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grafana/pkg/tsdb/stackdriver/stackdriver_test.go

195 lines
7.8 KiB

package stackdriver
import (
"encoding/json"
"fmt"
"io/ioutil"
"testing"
"time"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/tsdb"
. "github.com/smartystreets/goconvey/convey"
)
func TestStackdriver(t *testing.T) {
Convey("Stackdriver", t, func() {
executor := &StackdriverExecutor{}
Convey("Parse queries from frontend and build Stackdriver API queries", func() {
fromStart := time.Date(2018, 3, 15, 13, 0, 0, 0, time.UTC).In(time.Local)
tsdbQuery := &tsdb.TsdbQuery{
TimeRange: &tsdb.TimeRange{
From: fmt.Sprintf("%v", fromStart.Unix()*1000),
To: fmt.Sprintf("%v", fromStart.Add(34*time.Minute).Unix()*1000),
},
Queries: []*tsdb.Query{
{
Model: simplejson.NewFromAny(map[string]interface{}{
"target": "target",
"metricType": "a/metric/type",
"view": "FULL",
}),
RefId: "A",
},
},
}
Convey("and query has no aggregation set", func() {
queries, err := executor.buildQueries(tsdbQuery)
So(err, ShouldBeNil)
So(len(queries), ShouldEqual, 1)
So(queries[0].RefID, ShouldEqual, "A")
So(queries[0].Target, ShouldEqual, "target")
So(len(queries[0].Params), ShouldEqual, 5)
So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_NONE")
So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
So(queries[0].Params["view"][0], ShouldEqual, "FULL")
})
Convey("and query has filters", func() {
tsdbQuery.Queries[0].Model = simplejson.NewFromAny(map[string]interface{}{
"target": "target",
"metricType": "a/metric/type",
"filters": []interface{}{"key", "=", "value", "AND", "key2", "=", "value2"},
})
queries, err := executor.buildQueries(tsdbQuery)
So(err, ShouldBeNil)
So(len(queries), ShouldEqual, 1)
So(queries[0].Params["filter"][0], ShouldEqual, `metric.type="a/metric/type" key="value" key2="value2"`)
})
Convey("and query has aggregation mean set", func() {
tsdbQuery.Queries[0].Model = simplejson.NewFromAny(map[string]interface{}{
"target": "target",
"metricType": "a/metric/type",
"primaryAggregation": "REDUCE_MEAN",
"view": "FULL",
})
queries, err := executor.buildQueries(tsdbQuery)
So(err, ShouldBeNil)
So(len(queries), ShouldEqual, 1)
So(queries[0].RefID, ShouldEqual, "A")
So(queries[0].Target, ShouldEqual, "target")
So(len(queries[0].Params), ShouldEqual, 7)
So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
So(queries[0].Params["aggregation.crossSeriesReducer"][0], ShouldEqual, "REDUCE_MEAN")
So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_MEAN")
So(queries[0].Params["aggregation.alignmentPeriod"][0], ShouldEqual, "+60s")
So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
So(queries[0].Params["view"][0], ShouldEqual, "FULL")
})
Convey("and query has group bys", func() {
tsdbQuery.Queries[0].Model = simplejson.NewFromAny(map[string]interface{}{
"target": "target",
"metricType": "a/metric/type",
"primaryAggregation": "REDUCE_NONE",
"groupBys": []interface{}{"metric.label.group1", "metric.label.group2"},
"view": "FULL",
})
queries, err := executor.buildQueries(tsdbQuery)
So(err, ShouldBeNil)
So(len(queries), ShouldEqual, 1)
So(queries[0].RefID, ShouldEqual, "A")
So(queries[0].Target, ShouldEqual, "target")
So(len(queries[0].Params), ShouldEqual, 6)
So(queries[0].Params["interval.startTime"][0], ShouldEqual, "2018-03-15T13:00:00Z")
So(queries[0].Params["interval.endTime"][0], ShouldEqual, "2018-03-15T13:34:00Z")
So(queries[0].Params["aggregation.perSeriesAligner"][0], ShouldEqual, "ALIGN_NONE")
So(queries[0].Params["aggregation.groupByFields"][0], ShouldEqual, "metric.label.group1")
So(queries[0].Params["aggregation.groupByFields"][1], ShouldEqual, "metric.label.group2")
So(queries[0].Params["filter"][0], ShouldEqual, "metric.type=\"a/metric/type\"")
So(queries[0].Params["view"][0], ShouldEqual, "FULL")
})
})
Convey("Parse stackdriver response in the time series format", func() {
Convey("when data from query aggregated to one time series", func() {
var data StackdriverResponse
jsonBody, err := ioutil.ReadFile("./test-data/1-series-response-agg-one-metric.json")
So(err, ShouldBeNil)
err = json.Unmarshal(jsonBody, &data)
So(err, ShouldBeNil)
So(len(data.TimeSeries), ShouldEqual, 1)
res := &tsdb.QueryResult{Meta: simplejson.New(), RefId: "A"}
err = executor.parseResponse(res, data)
So(err, ShouldBeNil)
So(len(res.Series), ShouldEqual, 1)
So(res.Series[0].Name, ShouldEqual, "serviceruntime.googleapis.com/api/request_count")
So(len(res.Series[0].Points), ShouldEqual, 3)
Convey("timestamps should be in ascending order", func() {
So(res.Series[0].Points[0][0].Float64, ShouldEqual, 0.05)
So(res.Series[0].Points[0][1].Float64, ShouldEqual, 1536670020000)
So(res.Series[0].Points[1][0].Float64, ShouldEqual, 1.05)
So(res.Series[0].Points[1][1].Float64, ShouldEqual, 1536670080000)
So(res.Series[0].Points[2][0].Float64, ShouldEqual, 1.0666666666667)
So(res.Series[0].Points[2][1].Float64, ShouldEqual, 1536670260000)
})
})
Convey("when data from query with no aggregation", func() {
var data StackdriverResponse
jsonBody, err := ioutil.ReadFile("./test-data/2-series-response-no-agg.json")
So(err, ShouldBeNil)
err = json.Unmarshal(jsonBody, &data)
So(err, ShouldBeNil)
So(len(data.TimeSeries), ShouldEqual, 3)
res := &tsdb.QueryResult{Meta: simplejson.New(), RefId: "A"}
err = executor.parseResponse(res, data)
So(err, ShouldBeNil)
Convey("Should add labels to metric name", func() {
So(len(res.Series), ShouldEqual, 3)
So(res.Series[0].Name, ShouldEqual, "compute.googleapis.com/instance/cpu/usage_time collector-asia-east-1")
So(res.Series[1].Name, ShouldEqual, "compute.googleapis.com/instance/cpu/usage_time collector-europe-west-1")
So(res.Series[2].Name, ShouldEqual, "compute.googleapis.com/instance/cpu/usage_time collector-us-east-1")
So(len(res.Series[0].Points), ShouldEqual, 3)
So(res.Series[0].Points[0][0].Float64, ShouldEqual, 9.8566497180145)
So(res.Series[0].Points[1][0].Float64, ShouldEqual, 9.7323568146676)
So(res.Series[0].Points[2][0].Float64, ShouldEqual, 9.7730520330369)
})
Convey("Should add meta for labels to the response", func() {
metricLabels := res.Meta.Get("metricLabels").Interface().(map[string][]string)
So(metricLabels, ShouldNotBeNil)
So(len(metricLabels["instance_name"]), ShouldEqual, 3)
So(metricLabels["instance_name"][0], ShouldEqual, "collector-asia-east-1")
So(metricLabels["instance_name"][1], ShouldEqual, "collector-europe-west-1")
So(metricLabels["instance_name"][2], ShouldEqual, "collector-us-east-1")
resourceLabels := res.Meta.Get("resourceLabels").Interface().(map[string][]string)
So(resourceLabels, ShouldNotBeNil)
So(len(resourceLabels["zone"]), ShouldEqual, 3)
So(resourceLabels["zone"][0], ShouldEqual, "asia-east1-a")
So(resourceLabels["zone"][1], ShouldEqual, "europe-west1-b")
So(resourceLabels["zone"][2], ShouldEqual, "us-east1-b")
So(len(resourceLabels["project_id"]), ShouldEqual, 1)
So(resourceLabels["project_id"][0], ShouldEqual, "grafana-prod")
})
})
})
})
}