mirror of
https://github.com/grafana/grafana.git
synced 2024-11-29 12:14:08 -06:00
355 lines
9.3 KiB
Go
355 lines
9.3 KiB
Go
package plugins
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import (
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"context"
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"encoding/base64"
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"encoding/json"
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"fmt"
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"strconv"
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"time"
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"github.com/grafana/grafana-plugin-sdk-go/backend"
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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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"github.com/timberio/go-datemath"
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)
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// DataSubQuery represents a data sub-query. New work should use the plugin SDK.
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type DataSubQuery struct {
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RefID string `json:"refId"`
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Model *simplejson.Json `json:"model,omitempty"`
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DataSource *models.DataSource `json:"datasource"`
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MaxDataPoints int64 `json:"maxDataPoints"`
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IntervalMS int64 `json:"intervalMs"`
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QueryType string `json:"queryType"`
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}
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// DataQuery contains all information about a data query request. New work should use the plugin SDK.
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type DataQuery struct {
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TimeRange *DataTimeRange
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Queries []DataSubQuery
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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 DataTimeRange struct {
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From string
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To string
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Now time.Time
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}
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type DataTable struct {
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Columns []DataTableColumn `json:"columns"`
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Rows []DataRowValues `json:"rows"`
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}
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type DataTableColumn struct {
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Text string `json:"text"`
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}
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type DataTimePoint [2]null.Float
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type DataTimeSeriesPoints []DataTimePoint
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type DataTimeSeriesSlice []DataTimeSeries
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type DataRowValues []interface{}
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// Deprecated: DataQueryResult should use backend.QueryDataResponse
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type DataQueryResult 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 DataTimeSeriesSlice `json:"series"`
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Tables []DataTable `json:"tables"`
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Dataframes DataFrames `json:"dataframes"`
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}
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// UnmarshalJSON deserializes a DataQueryResult from JSON.
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//
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// Deserialization support is required by tests.
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func (r *DataQueryResult) UnmarshalJSON(b []byte) error {
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m := map[string]interface{}{}
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if err := json.Unmarshal(b, &m); err != nil {
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return err
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}
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refID, ok := m["refId"].(string)
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if !ok {
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return fmt.Errorf("can't decode field refId - not a string")
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}
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var meta *simplejson.Json
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if m["meta"] != nil {
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mm, ok := m["meta"].(map[string]interface{})
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if !ok {
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return fmt.Errorf("can't decode field meta - not a JSON object")
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}
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meta = simplejson.NewFromAny(mm)
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}
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var series DataTimeSeriesSlice
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/* TODO
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if m["series"] != nil {
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}
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*/
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var tables []DataTable
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if m["tables"] != nil {
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ts, ok := m["tables"].([]interface{})
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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for _, ti := range ts {
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tm, ok := ti.(map[string]interface{})
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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var columns []DataTableColumn
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cs, ok := tm["columns"].([]interface{})
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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for _, ci := range cs {
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cm, ok := ci.(map[string]interface{})
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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val, ok := cm["text"].(string)
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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columns = append(columns, DataTableColumn{Text: val})
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}
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rs, ok := tm["rows"].([]interface{})
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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var rows []DataRowValues
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for _, ri := range rs {
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vals, ok := ri.([]interface{})
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if !ok {
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return fmt.Errorf("can't decode field tables - not an array of Tables")
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}
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rows = append(rows, vals)
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}
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tables = append(tables, DataTable{
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Columns: columns,
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Rows: rows,
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})
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}
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}
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var dfs *dataFrames
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if m["dataframes"] != nil {
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raw, ok := m["dataframes"].([]interface{})
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if !ok {
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return fmt.Errorf("can't decode field dataframes - not an array of byte arrays")
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}
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var encoded [][]byte
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for _, ra := range raw {
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encS, ok := ra.(string)
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if !ok {
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return fmt.Errorf("can't decode field dataframes - not an array of byte arrays")
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}
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enc, err := base64.StdEncoding.DecodeString(encS)
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if err != nil {
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return fmt.Errorf("can't decode field dataframes - not an array of arrow frames")
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}
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encoded = append(encoded, enc)
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}
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decoded, err := data.UnmarshalArrowFrames(encoded)
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if err != nil {
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return err
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}
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dfs = &dataFrames{
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decoded: decoded,
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encoded: encoded,
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}
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}
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r.RefID = refID
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r.Meta = meta
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r.Series = series
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r.Tables = tables
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if dfs != nil {
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r.Dataframes = dfs
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}
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return nil
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}
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// DataTimeSeries -- this structure is deprecated, all new work should use DataFrames from the SDK
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type DataTimeSeries struct {
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Name string `json:"name"`
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Points DataTimeSeriesPoints `json:"points"`
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Tags map[string]string `json:"tags,omitempty"`
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}
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// Deprecated: DataResponse -- this structure is deprecated, all new work should use backend.QueryDataResponse
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type DataResponse struct {
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Results map[string]DataQueryResult `json:"results"`
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Message string `json:"message,omitempty"`
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}
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// ToBackendDataResponse converts the legacy format to the standard SDK format
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func (r DataResponse) ToBackendDataResponse() (*backend.QueryDataResponse, error) {
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qdr := &backend.QueryDataResponse{
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Responses: make(map[string]backend.DataResponse, len(r.Results)),
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}
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// Convert tsdb results (map) to plugin-model/datasource (slice) results.
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// Only error, Series, and encoded Dataframes responses are mapped.
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for refID, res := range r.Results {
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pRes := backend.DataResponse{}
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if res.Error != nil {
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pRes.Error = res.Error
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}
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if res.Dataframes != nil {
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decoded, err := res.Dataframes.Decoded()
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if err != nil {
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return qdr, err
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}
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pRes.Frames = decoded
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qdr.Responses[refID] = pRes
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continue
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}
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for _, series := range res.Series {
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frame, err := SeriesToFrame(series)
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if err != nil {
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return nil, err
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}
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frame.RefID = refID
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pRes.Frames = append(pRes.Frames, frame)
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}
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qdr.Responses[refID] = pRes
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}
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return qdr, nil
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}
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// Deprecated: use the plugin SDK
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type DataPlugin interface {
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DataQuery(ctx context.Context, ds *models.DataSource, query DataQuery) (DataResponse, error)
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}
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func NewDataTimeRange(from, to string) DataTimeRange {
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return DataTimeRange{
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From: from,
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To: to,
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Now: time.Now(),
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}
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}
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func (tr *DataTimeRange) GetFromAsMsEpoch() int64 {
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return tr.MustGetFrom().UnixNano() / int64(time.Millisecond)
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}
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func (tr *DataTimeRange) GetFromAsSecondsEpoch() int64 {
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return tr.GetFromAsMsEpoch() / 1000
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}
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func (tr *DataTimeRange) GetFromAsTimeUTC() time.Time {
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return tr.MustGetFrom().UTC()
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}
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func (tr *DataTimeRange) GetToAsMsEpoch() int64 {
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return tr.MustGetTo().UnixNano() / int64(time.Millisecond)
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}
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func (tr *DataTimeRange) GetToAsSecondsEpoch() int64 {
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return tr.GetToAsMsEpoch() / 1000
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}
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func (tr *DataTimeRange) GetToAsTimeUTC() time.Time {
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return tr.MustGetTo().UTC()
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}
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func (tr *DataTimeRange) MustGetFrom() time.Time {
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res, err := tr.ParseFrom()
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if err != nil {
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return time.Unix(0, 0)
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}
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return res
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}
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func (tr *DataTimeRange) MustGetTo() time.Time {
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res, err := tr.ParseTo()
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if err != nil {
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return time.Unix(0, 0)
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}
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return res
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}
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func (tr DataTimeRange) ParseFrom() (time.Time, error) {
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return parseTimeRange(tr.From, tr.Now, false, nil)
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}
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func (tr DataTimeRange) ParseTo() (time.Time, error) {
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return parseTimeRange(tr.To, tr.Now, true, nil)
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}
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func (tr DataTimeRange) ParseFromWithLocation(location *time.Location) (time.Time, error) {
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return parseTimeRange(tr.From, tr.Now, false, location)
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}
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func (tr DataTimeRange) ParseToWithLocation(location *time.Location) (time.Time, error) {
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return parseTimeRange(tr.To, tr.Now, true, location)
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}
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func parseTimeRange(s string, now time.Time, withRoundUp bool, location *time.Location) (time.Time, error) {
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if val, err := strconv.ParseInt(s, 10, 64); err == nil {
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seconds := val / 1000
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nano := (val - seconds*1000) * 1000000
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return time.Unix(seconds, nano), nil
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}
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diff, err := time.ParseDuration("-" + s)
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if err != nil {
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options := []func(*datemath.Options){
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datemath.WithNow(now),
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datemath.WithRoundUp(withRoundUp),
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}
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if location != nil {
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options = append(options, datemath.WithLocation(location))
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}
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return datemath.ParseAndEvaluate(s, options...)
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}
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return now.Add(diff), nil
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}
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// SeriesToFrame converts a DataTimeSeries to an SDK frame.
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func SeriesToFrame(series DataTimeSeries) (*data.Frame, error) {
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timeVec := make([]*time.Time, len(series.Points))
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floatVec := make([]*float64, len(series.Points))
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for idx, point := range series.Points {
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timeVec[idx], floatVec[idx] = convertDataTimePoint(point)
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}
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frame := data.NewFrame(series.Name,
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data.NewField("time", nil, timeVec),
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data.NewField("value", data.Labels(series.Tags), floatVec),
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)
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return frame, nil
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}
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// convertDataTimePoint converts a DataTimePoint into two values appropriate
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// for Series values.
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func convertDataTimePoint(point DataTimePoint) (t *time.Time, f *float64) {
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timeIdx, valueIdx := 1, 0
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if point[timeIdx].Valid { // Assuming valid is null?
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tI := int64(point[timeIdx].Float64)
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uT := time.Unix(tI/int64(1e+3), (tI%int64(1e+3))*int64(1e+6)) // time.Time from millisecond unix ts
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t = &uT
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}
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if point[valueIdx].Valid {
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f = &point[valueIdx].Float64
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}
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return
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}
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