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