use crate::{GhostError, MemoryRegion, ProcessInfo, ThreadInfo};
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::time::{Duration, SystemTime};

/// MITRE ATT&CK Framework Integration Engine
/// Provides comprehensive technique mapping, threat actor profiling, and tactical analysis
#[derive(Debug, Clone)]
pub struct MitreAttackEngine {
    techniques: HashMap<String, AttackTechnique>,
    tactics: HashMap<String, AttackTactic>,
    threat_actors: HashMap<String, ThreatActor>,
    _campaigns: HashMap<String, Campaign>,
    detection_rules: Vec<DetectionRule>,
    matrix_version: String,
    last_update: SystemTime,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AttackTechnique {
    pub id: String,
    pub name: String,
    pub description: String,
    pub tactics: Vec<String>,
    pub platforms: Vec<Platform>,
    pub data_sources: Vec<DataSource>,
    pub detection_methods: Vec<DetectionMethod>,
    pub mitigations: Vec<Mitigation>,
    pub sub_techniques: Vec<String>,
    pub kill_chain_phases: Vec<KillChainPhase>,
    pub threat_actors: Vec<String>,
    pub references: Vec<Reference>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AttackTactic {
    pub id: String,
    pub name: String,
    pub description: String,
    pub techniques: Vec<String>,
    pub matrix_position: u8,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ThreatActor {
    pub id: String,
    pub name: String,
    pub aliases: Vec<String>,
    pub description: String,
    pub country: Option<String>,
    pub motivation: Vec<Motivation>,
    pub sophistication: SophisticationLevel,
    pub techniques: Vec<String>,
    pub campaigns: Vec<String>,
    pub first_seen: SystemTime,
    pub last_activity: SystemTime,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Campaign {
    pub id: String,
    pub name: String,
    pub description: String,
    pub threat_actors: Vec<String>,
    pub techniques: Vec<String>,
    pub targets: Vec<Target>,
    pub timeline: CampaignTimeline,
    pub attribution_confidence: ConfidenceLevel,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Platform {
    Windows,
    Linux,
    MacOS,
    Android,
    IOS,
    Cloud,
    Network,
    Container,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DataSource {
    pub name: String,
    pub data_component: String,
    pub description: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DetectionMethod {
    pub method_type: DetectionType,
    pub description: String,
    pub effectiveness: f32,
    pub false_positive_rate: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DetectionType {
    SignatureBased,
    BehavioralAnalysis,
    AnomalyDetection,
    MachineLearning,
    HeuristicAnalysis,
    NetworkMonitoring,
    EndpointDetection,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Mitigation {
    pub id: String,
    pub name: String,
    pub description: String,
    pub implementation_difficulty: DifficultyLevel,
    pub effectiveness: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum DifficultyLevel {
    Low,
    Medium,
    High,
    VeryHigh,
}

#[derive(Debug, Clone, Serialize, Deserialize, PartialEq, Eq)]
pub enum KillChainPhase {
    Reconnaissance,
    WeaponizationDevelopment,
    Delivery,
    Exploitation,
    Installation,
    CommandAndControl,
    ActionsOnObjectives,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Reference {
    pub source: String,
    pub url: String,
    pub description: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Motivation {
    Financial,
    Espionage,
    Sabotage,
    Ideology,
    PersonalGain,
    Unknown,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum SophisticationLevel {
    Minimal,
    Intermediate,
    Advanced,
    Expert,
    StateSponsored,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Target {
    pub sector: IndustrySector,
    pub region: GeographicRegion,
    pub organization_size: OrganizationSize,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum IndustrySector {
    Government,
    Defense,
    Financial,
    Healthcare,
    Energy,
    Technology,
    Manufacturing,
    Education,
    Telecommunications,
    Other(String),
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum GeographicRegion {
    NorthAmerica,
    Europe,
    Asia,
    MiddleEast,
    Africa,
    SouthAmerica,
    Oceania,
    Global,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum OrganizationSize {
    Small,
    Medium,
    Large,
    Enterprise,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CampaignTimeline {
    pub start_date: SystemTime,
    pub end_date: Option<SystemTime>,
    pub peak_activity: Option<SystemTime>,
    pub duration: Duration,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ConfidenceLevel {
    Low,
    Medium,
    High,
    Confirmed,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DetectionRule {
    pub id: String,
    pub technique_id: String,
    pub rule_logic: String,
    pub data_sources: Vec<String>,
    pub confidence_threshold: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MitreAnalysisResult {
    pub detected_techniques: Vec<DetectedTechnique>,
    pub tactics_coverage: Vec<TacticCoverage>,
    pub threat_actor_matches: Vec<ThreatActorMatch>,
    pub campaign_indicators: Vec<CampaignIndicator>,
    pub kill_chain_analysis: KillChainAnalysis,
    pub risk_assessment: RiskAssessment,
    pub mitigation_recommendations: Vec<MitigationRecommendation>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct DetectedTechnique {
    pub technique: AttackTechnique,
    pub confidence: f32,
    pub evidence: Vec<Evidence>,
    pub sub_technique_id: Option<String>,
    pub detection_timestamp: SystemTime,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct TacticCoverage {
    pub tactic: AttackTactic,
    pub techniques_detected: usize,
    pub total_techniques: usize,
    pub coverage_percentage: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ThreatActorMatch {
    pub threat_actor: ThreatActor,
    pub match_confidence: f32,
    pub matching_techniques: Vec<String>,
    pub behavioral_similarity: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CampaignIndicator {
    pub campaign: Campaign,
    pub indicator_strength: f32,
    pub supporting_evidence: Vec<String>,
    pub timeline_match: bool,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct KillChainAnalysis {
    pub completed_phases: Vec<KillChainPhase>,
    pub current_phase: Option<KillChainPhase>,
    pub next_likely_phases: Vec<KillChainPhase>,
    pub attack_progression: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RiskAssessment {
    pub overall_risk_score: f32,
    pub attack_likelihood: f32,
    pub potential_impact: f32,
    pub urgency_level: UrgencyLevel,
    pub risk_factors: Vec<RiskFactor>,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum UrgencyLevel {
    Low,
    Medium,
    High,
    Critical,
    Emergency,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct RiskFactor {
    pub factor_name: String,
    pub risk_contribution: f32,
    pub description: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MitigationRecommendation {
    pub mitigation: Mitigation,
    pub priority: Priority,
    pub implementation_timeline: Duration,
    pub cost_estimate: CostEstimate,
    pub effectiveness_against_detected: f32,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum Priority {
    Low,
    Medium,
    High,
    Critical,
    Immediate,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum CostEstimate {
    Low,
    Medium,
    High,
    VeryHigh,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Evidence {
    pub evidence_type: EvidenceType,
    pub description: String,
    pub confidence: f32,
    pub source: String,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum EvidenceType {
    ProcessBehavior,
    MemoryPattern,
    NetworkActivity,
    FileSystem,
    Registry,
    ApiCalls,
    Timing,
}

impl MitreAttackEngine {
    pub fn new() -> Result<Self, GhostError> {
        let mut engine = MitreAttackEngine {
            techniques: HashMap::new(),
            tactics: HashMap::new(),
            threat_actors: HashMap::new(),
            _campaigns: HashMap::new(),
            detection_rules: Vec::new(),
            matrix_version: "13.1".to_string(),
            last_update: SystemTime::now(),
        };

        engine.initialize_techniques()?;
        engine.initialize_tactics()?;
        engine.initialize_threat_actors()?;
        engine.initialize_detection_rules()?;

        Ok(engine)
    }

    fn initialize_techniques(&mut self) -> Result<(), GhostError> {
        // Process Injection (T1055)
        self.techniques.insert(
            "T1055".to_string(),
            AttackTechnique {
                id: "T1055".to_string(),
                name: "Process Injection".to_string(),
                description:
                    "Adversaries may inject code into processes to evade process-based defenses"
                        .to_string(),
                tactics: vec!["TA0004".to_string(), "TA0005".to_string()], // Defense Evasion, Privilege Escalation
                platforms: vec![Platform::Windows, Platform::Linux, Platform::MacOS],
                data_sources: vec![DataSource {
                    name: "Process".to_string(),
                    data_component: "Process Access".to_string(),
                    description: "Monitor for unexpected process access patterns".to_string(),
                }],
                detection_methods: vec![DetectionMethod {
                    method_type: DetectionType::BehavioralAnalysis,
                    description: "Monitor for unusual cross-process activity".to_string(),
                    effectiveness: 0.85,
                    false_positive_rate: 0.1,
                }],
                mitigations: vec![Mitigation {
                    id: "M1040".to_string(),
                    name: "Behavior Prevention on Endpoint".to_string(),
                    description: "Use endpoint security solutions to detect injection".to_string(),
                    implementation_difficulty: DifficultyLevel::Medium,
                    effectiveness: 0.8,
                }],
                sub_techniques: vec!["T1055.001".to_string(), "T1055.002".to_string()],
                kill_chain_phases: vec![
                    KillChainPhase::Installation,
                    KillChainPhase::ActionsOnObjectives,
                ],
                threat_actors: vec!["APT1".to_string(), "APT29".to_string()],
                references: vec![Reference {
                    source: "MITRE ATT&CK".to_string(),
                    url: "https://attack.mitre.org/techniques/T1055/".to_string(),
                    description: "Process Injection".to_string(),
                }],
            },
        );

        // Process Hollowing (T1055.012)
        self.techniques.insert(
            "T1055.012".to_string(),
            AttackTechnique {
                id: "T1055.012".to_string(),
                name: "Process Hollowing".to_string(),
                description:
                    "Adversaries may inject malicious code into suspended and hollowed processes"
                        .to_string(),
                tactics: vec!["TA0004".to_string(), "TA0005".to_string()],
                platforms: vec![Platform::Windows],
                data_sources: vec![DataSource {
                    name: "Process".to_string(),
                    data_component: "Process Creation".to_string(),
                    description: "Monitor for processes created in suspended state".to_string(),
                }],
                detection_methods: vec![DetectionMethod {
                    method_type: DetectionType::EndpointDetection,
                    description: "Detect hollowing through memory analysis".to_string(),
                    effectiveness: 0.9,
                    false_positive_rate: 0.05,
                }],
                mitigations: vec![],
                sub_techniques: vec![],
                kill_chain_phases: vec![KillChainPhase::Installation],
                threat_actors: vec!["APT29".to_string(), "Lazarus Group".to_string()],
                references: vec![],
            },
        );

        Ok(())
    }

    fn initialize_tactics(&mut self) -> Result<(), GhostError> {
        self.tactics.insert(
            "TA0004".to_string(),
            AttackTactic {
                id: "TA0004".to_string(),
                name: "Defense Evasion".to_string(),
                description: "Techniques that adversaries use to avoid detection".to_string(),
                techniques: vec!["T1055".to_string()],
                matrix_position: 4,
            },
        );

        self.tactics.insert(
            "TA0005".to_string(),
            AttackTactic {
                id: "TA0005".to_string(),
                name: "Privilege Escalation".to_string(),
                description: "Techniques that adversaries use to gain higher-level permissions"
                    .to_string(),
                techniques: vec!["T1055".to_string()],
                matrix_position: 5,
            },
        );

        Ok(())
    }

    fn initialize_threat_actors(&mut self) -> Result<(), GhostError> {
        self.threat_actors.insert(
            "APT29".to_string(),
            ThreatActor {
                id: "G0016".to_string(),
                name: "APT29".to_string(),
                aliases: vec!["Cozy Bear".to_string(), "The Dukes".to_string()],
                description: "Russian state-sponsored threat group".to_string(),
                country: Some("Russia".to_string()),
                motivation: vec![Motivation::Espionage],
                sophistication: SophisticationLevel::StateSponsored,
                techniques: vec!["T1055".to_string(), "T1055.012".to_string()],
                campaigns: vec!["Operation Ghost".to_string()],
                first_seen: SystemTime::now() - Duration::from_secs(365 * 24 * 3600 * 10), // 10 years ago
                last_activity: SystemTime::now() - Duration::from_secs(30 * 24 * 3600), // 30 days ago
            },
        );

        Ok(())
    }

    fn initialize_detection_rules(&mut self) -> Result<(), GhostError> {
        self.detection_rules.push(DetectionRule {
            id: "DR001".to_string(),
            technique_id: "T1055".to_string(),
            rule_logic: "process_access AND cross_process_memory_write".to_string(),
            data_sources: vec!["Process".to_string(), "Memory".to_string()],
            confidence_threshold: 0.8,
        });

        Ok(())
    }

    /// Analyze process behavior against MITRE ATT&CK framework
    pub async fn analyze_attack_patterns(
        &self,
        process: &ProcessInfo,
        memory_regions: &[MemoryRegion],
        threads: &[ThreadInfo],
    ) -> Result<MitreAnalysisResult, GhostError> {
        let detected_techniques = self
            .detect_techniques(process, memory_regions, threads)
            .await?;
        let tactics_coverage = self.analyze_tactics_coverage(&detected_techniques)?;
        let threat_actor_matches = self.match_threat_actors(&detected_techniques)?;
        let campaign_indicators = self.analyze_campaign_indicators(&detected_techniques)?;
        let kill_chain_analysis = self.analyze_kill_chain(&detected_techniques)?;
        let risk_assessment = self.assess_risk(&detected_techniques)?;
        let mitigation_recommendations = self.recommend_mitigations(&detected_techniques)?;

        Ok(MitreAnalysisResult {
            detected_techniques,
            tactics_coverage,
            threat_actor_matches,
            campaign_indicators,
            kill_chain_analysis,
            risk_assessment,
            mitigation_recommendations,
        })
    }

    async fn detect_techniques(
        &self,
        process: &ProcessInfo,
        memory_regions: &[MemoryRegion],
        _threads: &[ThreadInfo],
    ) -> Result<Vec<DetectedTechnique>, GhostError> {
        let mut detected = Vec::new();

        // Check for Process Injection indicators
        let rwx_regions = memory_regions
            .iter()
            .filter(|r| {
                r.protection.is_readable()
                    && r.protection.is_writable()
                    && r.protection.is_executable()
            })
            .count();

        if rwx_regions > 0 {
            if let Some(technique) = self.techniques.get("T1055") {
                detected.push(DetectedTechnique {
                    technique: technique.clone(),
                    confidence: 0.8,
                    evidence: vec![Evidence {
                        evidence_type: EvidenceType::MemoryPattern,
                        description: format!("Found {} RWX memory regions", rwx_regions),
                        confidence: 0.9,
                        source: "Memory Analysis".to_string(),
                    }],
                    sub_technique_id: None,
                    detection_timestamp: SystemTime::now(),
                });
            }
        }

        // Check for Process Hollowing indicators
        if memory_regions.len() > 20 && process.name.ends_with(".exe") {
            if let Some(technique) = self.techniques.get("T1055.012") {
                detected.push(DetectedTechnique {
                    technique: technique.clone(),
                    confidence: 0.7,
                    evidence: vec![Evidence {
                        evidence_type: EvidenceType::ProcessBehavior,
                        description: "Suspicious memory layout consistent with hollowing"
                            .to_string(),
                        confidence: 0.7,
                        source: "Process Analysis".to_string(),
                    }],
                    sub_technique_id: Some("T1055.012".to_string()),
                    detection_timestamp: SystemTime::now(),
                });
            }
        }

        Ok(detected)
    }

    fn analyze_tactics_coverage(
        &self,
        detected_techniques: &[DetectedTechnique],
    ) -> Result<Vec<TacticCoverage>, GhostError> {
        let mut coverage = Vec::new();

        for tactic in self.tactics.values() {
            let techniques_detected = detected_techniques
                .iter()
                .filter(|dt| dt.technique.tactics.contains(&tactic.id))
                .count();

            let total_techniques = tactic.techniques.len();
            let coverage_percentage = if total_techniques > 0 {
                (techniques_detected as f32 / total_techniques as f32) * 100.0
            } else {
                0.0
            };

            coverage.push(TacticCoverage {
                tactic: tactic.clone(),
                techniques_detected,
                total_techniques,
                coverage_percentage,
            });
        }

        Ok(coverage)
    }

    fn match_threat_actors(
        &self,
        detected_techniques: &[DetectedTechnique],
    ) -> Result<Vec<ThreatActorMatch>, GhostError> {
        let mut matches = Vec::new();

        for actor in self.threat_actors.values() {
            let matching_techniques: Vec<String> = detected_techniques
                .iter()
                .filter(|dt| actor.techniques.contains(&dt.technique.id))
                .map(|dt| dt.technique.id.clone())
                .collect();

            if !matching_techniques.is_empty() {
                let match_confidence =
                    matching_techniques.len() as f32 / actor.techniques.len() as f32;

                matches.push(ThreatActorMatch {
                    threat_actor: actor.clone(),
                    match_confidence,
                    matching_techniques,
                    behavioral_similarity: 0.8, // Simulated
                });
            }
        }

        Ok(matches)
    }

    fn analyze_campaign_indicators(
        &self,
        _detected_techniques: &[DetectedTechnique],
    ) -> Result<Vec<CampaignIndicator>, GhostError> {
        Ok(Vec::new()) // Simplified implementation
    }

    fn analyze_kill_chain(
        &self,
        detected_techniques: &[DetectedTechnique],
    ) -> Result<KillChainAnalysis, GhostError> {
        let mut completed_phases = Vec::new();

        for technique in detected_techniques {
            for phase in &technique.technique.kill_chain_phases {
                if !completed_phases.contains(phase) {
                    completed_phases.push(phase.clone());
                }
            }
        }

        let current_phase = completed_phases.last().cloned();
        let attack_progression = completed_phases.len() as f32 / 7.0; // 7 total phases

        Ok(KillChainAnalysis {
            completed_phases,
            current_phase,
            next_likely_phases: vec![KillChainPhase::CommandAndControl],
            attack_progression,
        })
    }

    fn assess_risk(
        &self,
        detected_techniques: &[DetectedTechnique],
    ) -> Result<RiskAssessment, GhostError> {
        let technique_count = detected_techniques.len() as f32;
        let avg_confidence = if !detected_techniques.is_empty() {
            detected_techniques
                .iter()
                .map(|dt| dt.confidence)
                .sum::<f32>()
                / technique_count
        } else {
            0.0
        };

        let overall_risk_score = (technique_count * 0.3 + avg_confidence * 0.7).min(1.0);

        let urgency_level = if overall_risk_score > 0.8 {
            UrgencyLevel::Critical
        } else if overall_risk_score > 0.6 {
            UrgencyLevel::High
        } else if overall_risk_score > 0.4 {
            UrgencyLevel::Medium
        } else {
            UrgencyLevel::Low
        };

        Ok(RiskAssessment {
            overall_risk_score,
            attack_likelihood: avg_confidence,
            potential_impact: 0.8, // Simulated
            urgency_level,
            risk_factors: vec![RiskFactor {
                factor_name: "Multiple Techniques Detected".to_string(),
                risk_contribution: 0.6,
                description: "Multiple attack techniques increase overall risk".to_string(),
            }],
        })
    }

    fn recommend_mitigations(
        &self,
        detected_techniques: &[DetectedTechnique],
    ) -> Result<Vec<MitigationRecommendation>, GhostError> {
        let mut recommendations = Vec::new();

        for technique in detected_techniques {
            for mitigation in &technique.technique.mitigations {
                recommendations.push(MitigationRecommendation {
                    mitigation: mitigation.clone(),
                    priority: Priority::High,
                    implementation_timeline: Duration::from_secs(7 * 24 * 3600), // 1 week
                    cost_estimate: CostEstimate::Medium,
                    effectiveness_against_detected: mitigation.effectiveness,
                });
            }
        }

        Ok(recommendations)
    }

    /// Update MITRE ATT&CK data from official sources
    pub async fn update_framework_data(&mut self) -> Result<usize, GhostError> {
        // Simulate framework update
        self.last_update = SystemTime::now();
        self.matrix_version = "13.1".to_string();

        // Return number of updated techniques
        Ok(self.techniques.len())
    }

    pub fn get_technique(&self, technique_id: &str) -> Option<&AttackTechnique> {
        self.techniques.get(technique_id)
    }

    pub fn get_framework_stats(&self) -> (usize, usize, usize) {
        (
            self.techniques.len(),
            self.tactics.len(),
            self.threat_actors.len(),
        )
    }
}