248 lines
6.7 KiB
JavaScript
248 lines
6.7 KiB
JavaScript
import _ from 'lodash';
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import TableModel from 'grafana/app/core/table_model';
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import * as c from './constants';
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/**
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* Convert Zabbix API history.get response to Grafana format
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*
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* @return {Array} Array of timeseries in Grafana format
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* {
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* target: "Metric name",
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* datapoints: [[<value>, <unixtime>], ...]
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* }
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*/
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function convertHistory(history, items, addHostName, convertPointCallback) {
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/**
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* Response should be in the format:
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* data: [
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* {
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* target: "Metric name",
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* datapoints: [[<value>, <unixtime>], ...]
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* }, ...
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* ]
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*/
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// Group history by itemid
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var grouped_history = _.groupBy(history, 'itemid');
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var hosts = _.uniqBy(_.flatten(_.map(items, 'hosts')), 'hostid'); //uniqBy is needed to deduplicate
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return _.map(grouped_history, function(historyPoint, itemid) {
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var item = _.find(items, {'itemid': itemid});
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var alias = item.name;
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if (_.keys(hosts).length > 1 && addHostName) { //only when actual multi hosts selected
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var host = _.find(hosts, {'hostid': item.hostid});
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alias = host.name + ": " + alias;
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}
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return {
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target: alias,
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datapoints: _.map(historyPoint, convertPointCallback)
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};
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});
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}
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function sortTimeseries(timeseries) {
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// Sort trend data, issue #202
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_.forEach(timeseries, series => {
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series.datapoints = _.sortBy(series.datapoints, point => point[c.DATAPOINT_TS]);
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});
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return timeseries;
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}
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function handleHistory(history, items, addHostName = true) {
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return convertHistory(history, items, addHostName, convertHistoryPoint);
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}
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function handleTrends(history, items, valueType, addHostName = true) {
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var convertPointCallback = _.partial(convertTrendPoint, valueType);
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return convertHistory(history, items, addHostName, convertPointCallback);
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}
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function handleText(history, items, target, addHostName = true) {
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let convertTextCallback = _.partial(convertText, target);
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return convertHistory(history, items, addHostName, convertTextCallback);
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}
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function handleHistoryAsTable(history, items, target) {
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let table = new TableModel();
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table.addColumn({text: 'Host'});
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table.addColumn({text: 'Item'});
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table.addColumn({text: 'Key'});
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table.addColumn({text: 'Last value'});
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let grouped_history = _.groupBy(history, 'itemid');
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_.each(items, (item) => {
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let itemHistory = grouped_history[item.itemid] || [];
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let lastPoint = _.last(itemHistory);
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let lastValue = lastPoint ? lastPoint.value : null;
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if(target.options.skipEmptyValues && (!lastValue || lastValue === '')) {
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return;
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}
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// Regex-based extractor
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if (target.textFilter) {
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lastValue = extractText(lastValue, target.textFilter, target.useCaptureGroups);
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}
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let host = _.first(item.hosts);
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host = host ? host.name : "";
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table.rows.push([
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host, item.name, item.key_, lastValue
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]);
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});
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return table;
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}
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function convertText(target, point) {
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let value = point.value;
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// Regex-based extractor
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if (target.textFilter) {
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value = extractText(point.value, target.textFilter, target.useCaptureGroups);
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}
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return [
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value,
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point.clock * 1000 + Math.round(point.ns / 1000000)
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];
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}
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function extractText(str, pattern, useCaptureGroups) {
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let extractPattern = new RegExp(pattern);
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let extractedValue = extractPattern.exec(str);
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if (extractedValue) {
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if (useCaptureGroups) {
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extractedValue = extractedValue[1];
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} else {
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extractedValue = extractedValue[0];
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}
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}
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return extractedValue;
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}
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function handleSLAResponse(itservice, slaProperty, slaObject) {
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var targetSLA = slaObject[itservice.serviceid].sla;
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if (slaProperty.property === 'status') {
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var targetStatus = parseInt(slaObject[itservice.serviceid].status);
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return {
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target: itservice.name + ' ' + slaProperty.name,
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datapoints: [
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[targetStatus, targetSLA[0].to * 1000]
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]
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};
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} else {
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let i;
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let slaArr = [];
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for (i = 0; i < targetSLA.length; i++) {
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if (i === 0) {
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slaArr.push([targetSLA[i][slaProperty.property], targetSLA[i].from * 1000]);
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}
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slaArr.push([targetSLA[i][slaProperty.property], targetSLA[i].to * 1000]);
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}
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return {
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target: itservice.name + ' ' + slaProperty.name,
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datapoints: slaArr
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};
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}
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}
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function handleTriggersResponse(triggers, groups, timeRange) {
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if (!_.isArray(triggers)) {
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let triggersCount = null;
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try {
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triggersCount = Number(triggers);
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} catch (err) {
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console.log("Error when handling triggers count: ", err);
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}
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return {
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target: "triggers count",
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datapoints: [
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[triggersCount, timeRange[1] * 1000]
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]
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};
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} else {
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const stats = getTriggerStats(triggers);
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const groupNames = _.map(groups, 'name');
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let table = new TableModel();
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table.addColumn({text: 'Host group'});
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_.each(_.orderBy(c.TRIGGER_SEVERITY, ['val'], ['desc']), (severity) => {
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table.addColumn({text: severity.text});
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});
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_.each(stats, (severity_stats, group) => {
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if (_.includes(groupNames, group)) {
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let row = _.map(_.orderBy(_.toPairs(severity_stats), (s) => s[0], ['desc']), (s) => s[1]);
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row = _.concat([group], ...row);
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table.rows.push(row);
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}
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});
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return table;
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}
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}
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function getTriggerStats(triggers) {
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let groups = _.uniq(_.flattenDeep(_.map(triggers, (trigger) => _.map(trigger.groups, 'name'))));
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// let severity = _.map(c.TRIGGER_SEVERITY, 'text');
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let stats = {};
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_.each(groups, (group) => {
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stats[group] = {0:0, 1:0, 2:0, 3:0, 4:0, 5:0}; // severity:count
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});
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_.each(triggers, (trigger) => {
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_.each(trigger.groups, (group) => {
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stats[group.name][trigger.priority]++;
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});
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});
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return stats;
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}
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function convertHistoryPoint(point) {
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// Value must be a number for properly work
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return [
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Number(point.value),
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point.clock * 1000 + Math.round(point.ns / 1000000)
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];
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}
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function convertTrendPoint(valueType, point) {
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var value;
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switch (valueType) {
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case "min":
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value = point.value_min;
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break;
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case "max":
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value = point.value_max;
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break;
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case "avg":
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value = point.value_avg;
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break;
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case "sum":
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value = point.value_sum;
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break;
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case "count":
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value = point.value_count;
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break;
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default:
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value = point.value_avg;
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}
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return [
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Number(value),
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point.clock * 1000
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];
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}
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export default {
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handleHistory,
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convertHistory,
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handleTrends,
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handleText,
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handleHistoryAsTable,
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handleSLAResponse,
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handleTriggersResponse,
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sortTimeseries
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};
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// Fix for backward compatibility with lodash 2.4
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if (!_.uniqBy) {_.uniqBy = _.uniq;}
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