diff --git a/dist/color_legend.js b/dist/color_legend.js
index 372fdd6..d017257 100644
--- a/dist/color_legend.js
+++ b/dist/color_legend.js
@@ -326,7 +326,7 @@ System.register(['angular', 'lodash', 'jquery', 'd3', './libs/d3-scale-chromatic
/**
- * Color legend for heatmap editor.
+ * Bigger color legend for opacity and spectrum modes editor.
*/
mod.directive('optionsColorLegend', function () {
return {
@@ -360,7 +360,7 @@ System.register(['angular', 'lodash', 'jquery', 'd3', './libs/d3-scale-chromatic
});
/**
- * Heatmap legend with scale values.
+ * Graph legend with values.
*/
mod.directive('statusHeatmapLegend', function () {
return {
diff --git a/dist/color_legend.js.map b/dist/color_legend.js.map
index 361604b..0d81955 100644
--- a/dist/color_legend.js.map
+++ b/dist/color_legend.js.map
@@ -1 +1 @@
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angular from 'angular';\nimport _ from 'lodash';\nimport $ from 'jquery';\nimport d3 from 'd3';\nimport * as d3ScaleChromatic from './libs/d3-scale-chromatic/index';\nimport {contextSrv} from 'app/core/core';\nimport {tickStep} from 'app/core/utils/ticks';\n\nlet mod = angular.module('grafana.directives');\n\nconst LEGEND_STEP_WIDTH = 2;\n\n/**\n * Color legend for heatmap editor.\n */\nmod.directive('optionsColorLegend', function() {\n return {\n restrict: 'E',\n template: '',\n link: function(scope, elem, attrs) {\n let ctrl = scope.ctrl;\n let panel = scope.ctrl.panel;\n\n render();\n\n ctrl.events.on('render', function() {\n render();\n });\n\n function render() {\n let legendElem = $(elem).find('svg');\n let legendWidth = Math.floor(legendElem.outerWidth());\n\n if (panel.color.mode === 'spectrum') {\n let colorScheme = _.find(ctrl.colorSchemes, {value: panel.color.colorScheme});\n let colorScale = getColorScale(colorScheme, legendWidth);\n drawSimpleColorLegend(elem, colorScale);\n } else if (panel.color.mode === 'opacity') {\n let colorOptions = panel.color;\n drawSimpleOpacityLegend(elem, colorOptions);\n }\n }\n }\n };\n});\n\n/**\n * Heatmap legend with scale values.\n */\nmod.directive('statusHeatmapLegend', function() {\n return {\n restrict: 'E',\n template: '',\n link: function(scope, elem, attrs) {\n let ctrl = scope.ctrl;\n let panel = scope.ctrl.panel;\n\n render();\n ctrl.events.on('render', function() {\n render();\n });\n\n function render() {\n clearLegend(elem);\n if (!ctrl.panel.legend.show) {\n return \n }\n if (!_.isEmpty(ctrl.cardsData) && !_.isEmpty(ctrl.cardsData.cards)) {\n let rangeFrom = ctrl.cardsData.minValue;\n let rangeTo = ctrl.cardsData.maxValue;\n let maxValue = panel.color.max || rangeTo;\n let minValue = panel.color.min || rangeFrom;\n\n if (panel.color.mode === 'spectrum') {\n let colorScheme = _.find(ctrl.colorSchemes, {value: panel.color.colorScheme});\n drawColorLegend(elem, colorScheme, rangeFrom, rangeTo, maxValue, minValue);\n } else if (panel.color.mode === 'opacity') {\n let colorOptions = panel.color;\n drawOpacityLegend(elem, colorOptions, rangeFrom, rangeTo, maxValue, minValue);\n } else if (panel.color.mode === 'discrete') {\n let colorOptions = panel.color;\n drawDiscreteColorLegend(elem, colorOptions, ctrl.discreteHelper);\n }\n }\n }\n }\n };\n});\n\nfunction drawColorLegend(elem, colorScheme, rangeFrom, rangeTo, maxValue, minValue) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let legendWidth = Math.floor(legendElem.outerWidth()) - 30; // narrow legendWidth by 30px to get space for first and last tick values\n let legendHeight = legendElem.attr(\"height\");\n\n let rangeStep = (rangeTo - rangeFrom) / (legendWidth/LEGEND_STEP_WIDTH);\n // width in pixels in legend space of unit segment in range space\n // rangeStep * witdhFactor == width in pixels of one rangeStep\n let widthFactor = legendWidth / (rangeTo - rangeFrom);\n let valuesRange = d3.range(rangeFrom, rangeTo, rangeStep);\n\n let colorScale = getColorScale(colorScheme, maxValue, minValue);\n legend.selectAll(\".status-heatmap-color-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n // translate from range space into pixels\n // and shift all rectangles to the right by 10\n .attr(\"x\", d => d * widthFactor+10)\n .attr(\"y\", 0)\n // rectangles are slightly overlaped to prevent gaps\n .attr(\"width\", LEGEND_STEP_WIDTH+1)\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", d => colorScale(d));\n\n drawLegendValues(elem, colorScale, rangeFrom, rangeTo, maxValue, minValue, legendWidth);\n}\n\nfunction drawOpacityLegend(elem, options, rangeFrom, rangeTo, maxValue, minValue) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let legendWidth = Math.floor(legendElem.outerWidth()) - 30; // narrow legendWidth by 30px to get space for first and last tick values\n let legendHeight = legendElem.attr(\"height\");\n\n let rangeStep = (rangeTo - rangeFrom) / (legendWidth/LEGEND_STEP_WIDTH);\n // width in pixels in legend space of unit segment in range space\n // rangeStep * witdhFactor == width in pixels of one rangeStep\n let widthFactor = legendWidth / (rangeTo - rangeFrom);\n let valuesRange = d3.range(rangeFrom, rangeTo, rangeStep);\n\n let opacityScale = getOpacityScale(options, maxValue, minValue);\n legend.selectAll(\".status-heatmap-opacity-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n // translate from range space into pixels\n // and shift all rectangles to the right by 10\n .attr(\"x\", d => d * widthFactor+10)\n .attr(\"y\", 0)\n // rectangles are slightly overlaped to prevent gaps\n .attr(\"width\", LEGEND_STEP_WIDTH+1)\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", options.cardColor)\n .style(\"opacity\", d => opacityScale(d));\n\n drawLegendValues(elem, opacityScale, rangeFrom, rangeTo, maxValue, minValue, legendWidth);\n}\n\nfunction drawDiscreteColorLegend(elem, colorOptions, discreteHelper) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let thresholds = colorOptions.thresholds;\n let tooltips = _.map(thresholds, tr => tr.tooltip);\n let valuesNumber = thresholds.length;\n\n // graph width as a fallback\n let $heatmap = $(elem).parent().parent().parent().find('.status-heatmap-panel');\n let graphWidth = $heatmap.find('svg').attr(\"width\");\n\n // calculate max width of tooltip and use it as width for each item\n let textWidth = [];\n legend.selectAll(\".hidden-texts\")\n .data(tooltips)\n .enter().append(\"text\")\n .attr(\"class\", \"axis tick hidden-texts\")\n .attr(\"font-family\", \"sans-serif\")\n .text(d => d)\n .each(function(d,i) {\n let thisWidth = this.getBBox().width;\n textWidth.push(thisWidth);\n });\n legend.selectAll(\".hidden-texts\").remove();\n\n let legendWidth = Math.floor(_.min([\n graphWidth - 30,\n (_.max(textWidth) + 3) * valuesNumber,\n ]));\n legendElem.attr(\"width\", legendWidth);\n\n let legendHeight = legendElem.attr(\"height\");\n\n let itemWidth = Math.floor(legendWidth / valuesNumber);\n let valuesRange = d3.range(valuesNumber); // from 0 to valuesNumber-1\n\n legend.selectAll(\".status-heatmap-color-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n .attr(\"x\", d => d*itemWidth)\n .attr(\"y\", 0)\n .attr(\"width\", itemWidth + 1) // Overlap rectangles to prevent gaps\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", d => discreteHelper.getDiscreteColor(d));\n\n drawDiscreteLegendValues(elem, colorOptions, legendWidth);\n}\n\n\nfunction drawLegendValues(elem, colorScale, rangeFrom, rangeTo, maxValue, minValue, legendWidth) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n\n if (legendWidth <= 0 || legendElem.get(0).childNodes.length === 0) {\n return;\n }\n\n let legendValueScale = d3.scaleLinear()\n .domain([0, rangeTo])\n .range([0, legendWidth]);\n\n let ticks = buildLegendTicks(0, rangeTo, maxValue, minValue);\n let xAxis = d3.axisBottom(legendValueScale)\n .tickValues(ticks)\n .tickSize(2);\n\n let colorRect = legendElem.find(\":first-child\");\n let posY = getSvgElemHeight(legendElem) + 2;\n let posX = getSvgElemX(colorRect);\n\n d3.select(legendElem.get(0)).append(\"g\")\n .attr(\"class\", \"axis\")\n .attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\")\n .call(xAxis);\n\n legend.select(\".axis\").select(\".domain\").remove();\n}\n\nfunction drawDiscreteLegendValues(elem, colorOptions, legendWidth) {\n let thresholds = colorOptions.thresholds;\n\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n\n if (legendWidth <= 0 || legendElem.get(0).childNodes.length === 0) {\n return;\n }\n\n let valuesNumber = thresholds.length;\n let rangeStep = Math.floor(legendWidth / valuesNumber);\n let valuesRange = d3.range(0, legendWidth, rangeStep);\n\n\n let legendValueScale = d3.scaleLinear()\n .domain([0, valuesNumber])\n .range([0, legendWidth]);\n\n let thresholdValues = [];\n let thresholdTooltips = [];\n for (let i = 0; i < thresholds.length; i++) {\n thresholdValues.push(thresholds[i].value);\n thresholdTooltips.push(thresholds[i].tooltip);\n }\n\n let xAxis = d3.axisBottom(legendValueScale)\n .tickValues(d3.range(0, valuesNumber, 1)) //thresholdValues)\n .tickSize(2)\n .tickFormat((t) => {\n let i = Math.floor(t);\n let v = thresholdTooltips[i];\n if (v != undefined) {\n return \"\"+v;\n } else {\n v = thresholdValues[i];\n if (v != undefined) {\n return \"\"+v;\n } else {\n return \"n/a\";\n }\n }\n });\n\n let colorRect = legendElem.find(\":first-child\");\n let posY = getSvgElemHeight(legendElem) + 2;\n let posX = getSvgElemX(colorRect) + Math.floor(rangeStep/2);\n\n d3.select(legendElem.get(0)).append(\"g\")\n 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\ No newline at end of file
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angular from 'angular';\nimport _ from 'lodash';\nimport $ from 'jquery';\nimport d3 from 'd3';\nimport * as d3ScaleChromatic from './libs/d3-scale-chromatic/index';\nimport {contextSrv} from 'app/core/core';\nimport {tickStep} from 'app/core/utils/ticks';\n\nlet mod = angular.module('grafana.directives');\n\nconst LEGEND_STEP_WIDTH = 2;\n\n/**\n * Bigger color legend for opacity and spectrum modes editor.\n */\nmod.directive('optionsColorLegend', function() {\n return {\n restrict: 'E',\n template: '',\n link: function(scope, elem, attrs) {\n let ctrl = scope.ctrl;\n let panel = scope.ctrl.panel;\n\n render();\n\n ctrl.events.on('render', function() {\n render();\n });\n\n function render() {\n let legendElem = $(elem).find('svg');\n let legendWidth = Math.floor(legendElem.outerWidth());\n\n if (panel.color.mode === 'spectrum') {\n let colorScheme = _.find(ctrl.colorSchemes, {value: panel.color.colorScheme});\n let colorScale = getColorScale(colorScheme, legendWidth);\n drawSimpleColorLegend(elem, colorScale);\n } else if (panel.color.mode === 'opacity') {\n let colorOptions = panel.color;\n drawSimpleOpacityLegend(elem, colorOptions);\n }\n }\n }\n };\n});\n\n/**\n * Graph legend with values.\n */\nmod.directive('statusHeatmapLegend', function() {\n return {\n restrict: 'E',\n template: '',\n link: function(scope, elem, attrs) {\n let ctrl = scope.ctrl;\n let panel = scope.ctrl.panel;\n\n render();\n ctrl.events.on('render', function() {\n render();\n });\n\n function render() {\n clearLegend(elem);\n if (!ctrl.panel.legend.show) {\n return \n }\n if (!_.isEmpty(ctrl.cardsData) && !_.isEmpty(ctrl.cardsData.cards)) {\n let rangeFrom = ctrl.cardsData.minValue;\n let rangeTo = ctrl.cardsData.maxValue;\n let maxValue = panel.color.max || rangeTo;\n let minValue = panel.color.min || rangeFrom;\n\n if (panel.color.mode === 'spectrum') {\n let colorScheme = _.find(ctrl.colorSchemes, {value: panel.color.colorScheme});\n drawColorLegend(elem, colorScheme, rangeFrom, rangeTo, maxValue, minValue);\n } else if (panel.color.mode === 'opacity') {\n let colorOptions = panel.color;\n drawOpacityLegend(elem, colorOptions, rangeFrom, rangeTo, maxValue, minValue);\n } else if (panel.color.mode === 'discrete') {\n let colorOptions = panel.color;\n drawDiscreteColorLegend(elem, colorOptions, ctrl.discreteHelper);\n }\n }\n }\n }\n };\n});\n\nfunction drawColorLegend(elem, colorScheme, rangeFrom, rangeTo, maxValue, minValue) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let legendWidth = Math.floor(legendElem.outerWidth()) - 30; // narrow legendWidth by 30px to get space for first and last tick values\n let legendHeight = legendElem.attr(\"height\");\n\n let rangeStep = (rangeTo - rangeFrom) / (legendWidth/LEGEND_STEP_WIDTH);\n // width in pixels in legend space of unit segment in range space\n // rangeStep * witdhFactor == width in pixels of one rangeStep\n let widthFactor = legendWidth / (rangeTo - rangeFrom);\n let valuesRange = d3.range(rangeFrom, rangeTo, rangeStep);\n\n let colorScale = getColorScale(colorScheme, maxValue, minValue);\n legend.selectAll(\".status-heatmap-color-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n // translate from range space into pixels\n // and shift all rectangles to the right by 10\n .attr(\"x\", d => d * widthFactor+10)\n .attr(\"y\", 0)\n // rectangles are slightly overlaped to prevent gaps\n .attr(\"width\", LEGEND_STEP_WIDTH+1)\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", d => colorScale(d));\n\n drawLegendValues(elem, colorScale, rangeFrom, rangeTo, maxValue, minValue, legendWidth);\n}\n\nfunction drawOpacityLegend(elem, options, rangeFrom, rangeTo, maxValue, minValue) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let legendWidth = Math.floor(legendElem.outerWidth()) - 30; // narrow legendWidth by 30px to get space for first and last tick values\n let legendHeight = legendElem.attr(\"height\");\n\n let rangeStep = (rangeTo - rangeFrom) / (legendWidth/LEGEND_STEP_WIDTH);\n // width in pixels in legend space of unit segment in range space\n // rangeStep * witdhFactor == width in pixels of one rangeStep\n let widthFactor = legendWidth / (rangeTo - rangeFrom);\n let valuesRange = d3.range(rangeFrom, rangeTo, rangeStep);\n\n let opacityScale = getOpacityScale(options, maxValue, minValue);\n legend.selectAll(\".status-heatmap-opacity-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n // translate from range space into pixels\n // and shift all rectangles to the right by 10\n .attr(\"x\", d => d * widthFactor+10)\n .attr(\"y\", 0)\n // rectangles are slightly overlaped to prevent gaps\n .attr(\"width\", LEGEND_STEP_WIDTH+1)\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", options.cardColor)\n .style(\"opacity\", d => opacityScale(d));\n\n drawLegendValues(elem, opacityScale, rangeFrom, rangeTo, maxValue, minValue, legendWidth);\n}\n\nfunction drawDiscreteColorLegend(elem, colorOptions, discreteHelper) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let thresholds = colorOptions.thresholds;\n let tooltips = _.map(thresholds, tr => tr.tooltip);\n let valuesNumber = thresholds.length;\n\n // graph width as a fallback\n let $heatmap = $(elem).parent().parent().parent().find('.status-heatmap-panel');\n let graphWidth = $heatmap.find('svg').attr(\"width\");\n\n // calculate max width of tooltip and use it as width for each item\n let textWidth = [];\n legend.selectAll(\".hidden-texts\")\n .data(tooltips)\n .enter().append(\"text\")\n .attr(\"class\", \"axis tick hidden-texts\")\n .attr(\"font-family\", \"sans-serif\")\n .text(d => d)\n .each(function(d,i) {\n let thisWidth = this.getBBox().width;\n textWidth.push(thisWidth);\n });\n legend.selectAll(\".hidden-texts\").remove();\n\n let legendWidth = Math.floor(_.min([\n graphWidth - 30,\n (_.max(textWidth) + 3) * valuesNumber,\n ]));\n legendElem.attr(\"width\", legendWidth);\n\n let legendHeight = legendElem.attr(\"height\");\n\n let itemWidth = Math.floor(legendWidth / valuesNumber);\n let valuesRange = d3.range(valuesNumber); // from 0 to valuesNumber-1\n\n legend.selectAll(\".status-heatmap-color-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n .attr(\"x\", d => d*itemWidth)\n .attr(\"y\", 0)\n .attr(\"width\", itemWidth + 1) // Overlap rectangles to prevent gaps\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", d => discreteHelper.getDiscreteColor(d));\n\n drawDiscreteLegendValues(elem, colorOptions, legendWidth);\n}\n\n\nfunction drawLegendValues(elem, colorScale, rangeFrom, rangeTo, maxValue, minValue, legendWidth) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n\n if (legendWidth <= 0 || legendElem.get(0).childNodes.length === 0) {\n return;\n }\n\n let legendValueScale = d3.scaleLinear()\n .domain([0, rangeTo])\n .range([0, legendWidth]);\n\n let ticks = buildLegendTicks(0, rangeTo, maxValue, minValue);\n let xAxis = d3.axisBottom(legendValueScale)\n .tickValues(ticks)\n .tickSize(2);\n\n let colorRect = legendElem.find(\":first-child\");\n let posY = getSvgElemHeight(legendElem) + 2;\n let posX = getSvgElemX(colorRect);\n\n d3.select(legendElem.get(0)).append(\"g\")\n .attr(\"class\", \"axis\")\n .attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\")\n .call(xAxis);\n\n legend.select(\".axis\").select(\".domain\").remove();\n}\n\nfunction drawDiscreteLegendValues(elem, colorOptions, legendWidth) {\n let thresholds = colorOptions.thresholds;\n\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n\n if (legendWidth <= 0 || legendElem.get(0).childNodes.length === 0) {\n return;\n }\n\n let valuesNumber = thresholds.length;\n let rangeStep = Math.floor(legendWidth / valuesNumber);\n let valuesRange = d3.range(0, legendWidth, rangeStep);\n\n\n let legendValueScale = d3.scaleLinear()\n .domain([0, valuesNumber])\n .range([0, legendWidth]);\n\n let thresholdValues = [];\n let thresholdTooltips = [];\n for (let i = 0; i < thresholds.length; i++) {\n thresholdValues.push(thresholds[i].value);\n thresholdTooltips.push(thresholds[i].tooltip);\n }\n\n let xAxis = d3.axisBottom(legendValueScale)\n .tickValues(d3.range(0, valuesNumber, 1)) //thresholdValues)\n .tickSize(2)\n .tickFormat((t) => {\n let i = Math.floor(t);\n let v = thresholdTooltips[i];\n if (v != undefined) {\n return \"\"+v;\n } else {\n v = thresholdValues[i];\n if (v != undefined) {\n return \"\"+v;\n } else {\n return \"n/a\";\n }\n }\n });\n\n let colorRect = legendElem.find(\":first-child\");\n let posY = getSvgElemHeight(legendElem) + 2;\n let posX = getSvgElemX(colorRect) + Math.floor(rangeStep/2);\n\n d3.select(legendElem.get(0)).append(\"g\")\n .attr(\"class\", \"axis\")\n .attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\")\n .call(xAxis);\n\n legend.select(\".axis\").select(\".domain\").remove();\n}\n\nfunction drawSimpleColorLegend(elem, colorScale) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let legendWidth = Math.floor(legendElem.outerWidth());\n let legendHeight = legendElem.attr(\"height\");\n\n if (legendWidth) {\n let valuesRange = d3.range(0, legendWidth, LEGEND_STEP_WIDTH);\n\n legend.selectAll(\".status-heatmap-color-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n .attr(\"x\", d => d)\n .attr(\"y\", 0)\n .attr(\"width\", LEGEND_STEP_WIDTH + 1) // Overlap rectangles to prevent gaps\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", d => colorScale(d));\n }\n}\n\nfunction drawSimpleOpacityLegend(elem, options) {\n let legendElem = $(elem).find('svg');\n let legend = d3.select(legendElem.get(0));\n clearLegend(elem);\n\n let legendWidth = Math.floor(legendElem.outerWidth());\n let legendHeight = legendElem.attr(\"height\");\n\n if (legendWidth) {\n let legendOpacityScale;\n if (options.colorScale === 'linear') {\n legendOpacityScale = d3.scaleLinear()\n .domain([0, legendWidth])\n .range([0, 1]);\n } else if (options.colorScale === 'sqrt') {\n legendOpacityScale = d3.scalePow().exponent(options.exponent)\n .domain([0, legendWidth])\n .range([0, 1]);\n }\n\n let valuesRange = d3.range(0, legendWidth, LEGEND_STEP_WIDTH);\n\n legend.selectAll(\".status-heatmap-opacity-legend-rect\")\n .data(valuesRange)\n .enter().append(\"rect\")\n .attr(\"x\", d => d)\n .attr(\"y\", 0)\n .attr(\"width\", LEGEND_STEP_WIDTH+1)\n .attr(\"height\", legendHeight)\n .attr(\"stroke-width\", 0)\n .attr(\"fill\", options.cardColor)\n .style(\"opacity\", d => legendOpacityScale(d));\n }\n}\n\n\nfunction clearLegend(elem) {\n let legendElem = $(elem).find('svg');\n legendElem.empty();\n}\n\nfunction getColorScale(colorScheme, maxValue, minValue = 0) {\n let colorInterpolator = d3ScaleChromatic[colorScheme.value];\n let colorScaleInverted = colorScheme.invert === 'always' ||\n (colorScheme.invert === 'dark' && !contextSrv.user.lightTheme);\n\n let start = colorScaleInverted ? maxValue : minValue;\n let end = colorScaleInverted ? minValue : maxValue;\n\n return d3.scaleSequential(colorInterpolator).domain([start, end]);\n}\n\nfunction getOpacityScale(options, maxValue, minValue = 0) {\n let legendOpacityScale;\n if (options.colorScale === 'linear') {\n legendOpacityScale = d3.scaleLinear()\n .domain([minValue, maxValue])\n .range([0, 1]);\n } else if (options.colorScale === 'sqrt') {\n legendOpacityScale = d3.scalePow().exponent(options.exponent)\n .domain([minValue, maxValue])\n .range([0, 1]);\n }\n return legendOpacityScale;\n}\n\nfunction getSvgElemX(elem) {\n let svgElem = elem.get(0);\n if (svgElem && svgElem.x && svgElem.x.baseVal) {\n return svgElem.x.baseVal.value;\n } else {\n return 0;\n }\n}\n\nfunction getSvgElemHeight(elem) {\n let svgElem = elem.get(0);\n if (svgElem && svgElem.height && svgElem.height.baseVal) {\n return svgElem.height.baseVal.value;\n } else {\n return 0;\n }\n}\n\nfunction buildLegendTicks(rangeFrom, rangeTo, maxValue, minValue) {\n let range = rangeTo - rangeFrom;\n let tickStepSize = tickStep(rangeFrom, rangeTo, 3);\n let ticksNum = Math.round(range / tickStepSize);\n let ticks = [];\n\n for (let i = 0; i < ticksNum; i++) {\n let current = tickStepSize * i;\n // Add user-defined min and max if it had been set\n if (isValueCloseTo(minValue, current, tickStepSize)) {\n ticks.push(minValue);\n continue;\n } else if (minValue < current) {\n ticks.push(minValue);\n }\n if (isValueCloseTo(maxValue, current, tickStepSize)) {\n ticks.push(maxValue);\n continue;\n } else if (maxValue < current) {\n ticks.push(maxValue);\n }\n ticks.push(tickStepSize * i);\n }\n if (!isValueCloseTo(maxValue, rangeTo, tickStepSize)) {\n ticks.push(maxValue);\n }\n ticks.push(rangeTo);\n ticks = _.sortBy(_.uniq(ticks));\n return ticks;\n}\n\nfunction isValueCloseTo(val, valueTo, step) {\n let diff = Math.abs(val - valueTo);\n return diff < step * 0.3;\n}\n"]}
\ No newline at end of file
diff --git a/dist/rendering.js b/dist/rendering.js
index 877fd54..193d049 100644
--- a/dist/rendering.js
+++ b/dist/rendering.js
@@ -243,6 +243,7 @@ System.register(['lodash', 'jquery', 'moment', 'app/core/utils/kbn', 'app/core/c
yAxisWidth = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;
chartWidth = width - yAxisWidth - margin.right;
+ // TODO allow per-y cardWidth!
// we need to fill chartWidth with xBucketSize cards.
xGridSize = chartWidth / (cardsData.xBucketSize + 1);
cardWidth = xGridSize - cardHSpacing;
diff --git a/dist/rendering.js.map b/dist/rendering.js.map
index ecb5bc3..77341f3 100644
--- a/dist/rendering.js.map
+++ b/dist/rendering.js.map
@@ -1 +1 @@
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_ from 'lodash';\nimport $ from 'jquery';\nimport moment from 'moment';\nimport kbn from 'app/core/utils/kbn';\nimport {appEvents, contextSrv} from 'app/core/core';\nimport {tickStep, getScaledDecimals, getFlotTickSize} from 'app/core/utils/ticks';\nimport d3 from 'd3';\nimport * as d3ScaleChromatic from './libs/d3-scale-chromatic/index';\nimport {StatusHeatmapTooltip} from './tooltip';\n\nlet MIN_CARD_SIZE = 5,\n CARD_H_SPACING = 2,\n CARD_V_SPACING = 2,\n CARD_ROUND = 0,\n DATA_RANGE_WIDING_FACTOR = 1.2,\n DEFAULT_X_TICK_SIZE_PX = 100,\n DEFAULT_Y_TICK_SIZE_PX = 50,\n X_AXIS_TICK_PADDING = 10,\n Y_AXIS_TICK_PADDING = 5,\n MIN_SELECTION_WIDTH = 2;\n\nexport default function link(scope, elem, attrs, ctrl) {\n let data, cardsData, timeRange, panel, heatmap;\n\n // $heatmap is JQuery object, but heatmap is D3\n let $heatmap = elem.find('.status-heatmap-panel');\n let tooltip = new StatusHeatmapTooltip($heatmap, scope);\n\n let width, height,\n yScale, xScale,\n chartWidth, chartHeight,\n chartTop, chartBottom,\n yAxisWidth, xAxisHeight,\n cardVSpacing, cardHSpacing, cardRound,\n cardWidth, cardHeight,\n colorScale, opacityScale,\n mouseUpHandler,\n xGridSize, yGridSize;\n\n let yOffset = 0;\n\n let selection = {\n active: false,\n x1: -1,\n x2: -1\n };\n\n let padding = {left: 0, right: 0, top: 0, bottom: 0},\n margin = {left: 25, right: 15, top: 10, bottom: 20},\n dataRangeWidingFactor = DATA_RANGE_WIDING_FACTOR;\n\n ctrl.events.on('render', () => {\n render();\n });\n\n function setElementHeight() {\n try {\n var height = ctrl.height || panel.height || ctrl.row.height;\n if (_.isString(height)) {\n height = parseInt(height.replace('px', ''), 10);\n }\n\n height -= panel.legend.show ? 32 : 10; // bottom padding and space for legend. Change margin in .status-heatmap-color-legend !\n\n $heatmap.css('height', height + 'px');\n\n return true;\n } catch (e) { // IE throws errors sometimes\n return false;\n }\n }\n\n function getYAxisWidth(elem) {\n let axis_text = elem.selectAll(\".axis-y text\").nodes();\n let max_text_width = _.max(_.map(axis_text, text => {\n // Use SVG getBBox method\n return text.getBBox().width;\n }));\n\n return max_text_width;\n }\n\n function getXAxisHeight(elem) {\n let axis_line = elem.select(\".axis-x line\");\n if (!axis_line.empty()) {\n let axis_line_position = parseFloat(elem.select(\".axis-x line\").attr(\"y2\"));\n let canvas_width = parseFloat(elem.attr(\"height\"));\n return canvas_width - axis_line_position;\n } else {\n // Default height\n return 30;\n }\n }\n\n function addXAxis() {\n // Scale timestamps to cards centers\n scope.xScale = xScale = d3.scaleTime()\n .domain([timeRange.from, timeRange.to])\n .range([xGridSize/2, chartWidth-xGridSize/2]);\n\n let ticks = chartWidth / DEFAULT_X_TICK_SIZE_PX;\n let grafanaTimeFormatter = grafanaTimeFormat(ticks, timeRange.from, timeRange.to);\n let timeFormat;\n let dashboardTimeZone = ctrl.dashboard.getTimezone();\n if (dashboardTimeZone === 'utc') {\n timeFormat = d3.utcFormat(grafanaTimeFormatter);\n } else {\n timeFormat = d3.timeFormat(grafanaTimeFormatter);\n }\n\n let xAxis = d3.axisBottom(xScale)\n .ticks(ticks)\n .tickFormat(timeFormat)\n .tickPadding(X_AXIS_TICK_PADDING)\n .tickSize(chartHeight);\n\n let posY = chartTop;\n let posX = yAxisWidth;\n\n heatmap.append(\"g\")\n .attr(\"class\", \"axis axis-x\")\n .attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\")\n .call(xAxis);\n\n // Remove horizontal line in the top of axis labels (called domain in d3)\n heatmap.select(\".axis-x\").select(\".domain\").remove();\n }\n\n // divide chart height by ticks for cards drawing\n function getYScale(ticks) {\n let range = [];\n let step = chartHeight / ticks.length;\n // svg has y=0 on the top, so top card should have a minimal value in range\n range.push(step);\n for (let i = 1; i < ticks.length; i++) {\n range.push(step * (i+1));\n }\n return d3.scaleOrdinal()\n .domain(ticks)\n .range(range);\n }\n\n // divide chart height by ticks with offset for ticks drawing\n function getYAxisScale(ticks) {\n let range = [];\n let step = chartHeight / ticks.length;\n // svg has y=0 on the top, so top tick should have a minimal value in range\n range.push(yOffset);\n for (let i = 1; i < ticks.length; i++) {\n range.push(step * i + yOffset);\n }\n return d3.scaleOrdinal()\n .domain(ticks)\n .range(range);\n }\n\n function addYAxis() {\n let ticks = _.uniq(_.map(data, d => d.target));\n\n // Set default Y min and max if no data\n if (_.isEmpty(data)) {\n ticks = [''];\n }\n\n if (panel.yAxisSort == 'a → z') {\n ticks.sort((a, b) => a.localeCompare(b, 'en', {ignorePunctuation: false, numeric: true}));\n } else if (panel.yAxisSort == 'z → a') {\n ticks.sort((b, a) => a.localeCompare(b, 'en', {ignorePunctuation: false, numeric: true}));\n }\n\n let yAxisScale = getYAxisScale(ticks);\n scope.yScale = yScale = getYScale(ticks);\n\n let yAxis = d3.axisLeft(yAxisScale)\n .tickValues(ticks)\n .tickSizeInner(0 - width)\n .tickPadding(Y_AXIS_TICK_PADDING);\n\n heatmap.append(\"g\")\n .attr(\"class\", \"axis axis-y\")\n .call(yAxis);\n\n // Calculate Y axis width first, then move axis into visible area\n let posY = margin.top;\n let posX = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;\n heatmap.select(\".axis-y\").attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\");\n\n // Remove vertical line in the right of axis labels (called domain in d3)\n heatmap.select(\".axis-y\").select(\".domain\").remove();\n heatmap.select(\".axis-y\").selectAll(\".tick line\").remove();\n }\n\n // Wide Y values range and adjust to bucket size\n function wideYAxisRange(min, max, tickInterval) {\n let y_widing = (max * (dataRangeWidingFactor - 1) - min * (dataRangeWidingFactor - 1)) / 2;\n let y_min, y_max;\n\n if (tickInterval === 0) {\n y_max = max * dataRangeWidingFactor;\n y_min = min - min * (dataRangeWidingFactor - 1);\n tickInterval = (y_max - y_min) / 2;\n } else {\n y_max = Math.ceil((max + y_widing) / tickInterval) * tickInterval;\n y_min = Math.floor((min - y_widing) / tickInterval) * tickInterval;\n }\n\n // Don't wide axis below 0 if all values are positive\n if (min >= 0 && y_min < 0) {\n y_min = 0;\n }\n\n return {y_min, y_max};\n }\n\n function tickValueFormatter(decimals, scaledDecimals = null) {\n let format = panel.yAxis.format;\n return function(value) {\n return kbn.valueFormats[format](value, decimals, scaledDecimals);\n };\n }\n\n // Create svg element, add axes and\n // calculate sizes for cards drawing\n function addHeatmapCanvas() {\n let heatmap_elem = $heatmap[0];\n\n width = Math.floor($heatmap.width()) - padding.right;\n height = Math.floor($heatmap.height()) - padding.bottom;\n\n if (heatmap) {\n heatmap.remove();\n }\n\n heatmap = d3.select(heatmap_elem)\n .append(\"svg\")\n .attr(\"width\", width)\n .attr(\"height\", height);\n\n chartHeight = height - margin.top - margin.bottom;\n chartTop = margin.top;\n chartBottom = chartTop + chartHeight;\n\n cardHSpacing = panel.cards.cardHSpacing !== null ? panel.cards.cardHSpacing : CARD_H_SPACING;\n cardVSpacing = panel.cards.cardVSpacing !== null ? panel.cards.cardVSpacing : CARD_V_SPACING;\n cardRound = panel.cards.cardRound !== null ? panel.cards.cardRound : CARD_ROUND;\n\n // calculate yOffset for YAxis\n yGridSize = Math.floor(chartHeight / cardsData.yBucketSize);\n cardHeight = yGridSize ? yGridSize - cardVSpacing : 0;\n yOffset = cardHeight / 2;\n\n addYAxis();\n\n yAxisWidth = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;\n chartWidth = width - yAxisWidth - margin.right;\n\n // we need to fill chartWidth with xBucketSize cards.\n xGridSize = chartWidth / (cardsData.xBucketSize+1);\n cardWidth = xGridSize - cardHSpacing;\n\n addXAxis();\n xAxisHeight = getXAxisHeight(heatmap);\n\n if (!panel.yAxis.show) {\n heatmap.select(\".axis-y\").selectAll(\"line\").style(\"opacity\", 0);\n }\n\n if (!panel.xAxis.show) {\n heatmap.select(\".axis-x\").selectAll(\"line\").style(\"opacity\", 0);\n }\n }\n\n function addHeatmap() {\n addHeatmapCanvas();\n\n let maxValue = panel.color.max || cardsData.maxValue;\n let minValue = panel.color.min || cardsData.minValue;\n\n if (panel.color.mode !== 'discrete') {\n colorScale = getColorScale(maxValue, minValue);\n }\n setOpacityScale(maxValue);\n\n let cards = heatmap.selectAll(\".status-heatmap-card\").data(cardsData.cards);\n cards.append(\"title\");\n cards = cards.enter().append(\"rect\")\n .attr(\"cardId\", c => c.id)\n .attr(\"x\", getCardX)\n .attr(\"width\", getCardWidth)\n .attr(\"y\", getCardY)\n .attr(\"height\", getCardHeight)\n .attr(\"rx\", cardRound)\n .attr(\"ry\", cardRound)\n .attr(\"class\", \"bordered status-heatmap-card\")\n .style(\"fill\", getCardColor)\n .style(\"stroke\", getCardColor)\n .style(\"stroke-width\", 0)\n //.style(\"stroke-width\", getCardStrokeWidth)\n //.style(\"stroke-dasharray\", \"3,3\")\n .style(\"opacity\", getCardOpacity);\n\n let $cards = $heatmap.find(\".status-heatmap-card\");\n $cards.on(\"mouseenter\", (event) => {\n tooltip.mouseOverBucket = true;\n highlightCard(event);\n })\n .on(\"mouseleave\", (event) => {\n tooltip.mouseOverBucket = false;\n resetCardHighLight(event);\n });\n\n ctrl.events.emit('render-complete', {\n \"chartWidth\": chartWidth\n });\n }\n\n function highlightCard(event) {\n let color = d3.select(event.target).style(\"fill\");\n let highlightColor = d3.color(color).darker(2);\n let strokeColor = d3.color(color).brighter(4);\n let current_card = d3.select(event.target);\n tooltip.originalFillColor = color;\n current_card.style(\"fill\", highlightColor)\n .style(\"stroke\", strokeColor)\n .style(\"stroke-width\", 1);\n }\n\n function resetCardHighLight(event) {\n d3\n .select(event.target)\n .style(\"fill\", tooltip.originalFillColor)\n .style(\"stroke\", tooltip.originalFillColor)\n .style(\"stroke-width\", 0);\n }\n\n function getColorScale(maxValue, minValue = 0) {\n let colorScheme = _.find(ctrl.colorSchemes, {value: panel.color.colorScheme});\n let colorInterpolator = d3ScaleChromatic[colorScheme.value];\n let colorScaleInverted = colorScheme.invert === 'always' ||\n (colorScheme.invert === 'dark' && !contextSrv.user.lightTheme);\n\n if (maxValue == minValue)\n maxValue = minValue + 1;\n\n let start = colorScaleInverted ? maxValue : minValue;\n let end = colorScaleInverted ? minValue : maxValue;\n\n return d3.scaleSequential(colorInterpolator).domain([start, end]);\n }\n\n function setOpacityScale(maxValue) {\n if (panel.color.colorScale === 'linear') {\n opacityScale = d3.scaleLinear()\n .domain([0, maxValue])\n .range([0, 1]);\n } else if (panel.color.colorScale === 'sqrt') {\n opacityScale = d3.scalePow().exponent(panel.color.exponent)\n .domain([0, maxValue])\n .range([0, 1]);\n }\n }\n\n function getCardX(d) {\n let x;\n // cx is the center of the card. Card should be placed to the left.\n let cx = xScale(d.x);\n\n if (cx - cardWidth/2 < 0) {\n x = yAxisWidth + cardHSpacing/2;\n } else {\n x = yAxisWidth + cx - cardWidth/2;\n }\n\n return x;\n }\n\n // xScale returns card center. Adjust cardWidth in case of overlaping.\n function getCardWidth(d) {\n let w;\n let cx = xScale(d.x);\n\n if (cx < cardWidth/2) {\n // Center should not exceed half of card.\n // Cut card to the left to prevent overlay of y axis.\n let cutted_width = (cx - cardHSpacing/2) + cardWidth/2;\n w = cutted_width > 0 ? cutted_width : 0;\n } else if (chartWidth - cx < cardWidth/2) {\n // Cut card to the right to prevent overlay of right graph edge.\n w = cardWidth/2 + (chartWidth - cx - cardHSpacing/2);\n } else {\n w = cardWidth;\n }\n\n // Card width should be MIN_CARD_SIZE at least\n w = Math.max(w, MIN_CARD_SIZE);\n\n if (cardHSpacing == 0) {\n w = w+1;\n }\n\n return w;\n }\n\n function getCardY(d) {\n return yScale(d.y) + chartTop - cardHeight - cardVSpacing/2;\n }\n\n function getCardHeight(d) {\n let ys = yScale(d.y);\n let y = ys + chartTop - cardHeight - cardVSpacing/2;\n let h = cardHeight;\n\n // Cut card height to prevent overlay\n if (y < chartTop) {\n h = ys - cardVSpacing/2;\n } else if (ys > chartBottom) {\n h = chartBottom - y;\n } else if (y + cardHeight > chartBottom) {\n h = chartBottom - y;\n }\n\n // Height can't be more than chart height\n h = Math.min(h, chartHeight);\n // Card height should be MIN_CARD_SIZE at least\n h = Math.max(h, MIN_CARD_SIZE);\n\n if (cardVSpacing == 0) {\n h = h+1\n }\n\n return h;\n }\n\n function getCardColor(d) {\n if (panel.color.mode === 'opacity') {\n return panel.color.cardColor;\n } else if (panel.color.mode === 'spectrum') {\n return colorScale(d.value);\n } else if (panel.color.mode === 'discrete') {\n return ctrl.discreteHelper.getBucketColor(d.values);\n }\n }\n\n function getCardOpacity(d) {\n if (panel.nullPointMode === 'as empty' && d.value == null ) {\n return 0;\n }\n if (panel.color.mode === 'opacity') {\n return opacityScale(d.value);\n } else {\n return 1;\n }\n }\n\n function getCardStrokeWidth(d) {\n if (panel.color.mode === 'discrete') {\n return '1';\n }\n return '0';\n }\n\n /////////////////////////////\n // Selection and crosshair //\n /////////////////////////////\n\n // Shared crosshair and tooltip\n appEvents.on('graph-hover', event => {\n drawSharedCrosshair(event.pos);\n }, scope);\n\n appEvents.on('graph-hover-clear', () => {\n clearCrosshair();\n }, scope);\n\n function onMouseDown(event) {\n selection.active = true;\n selection.x1 = event.offsetX;\n\n mouseUpHandler = function() {\n onMouseUp();\n };\n\n $(document).one(\"mouseup\", mouseUpHandler);\n }\n\n function onMouseUp() {\n $(document).unbind(\"mouseup\", mouseUpHandler);\n mouseUpHandler = null;\n selection.active = false;\n\n let selectionRange = Math.abs(selection.x2 - selection.x1);\n if (selection.x2 >= 0 && selectionRange > MIN_SELECTION_WIDTH) {\n let timeFrom = xScale.invert(Math.min(selection.x1, selection.x2) - yAxisWidth - xGridSize/2);\n let timeTo = xScale.invert(Math.max(selection.x1, selection.x2) - yAxisWidth - xGridSize/2);\n\n ctrl.timeSrv.setTime({\n from: moment.utc(timeFrom),\n to: moment.utc(timeTo)\n });\n }\n\n clearSelection();\n }\n\n function onMouseLeave() {\n appEvents.emit('graph-hover-clear');\n clearCrosshair();\n }\n\n function onMouseMove(event) {\n if (!heatmap) { return; }\n\n if (selection.active) {\n // Clear crosshair and tooltip\n clearCrosshair();\n tooltip.destroy();\n\n selection.x2 = limitSelection(event.offsetX);\n drawSelection(selection.x1, selection.x2);\n } else {\n emitGraphHoverEvet(event);\n drawCrosshair(event.offsetX);\n tooltip.show(event); //, data);\n }\n }\n\n function emitGraphHoverEvet(event) {\n let x = xScale.invert(event.offsetX - yAxisWidth - xGridSize/2).valueOf();\n let y = yScale(event.offsetY);\n let pos = {\n pageX: event.pageX,\n pageY: event.pageY,\n x: x, x1: x,\n y: y, y1: y,\n panelRelY: null\n };\n\n // Set minimum offset to prevent showing legend from another panel\n pos.panelRelY = Math.max(event.offsetY / height, 0.001);\n\n // broadcast to other graph panels that we are hovering\n appEvents.emit('graph-hover', {pos: pos, panel: panel});\n }\n\n function limitSelection(x2) {\n x2 = Math.max(x2, yAxisWidth);\n x2 = Math.min(x2, chartWidth + yAxisWidth);\n return x2;\n }\n\n function drawSelection(posX1, posX2) {\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-selection\").remove();\n let selectionX = Math.min(posX1, posX2);\n let selectionWidth = Math.abs(posX1 - posX2);\n\n if (selectionWidth > MIN_SELECTION_WIDTH) {\n heatmap.append(\"rect\")\n .attr(\"class\", \"status-heatmap-selection\")\n .attr(\"x\", selectionX)\n .attr(\"width\", selectionWidth)\n .attr(\"y\", chartTop)\n .attr(\"height\", chartHeight);\n }\n }\n }\n\n function clearSelection() {\n selection.x1 = -1;\n selection.x2 = -1;\n\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-selection\").remove();\n }\n }\n\n function drawCrosshair(position) {\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-crosshair\").remove();\n\n let posX = position;\n posX = Math.max(posX, yAxisWidth);\n posX = Math.min(posX, chartWidth + yAxisWidth);\n\n heatmap.append(\"g\")\n .attr(\"class\", \"status-heatmap-crosshair\")\n .attr(\"transform\", \"translate(\" + posX + \",0)\")\n .append(\"line\")\n .attr(\"x1\", 1)\n .attr(\"y1\", chartTop)\n .attr(\"x2\", 1)\n .attr(\"y2\", chartBottom)\n .attr(\"stroke-width\", 1);\n }\n }\n\n // map time to X\n function drawSharedCrosshair(pos) {\n if (heatmap && ctrl.dashboard.graphTooltip !== 0) {\n let posX = xScale(pos.x) + yAxisWidth;\n drawCrosshair(posX);\n }\n }\n\n function clearCrosshair() {\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-crosshair\").remove();\n }\n }\n\n function render() {\n data = ctrl.data;\n panel = ctrl.panel;\n timeRange = ctrl.range;\n cardsData = ctrl.cardsData;\n\n if (!data || !cardsData || !setElementHeight()) {\n return;\n }\n\n // Draw default axes and return if no data\n if (_.isEmpty(cardsData.cards)) {\n addHeatmapCanvas();\n return;\n }\n\n addHeatmap();\n scope.yAxisWidth = yAxisWidth;\n scope.xAxisHeight = xAxisHeight;\n scope.chartHeight = chartHeight;\n scope.chartWidth = chartWidth;\n scope.chartTop = chartTop;\n }\n\n // Register selection listeners\n $heatmap.on(\"mousedown\", onMouseDown);\n $heatmap.on(\"mousemove\", onMouseMove);\n $heatmap.on(\"mouseleave\", onMouseLeave);\n}\n\nfunction grafanaTimeFormat(ticks, min, max) {\n if (min && max && ticks) {\n let range = max - min;\n let secPerTick = (range/ticks) / 1000;\n let oneDay = 86400000;\n let oneYear = 31536000000;\n\n if (secPerTick <= 45) {\n return \"%H:%M:%S\";\n }\n if (secPerTick <= 7200 || range <= oneDay) {\n return \"%H:%M\";\n }\n if (secPerTick <= 80000) {\n return \"%m/%d %H:%M\";\n }\n if (secPerTick <= 2419200 || range <= oneYear) {\n return \"%m/%d\";\n }\n return \"%Y-%m\";\n }\n\n return \"%H:%M\";\n}\n"]}
\ No newline at end of file
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_ from 'lodash';\nimport $ from 'jquery';\nimport moment from 'moment';\nimport kbn from 'app/core/utils/kbn';\nimport {appEvents, contextSrv} from 'app/core/core';\nimport {tickStep, getScaledDecimals, getFlotTickSize} from 'app/core/utils/ticks';\nimport d3 from 'd3';\nimport * as d3ScaleChromatic from './libs/d3-scale-chromatic/index';\nimport {StatusHeatmapTooltip} from './tooltip';\n\nlet MIN_CARD_SIZE = 5,\n CARD_H_SPACING = 2,\n CARD_V_SPACING = 2,\n CARD_ROUND = 0,\n DATA_RANGE_WIDING_FACTOR = 1.2,\n DEFAULT_X_TICK_SIZE_PX = 100,\n DEFAULT_Y_TICK_SIZE_PX = 50,\n X_AXIS_TICK_PADDING = 10,\n Y_AXIS_TICK_PADDING = 5,\n MIN_SELECTION_WIDTH = 2;\n\nexport default function link(scope, elem, attrs, ctrl) {\n let data, cardsData, timeRange, panel, heatmap;\n\n // $heatmap is JQuery object, but heatmap is D3\n let $heatmap = elem.find('.status-heatmap-panel');\n let tooltip = new StatusHeatmapTooltip($heatmap, scope);\n\n let width, height,\n yScale, xScale,\n chartWidth, chartHeight,\n chartTop, chartBottom,\n yAxisWidth, xAxisHeight,\n cardVSpacing, cardHSpacing, cardRound,\n cardWidth, cardHeight,\n colorScale, opacityScale,\n mouseUpHandler,\n xGridSize, yGridSize;\n\n let yOffset = 0;\n\n let selection = {\n active: false,\n x1: -1,\n x2: -1\n };\n\n let padding = {left: 0, right: 0, top: 0, bottom: 0},\n margin = {left: 25, right: 15, top: 10, bottom: 20},\n dataRangeWidingFactor = DATA_RANGE_WIDING_FACTOR;\n\n ctrl.events.on('render', () => {\n render();\n });\n\n function setElementHeight() {\n try {\n var height = ctrl.height || panel.height || ctrl.row.height;\n if (_.isString(height)) {\n height = parseInt(height.replace('px', ''), 10);\n }\n\n height -= panel.legend.show ? 32 : 10; // bottom padding and space for legend. Change margin in .status-heatmap-color-legend !\n\n $heatmap.css('height', height + 'px');\n\n return true;\n } catch (e) { // IE throws errors sometimes\n return false;\n }\n }\n\n function getYAxisWidth(elem) {\n let axis_text = elem.selectAll(\".axis-y text\").nodes();\n let max_text_width = _.max(_.map(axis_text, text => {\n // Use SVG getBBox method\n return text.getBBox().width;\n }));\n\n return max_text_width;\n }\n\n function getXAxisHeight(elem) {\n let axis_line = elem.select(\".axis-x line\");\n if (!axis_line.empty()) {\n let axis_line_position = parseFloat(elem.select(\".axis-x line\").attr(\"y2\"));\n let canvas_width = parseFloat(elem.attr(\"height\"));\n return canvas_width - axis_line_position;\n } else {\n // Default height\n return 30;\n }\n }\n\n function addXAxis() {\n // Scale timestamps to cards centers\n scope.xScale = xScale = d3.scaleTime()\n .domain([timeRange.from, timeRange.to])\n .range([xGridSize/2, chartWidth-xGridSize/2]);\n\n let ticks = chartWidth / DEFAULT_X_TICK_SIZE_PX;\n let grafanaTimeFormatter = grafanaTimeFormat(ticks, timeRange.from, timeRange.to);\n let timeFormat;\n let dashboardTimeZone = ctrl.dashboard.getTimezone();\n if (dashboardTimeZone === 'utc') {\n timeFormat = d3.utcFormat(grafanaTimeFormatter);\n } else {\n timeFormat = d3.timeFormat(grafanaTimeFormatter);\n }\n\n let xAxis = d3.axisBottom(xScale)\n .ticks(ticks)\n .tickFormat(timeFormat)\n .tickPadding(X_AXIS_TICK_PADDING)\n .tickSize(chartHeight);\n\n let posY = chartTop;\n let posX = yAxisWidth;\n\n heatmap.append(\"g\")\n .attr(\"class\", \"axis axis-x\")\n .attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\")\n .call(xAxis);\n\n // Remove horizontal line in the top of axis labels (called domain in d3)\n heatmap.select(\".axis-x\").select(\".domain\").remove();\n }\n\n // divide chart height by ticks for cards drawing\n function getYScale(ticks) {\n let range = [];\n let step = chartHeight / ticks.length;\n // svg has y=0 on the top, so top card should have a minimal value in range\n range.push(step);\n for (let i = 1; i < ticks.length; i++) {\n range.push(step * (i+1));\n }\n return d3.scaleOrdinal()\n .domain(ticks)\n .range(range);\n }\n\n // divide chart height by ticks with offset for ticks drawing\n function getYAxisScale(ticks) {\n let range = [];\n let step = chartHeight / ticks.length;\n // svg has y=0 on the top, so top tick should have a minimal value in range\n range.push(yOffset);\n for (let i = 1; i < ticks.length; i++) {\n range.push(step * i + yOffset);\n }\n return d3.scaleOrdinal()\n .domain(ticks)\n .range(range);\n }\n\n function addYAxis() {\n let ticks = _.uniq(_.map(data, d => d.target));\n\n // Set default Y min and max if no data\n if (_.isEmpty(data)) {\n ticks = [''];\n }\n\n if (panel.yAxisSort == 'a → z') {\n ticks.sort((a, b) => a.localeCompare(b, 'en', {ignorePunctuation: false, numeric: true}));\n } else if (panel.yAxisSort == 'z → a') {\n ticks.sort((b, a) => a.localeCompare(b, 'en', {ignorePunctuation: false, numeric: true}));\n }\n\n let yAxisScale = getYAxisScale(ticks);\n scope.yScale = yScale = getYScale(ticks);\n\n let yAxis = d3.axisLeft(yAxisScale)\n .tickValues(ticks)\n .tickSizeInner(0 - width)\n .tickPadding(Y_AXIS_TICK_PADDING);\n\n heatmap.append(\"g\")\n .attr(\"class\", \"axis axis-y\")\n .call(yAxis);\n\n // Calculate Y axis width first, then move axis into visible area\n let posY = margin.top;\n let posX = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;\n heatmap.select(\".axis-y\").attr(\"transform\", \"translate(\" + posX + \",\" + posY + \")\");\n\n // Remove vertical line in the right of axis labels (called domain in d3)\n heatmap.select(\".axis-y\").select(\".domain\").remove();\n heatmap.select(\".axis-y\").selectAll(\".tick line\").remove();\n }\n\n // Wide Y values range and adjust to bucket size\n function wideYAxisRange(min, max, tickInterval) {\n let y_widing = (max * (dataRangeWidingFactor - 1) - min * (dataRangeWidingFactor - 1)) / 2;\n let y_min, y_max;\n\n if (tickInterval === 0) {\n y_max = max * dataRangeWidingFactor;\n y_min = min - min * (dataRangeWidingFactor - 1);\n tickInterval = (y_max - y_min) / 2;\n } else {\n y_max = Math.ceil((max + y_widing) / tickInterval) * tickInterval;\n y_min = Math.floor((min - y_widing) / tickInterval) * tickInterval;\n }\n\n // Don't wide axis below 0 if all values are positive\n if (min >= 0 && y_min < 0) {\n y_min = 0;\n }\n\n return {y_min, y_max};\n }\n\n function tickValueFormatter(decimals, scaledDecimals = null) {\n let format = panel.yAxis.format;\n return function(value) {\n return kbn.valueFormats[format](value, decimals, scaledDecimals);\n };\n }\n\n // Create svg element, add axes and\n // calculate sizes for cards drawing\n function addHeatmapCanvas() {\n let heatmap_elem = $heatmap[0];\n\n width = Math.floor($heatmap.width()) - padding.right;\n height = Math.floor($heatmap.height()) - padding.bottom;\n\n if (heatmap) {\n heatmap.remove();\n }\n\n heatmap = d3.select(heatmap_elem)\n .append(\"svg\")\n .attr(\"width\", width)\n .attr(\"height\", height);\n\n chartHeight = height - margin.top - margin.bottom;\n chartTop = margin.top;\n chartBottom = chartTop + chartHeight;\n\n cardHSpacing = panel.cards.cardHSpacing !== null ? panel.cards.cardHSpacing : CARD_H_SPACING;\n cardVSpacing = panel.cards.cardVSpacing !== null ? panel.cards.cardVSpacing : CARD_V_SPACING;\n cardRound = panel.cards.cardRound !== null ? panel.cards.cardRound : CARD_ROUND;\n\n // calculate yOffset for YAxis\n yGridSize = Math.floor(chartHeight / cardsData.yBucketSize);\n cardHeight = yGridSize ? yGridSize - cardVSpacing : 0;\n yOffset = cardHeight / 2;\n\n addYAxis();\n\n yAxisWidth = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;\n chartWidth = width - yAxisWidth - margin.right;\n\n // TODO allow per-y cardWidth!\n // we need to fill chartWidth with xBucketSize cards.\n xGridSize = chartWidth / (cardsData.xBucketSize+1);\n cardWidth = xGridSize - cardHSpacing;\n\n addXAxis();\n xAxisHeight = getXAxisHeight(heatmap);\n\n if (!panel.yAxis.show) {\n heatmap.select(\".axis-y\").selectAll(\"line\").style(\"opacity\", 0);\n }\n\n if (!panel.xAxis.show) {\n heatmap.select(\".axis-x\").selectAll(\"line\").style(\"opacity\", 0);\n }\n }\n\n function addHeatmap() {\n addHeatmapCanvas();\n\n let maxValue = panel.color.max || cardsData.maxValue;\n let minValue = panel.color.min || cardsData.minValue;\n\n if (panel.color.mode !== 'discrete') {\n colorScale = getColorScale(maxValue, minValue);\n }\n setOpacityScale(maxValue);\n\n let cards = heatmap.selectAll(\".status-heatmap-card\").data(cardsData.cards);\n cards.append(\"title\");\n cards = cards.enter().append(\"rect\")\n .attr(\"cardId\", c => c.id)\n .attr(\"x\", getCardX)\n .attr(\"width\", getCardWidth)\n .attr(\"y\", getCardY)\n .attr(\"height\", getCardHeight)\n .attr(\"rx\", cardRound)\n .attr(\"ry\", cardRound)\n .attr(\"class\", \"bordered status-heatmap-card\")\n .style(\"fill\", getCardColor)\n .style(\"stroke\", getCardColor)\n .style(\"stroke-width\", 0)\n //.style(\"stroke-width\", getCardStrokeWidth)\n //.style(\"stroke-dasharray\", \"3,3\")\n .style(\"opacity\", getCardOpacity);\n\n let $cards = $heatmap.find(\".status-heatmap-card\");\n $cards.on(\"mouseenter\", (event) => {\n tooltip.mouseOverBucket = true;\n highlightCard(event);\n })\n .on(\"mouseleave\", (event) => {\n tooltip.mouseOverBucket = false;\n resetCardHighLight(event);\n });\n\n ctrl.events.emit('render-complete', {\n \"chartWidth\": chartWidth\n });\n }\n\n function highlightCard(event) {\n let color = d3.select(event.target).style(\"fill\");\n let highlightColor = d3.color(color).darker(2);\n let strokeColor = d3.color(color).brighter(4);\n let current_card = d3.select(event.target);\n tooltip.originalFillColor = color;\n current_card.style(\"fill\", highlightColor)\n .style(\"stroke\", strokeColor)\n .style(\"stroke-width\", 1);\n }\n\n function resetCardHighLight(event) {\n d3\n .select(event.target)\n .style(\"fill\", tooltip.originalFillColor)\n .style(\"stroke\", tooltip.originalFillColor)\n .style(\"stroke-width\", 0);\n }\n\n function getColorScale(maxValue, minValue = 0) {\n let colorScheme = _.find(ctrl.colorSchemes, {value: panel.color.colorScheme});\n let colorInterpolator = d3ScaleChromatic[colorScheme.value];\n let colorScaleInverted = colorScheme.invert === 'always' ||\n (colorScheme.invert === 'dark' && !contextSrv.user.lightTheme);\n\n if (maxValue == minValue)\n maxValue = minValue + 1;\n\n let start = colorScaleInverted ? maxValue : minValue;\n let end = colorScaleInverted ? minValue : maxValue;\n\n return d3.scaleSequential(colorInterpolator).domain([start, end]);\n }\n\n function setOpacityScale(maxValue) {\n if (panel.color.colorScale === 'linear') {\n opacityScale = d3.scaleLinear()\n .domain([0, maxValue])\n .range([0, 1]);\n } else if (panel.color.colorScale === 'sqrt') {\n opacityScale = d3.scalePow().exponent(panel.color.exponent)\n .domain([0, maxValue])\n .range([0, 1]);\n }\n }\n\n function getCardX(d) {\n let x;\n // cx is the center of the card. Card should be placed to the left.\n let cx = xScale(d.x);\n\n if (cx - cardWidth/2 < 0) {\n x = yAxisWidth + cardHSpacing/2;\n } else {\n x = yAxisWidth + cx - cardWidth/2;\n }\n\n return x;\n }\n\n // xScale returns card center. Adjust cardWidth in case of overlaping.\n function getCardWidth(d) {\n let w;\n let cx = xScale(d.x);\n\n if (cx < cardWidth/2) {\n // Center should not exceed half of card.\n // Cut card to the left to prevent overlay of y axis.\n let cutted_width = (cx - cardHSpacing/2) + cardWidth/2;\n w = cutted_width > 0 ? cutted_width : 0;\n } else if (chartWidth - cx < cardWidth/2) {\n // Cut card to the right to prevent overlay of right graph edge.\n w = cardWidth/2 + (chartWidth - cx - cardHSpacing/2);\n } else {\n w = cardWidth;\n }\n\n // Card width should be MIN_CARD_SIZE at least\n w = Math.max(w, MIN_CARD_SIZE);\n\n if (cardHSpacing == 0) {\n w = w+1;\n }\n\n return w;\n }\n\n function getCardY(d) {\n return yScale(d.y) + chartTop - cardHeight - cardVSpacing/2;\n }\n\n function getCardHeight(d) {\n let ys = yScale(d.y);\n let y = ys + chartTop - cardHeight - cardVSpacing/2;\n let h = cardHeight;\n\n // Cut card height to prevent overlay\n if (y < chartTop) {\n h = ys - cardVSpacing/2;\n } else if (ys > chartBottom) {\n h = chartBottom - y;\n } else if (y + cardHeight > chartBottom) {\n h = chartBottom - y;\n }\n\n // Height can't be more than chart height\n h = Math.min(h, chartHeight);\n // Card height should be MIN_CARD_SIZE at least\n h = Math.max(h, MIN_CARD_SIZE);\n\n if (cardVSpacing == 0) {\n h = h+1\n }\n\n return h;\n }\n\n function getCardColor(d) {\n if (panel.color.mode === 'opacity') {\n return panel.color.cardColor;\n } else if (panel.color.mode === 'spectrum') {\n return colorScale(d.value);\n } else if (panel.color.mode === 'discrete') {\n return ctrl.discreteHelper.getBucketColor(d.values);\n }\n }\n\n function getCardOpacity(d) {\n if (panel.nullPointMode === 'as empty' && d.value == null ) {\n return 0;\n }\n if (panel.color.mode === 'opacity') {\n return opacityScale(d.value);\n } else {\n return 1;\n }\n }\n\n function getCardStrokeWidth(d) {\n if (panel.color.mode === 'discrete') {\n return '1';\n }\n return '0';\n }\n\n /////////////////////////////\n // Selection and crosshair //\n /////////////////////////////\n\n // Shared crosshair and tooltip\n appEvents.on('graph-hover', event => {\n drawSharedCrosshair(event.pos);\n }, scope);\n\n appEvents.on('graph-hover-clear', () => {\n clearCrosshair();\n }, scope);\n\n function onMouseDown(event) {\n selection.active = true;\n selection.x1 = event.offsetX;\n\n mouseUpHandler = function() {\n onMouseUp();\n };\n\n $(document).one(\"mouseup\", mouseUpHandler);\n }\n\n function onMouseUp() {\n $(document).unbind(\"mouseup\", mouseUpHandler);\n mouseUpHandler = null;\n selection.active = false;\n\n let selectionRange = Math.abs(selection.x2 - selection.x1);\n if (selection.x2 >= 0 && selectionRange > MIN_SELECTION_WIDTH) {\n let timeFrom = xScale.invert(Math.min(selection.x1, selection.x2) - yAxisWidth - xGridSize/2);\n let timeTo = xScale.invert(Math.max(selection.x1, selection.x2) - yAxisWidth - xGridSize/2);\n\n ctrl.timeSrv.setTime({\n from: moment.utc(timeFrom),\n to: moment.utc(timeTo)\n });\n }\n\n clearSelection();\n }\n\n function onMouseLeave() {\n appEvents.emit('graph-hover-clear');\n clearCrosshair();\n }\n\n function onMouseMove(event) {\n if (!heatmap) { return; }\n\n if (selection.active) {\n // Clear crosshair and tooltip\n clearCrosshair();\n tooltip.destroy();\n\n selection.x2 = limitSelection(event.offsetX);\n drawSelection(selection.x1, selection.x2);\n } else {\n emitGraphHoverEvet(event);\n drawCrosshair(event.offsetX);\n tooltip.show(event); //, data);\n }\n }\n\n function emitGraphHoverEvet(event) {\n let x = xScale.invert(event.offsetX - yAxisWidth - xGridSize/2).valueOf();\n let y = yScale(event.offsetY);\n let pos = {\n pageX: event.pageX,\n pageY: event.pageY,\n x: x, x1: x,\n y: y, y1: y,\n panelRelY: null\n };\n\n // Set minimum offset to prevent showing legend from another panel\n pos.panelRelY = Math.max(event.offsetY / height, 0.001);\n\n // broadcast to other graph panels that we are hovering\n appEvents.emit('graph-hover', {pos: pos, panel: panel});\n }\n\n function limitSelection(x2) {\n x2 = Math.max(x2, yAxisWidth);\n x2 = Math.min(x2, chartWidth + yAxisWidth);\n return x2;\n }\n\n function drawSelection(posX1, posX2) {\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-selection\").remove();\n let selectionX = Math.min(posX1, posX2);\n let selectionWidth = Math.abs(posX1 - posX2);\n\n if (selectionWidth > MIN_SELECTION_WIDTH) {\n heatmap.append(\"rect\")\n .attr(\"class\", \"status-heatmap-selection\")\n .attr(\"x\", selectionX)\n .attr(\"width\", selectionWidth)\n .attr(\"y\", chartTop)\n .attr(\"height\", chartHeight);\n }\n }\n }\n\n function clearSelection() {\n selection.x1 = -1;\n selection.x2 = -1;\n\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-selection\").remove();\n }\n }\n\n function drawCrosshair(position) {\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-crosshair\").remove();\n\n let posX = position;\n posX = Math.max(posX, yAxisWidth);\n posX = Math.min(posX, chartWidth + yAxisWidth);\n\n heatmap.append(\"g\")\n .attr(\"class\", \"status-heatmap-crosshair\")\n .attr(\"transform\", \"translate(\" + posX + \",0)\")\n .append(\"line\")\n .attr(\"x1\", 1)\n .attr(\"y1\", chartTop)\n .attr(\"x2\", 1)\n .attr(\"y2\", chartBottom)\n .attr(\"stroke-width\", 1);\n }\n }\n\n // map time to X\n function drawSharedCrosshair(pos) {\n if (heatmap && ctrl.dashboard.graphTooltip !== 0) {\n let posX = xScale(pos.x) + yAxisWidth;\n drawCrosshair(posX);\n }\n }\n\n function clearCrosshair() {\n if (heatmap) {\n heatmap.selectAll(\".status-heatmap-crosshair\").remove();\n }\n }\n\n function render() {\n data = ctrl.data;\n panel = ctrl.panel;\n timeRange = ctrl.range;\n cardsData = ctrl.cardsData;\n\n if (!data || !cardsData || !setElementHeight()) {\n return;\n }\n\n // Draw default axes and return if no data\n if (_.isEmpty(cardsData.cards)) {\n addHeatmapCanvas();\n return;\n }\n\n addHeatmap();\n scope.yAxisWidth = yAxisWidth;\n scope.xAxisHeight = xAxisHeight;\n scope.chartHeight = chartHeight;\n scope.chartWidth = chartWidth;\n scope.chartTop = chartTop;\n }\n\n // Register selection listeners\n $heatmap.on(\"mousedown\", onMouseDown);\n $heatmap.on(\"mousemove\", onMouseMove);\n $heatmap.on(\"mouseleave\", onMouseLeave);\n}\n\nfunction grafanaTimeFormat(ticks, min, max) {\n if (min && max && ticks) {\n let range = max - min;\n let secPerTick = (range/ticks) / 1000;\n let oneDay = 86400000;\n let oneYear = 31536000000;\n\n if (secPerTick <= 45) {\n return \"%H:%M:%S\";\n }\n if (secPerTick <= 7200 || range <= oneDay) {\n return \"%H:%M\";\n }\n if (secPerTick <= 80000) {\n return \"%m/%d %H:%M\";\n }\n if (secPerTick <= 2419200 || range <= oneYear) {\n return \"%m/%d\";\n }\n return \"%Y-%m\";\n }\n\n return \"%H:%M\";\n}\n"]}
\ No newline at end of file
diff --git a/dist/status_heatmap_ctrl.js b/dist/status_heatmap_ctrl.js
index 0709d61..294dcf9 100644
--- a/dist/status_heatmap_ctrl.js
+++ b/dist/status_heatmap_ctrl.js
@@ -262,46 +262,49 @@ System.register(['app/plugins/sdk', 'lodash', 'app/core/core', 'app/core/utils/k
maxValue: 0,
minValue: 0,
multipleValues: false,
- noColorDefined: false
+ noColorDefined: false,
+ targets: [], // array of available unique targets
+ targetIndex: {} // indices in data array for each of available unique targets
};
if (!data || data.length == 0) {
return cardsData;
}
- // collect uniq targets and their indexes in data array
- cardsData.targetIndex = {};
- for (var i = 0; i < data.length; i++) {
- var ts = data[i];
- var target = ts.target;
- if (cardsData.targetIndex[target] == undefined) {
- cardsData.targetIndex[target] = [];
- }
- cardsData.targetIndex[target].push(i);
- }
+ // Collect uniq timestamps from data and spread over targets and timestamps
+
+ // collect uniq targets and their indices
+ _.map(data, function (d, i) {
+ cardsData.targetIndex[d.target] = _.concat(_.toArray(cardsData.targetIndex[d.target]), i);
+ });
// TODO add some logic for targets heirarchy
cardsData.targets = _.keys(cardsData.targetIndex);
cardsData.yBucketSize = cardsData.targets.length;
- cardsData.xBucketSize = _.min(_.map(data, function (d) {
+ // Maximum number of buckets over x axis
+ cardsData.xBucketSize = _.max(_.map(data, function (d) {
return d.datapoints.length;
}));
// Collect all values for each bucket from datapoints with similar target.
- for (var _i = 0; _i < cardsData.targets.length; _i++) {
- var _target = cardsData.targets[_i];
+ // TODO aggregate values into buckets over datapoint[TIME_INDEX] not over datapoint index (j).
+ for (var i = 0; i < cardsData.targets.length; i++) {
+ var target = cardsData.targets[i];
for (var j = 0; j < cardsData.xBucketSize; j++) {
var card = {
- id: _i * cardsData.xBucketSize + j,
+ id: i * cardsData.xBucketSize + j,
values: [],
multipleValues: false,
noColorDefined: false
};
// collect values from all timeseries with target
- for (var si = 0; si < cardsData.targetIndex[_target].length; si++) {
- var s = data[cardsData.targetIndex[_target][si]];
+ for (var si = 0; si < cardsData.targetIndex[target].length; si++) {
+ var s = data[cardsData.targetIndex[target][si]];
+ if (s.datapoints.length <= j) {
+ continue;
+ }
var datapoint = s.datapoints[j];
if (card.values.length === 0) {
card.x = datapoint[TIME_INDEX];
diff --git a/dist/status_heatmap_ctrl.js.map b/dist/status_heatmap_ctrl.js.map
index 29e37b9..2ae4371 100644
--- a/dist/status_heatmap_ctrl.js.map
+++ b/dist/status_heatmap_ctrl.js.map
@@ -1 +1 @@
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{ MetricsPanelCtrl } from 'app/plugins/sdk';\nimport _ from 'lodash';\nimport { contextSrv } from 'app/core/core';\nimport kbn from 'app/core/utils/kbn';\n\nimport './color_legend';\nimport rendering from './rendering';\n// import aggregates, { aggregatesMap } from './aggregates';\n// import fragments, { fragmentsMap } from './fragments';\n// import { labelFormats } from './xAxisLabelFormats';\nimport {statusHeatmapOptionsEditor} from './options_editor';\nimport {ColorModeDiscrete} from \"./color_mode_discrete\";\n\nconst CANVAS = 'CANVAS';\nconst SVG = 'SVG';\nconst VALUE_INDEX = 0,\n TIME_INDEX = 1;\n\nconst panelDefaults = {\n // aggregate: aggregates.AVG,\n // fragment: fragments.HOUR,\n color: {\n mode: 'spectrum',\n cardColor: '#b4ff00',\n colorScale: 'sqrt',\n exponent: 0.5,\n colorScheme: 'interpolateGnYlRd',\n // discrete mode settings\n defaultColor: '#757575',\n thresholds: [] // manual colors\n },\n cards: {\n cardMinWidth: 5,\n cardVSpacing: 2,\n cardHSpacing: 2,\n cardRound: null\n },\n xAxis: {\n show: true,\n showWeekends: true,\n minBucketWidthToShowWeekends: 4,\n showCrosshair: true,\n labelFormat: '%a %m/%d'\n },\n yAxis: {\n show: true,\n showCrosshair: false\n },\n tooltip: {\n show: true\n },\n legend: {\n show: true\n },\n data: {\n unitFormat: 'short',\n decimals: null\n },\n // how null points should be handled\n nullPointMode: 'as empty',\n yAxisSort: 'metrics',\n highlightCards: true,\n useMax: true\n};\n\nconst renderer = CANVAS;\n\nconst colorSchemes = [\n // Diverging\n { name: 'Spectral', value: 'interpolateSpectral', invert: 'always' },\n { name: 'RdYlGn', value: 'interpolateRdYlGn', invert: 'always' },\n { name: 'GnYlRd', value: 'interpolateGnYlRd', invert: 'always' },\n\n // Sequential (Single Hue)\n { name: 'Blues', value: 'interpolateBlues', invert: 'dark' },\n { name: 'Greens', value: 'interpolateGreens', invert: 'dark' },\n { name: 'Greys', value: 'interpolateGreys', invert: 'dark' },\n { name: 'Oranges', value: 'interpolateOranges', invert: 'dark' },\n { name: 'Purples', value: 'interpolatePurples', invert: 'dark' },\n { name: 'Reds', value: 'interpolateReds', invert: 'dark' },\n\n // Sequential (Multi-Hue)\n { name: 'BuGn', value: 'interpolateBuGn', invert: 'dark' },\n { name: 'BuPu', value: 'interpolateBuPu', invert: 'dark' },\n { name: 'GnBu', value: 'interpolateGnBu', invert: 'dark' },\n { name: 'OrRd', value: 'interpolateOrRd', invert: 'dark' },\n { name: 'PuBuGn', value: 'interpolatePuBuGn', invert: 'dark' },\n { name: 'PuBu', value: 'interpolatePuBu', invert: 'dark' },\n { name: 'PuRd', value: 'interpolatePuRd', invert: 'dark' },\n { name: 'RdPu', value: 'interpolateRdPu', invert: 'dark' },\n { name: 'YlGnBu', value: 'interpolateYlGnBu', invert: 'dark' },\n { name: 'YlGn', value: 'interpolateYlGn', invert: 'dark' },\n { name: 'YlOrBr', value: 'interpolateYlOrBr', invert: 'dark' },\n { name: 'YlOrRd', value: 'interpolateYlOrRd', invert: 'dark' }\n];\n\nlet colorModes = ['opacity', 'spectrum', 'discrete'];\nlet opacityScales = ['linear', 'sqrt'];\n\nexport class StatusHeatmapCtrl extends MetricsPanelCtrl {\n static templateUrl = 'module.html';\n\n constructor($scope, $injector, $rootScope, timeSrv) {\n super($scope, $injector);\n _.defaultsDeep(this.panel, panelDefaults);\n\n this.opacityScales = opacityScales;\n this.colorModes = colorModes;\n this.colorSchemes = colorSchemes;\n\n // default graph width for discrete card width calculation\n this.graph = {\n \"chartWidth\" : -1\n };\n\n this.multipleValues = false;\n this.noColorDefined = false;\n\n this.discreteHelper = new ColorModeDiscrete($scope);\n\n this.dataWarnings = {\n \"noColorDefined\": {\n title: 'Data has value with undefined color',\n tip: 'Check metric values, color values or define a new color',\n },\n \"multipleValues\": {\n title: 'Data has multiple values for one target',\n tip: 'Change targets definitions or set \"use max value\"',\n }\n };\n\n this.events.on('data-received', this.onDataReceived);\n this.events.on('data-snapshot-load', this.onDataReceived);\n this.events.on('data-error', this.onDataError);\n this.events.on('init-edit-mode', this.onInitEditMode);\n this.events.on('render', this.onRender);\n this.events.on('refresh', this.postRefresh);\n // custom event from rendering.js\n this.events.on('render-complete', this.onRenderComplete);\n }\n\n onRenderComplete = (data) => {\n this.graph.chartWidth = data.chartWidth;\n this.renderingCompleted();\n };\n\n // override calculateInterval for discrete color mode\n calculateInterval = () => {\n let panelWidth = Math.ceil($(window).width() * (this.panel.gridPos.w / 24));\n // approximate chartWidth because y axis ticks not rendered yet on first data receive.\n let chartWidth = _.max([\n panelWidth - 200,\n panelWidth/2\n ]);\n\n let minCardWidth = this.panel.cards.cardMinWidth;\n let minSpacing = this.panel.cards.cardHSpacing;\n let maxCardsCount = Math.ceil((chartWidth-minCardWidth) / (minCardWidth + minSpacing));\n\n let intervalMs;\n let rangeMs = this.range.to.valueOf() - this.range.from.valueOf();\n\n // this is minimal interval! kbn.round_interval will lower it.\n intervalMs = this.discreteHelper.roundIntervalCeil(rangeMs / maxCardsCount);\n\n // Calculate low limit of interval\n let lowLimitMs = 1; // 1 millisecond default low limit\n let intervalOverride = this.panel.interval;\n\n // if no panel interval check datasource\n if (intervalOverride) {\n intervalOverride = this.templateSrv.replace(intervalOverride, this.panel.scopedVars);\n } else if (this.datasource && this.datasource.interval) {\n intervalOverride = this.datasource.interval;\n }\n\n if (intervalOverride) {\n if (intervalOverride[0] === '>') {\n intervalOverride = intervalOverride.slice(1);\n }\n lowLimitMs = kbn.interval_to_ms(intervalOverride);\n }\n\n if (lowLimitMs > intervalMs) {\n intervalMs = lowLimitMs;\n }\n\n this.intervalMs = intervalMs;\n this.interval = kbn.secondsToHms(intervalMs / 1000);\n };\n\n onDataReceived = (dataList) => {\n this.data = dataList;\n this.cardsData = this.convertToCards(this.data);\n\n this.render();\n };\n\n onInitEditMode = () => {\n this.addEditorTab('Options', statusHeatmapOptionsEditor, 2);\n this.unitFormats = kbn.getUnitFormats();\n };\n\n onRender = () => {\n if (!this.data) { return; }\n\n this.multipleValues = false;\n if (!this.panel.useMax) {\n if (this.cardsData) {\n this.multipleValues = this.cardsData.multipleValues;\n }\n }\n\n this.noColorDefined = false;\n if (this.panel.color.mode === 'discrete') {\n this.discreteHelper.updateCardsValuesHasColorInfo();\n if (this.cardsData) {\n this.noColorDefined = this.cardsData.noColorDefined;\n }\n }\n };\n\n onCardColorChange = (newColor) => {\n this.panel.color.cardColor = newColor;\n this.render();\n };\n\n onDataError = () => {\n this.data = [];\n this.render();\n };\n\n postRefresh = () => {\n this.noColorDefined = false;\n };\n\n onEditorAddThreshold = () => {\n this.panel.color.thresholds.push({ color: this.panel.defaultColor });\n this.render();\n };\n\n onEditorRemoveThreshold = (index) => {\n this.panel.color.thresholds.splice(index, 1);\n this.render();\n };\n\n onEditorRemoveThresholds = () => {\n this.panel.color.thresholds = [];\n this.render();\n };\n\n onEditorAddThreeLights = () => {\n this.panel.color.thresholds.push({color: \"red\", value: 2, tooltip: \"error\" });\n this.panel.color.thresholds.push({color: \"yellow\", value: 1, tooltip: \"warning\" });\n this.panel.color.thresholds.push({color: \"green\", value: 0, tooltip: \"ok\" });\n this.render();\n };\n \n /* https://ethanschoonover.com/solarized/ */\n onEditorAddSolarized = () => {\n this.panel.color.thresholds.push({color: \"#b58900\", value: 0, tooltip: \"yellow\" });\n this.panel.color.thresholds.push({color: \"#cb4b16\", value: 1, tooltip: \"orange\" });\n this.panel.color.thresholds.push({color: \"#dc322f\", value: 2, tooltip: \"red\" });\n this.panel.color.thresholds.push({color: \"#d33682\", value: 3, tooltip: \"magenta\" });\n this.panel.color.thresholds.push({color: \"#6c71c4\", value: 4, tooltip: \"violet\" });\n this.panel.color.thresholds.push({color: \"#268bd2\", value: 5, tooltip: \"blue\" });\n this.panel.color.thresholds.push({color: \"#2aa198\", value: 6, tooltip: \"cyan\" });\n this.panel.color.thresholds.push({color: \"#859900\", value: 7, tooltip: \"green\" });\n this.render();\n }\n\n link = (scope, elem, attrs, ctrl) => {\n rendering(scope, elem, attrs, ctrl);\n };\n\n // group values into buckets by target\n convertToCards = (data) => {\n let cardsData = {\n cards: [],\n xBucketSize: 0,\n yBucketSize: 0,\n maxValue: 0,\n minValue: 0,\n multipleValues: false,\n noColorDefined: false,\n };\n\n if (!data || data.length == 0) { return cardsData;}\n\n // collect uniq targets and their indexes in data array\n cardsData.targetIndex = {};\n for (let i = 0; i < data.length; i++) {\n let ts = data[i];\n let target = ts.target;\n if (cardsData.targetIndex[target] == undefined) {\n cardsData.targetIndex[target] = []\n }\n cardsData.targetIndex[target].push(i);\n }\n\n // TODO add some logic for targets heirarchy\n cardsData.targets = _.keys(cardsData.targetIndex);\n cardsData.yBucketSize = cardsData.targets.length;\n cardsData.xBucketSize = _.min(_.map(data, d => d.datapoints.length));\n\n // Collect all values for each bucket from datapoints with similar target.\n for(let i = 0; i < cardsData.targets.length; i++) {\n let target = cardsData.targets[i];\n\n for (let j = 0; j < cardsData.xBucketSize; j++) {\n let card = {\n id: i*cardsData.xBucketSize + j,\n values: [],\n multipleValues: false,\n noColorDefined: false,\n };\n\n // collect values from all timeseries with target\n for (let si = 0; si < cardsData.targetIndex[target].length; si++) {\n let s = data[cardsData.targetIndex[target][si]];\n let datapoint = s.datapoints[j];\n if (card.values.length === 0) {\n card.x = datapoint[TIME_INDEX];\n card.y = s.target;\n }\n card.values.push(datapoint[VALUE_INDEX]);\n }\n card.minValue = _.min(card.values);\n card.maxValue = _.max(card.values);\n if (card.values.length > 1) {\n cardsData.multipleValues = true;\n card.multipleValues = true;\n card.value = card.maxValue; // max value by default\n } else {\n card.value = card.maxValue; // max value by default\n }\n\n if (cardsData.maxValue < card.maxValue)\n cardsData.maxValue = card.maxValue;\n\n if (cardsData.minValue > card.minValue)\n cardsData.minValue = card.minValue;\n\n cardsData.cards.push(card);\n }\n }\n\n return cardsData;\n };\n}\n"]}
\ No newline at end of file
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{ MetricsPanelCtrl } from 'app/plugins/sdk';\nimport _ from 'lodash';\nimport { contextSrv } from 'app/core/core';\nimport kbn from 'app/core/utils/kbn';\n\nimport './color_legend';\nimport rendering from './rendering';\n// import aggregates, { aggregatesMap } from './aggregates';\n// import fragments, { fragmentsMap } from './fragments';\n// import { labelFormats } from './xAxisLabelFormats';\nimport {statusHeatmapOptionsEditor} from './options_editor';\nimport {ColorModeDiscrete} from \"./color_mode_discrete\";\n\nconst CANVAS = 'CANVAS';\nconst SVG = 'SVG';\nconst VALUE_INDEX = 0,\n TIME_INDEX = 1;\n\nconst panelDefaults = {\n // aggregate: aggregates.AVG,\n // fragment: fragments.HOUR,\n color: {\n mode: 'spectrum',\n cardColor: '#b4ff00',\n colorScale: 'sqrt',\n exponent: 0.5,\n colorScheme: 'interpolateGnYlRd',\n // discrete mode settings\n defaultColor: '#757575',\n thresholds: [] // manual colors\n },\n cards: {\n cardMinWidth: 5,\n cardVSpacing: 2,\n cardHSpacing: 2,\n cardRound: null\n },\n xAxis: {\n show: true,\n showWeekends: true,\n minBucketWidthToShowWeekends: 4,\n showCrosshair: true,\n labelFormat: '%a %m/%d'\n },\n yAxis: {\n show: true,\n showCrosshair: false\n },\n tooltip: {\n show: true\n },\n legend: {\n show: true\n },\n data: {\n unitFormat: 'short',\n decimals: null\n },\n // how null points should be handled\n nullPointMode: 'as empty',\n yAxisSort: 'metrics',\n highlightCards: true,\n useMax: true\n};\n\nconst renderer = CANVAS;\n\nconst colorSchemes = [\n // Diverging\n { name: 'Spectral', value: 'interpolateSpectral', invert: 'always' },\n { name: 'RdYlGn', value: 'interpolateRdYlGn', invert: 'always' },\n { name: 'GnYlRd', value: 'interpolateGnYlRd', invert: 'always' },\n\n // Sequential (Single Hue)\n { name: 'Blues', value: 'interpolateBlues', invert: 'dark' },\n { name: 'Greens', value: 'interpolateGreens', invert: 'dark' },\n { name: 'Greys', value: 'interpolateGreys', invert: 'dark' },\n { name: 'Oranges', value: 'interpolateOranges', invert: 'dark' },\n { name: 'Purples', value: 'interpolatePurples', invert: 'dark' },\n { name: 'Reds', value: 'interpolateReds', invert: 'dark' },\n\n // Sequential (Multi-Hue)\n { name: 'BuGn', value: 'interpolateBuGn', invert: 'dark' },\n { name: 'BuPu', value: 'interpolateBuPu', invert: 'dark' },\n { name: 'GnBu', value: 'interpolateGnBu', invert: 'dark' },\n { name: 'OrRd', value: 'interpolateOrRd', invert: 'dark' },\n { name: 'PuBuGn', value: 'interpolatePuBuGn', invert: 'dark' },\n { name: 'PuBu', value: 'interpolatePuBu', invert: 'dark' },\n { name: 'PuRd', value: 'interpolatePuRd', invert: 'dark' },\n { name: 'RdPu', value: 'interpolateRdPu', invert: 'dark' },\n { name: 'YlGnBu', value: 'interpolateYlGnBu', invert: 'dark' },\n { name: 'YlGn', value: 'interpolateYlGn', invert: 'dark' },\n { name: 'YlOrBr', value: 'interpolateYlOrBr', invert: 'dark' },\n { name: 'YlOrRd', value: 'interpolateYlOrRd', invert: 'dark' }\n];\n\nlet colorModes = ['opacity', 'spectrum', 'discrete'];\nlet opacityScales = ['linear', 'sqrt'];\n\nexport class StatusHeatmapCtrl extends MetricsPanelCtrl {\n static templateUrl = 'module.html';\n\n constructor($scope, $injector, $rootScope, timeSrv) {\n super($scope, $injector);\n _.defaultsDeep(this.panel, panelDefaults);\n\n this.opacityScales = opacityScales;\n this.colorModes = colorModes;\n this.colorSchemes = colorSchemes;\n\n // default graph width for discrete card width calculation\n this.graph = {\n \"chartWidth\" : -1\n };\n\n this.multipleValues = false;\n this.noColorDefined = false;\n\n this.discreteHelper = new ColorModeDiscrete($scope);\n\n this.dataWarnings = {\n \"noColorDefined\": {\n title: 'Data has value with undefined color',\n tip: 'Check metric values, color values or define a new color',\n },\n \"multipleValues\": {\n title: 'Data has multiple values for one target',\n tip: 'Change targets definitions or set \"use max value\"',\n }\n };\n\n this.events.on('data-received', this.onDataReceived);\n this.events.on('data-snapshot-load', this.onDataReceived);\n this.events.on('data-error', this.onDataError);\n this.events.on('init-edit-mode', this.onInitEditMode);\n this.events.on('render', this.onRender);\n this.events.on('refresh', this.postRefresh);\n // custom event from rendering.js\n this.events.on('render-complete', this.onRenderComplete);\n }\n\n onRenderComplete = (data) => {\n this.graph.chartWidth = data.chartWidth;\n this.renderingCompleted();\n };\n\n // override calculateInterval for discrete color mode\n calculateInterval = () => {\n let panelWidth = Math.ceil($(window).width() * (this.panel.gridPos.w / 24));\n // approximate chartWidth because y axis ticks not rendered yet on first data receive.\n let chartWidth = _.max([\n panelWidth - 200,\n panelWidth/2\n ]);\n\n let minCardWidth = this.panel.cards.cardMinWidth;\n let minSpacing = this.panel.cards.cardHSpacing;\n let maxCardsCount = Math.ceil((chartWidth-minCardWidth) / (minCardWidth + minSpacing));\n\n let intervalMs;\n let rangeMs = this.range.to.valueOf() - this.range.from.valueOf();\n\n // this is minimal interval! kbn.round_interval will lower it.\n intervalMs = this.discreteHelper.roundIntervalCeil(rangeMs / maxCardsCount);\n\n // Calculate low limit of interval\n let lowLimitMs = 1; // 1 millisecond default low limit\n let intervalOverride = this.panel.interval;\n\n // if no panel interval check datasource\n if (intervalOverride) {\n intervalOverride = this.templateSrv.replace(intervalOverride, this.panel.scopedVars);\n } else if (this.datasource && this.datasource.interval) {\n intervalOverride = this.datasource.interval;\n }\n\n if (intervalOverride) {\n if (intervalOverride[0] === '>') {\n intervalOverride = intervalOverride.slice(1);\n }\n lowLimitMs = kbn.interval_to_ms(intervalOverride);\n }\n\n if (lowLimitMs > intervalMs) {\n intervalMs = lowLimitMs;\n }\n\n this.intervalMs = intervalMs;\n this.interval = kbn.secondsToHms(intervalMs / 1000);\n };\n\n onDataReceived = (dataList) => {\n this.data = dataList;\n this.cardsData = this.convertToCards(this.data);\n\n this.render();\n };\n\n onInitEditMode = () => {\n this.addEditorTab('Options', statusHeatmapOptionsEditor, 2);\n this.unitFormats = kbn.getUnitFormats();\n };\n\n onRender = () => {\n if (!this.data) { return; }\n\n this.multipleValues = false;\n if (!this.panel.useMax) {\n if (this.cardsData) {\n this.multipleValues = this.cardsData.multipleValues;\n }\n }\n\n this.noColorDefined = false;\n if (this.panel.color.mode === 'discrete') {\n this.discreteHelper.updateCardsValuesHasColorInfo();\n if (this.cardsData) {\n this.noColorDefined = this.cardsData.noColorDefined;\n }\n }\n };\n\n onCardColorChange = (newColor) => {\n this.panel.color.cardColor = newColor;\n this.render();\n };\n\n onDataError = () => {\n this.data = [];\n this.render();\n };\n\n postRefresh = () => {\n this.noColorDefined = false;\n };\n\n onEditorAddThreshold = () => {\n this.panel.color.thresholds.push({ color: this.panel.defaultColor });\n this.render();\n };\n\n onEditorRemoveThreshold = (index) => {\n this.panel.color.thresholds.splice(index, 1);\n this.render();\n };\n\n onEditorRemoveThresholds = () => {\n this.panel.color.thresholds = [];\n this.render();\n };\n\n onEditorAddThreeLights = () => {\n this.panel.color.thresholds.push({color: \"red\", value: 2, tooltip: \"error\" });\n this.panel.color.thresholds.push({color: \"yellow\", value: 1, tooltip: \"warning\" });\n this.panel.color.thresholds.push({color: \"green\", value: 0, tooltip: \"ok\" });\n this.render();\n };\n \n /* https://ethanschoonover.com/solarized/ */\n onEditorAddSolarized = () => {\n this.panel.color.thresholds.push({color: \"#b58900\", value: 0, tooltip: \"yellow\" });\n this.panel.color.thresholds.push({color: \"#cb4b16\", value: 1, tooltip: \"orange\" });\n this.panel.color.thresholds.push({color: \"#dc322f\", value: 2, tooltip: \"red\" });\n this.panel.color.thresholds.push({color: \"#d33682\", value: 3, tooltip: \"magenta\" });\n this.panel.color.thresholds.push({color: \"#6c71c4\", value: 4, tooltip: \"violet\" });\n this.panel.color.thresholds.push({color: \"#268bd2\", value: 5, tooltip: \"blue\" });\n this.panel.color.thresholds.push({color: \"#2aa198\", value: 6, tooltip: \"cyan\" });\n this.panel.color.thresholds.push({color: \"#859900\", value: 7, tooltip: \"green\" });\n this.render();\n }\n\n link = (scope, elem, attrs, ctrl) => {\n rendering(scope, elem, attrs, ctrl);\n };\n\n // group values into buckets by target\n convertToCards = (data) => {\n let cardsData = {\n cards: [],\n xBucketSize: 0,\n yBucketSize: 0,\n maxValue: 0,\n minValue: 0,\n multipleValues: false,\n noColorDefined: false,\n targets: [], // array of available unique targets\n targetIndex: {} // indices in data array for each of available unique targets\n };\n\n if (!data || data.length == 0) { return cardsData;}\n\n // Collect uniq timestamps from data and spread over targets and timestamps\n\n // collect uniq targets and their indices\n _.map(data, (d, i) => {\n cardsData.targetIndex[d.target] = _.concat(_.toArray(cardsData.targetIndex[d.target]), i)\n });\n\n // TODO add some logic for targets heirarchy\n cardsData.targets = _.keys(cardsData.targetIndex);\n cardsData.yBucketSize = cardsData.targets.length;\n // Maximum number of buckets over x axis\n cardsData.xBucketSize = _.max(_.map(data, d => d.datapoints.length));\n\n // Collect all values for each bucket from datapoints with similar target.\n // TODO aggregate values into buckets over datapoint[TIME_INDEX] not over datapoint index (j).\n for(let i = 0; i < cardsData.targets.length; i++) {\n let target = cardsData.targets[i];\n\n for (let j = 0; j < cardsData.xBucketSize; j++) {\n let card = {\n id: i*cardsData.xBucketSize + j,\n values: [],\n multipleValues: false,\n noColorDefined: false,\n };\n\n // collect values from all timeseries with target\n for (let si = 0; si < cardsData.targetIndex[target].length; si++) {\n let s = data[cardsData.targetIndex[target][si]];\n if (s.datapoints.length <= j) {\n continue;\n }\n let datapoint = s.datapoints[j];\n if (card.values.length === 0) {\n card.x = datapoint[TIME_INDEX];\n card.y = s.target;\n }\n card.values.push(datapoint[VALUE_INDEX]);\n }\n card.minValue = _.min(card.values);\n card.maxValue = _.max(card.values);\n if (card.values.length > 1) {\n cardsData.multipleValues = true;\n card.multipleValues = true;\n card.value = card.maxValue; // max value by default\n } else {\n card.value = card.maxValue; // max value by default\n }\n\n if (cardsData.maxValue < card.maxValue)\n cardsData.maxValue = card.maxValue;\n\n if (cardsData.minValue > card.minValue)\n cardsData.minValue = card.minValue;\n\n cardsData.cards.push(card);\n }\n }\n\n return cardsData;\n };\n}\n"]}
\ No newline at end of file
diff --git a/src/color_legend.js b/src/color_legend.js
index 00083a6..0014ff1 100644
--- a/src/color_legend.js
+++ b/src/color_legend.js
@@ -11,7 +11,7 @@ let mod = angular.module('grafana.directives');
const LEGEND_STEP_WIDTH = 2;
/**
- * Color legend for heatmap editor.
+ * Bigger color legend for opacity and spectrum modes editor.
*/
mod.directive('optionsColorLegend', function() {
return {
@@ -45,7 +45,7 @@ mod.directive('optionsColorLegend', function() {
});
/**
- * Heatmap legend with scale values.
+ * Graph legend with values.
*/
mod.directive('statusHeatmapLegend', function() {
return {
diff --git a/src/rendering.js b/src/rendering.js
index 0402c12..8ddc5f7 100644
--- a/src/rendering.js
+++ b/src/rendering.js
@@ -254,6 +254,7 @@ export default function link(scope, elem, attrs, ctrl) {
yAxisWidth = getYAxisWidth(heatmap) + Y_AXIS_TICK_PADDING;
chartWidth = width - yAxisWidth - margin.right;
+ // TODO allow per-y cardWidth!
// we need to fill chartWidth with xBucketSize cards.
xGridSize = chartWidth / (cardsData.xBucketSize+1);
cardWidth = xGridSize - cardHSpacing;
diff --git a/src/status_heatmap_ctrl.js b/src/status_heatmap_ctrl.js
index 421f9d8..fe286fa 100644
--- a/src/status_heatmap_ctrl.js
+++ b/src/status_heatmap_ctrl.js
@@ -283,27 +283,27 @@ export class StatusHeatmapCtrl extends MetricsPanelCtrl {
minValue: 0,
multipleValues: false,
noColorDefined: false,
+ targets: [], // array of available unique targets
+ targetIndex: {} // indices in data array for each of available unique targets
};
if (!data || data.length == 0) { return cardsData;}
- // collect uniq targets and their indexes in data array
- cardsData.targetIndex = {};
- for (let i = 0; i < data.length; i++) {
- let ts = data[i];
- let target = ts.target;
- if (cardsData.targetIndex[target] == undefined) {
- cardsData.targetIndex[target] = []
- }
- cardsData.targetIndex[target].push(i);
- }
+ // Collect uniq timestamps from data and spread over targets and timestamps
+
+ // collect uniq targets and their indices
+ _.map(data, (d, i) => {
+ cardsData.targetIndex[d.target] = _.concat(_.toArray(cardsData.targetIndex[d.target]), i)
+ });
// TODO add some logic for targets heirarchy
cardsData.targets = _.keys(cardsData.targetIndex);
cardsData.yBucketSize = cardsData.targets.length;
- cardsData.xBucketSize = _.min(_.map(data, d => d.datapoints.length));
+ // Maximum number of buckets over x axis
+ cardsData.xBucketSize = _.max(_.map(data, d => d.datapoints.length));
// Collect all values for each bucket from datapoints with similar target.
+ // TODO aggregate values into buckets over datapoint[TIME_INDEX] not over datapoint index (j).
for(let i = 0; i < cardsData.targets.length; i++) {
let target = cardsData.targets[i];
@@ -318,6 +318,9 @@ export class StatusHeatmapCtrl extends MetricsPanelCtrl {
// collect values from all timeseries with target
for (let si = 0; si < cardsData.targetIndex[target].length; si++) {
let s = data[cardsData.targetIndex[target][si]];
+ if (s.datapoints.length <= j) {
+ continue;
+ }
let datapoint = s.datapoints[j];
if (card.values.length === 0) {
card.x = datapoint[TIME_INDEX];