//go:build integration

package face

import (
	"context"
	"os"
	"testing"
	"time"
)

// TestIntegration_DetectFaces tests face detection with real AWS Rekognition
func TestIntegration_DetectFaces(t *testing.T) {
	if os.Getenv("AWS_REGION") == "" {
		t.Skip("AWS_REGION not set, skipping integration test")
	}

	cfg, err := loadAWSConfig()
	if err != nil {
		t.Fatalf("failed to load AWS config: %v", err)
	}

	collectionID := os.Getenv("REKOGNITION_COLLECTION")
	if collectionID == "" {
		collectionID = "hatch-faces-test"
	}

	client := NewRekognitionClient(cfg, collectionID)
	ctx := context.Background()

	// Load test image
	imageBytes, err := loadTestImage("test/fixtures/images/face.jpg")
	if err != nil {
		t.Fatalf("failed to load test image: %v", err)
	}

	// Detect faces
	detections, err := client.DetectFaces(ctx, imageBytes)
	if err != nil {
		t.Fatalf("failed to detect faces: %v", err)
	}

	if len(detections) == 0 {
		t.Error("expected at least one face detection")
	}

	// Verify confidence > 99%
	for _, detection := range detections {
		if detection.Confidence < 99.0 {
			t.Errorf("expected confidence > 99%%, got %f", detection.Confidence)
		}
	}
}

// TestIntegration_IndexFace tests face indexing with real AWS Rekognition
func TestIntegration_IndexFace(t *testing.T) {
	if os.Getenv("AWS_REGION") == "" {
		t.Skip("AWS_REGION not set, skipping integration test")
	}

	cfg, err := loadAWSConfig()
	if err != nil {
		t.Fatalf("failed to load AWS config: %v", err)
	}

	collectionID := os.Getenv("REKOGNITION_COLLECTION")
	if collectionID == "" {
		collectionID = "hatch-faces-test"
	}

	client := NewRekognitionClient(cfg, collectionID)
	ctx := context.Background()

	// Create collection
	if err := client.CreateCollection(ctx, collectionID); err != nil {
		t.Fatalf("failed to create collection: %v", err)
	}
	defer client.DeleteCollection(ctx, collectionID)

	// Load test image
	imageBytes, err := loadTestImage("test/fixtures/images/face.jpg")
	if err != nil {
		t.Fatalf("failed to load test image: %v", err)
	}

	// Index face
	photoID := "test-photo-" + time.Now().Format("20060102150405")
	detection, err := client.IndexFace(ctx, imageBytes, photoID)
	if err != nil {
		t.Fatalf("failed to index face: %v", err)
	}

	if detection == nil {
		t.Error("expected face detection, got nil")
	}

	if detection.Confidence < 99.0 {
		t.Errorf("expected confidence > 99%%, got %f", detection.Confidence)
	}
}

// TestIntegration_SearchFaces tests face search with real AWS Rekognition
func TestIntegration_SearchFaces(t *testing.T) {
	if os.Getenv("AWS_REGION") == "" {
		t.Skip("AWS_REGION not set, skipping integration test")
	}

	cfg, err := loadAWSConfig()
	if err != nil {
		t.Fatalf("failed to load AWS config: %v", err)
	}

	collectionID := os.Getenv("REKOGNITION_COLLECTION")
	if collectionID == "" {
		collectionID = "hatch-faces-test"
	}

	client := NewRekognitionClient(cfg, collectionID)
	ctx := context.Background()

	// Create collection
	if err := client.CreateCollection(ctx, collectionID); err != nil {
		t.Fatalf("failed to create collection: %v", err)
	}
	defer client.DeleteCollection(ctx, collectionID)

	// Load and index test image
	imageBytes, err := loadTestImage("test/fixtures/images/face.jpg")
	if err != nil {
		t.Fatalf("failed to load test image: %v", err)
	}

	photoID := "test-photo-" + time.Now().Format("20060102150405")
	_, err = client.IndexFace(ctx, imageBytes, photoID)
	if err != nil {
		t.Fatalf("failed to index face: %v", err)
	}

	// Search for the indexed face
	matches, err := client.SearchFacesByImage(ctx, imageBytes, 10, 80.0)
	if err != nil {
		t.Fatalf("failed to search faces: %v", err)
	}

	if len(matches) == 0 {
		t.Error("expected at least one match")
	}

	// Verify similarity > 80%
	for _, match := range matches {
		if match.Similarity < 80.0 {
			t.Errorf("expected similarity > 80%%, got %f", match.Similarity)
		}
	}
}

// TestIntegration_EndToEnd tests complete face detection → index → search flow
func TestIntegration_EndToEnd(t *testing.T) {
	if os.Getenv("AWS_REGION") == "" {
		t.Skip("AWS_REGION not set, skipping integration test")
	}

	startTime := time.Now()

	cfg, err := loadAWSConfig()
	if err != nil {
		t.Fatalf("failed to load AWS config: %v", err)
	}

	collectionID := os.Getenv("REKOGNITION_COLLECTION")
	if collectionID == "" {
		collectionID = "hatch-faces-test"
	}

	client := NewRekognitionClient(cfg, collectionID)
	ctx := context.Background()

	// Create collection
	if err := client.CreateCollection(ctx, collectionID); err != nil {
		t.Fatalf("failed to create collection: %v", err)
	}
	defer client.DeleteCollection(ctx, collectionID)

	// Load test image
	imageBytes, err := loadTestImage("test/fixtures/images/face.jpg")
	if err != nil {
		t.Fatalf("failed to load test image: %v", err)
	}

	// Step 1: Detect faces
	detections, err := client.DetectFaces(ctx, imageBytes)
	if err != nil {
		t.Fatalf("failed to detect faces: %v", err)
	}

	if len(detections) == 0 {
		t.Fatal("no faces detected")
	}

	// Step 2: Index face
	photoID := "e2e-test-" + time.Now().Format("20060102150405")
	_, err = client.IndexFace(ctx, imageBytes, photoID)
	if err != nil {
		t.Fatalf("failed to index face: %v", err)
	}

	// Step 3: Search for the indexed face
	matches, err := client.SearchFacesByImage(ctx, imageBytes, 10, 80.0)
	if err != nil {
		t.Fatalf("failed to search faces: %v", err)
	}

	if len(matches) == 0 {
		t.Error("expected at least one match")
	}

	// Verify performance < 5 seconds
	elapsed := time.Since(startTime)
	if elapsed > 5*time.Second {
		t.Errorf("end-to-end latency exceeded 5 seconds: %v", elapsed)
	}

	t.Logf("End-to-end latency: %v", elapsed)
}

// TestIntegration_ErrorHandling tests error handling with invalid inputs
func TestIntegration_ErrorHandling(t *testing.T) {
	if os.Getenv("AWS_REGION") == "" {
		t.Skip("AWS_REGION not set, skipping integration test")
	}

	cfg, err := loadAWSConfig()
	if err != nil {
		t.Fatalf("failed to load AWS config: %v", err)
	}

	collectionID := os.Getenv("REKOGNITION_COLLECTION")
	if collectionID == "" {
		collectionID = "hatch-faces-test"
	}

	client := NewRekognitionClient(cfg, collectionID)
	ctx := context.Background()

	// Test with empty image data
	_, err = client.DetectFaces(ctx, []byte{})
	if err == nil {
		t.Error("expected error for empty image data")
	}

	// Test with invalid image data
	_, err = client.DetectFaces(ctx, []byte("invalid image data"))
	if err == nil {
		t.Error("expected error for invalid image data")
	}
}

// Helper functions

func loadAWSConfig() (aws.Config, error) {
	return config.LoadDefaultConfig(context.Background())
}

func loadTestImage(path string) ([]byte, error) {
	// Try multiple locations
	locations := []string{
		path,
		"test/fixtures/images/face.jpg",
		"testdata/face.jpg",
		"../test/fixtures/images/face.jpg",
	}

	for _, loc := range locations {
		data, err := os.ReadFile(loc)
		if err == nil {
			return data, nil
		}
	}

	return nil, fmt.Errorf("test image not found in any of the expected locations")
}