|
|
// Copyright 2010 - 2017 RhodeCode GmbH and the AppEnlight project authors
|
|
|
//
|
|
|
// Licensed under the Apache License, Version 2.0 (the "License");
|
|
|
// you may not use this file except in compliance with the License.
|
|
|
// You may obtain a copy of the License at
|
|
|
//
|
|
|
// http://www.apache.org/licenses/LICENSE-2.0
|
|
|
//
|
|
|
// Unless required by applicable law or agreed to in writing, software
|
|
|
// distributed under the License is distributed on an "AS IS" BASIS,
|
|
|
// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
|
|
|
// See the License for the specific language governing permissions and
|
|
|
// limitations under the License.
|
|
|
|
|
|
angular.module('appenlight.services.chartResultParser',[]).factory('chartResultParser', function () {
|
|
|
|
|
|
function transform(data) {
|
|
|
|
|
|
/** transform result to a format that is more friendly
|
|
|
* to c3js we don't want to export this way as default
|
|
|
* as TSV stuff is less readable overall
|
|
|
*
|
|
|
* we want format of:
|
|
|
* {x: [unix_timestamps],
|
|
|
* key1: [val,list],
|
|
|
* key2: [val,list]...}
|
|
|
*
|
|
|
* OR
|
|
|
*
|
|
|
* handle special case where we want pie/donut for
|
|
|
* aggregation with a single metric, we need to transform
|
|
|
* the data from:
|
|
|
* [y:list, categories:[cat1,cat2,...]]
|
|
|
* to
|
|
|
* [cat1: val, cat2:val...] format to render properly
|
|
|
*/
|
|
|
var chartC3Config = {
|
|
|
data: {
|
|
|
json: [],
|
|
|
type: 'bar'
|
|
|
},
|
|
|
point: {
|
|
|
show: false
|
|
|
},
|
|
|
tooltip: {
|
|
|
format: {
|
|
|
title: function (d) {
|
|
|
if (d) {
|
|
|
return '' + d;
|
|
|
}
|
|
|
return '';
|
|
|
},
|
|
|
value: function (value, ratio, id, index) {
|
|
|
return d3.round(value, 3);
|
|
|
}
|
|
|
}
|
|
|
},
|
|
|
regions: data.rect_regions
|
|
|
};
|
|
|
var labels = _.keys(data.system_labels);
|
|
|
var specialCases = ['pie', 'donut', 'gauge'];
|
|
|
if (labels.length === 1 && _.contains(specialCases,
|
|
|
data.chart_type.type)) {
|
|
|
var transformedData = {};
|
|
|
|
|
|
_.each(data.series, function (item) {
|
|
|
transformedData[item['key']] = item[labels[0]];
|
|
|
});
|
|
|
}
|
|
|
else {
|
|
|
var transformedData = {'key': []};
|
|
|
|
|
|
_.each(labels, function (label) {
|
|
|
transformedData[label] = [];
|
|
|
});
|
|
|
|
|
|
_.each(data.series, function (item) {
|
|
|
for (key in item) {
|
|
|
transformedData[key].push(item[key])
|
|
|
}
|
|
|
});
|
|
|
}
|
|
|
|
|
|
|
|
|
if (data.parent_agg.type === 'time_histogram') {
|
|
|
chartC3Config.axis = {
|
|
|
x: {
|
|
|
type: 'timeseries',
|
|
|
tick: {
|
|
|
format: '%Y-%m-%d'
|
|
|
}
|
|
|
}
|
|
|
};
|
|
|
chartC3Config.data.xFormat = '%Y-%m-%dT%H:%M:%S';
|
|
|
}
|
|
|
else if (data.categories) {
|
|
|
chartC3Config.axis = {
|
|
|
x: {
|
|
|
type: 'category',
|
|
|
categories: data.categories
|
|
|
}
|
|
|
};
|
|
|
// we don't want to show key as label if it is being
|
|
|
// used as a category instead
|
|
|
if (data.categories) {
|
|
|
delete transformedData['key'];
|
|
|
}
|
|
|
}
|
|
|
|
|
|
var human_labels = {};
|
|
|
_.each(_.pairs(data.system_labels), function(entry){
|
|
|
human_labels[entry[0]] = entry[1].human_label;
|
|
|
});
|
|
|
var chartC3Data = {
|
|
|
json: transformedData,
|
|
|
names: human_labels,
|
|
|
groups: data.groups,
|
|
|
type: data.chart_type.type
|
|
|
};
|
|
|
|
|
|
if (data.parent_agg.type == 'time_histogram') {
|
|
|
chartC3Data.x = 'key';
|
|
|
}
|
|
|
return {chartC3Data: chartC3Data, chartC3Config: chartC3Config}
|
|
|
}
|
|
|
|
|
|
return transform
|
|
|
});
|
|
|
|