package npcs

import (
	"context"
	"reflect"
	"strings"
	"testing"
	"time"

	"gitea.maximumdirect.net/eric/notarius/internal/framework/llm"
	"gitea.maximumdirect.net/eric/promptkit"
)

func TestRegisterPromptAssetsPreparesNormalizationPrompt(t *testing.T) {
	if want := []string{"common-dnd-system.md", "common-dnd-transcript.md"}; !reflect.DeepEqual(promptAssetManifest.SharedFiles, want) {
		t.Fatalf("shared prompt assets = %#v, want %#v", promptAssetManifest.SharedFiles, want)
	}
	if promptHash, err := promptAssetMetadata(); err != nil || promptHash == "" {
		t.Fatalf("promptAssetMetadata() = %q, %v; want prompt fingerprint", promptHash, err)
	}
	registry := llm.NewAssetRegistry()
	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: SchemaVersion, ProfileID: "normalize-test-profile",
		Inputs: map[string]promptkit.ArtifactRef{
			"candidates": promptkit.Inline(`{"npcs":[{"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_npcs_normalize_llm.v1.json" {
		t.Fatalf("prepared prompt = %#v, want normalization prompt identity and schema", prepared)
	}
	if len(prepared.Messages) != 5 {
		t.Fatalf("prepared messages = %d, want 5", len(prepared.Messages))
	}
	for index, role := range []string{"system", "user", "user", "user", "user"} {
		if prepared.Messages[index].Role != role {
			t.Errorf("message %d role = %q, want %q", index, prepared.Messages[index].Role, 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)
		}
	}
}