add response_parser test
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@@ -0,0 +1,109 @@
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package elasticsearch
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import (
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"encoding/json"
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"github.com/grafana/grafana/pkg/tsdb"
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. "github.com/smartystreets/goconvey/convey"
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"testing"
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)
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func testElasticsearchResponse(body string, target Query) *tsdb.QueryResult {
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var responses Responses
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err := json.Unmarshal([]byte(body), &responses)
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So(err, ShouldBeNil)
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responseParser := ElasticsearchResponseParser{responses.Responses, []*Query{&target}}
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return responseParser.getTimeSeries()
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}
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func TestElasticSearchResponseParser(t *testing.T) {
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Convey("Elasticsearch Response query testing", t, func() {
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Convey("Build test average metric with moving average", func() {
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responses := `{
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"responses": [
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{
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"took": 1,
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"timed_out": false,
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"_shards": {
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"total": 5,
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"successful": 5,
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"skipped": 0,
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"failed": 0
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},
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"hits": {
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"total": 4500,
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"max_score": 0,
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"hits": []
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},
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"aggregations": {
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"2": {
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"buckets": [
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{
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"1": {
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"value": null
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},
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"key_as_string": "1522205880000",
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"key": 1522205880000,
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"doc_count": 0
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},
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{
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"1": {
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"value": 10
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},
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"key_as_string": "1522205940000",
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"key": 1522205940000,
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"doc_count": 300
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},
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{
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"1": {
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"value": 10
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},
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"3": {
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"value": 20
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},
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"key_as_string": "1522206000000",
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"key": 1522206000000,
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"doc_count": 300
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},
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{
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"1": {
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"value": 10
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},
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"3": {
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"value": 20
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},
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"key_as_string": "1522206060000",
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"key": 1522206060000,
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"doc_count": 300
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}
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]
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}
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},
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"status": 200
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}
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]
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}
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`
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res := testElasticsearchResponse(responses, avgWithMovingAvg)
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So(len(res.Series), ShouldEqual, 2)
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So(res.Series[0].Name, ShouldEqual, "Average value")
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So(len(res.Series[0].Points), ShouldEqual, 4)
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for i, p := range res.Series[0].Points {
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if i == 0 {
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So(p[0].Valid, ShouldBeFalse)
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} else {
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So(p[0].Float64, ShouldEqual, 10)
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}
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So(p[1].Float64, ShouldEqual, 1522205880000+60000*i)
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}
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So(res.Series[1].Name, ShouldEqual, "Moving Average Average 1")
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So(len(res.Series[1].Points), ShouldEqual, 2)
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for _, p := range res.Series[1].Points {
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So(p[0].Float64, ShouldEqual, 20)
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}
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})
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})
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}
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