2020-11-19 06:17:00 -06:00
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package expr
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import (
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"context"
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"encoding/json"
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"fmt"
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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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2022-05-23 09:08:14 -05:00
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2021-03-02 12:51:33 -06:00
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"github.com/grafana/grafana/pkg/expr/classic"
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2020-11-19 06:17:00 -06:00
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"github.com/grafana/grafana/pkg/expr/mathexp"
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2021-05-07 08:16:21 -05:00
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"github.com/grafana/grafana/pkg/infra/log"
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2021-12-16 10:51:46 -06:00
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"github.com/grafana/grafana/pkg/plugins/adapters"
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2022-06-27 11:23:15 -05:00
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"github.com/grafana/grafana/pkg/services/datasources"
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2020-11-19 06:17:00 -06:00
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"gonum.org/v1/gonum/graph/simple"
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)
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2021-05-07 08:16:21 -05:00
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var (
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logger = log.New("expr")
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)
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2021-11-16 07:42:22 -06:00
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type QueryError struct {
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RefID string
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Err error
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}
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func (e QueryError) Error() string {
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return fmt.Sprintf("failed to execute query %s: %s", e.RefID, e.Err)
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}
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2021-11-17 04:07:24 -06:00
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func (e QueryError) Unwrap() error {
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return e.Err
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}
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2021-08-27 07:57:41 -05:00
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// baseNode includes common properties used across DPNodes.
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2020-11-19 06:17:00 -06:00
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type baseNode struct {
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id int64
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refID string
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}
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type rawNode struct {
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RefID string `json:"refId"`
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Query map[string]interface{}
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QueryType string
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TimeRange TimeRange
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DataSource *datasources.DataSource
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2020-11-19 06:17:00 -06:00
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}
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func (rn *rawNode) GetCommandType() (c CommandType, err error) {
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rawType, ok := rn.Query["type"]
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if !ok {
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return c, fmt.Errorf("no expression command type in query for refId %v", rn.RefID)
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}
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typeString, ok := rawType.(string)
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if !ok {
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return c, fmt.Errorf("expected expression command type to be a string, got type %T", rawType)
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}
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return ParseCommandType(typeString)
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}
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// String returns a string representation of the node. In particular for
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2021-06-09 18:59:44 -05:00
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// %v formatting in error messages.
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2020-11-19 06:17:00 -06:00
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func (b *baseNode) String() string {
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return b.refID
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}
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// CMDNode is a DPNode that holds an expression command.
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type CMDNode struct {
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baseNode
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CMDType CommandType
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Command Command
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}
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// ID returns the id of the node so it can fulfill the gonum's graph Node interface.
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func (b *baseNode) ID() int64 {
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return b.id
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}
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// RefID returns the refId of the node.
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func (b *baseNode) RefID() string {
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return b.refID
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}
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// NodeType returns the data pipeline node type.
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func (gn *CMDNode) NodeType() NodeType {
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return TypeCMDNode
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}
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// Execute runs the node and adds the results to vars. If the node requires
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// other nodes they must have already been executed and their results must
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// already by in vars.
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func (gn *CMDNode) Execute(ctx context.Context, now time.Time, vars mathexp.Vars, _ *Service) (mathexp.Results, error) {
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return gn.Command.Execute(ctx, now, vars)
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2020-11-19 06:17:00 -06:00
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}
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func buildCMDNode(dp *simple.DirectedGraph, rn *rawNode) (*CMDNode, error) {
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commandType, err := rn.GetCommandType()
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if err != nil {
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return nil, fmt.Errorf("invalid command type in expression '%v': %w", rn.RefID, err)
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2020-11-19 06:17:00 -06:00
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}
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node := &CMDNode{
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baseNode: baseNode{
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id: dp.NewNode().ID(),
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refID: rn.RefID,
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},
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CMDType: commandType,
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}
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switch commandType {
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case TypeMath:
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node.Command, err = UnmarshalMathCommand(rn)
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case TypeReduce:
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node.Command, err = UnmarshalReduceCommand(rn)
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case TypeResample:
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node.Command, err = UnmarshalResampleCommand(rn)
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case TypeClassicConditions:
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node.Command, err = classic.UnmarshalConditionsCmd(rn.Query, rn.RefID)
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case TypeThreshold:
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node.Command, err = UnmarshalThresholdCommand(rn)
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default:
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return nil, fmt.Errorf("expression command type '%v' in expression '%v' not implemented", commandType, rn.RefID)
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2020-11-19 06:17:00 -06:00
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}
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if err != nil {
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return nil, fmt.Errorf("failed to parse expression '%v': %w", rn.RefID, err)
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2020-11-19 06:17:00 -06:00
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}
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return node, nil
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}
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const (
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defaultIntervalMS = int64(64)
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defaultMaxDP = int64(5000)
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)
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// DSNode is a DPNode that holds a datasource request.
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type DSNode struct {
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baseNode
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query json.RawMessage
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datasource *datasources.DataSource
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orgID int64
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queryType string
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timeRange TimeRange
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intervalMS int64
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maxDP int64
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request Request
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2020-11-19 06:17:00 -06:00
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}
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// NodeType returns the data pipeline node type.
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func (dn *DSNode) NodeType() NodeType {
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return TypeDatasourceNode
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}
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2021-07-09 06:43:22 -05:00
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func (s *Service) buildDSNode(dp *simple.DirectedGraph, rn *rawNode, req *Request) (*DSNode, error) {
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if rn.TimeRange == nil {
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return nil, fmt.Errorf("time range must be specified for refID %s", rn.RefID)
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}
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2020-11-19 06:17:00 -06:00
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encodedQuery, err := json.Marshal(rn.Query)
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if err != nil {
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return nil, err
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}
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dsNode := &DSNode{
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baseNode: baseNode{
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id: dp.NewNode().ID(),
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refID: rn.RefID,
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},
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orgID: req.OrgId,
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query: json.RawMessage(encodedQuery),
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queryType: rn.QueryType,
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intervalMS: defaultIntervalMS,
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maxDP: defaultMaxDP,
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timeRange: rn.TimeRange,
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request: *req,
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datasource: rn.DataSource,
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}
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var floatIntervalMS float64
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2021-08-10 02:59:48 -05:00
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if rawIntervalMS, ok := rn.Query["intervalMs"]; ok {
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2020-11-19 06:17:00 -06:00
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if floatIntervalMS, ok = rawIntervalMS.(float64); !ok {
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return nil, fmt.Errorf("expected intervalMs to be an float64, got type %T for refId %v", rawIntervalMS, rn.RefID)
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}
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dsNode.intervalMS = int64(floatIntervalMS)
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}
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var floatMaxDP float64
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if rawMaxDP, ok := rn.Query["maxDataPoints"]; ok {
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2020-11-19 06:17:00 -06:00
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if floatMaxDP, ok = rawMaxDP.(float64); !ok {
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return nil, fmt.Errorf("expected maxDataPoints to be an float64, got type %T for refId %v", rawMaxDP, rn.RefID)
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}
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dsNode.maxDP = int64(floatMaxDP)
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}
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return dsNode, nil
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}
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// Execute runs the node and adds the results to vars. If the node requires
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// other nodes they must have already been executed and their results must
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// already by in vars.
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2022-10-26 15:13:58 -05:00
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func (dn *DSNode) Execute(ctx context.Context, now time.Time, _ mathexp.Vars, s *Service) (mathexp.Results, error) {
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2022-10-26 18:16:02 -05:00
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logger := logger.FromContext(ctx).New("datasourceType", dn.datasource.Type)
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2021-12-16 10:51:46 -06:00
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dsInstanceSettings, err := adapters.ModelToInstanceSettings(dn.datasource, s.decryptSecureJsonDataFn(ctx))
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if err != nil {
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2022-06-03 02:24:24 -05:00
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return mathexp.Results{}, fmt.Errorf("%v: %w", "failed to convert datasource instance settings", err)
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2021-12-16 10:51:46 -06:00
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}
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2020-11-19 06:17:00 -06:00
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pc := backend.PluginContext{
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OrgID: dn.orgID,
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DataSourceInstanceSettings: dsInstanceSettings,
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PluginID: dn.datasource.Type,
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2020-11-19 06:17:00 -06:00
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}
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q := []backend.DataQuery{
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{
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RefID: dn.refID,
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MaxDataPoints: dn.maxDP,
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Interval: time.Duration(int64(time.Millisecond) * dn.intervalMS),
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JSON: dn.query,
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TimeRange: dn.timeRange.AbsoluteTime(now),
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QueryType: dn.queryType,
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2020-11-19 06:17:00 -06:00
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},
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}
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2021-12-16 10:51:46 -06:00
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resp, err := s.dataService.QueryData(ctx, &backend.QueryDataRequest{
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2020-11-19 06:17:00 -06:00
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PluginContext: pc,
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Queries: q,
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2021-07-09 06:43:22 -05:00
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Headers: dn.request.Headers,
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2020-11-19 06:17:00 -06:00
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})
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if err != nil {
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return mathexp.Results{}, err
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}
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vals := make([]mathexp.Value, 0)
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for refID, qr := range resp.Responses {
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if qr.Error != nil {
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return mathexp.Results{}, QueryError{RefID: refID, Err: qr.Error}
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}
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2022-05-23 09:08:14 -05:00
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dataSource := dn.datasource.Type
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if isAllFrameVectors(dataSource, qr.Frames) { // Prometheus Specific Handling
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2022-05-23 09:08:14 -05:00
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vals, err = framesToNumbers(qr.Frames)
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if err != nil {
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return mathexp.Results{}, fmt.Errorf("failed to read frames as numbers: %w", err)
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}
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return mathexp.Results{Values: vals}, nil
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}
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2020-11-19 06:17:00 -06:00
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if len(qr.Frames) == 1 {
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frame := qr.Frames[0]
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2022-07-14 08:18:12 -05:00
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// Handle Untyped NoData
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if len(frame.Fields) == 0 {
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return mathexp.Results{Values: mathexp.Values{mathexp.NoData{Frame: frame}}}, nil
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}
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// Handle Numeric Table
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2020-11-19 06:17:00 -06:00
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if frame.TimeSeriesSchema().Type == data.TimeSeriesTypeNot && isNumberTable(frame) {
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2021-05-07 08:16:21 -05:00
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logger.Debug("expression datasource query (numberSet)", "query", refID)
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2020-11-19 06:17:00 -06:00
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numberSet, err := extractNumberSet(frame)
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if err != nil {
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return mathexp.Results{}, err
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}
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for _, n := range numberSet {
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vals = append(vals, n)
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}
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return mathexp.Results{
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Values: vals,
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}, nil
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}
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}
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for _, frame := range qr.Frames {
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2021-05-07 08:16:21 -05:00
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logger.Debug("expression datasource query (seriesSet)", "query", refID)
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2022-01-27 07:53:27 -06:00
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// Check for TimeSeriesTypeNot in InfluxDB queries. A data frame of this type will cause
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// the WideToMany() function to error out, which results in unhealthy alerts.
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// This check should be removed once inconsistencies in data source responses are solved.
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if frame.TimeSeriesSchema().Type == data.TimeSeriesTypeNot && dataSource == datasources.DS_INFLUXDB {
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logger.Warn("ignoring InfluxDB data frame due to missing numeric fields", "frame", frame)
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continue
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}
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2020-11-19 06:17:00 -06:00
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series, err := WideToMany(frame)
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if err != nil {
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return mathexp.Results{}, err
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}
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for _, s := range series {
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vals = append(vals, s)
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}
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}
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}
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return mathexp.Results{
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Values: vals,
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}, nil
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}
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func isAllFrameVectors(datasourceType string, frames data.Frames) bool {
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if datasourceType != "prometheus" {
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return false
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}
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allVector := false
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for i, frame := range frames {
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if frame.Meta != nil && frame.Meta.Custom != nil {
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if sMap, ok := frame.Meta.Custom.(map[string]string); ok {
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if sMap != nil {
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if sMap["resultType"] == "vector" {
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if i != 0 && !allVector {
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break
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}
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allVector = true
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}
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}
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}
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}
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}
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return allVector
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}
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func framesToNumbers(frames data.Frames) ([]mathexp.Value, error) {
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|
|
vals := make([]mathexp.Value, 0, len(frames))
|
|
|
|
for _, frame := range frames {
|
|
|
|
if frame == nil {
|
|
|
|
continue
|
|
|
|
}
|
|
|
|
if len(frame.Fields) == 2 && frame.Fields[0].Len() == 1 {
|
|
|
|
// Can there be zero Len Field results that are being skipped?
|
|
|
|
valueField := frame.Fields[1]
|
|
|
|
if valueField.Type().Numeric() { // should be []float64
|
|
|
|
val, err := valueField.FloatAt(0) // FloatAt should not err if numeric
|
|
|
|
if err != nil {
|
|
|
|
return nil, fmt.Errorf("failed to read value of frame [%v] (RefID %v) of type [%v] as float: %w", frame.Name, frame.RefID, valueField.Type(), err)
|
|
|
|
}
|
|
|
|
n := mathexp.NewNumber(frame.Name, valueField.Labels)
|
|
|
|
n.SetValue(&val)
|
|
|
|
vals = append(vals, n)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return vals, nil
|
|
|
|
}
|
|
|
|
|
2020-11-19 06:17:00 -06:00
|
|
|
func isNumberTable(frame *data.Frame) bool {
|
|
|
|
if frame == nil || frame.Fields == nil {
|
|
|
|
return false
|
|
|
|
}
|
|
|
|
numericCount := 0
|
|
|
|
stringCount := 0
|
|
|
|
otherCount := 0
|
|
|
|
for _, field := range frame.Fields {
|
|
|
|
fType := field.Type()
|
|
|
|
switch {
|
|
|
|
case fType.Numeric():
|
|
|
|
numericCount++
|
|
|
|
case fType == data.FieldTypeString || fType == data.FieldTypeNullableString:
|
|
|
|
stringCount++
|
|
|
|
default:
|
|
|
|
otherCount++
|
|
|
|
}
|
|
|
|
}
|
|
|
|
return numericCount == 1 && otherCount == 0
|
|
|
|
}
|
|
|
|
|
|
|
|
func extractNumberSet(frame *data.Frame) ([]mathexp.Number, error) {
|
|
|
|
numericField := 0
|
|
|
|
stringFieldIdxs := []int{}
|
|
|
|
stringFieldNames := []string{}
|
|
|
|
for i, field := range frame.Fields {
|
|
|
|
fType := field.Type()
|
|
|
|
switch {
|
|
|
|
case fType.Numeric():
|
|
|
|
numericField = i
|
|
|
|
case fType == data.FieldTypeString || fType == data.FieldTypeNullableString:
|
|
|
|
stringFieldIdxs = append(stringFieldIdxs, i)
|
|
|
|
stringFieldNames = append(stringFieldNames, field.Name)
|
|
|
|
}
|
|
|
|
}
|
|
|
|
numbers := make([]mathexp.Number, frame.Rows())
|
|
|
|
|
|
|
|
for rowIdx := 0; rowIdx < frame.Rows(); rowIdx++ {
|
|
|
|
val, _ := frame.FloatAt(numericField, rowIdx)
|
|
|
|
var labels data.Labels
|
|
|
|
for i := 0; i < len(stringFieldIdxs); i++ {
|
|
|
|
if i == 0 {
|
|
|
|
labels = make(data.Labels)
|
|
|
|
}
|
|
|
|
key := stringFieldNames[i] // TODO check for duplicate string column names
|
|
|
|
val, _ := frame.ConcreteAt(stringFieldIdxs[i], rowIdx)
|
|
|
|
labels[key] = val.(string) // TODO check assertion / return error
|
|
|
|
}
|
|
|
|
|
|
|
|
n := mathexp.NewNumber("", labels)
|
2022-03-10 09:03:26 -06:00
|
|
|
|
|
|
|
// The new value fields' configs gets pointed to the one in the original frame
|
|
|
|
n.Frame.Fields[0].Config = frame.Fields[numericField].Config
|
2020-11-19 06:17:00 -06:00
|
|
|
n.SetValue(&val)
|
2022-03-10 09:03:26 -06:00
|
|
|
|
2020-11-19 06:17:00 -06:00
|
|
|
numbers[rowIdx] = n
|
|
|
|
}
|
|
|
|
return numbers, nil
|
|
|
|
}
|
|
|
|
|
|
|
|
// WideToMany converts a data package wide type Frame to one or multiple Series. A series
|
|
|
|
// is created for each value type column of wide frame.
|
|
|
|
//
|
|
|
|
// This might not be a good idea long term, but works now as an adapter/shim.
|
|
|
|
func WideToMany(frame *data.Frame) ([]mathexp.Series, error) {
|
|
|
|
tsSchema := frame.TimeSeriesSchema()
|
|
|
|
if tsSchema.Type != data.TimeSeriesTypeWide {
|
|
|
|
return nil, fmt.Errorf("input data must be a wide series but got type %s (input refid)", tsSchema.Type)
|
|
|
|
}
|
|
|
|
|
|
|
|
if len(tsSchema.ValueIndices) == 1 {
|
|
|
|
s, err := mathexp.SeriesFromFrame(frame)
|
|
|
|
if err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
return []mathexp.Series{s}, nil
|
|
|
|
}
|
|
|
|
|
|
|
|
series := []mathexp.Series{}
|
|
|
|
for _, valIdx := range tsSchema.ValueIndices {
|
|
|
|
l := frame.Rows()
|
|
|
|
f := data.NewFrameOfFieldTypes(frame.Name, l, frame.Fields[tsSchema.TimeIndex].Type(), frame.Fields[valIdx].Type())
|
|
|
|
f.Fields[0].Name = frame.Fields[tsSchema.TimeIndex].Name
|
|
|
|
f.Fields[1].Name = frame.Fields[valIdx].Name
|
2022-03-10 09:03:26 -06:00
|
|
|
|
|
|
|
// The new value fields' configs gets pointed to the one in the original frame
|
|
|
|
f.Fields[1].Config = frame.Fields[valIdx].Config
|
|
|
|
|
2020-11-19 06:17:00 -06:00
|
|
|
if frame.Fields[valIdx].Labels != nil {
|
|
|
|
f.Fields[1].Labels = frame.Fields[valIdx].Labels.Copy()
|
|
|
|
}
|
|
|
|
for i := 0; i < l; i++ {
|
|
|
|
f.SetRow(i, frame.Fields[tsSchema.TimeIndex].CopyAt(i), frame.Fields[valIdx].CopyAt(i))
|
|
|
|
}
|
|
|
|
s, err := mathexp.SeriesFromFrame(f)
|
|
|
|
if err != nil {
|
|
|
|
return nil, err
|
|
|
|
}
|
|
|
|
series = append(series, s)
|
|
|
|
}
|
|
|
|
|
|
|
|
return series, nil
|
|
|
|
}
|