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6e071d030f
grafana/pkg/tsdb/elasticsearch/response_parser_test.go
Dimitris Sotirakis 12320dda3c
Elasticsearch: Fix metric names for alert queries (#38546) 
* Export fieldName to var

* Add empty string as frame name
2021-08-26 09:20:38 +02:00

1097 lines
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package elasticsearch
import (
"encoding/json"
"fmt"
"testing"
"time"
"github.com/grafana/grafana-plugin-sdk-go/backend"
es "github.com/grafana/grafana/pkg/tsdb/elasticsearch/client"
"github.com/stretchr/testify/assert"
"github.com/stretchr/testify/require"
)
func TestResponseParser(t *testing.T) {
t.Run("Elasticsearch response parser test", func(t *testing.T) {
t.Run("Simple query and count", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "count", "id": "1" }],
"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "2" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"doc_count": 10,
"key": 1000
},
{
"doc_count": 15,
"key": 2000
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.Len(t, dataframes, 1)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Count")
})
t.Run("Simple query count & avg aggregation", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "count", "id": "1" }, {"type": "avg", "field": "value", "id": "2" }],
"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "3" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"3": {
"buckets": [
{
"2": { "value": 88 },
"doc_count": 10,
"key": 1000
},
{
"2": { "value": 99 },
"doc_count": 15,
"key": 2000
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 2)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Count")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Average value")
})
t.Run("Single group by query one metric", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "count", "id": "1" }],
"bucketAggs": [
{ "type": "terms", "field": "host", "id": "2" },
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"3": {
"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }]
},
"doc_count": 4,
"key": "server1"
},
{
"3": {
"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
},
"doc_count": 10,
"key": "server2"
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 2)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2")
})
t.Run("Single group by query two metrics", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "count", "id": "1" }, { "type": "avg", "field": "@value", "id": "4" }],
"bucketAggs": [
{ "type": "terms", "field": "host", "id": "2" },
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"3": {
"buckets": [
{ "4": { "value": 10 }, "doc_count": 1, "key": 1000 },
{ "4": { "value": 12 }, "doc_count": 3, "key": 2000 }
]
},
"doc_count": 4,
"key": "server1"
},
{
"3": {
"buckets": [
{ "4": { "value": 20 }, "doc_count": 1, "key": 1000 },
{ "4": { "value": 32 }, "doc_count": 3, "key": 2000 }
]
},
"doc_count": 10,
"key": "server2"
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 4)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1 Count")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1 Average @value")
frame = dataframes[2]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2 Count")
frame = dataframes[3]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2 Average @value")
})
t.Run("With percentiles", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "percentiles", "settings": { "percents": [75, 90] }, "id": "1" }],
"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "3" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"3": {
"buckets": [
{
"1": { "values": { "75": 3.3, "90": 5.5 } },
"doc_count": 10,
"key": 1000
},
{
"1": { "values": { "75": 2.3, "90": 4.5 } },
"doc_count": 15,
"key": 2000
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 2)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "p75")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "p90")
})
t.Run("With extended stats", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "extended_stats", "meta": { "max": true, "std_deviation_bounds_upper": true, "std_deviation_bounds_lower": true }, "id": "1" }],
"bucketAggs": [
{ "type": "terms", "field": "host", "id": "3" },
{ "type": "date_histogram", "field": "@timestamp", "id": "4" }
]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"3": {
"buckets": [
{
"key": "server1",
"4": {
"buckets": [
{
"1": {
"max": 10.2,
"min": 5.5,
"std_deviation_bounds": { "upper": 3, "lower": -2 }
},
"doc_count": 10,
"key": 1000
}
]
}
},
{
"key": "server2",
"4": {
"buckets": [
{
"1": {
"max": 15.5,
"min": 3.4,
"std_deviation_bounds": { "upper": 4, "lower": -1 }
},
"doc_count": 10,
"key": 1000
}
]
}
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 6)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1 Max")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1 Std Dev Lower")
frame = dataframes[2]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1 Std Dev Upper")
frame = dataframes[3]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2 Max")
frame = dataframes[4]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2 Std Dev Lower")
frame = dataframes[5]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2 Std Dev Upper")
})
t.Run("Single group by with alias pattern", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"alias": "{{term @host}} {{metric}} and {{not_exist}} {{@host}}",
"metrics": [{ "type": "count", "id": "1" }],
"bucketAggs": [
{ "type": "terms", "field": "@host", "id": "2" },
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"3": {
"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }]
},
"doc_count": 4,
"key": "server1"
},
{
"3": {
"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
},
"doc_count": 10,
"key": "server2"
},
{
"3": {
"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
},
"doc_count": 10,
"key": 0
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 3)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server1 Count and {{not_exist}} server1")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "server2 Count and {{not_exist}} server2")
frame = dataframes[2]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "0 Count and {{not_exist}} 0")
})
t.Run("Histogram response", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "count", "id": "1" }],
"bucketAggs": [{ "type": "histogram", "field": "bytes", "id": "3" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"3": {
"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }, { "doc_count": 2, "key": 3000 }]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 1)
})
t.Run("With two filters agg", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "count", "id": "1" }],
"bucketAggs": [
{
"type": "filters",
"id": "2",
"settings": {
"filters": [{ "query": "@metric:cpu" }, { "query": "@metric:logins.count" }]
}
},
{ "type": "date_histogram", "field": "@timestamp", "id": "3" }
]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": {
"@metric:cpu": {
"3": {
"buckets": [{ "doc_count": 1, "key": 1000 }, { "doc_count": 3, "key": 2000 }]
}
},
"@metric:logins.count": {
"3": {
"buckets": [{ "doc_count": 2, "key": 1000 }, { "doc_count": 8, "key": 2000 }]
}
}
}
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 2)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "@metric:cpu")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "@metric:logins.count")
})
t.Run("With dropfirst and last aggregation", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "avg", "id": "1" }, { "type": "count" }],
"bucketAggs": [
{
"type": "date_histogram",
"field": "@timestamp",
"id": "2",
"settings": { "trimEdges": 1 }
}
]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"1": { "value": 1000 },
"key": 1,
"doc_count": 369
},
{
"1": { "value": 2000 },
"key": 2,
"doc_count": 200
},
{
"1": { "value": 2000 },
"key": 3,
"doc_count": 200
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 2)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Average")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Count")
})
t.Run("No group by time", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "avg", "id": "1" }, { "type": "count" }],
"bucketAggs": [{ "type": "terms", "field": "host", "id": "2" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"1": { "value": 1000 },
"key": "server-1",
"doc_count": 369
},
{
"1": { "value": 2000 },
"key": "server-2",
"doc_count": 200
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 1)
frame := dataframes[0]
require.Len(t, frame.Fields, 3)
require.Equal(t, frame.Fields[0].Name, "host")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "Average")
require.Equal(t, frame.Fields[1].Len(), 2)
require.Equal(t, frame.Fields[2].Name, "Count")
require.Equal(t, frame.Fields[2].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "")
})
t.Run("Multiple metrics of same type", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [{ "type": "avg", "field": "test", "id": "1" }, { "type": "avg", "field": "test2", "id": "2" }],
"bucketAggs": [{ "type": "terms", "field": "host", "id": "2" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"1": { "value": 1000 },
"2": { "value": 3000 },
"key": "server-1",
"doc_count": 369
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 1)
frame := dataframes[0]
require.Len(t, frame.Fields, 3)
require.Equal(t, frame.Fields[0].Name, "host")
require.Equal(t, frame.Fields[0].Len(), 1)
require.Equal(t, frame.Fields[1].Name, "Average test")
require.Equal(t, frame.Fields[1].Len(), 1)
require.Equal(t, frame.Fields[2].Name, "Average test2")
require.Equal(t, frame.Fields[2].Len(), 1)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "")
})
t.Run("With bucket_script", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [
{ "id": "1", "type": "sum", "field": "@value" },
{ "id": "3", "type": "max", "field": "@value" },
{
"id": "4",
"field": "select field",
"pipelineVariables": [{ "name": "var1", "pipelineAgg": "1" }, { "name": "var2", "pipelineAgg": "3" }],
"settings": { "script": "params.var1 * params.var2" },
"type": "bucket_script"
}
],
"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "2" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"1": { "value": 2 },
"3": { "value": 3 },
"4": { "value": 6 },
"doc_count": 60,
"key": 1000
},
{
"1": { "value": 3 },
"3": { "value": 4 },
"4": { "value": 12 },
"doc_count": 60,
"key": 2000
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 3)
frame := dataframes[0]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Sum @value")
frame = dataframes[1]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Max @value")
frame = dataframes[2]
require.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Name, "time")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "value")
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Sum @value * Max @value")
})
t.Run("Terms with two bucket_script", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [
{ "id": "1", "type": "sum", "field": "@value" },
{ "id": "3", "type": "max", "field": "@value" },
{
"id": "4",
"field": "select field",
"pipelineVariables": [{ "name": "var1", "pipelineAgg": "1" }, { "name": "var2", "pipelineAgg": "3" }],
"settings": { "script": "params.var1 * params.var2" },
"type": "bucket_script"
},
{
"id": "5",
"field": "select field",
"pipelineVariables": [{ "name": "var1", "pipelineAgg": "1" }, { "name": "var2", "pipelineAgg": "3" }],
"settings": { "script": "params.var1 * params.var2 * 2" },
"type": "bucket_script"
}
],
"bucketAggs": [{ "type": "terms", "field": "@timestamp", "id": "2" }]
}`,
}
response := `{
"responses": [
{
"aggregations": {
"2": {
"buckets": [
{
"1": { "value": 2 },
"3": { "value": 3 },
"4": { "value": 6 },
"5": { "value": 24 },
"doc_count": 60,
"key": 1000
},
{
"1": { "value": 3 },
"3": { "value": 4 },
"4": { "value": 12 },
"5": { "value": 48 },
"doc_count": 60,
"key": 2000
}
]
}
}
}
]
}`
rp, err := newResponseParserForTest(targets, response)
require.NoError(t, err)
result, err := rp.getTimeSeries()
require.NoError(t, err)
require.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
require.NotNil(t, queryRes)
dataframes := queryRes.Frames
require.NoError(t, err)
require.Len(t, dataframes, 1)
frame := dataframes[0]
require.Len(t, frame.Fields, 5)
require.Equal(t, frame.Fields[0].Name, "@timestamp")
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Name, "Sum")
require.Equal(t, frame.Fields[1].Len(), 2)
require.Equal(t, frame.Fields[2].Name, "Max")
require.Equal(t, frame.Fields[2].Len(), 2)
require.Equal(t, frame.Fields[3].Name, "params.var1 * params.var2")
require.Equal(t, frame.Fields[3].Len(), 2)
require.Equal(t, frame.Fields[4].Name, "params.var1 * params.var2 * 2")
require.Equal(t, frame.Fields[4].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "")
})
})
t.Run("With top_metrics", func(t *testing.T) {
targets := map[string]string{
"A": `{
"timeField": "@timestamp",
"metrics": [
{
"type": "top_metrics",
"settings": {
"order": "desc",
"orderBy": "@timestamp",
"metrics": ["@value", "@anotherValue"]
},
"id": "1"
}
],
"bucketAggs": [{ "type": "date_histogram", "field": "@timestamp", "id": "3" }]
}`,
}
response := `{
"responses": [{
"aggregations": {
"3": {
"buckets": [
{
"key": 1609459200000,
"key_as_string": "2021-01-01T00:00:00.000Z",
"1": {
"top": [
{ "sort": ["2021-01-01T00:00:00.000Z"], "metrics": { "@value": 1, "@anotherValue": 2 } }
]
}
},
{
"key": 1609459210000,
"key_as_string": "2021-01-01T00:00:10.000Z",
"1": {
"top": [
{ "sort": ["2021-01-01T00:00:10.000Z"], "metrics": { "@value": 1, "@anotherValue": 2 } }
]
}
}
]
}
}
}]
}`
rp, err := newResponseParserForTest(targets, response)
assert.Nil(t, err)
result, err := rp.getTimeSeries()
assert.Nil(t, err)
assert.Len(t, result.Responses, 1)
queryRes := result.Responses["A"]
assert.NotNil(t, queryRes)
dataframes := queryRes.Frames
assert.NoError(t, err)
assert.Len(t, dataframes, 2)
frame := dataframes[0]
assert.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Top Metrics @value")
v, _ := frame.FloatAt(0, 0)
assert.Equal(t, 1609459200000., v)
v, _ = frame.FloatAt(1, 0)
assert.Equal(t, 1., v)
v, _ = frame.FloatAt(0, 1)
assert.Equal(t, 1609459210000., v)
v, _ = frame.FloatAt(1, 1)
assert.Equal(t, 1., v)
frame = dataframes[1]
l, _ := frame.MarshalJSON()
fmt.Println(string(l))
assert.Len(t, frame.Fields, 2)
require.Equal(t, frame.Fields[0].Len(), 2)
require.Equal(t, frame.Fields[1].Len(), 2)
assert.Equal(t, frame.Fields[1].Config.DisplayNameFromDS, "Top Metrics @anotherValue")
v, _ = frame.FloatAt(0, 0)
assert.Equal(t, 1609459200000., v)
v, _ = frame.FloatAt(1, 0)
assert.Equal(t, 2., v)
v, _ = frame.FloatAt(0, 1)
assert.Equal(t, 1609459210000., v)
v, _ = frame.FloatAt(1, 1)
assert.Equal(t, 2., v)
})
}
func newResponseParserForTest(tsdbQueries map[string]string, responseBody string) (*responseParser, error) {
from := time.Date(2018, 5, 15, 17, 50, 0, 0, time.UTC)
to := time.Date(2018, 5, 15, 17, 55, 0, 0, time.UTC)
timeRange := backend.TimeRange{
From: from,
To: to,
}
tsdbQuery := backend.QueryDataRequest{
Queries: []backend.DataQuery{},
}
for refID, tsdbQueryBody := range tsdbQueries {
tsdbQuery.Queries = append(tsdbQuery.Queries, backend.DataQuery{
TimeRange: timeRange,
RefID: refID,
JSON: json.RawMessage(tsdbQueryBody),
})
}
var response es.MultiSearchResponse
err := json.Unmarshal([]byte(responseBody), &response)
if err != nil {
return nil, err
}
tsQueryParser := newTimeSeriesQueryParser()
queries, err := tsQueryParser.parse(tsdbQuery.Queries)
if err != nil {
return nil, err
}
return newResponseParser(response.Responses, queries, nil), nil
}
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