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