mirror of
https://github.com/getredash/redash.git
synced 2025-12-19 17:37:19 -05:00
313 lines
11 KiB
JavaScript
313 lines
11 KiB
JavaScript
(function () {
|
|
'use strict';
|
|
|
|
// The following colors will be used if you pick "Automatic" color.
|
|
var BaseColors = {
|
|
'Blue': '#4572A7',
|
|
'Red': '#AA4643',
|
|
'Green': '#89A54E',
|
|
'Purple': '#80699B',
|
|
'Cyan': '#3D96AE',
|
|
'Orange': '#DB843D',
|
|
'Light Blue': '#92A8CD',
|
|
'Lilac': '#A47D7C',
|
|
'Light Green': '#B5CA92',
|
|
'Brown': '#A52A2A',
|
|
'Black': '#000000',
|
|
'Gray': '#808080',
|
|
'Pink': '#FFC0CB',
|
|
'Dark Blue': '#00008b'
|
|
}
|
|
|
|
// Additional colors for the user to choose from:
|
|
var ColorPalette = _.extend({}, BaseColors, {
|
|
'Indian Red': '#F8766D',
|
|
'Green 2': '#53B400',
|
|
'Green 3': '#00C094',
|
|
'DarkTurquoise': '#00B6EB',
|
|
'Dark Violet': '#A58AFF',
|
|
'Pink 2' : '#FB61D7'
|
|
});
|
|
|
|
var ColorPaletteArray = _.values(BaseColors);
|
|
|
|
var fillXValues = function(seriesList) {
|
|
var xValues = _.sortBy(_.union.apply(_, _.pluck(seriesList, 'x')), _.identity);
|
|
_.each(seriesList, function(series) {
|
|
series.x = _.sortBy(series.x, _.identity);
|
|
|
|
_.each(xValues, function(value, index) {
|
|
if (series.x[index] !== value) {
|
|
series.x.splice(index, 0, value);
|
|
series.y.splice(index, 0, null);
|
|
}
|
|
});
|
|
});
|
|
};
|
|
|
|
var normalAreaStacking = function(seriesList) {
|
|
fillXValues(seriesList);
|
|
_.each(seriesList, function(series) {
|
|
series.text = [];
|
|
series.hoverinfo = 'text+name';
|
|
});
|
|
for (var i = 0; i < seriesList.length; i++) {
|
|
for (var j = 0; j < seriesList[i].y.length; j++) {
|
|
var sum = i > 0 ? seriesList[i-1].y[j] : 0;
|
|
seriesList[i].text.push('Value: ' + seriesList[i].y[j] + '<br>Sum: ' + (sum + seriesList[i].y[j]));
|
|
seriesList[i].y[j] += sum;
|
|
}
|
|
}
|
|
};
|
|
|
|
var percentAreaStacking = function(seriesList) {
|
|
if (seriesList.length === 0) {
|
|
return;
|
|
}
|
|
|
|
fillXValues(seriesList);
|
|
_.each(seriesList, function(series) {
|
|
series.text = [];
|
|
series.hoverinfo = 'text+name';
|
|
});
|
|
for (var i = 0; i < seriesList[0].y.length; i++) {
|
|
var sum = 0;
|
|
for(var j = 0; j < seriesList.length; j++) {
|
|
sum += seriesList[j].y[i];
|
|
}
|
|
|
|
for(var j = 0; j < seriesList.length; j++) {
|
|
var value = seriesList[j].y[i] / sum * 100;
|
|
seriesList[j].text.push('Value: ' + seriesList[j].y[i] + '<br>Relative: ' + value.toFixed(2) + '%');
|
|
|
|
seriesList[j].y[i] = value;
|
|
if (j > 0) {
|
|
seriesList[j].y[i] += seriesList[j-1].y[i];
|
|
}
|
|
}
|
|
}
|
|
};
|
|
|
|
var percentBarStacking = function(seriesList) {
|
|
if (seriesList.length === 0) {
|
|
return;
|
|
}
|
|
|
|
fillXValues(seriesList);
|
|
_.each(seriesList, function(series) {
|
|
series.text = [];
|
|
series.hoverinfo = 'text+name';
|
|
});
|
|
for (var i = 0; i < seriesList[0].y.length; i++) {
|
|
var sum = 0;
|
|
for(var j = 0; j < seriesList.length; j++) {
|
|
sum += seriesList[j].y[i];
|
|
}
|
|
for(var j = 0; j < seriesList.length; j++) {
|
|
var value = seriesList[j].y[i] / sum * 100;
|
|
seriesList[j].text.push('Value: ' + seriesList[j].y[i] + '<br>Relative: ' + value.toFixed(2) + '%');
|
|
seriesList[j].y[i] = value;
|
|
}
|
|
}
|
|
}
|
|
|
|
var normalizeValue = function(value) {
|
|
if (moment.isMoment(value)) {
|
|
return value.format("YYYY-MM-DD HH:mm:ss");
|
|
}
|
|
return value;
|
|
}
|
|
|
|
angular.module('plotly', [])
|
|
.constant('ColorPalette', ColorPalette)
|
|
.directive('plotlyChart', function () {
|
|
var bottomMargin = 50;
|
|
return {
|
|
restrict: 'E',
|
|
template: '<div></div>',
|
|
scope: {
|
|
options: "=",
|
|
series: "=",
|
|
height: "="
|
|
},
|
|
link: function (scope, element) {
|
|
var getScaleType = function(scale) {
|
|
if (scale === 'datetime') {
|
|
return 'date';
|
|
}
|
|
if (scale === 'logarithmic') {
|
|
return 'log';
|
|
}
|
|
return scale;
|
|
};
|
|
|
|
var setType = function(series, type) {
|
|
if (type === 'column') {
|
|
series.type = 'bar';
|
|
} else if (type === 'line') {
|
|
series.mode = 'lines';
|
|
} else if (type === 'area') {
|
|
series.fill = scope.options.series.stacking === null ? 'tozeroy' : 'tonexty';
|
|
series.mode = 'lines';
|
|
} else if (type === 'scatter') {
|
|
series.type = 'scatter';
|
|
series.mode = 'markers';
|
|
}
|
|
};
|
|
|
|
var getColor = function(index) {
|
|
return ColorPaletteArray[index % ColorPaletteArray.length];
|
|
};
|
|
|
|
var recalculateOptions = function() {
|
|
scope.data.length = 0;
|
|
scope.layout.showlegend = _.has(scope.options, 'legend') ? scope.options.legend.enabled : true;
|
|
if(_.has(scope.options, 'bottomMargin')) {
|
|
bottomMargin = parseInt(scope.options.bottomMargin);
|
|
scope.layout.margin.b = bottomMargin;
|
|
}
|
|
delete scope.layout.barmode;
|
|
delete scope.layout.xaxis;
|
|
delete scope.layout.yaxis;
|
|
delete scope.layout.yaxis2;
|
|
|
|
if (scope.options.globalSeriesType === 'pie') {
|
|
var hasX = _.contains(_.values(scope.options.columnMapping), 'x');
|
|
var rows = scope.series.length > 2 ? 2 : 1;
|
|
var cellsInRow = Math.ceil(scope.series.length / rows);
|
|
var cellWidth = 1 / cellsInRow;
|
|
var cellHeight = 1 / rows;
|
|
var xPadding = 0.02;
|
|
var yPadding = 0.05;
|
|
_.each(scope.series, function(series, index) {
|
|
var xPosition = (index % cellsInRow) * cellWidth;
|
|
var yPosition = Math.floor(index / cellsInRow) * cellHeight;
|
|
var plotlySeries = {values: [], labels: [], type: 'pie', hole: .4,
|
|
marker: {colors: ColorPaletteArray},
|
|
text: series.name, textposition: 'inside', name: series.name,
|
|
domain: {x: [xPosition, xPosition + cellWidth - xPadding],
|
|
y: [yPosition, yPosition + cellHeight - yPadding]}};
|
|
_.each(series.data, function(row, index) {
|
|
plotlySeries.values.push(row.y);
|
|
plotlySeries.labels.push(hasX ? row.x : 'Slice ' + index);
|
|
});
|
|
scope.data.push(plotlySeries);
|
|
});
|
|
return;
|
|
}
|
|
|
|
var hasY2 = false;
|
|
var sortX = scope.options.sortX === true || scope.options.sortX === undefined;
|
|
var useUnifiedXaxis = sortX && scope.options.xAxis.type === 'category';
|
|
|
|
var unifiedX = null;
|
|
if (useUnifiedXaxis) {
|
|
unifiedX = _.sortBy(_.union.apply(_, _.map(scope.series, function(s) { return _.pluck(s.data, 'x'); })), _.identity);
|
|
}
|
|
|
|
_.each(scope.series, function(series, index) {
|
|
var seriesOptions = scope.options.seriesOptions[series.name] || {type: scope.options.globalSeriesType};
|
|
var plotlySeries = {x: [],
|
|
y: [],
|
|
name: seriesOptions.name || series.name,
|
|
marker: {color: seriesOptions.color ? seriesOptions.color : getColor(index)}};
|
|
|
|
if (seriesOptions.yAxis === 1 && (scope.options.series.stacking === null || seriesOptions.type === 'line')) {
|
|
hasY2 = true;
|
|
plotlySeries.yaxis = 'y2';
|
|
}
|
|
|
|
setType(plotlySeries, seriesOptions.type);
|
|
var data = series.data;
|
|
if (sortX) {
|
|
data = _.sortBy(data, 'x');
|
|
}
|
|
|
|
if (useUnifiedXaxis && index === 0) {
|
|
var values = {};
|
|
_.each(data, function(row) {
|
|
values[row.x] = row.y;
|
|
});
|
|
|
|
_.each(unifiedX, function(x) {
|
|
plotlySeries.x.push(normalizeValue(x));
|
|
plotlySeries.y.push(normalizeValue(values[x] || null));
|
|
});
|
|
} else {
|
|
_.each(data, function(row) {
|
|
plotlySeries.x.push(normalizeValue(row.x));
|
|
plotlySeries.y.push(normalizeValue(row.y));
|
|
});
|
|
}
|
|
|
|
scope.data.push(plotlySeries);
|
|
});
|
|
|
|
var getTitle = function(axis) {
|
|
if (angular.isDefined(axis) && angular.isDefined(axis.title)) {
|
|
return axis.title.text;
|
|
}
|
|
return null;
|
|
};
|
|
|
|
scope.layout.xaxis = {title: getTitle(scope.options.xAxis),
|
|
type: getScaleType(scope.options.xAxis.type)};
|
|
if (angular.isDefined(scope.options.xAxis.labels)) {
|
|
scope.layout.xaxis.showticklabels = scope.options.xAxis.labels.enabled;
|
|
}
|
|
if (angular.isArray(scope.options.yAxis)) {
|
|
scope.layout.yaxis = {title: getTitle(scope.options.yAxis[0]),
|
|
type: getScaleType(scope.options.yAxis[0].type)};
|
|
}
|
|
if (hasY2 && angular.isDefined(scope.options.yAxis)) {
|
|
scope.layout.yaxis2 = {title: getTitle(scope.options.yAxis[1]),
|
|
type: getScaleType(scope.options.yAxis[1].type),
|
|
overlaying: 'y',
|
|
side: 'right'};
|
|
} else {
|
|
delete scope.layout.yaxis2;
|
|
}
|
|
|
|
if (scope.options.series.stacking === 'normal') {
|
|
scope.layout.barmode = 'stack';
|
|
if (scope.options.globalSeriesType === 'area') {
|
|
normalAreaStacking(scope.data);
|
|
}
|
|
} else if (scope.options.series.stacking === 'percent') {
|
|
scope.layout.barmode = 'stack';
|
|
if (scope.options.globalSeriesType === 'area') {
|
|
percentAreaStacking(scope.data);
|
|
} else if (scope.options.globalSeriesType === 'column') {
|
|
percentBarStacking(scope.data);
|
|
}
|
|
}
|
|
};
|
|
|
|
scope.$watch('series', recalculateOptions);
|
|
scope.$watch('options', recalculateOptions, true);
|
|
|
|
|
|
scope.layout = {margin: {l: 50, r: 50, b: bottomMargin, t: 20, pad: 4}, autosize: true, hovermode: 'closest'};
|
|
scope.plotlyOptions = {showLink: false, displaylogo: false};
|
|
scope.data = [];
|
|
|
|
var element = element[0].children[0];
|
|
Plotly.newPlot(element, scope.data, scope.layout, scope.plotlyOptions);
|
|
|
|
scope.$watch('layout', function (layout, old) {
|
|
if (angular.equals(layout, old)) {
|
|
return;
|
|
}
|
|
Plotly.relayout(element, layout);
|
|
}, true);
|
|
|
|
scope.$watch('data', function (data, old) {
|
|
if (!_.isEmpty(data)) {
|
|
Plotly.redraw(element);
|
|
}
|
|
}, true);
|
|
}
|
|
};
|
|
});
|
|
})();
|