reasonkit-core 0.1.8

//! # Simulation Platform Validator
//!
//! Specialized validator for simulation-based protocol validation implementing
//! "Agent-as-a-Verifier" paradigm for logic flow, state management, and decision trees.

use super::BasePlatformValidator;
use super::*;

/// Simulation-specific validator for logic flow and state management validation
pub struct SimulationValidator {
    base: BasePlatformValidator,
    #[allow(dead_code)]
    logic_analyzer: LogicFlowAnalyzer,
    #[allow(dead_code)]
    state_validator: StateValidator,
    #[allow(dead_code)]
    decision_tree_analyzer: DecisionTreeAnalyzer,
    #[allow(dead_code)]
    simulation_engine: SimulationEngine,
}

impl Default for SimulationValidator {
    fn default() -> Self {
        Self::new()
    }
}

impl SimulationValidator {
    pub fn new() -> Self {
        Self {
            base: BasePlatformValidator::new(Platform::Simulation),
            logic_analyzer: LogicFlowAnalyzer::new(),
            state_validator: StateValidator::new(),
            decision_tree_analyzer: DecisionTreeAnalyzer::new(),
            simulation_engine: SimulationEngine::new(),
        }
    }

    /// Perform comprehensive simulation validation
    async fn validate_simulation_protocol(
        &self,
        protocol_content: &str,
        config: &ValidationConfig,
    ) -> Result<SimulationValidationResult, VIBEError> {
        let start_time = std::time::Instant::now();

        // Extract simulation-specific elements
        let simulation_elements = self.extract_simulation_elements(protocol_content)?;

        // Validate logic flow
        let logic_validation = self
            .validate_logic_flow(&simulation_elements, config)
            .await?;

        // Validate state management
        let state_validation = self
            .validate_state_management(&simulation_elements, config)
            .await?;

        // Validate decision trees
        let decision_validation = self
            .validate_decision_trees(&simulation_elements, config)
            .await?;

        // Validate edge cases
        let edge_case_validation = self
            .validate_edge_cases(&simulation_elements, config)
            .await?;

        // Validate simulation completeness
        let completeness_validation = self
            .validate_completeness(&simulation_elements, config)
            .await?;

        let validation_time = start_time.elapsed().as_millis() as u64;

        // Aggregate validation results
        let overall_score = self.calculate_simulation_score(&[
            &logic_validation,
            &state_validation,
            &decision_validation,
            &edge_case_validation,
            &completeness_validation,
        ])?;

        let mut all_issues = Vec::new();
        all_issues.extend(logic_validation.issues);
        all_issues.extend(state_validation.issues);
        all_issues.extend(decision_validation.issues);
        all_issues.extend(edge_case_validation.issues);
        all_issues.extend(completeness_validation.issues);

        let recommendations =
            self.generate_simulation_recommendations(&all_issues, overall_score)?;

        Ok(SimulationValidationResult {
            overall_score,
            logic_score: logic_validation.score,
            state_score: state_validation.score,
            decision_score: decision_validation.score,
            edge_case_score: edge_case_validation.score,
            completeness_score: completeness_validation.score,
            validation_time_ms: validation_time,
            issues: all_issues,
            recommendations,
            simulation_metrics: SimulationMetrics {
                logic_complexity: logic_validation.complexity_score,
                state_transitions: state_validation.transition_count,
                decision_depth: decision_validation.max_depth,
                edge_cases_covered: edge_case_validation.covered_count,
                simulation_completeness: completeness_validation.completeness_percentage,
            },
        })
    }

    /// Extract simulation-specific elements from protocol
    fn extract_simulation_elements(&self, content: &str) -> Result<SimulationElements, VIBEError> {
        let mut elements = SimulationElements::default();

        // Extract state definitions
        let state_pattern = regex::Regex::new(r"(state|State)\s*:?\s*([A-Z][a-zA-Z_]*)").unwrap();
        for cap in state_pattern.captures_iter(content) {
            elements.states.insert(cap[2].to_string());
        }

        // Extract transitions
        let transition_pattern = regex::Regex::new(
            r"(transition|Transition|->|=>)\s*:?\s*([A-Z][a-zA-Z_]*)\s*(to|->)\s*([A-Z][a-zA-Z_]*)",
        )
        .unwrap();
        for cap in transition_pattern.captures_iter(content) {
            elements
                .transitions
                .insert((cap[2].to_string(), cap[4].to_string()));
        }

        // Extract conditions and decision points
        let condition_pattern =
            regex::Regex::new(r"(if|when|condition|Condition)\s*[:\(]?\s*([^,\n]+)").unwrap();
        for cap in condition_pattern.captures_iter(content) {
            elements.conditions.insert(cap[2].trim().to_string());
        }

        // Extract actions and operations
        let action_pattern = regex::Regex::new(
            r"(action|Action|execute|Execute|perform|Perform)\s*[:\(]?\s*([A-Za-z_][A-Za-z0-9_]*)",
        )
        .unwrap();
        for cap in action_pattern.captures_iter(content) {
            elements.actions.insert(cap[2].to_string());
        }

        // Extract validation rules
        let validation_pattern = regex::Regex::new(
            r"(validate|Validate|check|Check)\s*[:\(]?\s*([A-Za-z_][A-Za-z0-9_]*)",
        )
        .unwrap();
        for cap in validation_pattern.captures_iter(content) {
            elements.validations.insert(cap[2].to_string());
        }

        // Extract error handling
        let error_pattern = regex::Regex::new(
            r"(error|Error|exception|Exception|catch|Catch)\s*[:\(]?\s*([A-Za-z_][A-Za-z0-9_]*)",
        )
        .unwrap();
        for cap in error_pattern.captures_iter(content) {
            elements.error_handling.insert(cap[2].to_string());
        }

        // Detect simulation patterns
        if content.contains("simulate")
            || content.contains("simulation")
            || content.contains("mock")
        {
            elements.has_simulation_indicators = true;
        }

        if content.contains("deterministic") || content.contains("repeatable") {
            elements.deterministic_behavior = true;
        }

        if content.contains("random") || content.contains("stochastic") {
            elements.has_randomness = true;
        }

        if content.contains("test") || content.contains("validation") {
            elements.has_testing_framework = true;
        }

        Ok(elements)
    }

    /// Validate logic flow structure
    async fn validate_logic_flow(
        &self,
        elements: &SimulationElements,
        _config: &ValidationConfig,
    ) -> Result<LogicValidationResult, VIBEError> {
        let mut score: f32 = 100.0;
        let mut issues = Vec::new();
        let complexity_score = self.calculate_logic_complexity(elements);

        // Check for proper state definitions
        if elements.states.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Critical,
                category: IssueCategory::LogicError,
                description: "No states defined in simulation".to_string(),
                location: None,
                suggestion: Some("Define simulation states clearly".to_string()),
            });
            score -= 30.0;
        }

        // Check for proper state transitions
        if elements.transitions.is_empty() && !elements.states.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::High,
                category: IssueCategory::LogicError,
                description: "No state transitions defined".to_string(),
                location: None,
                suggestion: Some("Define transitions between states".to_string()),
            });
            score -= 20.0;
        }

        // Check for dangling states (states with no transitions)
        let mut dangling_states = Vec::new();
        for state in &elements.states {
            let has_outgoing = elements.transitions.iter().any(|(from, _)| from == state);
            let has_incoming = elements.transitions.iter().any(|(_, to)| to == state);

            if !has_outgoing && !has_incoming {
                dangling_states.push(state.clone());
            }
        }

        if !dangling_states.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: format!("Dangling states detected: {}", dangling_states.join(", ")),
                location: None,
                suggestion: Some("Connect dangling states or remove unused states".to_string()),
            });
            score -= (dangling_states.len() as f32 * 5.0).min(20.0);
        }

        // Check for circular dependencies (potential infinite loops)
        let has_cycles = self.detect_cycles(&elements.transitions);
        if has_cycles {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::High,
                category: IssueCategory::LogicError,
                description: "Potential circular dependencies detected".to_string(),
                location: None,
                suggestion: Some("Review logic flow for circular dependencies".to_string()),
            });
            score -= 15.0;
        }

        // Check logic complexity
        if complexity_score > 7.0 {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Low,
                category: IssueCategory::LogicError,
                description: format!("High logic complexity score: {:.1}", complexity_score),
                location: None,
                suggestion: Some("Consider simplifying complex logic paths".to_string()),
            });
            score -= 5.0;
        }

        Ok(LogicValidationResult {
            score: score.clamp(0.0, 100.0),
            issues,
            complexity_score,
        })
    }

    /// Validate state management consistency
    async fn validate_state_management(
        &self,
        elements: &SimulationElements,
        _config: &ValidationConfig,
    ) -> Result<StateValidationResult, VIBEError> {
        let mut score: f32 = 100.0;
        let mut issues = Vec::new();
        let transition_count = elements.transitions.len();

        // Check for proper state validation
        if elements.validations.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: "No state validation rules found".to_string(),
                location: None,
                suggestion: Some("Add state validation rules".to_string()),
            });
            score -= 10.0;
        }

        // Check for error handling
        if elements.error_handling.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::ErrorHandling,
                description: "No error handling mechanisms found".to_string(),
                location: None,
                suggestion: Some("Implement error handling for state transitions".to_string()),
            });
            score -= 15.0;
        }

        // Check for state consistency
        let inconsistent_transitions = self.find_inconsistent_transitions(elements);
        if !inconsistent_transitions.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::High,
                category: IssueCategory::LogicError,
                description: format!(
                    "Inconsistent transitions detected: {}",
                    inconsistent_transitions.join(", ")
                ),
                location: None,
                suggestion: Some("Review transition logic for consistency".to_string()),
            });
            score -= 20.0;
        }

        // Check for proper state initialization
        if !self.has_proper_initialization(elements) {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: "No clear state initialization detected".to_string(),
                location: None,
                suggestion: Some("Define proper state initialization".to_string()),
            });
            score -= 10.0;
        }

        Ok(StateValidationResult {
            score: score.clamp(0.0, 100.0),
            issues,
            transition_count,
        })
    }

    /// Validate decision tree structure and logic
    async fn validate_decision_trees(
        &self,
        elements: &SimulationElements,
        _config: &ValidationConfig,
    ) -> Result<DecisionValidationResult, VIBEError> {
        let mut score: f32 = 100.0;
        let mut issues = Vec::new();
        let max_depth = self.calculate_decision_depth(elements);

        // Check for decision conditions
        if elements.conditions.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::High,
                category: IssueCategory::LogicError,
                description: "No decision conditions found".to_string(),
                location: None,
                suggestion: Some("Define clear decision conditions".to_string()),
            });
            score -= 20.0;
        }

        // Check decision tree depth
        if max_depth > 5 {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Low,
                category: IssueCategory::LogicError,
                description: format!("Deep decision tree detected (depth: {})", max_depth),
                location: None,
                suggestion: Some("Consider flattening deep decision trees".to_string()),
            });
            score -= 5.0;
        } else if max_depth == 0 {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: "No decision tree structure detected".to_string(),
                location: None,
                suggestion: Some("Implement decision tree logic".to_string()),
            });
            score -= 15.0;
        }

        // Check for incomplete decisions
        let incomplete_decisions = self.find_incomplete_decisions(elements);
        if !incomplete_decisions.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: format!("Incomplete decisions: {}", incomplete_decisions.join(", ")),
                location: None,
                suggestion: Some("Complete all decision branches".to_string()),
            });
            score -= 10.0;
        }

        // Check for ambiguous conditions
        let ambiguous_conditions = self.find_ambiguous_conditions(elements);
        if !ambiguous_conditions.is_empty() {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: format!("Ambiguous conditions: {}", ambiguous_conditions.join(", ")),
                location: None,
                suggestion: Some("Clarify ambiguous decision conditions".to_string()),
            });
            score -= 8.0;
        }

        Ok(DecisionValidationResult {
            score: score.clamp(0.0, 100.0),
            issues,
            max_depth,
        })
    }

    /// Validate edge case handling
    async fn validate_edge_cases(
        &self,
        elements: &SimulationElements,
        _config: &ValidationConfig,
    ) -> Result<EdgeCaseValidationResult, VIBEError> {
        let mut score: f32 = 100.0;
        let mut issues = Vec::new();
        let covered_count = self.count_edge_cases_covered(elements);

        // Check for boundary conditions
        if !self.has_boundary_conditions(elements) {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: "No boundary condition handling detected".to_string(),
                location: None,
                suggestion: Some("Add boundary condition validation".to_string()),
            });
            score -= 15.0;
        }

        // Check for error scenarios
        if !self.has_error_scenarios(elements) {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::ErrorHandling,
                description: "No error scenario handling detected".to_string(),
                location: None,
                suggestion: Some("Implement error scenario handling".to_string()),
            });
            score -= 15.0;
        }

        // Check for timeout handling
        if !self.has_timeout_handling(elements) {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Low,
                category: IssueCategory::ErrorHandling,
                description: "No timeout handling detected".to_string(),
                location: None,
                suggestion: Some("Consider adding timeout handling".to_string()),
            });
            score -= 8.0;
        }

        // Check for concurrent access issues
        if elements.has_randomness && !self.has_concurrency_handling(elements) {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: "Randomness detected but no concurrency handling".to_string(),
                location: None,
                suggestion: Some("Add concurrency handling for random operations".to_string()),
            });
            score -= 12.0;
        }

        Ok(EdgeCaseValidationResult {
            score: score.clamp(0.0, 100.0),
            issues,
            covered_count,
        })
    }

    /// Validate simulation completeness
    async fn validate_completeness(
        &self,
        elements: &SimulationElements,
        _config: &ValidationConfig,
    ) -> Result<CompletenessValidationResult, VIBEError> {
        let mut score: f32 = 100.0;
        let mut issues = Vec::new();
        let completeness_percentage = self.calculate_completeness(elements);

        if completeness_percentage < 70.0 {
            issues.push(ValidationIssue {
                platform: Platform::Simulation,
                severity: Severity::Medium,
                category: IssueCategory::LogicError,
                description: format!(
                    "Simulation completeness at {}% (below 70% threshold)",
                    completeness_percentage
                ),
                location: None,
                suggestion: Some("Add missing simulation components".to_string()),
            });
            score = completeness_percentage;
        }

        // Check for required simulation components
        let required_components = vec![
            (!elements.states.is_empty(), "States"),
            (!elements.transitions.is_empty(), "Transitions"),
            (!elements.conditions.is_empty(), "Conditions"),
            (!elements.actions.is_empty(), "Actions"),
            (!elements.validations.is_empty(), "Validations"),
        ];

        for (has_component, component_name) in required_components {
            if !has_component {
                issues.push(ValidationIssue {
                    platform: Platform::Simulation,
                    severity: Severity::Medium,
                    category: IssueCategory::LogicError,
                    description: format!("Missing required component: {}", component_name),
                    location: None,
                    suggestion: Some(format!("Add {}", component_name)),
                });
                score -= 10.0;
            }
        }

        Ok(CompletenessValidationResult {
            score: score.clamp(0.0, 100.0),
            issues,
            completeness_percentage,
        })
    }

    // Helper methods
    fn calculate_logic_complexity(&self, elements: &SimulationElements) -> f32 {
        let state_complexity = elements.states.len() as f32 * 0.5;
        let transition_complexity = elements.transitions.len() as f32 * 0.3;
        let condition_complexity = elements.conditions.len() as f32 * 0.2;

        state_complexity + transition_complexity + condition_complexity
    }

    fn detect_cycles(&self, transitions: &HashSet<(String, String)>) -> bool {
        // Simple cycle detection using graph traversal
        let mut visited = HashSet::new();
        let mut recursion_stack = HashSet::new();

        for (from, _) in transitions {
            if self.has_cycle_from(from, transitions, &mut visited, &mut recursion_stack) {
                return true;
            }
        }

        false
    }

    #[allow(clippy::only_used_in_recursion)]
    fn has_cycle_from(
        &self,
        current: &str,
        transitions: &HashSet<(String, String)>,
        visited: &mut HashSet<String>,
        recursion_stack: &mut HashSet<String>,
    ) -> bool {
        if recursion_stack.contains(current) {
            return true;
        }

        if visited.contains(current) {
            return false;
        }

        visited.insert(current.to_string());
        recursion_stack.insert(current.to_string());

        for (from, to) in transitions {
            if from == current && self.has_cycle_from(to, transitions, visited, recursion_stack) {
                return true;
            }
        }

        recursion_stack.remove(current);
        false
    }

    fn find_inconsistent_transitions(&self, elements: &SimulationElements) -> Vec<String> {
        let mut inconsistencies = Vec::new();

        // Check for transitions that lead to undefined states
        for (from, to) in &elements.transitions {
            if !elements.states.contains(to) {
                inconsistencies.push(format!("Transition to undefined state: {} -> {}", from, to));
            }
        }

        inconsistencies
    }

    fn has_proper_initialization(&self, elements: &SimulationElements) -> bool {
        elements.states.contains("Initial")
            || elements.states.contains("Start")
            || elements.states.contains("Ready")
            || elements.validations.contains("initialization")
    }

    fn calculate_decision_depth(&self, elements: &SimulationElements) -> usize {
        // Simple heuristic for decision depth based on condition nesting
        let max_nested_conditions = elements
            .conditions
            .iter()
            .map(|c| c.matches("&&|\\|\\|").count())
            .max()
            .unwrap_or(0);

        max_nested_conditions + 1
    }

    fn find_incomplete_decisions(&self, elements: &SimulationElements) -> Vec<String> {
        let mut incomplete = Vec::new();

        // Check for conditions without corresponding actions
        for condition in &elements.conditions {
            let condition_base = condition.split("&&|\\|\\|").next().unwrap_or(condition);
            if !elements
                .actions
                .iter()
                .any(|action| action.contains(condition_base))
            {
                incomplete.push(condition_base.trim().to_string());
            }
        }

        incomplete
    }

    fn find_ambiguous_conditions(&self, elements: &SimulationElements) -> Vec<String> {
        let mut ambiguous = Vec::new();

        for condition in &elements.conditions {
            // Check for vague conditions
            if condition.to_lowercase().contains("maybe")
                || condition.to_lowercase().contains("possibly")
                || condition.to_lowercase().contains("probably")
            {
                ambiguous.push(condition.clone());
            }
        }

        ambiguous
    }

    fn has_boundary_conditions(&self, elements: &SimulationElements) -> bool {
        elements.validations.iter().any(|v| {
            v.to_lowercase().contains("min")
                || v.to_lowercase().contains("max")
                || v.to_lowercase().contains("boundary")
        })
    }

    fn has_error_scenarios(&self, elements: &SimulationElements) -> bool {
        !elements.error_handling.is_empty()
            || elements
                .validations
                .iter()
                .any(|v| v.to_lowercase().contains("error"))
    }

    fn has_timeout_handling(&self, elements: &SimulationElements) -> bool {
        elements
            .validations
            .iter()
            .any(|v| v.to_lowercase().contains("timeout"))
    }

    fn has_concurrency_handling(&self, elements: &SimulationElements) -> bool {
        elements.validations.iter().any(|v| {
            v.to_lowercase().contains("lock")
                || v.to_lowercase().contains("sync")
                || v.to_lowercase().contains("concurrent")
        })
    }

    fn count_edge_cases_covered(&self, elements: &SimulationElements) -> usize {
        let mut count = 0;

        if self.has_boundary_conditions(elements) {
            count += 1;
        }
        if self.has_error_scenarios(elements) {
            count += 1;
        }
        if self.has_timeout_handling(elements) {
            count += 1;
        }
        if elements.has_testing_framework {
            count += 1;
        }
        if elements.deterministic_behavior {
            count += 1;
        }

        count
    }

    fn calculate_completeness(&self, elements: &SimulationElements) -> f32 {
        let mut score = 0.0;
        let total_checks = 8;

        if !elements.states.is_empty() {
            score += 1.0;
        }
        if !elements.transitions.is_empty() {
            score += 1.0;
        }
        if !elements.conditions.is_empty() {
            score += 1.0;
        }
        if !elements.actions.is_empty() {
            score += 1.0;
        }
        if !elements.validations.is_empty() {
            score += 1.0;
        }
        if !elements.error_handling.is_empty() {
            score += 1.0;
        }
        if elements.has_simulation_indicators {
            score += 1.0;
        }
        if elements.has_testing_framework {
            score += 1.0;
        }

        (score / total_checks as f32) * 100.0
    }

    fn calculate_simulation_score(
        &self,
        scores: &[&dyn SimulationScoreComponent],
    ) -> Result<f32, VIBEError> {
        if scores.is_empty() {
            return Err(VIBEError::ValidationError(
                "No validation components provided".to_string(),
            ));
        }

        let weights = [0.25, 0.20, 0.20, 0.20, 0.15]; // Logic, State, Decision, Edge Case, Completeness

        let mut weighted_sum = 0.0;
        let mut total_weight = 0.0;

        for (i, component) in scores.iter().enumerate() {
            if i < weights.len() {
                let score = component.get_score();
                let weight = weights[i];
                weighted_sum += score * weight;
                total_weight += weight;
            }
        }

        Ok(weighted_sum / total_weight)
    }

    fn generate_simulation_recommendations(
        &self,
        issues: &[ValidationIssue],
        overall_score: f32,
    ) -> Result<Vec<String>, VIBEError> {
        let mut recommendations = Vec::new();

        if overall_score < 70.0 {
            recommendations.push("Improve simulation logic flow and state management".to_string());
        }

        let logic_issues = issues
            .iter()
            .filter(|i| i.category == IssueCategory::LogicError && i.description.contains("state"))
            .count();

        if logic_issues > 0 {
            recommendations.push("Focus on state management improvements".to_string());
        }

        let error_issues = issues
            .iter()
            .filter(|i| i.category == IssueCategory::ErrorHandling)
            .count();

        if error_issues > 0 {
            recommendations.push("Enhance error handling and edge case coverage".to_string());
        }

        if overall_score < 60.0 {
            recommendations.push("Implement comprehensive testing framework".to_string());
            recommendations.push("Add deterministic behavior controls".to_string());
        }

        Ok(recommendations)
    }
}

// Implement PlatformValidator trait
#[async_trait::async_trait]
impl PlatformValidator for SimulationValidator {
    async fn validate_protocol(
        &self,
        protocol_content: &str,
        config: &ValidationConfig,
        platform: Platform,
    ) -> Result<PlatformValidationResult, VIBEError> {
        if platform != Platform::Simulation {
            return Err(VIBEError::PlatformError(
                "SimulationValidator can only validate Simulation platform protocols".to_string(),
            ));
        }

        // Perform common validation first
        let common_result = self
            .base
            .perform_common_validation(protocol_content, config)
            .await?;

        // Perform simulation-specific validation
        let simulation_result = self
            .validate_simulation_protocol(protocol_content, config)
            .await?;

        // Combine results
        let final_score = (common_result.score + simulation_result.overall_score) / 2.0;

        let mut all_issues = common_result.issues;
        all_issues.extend(simulation_result.issues);

        let recommendations = self.generate_simulation_recommendations(&all_issues, final_score)?;

        Ok(PlatformValidationResult {
            platform: Platform::Simulation,
            score: final_score,
            status: if final_score >= config.minimum_score {
                ValidationStatus::Passed
            } else {
                ValidationStatus::Failed
            },
            issues: all_issues,
            performance_metrics: PlatformPerformanceMetrics {
                average_response_time_ms: simulation_result.validation_time_ms,
                memory_usage_mb: 80,
                cpu_usage_percent: 20.0,
                error_rate_percent: 3.0,
                throughput_requests_per_second: 50.0,
            },
            recommendations,
        })
    }

    fn get_capabilities(&self) -> PlatformCapabilities {
        self.base.capabilities.clone()
    }

    fn get_requirements(&self) -> PlatformRequirements {
        self.base.requirements.clone()
    }

    fn estimate_complexity(&self, protocol_content: &str) -> ValidationComplexity {
        self.base
            .complexity_estimator
            .estimate_complexity(protocol_content)
    }

    fn get_scoring_criteria(&self) -> PlatformScoringCriteria {
        PlatformScoringCriteria {
            primary_criteria: vec![
                "Logic Flow Quality".to_string(),
                "State Management".to_string(),
                "Decision Tree Structure".to_string(),
            ],
            secondary_criteria: vec![
                "Edge Case Coverage".to_string(),
                "Simulation Completeness".to_string(),
                "Error Handling".to_string(),
            ],
            penalty_factors: HashMap::from([
                ("dangling_states".to_string(), 0.15),
                ("circular_dependencies".to_string(), 0.2),
                ("incomplete_decisions".to_string(), 0.1),
            ]),
            bonus_factors: HashMap::from([
                ("comprehensive_testing".to_string(), 0.1),
                ("deterministic_behavior".to_string(), 0.05),
                ("edge_case_coverage".to_string(), 0.08),
            ]),
        }
    }
}

// Supporting data structures
#[derive(Debug, Default)]
struct SimulationElements {
    states: HashSet<String>,
    transitions: HashSet<(String, String)>,
    conditions: HashSet<String>,
    actions: HashSet<String>,
    validations: HashSet<String>,
    error_handling: HashSet<String>,
    has_simulation_indicators: bool,
    deterministic_behavior: bool,
    has_randomness: bool,
    has_testing_framework: bool,
}

#[derive(Debug)]
struct LogicValidationResult {
    score: f32,
    issues: Vec<ValidationIssue>,
    complexity_score: f32,
}

#[derive(Debug)]
struct StateValidationResult {
    score: f32,
    issues: Vec<ValidationIssue>,
    transition_count: usize,
}

#[derive(Debug)]
struct DecisionValidationResult {
    score: f32,
    issues: Vec<ValidationIssue>,
    max_depth: usize,
}

#[derive(Debug)]
struct EdgeCaseValidationResult {
    score: f32,
    issues: Vec<ValidationIssue>,
    covered_count: usize,
}

#[derive(Debug)]
struct CompletenessValidationResult {
    score: f32,
    issues: Vec<ValidationIssue>,
    completeness_percentage: f32,
}

#[derive(Debug)]
struct SimulationValidationResult {
    overall_score: f32,
    #[allow(dead_code)]
    logic_score: f32,
    #[allow(dead_code)]
    state_score: f32,
    #[allow(dead_code)]
    decision_score: f32,
    #[allow(dead_code)]
    edge_case_score: f32,
    #[allow(dead_code)]
    completeness_score: f32,
    validation_time_ms: u64,
    issues: Vec<ValidationIssue>,
    #[allow(dead_code)]
    recommendations: Vec<String>,
    #[allow(dead_code)]
    simulation_metrics: SimulationMetrics,
}

#[derive(Debug, Clone, Serialize, Deserialize)]
struct SimulationMetrics {
    logic_complexity: f32,
    state_transitions: usize,
    decision_depth: usize,
    edge_cases_covered: usize,
    simulation_completeness: f32,
}

/// Trait for simulation score components
trait SimulationScoreComponent {
    fn get_score(&self) -> f32;
}

impl SimulationScoreComponent for LogicValidationResult {
    fn get_score(&self) -> f32 {
        self.score
    }
}

impl SimulationScoreComponent for StateValidationResult {
    fn get_score(&self) -> f32 {
        self.score
    }
}

impl SimulationScoreComponent for DecisionValidationResult {
    fn get_score(&self) -> f32 {
        self.score
    }
}

impl SimulationScoreComponent for EdgeCaseValidationResult {
    fn get_score(&self) -> f32 {
        self.score
    }
}

impl SimulationScoreComponent for CompletenessValidationResult {
    fn get_score(&self) -> f32 {
        self.score
    }
}

// Mock implementations
struct LogicFlowAnalyzer;
struct StateValidator;
struct DecisionTreeAnalyzer;
struct SimulationEngine;

impl LogicFlowAnalyzer {
    fn new() -> Self {
        Self
    }
}

impl StateValidator {
    fn new() -> Self {
        Self
    }
}

impl DecisionTreeAnalyzer {
    fn new() -> Self {
        Self
    }
}

impl SimulationEngine {
    fn new() -> Self {
        Self
    }
}

#[cfg(test)]
mod tests {
    use super::*;

    #[test]
    fn test_simulation_validator_creation() {
        let validator = SimulationValidator::new();
        assert_eq!(validator.base.platform, Platform::Simulation);
    }

    #[test]
    fn test_simulation_elements_extraction() {
        let validator = SimulationValidator::new();
        let content =
            "State: Initial -> State: Processing\nIf condition: user_input\nAction: validate_input";

        let elements = validator.extract_simulation_elements(content).unwrap();
        assert!(elements.states.contains("Initial"));
        assert!(elements.states.contains("Processing"));
        assert!(elements.conditions.contains("user_input"));
        assert!(elements.actions.contains("validate_input"));
    }

    #[test]
    fn test_logic_complexity_calculation() {
        let validator = SimulationValidator::new();
        let elements = SimulationElements {
            states: HashSet::from(["Initial".to_string(), "Processing".to_string()]),
            transitions: HashSet::from([("Initial".to_string(), "Processing".to_string())]),
            conditions: HashSet::from(["condition1".to_string(), "condition2".to_string()]),
            actions: HashSet::new(),
            validations: HashSet::new(),
            error_handling: HashSet::new(),
            has_simulation_indicators: true,
            deterministic_behavior: false,
            has_randomness: false,
            has_testing_framework: false,
        };

        let complexity = validator.calculate_logic_complexity(&elements);
        assert!(complexity > 0.0);
    }
}