grafana/pkg/services/ngalert/eval.go
2020-10-13 08:35:41 +02:00

275 lines
7.7 KiB
Go

package eval
import (
"context"
"encoding/json"
"errors"
"fmt"
"github.com/grafana/grafana-plugin-sdk-go/data"
"github.com/grafana/grafana/pkg/bus"
"github.com/grafana/grafana/pkg/components/simplejson"
"github.com/grafana/grafana/pkg/models"
"github.com/grafana/grafana/pkg/plugins"
"github.com/grafana/grafana/pkg/registry"
"github.com/grafana/grafana/pkg/services/datasources"
"github.com/grafana/grafana/pkg/tsdb"
)
type minimalDashboard struct {
Panels []struct {
ID int64 `json:"id"`
Datasource string `json:"datasource"`
Targets []*simplejson.Json `json:"targets"`
} `json:"panels"`
}
type AlertNG struct {
DatasourceCache datasources.CacheService `inject:""`
}
func init() {
registry.RegisterService(&AlertNG{})
}
// Init initializes the AlertingService.
func (e *AlertNG) Init() error {
return nil
}
type AlertExecCtx struct {
AlertDefitionID int64
SignedInUser *models.SignedInUser
Ctx context.Context
}
// At least Warn or Crit condition must be non-empty
type Conditions struct {
Condition string `json:"condition"`
QueriesAndExpressions []tsdb.Query `json:"queriesAndExpressions"`
}
type ExecutionResult struct {
AlertDefinitionId int64
Error error
Results data.Frames
}
type EvalResults []EvalResult
type EvalResult struct {
Instance data.Labels
State State // Enum
}
type State int
const (
Normal State = iota
Warning
Critical
Error
)
func (s State) String() string {
return [...]string{"Normal", "Warning", "Critical", "Error"}[s]
}
// IsValid checks the conditions validity
func (c Conditions) IsValid() bool {
/*
if c.WarnCondition == "" && c.CritCondition == "" {
return false
}
*/
// TODO search for refIDs in QueriesAndExpressions
return len(c.QueriesAndExpressions) != 0
}
// LoadAlertConditions returns a Conditions object for the given alertDefintionId.
func (ng *AlertNG) LoadAlertConditions(dashboardID int64, panelID int64, conditionRefID string, signedInUser *models.SignedInUser, skipCache bool) (*Conditions, error) {
// get queries from the dashboard (because GEL expressions cannot be stored in alerts so far)
getDashboardQuery := models.GetDashboardQuery{Id: dashboardID}
if err := bus.Dispatch(&getDashboardQuery); err != nil {
return nil, err
}
blob, err := getDashboardQuery.Result.Data.MarshalJSON()
if err != nil {
return nil, errors.New("Failed to marshal dashboard JSON")
}
var dash minimalDashboard
err = json.Unmarshal(blob, &dash)
if err != nil {
return nil, errors.New("Failed to unmarshal dashboard JSON")
}
conditions := Conditions{}
for _, p := range dash.Panels {
if p.ID == panelID {
panelDatasource := p.Datasource
var ds *models.DataSource
for i, query := range p.Targets {
refID := query.Get("refId").MustString("A")
queryDatasource := query.Get("datasource").MustString()
if i == 0 && queryDatasource != "__expr__" {
dsName := panelDatasource
if queryDatasource != "" {
dsName = queryDatasource
}
getDataSourceByNameQuery := models.GetDataSourceByNameQuery{Name: dsName, OrgId: getDashboardQuery.Result.OrgId}
if err := bus.Dispatch(&getDataSourceByNameQuery); err != nil {
return nil, err
}
ds, err = ng.DatasourceCache.GetDatasource(getDataSourceByNameQuery.Result.Id, signedInUser, skipCache)
if err != nil {
return nil, err
}
}
if ds == nil {
return nil, errors.New("No datasource reference found")
}
if queryDatasource == "" {
query.Set("datasource", ds.Name)
}
if query.Get("datasourceId").MustString() == "" {
query.Set("datasourceId", ds.Id)
}
if query.Get("orgId").MustString() == "" { // GEL requires orgID inside the query JSON
// need to decide which organisation id is expected there
// in grafana queries is passed the signed in user organisation id:
// https://github.com/grafana/grafana/blob/34a355fe542b511ed02976523aa6716aeb00bde6/packages/grafana-runtime/src/utils/DataSourceWithBackend.ts#L60
// but I think that it should be datasource org id instead
query.Set("orgId", 0)
}
if query.Get("maxDataPoints").MustString() == "" { // GEL requires maxDataPoints inside the query JSON
query.Set("maxDataPoints", 100)
}
// intervalMS is calculated by the frontend
// should we do something similar?
if query.Get("intervalMs").MustString() == "" { // GEL requires intervalMs inside the query JSON
query.Set("intervalMs", 1000)
}
conditions.QueriesAndExpressions = append(conditions.QueriesAndExpressions, tsdb.Query{
RefId: refID,
MaxDataPoints: query.Get("maxDataPoints").MustInt64(100),
IntervalMs: query.Get("intervalMs").MustInt64(1000),
QueryType: query.Get("queryType").MustString(""),
Model: query,
DataSource: ds,
})
}
}
}
conditions.Condition = conditionRefID
return &conditions, nil
}
// Execute runs the WarnCondition and CritCondtion expressions or queries.
func (conditions *Conditions) Execute(ctx AlertExecCtx, fromStr, toStr string) (*ExecutionResult, error) {
result := ExecutionResult{}
if !conditions.IsValid() {
return nil, fmt.Errorf("Invalid conditions")
}
request := &tsdb.TsdbQuery{
TimeRange: tsdb.NewTimeRange(fromStr, toStr),
Debug: true,
User: ctx.SignedInUser,
}
for i := range conditions.QueriesAndExpressions {
request.Queries = append(request.Queries, &conditions.QueriesAndExpressions[i])
}
resp, err := plugins.Transform.Transform(ctx.Ctx, request)
if err != nil {
result.Error = err
return &result, err
}
conditionResult := resp.Results[conditions.Condition]
if conditionResult == nil {
err = fmt.Errorf("No GEL results")
result.Error = err
return &result, err
}
result.Results, err = conditionResult.Dataframes.Decoded()
if err != nil {
result.Error = err
return &result, err
}
return &result, nil
}
// EvaluateExecutionResult takes the ExecutionResult, and returns a frame where
// each column is a string type that holds a string representing its state.
func EvaluateExecutionResult(results *ExecutionResult) (EvalResults, error) {
evalResults := make([]EvalResult, 0)
labels := make(map[string]bool)
for _, f := range results.Results {
rowLen, err := f.RowLen()
if err != nil {
return nil, fmt.Errorf("Unable to get frame row length")
}
if rowLen > 1 {
return nil, fmt.Errorf("Invalid frame %v: row length %v", f.Name, rowLen)
}
if len(f.Fields) > 1 {
return nil, fmt.Errorf("Invalid frame %v: field length %v", f.Name, len(f.Fields))
}
if f.Fields[0].Type() != data.FieldTypeNullableFloat64 {
return nil, fmt.Errorf("Invalid frame %v: field type %v", f.Name, f.Fields[0].Type())
}
labelsStr := f.Fields[0].Labels.String()
_, ok := labels[labelsStr]
if ok {
return nil, fmt.Errorf("Invalid frame %v: frames cannot uniquely be identified by its labels: %q", f.Name, labelsStr)
}
labels[labelsStr] = true
state := Normal
val, err := f.Fields[0].FloatAt(0)
if err != nil || val != 0 {
state = Critical
}
evalResults = append(evalResults, EvalResult{
Instance: f.Fields[0].Labels,
State: state,
})
}
return evalResults, nil
}
// AsDataFrame forms the EvalResults in Frame suitable for displaying in the table panel of the front end.
// This may be temporary, as there might be a fair amount we want to display in the frontend, and it might not make sense to store that in data.Frame.
// For the first pass, I would expect a Frame with a single row, and a column for each instance with a boolean value.
func (evalResults EvalResults) AsDataFrame() data.Frame {
fields := make([]*data.Field, 0)
for _, evalResult := range evalResults {
fields = append(fields, data.NewField("", evalResult.Instance, []bool{evalResult.State != Normal}))
}
f := data.NewFrame("", fields...)
return *f
}