mirror of
https://github.com/grafana/grafana.git
synced 2024-12-01 21:19:28 -06:00
343 lines
8.6 KiB
Go
343 lines
8.6 KiB
Go
package eval
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import (
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"fmt"
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"testing"
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"time"
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"github.com/grafana/grafana-plugin-sdk-go/data"
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"github.com/stretchr/testify/require"
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ptr "github.com/xorcare/pointer"
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)
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func TestEvaluateExecutionResult(t *testing.T) {
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cases := []struct {
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desc string
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execResults ExecutionResults
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expectResultLength int
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expectResults Results
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}{
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{
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desc: "zero valued single instance is single Normal state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("", data.NewField("", nil, []*float64{ptr.Float64(0)})),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Normal,
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},
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},
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},
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{
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desc: "non-zero valued single instance is single Alerting state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("", data.NewField("", nil, []*float64{ptr.Float64(1)})),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Alerting,
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},
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},
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},
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{
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desc: "nil value single instance is single a NoData state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("", data.NewField("", nil, []*float64{nil})),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: NoData,
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},
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},
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},
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{
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desc: "an execution error produces a single Error state result",
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execResults: ExecutionResults{
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Error: fmt.Errorf("an execution error"),
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("an execution error"),
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},
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},
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},
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{
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desc: "empty results produces a single NoData state result",
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execResults: ExecutionResults{},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: NoData,
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},
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},
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},
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{
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desc: "frame with no fields produces a NoData state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame(""),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: NoData,
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},
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},
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},
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{
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desc: "empty field produces a NoData state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("", data.NewField("", nil, []*float64{})),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: NoData,
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},
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},
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},
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{
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desc: "empty field with labels produces a NoData state result with labels",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("", data.NewField("", data.Labels{"a": "b"}, []*float64{})),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: NoData,
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Instance: data.Labels{"a": "b"},
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},
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},
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},
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{
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desc: "malformed frame (unequal lengths) produces Error state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []*float64{ptr.Float64(23)}),
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data.NewField("", nil, []*float64{}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : unable to get frame row length: frame has different field lengths, field 0 is len 1 but field 1 is len 0"),
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},
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},
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},
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{
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desc: "too many fields produces Error state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []*float64{}),
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data.NewField("", nil, []*float64{}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : unexpected field length: 2 instead of 1"),
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},
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},
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},
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{
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desc: "more than one row produces Error state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []*float64{ptr.Float64(2), ptr.Float64(3)}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : unexpected row length: 2 instead of 0 or 1"),
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},
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},
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},
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{
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desc: "time fields (looks like time series) returns error",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []time.Time{}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : looks like time series data, only reduced data can be alerted on."),
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},
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},
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},
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{
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desc: "non []*float64 field will produce Error state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []float64{2}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : invalid field type: []float64"),
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},
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},
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},
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{
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desc: "duplicate labels produce a single Error state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []*float64{ptr.Float64(1)}),
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),
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data.NewFrame("",
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data.NewField("", nil, []*float64{ptr.Float64(2)}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : frame cannot uniquely be identified by its labels: has duplicate results with labels {}"),
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},
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},
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},
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{
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desc: "error that produce duplicate empty labels produce a single Error state result",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", data.Labels{"a": "b"}, []float64{2}),
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),
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data.NewFrame("",
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data.NewField("", nil, []float64{2}),
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),
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},
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},
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expectResultLength: 1,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : frame cannot uniquely be identified by its labels: has duplicate results with labels {}"),
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},
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},
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},
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{
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desc: "certain errors will produce multiple mixed Error and other state results",
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execResults: ExecutionResults{
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Results: []*data.Frame{
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data.NewFrame("",
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data.NewField("", nil, []float64{3}),
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),
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data.NewFrame("",
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data.NewField("", data.Labels{"a": "b"}, []*float64{ptr.Float64(2)}),
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),
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},
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},
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expectResultLength: 2,
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expectResults: Results{
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{
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State: Error,
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Error: fmt.Errorf("invalid format of evaluation results for the alert definition : invalid field type: []float64"),
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},
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{
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State: Alerting,
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Instance: data.Labels{"a": "b"},
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},
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},
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},
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}
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for _, tc := range cases {
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t.Run(tc.desc, func(t *testing.T) {
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res := evaluateExecutionResult(tc.execResults, time.Time{})
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require.Equal(t, tc.expectResultLength, len(res))
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for i, r := range res {
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require.Equal(t, tc.expectResults[i].State, r.State)
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require.Equal(t, tc.expectResults[i].Instance, r.Instance)
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if tc.expectResults[i].State == Error {
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require.EqualError(t, tc.expectResults[i].Error, r.Error.Error())
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}
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}
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})
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}
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}
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func TestEvaluateExecutionResultsNoData(t *testing.T) {
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t.Run("no data for Ref ID will produce NoData result", func(t *testing.T) {
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results := ExecutionResults{
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NoData: map[string]string{
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"A": "1",
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},
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}
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v := evaluateExecutionResult(results, time.Time{})
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require.Len(t, v, 1)
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require.Equal(t, data.Labels{"datasource_uid": "1", "ref_id": "A"}, v[0].Instance)
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require.Equal(t, NoData, v[0].State)
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})
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t.Run("no data for Ref IDs will produce NoData result for each Ref ID", func(t *testing.T) {
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results := ExecutionResults{
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NoData: map[string]string{
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"A": "1",
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"B": "1",
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"C": "2",
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},
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}
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v := evaluateExecutionResult(results, time.Time{})
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require.Len(t, v, 2)
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datasourceUIDs := make([]string, 0, len(v))
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refIDs := make([]string, 0, len(v))
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for _, next := range v {
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require.Equal(t, NoData, next.State)
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datasourceUID, ok := next.Instance["datasource_uid"]
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require.True(t, ok)
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require.NotEqual(t, "", datasourceUID)
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datasourceUIDs = append(datasourceUIDs, datasourceUID)
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refID, ok := next.Instance["ref_id"]
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require.True(t, ok)
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require.NotEqual(t, "", refID)
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refIDs = append(refIDs, refID)
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}
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require.ElementsMatch(t, []string{"1", "2"}, datasourceUIDs)
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require.ElementsMatch(t, []string{"A,B", "C"}, refIDs)
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})
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}
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