Selects the top 3 candidates by relevance score from a batch of AI-scored results.
package main
import (
"context"
"encoding/json"
"log"
"os"
"time"
"github.com/akennis/sparsi-go/library"
_ "github.com/akennis/dagor/operator/builtin"
"github.com/panjf2000/ants/v2"
"github.com/akennis/dagor"
"github.com/akennis/dagor/graph"
)
func main() {
scores := []float64{72.0, 91.5, 58.0, 85.0, 67.5, 95.0}
library.RegisterConst("scores_val", scores)
g, err := graph.NewBuilder("topk_demo").
Vertex("src").Op("scores_val").Output("Result", "wire_in").
Vertex("tk").Op("SliceTopKOp").
Params(map[string]string{"k": "3"}).
Input("Scores", "wire_in").
Output("Result", "top_indices").
Build()
if err != nil {
log.Fatalf("build: %v", err)
}
pool, err := ants.NewPool(4)
if err != nil {
log.Fatalf("pool: %v", err)
}
defer pool.Release()
eng, err := dagor.NewEngine(g, pool)
if err != nil {
log.Fatalf("engine: %v", err)
}
ctx, cancel := context.WithTimeout(context.Background(), 2*time.Minute)
defer cancel()
if err := eng.Run(ctx); err != nil {
log.Fatalf("run: %v", err)
}
out := map[string]any{"scores": scores, "k": 3}
if raw, ok := eng.GetOutput("top_indices"); ok {
out["top_indices"] = *raw.(*[]int)
}
enc := json.NewEncoder(os.Stdout)
enc.SetIndent("", " ")
enc.Encode(out)
}