func TestMovingAverage(t *testing.T) {
fakeAPI := mocks.NewFakeApi()
fakeAPI.AddPair(api.TaggedMetric{"series", api.NewTagSet()}, "series")
fakeBackend := movingAverageBackend{}
timerange, err := api.NewTimerange(1200, 1500, 100)
if err != nil {
t.Fatalf(err.Error())
}
expression := &functionExpression{
functionName: "transform.moving_average",
groupBy: []string{},
arguments: []function.Expression{
&metricFetchExpression{"series", api.TruePredicate},
durationExpression{"300ms", 300 * time.Millisecond},
},
}
result, err := evaluateToSeriesList(expression,
function.EvaluationContext{
API: fakeAPI,
MultiBackend: backend.NewSequentialMultiBackend(fakeBackend),
Timerange: timerange,
SampleMethod: api.SampleMean,
FetchLimit: function.NewFetchCounter(1000),
Registry: registry.Default(),
})
if err != nil {
t.Errorf(err.Error())
}
expected := []float64{4, 3, 11.0 / 3, 5}
if len(result.Series) != 1 {
t.Fatalf("expected exactly 1 returned series")
}
if len(result.Series[0].Values) != len(expected) {
t.Fatalf("expected exactly %d values in returned series", len(expected))
}
const eps = 1e-7
for i := range expected {
if math.Abs(result.Series[0].Values[i]-expected[i]) > eps {
t.Fatalf("expected %+v but got %+v", expected, result.Series[0].Values)
}
}
}
func main() {
flag.Parse()
common.SetupLogger()
config := common.LoadConfig()
apiInstance := common.NewAPI(config.API)
myBackend := blueflood.NewBlueflood(config.Blueflood)
l := liner.NewLiner()
defer l.Close()
for {
input, err := l.Prompt("> ")
if err != nil {
return
}
l.AppendHistory(input)
cmd, err := query.Parse(input)
if err != nil {
fmt.Println("parsing error", err.Error())
continue
}
n, ok := cmd.(query.Node)
if !ok {
fmt.Printf("error: %#v doesn't implement Node\n", cmd)
continue
}
fmt.Println(query.PrintNode(n))
result, err := cmd.Execute(query.ExecutionContext{Backend: backend.NewSequentialMultiBackend(myBackend), API: apiInstance, FetchLimit: 1000})
if err != nil {
fmt.Println("execution error:", err.Error())
continue
}
encoded, err := json.MarshalIndent(result, "", " ")
if err != nil {
fmt.Println("encoding error:", err.Error())
return
}
fmt.Println("success:")
fmt.Println(string(encoded))
}
}
func Test_ScalarExpression(t *testing.T) {
timerangeA, err := api.NewTimerange(0, 10, 2)
if err != nil {
t.Fatalf("invalid timerange used for testcase")
return
}
for _, test := range []struct {
expr scalarExpression
timerange api.Timerange
expectedSeries []api.Timeseries
}{
{
scalarExpression{5},
timerangeA,
[]api.Timeseries{
api.Timeseries{
[]float64{5.0, 5.0, 5.0, 5.0, 5.0, 5.0},
api.NewTagSet(),
},
},
},
} {
a := assert.New(t).Contextf("%+v", test)
result, err := evaluateToSeriesList(test.expr, function.EvaluationContext{
MultiBackend: backend.NewSequentialMultiBackend(FakeBackend{}),
Timerange: test.timerange,
SampleMethod: api.SampleMean,
FetchLimit: function.NewFetchCounter(1000),
Registry: registry.Default(),
})
if err != nil {
t.Fatalf("failed to convert number into serieslist")
}
a.EqInt(len(result.Series), len(test.expectedSeries))
for i := 0; i < len(result.Series); i += 1 {
a.Eq(result.Series[i].Values, test.expectedSeries[i].Values)
}
}
}
func TestProfilerIntegration(t *testing.T) {
myAPI := fakeAPI{
tagSets: map[string][]api.TagSet{"A": []api.TagSet{
{"x": "1", "y": "2"},
{"x": "2", "y": "2"},
{"x": "3", "y": "1"},
},
"B": []api.TagSet{
{"q": "foo"},
{"q": "bar"},
},
"C": []api.TagSet{
{"c": "1"},
{"c": "2"},
{"c": "3"},
{"c": "4"},
{"c": "5"},
{"c": "6"},
},
},
}
myBackend := api.ProfilingBackend{fakeBackend{}}
multiBackend := api.ProfilingMultiBackend{backend.NewSequentialMultiBackend(myBackend)}
testCases := []struct {
query string
expected map[string]int
}{
{
query: "describe all",
expected: map[string]int{
"describe all.Execute": 1,
"api.GetAllMetrics": 1,
},
},
{
query: "select A from 0 to 0",
expected: map[string]int{
"select.Execute": 1,
"fetchMultipleSeries": 1,
"api.GetAllTags": 1,
"fetchSingleSeries": 3,
},
},
{
query: "select A+A from 0 to 0",
expected: map[string]int{
"select.Execute": 1,
"fetchMultipleSeries": 2,
"api.GetAllTags": 2,
"fetchSingleSeries": 6,
},
},
{
query: "select A+2 from 0 to 0",
expected: map[string]int{
"select.Execute": 1,
"fetchMultipleSeries": 1,
"api.GetAllTags": 1,
"fetchSingleSeries": 3,
},
},
{
query: "select A where y = '2' from 0 to 0",
expected: map[string]int{
"select.Execute": 1,
"fetchMultipleSeries": 1,
"api.GetAllTags": 1,
"fetchSingleSeries": 2,
},
},
{
query: "describe A",
expected: map[string]int{
"describe.Execute": 1,
"api.GetAllTags": 1,
},
},
{
query: "describe metrics where y='2'",
expected: map[string]int{
"describe metrics.Execute": 1,
"api.GetMetricsForTag": 1,
},
},
{
query: "describe all",
expected: map[string]int{
"describe all.Execute": 1,
"api.GetAllMetrics": 1,
},
},
}
for _, test := range testCases {
cmd, err := Parse(test.query)
if err != nil {
t.Error(err.Error())
continue
}
profilingCommand, profiler := NewProfilingCommand(cmd)
_, err = profilingCommand.Execute(ExecutionContext{
Backend: multiBackend,
API: myAPI,
FetchLimit: 10000,
Timeout: time.Second * 4,
})
if err != nil {
t.Fatal(err.Error())
}
list := profiler.All()
counts := map[string]int{}
for _, node := range list {
counts[node.Name()]++
}
for name, count := range counts {
if test.expected[name] != count {
t.Errorf("Expected %+v but got %+v (from %+v)", test.expected, counts, list)
break
}
}
}
}
func TestTag(t *testing.T) {
fakeApi := mocks.NewFakeApi()
fakeBackend := backend.NewSequentialMultiBackend(fakeApiBackend{})
tests := []struct {
query string
expected api.SeriesList
}{
{
query: "select series_2 | tag.drop('dc') from 0 to 120",
expected: api.SeriesList{
Series: []api.Timeseries{
{
Values: []float64{1, 2, 3, 4, 5},
TagSet: api.TagSet{},
},
{
Values: []float64{3, 0, 3, 6, 2},
TagSet: api.TagSet{},
},
},
},
},
{
query: "select series_2 | tag.drop('none') from 0 to 120",
expected: api.SeriesList{
Series: []api.Timeseries{
{
Values: []float64{1, 2, 3, 4, 5},
TagSet: api.TagSet{"dc": "west"},
},
{
Values: []float64{3, 0, 3, 6, 2},
TagSet: api.TagSet{"dc": "east"},
},
},
},
},
{
query: "select series_2 | tag.set('dc', 'north') from 0 to 120",
expected: api.SeriesList{
Series: []api.Timeseries{
{
Values: []float64{1, 2, 3, 4, 5},
TagSet: api.TagSet{"dc": "north"},
},
{
Values: []float64{3, 0, 3, 6, 2},
TagSet: api.TagSet{"dc": "north"},
},
},
},
},
{
query: "select series_2 | tag.set('none', 'north') from 0 to 120",
expected: api.SeriesList{
Series: []api.Timeseries{
{
Values: []float64{1, 2, 3, 4, 5},
TagSet: api.TagSet{"dc": "west", "none": "north"},
},
{
Values: []float64{3, 0, 3, 6, 2},
TagSet: api.TagSet{"dc": "east", "none": "north"},
},
},
},
},
}
for _, test := range tests {
command, err := Parse(test.query)
if err != nil {
t.Fatalf("Unexpected error while parsing")
return
}
if command.Name() != "select" {
t.Errorf("Expected select command but got %s", command.Name())
continue
}
rawResult, err := command.Execute(ExecutionContext{Backend: fakeBackend, API: fakeApi, FetchLimit: 1000, Timeout: 0})
if err != nil {
t.Errorf("Unexpected error while execution: %s", err.Error())
continue
}
seriesListList, ok := rawResult.([]api.SeriesList)
if !ok || len(seriesListList) != 1 {
t.Errorf("expected query `%s` to produce []value; got %+v :: %T", test.query, rawResult, rawResult)
continue
}
list := seriesListList[0]
if err != nil {
t.Fatal(err)
}
a := assert.New(t)
expectedSeries := test.expected.Series
for i, series := range list.Series {
a.EqFloatArray(series.Values, expectedSeries[i].Values, 1e-100)
if !series.TagSet.Equals(expectedSeries[i].TagSet) {
t.Errorf("expected tagset %+v but got %+v for series %d of query %s", expectedSeries[i].TagSet, series.TagSet, i, test.query)
}
}
}
}
func TestNaming(t *testing.T) {
fakeApi := mocks.NewFakeApi()
fakeBackend := backend.NewSequentialMultiBackend(fakeApiBackend{})
tests := []struct {
query string
expected string
}{
{
query: "select series_1 from 0 to 0",
expected: "series_1",
},
{
query: "select series_1 + 17 from 0 to 0",
expected: "(series_1 + 17)",
},
{
query: "select series_1 + 2342.32 from 0 to 0",
expected: "(series_1 + 2342.32)",
},
{
query: "select series_1*17 from 0 to 0",
expected: "(series_1 * 17)",
},
{
query: "select aggregate.sum(series_1) from 0 to 0",
expected: "aggregate.sum(series_1)",
},
{
query: "select aggregate.sum(series_1 group by dc) from 0 to 0",
expected: "aggregate.sum(series_1 group by dc)",
},
{
query: "select aggregate.sum(series_1 group by dc,env) from 0 to 0",
expected: "aggregate.sum(series_1 group by dc, env)",
},
{
query: "select aggregate.sum(series_1 collapse by dc) from 0 to 0",
expected: "aggregate.sum(series_1 collapse by dc)",
},
{
query: "select aggregate.sum(series_1 collapse by dc,env) from 0 to 0",
expected: "aggregate.sum(series_1 collapse by dc, env)",
},
{
query: "select transform.alias(aggregate.sum(series_1 group by dc,env), 'hello') from 0 to 0",
expected: "hello",
},
{
query: "select transform.moving_average(series_2, 2h) from 0 to 0",
expected: "transform.moving_average(series_2, 2h)",
},
{
query: "select filter.lowest_max(series_2, 6) from 0 to 0",
expected: "filter.lowest_max(series_2, 6)",
},
}
for _, test := range tests {
command, err := Parse(test.query)
if err != nil {
t.Fatalf("Unexpected error while parsing")
return
}
if command.Name() != "select" {
t.Errorf("Expected select command but got %s", command.Name())
continue
}
rawResult, err := command.Execute(ExecutionContext{Backend: fakeBackend, API: fakeApi, FetchLimit: 1000, Timeout: 0})
if err != nil {
t.Errorf("Unexpected error while execution: %s", err.Error())
continue
}
seriesListList, ok := rawResult.([]api.SeriesList)
if !ok || len(seriesListList) != 1 {
t.Errorf("expected query `%s` to produce []value; got %+v :: %T", test.query, rawResult, rawResult)
continue
}
actual := seriesListList[0].Name
if actual != test.expected {
t.Errorf("Expected `%s` but got `%s` for query `%s`", test.expected, actual, test.query)
continue
}
}
}
func TestCommand_Select(t *testing.T) {
epsilon := 1e-10
fakeApi := mocks.NewFakeApi()
fakeApi.AddPair(api.TaggedMetric{"series_1", api.ParseTagSet("dc=west")}, emptyGraphiteName)
fakeApi.AddPair(api.TaggedMetric{"series_2", api.ParseTagSet("dc=east")}, emptyGraphiteName)
fakeApi.AddPair(api.TaggedMetric{"series_2", api.ParseTagSet("dc=west")}, emptyGraphiteName)
fakeApi.AddPair(api.TaggedMetric{"series_3", api.ParseTagSet("dc=west")}, emptyGraphiteName)
fakeApi.AddPair(api.TaggedMetric{"series_3", api.ParseTagSet("dc=east")}, emptyGraphiteName)
fakeApi.AddPair(api.TaggedMetric{"series_3", api.ParseTagSet("dc=north")}, emptyGraphiteName)
fakeApi.AddPair(api.TaggedMetric{"series_timeout", api.ParseTagSet("dc=west")}, emptyGraphiteName)
var fakeBackend fakeApiBackend
testTimerange, err := api.NewTimerange(0, 120, 30)
if err != nil {
t.Errorf("Invalid test timerange")
return
}
earlyTimerange, err := api.NewTimerange(0, 60, 30)
if err != nil {
t.Errorf("Invalid test timerange")
}
lateTimerange, err := api.NewTimerange(60, 120, 30)
if err != nil {
t.Errorf("Invalid test timerange")
}
for _, test := range []struct {
query string
expectError bool
expected api.SeriesList
}{
{"select does_not_exist from 0 to 120 resolution 30ms", true, api.SeriesList{}},
{"select series_1 from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{1, 2, 3, 4, 5},
api.ParseTagSet("dc=west"),
}},
Timerange: testTimerange,
Name: "series_1",
}},
{"select series_timeout from 0 to 120 resolution 30ms", true, api.SeriesList{}},
{"select series_1 + 1 from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{2, 3, 4, 5, 6},
api.ParseTagSet("dc=west"),
}},
Timerange: testTimerange,
Name: "",
}},
{"select series_1 * 2 from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{2, 4, 6, 8, 10},
api.ParseTagSet("dc=west"),
}},
Timerange: testTimerange,
Name: "",
}},
{"select aggregate.max(series_2) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{3, 2, 3, 6, 5},
api.NewTagSet(),
}},
Timerange: testTimerange,
Name: "series_2",
}},
{"select (1 + series_2) | aggregate.max from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{4, 3, 4, 7, 6},
api.NewTagSet(),
}},
Timerange: testTimerange,
Name: "series_2",
}},
{"select series_1 from 0 to 60 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{1, 2, 3},
api.ParseTagSet("dc=west"),
}},
Timerange: earlyTimerange,
Name: "series_1",
}},
{"select transform.timeshift(series_1,31ms) from 0 to 60 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{2, 3, 4},
api.ParseTagSet("dc=west"),
}},
Timerange: earlyTimerange,
Name: "series_1",
}},
{"select transform.timeshift(series_1,62ms) from 0 to 60 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{3, 4, 5},
api.ParseTagSet("dc=west"),
}},
Timerange: earlyTimerange,
Name: "series_1",
}},
{"select transform.timeshift(series_1,29ms) from 0 to 60 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{2, 3, 4},
api.ParseTagSet("dc=west"),
}},
Timerange: earlyTimerange,
Name: "series_1",
}},
{"select transform.timeshift(series_1,-31ms) from 60 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{2, 3, 4},
api.ParseTagSet("dc=west"),
}},
Timerange: lateTimerange,
Name: "series_1",
}},
{"select transform.timeshift(series_1,-29ms) from 60 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{{
[]float64{2, 3, 4},
api.ParseTagSet("dc=west"),
}},
Timerange: lateTimerange,
Name: "series_1",
}},
{"select series_3 from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
},
}},
{"select series_3 | filter.recent_highest_max(3, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
},
}},
{"select series_3 | filter.recent_highest_max(2, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
},
}},
{"select series_3 | filter.recent_highest_max(1, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(3, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(4, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
},
}},
{"select series_3 | filter.recent_highest_max(70, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(2, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(1, 30ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
},
}},
{"select series_3 | filter.recent_highest_max(3, 3000ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
},
}},
{"select series_3 | filter.recent_highest_max(2, 3000ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
},
}},
{"select series_3 | filter.recent_highest_max(1, 3000ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(3, 3000ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
{
[]float64{5, 5, 5, 2, 2},
api.ParseTagSet("dc=east"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(2, 3000ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
{
[]float64{1, 1, 1, 4, 4},
api.ParseTagSet("dc=west"),
},
},
}},
{"select series_3 | filter.recent_lowest_max(1, 3000ms) from 0 to 120 resolution 30ms", false, api.SeriesList{
Series: []api.Timeseries{
{
[]float64{3, 3, 3, 3, 3},
api.ParseTagSet("dc=north"),
},
},
}},
{"select series_1 from -1000d to now resolution 30s", true, api.SeriesList{}},
} {
a := assert.New(t).Contextf("query=%s", test.query)
expected := test.expected
command, err := Parse(test.query)
if err != nil {
a.Errorf("Unexpected error while parsing")
continue
}
a.EqString(command.Name(), "select")
rawResult, err := command.Execute(ExecutionContext{
Backend: backend.NewSequentialMultiBackend(fakeBackend),
API: fakeApi,
FetchLimit: 1000,
Timeout: 10 * time.Millisecond,
})
if err != nil {
if !test.expectError {
a.Errorf("Unexpected error while executing: %s", err.Error())
}
} else {
casted := rawResult.([]function.Value)
actual, _ := casted[0].ToSeriesList(api.Timerange{})
a.EqInt(len(actual.Series), len(expected.Series))
if len(actual.Series) == len(expected.Series) {
for i := 0; i < len(expected.Series); i++ {
a.Eq(actual.Series[i].TagSet, expected.Series[i].TagSet)
actualLength := len(actual.Series[i].Values)
expectedLength := len(actual.Series[i].Values)
a.Eq(actualLength, expectedLength)
if actualLength == expectedLength {
for j := 0; j < actualLength; j++ {
a.EqFloat(actual.Series[i].Values[j], expected.Series[i].Values[j], epsilon)
}
}
}
}
}
}
// Test that the limit is correct
command, err := Parse("select series_1, series_2 from 0 to 120 resolution 30ms")
if err != nil {
t.Fatalf("Unexpected error while parsing")
return
}
context := ExecutionContext{Backend: backend.NewSequentialMultiBackend(fakeBackend), API: fakeApi, FetchLimit: 3, Timeout: 0}
_, err = command.Execute(context)
if err != nil {
t.Fatalf("expected success with limit 3 but got err = %s", err.Error())
return
}
context.FetchLimit = 2
_, err = command.Execute(context)
if err == nil {
t.Fatalf("expected failure with limit = 2")
return
}
command, err = Parse("select series2 from 0 to 120 resolution 30ms")
if err != nil {
t.Fatalf("Unexpected error while parsing")
return
}
_, err = command.Execute(context)
if err != nil {
t.Fatalf("expected success with limit = 2 but got %s", err.Error())
}
}
func Test_evaluateBinaryOperation(t *testing.T) {
emptyContext := function.EvaluationContext{
MultiBackend: backend.NewSequentialMultiBackend(FakeBackend{}),
API: nil,
Timerange: api.Timerange{},
SampleMethod: api.SampleMean,
Predicate: nil,
FetchLimit: function.NewFetchCounter(1000),
Cancellable: api.NewCancellable(),
}
for _, test := range []struct {
context function.EvaluationContext
functionName string
left api.SeriesList
right api.SeriesList
evalFunction func(float64, float64) float64
expectSuccess bool
expectedResultValues [][]float64
}{
{
emptyContext,
"add",
api.SeriesList{
[]api.Timeseries{
{
Values: []float64{1, 2, 3},
TagSet: api.TagSet{},
},
},
api.Timerange{},
"",
},
api.SeriesList{
[]api.Timeseries{
{
Values: []float64{4, 5, 1},
TagSet: api.TagSet{},
},
},
api.Timerange{},
"",
},
func(left, right float64) float64 { return left + right },
true,
[][]float64{{5, 7, 4}},
},
{
emptyContext,
"subtract",
api.SeriesList{
[]api.Timeseries{
{
Values: []float64{1, 2, 3},
},
},
api.Timerange{},
"",
},
api.SeriesList{
[]api.Timeseries{
{
Values: []float64{4, 5, 1},
},
},
api.Timerange{},
"",
},
func(left, right float64) float64 { return left - right },
true,
[][]float64{{-3, -3, 2}},
},
{
emptyContext,
"add",
api.SeriesList{
[]api.Timeseries{
api.Timeseries{
[]float64{1, 2, 3},
api.TagSet{
"env": "production",
"host": "#1",
},
},
api.Timeseries{
[]float64{7, 7, 7},
api.TagSet{
"env": "staging",
"host": "#2",
},
},
api.Timeseries{
[]float64{1, 0, 2},
api.TagSet{
"env": "staging",
"host": "#3",
},
},
},
api.Timerange{},
"",
},
api.SeriesList{
[]api.Timeseries{
api.Timeseries{
[]float64{5, 5, 5},
api.TagSet{
"env": "staging",
},
},
api.Timeseries{
[]float64{10, 100, 1000},
api.TagSet{
"env": "production",
},
},
},
api.Timerange{},
"",
},
func(left, right float64) float64 { return left + right },
true,
[][]float64{{11, 102, 1003}, {12, 12, 12}, {6, 5, 7}},
},
{
emptyContext,
"add",
api.SeriesList{
[]api.Timeseries{
api.Timeseries{
[]float64{1, 2, 3},
api.TagSet{
"env": "production",
"host": "#1",
},
},
api.Timeseries{
[]float64{4, 5, 6},
api.TagSet{
"env": "staging",
"host": "#2",
},
},
api.Timeseries{
[]float64{7, 8, 9},
api.TagSet{
"env": "staging",
"host": "#3",
},
},
},
api.Timerange{},
"",
},
api.SeriesList{
[]api.Timeseries{
api.Timeseries{
[]float64{2, 2, 2},
api.TagSet{
"env": "staging",
},
},
api.Timeseries{
[]float64{3, 3, 3},
api.TagSet{
"env": "staging",
},
},
},
api.Timerange{},
"",
},
func(left, right float64) float64 { return left * right },
true,
[][]float64{{8, 10, 12}, {14, 16, 18}, {12, 15, 18}, {21, 24, 27}},
},
{
emptyContext,
"add",
api.SeriesList{
[]api.Timeseries{
api.Timeseries{
[]float64{103, 103, 103},
api.TagSet{
"env": "production",
"host": "#1",
},
},
api.Timeseries{
[]float64{203, 203, 203},
api.TagSet{
"env": "staging",
"host": "#2",
},
},
api.Timeseries{
[]float64{303, 303, 303},
api.TagSet{
"env": "staging",
"host": "#3",
},
},
},
api.Timerange{},
"",
},
api.SeriesList{
[]api.Timeseries{
api.Timeseries{
[]float64{1, 2, 3},
api.TagSet{
"env": "staging",
},
},
api.Timeseries{
[]float64{3, 0, 3},
api.TagSet{
"env": "production",
},
},
},
api.Timerange{},
"",
},
func(left, right float64) float64 { return left - right },
true,
[][]float64{{100, 103, 100}, {202, 201, 200}, {302, 301, 300}},
},
} {
a := assert.New(t).Contextf("%+v", test)
metricFun := registry.NewOperator(test.functionName, test.evalFunction)
value, err := metricFun.Evaluate(test.context, []function.Expression{&LiteralSeriesExpression{test.left}, &LiteralSeriesExpression{test.right}}, []string{}, false)
if err != nil {
a.EqBool(err == nil, test.expectSuccess)
continue
}
result, err := value.ToSeriesList(test.context.Timerange)
if err != nil {
a.EqBool(err == nil, test.expectSuccess)
continue
}
// Our expected list should be the same length as the actual one:
a.EqInt(len(result.Series), len(test.expectedResultValues))
// The "expected" results are only true up to permutation (since guessing the order they'll come out of `join()` is hard)
// Provided that they're all unique then we just need to check that every member that's expected can be found
// This is a bit more annoying:
equal := func(left, right []float64) bool {
if len(left) != len(right) {
return false
}
for i := range left {
if left[i] != right[i] {
return false
}
}
return true
}
for _, expectedMember := range test.expectedResultValues {
found := false
// check that expectedMember is inside our result list
// look for it inside result.Series
for _, resultMember := range result.Series {
if equal(resultMember.Values, expectedMember) {
found = true
break
}
}
if !found {
t.Fatalf("got %+v for test %+v", result, test)
}
}
}
}