##// END OF EJS Templates
Harden whitespace in log messages to show newlines, tabs, and spaces....
Harden whitespace in log messages to show newlines, tabs, and spaces. Due to the additional and inconsistent height of log messages, the other columns are vertically aligned to the top rather than the middle.

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r45:5967ee78
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chart_result_parser.js
133 lines | 4.3 KiB | application/javascript | JavascriptLexer
// # Copyright (C) 2010-2016 RhodeCode GmbH
// #
// # This program is free software: you can redistribute it and/or modify
// # it under the terms of the GNU Affero General Public License, version 3
// # (only), as published by the Free Software Foundation.
// #
// # This program is distributed in the hope that it will be useful,
// # but WITHOUT ANY WARRANTY; without even the implied warranty of
// # MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// # GNU General Public License for more details.
// #
// # You should have received a copy of the GNU Affero General Public License
// # along with this program. If not, see <http://www.gnu.org/licenses/>.
// #
// # This program is dual-licensed. If you wish to learn more about the
// # AppEnlight Enterprise Edition, including its added features, Support
// # services, and proprietary license terms, please see
// # https://rhodecode.com/licenses/
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
});