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add test

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This commit is contained in:
Mitsuhiro Tanda
2018-10-02 22:45:54 +09:00
parent 6770f2e940
commit c2c0cdb49c
2 changed files with 154 additions and 0 deletions
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42
pkg/tsdb/stackdriver/stackdriver_test.go
View File

@@ -4,6 +4,8 @@ import (
"encoding/json"
"fmt"
"io/ioutil"
"math"
"strconv"
"testing"
"time"
@@ -341,6 +343,46 @@ func TestStackdriver(t *testing.T) {
})
})
})
Convey("when data from query is distribution", func() {
data, err := loadTestFile("./test-data/3-series-response-distribution.json")
So(err, ShouldBeNil)
So(len(data.TimeSeries), ShouldEqual, 1)
res := &tsdb.QueryResult{Meta: simplejson.New(), RefId: "A"}
query := &StackdriverQuery{AliasBy: "{{bucket}}"}
err = executor.parseResponse(res, data, query)
So(err, ShouldBeNil)
So(len(res.Series), ShouldEqual, 11)
for i := 0; i < 11; i++ {
if i == 0 {
So(res.Series[i].Name, ShouldEqual, "0")
} else {
So(res.Series[i].Name, ShouldEqual, strconv.FormatInt(int64(math.Pow(float64(2), float64(i-1))), 10))
}
So(len(res.Series[i].Points), ShouldEqual, 3)
}
Convey("timestamps should be in ascending order", func() {
So(res.Series[0].Points[0][1].Float64, ShouldEqual, 1536668940000)
So(res.Series[0].Points[1][1].Float64, ShouldEqual, 1536669000000)
So(res.Series[0].Points[2][1].Float64, ShouldEqual, 1536669060000)
})
Convey("value should be correct", func() {
So(res.Series[8].Points[0][0].Float64, ShouldEqual, 1)
So(res.Series[9].Points[0][0].Float64, ShouldEqual, 1)
So(res.Series[10].Points[0][0].Float64, ShouldEqual, 1)
So(res.Series[8].Points[1][0].Float64, ShouldEqual, 0)
So(res.Series[9].Points[1][0].Float64, ShouldEqual, 0)
So(res.Series[10].Points[1][0].Float64, ShouldEqual, 1)
So(res.Series[8].Points[2][0].Float64, ShouldEqual, 0)
So(res.Series[9].Points[2][0].Float64, ShouldEqual, 1)
So(res.Series[10].Points[2][0].Float64, ShouldEqual, 0)
})
})
})
})
}

112
pkg/tsdb/stackdriver/test-data/3-series-response-distribution.json Normal file
View File

@@ -0,0 +1,112 @@
{
"timeSeries": [
{
"metric": {
"type": "loadbalancing.googleapis.com\/https\/backend_latencies"
},
"resource": {
"type": "https_lb_rule",
"labels": {
"project_id": "grafana-prod"
}
},
"metricKind": "DELTA",
"valueType": "DISTRIBUTION",
"points": [
{
"interval": {
"startTime": "2018-09-11T12:30:00Z",
"endTime": "2018-09-11T12:31:00Z"
},
"value": {
"distributionValue": {
"count": "1",
"bucketOptions": {
"exponentialBuckets": {
"numFiniteBuckets": 10,
"growthFactor": 2,
"scale": 1
}
},
"bucketCounts": [
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"1",
"0"
]
}
}
},
{
"interval": {
"startTime": "2018-09-11T12:29:00Z",
"endTime": "2018-09-11T12:30:00Z"
},
"value": {
"distributionValue": {
"count": "1",
"bucketOptions": {
"exponentialBuckets": {
"numFiniteBuckets": 10,
"growthFactor": 2,
"scale": 1
}
},
"bucketCounts": [
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"1"
]
}
}
},
{
"interval": {
"startTime": "2018-09-11T12:28:00Z",
"endTime": "2018-09-11T12:29:00Z"
},
"value": {
"distributionValue": {
"count": "3",
"bucketOptions": {
"exponentialBuckets": {
"numFiniteBuckets": 10,
"growthFactor": 2,
"scale": 1
}
},
"bucketCounts": [
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"0",
"1",
"1",
"1"
]
}
}
}
]
}
]
}