Added aggregation functions processing.

plugins/datasource-zabbix/dataProcessingService.js

@@ -2,10 +2,9 @@ define([
   'angular',
   'lodash',
   'moment',
-  './utils',
+  './utils'
-  './metricFunctions'
 ],
-function (angular, _, moment, utils, metricFunctions) {
+function (angular, _, moment, utils) {
   'use strict';
 
   var module = angular.module('grafana.services');
@@ -118,8 +117,16 @@ function (angular, _, moment, utils, metricFunctions) {
       return self.groupBy(interval, groupByCallback, datapoints);
     };
 
+    this.aggregateWrapper = function(groupByCallback, interval, datapoints) {
+      var flattenedPoints = _.flatten(datapoints, true);
+      return self.groupBy(interval, groupByCallback, flattenedPoints);
+    };
+
     this.metricFunctions = {
       groupBy: this.groupByWrapper,
+      average: _.partial(this.aggregateWrapper, this.AVERAGE),
+      min: _.partial(this.aggregateWrapper, this.MIN),
+      max: _.partial(this.aggregateWrapper, this.MAX),
     };
 
   });

plugins/datasource-zabbix/datasource.js

@@ -144,7 +144,7 @@ function (angular, _, dateMath, utils, metricFunctions) {
             }
 
             return getHistory.then(function (timeseries_data) {
-              return _.map(timeseries_data, function (timeseries) {
+              timeseries_data = _.map(timeseries_data, function (timeseries) {
 
                 // Filter only transform functions
                 var transformFunctions = _.map(metricFunctions.getCategories()['Transform'], 'name');
@@ -164,6 +164,27 @@ function (angular, _, dateMath, utils, metricFunctions) {
 
                 return timeseries;
               });
+
+              // Aggregations
+              var aggregationFunctions = _.map(metricFunctions.getCategories()['Aggregate'], 'name');
+              var aggFuncDefs = _.filter(target.functions, function(func) {
+                return _.contains(aggregationFunctions, func.def.name);
+              });
+              var functions = _.map(aggFuncDefs, function(func) {
+                return func.bindFunction(DataProcessingService.metricFunctions);
+              });
+              var dp = _.map(timeseries_data, 'datapoints');
+
+              if (functions.length) {
+                for (var i = 0; i < functions.length; i++) {
+                  dp = functions[i](dp);
+                }
+                timeseries_data = {
+                  target: 'agg',
+                  datapoints: dp
+                };
+              }
+              return timeseries_data;
             });
           }
 
@@ -219,9 +240,9 @@ function (angular, _, dateMath, utils, metricFunctions) {
       return $q.all(_.flatten(promises))
         .then(_.flatten)
         .then(function (timeseries_data) {
-          var data = _.map(timeseries_data, function(timeseries) {
 
-            // Series downsampling
+          // Series downsampling
+          var data = _.map(timeseries_data, function(timeseries) {
             var DPS = DataProcessingService;
             if (timeseries.datapoints.length > options.maxDataPoints) {
               timeseries.datapoints = DPS.groupBy(options.interval, DPS.AVERAGE, timeseries.datapoints);

plugins/datasource-zabbix/metricFunctions.js

@@ -65,10 +65,37 @@ function (_, $) {
   });
 
   addFuncDef({
-    name: "holtWintersConfidenceBands",
+    name: 'sum',
     category: categories.Aggregate,
-    params: [{ name: "delta", type: 'int' }],
+    params: [],
-    defaultParams: [3]
+    defaultParams: [],
+  });
+
+  addFuncDef({
+    name: 'average',
+    category: categories.Aggregate,
+    params: [
+      { name: 'interval', type: 'string' }
+    ],
+    defaultParams: ['1m'],
+  });
+
+  addFuncDef({
+    name: 'min',
+    category: categories.Aggregate,
+    params: [
+      { name: 'interval', type: 'string' }
+    ],
+    defaultParams: ['1m'],
+  });
+
+  addFuncDef({
+    name: 'max',
+    category: categories.Aggregate,
+    params: [
+      { name: 'interval', type: 'string' }
+    ],
+    defaultParams: ['1m'],
   });
 
   addFuncDef({