define([ 'angular', 'lodash' ], function (angular, _) { 'use strict'; var module = angular.module('grafana.services'); module.service('zabbixHelperSrv', function($q) { var self = this; /** * Convert Zabbix API history.get response to Grafana format * * @param {Array} items Array of Zabbix Items * @param alias * @param scale * @param {Array} history Array of Zabbix History * * @return {Array} Array of timeseries in Grafana format * { * target: "Metric name", * datapoints: [[, ], ...] * } */ this.handleHistoryResponse = function(items, alias, scale, history) { /** * Response should be in the format: * data: [ * { * target: "Metric name", * datapoints: [[, ], ...] * }, * { * target: "Metric name", * datapoints: [[, ], ...] * }, * ] */ // Group items and history by itemid var indexed_items = _.indexBy(items, 'itemid'); var grouped_history = _.groupBy(history, 'itemid'); var self = this; return $q.when(_.map(grouped_history, function (history, itemid) { var item = indexed_items[itemid]; return { target: (item.hosts ? item.hosts[0].name+': ' : '') + (alias ? alias : self.expandItemName(item)), datapoints: _.map(history, function (p) { // Value must be a number for properly work var value = Number(p.value); // Apply scale if (scale) { value *= scale; } return [value, p.clock * 1000]; }) }; })).then(function (result) { return _.sortBy(result, 'target'); }); }; /** * Convert Zabbix API trends.get response to Grafana format * * @param {Array} items Array of Zabbix Items * @param alias * @param scale * @param {Array} trends Array of Zabbix Trends * * @return {Array} Array of timeseries in Grafana format * { * target: "Metric name", * datapoints: [[, ], ...] * } */ this.handleTrendResponse = function (items, alias, scale, trends) { // Group items and trends by itemid var indexed_items = _.indexBy(items, 'itemid'); var grouped_trends = _.groupBy(trends, 'itemid'); var self = this; return $q.when(_.map(grouped_trends, function (trends, itemid) { var item = indexed_items[itemid]; return { target: (item.hosts ? item.hosts[0].name+': ' : '') + (alias ? alias : self.expandItemName(item)), datapoints: _.map(trends, function (p) { // Value must be a number for properly work var value = Number(p.value_avg); // Apply scale if (scale) { value *= scale; } return [value, p.clock * 1000]; }) }; })).then(function (result) { return _.sortBy(result, 'target'); }); }; /** * Convert Zabbix API service.getsla response to Grafana format * * @param itservice * @param slaProperty * @param slaObject * @returns {{target: *, datapoints: *[]}} */ this.handleSLAResponse = function (itservice, slaProperty, slaObject) { var targetSLA = slaObject[itservice.serviceid].sla[0]; return { target: itservice.name + ' ' + slaProperty.name, datapoints: [ [targetSLA[slaProperty.property], targetSLA.from * 1000], [targetSLA[slaProperty.property], targetSLA.to * 1000] ] }; }; /** * Expand item parameters, for example: * CPU $2 time ($3) --> CPU system time (avg1) * * @param item: zabbix api item object * @return {string} expanded item name (string) */ this.expandItemName = function(item) { var name = item.name; var key = item.key_; // extract params from key: // "system.cpu.util[,system,avg1]" --> ["", "system", "avg1"] var key_params = key.substring(key.indexOf('[') + 1, key.lastIndexOf(']')).split(','); // replace item parameters for (var i = key_params.length; i >= 1; i--) { name = name.replace('$' + i, key_params[i - 1]); } return name; }; /** * Convert multiple mettrics to array * "{metric1,metcic2,...,metricN}" --> [metric1, metcic2,..., metricN] * * @param {string} metrics "{metric1,metcic2,...,metricN}" * @return {Array} [metric1, metcic2,..., metricN] */ this.splitMetrics = function(metrics) { var remove_brackets_pattern = /^{|}$/g; var metric_split_pattern = /,(?!\s)/g; return metrics.replace(remove_brackets_pattern, '').split(metric_split_pattern); }; /** * Convert Date object to local time in format * YYYY-MM-DD HH:mm:ss * * @param {Date} date Date object * @return {string} formatted local time YYYY-MM-DD HH:mm:ss */ this.getShortTime = function(date) { var MM = date.getMonth() < 10 ? '0' + date.getMonth() : date.getMonth(); var DD = date.getDate() < 10 ? '0' + date.getDate() : date.getDate(); var HH = date.getHours() < 10 ? '0' + date.getHours() : date.getHours(); var mm = date.getMinutes() < 10 ? '0' + date.getMinutes() : date.getMinutes(); var ss = date.getSeconds() < 10 ? '0' + date.getSeconds() : date.getSeconds(); return date.getFullYear() + '-' + MM + '-' + DD + ' ' + HH + ':' + mm + ':' + ss; }; /** * Format acknowledges. * * @param {array} acknowledges array of Zabbix acknowledge objects * @return {string} HTML-formatted table */ this.formatAcknowledges = function(acknowledges) { if (acknowledges.length) { var formatted_acknowledges = '

Acknowledges:
' + ''; _.each(_.map(acknowledges, function (ack) { var time = new Date(ack.clock * 1000); return ''; }), function (ack) { formatted_acknowledges = formatted_acknowledges.concat(ack); }); formatted_acknowledges = formatted_acknowledges.concat('
TimeUserComments
' + self.getShortTime(time) + '' + ack.alias + ' (' + ack.name + ' ' + ack.surname + ')' + '' + ack.message + '
'); return formatted_acknowledges; } else { return ''; } }; /** * Downsample datapoints series * * @param {array} datapoints [[, ], ...] * @param {integer} time_to Panel time to * @param {integer} ms_interval Interval in milliseconds for grouping datapoints * @return {array} [[, ], ...] */ this.downsampleSeries = function(datapoints, time_to, ms_interval) { var downsampledSeries = []; var timeWindow = { from: time_to * 1000 - ms_interval, to: time_to * 1000 }; var points_sum = 0; var points_num = 0; var value_avg = 0; for (var i = datapoints.length - 1; i >= 0; i -= 1) { if (timeWindow.from < datapoints[i][1] && datapoints[i][1] <= timeWindow.to) { points_sum += datapoints[i][0]; points_num++; } else { value_avg = points_num ? points_sum / points_num : 0; downsampledSeries.push([value_avg, timeWindow.to]); // Shift time window timeWindow.to = timeWindow.from; timeWindow.from -= ms_interval; points_sum = 0; points_num = 0; // Process point again i++; } } return downsampledSeries.reverse(); }; }); });