Move NPC registry to canonical namespace

internal/modules/dnd/normalize/npcregistry/prompt_assets_test.go

@@ -0,0 +1,76 @@
+package npcregistry
+
+import (
+	"context"
+	"strings"
+	"testing"
+	"time"
+
+	"gitea.maximumdirect.net/eric/notarius/internal/framework/llm"
+	"gitea.maximumdirect.net/eric/notarius/internal/modules/dnd/shared/entityreconcile"
+	"gitea.maximumdirect.net/eric/promptkit"
+)
+
+func TestRegisterPromptAssetsPreparesNormalizationPrompt(t *testing.T) {
+	if promptHash, err := promptAssetMetadata(); err != nil || promptHash == "" {
+		t.Fatalf("promptAssetMetadata() = %q, %v; want prompt fingerprint", promptHash, err)
+	}
+	registry := llm.NewAssetRegistry()
+	if err := entityreconcile.RegisterSchemaAssets(registry); err != nil {
+		t.Fatalf("RegisterSchemaAssets() error = %v", err)
+	}
+	if err := RegisterPromptAssets(registry); err != nil {
+		t.Fatalf("RegisterPromptAssets() error = %v", err)
+	}
+	options, err := registry.PromptKitOptions()
+	if err != nil {
+		t.Fatalf("PromptKitOptions() error = %v", err)
+	}
+	options = append(options, promptkit.WithProfiles(promptkit.OpenAICompatibleProfile(promptkit.OpenAICompatibleProfileConfig{
+		ID: "normalize-test-profile", Endpoint: "http://127.0.0.1:1/v1", Model: "normalize-test-model",
+	})))
+	engine, err := promptkit.NewEngine(promptkit.Config{Timeout: time.Second}, options...)
+	if err != nil {
+		t.Fatalf("NewEngine() error = %v", err)
+	}
+	prepared, err := engine.Prepare(context.Background(), promptkit.RunRequest{
+		PromptID: PromptID, PromptVersion: entityreconcile.SchemaVersion, ProfileID: "normalize-test-profile",
+		Inputs: map[string]promptkit.ArtifactRef{
+			"candidates": promptkit.Inline(`{"candidates":[{"key":"candidate-000001","name":"Mira","source_refs":[]}]}`),
+			"transcript": promptkit.Inline(`{"windows":[{"units":[]}]}`),
+		},
+	})
+	if err != nil {
+		t.Fatalf("Prepare() error = %v", err)
+	}
+	if prepared.PromptID != PromptID || prepared.OutputContract.SchemaPath != "dnd_entity_reconcile_llm.v1.json" {
+		t.Fatalf("prepared prompt = %#v, want normalization prompt identity and schema", prepared)
+	}
+	if prepared.Messages[0].Role != "system" {
+		t.Fatalf("initial message role = %q, want system", prepared.Messages[0].Role)
+	}
+	for _, index := range []int{2, 4} {
+		if cache := prepared.Messages[index].CacheControl; cache == nil || cache.Type != promptkit.CacheControlEphemeral {
+			t.Errorf("message %d cache control = %#v, want ephemeral", index, cache)
+		}
+	}
+	for _, index := range []int{0, 1, 3} {
+		if cache := prepared.Messages[index].CacheControl; cache != nil {
+			t.Errorf("message %d cache control = %#v, want nil", index, cache)
+		}
+	}
+	if !strings.Contains(prepared.Messages[3].Content, `"Mira"`) || strings.Contains(prepared.Messages[3].Content, `"windows"`) {
+		t.Fatalf("candidate message = %q, want only rendered candidates", prepared.Messages[3].Content)
+	}
+	if !strings.Contains(prepared.Messages[4].Content, `"windows"`) || strings.Contains(prepared.Messages[4].Content, `"Mira"`) {
+		t.Fatalf("transcript message = %q, want only rendered transcript", prepared.Messages[4].Content)
+	}
+	for index, message := range prepared.Messages {
+		if index != 3 && strings.Contains(message.Content, `"Mira"`) {
+			t.Errorf("message %d unexpectedly rendered candidate input", index)
+		}
+		if index != 4 && strings.Contains(message.Content, `"windows"`) {
+			t.Errorf("message %d unexpectedly rendered transcript input", index)
+		}
+	}
+}