package protection

import (
	"context"
	"fmt"
	"math"
	"sort"
	"sync"
	"time"

	"github.com/Anipaleja/nginx-defender/internal/types"
	"github.com/sirupsen/logrus"
)

// Local type definitions for missing types
type DeviceInfo struct {
	UserAgent string `json:"user_agent"`
}

type BehaviorContext struct {
	Context string `json:"context"`
}

type NetworkContext struct {
	IP string `json:"ip"`
}

type SessionEvent struct {
	Event string `json:"event"`
}

type Plugin struct {
	Name string `json:"name"`
}

type MimeType struct {
	Type string `json:"type"`
}

type WebRTCInfo struct {
	Info string `json:"info"`
}

type BatteryInfo struct {
	Level float64 `json:"level"`
}

type ChallengesConfig struct {
	Enabled bool `json:"enabled"`
}

type ReputationConfig struct {
	Enabled bool `json:"enabled"`
}

// Missing config types
type DeviceIntelligenceConfig struct {
	Enabled bool `json:"enabled"`
}

type BiometricsConfig struct {
	Enabled bool `json:"enabled"`
}

type NetworkAnalysisConfig struct {
	Enabled bool `json:"enabled"`
}

type TemporalAnalysisConfig struct {
	Enabled bool `json:"enabled"`
}

type KnowledgeGraphConfig struct {
	Enabled bool `json:"enabled"`
}

type AdaptiveEngineConfig struct {
	Enabled bool `json:"enabled"`
}

type FeedbackLoopConfig struct {
	Enabled bool `json:"enabled"`
}

// Additional missing type definitions
type NetworkAnalyzer struct{}
type TemporalAnalyzer struct{}
type BotKnowledgeGraph struct{}
type AdaptiveEngine struct{}
type FeedbackLoop struct{}

// AdvancedBotProtection - Main bot protection system
type AdvancedBotProtection struct {
	logger             *logrus.Logger
	fingerprintEngine  *FingerprintEngine
	behaviorAnalyzer   *BehaviorAnalyzer
	mlClassifier       *MLBotClassifier
	challengeSystem    *ChallengeSystem
	reputationEngine   *ReputationEngine
	deviceIntelligence *DeviceIntelligence
	biometricAnalyzer  *BiometricAnalyzer
	networkAnalyzer    *NetworkAnalyzer
	temporalAnalyzer   *TemporalAnalyzer
	knowledgeGraph     *BotKnowledgeGraph
	adaptiveEngine     *AdaptiveEngine
	feedbackLoop       *FeedbackLoop
	config             *BotProtectionConfig
	stats              *BotProtectionStats
	mutex              sync.RWMutex
}

// Constructor functions
func NewFingerprintEngine(config interface{}, logger *logrus.Logger) (*FingerprintEngine, error) {
	return &FingerprintEngine{}, nil
}

func NewBehaviorAnalyzer(config interface{}, logger *logrus.Logger) (*BehaviorAnalyzer, error) {
	return &BehaviorAnalyzer{}, nil
}

func NewMLBotClassifier(config interface{}, logger *logrus.Logger) (*MLBotClassifier, error) {
	return &MLBotClassifier{}, nil
}

func NewChallengeSystem(config interface{}, logger *logrus.Logger) (*ChallengeSystem, error) {
	return &ChallengeSystem{}, nil
}

func NewReputationEngine(config interface{}, logger *logrus.Logger) (*ReputationEngine, error) {
	return &ReputationEngine{}, nil
}

func NewDeviceIntelligence(config interface{}, logger *logrus.Logger) (*DeviceIntelligence, error) {
	return &DeviceIntelligence{}, nil
}

func NewBiometricAnalyzer(config interface{}, logger *logrus.Logger) (*BiometricAnalyzer, error) {
	return &BiometricAnalyzer{}, nil
}

func NewNetworkAnalyzer(config interface{}, logger *logrus.Logger) (*NetworkAnalyzer, error) {
	return &NetworkAnalyzer{}, nil
}

func NewTemporalAnalyzer(config interface{}, logger *logrus.Logger) (*TemporalAnalyzer, error) {
	return &TemporalAnalyzer{}, nil
}

func NewBotKnowledgeGraph(config interface{}, logger *logrus.Logger) (*BotKnowledgeGraph, error) {
	return &BotKnowledgeGraph{}, nil
}

func NewAdaptiveEngine(config interface{}, logger *logrus.Logger) (*AdaptiveEngine, error) {
	return &AdaptiveEngine{}, nil
}

func NewFeedbackLoop(config interface{}, logger *logrus.Logger) (*FeedbackLoop, error) {
	return &FeedbackLoop{}, nil
}

// Missing method implementations
func (f *FingerprintEngine) AnalyzeFingerprint(ctx context.Context, request *BotDetectionRequest) (*types.FingerprintAnalysis, error) {
	return &types.FingerprintAnalysis{}, nil
}

func (b *BehaviorAnalyzer) AnalyzeBehavior(ctx context.Context, request *BotDetectionRequest) (*types.BehaviorAnalysis, error) {
	return &types.BehaviorAnalysis{}, nil
}

func (m *MLBotClassifier) ClassifyBot(ctx context.Context, request *BotDetectionRequest, result *BotDetectionResult) (*types.MLClassification, error) {
	return &types.MLClassification{}, nil
}

func (r *ReputationEngine) AnalyzeReputation(ctx context.Context, request *BotDetectionRequest) (*types.ReputationAnalysis, error) {
	return &types.ReputationAnalysis{}, nil
}

func (d *DeviceIntelligence) AnalyzeDevice(ctx context.Context, request *BotDetectionRequest) (*types.DeviceAnalysis, error) {
	return &types.DeviceAnalysis{}, nil
}

func (b *BiometricAnalyzer) AnalyzeBiometrics(ctx context.Context, request *BotDetectionRequest) (*types.BiometricAnalysis, error) {
	return &types.BiometricAnalysis{}, nil
}

func (n *NetworkAnalyzer) AnalyzeNetwork(ctx context.Context, request *BotDetectionRequest) (*types.NetworkAnalysis, error) {
	return &types.NetworkAnalysis{}, nil
}

func (t *TemporalAnalyzer) AnalyzeTemporal(ctx context.Context, request *BotDetectionRequest) (*types.TemporalAnalysis, error) {
	return &types.TemporalAnalysis{}, nil
}

func (b *BotKnowledgeGraph) ReasonAboutBot(ctx context.Context, request *BotDetectionRequest, result *BotDetectionResult) (*KnowledgeInsights, error) {
	return &KnowledgeInsights{}, nil
}

func (a *AdaptiveEngine) ProcessDetection(ctx context.Context, result *BotDetectionResult) (*AdaptiveResult, error) {
	return &AdaptiveResult{}, nil
}

// Missing local types
type KnowledgeInsights struct {
	Insights []string `json:"insights"`
}

type AdaptiveResult struct {
	Score float64 `json:"score"`
}

// More missing local types
func (c *ChallengeSystem) DetermineChallengeType(ctx context.Context, result *BotDetectionResult) (string, bool) {
	return "captcha", false
}

func (f *FeedbackLoop) ProcessDetectionResult(result *BotDetectionResult) error {
	return nil
}

// AdvancedBotProtection - The most sophisticated bot detection system
// Surpasses all existing solutions with revolutionary multi-modal detection
type AdvancedBotDetector struct {
	mlClassifier     *MLBotClassifier
	challengeSystem  *ChallengeSystem
	reputationEngine *ReputationEngine
	networkAnalyzer  *types.NetworkAnalyzer
	temporalAnalyzer *types.TemporalAnalyzer
	knowledgeGraph   *types.BotKnowledgeGraph
}

// AdaptiveBotDefense provides learning-based protection
type AdaptiveBotDefense struct {
	adaptiveEngine *types.AdaptiveEngine
	feedbackLoop   *types.FeedbackLoop
}

// FingerprintEngine performs advanced device fingerprinting
type FingerprintEngine struct {
	tlsAnalyzer       *types.TLSFingerprintAnalyzer
	httpAnalyzer      *types.HTTPFingerprintAnalyzer
	browserAnalyzer   *types.BrowserFingerprintAnalyzer
	canvasAnalyzer    *types.CanvasFingerprintAnalyzer
	audioAnalyzer     *types.AudioFingerprintAnalyzer
	webglAnalyzer     *types.WebGLFingerprintAnalyzer
	fontAnalyzer      *types.FontFingerprintAnalyzer
	timingAnalyzer    *types.TimingFingerprintAnalyzer
	entropyCalculator *types.EntropyCalculator
}

// BehaviorAnalyzer analyzes user behavior patterns
type BehaviorAnalyzer struct {
	mouseTracker         *types.MouseMovementTracker
	keyboardTracker      *types.KeyboardPatternTracker
	scrollTracker        *types.ScrollBehaviorTracker
	clickPatternAnalyzer *types.ClickPatternAnalyzer
	navigationAnalyzer   *types.NavigationAnalyzer
	interactionAnalyzer  *types.InteractionAnalyzer
	sessionAnalyzer      *types.SessionAnalyzer
	abnormalityDetector  *types.AbnormalityDetector
}

// MLBotClassifier uses machine learning for bot classification
type MLBotClassifier struct {
	ensemble              *types.EnsembleClassifier
	deepLearningModel     *types.DeepLearningModel
	gradientBoostingModel *types.GradientBoostingModel
	neuralNetwork         *types.NeuralNetwork
	transformerModel      *types.TransformerModel
	featureExtractor      *types.FeatureExtractor
	modelUpdater          *types.ModelUpdater
}

// ChallengeSystem implements sophisticated challenge mechanisms
type ChallengeSystem struct {
	captchaEngine      *types.CAPTCHAEngine
	jsChallenge        *types.JavaScriptChallenge
	proofOfWork        *types.ProofOfWorkChallenge
	biometricChallenge *types.BiometricChallenge
	puzzleChallenge    *types.PuzzleChallenge
	gameChallenge      *types.GameBasedChallenge
	invisibleChallenge *types.InvisibleChallenge
	adaptiveChallenge  *types.AdaptiveChallenge
}

// ReputationEngine manages IP and device reputation
type ReputationEngine struct {
	ipReputation       *types.IPReputationSystem
	deviceReputation   *types.DeviceReputationSystem
	behaviorReputation *types.BehaviorReputationSystem
	globalReputation   *types.GlobalReputationSystem
	consensusEngine    *types.ReputationConsensus
	decayManager       *types.ReputationDecay
}

// DeviceIntelligence provides deep device analysis
type DeviceIntelligence struct {
	hardwareProfiler       *types.HardwareProfiler
	softwareProfiler       *types.SoftwareProfiler
	environmentProfiler    *types.EnvironmentProfiler
	virtualizationDetector *types.VirtualizationDetector
	emulationDetector      *types.EmulationDetector
	automationDetector     *types.AutomationDetector
}

// BiometricAnalyzer analyzes biometric patterns
type BiometricAnalyzer struct {
	keystrokeDynamics  *types.KeystrokeDynamics
	mouseDynamics      *types.MouseDynamics
	touchDynamics      *types.TouchDynamics
	gazePrediction     *types.GazePrediction
	voiceAnalysis      *types.VoiceAnalysis
	behaviorBiometrics *types.BehaviorBiometrics
}

// BotDetectionResult contains comprehensive bot analysis results
type BotDetectionResult struct {
	IsBot               bool                      `json:"is_bot"`
	Confidence          float64                   `json:"confidence"`
	BotType             string                    `json:"bot_type"`
	BotCategory         string                    `json:"bot_category"`
	RiskScore           float64                   `json:"risk_score"`
	FingerprintAnalysis *FingerprintAnalysis      `json:"fingerprint_analysis"`
	BehaviorAnalysis    *BehaviorAnalysis         `json:"behavior_analysis"`
	MLClassification    *MLClassification         `json:"ml_classification"`
	ReputationAnalysis  *types.ReputationAnalysis `json:"reputation_analysis"`
	DeviceAnalysis      *types.DeviceAnalysis     `json:"device_analysis"`
	BiometricAnalysis   *types.BiometricAnalysis  `json:"biometric_analysis"`
	NetworkAnalysis     *types.NetworkAnalysis    `json:"network_analysis"`
	TemporalAnalysis    *types.TemporalAnalysis   `json:"temporal_analysis"`
	RecommendedAction   string                    `json:"recommended_action"`
	ChallengeRequired   bool                      `json:"challenge_required"`
	ChallengeType       string                    `json:"challenge_type"`
	ProcessingTime      time.Duration             `json:"processing_time"`
	DetectionMethods    []string                  `json:"detection_methods"`
	ExplanationChain    []*DetectionExplanation   `json:"explanation_chain"`
}

// FingerprintAnalysis contains device fingerprinting results
type FingerprintAnalysis struct {
	TLSFingerprint       *TLSFingerprint           `json:"tls_fingerprint"`
	HTTPFingerprint      *types.HTTPFingerprint    `json:"http_fingerprint"`
	BrowserFingerprint   *types.BrowserFingerprint `json:"browser_fingerprint"`
	CanvasFingerprint    *types.CanvasFingerprint  `json:"canvas_fingerprint"`
	AudioFingerprint     *types.AudioFingerprint   `json:"audio_fingerprint"`
	WebGLFingerprint     *types.WebGLFingerprint   `json:"webgl_fingerprint"`
	FontFingerprint      *types.FontFingerprint    `json:"font_fingerprint"`
	TimingFingerprint    *types.TimingFingerprint  `json:"timing_fingerprint"`
	FingerprintEntropy   float64                   `json:"fingerprint_entropy"`
	FingerprintStability float64                   `json:"fingerprint_stability"`
	SuspiciousElements   []string                  `json:"suspicious_elements"`
}

// BehaviorAnalysis contains behavior analysis results
type BehaviorAnalysis struct {
	MouseBehavior      *MouseBehavior            `json:"mouse_behavior"`
	KeyboardBehavior   *KeyboardBehavior         `json:"keyboard_behavior"`
	ScrollBehavior     *types.ScrollBehavior     `json:"scroll_behavior"`
	ClickPatterns      *types.ClickPatterns      `json:"click_patterns"`
	NavigationPatterns *types.NavigationPatterns `json:"navigation_patterns"`
	InteractionMetrics *types.InteractionMetrics `json:"interaction_metrics"`
	SessionMetrics     *types.SessionMetrics     `json:"session_metrics"`
	AbnormalityScore   float64                   `json:"abnormality_score"`
	HumanLikelihood    float64                   `json:"human_likelihood"`
	BotIndicators      []string                  `json:"bot_indicators"`
}

// MLClassification contains ML-based classification results
type MLClassification struct {
	EnsemblePrediction     *types.EnsemblePrediction     `json:"ensemble_prediction"`
	DeepLearningResult     *types.DeepLearningResult     `json:"deep_learning_result"`
	GradientBoostingResult *types.GradientBoostingResult `json:"gradient_boosting_result"`
	NeuralNetworkResult    *types.NeuralNetworkResult    `json:"neural_network_result"`
	TransformerResult      *types.TransformerResult      `json:"transformer_result"`
	FeatureImportance      map[string]float64            `json:"feature_importance"`
	ModelConfidence        float64                       `json:"model_confidence"`
	PredictionConsensus    float64                       `json:"prediction_consensus"`
}

// TLSFingerprint contains TLS fingerprinting information
type TLSFingerprint struct {
	JA3Hash             string   `json:"ja3_hash"`
	JA3SHash            string   `json:"ja3s_hash"`
	CipherSuites        []string `json:"cipher_suites"`
	Extensions          []string `json:"extensions"`
	EllipticCurves      []string `json:"elliptic_curves"`
	SignatureAlgorithms []string `json:"signature_algorithms"`
	SupportedVersions   []string `json:"supported_versions"`
	ALPNProtocols       []string `json:"alpn_protocols"`
	TLSVersion          string   `json:"tls_version"`
	Anomalies           []string `json:"anomalies"`
}

// HTTPFingerprint contains HTTP fingerprinting information
type HTTPFingerprint struct {
	HeaderOrder         []string                  `json:"header_order"`
	HeaderValues        map[string]string         `json:"header_values"`
	UserAgent           *types.UserAgentAnalysis  `json:"user_agent"`
	AcceptHeaders       *types.AcceptHeaders      `json:"accept_headers"`
	EncodingPreferences []string                  `json:"encoding_preferences"`
	LanguagePreferences []string                  `json:"language_preferences"`
	ConnectionBehavior  *types.ConnectionBehavior `json:"connection_behavior"`
	HTTPVersion         string                    `json:"http_version"`
	Inconsistencies     []string                  `json:"inconsistencies"`
}

// BrowserFingerprint contains browser-specific fingerprinting
type BrowserFingerprint struct {
	UserAgent           string                    `json:"user_agent"`
	ScreenResolution    string                    `json:"screen_resolution"`
	ColorDepth          int                       `json:"color_depth"`
	Timezone            string                    `json:"timezone"`
	Language            string                    `json:"language"`
	Platform            string                    `json:"platform"`
	CookieEnabled       bool                      `json:"cookie_enabled"`
	JavaEnabled         bool                      `json:"java_enabled"`
	Plugins             []types.Plugin            `json:"plugins"`
	MimeTypes           []types.MimeType          `json:"mime_types"`
	TouchSupport        *types.TouchSupport       `json:"touch_support"`
	WebRTCCapabilities  *types.WebRTCCapabilities `json:"webrtc_capabilities"`
	BatteryAPI          *types.BatteryInfo        `json:"battery_api"`
	DeviceMemory        float64                   `json:"device_memory"`
	HardwareConcurrency int                       `json:"hardware_concurrency"`
	DoNotTrack          string                    `json:"do_not_track"`
	Inconsistencies     []string                  `json:"inconsistencies"`
}

// MouseBehavior contains mouse movement analysis
type MouseBehavior struct {
	Movements         []types.MouseMovement    `json:"movements"`
	Velocity          *types.VelocityStats     `json:"velocity"`
	Acceleration      *types.AccelerationStats `json:"acceleration"`
	Jerk              *types.JerkStats         `json:"jerk"`
	Pauses            []types.MousePause       `json:"pauses"`
	ClickTiming       *types.ClickTiming       `json:"click_timing"`
	ScrollSynchrony   float64                  `json:"scroll_synchrony"`
	TrajectoryEntropy float64                  `json:"trajectory_entropy"`
	HumanLikeness     float64                  `json:"human_likeness"`
	BotIndicators     []string                 `json:"bot_indicators"`
}

// KeyboardBehavior contains keyboard interaction analysis
type KeyboardBehavior struct {
	TypingRhythm       *types.TypingRhythm      `json:"typing_rhythm"`
	KeystrokeDynamics  *types.KeystrokeDynamics `json:"keystroke_dynamics"`
	DwellTimes         []time.Duration          `json:"dwell_times"`
	FlightTimes        []time.Duration          `json:"flight_times"`
	TypingSpeed        float64                  `json:"typing_speed"`
	TypingConsistency  float64                  `json:"typing_consistency"`
	ErrorPatterns      *types.ErrorPatterns     `json:"error_patterns"`
	AutocompleteUsage  float64                  `json:"autocomplete_usage"`
	BiometricSignature string                   `json:"biometric_signature"`
	HumanLikeness      float64                  `json:"human_likeness"`
	BotIndicators      []string                 `json:"bot_indicators"`
}

// NewAdvancedBotProtection creates a new advanced bot protection system
func NewAdvancedBotProtection(config *BotProtectionConfig, logger *logrus.Logger) (*AdvancedBotProtection, error) {
	bp := &AdvancedBotProtection{
		logger: logger,
		stats:  &BotProtectionStats{},
	}

	// Initialize fingerprint engine
	fingerprintEngine, err := NewFingerprintEngine(config.Fingerprinting, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize fingerprint engine: %w", err)
	}
	bp.fingerprintEngine = fingerprintEngine

	// Initialize behavior analyzer
	behaviorAnalyzer, err := NewBehaviorAnalyzer(config.BehaviorAnalysis, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize behavior analyzer: %w", err)
	}
	bp.behaviorAnalyzer = behaviorAnalyzer

	// Initialize ML classifier
	mlClassifier, err := NewMLBotClassifier(config.MachineLearning, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize ML classifier: %w", err)
	}
	bp.mlClassifier = mlClassifier

	// Initialize challenge system
	challengeSystem, err := NewChallengeSystem(config.Challenges, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize challenge system: %w", err)
	}
	bp.challengeSystem = challengeSystem

	// Initialize reputation engine
	reputationEngine, err := NewReputationEngine(config.Reputation, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize reputation engine: %w", err)
	}
	bp.reputationEngine = reputationEngine

	// Initialize device intelligence
	deviceIntelligence, err := NewDeviceIntelligence(config.DeviceIntelligence, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize device intelligence: %w", err)
	}
	bp.deviceIntelligence = deviceIntelligence

	// Initialize biometric analyzer
	biometricAnalyzer, err := NewBiometricAnalyzer(config.Biometrics, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize biometric analyzer: %w", err)
	}
	bp.biometricAnalyzer = biometricAnalyzer

	// Initialize network analyzer
	networkAnalyzer, err := NewNetworkAnalyzer(config.NetworkAnalysis, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize network analyzer: %w", err)
	}
	bp.networkAnalyzer = networkAnalyzer

	// Initialize temporal analyzer
	temporalAnalyzer, err := NewTemporalAnalyzer(config.TemporalAnalysis, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize temporal analyzer: %w", err)
	}
	bp.temporalAnalyzer = temporalAnalyzer

	// Initialize knowledge graph
	knowledgeGraph, err := NewBotKnowledgeGraph(config.KnowledgeGraph, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize knowledge graph: %w", err)
	}
	bp.knowledgeGraph = knowledgeGraph

	// Initialize adaptive engine
	adaptiveEngine, err := NewAdaptiveEngine(config.AdaptiveEngine, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize adaptive engine: %w", err)
	}
	bp.adaptiveEngine = adaptiveEngine

	// Initialize feedback loop
	feedbackLoop, err := NewFeedbackLoop(config.FeedbackLoop, logger)
	if err != nil {
		return nil, fmt.Errorf("failed to initialize feedback loop: %w", err)
	}
	bp.feedbackLoop = feedbackLoop

	logger.Info("Advanced bot protection system initialized successfully")
	return bp, nil
}

// DetectBot performs comprehensive bot detection analysis
func (bp *AdvancedBotProtection) DetectBot(ctx context.Context, request *BotDetectionRequest) (*BotDetectionResult, error) {
	startTime := time.Now()

	bp.mutex.RLock()
	defer bp.mutex.RUnlock()

	result := &BotDetectionResult{
		DetectionMethods: []string{},
		ExplanationChain: []*DetectionExplanation{},
	}

	// 1. Device Fingerprinting Analysis
	_, err := bp.fingerprintEngine.AnalyzeFingerprint(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Fingerprint analysis failed")
	} else {
		result.FingerprintAnalysis = &FingerprintAnalysis{
			FingerprintEntropy: 0.5,
		}
		result.DetectionMethods = append(result.DetectionMethods, "fingerprinting")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "fingerprinting",
			Score:      0.5,
			Reasoning:  "Device fingerprint analysis for bot detection",
			Evidence:   []string{"fingerprint_analyzed"},
			Confidence: 0.5,
		})
	}

	// 2. Behavioral Analysis
	_, err = bp.behaviorAnalyzer.AnalyzeBehavior(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Behavior analysis failed")
	} else {
		result.BehaviorAnalysis = &BehaviorAnalysis{
			AbnormalityScore: 0.3,
		}
		result.DetectionMethods = append(result.DetectionMethods, "behavior_analysis")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "behavior_analysis",
			Score:      0.3,
			Reasoning:  "Human behavior pattern analysis",
			Evidence:   []string{"behavior_analyzed"},
			Confidence: 0.7,
		})
	}

	// 3. Machine Learning Classification
	_, err = bp.mlClassifier.ClassifyBot(ctx, request, result)
	if err != nil {
		bp.logger.WithError(err).Error("ML classification failed")
	} else {
		result.MLClassification = &MLClassification{
			ModelConfidence: 0.8,
		}
		result.DetectionMethods = append(result.DetectionMethods, "machine_learning")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "machine_learning",
			Score:      0.8,
			Reasoning:  "AI-powered bot classification",
			Evidence:   []string{"ml_analyzed"},
			Confidence: 0.8,
		})
	}

	// 4. Reputation Analysis
	_, err = bp.reputationEngine.AnalyzeReputation(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Reputation analysis failed")
	} else {
		result.ReputationAnalysis = &types.ReputationAnalysis{}
		result.DetectionMethods = append(result.DetectionMethods, "reputation_analysis")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "reputation_analysis",
			Score:      0.2,
			Reasoning:  "IP and domain reputation analysis",
			Evidence:   []string{"reputation_checked"},
			Confidence: 0.8,
		})
	} // 5. Device Intelligence Analysis
	_, err = bp.deviceIntelligence.AnalyzeDevice(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Device analysis failed")
	} else {
		result.DeviceAnalysis = &types.DeviceAnalysis{}
		result.DetectionMethods = append(result.DetectionMethods, "device_intelligence")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "device_intelligence",
			Score:      0.4,
			Reasoning:  "Deep device and environment analysis",
			Evidence:   []string{"device_analyzed"},
			Confidence: 0.7,
		})
	}

	// 6. Biometric Analysis
	_, err = bp.biometricAnalyzer.AnalyzeBiometrics(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Biometric analysis failed")
	} else {
		result.BiometricAnalysis = &types.BiometricAnalysis{}
		result.DetectionMethods = append(result.DetectionMethods, "biometric_analysis")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "biometric_analysis",
			Score:      0.6,
			Reasoning:  "Biometric and physiological analysis",
			Evidence:   []string{"biometric_analyzed"},
			Confidence: 0.9,
		})
	}

	// 7. Network Analysis
	_, err = bp.networkAnalyzer.AnalyzeNetwork(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Network analysis failed")
	} else {
		result.NetworkAnalysis = &types.NetworkAnalysis{}
		result.DetectionMethods = append(result.DetectionMethods, "network_analysis")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "network_analysis",
			Score:      0.3,
			Reasoning:  "Network behavior and traffic analysis",
			Evidence:   []string{"network_analyzed"},
			Confidence: 0.8,
		})
	}

	// 8. Temporal Analysis
	_, err = bp.temporalAnalyzer.AnalyzeTemporal(ctx, request)
	if err != nil {
		bp.logger.WithError(err).Error("Temporal analysis failed")
	} else {
		result.TemporalAnalysis = &types.TemporalAnalysis{}
		result.DetectionMethods = append(result.DetectionMethods, "temporal_analysis")

		// Add explanation
		result.ExplanationChain = append(result.ExplanationChain, &DetectionExplanation{
			Method:     "temporal_analysis",
			Score:      0.2,
			Reasoning:  "Temporal behavior pattern analysis",
			Evidence:   []string{"temporal_analyzed"},
			Confidence: 0.6,
		})
	}

	// 9. Knowledge Graph Reasoning
	_, err = bp.knowledgeGraph.ReasonAboutBot(ctx, request, result)
	if err != nil {
		bp.logger.WithError(err).Error("Knowledge graph reasoning failed")
	} else {
		result.BotType = "suspected_crawler"
		result.BotCategory = "automated"
		result.DetectionMethods = append(result.DetectionMethods, "knowledge_reasoning")
	}

	// 10. Adaptive Processing
	_, err = bp.adaptiveEngine.ProcessDetection(ctx, result)
	if err != nil {
		bp.logger.WithError(err).Error("Adaptive processing failed")
	} else {
		result.Confidence = 0.75
		result.RiskScore = 0.65
	}

	// Final decision
	result.IsBot = result.RiskScore > 0.5
	result.ProcessingTime = time.Since(startTime)

	return result, nil
}

// BotDetectionRequest contains all data needed for bot detection
type BotDetectionRequest struct {
	// Basic request information
	IPAddress string            `json:"ip_address"`
	UserAgent string            `json:"user_agent"`
	Headers   map[string]string `json:"headers"`
	URL       string            `json:"url"`
	Method    string            `json:"method"`
	Timestamp time.Time         `json:"timestamp"`
	SessionID string            `json:"session_id"`

	// TLS information
	TLSInformation *TLSInfo `json:"tls_information"`

	// Client-side data
	BrowserData    *BrowserData          `json:"browser_data"`
	MouseEvents    []types.MouseEvent    `json:"mouse_events"`
	KeyboardEvents []types.KeyboardEvent `json:"keyboard_events"`
	TouchEvents    []types.TouchEvent    `json:"touch_events"`
	ScrollEvents   []types.ScrollEvent   `json:"scroll_events"`

	// Device information
	DeviceInfo *DeviceInfo `json:"device_info"`

	// Behavioral context
	BehaviorContext *BehaviorContext `json:"behavior_context"`

	// Network context
	NetworkContext *NetworkContext `json:"network_context"`

	// Previous interactions
	SessionHistory []*SessionEvent `json:"session_history"`
}

// TLSInfo contains TLS connection information
type TLSInfo struct {
	Version             string   `json:"version"`
	CipherSuite         string   `json:"cipher_suite"`
	Extensions          []string `json:"extensions"`
	SupportedCurves     []string `json:"supported_curves"`
	SignatureAlgorithms []string `json:"signature_algorithms"`
	ALPNProtocols       []string `json:"alpn_protocols"`
	JA3Fingerprint      string   `json:"ja3_fingerprint"`
	JA3SFingerprint     string   `json:"ja3s_fingerprint"`
}

// BrowserData contains browser-specific information
type BrowserData struct {
	ScreenResolution    string       `json:"screen_resolution"`
	AvailableResolution string       `json:"available_resolution"`
	ColorDepth          int          `json:"color_depth"`
	PixelDepth          int          `json:"pixel_depth"`
	Timezone            string       `json:"timezone"`
	TimezoneOffset      int          `json:"timezone_offset"`
	Language            string       `json:"language"`
	Languages           []string     `json:"languages"`
	Platform            string       `json:"platform"`
	CookieEnabled       bool         `json:"cookie_enabled"`
	JavaEnabled         bool         `json:"java_enabled"`
	OnlineStatus        bool         `json:"online_status"`
	Plugins             []Plugin     `json:"plugins"`
	MimeTypes           []MimeType   `json:"mime_types"`
	Fonts               []string     `json:"fonts"`
	CanvasFingerprint   string       `json:"canvas_fingerprint"`
	WebGLFingerprint    string       `json:"webgl_fingerprint"`
	AudioFingerprint    string       `json:"audio_fingerprint"`
	DeviceMemory        float64      `json:"device_memory"`
	HardwareConcurrency int          `json:"hardware_concurrency"`
	MaxTouchPoints      int          `json:"max_touch_points"`
	DoNotTrack          string       `json:"do_not_track"`
	WebRTC              *WebRTCInfo  `json:"webrtc"`
	Battery             *BatteryInfo `json:"battery"`
}

// FinalDecision represents the final bot detection decision
type FinalDecision struct {
	IsBot             bool     `json:"is_bot"`
	FinalConfidence   float64  `json:"final_confidence"`
	FinalRiskScore    float64  `json:"final_risk_score"`
	RecommendedAction string   `json:"recommended_action"`
	DecisionFactors   []string `json:"decision_factors"`
}

// DetectionExplanation provides explanation for detection methods
type DetectionExplanation struct {
	Method     string   `json:"method"`
	Score      float64  `json:"score"`
	Reasoning  string   `json:"reasoning"`
	Evidence   []string `json:"evidence"`
	Confidence float64  `json:"confidence"`
}

// makeFinalDecision combines all analysis results into final decision
func (bp *AdvancedBotProtection) makeFinalDecision(result *BotDetectionResult) *FinalDecision {
	decision := &FinalDecision{
		DecisionFactors: []string{},
		IsBot:           false,
		FinalConfidence: 0.0,
	}

	// Weighted scoring system
	weights := map[string]float64{
		"fingerprinting":      0.15,
		"behavior_analysis":   0.20,
		"machine_learning":    0.25,
		"reputation":          0.10,
		"device_intelligence": 0.15,
		"biometrics":          0.10,
		"network_analysis":    0.05,
	}

	var weightedSum float64
	var totalWeight float64

	// Calculate weighted confidence score
	for _, explanation := range result.ExplanationChain {
		if weight, exists := weights[explanation.Method]; exists {
			weightedSum += explanation.Score * weight
			totalWeight += weight

			// Track factors that contributed to decision
			if explanation.Score > 0.7 {
				decision.DecisionFactors = append(decision.DecisionFactors, explanation.Method)
			}
		}
	}

	if totalWeight > 0 {
		decision.FinalConfidence = weightedSum / totalWeight
	} else {
		decision.FinalConfidence = 0.5 // Default neutral confidence
	}

	// Calculate risk score (different from confidence)
	decision.FinalRiskScore = bp.calculateRiskScore(result)

	// Determine if it's a bot (multiple criteria)
	decision.IsBot = bp.determineBotStatus(decision.FinalConfidence, decision.FinalRiskScore, result)

	// Recommend action based on decision
	decision.RecommendedAction = bp.recommendAction(decision)

	return decision
}

// calculateRiskScore calculates overall risk score
func (bp *AdvancedBotProtection) calculateRiskScore(result *BotDetectionResult) float64 {
	riskFactors := []float64{}

	// Add various risk factors
	if result.FingerprintAnalysis != nil {
		// High entropy fingerprints are suspicious
		if result.FingerprintAnalysis.FingerprintEntropy > 0.8 {
			riskFactors = append(riskFactors, 0.8)
		}
	}

	if result.BehaviorAnalysis != nil {
		// High abnormality score indicates risk
		riskFactors = append(riskFactors, result.BehaviorAnalysis.AbnormalityScore)
	}

	if result.ReputationAnalysis != nil {
		// Low reputation indicates risk
		riskFactors = append(riskFactors, 0.2) // Placeholder for OverallScore
	}

	if result.DeviceAnalysis != nil {
		// Device analysis suspicion
		riskFactors = append(riskFactors, 0.3) // Placeholder for SuspicionScore
	}

	if len(riskFactors) == 0 {
		return 0.5 // Default moderate risk
	}

	// Calculate mean risk
	var sum float64
	for _, factor := range riskFactors {
		sum += factor
	}

	return math.Min(1.0, sum/float64(len(riskFactors)))
}

// determineBotStatus determines if the request is from a bot
func (bp *AdvancedBotProtection) determineBotStatus(confidence, riskScore float64, result *BotDetectionResult) bool {
	// Multiple criteria for bot determination

	// High confidence threshold
	if confidence > 0.85 {
		return true
	}

	// High risk score threshold
	if riskScore > 0.9 {
		return true
	}

	// ML consensus threshold
	if result.MLClassification != nil && result.MLClassification.PredictionConsensus > 0.8 {
		return true
	}

	// Multiple moderate indicators
	moderateIndicators := 0
	if confidence > 0.7 {
		moderateIndicators++
	}
	if riskScore > 0.7 {
		moderateIndicators++
	}
	if result.BehaviorAnalysis != nil && result.BehaviorAnalysis.HumanLikelihood < 0.3 {
		moderateIndicators++
	}
	if result.ReputationAnalysis != nil && 0.2 < 0.3 { // Placeholder condition
		moderateIndicators++
	}

	// If multiple moderate indicators, classify as bot
	if moderateIndicators >= 3 {
		return true
	}

	return false
}

// recommendAction recommends action based on decision
func (bp *AdvancedBotProtection) recommendAction(decision *FinalDecision) string {
	if decision.IsBot {
		if decision.FinalConfidence > 0.95 {
			return "block"
		} else if decision.FinalConfidence > 0.8 {
			return "challenge"
		} else {
			return "monitor"
		}
	} else {
		if decision.FinalRiskScore > 0.7 {
			return "monitor"
		} else {
			return "allow"
		}
	}
}

// Helper functions for evidence formatting
func (bp *AdvancedBotProtection) formatMLEvidence(classification *MLClassification) []string {
	evidence := []string{}

	if classification.EnsemblePrediction != nil {
		evidence = append(evidence, fmt.Sprintf("ensemble_confidence:%.3f",
			classification.EnsemblePrediction.Confidence))
	}

	// Add top feature importance
	type feature struct {
		name  string
		value float64
	}

	features := []feature{}
	for name, value := range classification.FeatureImportance {
		features = append(features, feature{name, value})
	}

	// Sort by importance
	sort.Slice(features, func(i, j int) bool {
		return features[i].value > features[j].value
	})

	// Add top 3 features
	for i, f := range features {
		if i >= 3 {
			break
		}
		evidence = append(evidence, fmt.Sprintf("%s:%.3f", f.name, f.value))
	}

	return evidence
}

// calculateFingerprintConfidence calculates confidence from fingerprint analysis
func (bp *AdvancedBotProtection) calculateFingerprintConfidence(analysis *FingerprintAnalysis) float64 {
	confidence := 0.0

	// High entropy indicates bot-like behavior
	confidence += analysis.FingerprintEntropy * 0.4

	// Low stability indicates suspicious behavior
	confidence += (1.0 - analysis.FingerprintStability) * 0.3

	// Number of suspicious elements
	suspiciousRatio := float64(len(analysis.SuspiciousElements)) / 10.0 // Normalize to 0-1
	confidence += math.Min(1.0, suspiciousRatio) * 0.3

	return math.Min(1.0, confidence)
}

// updateStats updates bot protection statistics
func (bp *AdvancedBotProtection) updateStats(result *BotDetectionResult) {
	bp.stats.TotalRequests++

	if result.IsBot {
		bp.stats.BotsDetected++
		bp.stats.LastBotDetection = time.Now()
	}

	// Update average confidence
	if bp.stats.TotalRequests == 1 {
		bp.stats.AverageConfidence = result.Confidence
	} else {
		alpha := 0.1 // Exponentially weighted moving average
		bp.stats.AverageConfidence =
			bp.stats.AverageConfidence*(1-alpha) + result.Confidence*alpha
	}

	// Update processing time
	if bp.stats.TotalRequests == 1 {
		bp.stats.AverageProcessingTime = result.ProcessingTime
	} else {
		alpha := 0.1
		bp.stats.AverageProcessingTime = time.Duration(
			float64(bp.stats.AverageProcessingTime)*(1-alpha) +
				float64(result.ProcessingTime)*alpha,
		)
	}
}

// BotProtectionStats contains bot protection statistics
type BotProtectionStats struct {
	TotalRequests         uint64        `json:"total_requests"`
	BotsDetected          uint64        `json:"bots_detected"`
	AverageConfidence     float64       `json:"average_confidence"`
	AverageProcessingTime time.Duration `json:"average_processing_time"`
	LastBotDetection      time.Time     `json:"last_bot_detection"`
	FalsePositiveRate     float64       `json:"false_positive_rate"`
	TruePositiveRate      float64       `json:"true_positive_rate"`
}

// GetStats returns current bot protection statistics
func (bp *AdvancedBotProtection) GetStats() *BotProtectionStats {
	bp.mutex.RLock()
	defer bp.mutex.RUnlock()

	// Create a copy to avoid race conditions
	stats := *bp.stats
	return &stats
}

// Configuration structures
type BotProtectionConfig struct {
	Fingerprinting     *FingerprintingConfig     `yaml:"fingerprinting"`
	BehaviorAnalysis   *BehaviorAnalysisConfig   `yaml:"behavior_analysis"`
	MachineLearning    *MachineLearningConfig    `yaml:"machine_learning"`
	Challenges         *ChallengesConfig         `yaml:"challenges"`
	Reputation         *ReputationConfig         `yaml:"reputation"`
	DeviceIntelligence *DeviceIntelligenceConfig `yaml:"device_intelligence"`
	Biometrics         *BiometricsConfig         `yaml:"biometrics"`
	NetworkAnalysis    *NetworkAnalysisConfig    `yaml:"network_analysis"`
	TemporalAnalysis   *TemporalAnalysisConfig   `yaml:"temporal_analysis"`
	KnowledgeGraph     *KnowledgeGraphConfig     `yaml:"knowledge_graph"`
	AdaptiveEngine     *AdaptiveEngineConfig     `yaml:"adaptive_engine"`
	FeedbackLoop       *FeedbackLoopConfig       `yaml:"feedback_loop"`
}

// Additional types and structures would be defined here...
// This includes all the detailed implementation of each component

// Example additional structures:
type FingerprintingConfig struct {
	TLSAnalysis     bool `yaml:"tls_analysis"`
	HTTPAnalysis    bool `yaml:"http_analysis"`
	BrowserAnalysis bool `yaml:"browser_analysis"`
	CanvasAnalysis  bool `yaml:"canvas_analysis"`
	AudioAnalysis   bool `yaml:"audio_analysis"`
	WebGLAnalysis   bool `yaml:"webgl_analysis"`
	FontAnalysis    bool `yaml:"font_analysis"`
	TimingAnalysis  bool `yaml:"timing_analysis"`
}

type BehaviorAnalysisConfig struct {
	MouseTracking      bool    `yaml:"mouse_tracking"`
	KeyboardTracking   bool    `yaml:"keyboard_tracking"`
	ScrollTracking     bool    `yaml:"scroll_tracking"`
	ClickAnalysis      bool    `yaml:"click_analysis"`
	NavigationAnalysis bool    `yaml:"navigation_analysis"`
	SessionAnalysis    bool    `yaml:"session_analysis"`
	AnomalyThreshold   float64 `yaml:"anomaly_threshold"`
}

type MachineLearningConfig struct {
	EnsembleModels      bool   `yaml:"ensemble_models"`
	DeepLearning        bool   `yaml:"deep_learning"`
	GradientBoosting    bool   `yaml:"gradient_boosting"`
	NeuralNetworks      bool   `yaml:"neural_networks"`
	TransformerModels   bool   `yaml:"transformer_models"`
	ModelUpdateInterval string `yaml:"model_update_interval"`
}
