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0a2ef086b3
* CloudWatch: Convert metrics results to data frames Signed-off-by: Arve Knudsen <arve.knudsen@gmail.com> Co-authored-by: kay delaney <kay@grafana.com>
168 lines
4.5 KiB
Go
168 lines
4.5 KiB
Go
package tsdb
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import (
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"encoding/json"
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"github.com/grafana/grafana-plugin-sdk-go/data"
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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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// TsdbQuery contains all information about a query request.
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type TsdbQuery struct {
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TimeRange *TimeRange
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Queries []*Query
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Headers map[string]string
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Debug bool
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User *models.SignedInUser
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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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QueryType string
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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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Dataframes DataFrames `json:"dataframes"`
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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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// DataFrames is an interface for retrieving encoded and decoded data frames.
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//
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// See NewDecodedDataFrames and NewEncodedDataFrames for more information.
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type DataFrames interface {
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// Encoded encodes Frames into a slice of []byte.
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// If an error occurs [][]byte will be nil.
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// The encoded result, if any, will be cached and returned next time Encoded is called.
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Encoded() ([][]byte, error)
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// Decoded decodes a slice of Arrow encoded frames to data.Frames ([]*data.Frame).
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// If an error occurs Frames will be nil.
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// The decoded result, if any, will be cached and returned next time Decoded is called.
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Decoded() (data.Frames, error)
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}
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type dataFrames struct {
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decoded data.Frames
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encoded [][]byte
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}
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// NewDecodedDataFrames instantiates DataFrames from decoded frames.
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//
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// This should be the primary function for creating DataFrames if you're implementing a plugin.
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// In a Grafana alerting scenario it needs to operate on decoded frames, which is why this function is
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// preferrable. When encoded data frames are needed, e.g. returned from Grafana HTTP API, it will
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// happen automatically when MarshalJSON() is called.
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func NewDecodedDataFrames(decodedFrames data.Frames) DataFrames {
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return &dataFrames{
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decoded: decodedFrames,
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}
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}
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// NewEncodedDataFrames instantiates DataFrames from encoded frames.
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//
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// This one is primarily used for creating DataFrames when receiving encoded data frames from an external
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// plugin or similar. This may allow the encoded data frames to be returned to Grafana UI without any additional
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// decoding/encoding required. In Grafana alerting scenario it needs to operate on decoded data frames why encoded
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// frames needs to be decoded before usage.
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func NewEncodedDataFrames(encodedFrames [][]byte) DataFrames {
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return &dataFrames{
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encoded: encodedFrames,
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}
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}
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func (df *dataFrames) Encoded() ([][]byte, error) {
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if df.encoded == nil {
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encoded, err := df.decoded.MarshalArrow()
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if err != nil {
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return nil, err
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}
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df.encoded = encoded
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}
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return df.encoded, nil
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}
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func (df *dataFrames) Decoded() (data.Frames, error) {
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if df.decoded == nil {
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decoded, err := data.UnmarshalArrowFrames(df.encoded)
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if err != nil {
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return nil, err
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}
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df.decoded = decoded
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}
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return df.decoded, nil
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}
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func (df *dataFrames) MarshalJSON() ([]byte, error) {
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encoded, err := df.Encoded()
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if err != nil {
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return nil, err
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}
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return json.Marshal(encoded)
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}
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