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// # Copyright (C) 2010-2016 RhodeCode GmbH
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// #
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// # This program is free software: you can redistribute it and/or modify
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// # it under the terms of the GNU Affero General Public License, version 3
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// # (only), as published by the Free Software Foundation.
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// #
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// # This program is distributed in the hope that it will be useful,
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// # but WITHOUT ANY WARRANTY; without even the implied warranty of
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// # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// # GNU General Public License for more details.
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// #
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// # You should have received a copy of the GNU Affero General Public License
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// # along with this program. If not, see <http://www.gnu.org/licenses/>.
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// #
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// # This program is dual-licensed. If you wish to learn more about the
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// # AppEnlight Enterprise Edition, including its added features, Support
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// # services, and proprietary license terms, please see
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// # https://rhodecode.com/licenses/
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angular.module('appenlight.services.chartResultParser',[]).factory('chartResultParser', function () {
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function transform(data) {
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/** transform result to a format that is more friendly
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* to c3js we don't want to export this way as default
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* as TSV stuff is less readable overall
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*
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* we want format of:
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* {x: [unix_timestamps],
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* key1: [val,list],
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* key2: [val,list]...}
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*
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* OR
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*
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* handle special case where we want pie/donut for
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* aggregation with a single metric, we need to transform
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* the data from:
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* [y:list, categories:[cat1,cat2,...]]
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* to
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* [cat1: val, cat2:val...] format to render properly
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*/
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var chartC3Config = {
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data: {
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json: [],
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type: 'bar'
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},
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point: {
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show: false
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},
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tooltip: {
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format: {
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title: function (d) {
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if (d) {
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return '' + d;
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}
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return '';
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},
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value: function (value, ratio, id, index) {
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return d3.round(value, 3);
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}
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}
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},
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regions: data.rect_regions
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};
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var labels = _.keys(data.system_labels);
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var specialCases = ['pie', 'donut', 'gauge'];
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if (labels.length === 1 && _.contains(specialCases,
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data.chart_type.type)) {
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var transformedData = {};
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_.each(data.series, function (item) {
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transformedData[item['key']] = item[labels[0]];
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});
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}
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else {
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var transformedData = {'key': []};
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_.each(labels, function (label) {
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transformedData[label] = [];
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});
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_.each(data.series, function (item) {
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for (key in item) {
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transformedData[key].push(item[key])
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}
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});
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}
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if (data.parent_agg.type === 'time_histogram') {
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chartC3Config.axis = {
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x: {
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type: 'timeseries',
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tick: {
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format: '%Y-%m-%d'
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}
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}
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};
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chartC3Config.data.xFormat = '%Y-%m-%dT%H:%M:%S';
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}
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else if (data.categories) {
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chartC3Config.axis = {
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x: {
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type: 'category',
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categories: data.categories
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}
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};
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// we don't want to show key as label if it is being
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// used as a category instead
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if (data.categories) {
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delete transformedData['key'];
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}
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}
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var human_labels = {};
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_.each(_.pairs(data.system_labels), function(entry){
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human_labels[entry[0]] = entry[1].human_label;
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});
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var chartC3Data = {
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json: transformedData,
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names: human_labels,
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groups: data.groups,
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type: data.chart_type.type
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};
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if (data.parent_agg.type == 'time_histogram') {
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chartC3Data.x = 'key';
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}
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return {chartC3Data: chartC3Data, chartC3Config: chartC3Config}
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}
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return transform
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});
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