Files
glpi-neural-brain/internal/workqueue/limiter_test.go
2026-08-07 17:05:03 +02:00

67 lines
1.6 KiB
Go

package workqueue
import (
"context"
"errors"
"testing"
"time"
)
func TestLimiterBoundsQueue(t *testing.T) {
l := New(1, 1)
release, err := l.Acquire(context.Background())
if err != nil {
t.Fatal(err)
}
defer release()
ctx, cancel := context.WithCancel(context.Background())
defer cancel()
waiterDone := make(chan error, 1)
go func() {
r, err := l.Acquire(ctx)
if err == nil {
r()
}
waiterDone <- err
}()
deadline := time.Now().Add(time.Second)
for l.Status().Waiting != 1 && time.Now().Before(deadline) {
time.Sleep(time.Millisecond)
}
if l.Status().Waiting != 1 {
t.Fatalf("expected one waiter: %+v", l.Status())
}
if _, err := l.Acquire(context.Background()); !errors.Is(err, ErrQueueFull) {
t.Fatalf("expected ErrQueueFull, got %v", err)
}
release()
if err := <-waiterDone; err != nil {
t.Fatalf("waiter failed: %v", err)
}
}
func TestLimiterTracksKindsWithoutDuplicateCounters(t *testing.T) {
l := New(2, 2)
releaseSearch, err := l.AcquireKind(context.Background(), "searxng.search")
if err != nil {
t.Fatal(err)
}
releaseChat, err := l.AcquireKind(context.Background(), "ollama.chat")
if err != nil {
t.Fatal(err)
}
status := l.Status()
if status.Active != 2 || status.Kinds["searxng.search"].Active != 1 || status.Kinds["ollama.chat"].Active != 1 {
t.Fatalf("unexpected typed queue status: %+v", status)
}
releaseSearch()
releaseSearch() // release must be idempotent
releaseChat()
status = l.Status()
if status.Active != 0 || status.Kinds["searxng.search"].Active != 0 || status.Kinds["ollama.chat"].Active != 0 {
t.Fatalf("release duplicated or leaked active counters: %+v", status)
}
}