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grafana/pkg/tsdb/testdata/scenarios.go

237 lines
6.4 KiB

package testdata
import (
"encoding/json"
"math/rand"
"strconv"
"strings"
"time"
"github.com/grafana/grafana/pkg/components/null"
"github.com/grafana/grafana/pkg/log"
"github.com/grafana/grafana/pkg/tsdb"
)
type ScenarioHandler func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult
type Scenario struct {
Id string `json:"id"`
Name string `json:"name"`
StringInput string `json:"stringOption"`
Description string `json:"description"`
Handler ScenarioHandler `json:"-"`
}
var ScenarioRegistry map[string]*Scenario
func init() {
ScenarioRegistry = make(map[string]*Scenario)
logger := log.New("tsdb.testdata")
logger.Debug("Initializing TestData Scenario")
registerScenario(&Scenario{
Id: "exponential_heatmap_bucket_data",
Name: "Exponential heatmap bucket data",
Handler: func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult {
to := context.TimeRange.GetToAsMsEpoch()
var series []*tsdb.TimeSeries
start := 1
factor := 2
for i := 0; i < 10; i++ {
timeWalkerMs := context.TimeRange.GetFromAsMsEpoch()
serie := &tsdb.TimeSeries{Name: strconv.Itoa(start)}
start *= factor
points := make(tsdb.TimeSeriesPoints, 0)
for j := int64(0); j < 100 && timeWalkerMs < to; j++ {
v := float64(rand.Int63n(100))
points = append(points, tsdb.NewTimePoint(null.FloatFrom(v), float64(timeWalkerMs)))
timeWalkerMs += query.IntervalMs * 50
}
serie.Points = points
series = append(series, serie)
}
queryRes := tsdb.NewQueryResult()
queryRes.Series = append(queryRes.Series, series...)
return queryRes
},
})
registerScenario(&Scenario{
Id: "linear_heatmap_bucket_data",
Name: "Linear heatmap bucket data",
Handler: func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult {
to := context.TimeRange.GetToAsMsEpoch()
var series []*tsdb.TimeSeries
for i := 0; i < 10; i++ {
timeWalkerMs := context.TimeRange.GetFromAsMsEpoch()
serie := &tsdb.TimeSeries{Name: strconv.Itoa(i * 10)}
points := make(tsdb.TimeSeriesPoints, 0)
for j := int64(0); j < 100 && timeWalkerMs < to; j++ {
v := float64(rand.Int63n(100))
points = append(points, tsdb.NewTimePoint(null.FloatFrom(v), float64(timeWalkerMs)))
timeWalkerMs += query.IntervalMs * 50
}
serie.Points = points
series = append(series, serie)
}
queryRes := tsdb.NewQueryResult()
queryRes.Series = append(queryRes.Series, series...)
return queryRes
},
})
registerScenario(&Scenario{
Id: "random_walk",
Name: "Random Walk",
Handler: func(query *tsdb.Query, tsdbQuery *tsdb.TsdbQuery) *tsdb.QueryResult {
timeWalkerMs := tsdbQuery.TimeRange.GetFromAsMsEpoch()
to := tsdbQuery.TimeRange.GetToAsMsEpoch()
series := newSeriesForQuery(query)
points := make(tsdb.TimeSeriesPoints, 0)
walker := rand.Float64() * 100
for i := int64(0); i < 10000 && timeWalkerMs < to; i++ {
points = append(points, tsdb.NewTimePoint(null.FloatFrom(walker), float64(timeWalkerMs)))
walker += rand.Float64() - 0.5
timeWalkerMs += query.IntervalMs
}
series.Points = points
queryRes := tsdb.NewQueryResult()
queryRes.Series = append(queryRes.Series, series)
return queryRes
},
})
registerScenario(&Scenario{
Id: "no_data_points",
Name: "No Data Points",
Handler: func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult {
return tsdb.NewQueryResult()
},
})
registerScenario(&Scenario{
Id: "datapoints_outside_range",
Name: "Datapoints Outside Range",
Handler: func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult {
queryRes := tsdb.NewQueryResult()
series := newSeriesForQuery(query)
outsideTime := context.TimeRange.MustGetFrom().Add(-1*time.Hour).Unix() * 1000
series.Points = append(series.Points, tsdb.NewTimePoint(null.FloatFrom(10), float64(outsideTime)))
queryRes.Series = append(queryRes.Series, series)
return queryRes
},
})
registerScenario(&Scenario{
Id: "manual_entry",
Name: "Manual Entry",
Handler: func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult {
queryRes := tsdb.NewQueryResult()
points := query.Model.Get("points").MustArray()
series := newSeriesForQuery(query)
startTime := context.TimeRange.GetFromAsMsEpoch()
endTime := context.TimeRange.GetToAsMsEpoch()
for _, val := range points {
pointValues := val.([]interface{})
var value null.Float
var time int64
if valueFloat, err := strconv.ParseFloat(string(pointValues[0].(json.Number)), 64); err == nil {
value = null.FloatFrom(valueFloat)
}
if timeInt, err := strconv.ParseInt(string(pointValues[1].(json.Number)), 10, 64); err != nil {
continue
} else {
time = timeInt
}
if time >= startTime && time <= endTime {
series.Points = append(series.Points, tsdb.NewTimePoint(value, float64(time)))
}
}
queryRes.Series = append(queryRes.Series, series)
return queryRes
},
})
registerScenario(&Scenario{
Id: "csv_metric_values",
Name: "CSV Metric Values",
StringInput: "1,20,90,30,5,0",
Handler: func(query *tsdb.Query, context *tsdb.TsdbQuery) *tsdb.QueryResult {
queryRes := tsdb.NewQueryResult()
stringInput := query.Model.Get("stringInput").MustString()
stringInput = strings.Replace(stringInput, " ", "", -1)
values := []null.Float{}
for _, strVal := range strings.Split(stringInput, ",") {
if strVal == "null" {
values = append(values, null.FloatFromPtr(nil))
}
if val, err := strconv.ParseFloat(strVal, 64); err == nil {
values = append(values, null.FloatFrom(val))
}
}
if len(values) == 0 {
return queryRes
}
series := newSeriesForQuery(query)
startTime := context.TimeRange.GetFromAsMsEpoch()
endTime := context.TimeRange.GetToAsMsEpoch()
step := (endTime - startTime) / int64(len(values)-1)
for _, val := range values {
series.Points = append(series.Points, tsdb.TimePoint{val, null.FloatFrom(float64(startTime))})
startTime += step
}
queryRes.Series = append(queryRes.Series, series)
return queryRes
},
})
}
func registerScenario(scenario *Scenario) {
ScenarioRegistry[scenario.Id] = scenario
}
func newSeriesForQuery(query *tsdb.Query) *tsdb.TimeSeries {
alias := query.Model.Get("alias").MustString("")
if alias == "" {
alias = query.RefId + "-series"
}
return &tsdb.TimeSeries{Name: alias}
}