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* Implement backtesting engine that can process regular rule specification (with queries to datasource) as well as special kind of rules that have data frame instead of query. * declare a new API endpoint and model * add feature toggle `alertingBacktesting`
28 lines
582 B
Go
28 lines
582 B
Go
package backtesting
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import (
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"context"
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"time"
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"github.com/grafana/grafana/pkg/services/ngalert/eval"
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)
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// QueryEvaluator is evaluator of regular alert rule queries
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type queryEvaluator struct {
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eval eval.ConditionEvaluator
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}
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func (d *queryEvaluator) Eval(ctx context.Context, from, to time.Time, interval time.Duration, callback callbackFunc) error {
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for now := from; now.Before(to); now = now.Add(interval) {
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results, err := d.eval.Evaluate(ctx, now)
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if err != nil {
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return err
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}
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err = callback(now, results)
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if err != nil {
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return err
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}
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}
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return nil
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}
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