mirror of https://github.com/grafana/grafana.git
				
				
				
			
		
			
				
	
	
		
			162 lines
		
	
	
		
			6.2 KiB
		
	
	
	
		
			Go
		
	
	
	
			
		
		
	
	
			162 lines
		
	
	
		
			6.2 KiB
		
	
	
	
		
			Go
		
	
	
	
| package stackdriver
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| 
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| import (
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| 	"encoding/json"
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| 	"fmt"
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| 	"io/ioutil"
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| 	"testing"
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| 	"time"
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| 
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| 	"github.com/grafana/grafana/pkg/components/simplejson"
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| 	"github.com/grafana/grafana/pkg/tsdb"
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| 
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| 	. "github.com/smartystreets/goconvey/convey"
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| )
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| 
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| func TestStackdriver(t *testing.T) {
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| 	Convey("Stackdriver", t, func() {
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| 		executor := &StackdriverExecutor{}
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| 
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| 		Convey("Parse queries from frontend and build Stackdriver API queries", func() {
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| 			fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
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| 			tsdbQuery := &tsdb.TsdbQuery{
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| 				TimeRange: &tsdb.TimeRange{
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| 					From: fmt.Sprintf("%v", fromStart.Unix()*1000),
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| 					To:   fmt.Sprintf("%v", fromStart.Add(34*time.Minute).Unix()*1000),
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| 				},
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| 				Queries: []*tsdb.Query{
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| 					{
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| 						Model: simplejson.NewFromAny(map[string]interface{}{
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| 							"target":     "target",
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| 							"metricType": "a/metric/type",
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| 						}),
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| 						RefId: "A",
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| 					},
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| 				},
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| 			}
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| 
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| 			Convey("and query has no aggregation set", func() {
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| 				queries, err := executor.buildQueries(tsdbQuery)
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| 				So(err, ShouldBeNil)
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| 
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| 				So(len(queries), ShouldEqual, 1)
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| 				So(queries[0].RefID, ShouldEqual, "A")
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| 				So(queries[0].Target, ShouldEqual, "target")
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| 				So(len(queries[0].Params), ShouldEqual, 4)
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| 				So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
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| 				So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
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| 				So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_NONE")
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| 				So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
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| 			})
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| 
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| 			Convey("and query has aggregation mean set", func() {
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| 				tsdbQuery.Queries[0].Model = simplejson.NewFromAny(map[string]interface{}{
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| 					"target":             "target",
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| 					"metricType":         "a/metric/type",
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| 					"primaryAggregation": "REDUCE_MEAN",
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| 				})
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| 
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| 				queries, err := executor.buildQueries(tsdbQuery)
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| 				So(err, ShouldBeNil)
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| 
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| 				So(len(queries), ShouldEqual, 1)
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| 				So(queries[0].RefID, ShouldEqual, "A")
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| 				So(queries[0].Target, ShouldEqual, "target")
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| 				So(len(queries[0].Params), ShouldEqual, 6)
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| 				So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
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| 				So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
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| 				So(queries[0].Params["aggregation.crossSeriesReducer"][0], ShouldEqual, "REDUCE_MEAN")
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| 				So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_MEAN")
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| 				So(queries[0].Params["aggregation.alignmentPeriod"][0], ShouldEqual, "+60s")
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| 				So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
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| 			})
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| 
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| 			Convey("and query has group bys", func() {
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| 				tsdbQuery.Queries[0].Model = simplejson.NewFromAny(map[string]interface{}{
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| 					"target":             "target",
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| 					"metricType":         "a/metric/type",
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| 					"primaryAggregation": "REDUCE_NONE",
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| 					"groupBys":           []interface{}{"metric.label.group1", "metric.label.group2"},
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| 				})
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| 
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| 				queries, err := executor.buildQueries(tsdbQuery)
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| 				So(err, ShouldBeNil)
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| 
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| 				So(len(queries), ShouldEqual, 1)
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| 				So(queries[0].RefID, ShouldEqual, "A")
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| 				So(queries[0].Target, ShouldEqual, "target")
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| 				So(len(queries[0].Params), ShouldEqual, 5)
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| 				So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
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| 				So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
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| 				So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_NONE")
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| 				So(queries[0].Params["aggregation.groupByFields"][0], ShouldEqual, "metric.label.group1")
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| 				So(queries[0].Params["aggregation.groupByFields"][1], ShouldEqual, "metric.label.group2")
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| 				So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
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| 			})
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| 
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| 		})
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| 
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| 		Convey("Parse stackdriver response in the time series format", func() {
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| 			Convey("when data from query aggregated to one time series", func() {
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| 				var data StackDriverResponse
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| 
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| 				jsonBody, err := ioutil.ReadFile("./test-data/1-series-response-agg-one-metric.json")
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| 				So(err, ShouldBeNil)
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| 				err = json.Unmarshal(jsonBody, &data)
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| 				So(err, ShouldBeNil)
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| 				So(len(data.TimeSeries), ShouldEqual, 1)
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| 
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| 				res := &tsdb.QueryResult{Meta: simplejson.New(), RefId: "A"}
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| 				err = executor.parseResponse(res, data)
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| 				So(err, ShouldBeNil)
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| 
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| 				So(len(res.Series), ShouldEqual, 1)
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| 				So(res.Series[0].Name, ShouldEqual, "serviceruntime.googleapis.com/api/request_count")
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| 				So(len(res.Series[0].Points), ShouldEqual, 3)
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| 
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| 				Convey("timestamps should be in ascending order", func() {
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| 					So(res.Series[0].Points[0][0].Float64, ShouldEqual, 0.05)
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| 					So(res.Series[0].Points[0][1].Float64, ShouldEqual, 1536670020000)
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| 
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| 					So(res.Series[0].Points[1][0].Float64, ShouldEqual, 1.05)
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| 					So(res.Series[0].Points[1][1].Float64, ShouldEqual, 1536670080000)
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| 
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| 					So(res.Series[0].Points[2][0].Float64, ShouldEqual, 1.0666666666667)
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| 					So(res.Series[0].Points[2][1].Float64, ShouldEqual, 1536670260000)
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| 				})
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| 			})
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| 
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| 			Convey("when data from query with no aggregation", func() {
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| 				var data StackDriverResponse
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| 
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| 				jsonBody, err := ioutil.ReadFile("./test-data/2-series-response-no-agg.json")
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| 				So(err, ShouldBeNil)
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| 				err = json.Unmarshal(jsonBody, &data)
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| 				So(err, ShouldBeNil)
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| 				So(len(data.TimeSeries), ShouldEqual, 3)
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| 
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| 				res := &tsdb.QueryResult{Meta: simplejson.New(), RefId: "A"}
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| 				err = executor.parseResponse(res, data)
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| 				So(err, ShouldBeNil)
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| 
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| 				Convey("Should add labels to metric name", func() {
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| 					So(len(res.Series), ShouldEqual, 3)
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| 					So(res.Series[0].Name, ShouldEqual, "compute.googleapis.com/instance/cpu/usage_time collector-asia-east-1")
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| 					So(res.Series[1].Name, ShouldEqual, "compute.googleapis.com/instance/cpu/usage_time collector-europe-west-1")
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| 					So(res.Series[2].Name, ShouldEqual, "compute.googleapis.com/instance/cpu/usage_time collector-us-east-1")
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| 
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| 					So(len(res.Series[0].Points), ShouldEqual, 3)
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| 					So(res.Series[0].Points[0][0].Float64, ShouldEqual, 9.8566497180145)
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| 					So(res.Series[0].Points[1][0].Float64, ShouldEqual, 9.7323568146676)
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| 					So(res.Series[0].Points[2][0].Float64, ShouldEqual, 9.7730520330369)
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| 				})
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| 
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| 				Convey("Should add meta for labels to the response", func() {
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| 					instanceName := res.Meta.Get("metricLabels").MustMap()["instance_name"]
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| 					So(instanceName, ShouldNotBeNil)
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| 				})
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| 			})
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| 		})
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| 	})
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| }
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