percentil: refactor

dist/datasource-zabbix/dataProcessor.js

@@ -3,7 +3,7 @@
 System.register(['lodash', './utils', './timeseries'], function (_export, _context) {
   "use strict";
 
-  var _, utils, ts, downsampleSeries, groupBy, groupBy_exported, sumSeries, delta, rate, scale, simpleMovingAverage, expMovingAverage, SUM, COUNT, AVERAGE, MIN, MAX, MEDIAN, metricFunctions, aggregationFunctions;
+  var _, utils, ts, downsampleSeries, groupBy, groupBy_exported, sumSeries, delta, rate, scale, simpleMovingAverage, expMovingAverage, SUM, COUNT, AVERAGE, MIN, MAX, MEDIAN, PERCENTIL, metricFunctions, aggregationFunctions;
 
   function limit(order, n, orderByFunc, timeseries) {
     var orderByCallback = aggregationFunctions[orderByFunc];
@@ -68,6 +68,12 @@ System.register(['lodash', './utils', './timeseries'], function (_export, _conte
     return groupBy(flattenedPoints, interval, groupByCallback);
   }
 
+  function percentil(interval, n, datapoints) {
+    var flattenedPoints = _.flatten(datapoints, true);
+    var groupByCallback = _.partial(PERCENTIL, n);
+    return groupBy(flattenedPoints, interval, groupByCallback);
+  }
+
   function timeShift(interval, range) {
     var shift = utils.parseTimeShiftInterval(interval) / 1000;
     return _.map(range, function (time) {
@@ -120,6 +126,7 @@ System.register(['lodash', './utils', './timeseries'], function (_export, _conte
       MIN = ts.MIN;
       MAX = ts.MAX;
       MEDIAN = ts.MEDIAN;
+      PERCENTIL = ts.PERCENTIL;
       metricFunctions = {
         groupBy: groupByWrapper,
         scale: scale,
@@ -129,6 +136,7 @@ System.register(['lodash', './utils', './timeseries'], function (_export, _conte
         exponentialMovingAverage: expMovingAverage,
         aggregateBy: aggregateByWrapper,
         // Predefined aggs
+        percentil: percentil,
         average: _.partial(aggregateWrapper, AVERAGE),
         min: _.partial(aggregateWrapper, MIN),
         max: _.partial(aggregateWrapper, MAX),

dist/datasource-zabbix/metricFunctions.js

@@ -148,6 +148,13 @@ System.register(['lodash', 'jquery'], function (_export, _context) {
         defaultParams: ['1m']
       });
 
+      addFuncDef({
+        name: 'percentil',
+        category: 'Aggregate',
+        params: [{ name: 'interval', type: 'string' }, { name: 'percent', type: 'float', options: [25, 50, 75, 90, 95, 99, 99.9] }],
+        defaultParams: ['1m', 95]
+      });
+
       addFuncDef({
         name: 'min',
         category: 'Aggregate',

dist/datasource-zabbix/timeseries.js

@@ -305,6 +305,11 @@ System.register(['lodash', './utils'], function (_export, _context) {
     return ema;
   }
 
+  function PERCENTIL(n, values) {
+    var sorted = _.sortBy(values);
+    return sorted[Math.floor(sorted.length * n / 100)];
+  }
+
   function COUNT(values) {
     return values.length;
   }
@@ -474,7 +479,8 @@ System.register(['lodash', './utils'], function (_export, _context) {
         AVERAGE: AVERAGE,
         MIN: MIN,
         MAX: MAX,
-        MEDIAN: MEDIAN
+        MEDIAN: MEDIAN,
+        PERCENTIL: PERCENTIL
       };
 
       _export('default', exportedFunctions);

dist/test/datasource-zabbix/dataProcessor.js

@@ -44,6 +44,7 @@ var AVERAGE = _timeseries2.default.AVERAGE;
 var MIN = _timeseries2.default.MIN;
 var MAX = _timeseries2.default.MAX;
 var MEDIAN = _timeseries2.default.MEDIAN;
+var PERCENTIL = _timeseries2.default.PERCENTIL;
 
 function limit(order, n, orderByFunc, timeseries) {
   var orderByCallback = aggregationFunctions[orderByFunc];
@@ -108,6 +109,12 @@ function aggregateWrapper(groupByCallback, interval, datapoints) {
   return groupBy(flattenedPoints, interval, groupByCallback);
 }
 
+function percentil(interval, n, datapoints) {
+  var flattenedPoints = _lodash2.default.flatten(datapoints, true);
+  var groupByCallback = _lodash2.default.partial(PERCENTIL, n);
+  return groupBy(flattenedPoints, interval, groupByCallback);
+}
+
 function timeShift(interval, range) {
   var shift = utils.parseTimeShiftInterval(interval) / 1000;
   return _lodash2.default.map(range, function (time) {
@@ -131,6 +138,7 @@ var metricFunctions = {
   exponentialMovingAverage: expMovingAverage,
   aggregateBy: aggregateByWrapper,
   // Predefined aggs
+  percentil: percentil,
   average: _lodash2.default.partial(aggregateWrapper, AVERAGE),
   min: _lodash2.default.partial(aggregateWrapper, MIN),
   max: _lodash2.default.partial(aggregateWrapper, MAX),

dist/test/datasource-zabbix/metricFunctions.js

@@ -111,6 +111,13 @@ addFuncDef({
   defaultParams: ['1m']
 });
 
+addFuncDef({
+  name: 'percentil',
+  category: 'Aggregate',
+  params: [{ name: 'interval', type: 'string' }, { name: 'percent', type: 'float', options: [25, 50, 75, 90, 95, 99, 99.9] }],
+  defaultParams: ['1m', 95]
+});
+
 addFuncDef({
   name: 'min',
   category: 'Aggregate',

dist/test/datasource-zabbix/timeseries.js

@@ -330,6 +330,11 @@ function expMovingAverage(datapoints, n) {
   return ema;
 }
 
+function PERCENTIL(n, values) {
+  var sorted = _lodash2.default.sortBy(values);
+  return sorted[Math.floor(sorted.length * n / 100)];
+}
+
 function COUNT(values) {
   return values.length;
 }
@@ -490,7 +495,8 @@ var exportedFunctions = {
   AVERAGE: AVERAGE,
   MIN: MIN,
   MAX: MAX,
-  MEDIAN: MEDIAN
+  MEDIAN: MEDIAN,
+  PERCENTIL: PERCENTIL
 };
 
 exports.default = exportedFunctions;

src/datasource-zabbix/dataProcessor.js

@@ -18,6 +18,7 @@ let AVERAGE = ts.AVERAGE;
 let MIN = ts.MIN;
 let MAX = ts.MAX;
 let MEDIAN = ts.MEDIAN;
+let PERCENTIL = ts.PERCENTIL;
 
 function limit(order, n, orderByFunc, timeseries) {
   let orderByCallback = aggregationFunctions[orderByFunc];
@@ -82,6 +83,12 @@ function aggregateWrapper(groupByCallback, interval, datapoints) {
   return groupBy(flattenedPoints, interval, groupByCallback);
 }
 
+function percentil(interval, n, datapoints) {
+  var flattenedPoints = _.flatten(datapoints, true);
+  var groupByCallback = _.partial(PERCENTIL, n);
+  return groupBy(flattenedPoints, interval, groupByCallback);
+}
+
 function timeShift(interval, range) {
   let shift = utils.parseTimeShiftInterval(interval) / 1000;
   return _.map(range, time => {
@@ -108,6 +115,7 @@ let metricFunctions = {
   exponentialMovingAverage: expMovingAverage,
   aggregateBy: aggregateByWrapper,
   // Predefined aggs
+  percentil: percentil,
   average: _.partial(aggregateWrapper, AVERAGE),
   min: _.partial(aggregateWrapper, MIN),
   max: _.partial(aggregateWrapper, MAX),

src/datasource-zabbix/metricFunctions.js

@@ -108,9 +108,9 @@ addFuncDef({
   category: 'Aggregate',
   params: [
     { name: 'interval', type: 'string' },
-    { name: 'percent', type: 'string' }
+    { name: 'percent', type: 'float', options: [25, 50, 75, 90, 95, 99, 99.9] }
   ],
-  defaultParams: ['1m','95'],
+  defaultParams: ['1m', 95],
 });
 
 addFuncDef({

src/datasource-zabbix/timeseries.js

@@ -322,6 +322,11 @@ function expMovingAverage(datapoints, n) {
   return ema;
 }
 
+function PERCENTIL(n, values) {
+  var sorted = _.sortBy(values);
+  return sorted[Math.floor(sorted.length * n / 100)];
+}
+
 function COUNT(values) {
   return values.length;
 }
@@ -482,7 +487,8 @@ const exportedFunctions = {
   AVERAGE,
   MIN,
   MAX,
-  MEDIAN
+  MEDIAN,
+  PERCENTIL
 };
 
 export default exportedFunctions;