (_.isInteger(value)) {
+ decimals = 0;
+ }
+ return kbn.valueFormats[format](value, decimals);
+ };
+ }
+}
diff --git a/public/app/plugins/panel/heatmap/img/icn-heatmap-panel.svg b/public/app/plugins/panel/heatmap/img/icn-heatmap-panel.svg
new file mode 100644
index 00000000000..29838f76ca6
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/img/icn-heatmap-panel.svg
@@ -0,0 +1,195 @@
+
+
+
+
\ No newline at end of file
diff --git a/public/app/plugins/panel/heatmap/module.html b/public/app/plugins/panel/heatmap/module.html
new file mode 100644
index 00000000000..d88681a38b8
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/module.html
@@ -0,0 +1,7 @@
+
+
diff --git a/public/app/plugins/panel/heatmap/module.ts b/public/app/plugins/panel/heatmap/module.ts
new file mode 100644
index 00000000000..2715b95f916
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/module.ts
@@ -0,0 +1,13 @@
+///
+
+import {loadPluginCss} from 'app/plugins/sdk';
+import {HeatmapCtrl} from './heatmap_ctrl';
+
+// loadPluginCss({
+// dark: 'public/app/plugins/panel/heatmap/css/heatmap.dark.css',
+// light: 'public/app/plugins/panel/heatmap/css/heatmap.light.css'
+// });
+
+export {
+ HeatmapCtrl as PanelCtrl
+};
diff --git a/public/app/plugins/panel/heatmap/partials/axes_editor.html b/public/app/plugins/panel/heatmap/partials/axes_editor.html
new file mode 100644
index 00000000000..f9a0464d381
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/partials/axes_editor.html
@@ -0,0 +1,85 @@
+
diff --git a/public/app/plugins/panel/heatmap/partials/display_editor.html b/public/app/plugins/panel/heatmap/partials/display_editor.html
new file mode 100644
index 00000000000..530a7ecbcf9
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/partials/display_editor.html
@@ -0,0 +1,93 @@
+
diff --git a/public/app/plugins/panel/heatmap/plugin.json b/public/app/plugins/panel/heatmap/plugin.json
new file mode 100644
index 00000000000..bee509467a7
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/plugin.json
@@ -0,0 +1,16 @@
+{
+ "type": "panel",
+ "name": "Heatmap",
+ "id": "heatmap",
+
+ "info": {
+ "author": {
+ "name": "Grafana Project",
+ "url": "https://grafana.com"
+ },
+ "logos": {
+ "small": "img/icn-heatmap-panel.svg",
+ "large": "img/icn-heatmap-panel.svg"
+ }
+ }
+}
diff --git a/public/app/plugins/panel/heatmap/rendering.ts b/public/app/plugins/panel/heatmap/rendering.ts
new file mode 100644
index 00000000000..9c5b36b8857
--- /dev/null
+++ b/public/app/plugins/panel/heatmap/rendering.ts
@@ -0,0 +1,861 @@
+///
+
+import _ from 'lodash';
+import $ from 'jquery';
+import moment from 'moment';
+import kbn from 'app/core/utils/kbn';
+import {appEvents} from 'app/core/core';
+import d3 from 'd3';
+import {HeatmapTooltip} from './heatmap_tooltip';
+import {convertToCards, mergeZeroBuckets, removeZeroBuckets} from './heatmap_data_converter';
+
+let MIN_CARD_SIZE = 1,
+ CARD_PADDING = 1,
+ CARD_ROUND = 0,
+ DATA_RANGE_WIDING_FACTOR = 1.2,
+ DEFAULT_X_TICK_SIZE_PX = 100,
+ DEFAULT_Y_TICK_SIZE_PX = 50,
+ X_AXIS_TICK_PADDING = 10,
+ Y_AXIS_TICK_PADDING = 5,
+ MIN_SELECTION_WIDTH = 2;
+
+export default function link(scope, elem, attrs, ctrl) {
+ let data, timeRange, panel, heatmap;
+
+ // $heatmap is JQuery object, but heatmap is D3
+ let $heatmap = elem.find('.heatmap-panel');
+ let tooltip = new HeatmapTooltip($heatmap, scope);
+
+ let width, height,
+ yScale, xScale,
+ chartWidth, chartHeight,
+ chartTop, chartBottom,
+ yAxisWidth, xAxisHeight,
+ cardPadding, cardRound,
+ cardWidth, cardHeight,
+ colorScale, opacityScale,
+ mouseUpHandler;
+
+ let selection = {
+ active: false,
+ x1: -1,
+ x2: -1
+ };
+
+ let padding = {left: 0, right: 0, top: 0, bottom: 0},
+ margin = {left: 25, right: 15, top: 10, bottom: 20},
+ dataRangeWidingFactor = DATA_RANGE_WIDING_FACTOR;
+
+ ctrl.events.on('render', () => {
+ render();
+ ctrl.renderingCompleted();
+ });
+
+ function setElementHeight() {
+ try {
+ var height = ctrl.height || panel.height || ctrl.row.height;
+ if (_.isString(height)) {
+ height = parseInt(height.replace('px', ''), 10);
+ }
+
+ height -= 5; // padding
+ height -= panel.title ? 24 : 9; // subtract panel title bar
+
+ $heatmap.css('height', height + 'px');
+
+ return true;
+ } catch (e) { // IE throws errors sometimes
+ return false;
+ }
+ }
+
+ function getYAxisWidth(elem) {
+ let axis_text = elem.selectAll(".axis-y text").nodes();
+ let max_text_width = _.max(_.map(axis_text, text => {
+ let el = $(text);
+ // Use JQuery outerWidth() to compute full element width
+ return el.outerWidth();
+ }));
+
+ return max_text_width;
+ }
+
+ function getXAxisHeight(elem) {
+ let axis_line = elem.select(".axis-x line");
+ if (!axis_line.empty()) {
+ let axis_line_position = parseFloat(elem.select(".axis-x line").attr("y2"));
+ let canvas_width = parseFloat(elem.attr("height"));
+ return canvas_width - axis_line_position;
+ } else {
+ // Default height
+ return 30;
+ }
+ }
+
+ function addXAxis() {
+ xScale = d3.scaleTime()
+ .domain([timeRange.from, timeRange.to])
+ .range([0, chartWidth]);
+
+ let ticks = chartWidth / DEFAULT_X_TICK_SIZE_PX;
+ let grafanaTimeFormatter = grafanaTimeFormat(ticks, timeRange.from, timeRange.to);
+
+ let xAxis = d3.axisBottom(xScale)
+ .ticks(ticks)
+ .tickFormat(d3.timeFormat(grafanaTimeFormatter))
+ .tickPadding(X_AXIS_TICK_PADDING)
+ .tickSize(chartHeight);
+
+ let posY = margin.top;
+ let posX = yAxisWidth;
+ heatmap.append("g")
+ .attr("class", "axis axis-x")
+ .attr("transform", "translate(" + posX + "," + posY + ")")
+ .call(xAxis);
+
+ // Remove horizontal line in the top of axis labels (called domain in d3)
+ heatmap.select(".axis-x").select(".domain").remove();
+ }
+
+ function addYAxis() {
+ let ticks = Math.ceil(chartHeight / DEFAULT_Y_TICK_SIZE_PX);
+ let tick_interval = tickStep(data.heatmapStats.min, data.heatmapStats.max, ticks);
+ let {y_min, y_max} = wideYAxisRange(data.heatmapStats.min, data.heatmapStats.max, tick_interval);
+
+ // Rewrite min and max if it have been set explicitly
+ y_min = panel.yAxis.min !== null ? panel.yAxis.min : y_min;
+ y_max = panel.yAxis.max !== null ? panel.yAxis.max : y_max;
+
+ // Adjust ticks after Y range widening
+ tick_interval = tickStep(y_min, y_max, ticks);
+ ticks = Math.ceil((y_max - y_min) / tick_interval);
+
+ let decimals = panel.yAxis.decimals === null ? getPrecision(tick_interval) : panel.yAxis.decimals;
+
+ // Set default Y min and max if no data
+ if (_.isEmpty(data.buckets)) {
+ y_max = 1;
+ y_min = -1;
+ ticks = 3;
+ decimals = 1;
+ }
+
+ data.yAxis = {
+ min: y_min,
+ max: y_max,
+ ticks: ticks
+ };
+
+ yScale = d3.scaleLinear()
+ .domain([y_min, y_max])
+ .range([chartHeight, 0]);
+
+ let yAxis = d3.axisLeft(yScale)
+ .ticks(ticks)
+ .tickFormat(tickValueFormatter(decimals))
+ .tickSizeInner(0 - width)
+ .tickSizeOuter(0)
+ .tickPadding(Y_AXIS_TICK_PADDING);
+
+ heatmap.append("g")
+ .attr("class", "axis axis-y")
+ .call(yAxis);
+
+ // Calculate Y axis width first, then move axis into visible area
+ let posY = margin.top;
+ let posX = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;
+ heatmap.select(".axis-y").attr("transform", "translate(" + posX + "," + posY + ")");
+
+ // Remove vertical line in the right of axis labels (called domain in d3)
+ heatmap.select(".axis-y").select(".domain").remove();
+ }
+
+ // Wide Y values range and anjust to bucket size
+ function wideYAxisRange(min, max, tickInterval) {
+ let y_widing = (max * (dataRangeWidingFactor - 1) - min * (dataRangeWidingFactor - 1)) / 2;
+ let y_min, y_max;
+
+ if (tickInterval === 0) {
+ y_max = max * dataRangeWidingFactor;
+ y_min = min - min * (dataRangeWidingFactor - 1);
+ tickInterval = (y_max - y_min) / 2;
+ } else {
+ y_max = Math.ceil((max + y_widing) / tickInterval) * tickInterval;
+ y_min = Math.floor((min - y_widing) / tickInterval) * tickInterval;
+ }
+
+ // Don't wide axis below 0 if all values are positive
+ if (min >= 0 && y_min < 0) {
+ y_min = 0;
+ }
+
+ return {y_min, y_max};
+ }
+
+ function addLogYAxis() {
+ let log_base = panel.yAxis.logBase;
+ let {y_min, y_max} = adjustLogRange(data.heatmapStats.minLog, data.heatmapStats.max, log_base);
+
+ y_min = panel.yAxis.min !== null ? adjustLogMin(panel.yAxis.min, log_base) : y_min;
+ y_max = panel.yAxis.max !== null ? adjustLogMax(panel.yAxis.max, log_base) : y_max;
+
+ // Set default Y min and max if no data
+ if (_.isEmpty(data.buckets)) {
+ y_max = Math.pow(log_base, 2);
+ y_min = 1;
+ }
+
+ yScale = d3.scaleLog()
+ .base(panel.yAxis.logBase)
+ .domain([y_min, y_max])
+ .range([chartHeight, 0]);
+
+ let domain = yScale.domain();
+ let tick_values = logScaleTickValues(domain, log_base);
+ let decimals = panel.yAxis.decimals;
+
+ data.yAxis = {
+ min: y_min,
+ max: y_max,
+ ticks: tick_values.length
+ };
+
+ let yAxis = d3.axisLeft(yScale)
+ .tickValues(tick_values)
+ .tickFormat(tickValueFormatter(decimals))
+ .tickSizeInner(0 - width)
+ .tickSizeOuter(0)
+ .tickPadding(Y_AXIS_TICK_PADDING);
+
+ heatmap.append("g")
+ .attr("class", "axis axis-y")
+ .call(yAxis);
+
+ // Calculate Y axis width first, then move axis into visible area
+ let posY = margin.top;
+ let posX = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;
+ heatmap.select(".axis-y").attr("transform", "translate(" + posX + "," + posY + ")");
+
+ // Set first tick as pseudo 0
+ if (y_min < 1) {
+ heatmap.select(".axis-y").select(".tick text").text("0");
+ }
+
+ // Remove vertical line in the right of axis labels (called domain in d3)
+ heatmap.select(".axis-y").select(".domain").remove();
+ }
+
+ // Adjust data range to log base
+ function adjustLogRange(min, max, logBase) {
+ let y_min, y_max;
+
+ y_min = data.heatmapStats.minLog;
+ if (data.heatmapStats.minLog > 1 || !data.heatmapStats.minLog) {
+ y_min = 1;
+ } else {
+ y_min = adjustLogMin(data.heatmapStats.minLog, logBase);
+ }
+
+ // Adjust max Y value to log base
+ y_max = adjustLogMax(data.heatmapStats.max, logBase);
+
+ return {y_min, y_max};
+ }
+
+ function adjustLogMax(max, base) {
+ return Math.pow(base, Math.ceil(logp(max, base)));
+ }
+
+ function adjustLogMin(min, base) {
+ return Math.pow(base, Math.floor(logp(min, base)));
+ }
+
+ function logScaleTickValues(domain, base) {
+ let domainMin = domain[0];
+ let domainMax = domain[1];
+ let tickValues = [];
+
+ if (domainMin < 1) {
+ let under_one_ticks = Math.floor(logp(domainMin, base));
+ for (let i = under_one_ticks; i < 0; i++) {
+ let tick_value = Math.pow(base, i);
+ tickValues.push(tick_value);
+ }
+ }
+
+ let ticks = Math.ceil(logp(domainMax, base));
+ for (let i = 0; i <= ticks; i++) {
+ let tick_value = Math.pow(base, i);
+ tickValues.push(tick_value);
+ }
+
+ return tickValues;
+ }
+
+ function tickValueFormatter(decimals) {
+ let format = panel.yAxis.format;
+ return function(value) {
+ return kbn.valueFormats[format](value, decimals);
+ };
+ }
+
+ function fixYAxisTickSize() {
+ heatmap.select(".axis-y")
+ .selectAll(".tick line")
+ .attr("x2", chartWidth);
+ }
+
+ function addAxes() {
+ chartHeight = height - margin.top - margin.bottom;
+ chartTop = margin.top;
+ chartBottom = chartTop + chartHeight;
+
+ if (panel.yAxis.logBase === 1) {
+ addYAxis();
+ } else {
+ addLogYAxis();
+ }
+
+ yAxisWidth = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;
+ chartWidth = width - yAxisWidth - margin.right;
+ fixYAxisTickSize();
+
+ addXAxis();
+ xAxisHeight = getXAxisHeight(heatmap);
+
+ if (!panel.yAxis.show) {
+ heatmap.select(".axis-y").selectAll("line").style("opacity", 0);
+ }
+
+ if (!panel.xAxis.show) {
+ heatmap.select(".axis-x").selectAll("line").style("opacity", 0);
+ }
+ }
+
+ function addHeatmapCanvas() {
+ let heatmap_elem = $heatmap[0];
+ width = heatmap_elem.clientWidth - padding.right;
+ height = heatmap_elem.clientHeight - padding.bottom;
+ cardPadding = panel.cards.cardPadding !== null ? panel.cards.cardPadding : CARD_PADDING;
+ cardRound = panel.cards.cardRound !== null ? panel.cards.cardRound : CARD_ROUND;
+
+ if (heatmap) {
+ heatmap.remove();
+ }
+
+ heatmap = d3.select(heatmap_elem)
+ .append("svg")
+ .attr("width", width)
+ .attr("height", height);
+ }
+
+ function addHeatmap() {
+ addHeatmapCanvas();
+ addAxes();
+
+ if (panel.yAxis.logBase !== 1) {
+ if (panel.yAxis.removeZeroValues) {
+ data.buckets = removeZeroBuckets(data.buckets);
+ } else {
+ let log_base = panel.yAxis.logBase;
+ let domain = yScale.domain();
+ let tick_values = logScaleTickValues(domain, log_base);
+ data.buckets = mergeZeroBuckets(data.buckets, _.min(tick_values));
+ }
+ }
+ let cardsData = convertToCards(data.buckets);
+
+ let max_value = d3.max(cardsData, card => {
+ return card.values.length;
+ });
+
+ setColorScale(max_value);
+ setOpacityScale(max_value);
+ setCardSize();
+
+ if (panel.color.fillBackground && panel.color.mode === 'color') {
+ fillBackground(heatmap, colorScale(0));
+ }
+
+ let cards = heatmap.selectAll(".heatmap-card").data(cardsData);
+ cards.append("title");
+ cards = cards.enter().append("rect")
+ .attr("x", getCardX)
+ .attr("width", getCardWidth)
+ .attr("y", getCardY)
+ .attr("height", getCardHeight)
+ .attr("rx", cardRound)
+ .attr("ry", cardRound)
+ .attr("class", "bordered heatmap-card")
+ .style("fill", getCardColor)
+ .style("stroke", getCardColor)
+ .style("stroke-width", 0)
+ .style("opacity", getCardOpacity);
+
+ let $cards = $heatmap.find(".heatmap-card");
+ $cards.on("mouseenter", (event) => {
+ tooltip.mouseOverBucket = true;
+ highlightCard(event);
+ })
+ .on("mouseleave", (event) => {
+ tooltip.mouseOverBucket = false;
+ resetCardHighLight(event);
+ });
+ }
+
+ function highlightCard(event) {
+ if (panel.highlightCards) {
+ let color = d3.select(event.target).style("fill");
+ let highlightColor = d3.color(color).darker(2);
+ let strokeColor = d3.color(color).brighter(4);
+ let current_card = d3.select(event.target);
+ tooltip.originalFillColor = color;
+ current_card.style("fill", highlightColor)
+ .style("stroke", strokeColor)
+ .style("stroke-width", 1);
+ }
+ }
+
+ function resetCardHighLight(event) {
+ if (panel.highlightCards) {
+ d3.select(event.target).style("fill", tooltip.originalFillColor)
+ .style("stroke", tooltip.originalFillColor)
+ .style("stroke-width", 0);
+ }
+ }
+
+ function setColorScale(max_value) {
+ let colorInterpolator = d3[panel.color.colorScheme];
+ colorScale = d3.scaleSequential(colorInterpolator).domain([0, max_value]);
+ }
+
+ function setOpacityScale(max_value) {
+ if (panel.color.colorScale === 'linear') {
+ opacityScale = d3.scaleLinear()
+ .domain([0, max_value])
+ .range([0, 1]);
+ } else if (panel.color.colorScale === 'sqrt') {
+ opacityScale = d3.scalePow().exponent(panel.color.exponent)
+ .domain([0, max_value])
+ .range([0, 1]);
+ }
+ }
+
+ function setCardSize() {
+ let xGridSize = Math.floor(xScale(data.xBucketSize) - xScale(0));
+ let yGridSize = Math.floor(yScale(yScale.invert(0) - data.yBucketSize));
+
+ if (panel.yAxis.logBase !== 1) {
+ let base = panel.yAxis.logBase;
+ let splitFactor = panel.yAxis.splitFactor || 1;
+ yGridSize = Math.floor((yScale(1) - yScale(base)) / splitFactor);
+ }
+
+ cardWidth = xGridSize - cardPadding * 2;
+ cardHeight = yGridSize ? yGridSize - cardPadding * 2 : 0;
+ }
+
+ function getCardX(d) {
+ let x;
+ if (xScale(d.x) < 0) {
+ // Cut card left to prevent overlay
+ x = yAxisWidth + cardPadding;
+ } else {
+ x = xScale(d.x) + yAxisWidth + cardPadding;
+ }
+
+ return x;
+ }
+
+ function getCardWidth(d) {
+ let w;
+ if (xScale(d.x) < 0) {
+ // Cut card left to prevent overlay
+ let cutted_width = xScale(d.x) + cardWidth;
+ w = cutted_width > 0 ? cutted_width : 0;
+ } else if (xScale(d.x) + cardWidth > chartWidth) {
+ // Cut card right to prevent overlay
+ w = chartWidth - xScale(d.x) - cardPadding;
+ } else {
+ w = cardWidth;
+ }
+
+ // Card width should be MIN_CARD_SIZE at least
+ w = Math.max(w, MIN_CARD_SIZE);
+ return w;
+ }
+
+ function getCardY(d) {
+ let y = yScale(d.y) + chartTop - cardHeight - cardPadding;
+ if (panel.yAxis.logBase !== 1 && d.y === 0) {
+ y = chartBottom - cardHeight - cardPadding;
+ } else {
+ if (y < chartTop) {
+ y = chartTop;
+ }
+ }
+
+ return y;
+ }
+
+ function getCardHeight(d) {
+ let y = yScale(d.y) + chartTop - cardHeight - cardPadding;
+ let h = cardHeight;
+
+ if (panel.yAxis.logBase !== 1 && d.y === 0) {
+ return cardHeight;
+ }
+
+ // Cut card height to prevent overlay
+ if (y < chartTop) {
+ h = yScale(d.y) - cardPadding;
+ } else if (yScale(d.y) > chartBottom) {
+ h = chartBottom - y;
+ } else if (y + cardHeight > chartBottom) {
+ h = chartBottom - y;
+ }
+
+ // Height can't be more than chart height
+ h = Math.min(h, chartHeight);
+ // Card height should be MIN_CARD_SIZE at least
+ h = Math.max(h, MIN_CARD_SIZE);
+
+ return h;
+ }
+
+ function getCardColor(d) {
+ if (panel.color.mode === 'opacity') {
+ return panel.color.cardColor;
+ } else {
+ return colorScale(d.values.length);
+ }
+ }
+
+ function getCardOpacity(d) {
+ if (panel.color.mode === 'opacity') {
+ return opacityScale(d.values.length);
+ } else {
+ return 1;
+ }
+ }
+
+ function fillBackground(heatmap, color) {
+ heatmap.insert("rect", "g")
+ .attr("x", yAxisWidth)
+ .attr("y", margin.top)
+ .attr("width", chartWidth)
+ .attr("height", chartHeight)
+ .attr("fill", color);
+ }
+
+ /////////////////////////////
+ // Selection and crosshair //
+ /////////////////////////////
+
+ // Shared crosshair and tooltip
+ appEvents.on('graph-hover', event => {
+ drawSharedCrosshair(event.pos);
+
+ // Show shared tooltip
+ if (ctrl.dashboard.graphTooltip === 2) {
+ tooltip.show(event.pos, data);
+ }
+ });
+
+ appEvents.on('graph-hover-clear', () => {
+ clearCrosshair();
+ tooltip.destroy();
+ });
+
+ function onMouseDown(event) {
+ selection.active = true;
+ selection.x1 = event.offsetX;
+
+ mouseUpHandler = function() {
+ onMouseUp();
+ };
+ $(document).one("mouseup", mouseUpHandler);
+ }
+
+ function onMouseUp() {
+ $(document).unbind("mouseup", mouseUpHandler);
+ mouseUpHandler = null;
+ selection.active = false;
+
+ let selectionRange = Math.abs(selection.x2 - selection.x1);
+ if (selection.x2 >= 0 && selectionRange > MIN_SELECTION_WIDTH) {
+ let timeFrom = xScale.invert(Math.min(selection.x1, selection.x2) - yAxisWidth);
+ let timeTo = xScale.invert(Math.max(selection.x1, selection.x2) - yAxisWidth);
+
+ ctrl.timeSrv.setTime({
+ from: moment.utc(timeFrom),
+ to: moment.utc(timeTo)
+ });
+ }
+
+ clearSelection();
+ }
+
+ function onMouseLeave() {
+ appEvents.emit('graph-hover-clear');
+ clearCrosshair();
+ }
+
+ function onMouseMove(event) {
+ if (!heatmap) { return; }
+
+ if (selection.active) {
+ // Clear crosshair and tooltip
+ clearCrosshair();
+ tooltip.destroy();
+
+ selection.x2 = limitSelection(event.offsetX);
+ drawSelection(selection.x1, selection.x2);
+ } else {
+ emitGraphHoverEvet(event);
+ drawCrosshair(event.offsetX);
+ tooltip.show(event, data);
+ }
+ }
+
+ function emitGraphHoverEvet(event) {
+ let x = xScale.invert(event.offsetX - yAxisWidth).valueOf();
+ let y = yScale.invert(event.offsetY);
+ let pos = {
+ pageX: event.pageX,
+ pageY: event.pageY,
+ x: x, x1: x,
+ y: y, y1: y,
+ panelRelY: null
+ };
+
+ // Set minimum offset to prevent showing legend from another panel
+ pos.panelRelY = Math.max(event.offsetY / height, 0.001);
+
+ // broadcast to other graph panels that we are hovering
+ appEvents.emit('graph-hover', {pos: pos, panel: panel});
+ }
+
+ function limitSelection(x2) {
+ x2 = Math.max(x2, yAxisWidth);
+ x2 = Math.min(x2, chartWidth + yAxisWidth);
+ return x2;
+ }
+
+ function drawSelection(posX1, posX2) {
+ if (heatmap) {
+ heatmap.selectAll(".heatmap-selection").remove();
+ let selectionX = Math.min(posX1, posX2);
+ let selectionWidth = Math.abs(posX1 - posX2);
+
+ if (selectionWidth > MIN_SELECTION_WIDTH) {
+ heatmap.append("rect")
+ .attr("class", "heatmap-selection")
+ .attr("x", selectionX)
+ .attr("width", selectionWidth)
+ .attr("y", chartTop)
+ .attr("height", chartHeight);
+ }
+ }
+ }
+
+ function clearSelection() {
+ selection.x1 = -1;
+ selection.x2 = -1;
+
+ if (heatmap) {
+ heatmap.selectAll(".heatmap-selection").remove();
+ }
+ }
+
+ function drawCrosshair(position) {
+ if (heatmap) {
+ heatmap.selectAll(".heatmap-crosshair").remove();
+
+ let posX = position;
+ posX = Math.max(posX, yAxisWidth);
+ posX = Math.min(posX, chartWidth + yAxisWidth);
+
+ heatmap.append("g")
+ .attr("class", "heatmap-crosshair")
+ .attr("transform", "translate(" + posX + ",0)")
+ .append("line")
+ .attr("x1", 1)
+ .attr("y1", chartTop)
+ .attr("x2", 1)
+ .attr("y2", chartBottom)
+ .attr("stroke-width", 1);
+ }
+ }
+
+ function drawSharedCrosshair(pos) {
+ if (heatmap && ctrl.dashboard.graphTooltip !== 0) {
+ let posX = xScale(pos.x) + yAxisWidth;
+ drawCrosshair(posX);
+ }
+ }
+
+ function clearCrosshair() {
+ if (heatmap) {
+ heatmap.selectAll(".heatmap-crosshair").remove();
+ }
+ }
+
+ function drawColorLegend() {
+ d3.select("#heatmap-color-legend").selectAll("rect").remove();
+
+ let legend = d3.select("#heatmap-color-legend");
+ let legendWidth = Math.floor($(d3.select("#heatmap-color-legend").node()).outerWidth());
+ let legendHeight = d3.select("#heatmap-color-legend").attr("height");
+
+ let colorInterpolator = d3[panel.color.colorScheme];
+ let legendColorScale = d3.scaleSequential(colorInterpolator).domain([0, legendWidth]);
+
+ let rangeStep = 2;
+ let valuesRange = d3.range(0, legendWidth, rangeStep);
+ var legendRects = legend.selectAll(".heatmap-color-legend-rect").data(valuesRange);
+
+ legendRects.enter().append("rect")
+ .attr("x", d => d)
+ .attr("y", 0)
+ .attr("width", rangeStep + 1) // Overlap rectangles to prevent gaps
+ .attr("height", legendHeight)
+ .attr("stroke-width", 0)
+ .attr("fill", d => {
+ return legendColorScale(d);
+ });
+ }
+
+ function drawOpacityLegend() {
+ d3.select("#heatmap-opacity-legend").selectAll("rect").remove();
+
+ let legend = d3.select("#heatmap-opacity-legend");
+ let legendWidth = Math.floor($(d3.select("#heatmap-opacity-legend").node()).outerWidth());
+ let legendHeight = d3.select("#heatmap-opacity-legend").attr("height");
+
+ let legendOpacityScale;
+ if (panel.color.colorScale === 'linear') {
+ legendOpacityScale = d3.scaleLinear()
+ .domain([0, legendWidth])
+ .range([0, 1]);
+ } else if (panel.color.colorScale === 'sqrt') {
+ legendOpacityScale = d3.scalePow().exponent(panel.color.exponent)
+ .domain([0, legendWidth])
+ .range([0, 1]);
+ }
+
+ let rangeStep = 1;
+ let valuesRange = d3.range(0, legendWidth, rangeStep);
+ var legendRects = legend.selectAll(".heatmap-opacity-legend-rect").data(valuesRange);
+
+ legendRects.enter().append("rect")
+ .attr("x", d => d)
+ .attr("y", 0)
+ .attr("width", rangeStep)
+ .attr("height", legendHeight)
+ .attr("stroke-width", 0)
+ .attr("fill", panel.color.cardColor)
+ .style("opacity", d => {
+ return legendOpacityScale(d);
+ });
+ }
+
+ function render() {
+ if (!ctrl.data || _.isEmpty(ctrl.data.buckets)) { return; }
+
+ data = ctrl.data;
+ panel = ctrl.panel;
+ timeRange = ctrl.range;
+
+ if (setElementHeight()) {
+ addHeatmap();
+ scope.yScale = yScale;
+ scope.xScale = xScale;
+ scope.yAxisWidth = yAxisWidth;
+ scope.xAxisHeight = xAxisHeight;
+ scope.chartHeight = chartHeight;
+ scope.chartWidth = chartWidth;
+ scope.chartTop = chartTop;
+
+ // Register selection listeners
+ $heatmap.on("mousedown", onMouseDown);
+ $heatmap.on("mousemove", onMouseMove);
+ $heatmap.on("mouseleave", onMouseLeave);
+ }
+
+ // Draw only if color editor is opened
+ if (!d3.select("#heatmap-color-legend").empty()) {
+ drawColorLegend();
+ }
+ if (!d3.select("#heatmap-opacity-legend").empty()) {
+ drawOpacityLegend();
+ }
+ }
+}
+
+function grafanaTimeFormat(ticks, min, max) {
+ if (min && max && ticks) {
+ let range = max - min;
+ let secPerTick = (range/ticks) / 1000;
+ let oneDay = 86400000;
+ let 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";
+}
+
+// Calculate tick step.
+// Implementation from d3-array (ticks.js)
+// https://github.com/d3/d3-array/blob/master/src/ticks.js
+function tickStep(start, stop, count) {
+ var e10 = Math.sqrt(50),
+ e5 = Math.sqrt(10),
+ e2 = Math.sqrt(2);
+
+ var step0 = Math.abs(stop - start) / Math.max(0, count),
+ step1 = Math.pow(10, Math.floor(Math.log(step0) / Math.LN10)),
+ error = step0 / step1;
+
+ if (error >= e10) {
+ step1 *= 10;
+ } else if (error >= e5) {
+ step1 *= 5;
+ } else if (error >= e2) {
+ step1 *= 2;
+ }
+
+ return stop < start ? -step1 : step1;
+}
+
+function logp(value, base) {
+ return Math.log(value) / Math.log(base);
+}
+
+function getPrecision(num) {
+ let str = num.toString();
+ let dot_index = str.indexOf(".");
+ if (dot_index === -1) {
+ return 0;
+ } else {
+ return str.length - dot_index - 1;
+ }
+}
+
+function getTicksPrecision(values) {
+ let precisions = _.map(values, getPrecision);
+ return _.max(precisions);
+}
diff --git a/public/app/system.conf.js b/public/app/system.conf.js
index 4574c56742a..f7ed0c5b2d2 100644
--- a/public/app/system.conf.js
+++ b/public/app/system.conf.js
@@ -30,7 +30,8 @@ System.config({
"jquery.flot.time": "vendor/flot/jquery.flot.time",
"jquery.flot.crosshair": "vendor/flot/jquery.flot.crosshair",
"jquery.flot.fillbelow": "vendor/flot/jquery.flot.fillbelow",
- "jquery.flot.gauge": "vendor/flot/jquery.flot.gauge"
+ "jquery.flot.gauge": "vendor/flot/jquery.flot.gauge",
+ "d3": "vendor/d3/d3.js"
},
packages: {
diff --git a/public/vendor/d3/LICENSE b/public/vendor/d3/LICENSE
new file mode 100644
index 00000000000..721bd22ece6
--- /dev/null
+++ b/public/vendor/d3/LICENSE
@@ -0,0 +1,27 @@
+Copyright 2010-2016 Mike Bostock
+All rights reserved.
+
+Redistribution and use in source and binary forms, with or without modification,
+are permitted provided that the following conditions are met:
+
+* Redistributions of source code must retain the above copyright notice, this
+ list of conditions and the following disclaimer.
+
+* Redistributions in binary form must reproduce the above copyright notice,
+ this list of conditions and the following disclaimer in the documentation
+ and/or other materials provided with the distribution.
+
+* Neither the name of the author nor the names of contributors may be used to
+ endorse or promote products derived from this software without specific prior
+ written permission.
+
+THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" AND
+ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED
+WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE
+DISCLAIMED. IN NO EVENT SHALL THE COPYRIGHT OWNER OR CONTRIBUTORS BE LIABLE FOR
+ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES
+(INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES;
+LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON
+ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT
+(INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS
+SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.
diff --git a/public/vendor/d3/README.md b/public/vendor/d3/README.md
new file mode 100644
index 00000000000..32299bfe579
--- /dev/null
+++ b/public/vendor/d3/README.md
@@ -0,0 +1,57 @@
+# D3: Data-Driven Documents
+
+
+
+**D3** (or **D3.js**) is a JavaScript library for visualizing data using web standards. D3 helps you bring data to life using SVG, Canvas and HTML. D3 combines powerful visualization and interaction techniques with a data-driven approach to DOM manipulation, giving you the full capabilities of modern browsers and the freedom to design the right visual interface for your data.
+
+## Resources
+
+* [API Reference](https://github.com/d3/d3/blob/master/API.md)
+* [Release Notes](https://github.com/d3/d3/releases)
+* [Gallery](https://github.com/d3/d3/wiki/Gallery)
+* [Examples](http://bl.ocks.org/mbostock)
+* [Wiki](https://github.com/d3/d3/wiki)
+
+## Installing
+
+If you use npm, `npm install d3`. Otherwise, download the [latest release](https://github.com/d3/d3/releases/latest). The released bundle supports anonymous AMD, CommonJS, and vanilla environments. You can load directly from [d3js.org](https://d3js.org), [CDNJS](https://cdnjs.com/libraries/d3), or [unpkg](https://unpkg.com/d3/). For example:
+
+```html
+
+```
+
+For the minified version:
+
+```html
+
+```
+
+You can also use the standalone D3 microlibraries. For example, [d3-selection](https://github.com/d3/d3-selection):
+
+```html
+
+```
+
+D3 is written using [ES2015 modules](http://www.2ality.com/2014/09/es6-modules-final.html). Create a [custom bundle using Rollup](http://bl.ocks.org/mbostock/bb09af4c39c79cffcde4), Webpack, or your preferred bundler. To import D3 into an ES2015 application, either import specific symbols from specific D3 modules:
+
+```js
+import {scaleLinear} from "d3-scale";
+```
+
+Or import everything into a namespace (here, `d3`):
+
+```js
+import * as d3 from "d3";
+```
+
+In Node:
+
+```js
+var d3 = require("d3");
+```
+
+You can also require individual modules and combine them into a `d3` object using [Object.assign](https://developer.mozilla.org/en-US/docs/Web/JavaScript/Reference/Global_Objects/Object/assign):
+
+```js
+var d3 = Object.assign({}, require("d3-format"), require("d3-geo"), require("d3-geo-projection"));
+```
diff --git a/public/vendor/d3/d3-scale-chromatic.min.js b/public/vendor/d3/d3-scale-chromatic.min.js
new file mode 100644
index 00000000000..86aed948666
--- /dev/null
+++ b/public/vendor/d3/d3-scale-chromatic.min.js
@@ -0,0 +1,2 @@
+// https://d3js.org/d3-scale-chromatic/ Version 1.1.1. Copyright 2017 Mike Bostock.
+!function(f,e){"object"==typeof exports&&"undefined"!=typeof module?e(exports,require("./d3.v4.min.js")):"function"==typeof define&&define.amd?define(["exports","./d3.v4.min.js"],e):e(f.d3=f.d3||{},f.d3)}(this,function(f,e){"use strict";var d=function(f){for(var e=f.length/6|0,d=new Array(e),c=0;c=Ys?i*=10:o>=Bs?i*=5:o>=js&&(i*=2),n=0&&(e=t.slice(r+1),t=t.slice(0,r)),t&&!n.hasOwnProperty(t))throw new Error("unknown type: "+t);return{type:t,name:e}})}function _(t,n){for(var e,r=0,i=t.length;r=0&&(n=t.slice(e+1),t=t.slice(0,e)),{type:t,name:n}})}function N(t){return function(){var n=this.__on;if(n){for(var e,r=0,i=-1,o=n.length;rn?1:t>=n?0:NaN}function q(t){return function(){this.removeAttribute(t)}}function L(t){return function(){this.removeAttributeNS(t.space,t.local)}}function U(t,n){return function(){this.setAttribute(t,n)}}function D(t,n){return function(){this.setAttributeNS(t.space,t.local,n)}}function O(t,n){return function(){var 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2:this._point=3;default:gc(this,t,n)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Jb=function t(n){function e(t){return n?new mc(t,n):new vc(t,0)}return e.alpha=function(n){return t(+n)},e}(.5);xc.prototype={areaStart:jb,areaEnd:jb,lineStart:function(){this._x0=this._x1=this._x2=this._x3=this._x4=this._x5=this._y0=this._y1=this._y2=this._y3=this._y4=this._y5=NaN,this._l01_a=this._l12_a=this._l23_a=this._l01_2a=this._l12_2a=this._l23_2a=this._point=0},lineEnd:function(){switch(this._point){case 1:this._context.moveTo(this._x3,this._y3),this._context.closePath();break;case 2:this._context.lineTo(this._x3,this._y3),this._context.closePath();break;case 3:this.point(this._x3,this._y3),this.point(this._x4,this._y4),this.point(this._x5,this._y5)}},point:function(t,n){if(t=+t,n=+n,this._point){var 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+},lineEnd:function(){(this._line||0!==this._line&&3===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){if(t=+t,n=+n,this._point){var e=this._x2-t,r=this._y2-n;this._l23_a=Math.sqrt(this._l23_2a=Math.pow(e*e+r*r,this._alpha))}switch(this._point){case 0:this._point=1;break;case 1:this._point=2;break;case 2:this._point=3,this._line?this._context.lineTo(this._x2,this._y2):this._context.moveTo(this._x2,this._y2);break;case 3:this._point=4;default:gc(this,t,n)}this._l01_a=this._l12_a,this._l12_a=this._l23_a,this._l01_2a=this._l12_2a,this._l12_2a=this._l23_2a,this._x0=this._x1,this._x1=this._x2,this._x2=t,this._y0=this._y1,this._y1=this._y2,this._y2=n}};var Kb=function t(n){function e(t){return n?new bc(t,n):new yc(t,0)}return e.alpha=function(n){return t(+n)},e}(.5);wc.prototype={areaStart:jb,areaEnd:jb,lineStart:function(){this._point=0},lineEnd:function(){this._point&&this._context.closePath()},point:function(t,n){t=+t,n=+n,this._point?this._context.lineTo(t,n):(this._point=1,this._context.moveTo(t,n))}};var tw=function(t){return new wc(t)};Sc.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x0=this._x1=this._y0=this._y1=this._t0=NaN,this._point=0},lineEnd:function(){switch(this._point){case 2:this._context.lineTo(this._x1,this._y1);break;case 3:kc(this,this._t0,Nc(this,this._t0))}(this._line||0!==this._line&&1===this._point)&&this._context.closePath(),this._line=1-this._line},point:function(t,n){var e=NaN;if(t=+t,n=+n,t!==this._x1||n!==this._y1){switch(this._point){case 0:this._point=1,this._line?this._context.lineTo(t,n):this._context.moveTo(t,n);break;case 1:this._point=2;break;case 2:this._point=3,kc(this,Nc(this,e=Tc(this,t,n)),e);break;default:kc(this,this._t0,e=Tc(this,t,n))}this._x0=this._x1,this._x1=t,this._y0=this._y1,this._y1=n,this._t0=e}}},(Ec.prototype=Object.create(Sc.prototype)).point=function(t,n){Sc.prototype.point.call(this,n,t)},Ac.prototype={moveTo:function(t,n){this._context.moveTo(n,t)},closePath:function(){this._context.closePath()},lineTo:function(t,n){this._context.lineTo(n,t)},bezierCurveTo:function(t,n,e,r,i,o){this._context.bezierCurveTo(n,t,r,e,o,i)}},Pc.prototype={areaStart:function(){this._line=0},areaEnd:function(){this._line=NaN},lineStart:function(){this._x=[],this._y=[]},lineEnd:function(){var t=this._x,n=this._y,e=t.length;if(e)if(this._line?this._context.lineTo(t[0],n[0]):this._context.moveTo(t[0],n[0]),2===e)this._context.lineTo(t[1],n[1]);else for(var r=Rc(t),i=Rc(n),o=0,u=1;u=0&&(this._t=1-this._t,this._line=1-this._line)},point:function(t,n){switch(t=+t,n=+n,this._point){case 0:this._point=1,this._line?this._context.lineTo(t,n):this._context.moveTo(t,n);break;case 1:this._point=2;default:if(this._t<=0)this._context.lineTo(this._x,n),this._context.lineTo(t,n);else{var e=this._x*(1-this._t)+t*this._t;this._context.lineTo(e,this._y),this._context.lineTo(e,n)}}this._x=t,this._y=n}};var ew=function(t){return new qc(t,.5)},rw=Array.prototype.slice,iw=function(t,n){if((r=t.length)>1)for(var e,r,i=1,o=t[n[0]],u=o.length;i=0;)e[n]=n;return e},uw=function(){function t(t){var o,u,a=n.apply(this,arguments),c=t.length,s=a.length,f=new Array(s);for(o=0;o0){for(var e,r,i,o=0,u=t[0].length;o0){for(var e,r=0,i=t[n[0]],o=i.length;r0&&(r=(e=t[n[0]]).length)>0){for(var e,r,i,o=0,u=1;u=a)return null;var c=t-i.site[0],s=n-i.site[1],f=c*c+s*s;do i=o.cells[r=u],u=null,i.halfedges.forEach(function(e){var r=o.edges[e],a=r.left;if(a!==i.site&&a||(a=r.right)){var c=t-a[0],s=n-a[1],l=c*c+s*s;le?(e+r)/2:Math.min(0,e)||Math.max(0,r),o>i?(i+o)/2:Math.min(0,i)||Math.max(0,o))}function o(t){return[(+t[0][0]+ +t[1][0])/2,(+t[0][1]+ +t[1][1])/2]}function u(t,n,e){t.on("start.zoom",function(){a(this,arguments).start()}).on("interrupt.zoom end.zoom",function(){a(this,arguments).end()}).tween("zoom",function(){var t=this,r=arguments,i=a(t,r),u=m.apply(t,r),c=e||o(u),s=Math.max(u[1][0]-u[0][0],u[1][1]-u[0][1]),f=t.__zoom,l="function"==typeof n?n.apply(t,r):n,h=E(f.invert(c).concat(s/f.k),l.invert(c).concat(s/l.k));return function(t){if(1===t)t=l;else{var n=h(t),e=s/n[2];t=new gs(e,c[0]-n[0]*e,c[1]-n[1]*e)}i.zoom(null,t)}})}function a(t,n){for(var e,r=0,i=A.length;r0?pl(this).transition().duration(k).call(u,f,a):pl(this).call(n.transform,f)}}function h(){if(g.apply(this,arguments)){var n,e,r,i,o=a(this,arguments),u=t.event.changedTouches,c=u.length;for(xs(),e=0;e