package npcinteractions import ( "context" "io/fs" "strings" "testing" "time" "gitea.maximumdirect.net/eric/notarius/internal/framework/llm" "gitea.maximumdirect.net/eric/promptkit" ) func TestRegisterPromptAssetsAndPrepareInteractionPrompt(t *testing.T) { registry := llm.NewAssetRegistry() if err := RegisterPromptAssets(registry); err != nil { t.Fatal(err) } schemaFS, err := registry.SchemaFS() if err != nil { t.Fatal(err) } if _, err := fs.ReadFile(schemaFS, "dnd_npc_interactions_llm.v1.json"); err != nil { t.Fatalf("response schema asset: %v", err) } options, err := registry.PromptKitOptions() if err != nil { t.Fatal(err) } options = append(options, promptkit.WithProfiles(promptkit.OpenAICompatibleProfile(promptkit.OpenAICompatibleProfileConfig{ ID: "npc-interactions-test-profile", Endpoint: "http://127.0.0.1:1/v1", Model: "npc-interactions-test-model", }))) engine, err := promptkit.NewEngine(promptkit.Config{Timeout: time.Second}, options...) if err != nil { t.Fatal(err) } transcript := `{"units":[{"sentinel":"interaction-transcript"}]}` prepared, err := engine.Prepare(context.Background(), promptkit.RunRequest{ PromptID: PromptID, PromptVersion: SchemaVersion, ProfileID: "npc-interactions-test-profile", Inputs: map[string]promptkit.ArtifactRef{ "transcript": promptkit.InlineWithURI("file:///session.json", transcript), "players": promptkit.Inline("interaction-player"), "party": promptkit.Inline("Mira: ranger"), "glossary": promptkit.Inline("Greencloak: title"), "npcs": promptkit.Inline(`{"npcs":[{"name":"interaction-npc"}]}`), }, }) if err != nil { t.Fatal(err) } if prepared.PromptID != PromptID || prepared.OutputContract.SchemaPath != "dnd_npc_interactions_llm.v1.json" { t.Fatalf("prepared prompt = %#v", prepared) } if len(prepared.Messages) < 6 { t.Fatalf("prepared messages = %#v, want shared context, NPC grounding, and instructions", prepared.Messages) } referenceIndex := -1 transcriptIndex := -1 npcIndex := -1 for index, message := range prepared.Messages { if strings.Contains(message.Content, "interaction-player") { referenceIndex = index } if strings.Contains(message.Content, "interaction-transcript") { transcriptIndex = index } if strings.Contains(message.Content, "interaction-npc") { npcIndex = index } } instructionsIndex := len(prepared.Messages) - 1 if referenceIndex < 0 || transcriptIndex <= referenceIndex || npcIndex <= transcriptIndex || instructionsIndex <= npcIndex { t.Fatalf("message order = references %d, transcript %d, NPCs %d, instructions %d; want that order", referenceIndex, transcriptIndex, npcIndex, instructionsIndex) } for _, index := range []int{referenceIndex, transcriptIndex, instructionsIndex} { if cache := prepared.Messages[index].CacheControl; cache == nil || cache.Type != promptkit.CacheControlEphemeral { t.Fatalf("message %d cache control = %#v, want ephemeral", index, cache) } } for index, message := range prepared.Messages { if index != referenceIndex && strings.Contains(message.Content, "interaction-player") { t.Errorf("message %d unexpectedly rendered campaign-reference input", index) } if index != transcriptIndex && strings.Contains(message.Content, "interaction-transcript") { t.Errorf("message %d unexpectedly rendered transcript input", index) } if index != npcIndex && strings.Contains(message.Content, "interaction-npc") { t.Errorf("message %d unexpectedly rendered NPC grounding input", index) } } } func TestPromptMetadataDoesNotExposeAssetContent(t *testing.T) { hash, err := promptAssetMetadata() if err != nil || !strings.HasPrefix(hash, "sha256:") { t.Fatalf("promptAssetMetadata() = %q, %v", hash, err) } metadata := newExtractor(t, &fakeInteractionsLLMClient{}).ManifestMetadata() for _, forbidden := range []string{"common-dnd-system", "dnd_npc_interactions_llm.v1.json"} { if strings.Contains(strings.Join(mapValues(metadata), " "), forbidden) { t.Fatalf("metadata leaked prompt or schema content %q: %#v", forbidden, metadata) } } } func mapValues(values map[string]any) []string { out := make([]string, 0, len(values)) for _, value := range values { if text, ok := value.(string); ok { out = append(out, text) } } return out }