ignore dist/test
This commit is contained in:
Alexander Zobnin
191
dist/test/datasource-zabbix/dataProcessor.js
vendored
191
dist/test/datasource-zabbix/dataProcessor.js
vendored
@@ -1,191 +0,0 @@
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'use strict';
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Object.defineProperty(exports, "__esModule", {
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value: true
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});
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var _lodash = require('lodash');
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var _lodash2 = _interopRequireDefault(_lodash);
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var _utils = require('./utils');
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var utils = _interopRequireWildcard(_utils);
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var _timeseries = require('./timeseries');
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var _timeseries2 = _interopRequireDefault(_timeseries);
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function _interopRequireWildcard(obj) { if (obj && obj.__esModule) { return obj; } else { var newObj = {}; if (obj != null) { for (var key in obj) { if (Object.prototype.hasOwnProperty.call(obj, key)) newObj[key] = obj[key]; } } newObj.default = obj; return newObj; } }
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function _interopRequireDefault(obj) { return obj && obj.__esModule ? obj : { default: obj }; }
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var downsampleSeries = _timeseries2.default.downsample;
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var groupBy = _timeseries2.default.groupBy_perf;
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var groupBy_exported = function groupBy_exported(interval, groupFunc, datapoints) {
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return groupBy(datapoints, interval, groupFunc);
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};
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var sumSeries = _timeseries2.default.sumSeries;
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var delta = _timeseries2.default.delta;
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var rate = _timeseries2.default.rate;
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var scale = function scale(factor, datapoints) {
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return _timeseries2.default.scale_perf(datapoints, factor);
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};
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var simpleMovingAverage = function simpleMovingAverage(n, datapoints) {
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return _timeseries2.default.simpleMovingAverage(datapoints, n);
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};
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var expMovingAverage = function expMovingAverage(a, datapoints) {
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return _timeseries2.default.expMovingAverage(datapoints, a);
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};
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var SUM = _timeseries2.default.SUM;
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var COUNT = _timeseries2.default.COUNT;
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var AVERAGE = _timeseries2.default.AVERAGE;
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var MIN = _timeseries2.default.MIN;
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var MAX = _timeseries2.default.MAX;
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var MEDIAN = _timeseries2.default.MEDIAN;
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var PERCENTIL = _timeseries2.default.PERCENTIL;
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function limit(order, n, orderByFunc, timeseries) {
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var orderByCallback = aggregationFunctions[orderByFunc];
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var sortByIteratee = function sortByIteratee(ts) {
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var values = _lodash2.default.map(ts.datapoints, function (point) {
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return point[0];
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});
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return orderByCallback(values);
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};
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var sortedTimeseries = _lodash2.default.sortBy(timeseries, sortByIteratee);
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if (order === 'bottom') {
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return sortedTimeseries.slice(0, n);
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} else {
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return sortedTimeseries.slice(-n);
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}
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}
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function sortSeries(direction, timeseries) {
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return _lodash2.default.orderBy(timeseries, [function (ts) {
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return ts.target.toLowerCase();
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}], direction);
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}
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function setAlias(alias, timeseries) {
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timeseries.target = alias;
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return timeseries;
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}
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function replaceAlias(regexp, newAlias, timeseries) {
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var pattern = void 0;
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if (utils.isRegex(regexp)) {
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pattern = utils.buildRegex(regexp);
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} else {
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pattern = regexp;
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}
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var alias = timeseries.target.replace(pattern, newAlias);
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timeseries.target = alias;
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return timeseries;
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}
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function setAliasByRegex(alias, timeseries) {
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timeseries.target = extractText(timeseries.target, alias);
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return timeseries;
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}
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function extractText(str, pattern) {
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var extractPattern = new RegExp(pattern);
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var extractedValue = extractPattern.exec(str);
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extractedValue = extractedValue[0];
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return extractedValue;
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}
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function groupByWrapper(interval, groupFunc, datapoints) {
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var groupByCallback = aggregationFunctions[groupFunc];
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return groupBy(datapoints, interval, groupByCallback);
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}
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function aggregateByWrapper(interval, aggregateFunc, datapoints) {
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// Flatten all points in frame and then just use groupBy()
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var flattenedPoints = _lodash2.default.flatten(datapoints, true);
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var groupByCallback = aggregationFunctions[aggregateFunc];
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return groupBy(flattenedPoints, interval, groupByCallback);
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}
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function aggregateWrapper(groupByCallback, interval, datapoints) {
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var flattenedPoints = _lodash2.default.flatten(datapoints, true);
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return groupBy(flattenedPoints, interval, groupByCallback);
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}
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function percentil(interval, n, datapoints) {
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var flattenedPoints = _lodash2.default.flatten(datapoints, true);
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var groupByCallback = _lodash2.default.partial(PERCENTIL, n);
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return groupBy(flattenedPoints, interval, groupByCallback);
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}
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function timeShift(interval, range) {
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var shift = utils.parseTimeShiftInterval(interval) / 1000;
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return _lodash2.default.map(range, function (time) {
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return time - shift;
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});
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}
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function unShiftTimeSeries(interval, datapoints) {
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var unshift = utils.parseTimeShiftInterval(interval);
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return _lodash2.default.map(datapoints, function (dp) {
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return [dp[0], dp[1] + unshift];
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});
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}
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var metricFunctions = {
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groupBy: groupByWrapper,
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scale: scale,
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delta: delta,
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rate: rate,
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movingAverage: simpleMovingAverage,
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exponentialMovingAverage: expMovingAverage,
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aggregateBy: aggregateByWrapper,
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// Predefined aggs
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percentil: percentil,
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average: _lodash2.default.partial(aggregateWrapper, AVERAGE),
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min: _lodash2.default.partial(aggregateWrapper, MIN),
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max: _lodash2.default.partial(aggregateWrapper, MAX),
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median: _lodash2.default.partial(aggregateWrapper, MEDIAN),
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sum: _lodash2.default.partial(aggregateWrapper, SUM),
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count: _lodash2.default.partial(aggregateWrapper, COUNT),
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sumSeries: sumSeries,
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top: _lodash2.default.partial(limit, 'top'),
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bottom: _lodash2.default.partial(limit, 'bottom'),
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sortSeries: sortSeries,
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timeShift: timeShift,
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setAlias: setAlias,
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setAliasByRegex: setAliasByRegex,
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replaceAlias: replaceAlias
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};
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var aggregationFunctions = {
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avg: AVERAGE,
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min: MIN,
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max: MAX,
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median: MEDIAN,
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sum: SUM,
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count: COUNT
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};
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exports.default = {
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downsampleSeries: downsampleSeries,
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groupBy: groupBy_exported,
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AVERAGE: AVERAGE,
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MIN: MIN,
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MAX: MAX,
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MEDIAN: MEDIAN,
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SUM: SUM,
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COUNT: COUNT,
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unShiftTimeSeries: unShiftTimeSeries,
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get aggregationFunctions() {
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return aggregationFunctions;
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},
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get metricFunctions() {
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return metricFunctions;
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}
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};
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