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https://github.com/grafana/grafana.git
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5713048f48
* tsdb: add support for setting debug flag of tsdb query * alerting: adds debug flag in eval context Debug flag is set when testing an alert rule and this debug flag is used to return more debug information in test aler rule response. This debug flag is also provided to tsdb queries so datasources can optionally add support for returning additional debug data * alerting: improve test alert rule ui Adds buttons for expand/collapse json and copy json to clipboard, very similar to how the query inspector works. * elasticsearch: implement support for tsdb query debug flag * elasticsearch: embedding client response in struct * alerting: return proper query model when testing rule
83 lines
1.9 KiB
Go
83 lines
1.9 KiB
Go
package tsdb
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import (
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"github.com/grafana/grafana/pkg/components/null"
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"github.com/grafana/grafana/pkg/components/simplejson"
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"github.com/grafana/grafana/pkg/models"
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)
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type TsdbQuery struct {
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TimeRange *TimeRange
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Queries []*Query
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Debug bool
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}
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type Query struct {
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RefId string
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Model *simplejson.Json
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DataSource *models.DataSource
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MaxDataPoints int64
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IntervalMs int64
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}
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type Response struct {
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Results map[string]*QueryResult `json:"results"`
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Message string `json:"message,omitempty"`
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}
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type QueryResult struct {
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Error error `json:"-"`
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ErrorString string `json:"error,omitempty"`
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RefId string `json:"refId"`
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Meta *simplejson.Json `json:"meta,omitempty"`
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Series TimeSeriesSlice `json:"series"`
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Tables []*Table `json:"tables"`
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}
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type TimeSeries struct {
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Name string `json:"name"`
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Points TimeSeriesPoints `json:"points"`
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Tags map[string]string `json:"tags,omitempty"`
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}
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type Table struct {
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Columns []TableColumn `json:"columns"`
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Rows []RowValues `json:"rows"`
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}
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type TableColumn struct {
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Text string `json:"text"`
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}
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type RowValues []interface{}
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type TimePoint [2]null.Float
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type TimeSeriesPoints []TimePoint
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type TimeSeriesSlice []*TimeSeries
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func NewQueryResult() *QueryResult {
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return &QueryResult{
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Series: make(TimeSeriesSlice, 0),
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}
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}
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func NewTimePoint(value null.Float, timestamp float64) TimePoint {
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return TimePoint{value, null.FloatFrom(timestamp)}
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}
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func NewTimeSeriesPointsFromArgs(values ...float64) TimeSeriesPoints {
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points := make(TimeSeriesPoints, 0)
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for i := 0; i < len(values); i += 2 {
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points = append(points, NewTimePoint(null.FloatFrom(values[i]), values[i+1]))
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}
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return points
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}
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func NewTimeSeries(name string, points TimeSeriesPoints) *TimeSeries {
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return &TimeSeries{
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Name: name,
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Points: points,
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}
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}
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