Files
grafana-zabbix/src/datasource-zabbix/zabbix/connectors/influxdb/influxdbConnector.js
2019-02-14 10:51:14 +03:00

105 lines
3.1 KiB
JavaScript

import _ from 'lodash';
import { DBConnector, HISTORY_TO_TABLE_MAP, consolidateByFunc } from '../dbConnector';
export class InfluxDBConnector extends DBConnector {
constructor(options, datasourceSrv) {
super(options, datasourceSrv);
super.loadDBDataSource().then(ds => {
this.influxDS = ds;
return ds;
});
}
/**
* Try to invoke test query for one of Zabbix database tables.
*/
testDataSource() {
return this.influxDS.testDatasource();
}
getHistory(items, timeFrom, timeTill, options) {
let {intervalMs, consolidateBy} = options;
const intervalSec = Math.ceil(intervalMs / 1000);
consolidateBy = consolidateBy || 'avg';
const aggFunction = consolidateByFunc[consolidateBy] || consolidateBy;
// Group items by value type and perform request for each value type
const grouped_items = _.groupBy(items, 'value_type');
const promises = _.map(grouped_items, (items, value_type) => {
const itemids = _.map(items, 'itemid');
const table = HISTORY_TO_TABLE_MAP[value_type];
const query = this.buildHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction);
return this.invokeInfluxDBQuery(query);
});
return Promise.all(promises)
.then(_.flatten)
.then(results => {
return handleInfluxHistoryResponse(results);
});
}
getTrends(items, timeFrom, timeTill, options) {
return this.getHistory(items, timeFrom, timeTill, options);
}
buildHistoryQuery(itemids, table, timeFrom, timeTill, intervalSec, aggFunction) {
const AGG = aggFunction === 'AVG' ? 'MEAN' : aggFunction;
const where_clause = this.buildWhereClause(itemids);
const query = `SELECT ${AGG}("value") FROM "${table}"
WHERE ${where_clause} AND "time" >= ${timeFrom}s AND "time" <= ${timeTill}s
GROUP BY time(${intervalSec}s), "itemid" fill(none)`;
return compactQuery(query);
}
buildWhereClause(itemids) {
const itemidsWhere = itemids.map(itemid => `"itemid" = '${itemid}'`).join(' OR ');
return `(${itemidsWhere})`;
}
invokeInfluxDBQuery(query) {
return this.influxDS._seriesQuery(query)
.then(data => data && data.results ? data.results : []);
}
}
///////////////////////////////////////////////////////////////////////////////
function handleInfluxHistoryResponse(results) {
if (!results) {
return [];
}
const seriesList = [];
for (let i = 0; i < results.length; i++) {
const result = results[i];
if (!result || !result.series) {
continue;
}
const influxSeriesList = results[i].series;
for (let y = 0; y < influxSeriesList.length; y++) {
const influxSeries = influxSeriesList[y];
const datapoints = [];
if (influxSeries.values) {
for (i = 0; i < influxSeries.values.length; i++) {
datapoints[i] = [influxSeries.values[i][1], influxSeries.values[i][0]];
}
}
const timeSeries = {
name: influxSeries.tags.itemid,
points: datapoints
};
seriesList.push(timeSeries);
}
}
return seriesList;
}
function compactQuery(query) {
return query.replace(/\s+/g, ' ');
}