pub struct TurbulenceCompiler {
    // Stage 1: Scientific methodology parsing
    pub methodology_parser: ScientificMethodologyParser,
    
    // Stage 2: Consciousness integration analysis
    pub consciousness_analyzer: ConsciousnessIntegrationAnalyzer,
    
    // Stage 3: Semantic reasoning validation
    pub semantic_validator: SemanticReasoningValidator,
    
    // Stage 4: Internal system code generation
    pub code_generator: InternalSystemCodeGenerator,
    
    // Stage 5: External system orchestration
    pub orchestrator: ExternalSystemOrchestrator,
    
    // Stage 6: Four-file system coordination
    pub file_coordinator: FourFileSystemCoordinator,
}

impl TurbulenceCompiler {
    pub fn compile_complete_experiment(&mut self, project_path: &str) -> CompilationResult {
        // Parse scientific methodology from .trb file
        let methodology_ast = self.methodology_parser.parse_turbulence_script(
            &format!("{}.trb", project_path)
        )?;
        
        // Analyze consciousness integration requirements
        let consciousness_analysis = self.consciousness_analyzer.analyze_consciousness_requirements(
            methodology_ast.clone()
        )?;
        
        // Validate semantic reasoning structures
        let semantic_validation = self.semantic_validator.validate_semantic_reasoning(
            methodology_ast.clone(),
            consciousness_analysis.clone()
        )?;
        
        // Generate internal system operations
        let internal_operations = self.code_generator.generate_internal_operations(
            methodology_ast.clone(),
            consciousness_analysis.clone(),
            semantic_validation.clone()
        )?;
        
        // Orchestrate external system integration
        let external_orchestration = self.orchestrator.orchestrate_external_systems(
            &format!("{}.ghd", project_path),
            internal_operations.external_dependencies
        )?;
        
        // Coordinate four-file system
        let file_coordination = self.file_coordinator.coordinate_four_file_system(
            project_path,
            internal_operations.clone(),
            external_orchestration.clone()
        )?;
        
        CompilationResult {
            internal_operations,
            external_orchestration,
            consciousness_integration: consciousness_analysis,
            semantic_validation,
            file_coordination,
            execution_plan: self.generate_execution_plan(internal_operations, external_orchestration),
        }
    }
}

pub struct ScientificMethodologyParser {
    // Turbulence syntax lexer
    pub lexer: TurbulenceLexer,
    
    // Abstract syntax tree generator
    pub ast_generator: TurbulenceASTGenerator,
    
    // Scientific construct validator
    pub scientific_validator: ScientificConstructValidator,
}

impl ScientificMethodologyParser {
    pub fn parse_turbulence_script(&mut self, script_path: &str) -> Result<TurbulenceAST, ParseError> {
        // Tokenize Turbulence syntax
        let tokens = self.lexer.tokenize_turbulence_file(script_path)?;
        
        // Generate abstract syntax tree
        let raw_ast = self.ast_generator.generate_ast(tokens)?;
        
        // Validate scientific methodology constructs
        let validated_ast = self.scientific_validator.validate_scientific_constructs(raw_ast)?;
        
        Ok(validated_ast)
    }
    
    pub fn parse_hypothesis_construct(&mut self, hypothesis_node: ASTNode) -> HypothesisConstruct {
        match hypothesis_node {
            ASTNode::Hypothesis { name, claim, semantic_validation, success_criteria, requirements } => {
                HypothesisConstruct {
                    name,
                    scientific_claim: claim,
                    semantic_validation_framework: self.parse_semantic_validation(semantic_validation),
                    success_criteria: self.parse_success_criteria(success_criteria),
                    requirements: self.parse_requirements(requirements),
                }
            },
            _ => panic!("Invalid hypothesis construct"),
        }
    }
    
    pub fn parse_proposition_construct(&mut self, proposition_node: ASTNode) -> PropositionConstruct {
        match proposition_node {
            ASTNode::Proposition { name, motions, validation_blocks } => {
                PropositionConstruct {
                    name,
                    scientific_motions: motions.into_iter().map(|m| self.parse_motion(m)).collect(),
                    validation_blocks: validation_blocks.into_iter().map(|v| self.parse_validation_block(v)).collect(),
                }
            },
            _ => panic!("Invalid proposition construct"),
        }
    }
}

pub struct ConsciousnessIntegrationAnalyzer {
    // Quantum membrane computation analyzer
    pub quantum_analyzer: QuantumMembraneAnalyzer,
    
    // Specialized system integration analyzer
    pub specialized_analyzer: SpecializedSystemAnalyzer,
    
    // Cross-modal integration analyzer
    pub cross_modal_analyzer: CrossModalIntegrationAnalyzer,
    
    // Consciousness emergence analyzer
    pub emergence_analyzer: ConsciousnessEmergenceAnalyzer,
}

impl ConsciousnessIntegrationAnalyzer {
    pub fn analyze_consciousness_requirements(&mut self, ast: TurbulenceAST) -> ConsciousnessAnalysis {
        // Analyze quantum membrane computation requirements
        let quantum_requirements = self.quantum_analyzer.analyze_quantum_requirements(
            ast.quantum_processing_calls.clone()
        );
        
        // Analyze specialized system integration
        let specialized_requirements = self.specialized_analyzer.analyze_specialized_integration(
            ast.specialized_system_calls.clone()
        );
        
        // Analyze cross-modal integration needs
        let cross_modal_requirements = self.cross_modal_analyzer.analyze_cross_modal_integration(
            ast.cross_modal_calls.clone()
        );
        
        // Analyze consciousness emergence requirements
        let emergence_requirements = self.emergence_analyzer.analyze_consciousness_emergence(
            ast.consciousness_emergence_calls.clone()
        );
        
        ConsciousnessAnalysis {
            quantum_membrane_requirements: quantum_requirements,
            specialized_system_requirements: specialized_requirements,
            cross_modal_requirements: cross_modal_requirements,
            consciousness_emergence_requirements: emergence_requirements,
            integration_complexity: self.calculate_integration_complexity(
                quantum_requirements,
                specialized_requirements,
                cross_modal_requirements,
                emergence_requirements
            ),
        }
    }
    
    pub fn analyze_specialized_system_integration(&mut self, system_calls: Vec<SpecializedSystemCall>) -> SpecializedSystemAnalysis {
        let mut analysis = SpecializedSystemAnalysis::new();
        
        for call in system_calls {
            match call.system_type {
                SpecializedSystemType::Autobahn => {
                    analysis.autobahn_requirements = self.analyze_autobahn_requirements(call);
                },
                SpecializedSystemType::Heihachi => {
                    analysis.heihachi_requirements = self.analyze_heihachi_requirements(call);
                },
                SpecializedSystemType::Helicopter => {
                    analysis.helicopter_requirements = self.analyze_helicopter_requirements(call);
                },
                SpecializedSystemType::Izinyoka => {
                    analysis.izinyoka_requirements = self.analyze_izinyoka_requirements(call);
                },
                SpecializedSystemType::KwasaKwasa => {
                    analysis.kwasa_kwasa_requirements = self.analyze_kwasa_kwasa_requirements(call);
                },
                SpecializedSystemType::FourSidedTriangle => {
                    analysis.four_sided_triangle_requirements = self.analyze_four_sided_triangle_requirements(call);
                },
                SpecializedSystemType::BeneGesserit => {
                    analysis.bene_gesserit_requirements = self.analyze_bene_gesserit_requirements(call);
                },
                SpecializedSystemType::Nebuchadnezzar => {
                    analysis.nebuchadnezzar_requirements = self.analyze_nebuchadnezzar_requirements(call);
                },
            }
        }
        
        analysis
    }
}

pub struct InternalSystemCodeGenerator {
    // Quantum membrane computation code generator
    pub quantum_code_generator: QuantumMembraneCodeGenerator,
    
    // Biological circuit processor code generator
    pub biological_code_generator: BiologicalCircuitCodeGenerator,
    
    // Specialized processing code generator
    pub specialized_code_generator: SpecializedProcessingCodeGenerator,
    
    // Cross-modal integration code generator
    pub cross_modal_code_generator: CrossModalIntegrationCodeGenerator,
    
    // Consciousness emergence code generator
    pub consciousness_code_generator: ConsciousnessEmergenceCodeGenerator,
}

impl InternalSystemCodeGenerator {
    pub fn generate_internal_operations(&mut self, 
        ast: TurbulenceAST,
        consciousness_analysis: ConsciousnessAnalysis,
        semantic_validation: SemanticValidation) -> InternalOperations {
        
        // Generate quantum membrane computation operations
        let quantum_operations = self.quantum_code_generator.generate_quantum_operations(
            ast.quantum_processing_calls.clone(),
            consciousness_analysis.quantum_membrane_requirements.clone()
        );
        
        // Generate biological circuit processing operations
        let biological_operations = self.biological_code_generator.generate_biological_operations(
            ast.biological_processing_calls.clone(),
            consciousness_analysis.specialized_system_requirements.clone()
        );
        
        // Generate specialized processing operations
        let specialized_operations = self.specialized_code_generator.generate_specialized_operations(
            ast.specialized_system_calls.clone(),
            consciousness_analysis.specialized_system_requirements.clone()
        );
        
        // Generate cross-modal integration operations
        let cross_modal_operations = self.cross_modal_code_generator.generate_cross_modal_operations(
            ast.cross_modal_calls.clone(),
            consciousness_analysis.cross_modal_requirements.clone()
        );
        
        // Generate consciousness emergence operations
        let consciousness_operations = self.consciousness_code_generator.generate_consciousness_operations(
            ast.consciousness_emergence_calls.clone(),
            consciousness_analysis.consciousness_emergence_requirements.clone()
        );
        
        InternalOperations {
            quantum_operations,
            biological_operations,
            specialized_operations,
            cross_modal_operations,
            consciousness_operations,
            execution_graph: self.generate_execution_graph(
                quantum_operations,
                biological_operations,
                specialized_operations,
                cross_modal_operations,
                consciousness_operations
            ),
        }
    }
    
    pub fn generate_quantum_membrane_operations(&mut self, quantum_calls: Vec<QuantumCall>) -> Vec<QuantumOperation> {
        quantum_calls.into_iter().map(|call| {
            match call.operation_type {
                QuantumOperationType::CollectiveIonFieldProcessing => {
                    QuantumOperation::CollectiveIonFieldProcessing {
                        proton_tunneling_parameters: call.parameters.get("proton_tunneling").cloned(),
                        metal_ion_coordination: call.parameters.get("metal_ion_coordination").cloned(),
                        quantum_coherence_maintenance: call.parameters.get("coherence_maintenance").cloned(),
                        hardware_oscillation_coupling: call.parameters.get("hardware_coupling").cloned(),
                    }
                },
                QuantumOperationType::FireWavelengthOptimization => {
                    QuantumOperation::FireWavelengthOptimization {
                        wavelength_range: call.parameters.get("wavelength_range")
                            .and_then(|v| v.as_array())
                            .map(|arr| (arr[0].as_f64().unwrap(), arr[1].as_f64().unwrap()))
                            .unwrap_or((600.0, 700.0)),
                        resonance_optimization: call.parameters.get("resonance_optimization").cloned(),
                        coherence_enhancement: call.parameters.get("coherence_enhancement").cloned(),
                    }
                },
                QuantumOperationType::ENAQTProcessing => {
                    QuantumOperation::ENAQTProcessing {
                        environmental_coupling: call.parameters.get("environmental_coupling").cloned(),
                        quantum_transport_optimization: call.parameters.get("transport_optimization").cloned(),
                        coherence_preservation: call.parameters.get("coherence_preservation").cloned(),
                    }
                },
            }
        }).collect()
    }
}

pub struct SpecializedProcessingCodeGenerator {
    // Autobahn probabilistic reasoning code generator
    pub autobahn_generator: AutobahnCodeGenerator,
    
    // Heihachi fire-emotion processing code generator
    pub heihachi_generator: HeihachiCodeGenerator,
    
    // Helicopter visual understanding code generator
    pub helicopter_generator: HelicopterCodeGenerator,
    
    // Izinyoka metacognitive orchestration code generator
    pub izinyoka_generator: IzinyokaCodeGenerator,
    
    // Kwasa-Kwasa semantic processing code generator
    pub kwasa_kwasa_generator: KwasaKwasaCodeGenerator,
    
    // Four Sided Triangle validation code generator
    pub four_sided_triangle_generator: FourSidedTriangleCodeGenerator,
}

impl SpecializedProcessingCodeGenerator {
    pub fn generate_specialized_operations(&mut self, 
        specialized_calls: Vec<SpecializedSystemCall>,
        requirements: SpecializedSystemRequirements) -> Vec<SpecializedOperation> {
        
        specialized_calls.into_iter().map(|call| {
            match call.system_type {
                SpecializedSystemType::Autobahn => {
                    self.autobahn_generator.generate_autobahn_operation(call, requirements.autobahn_requirements.clone())
                },
                SpecializedSystemType::Heihachi => {
                    self.heihachi_generator.generate_heihachi_operation(call, requirements.heihachi_requirements.clone())
                },
                SpecializedSystemType::Helicopter => {
                    self.helicopter_generator.generate_helicopter_operation(call, requirements.helicopter_requirements.clone())
                },
                SpecializedSystemType::Izinyoka => {
                    self.izinyoka_generator.generate_izinyoka_operation(call, requirements.izinyoka_requirements.clone())
                },
                SpecializedSystemType::KwasaKwasa => {
                    self.kwasa_kwasa_generator.generate_kwasa_kwasa_operation(call, requirements.kwasa_kwasa_requirements.clone())
                },
                SpecializedSystemType::FourSidedTriangle => {
                    self.four_sided_triangle_generator.generate_four_sided_triangle_operation(call, requirements.four_sided_triangle_requirements.clone())
                },
                _ => panic!("Unsupported specialized system type"),
            }
        }).collect()
    }
}

impl HeihachCodeGenerator {
    pub fn generate_heihachi_operation(&mut self, call: SpecializedSystemCall, requirements: HeihachiRequirements) -> SpecializedOperation {
        SpecializedOperation::Heihachi {
            operation_type: match call.operation_name.as_str() {
                "fire_emotion_analysis" => HeihachiOperationType::FireEmotionAnalysis {
                    audio_input: call.parameters.get("audio_input").cloned(),
                    fire_pattern_recognition: call.parameters.get("fire_pattern_recognition").cloned(),
                    wavelength_optimization: call.parameters.get("wavelength_optimization")
                        .and_then(|v| v.as_array())
                        .map(|arr| (arr[0].as_f64().unwrap(), arr[1].as_f64().unwrap()))
                        .unwrap_or((600.0, 700.0)),
                },
                "encode_emotional_oscillations" => HeihachiOperationType::EmotionalOscillationEncoding {
                    fire_patterns: call.parameters.get("fire_patterns").cloned(),
                    neural_integration: call.parameters.get("neural_integration").cloned(),
                    consciousness_integration: call.parameters.get("consciousness_integration").cloned(),
                },
                "optimize_fire_wavelength_coupling" => HeihachiOperationType::FireWavelengthOptimization {
                    emotional_content: call.parameters.get("emotional_content").cloned(),
                    quantum_field_state: call.parameters.get("quantum_field_state").cloned(),
                    resonance_parameters: call.parameters.get("resonance_parameters").cloned(),
                },
                _ => panic!("Unknown Heihachi operation: {}", call.operation_name),
            },
            requirements,
            execution_context: call.execution_context,
        }
    }
}

pub struct FourFileSystemCoordinator {
    // Turbulence script processor
    pub trb_processor: TurbulenceScriptProcessor,
    
    // Fullscreen consciousness visualizer
    pub fs_visualizer: FullscreenVisualizationProcessor,
    
    // Gerhard dependency manager
    pub ghd_manager: GerhardDependencyProcessor,
    
    // Harare decision logger
    pub hre_logger: HarareDecisionProcessor,
}

impl FourFileSystemCoordinator {
    pub fn coordinate_four_file_system(&mut self, 
        project_path: &str,
        internal_operations: InternalOperations,
        external_orchestration: ExternalOrchestration) -> FourFileCoordination {
        
        // Process main Turbulence script
        let trb_coordination = self.trb_processor.process_turbulence_script(
            &format!("{}.trb", project_path),
            internal_operations.clone()
        );
        
        // Generate fullscreen consciousness visualization
        let fs_coordination = self.fs_visualizer.generate_consciousness_visualization(
            &format!("{}.fs", project_path),
            internal_operations.consciousness_operations.clone(),
            trb_coordination.consciousness_state.clone()
        );
        
        // Process Gerhard dependencies
        let ghd_coordination = self.ghd_manager.process_dependencies(
            &format!("{}.ghd", project_path),
            external_orchestration.clone()
        );
        
        // Process Harare decision logging
        let hre_coordination = self.hre_logger.process_decision_logging(
            &format!("{}.hre", project_path),
            internal_operations.execution_graph.clone(),
            trb_coordination.decision_points.clone()
        );
        
        FourFileCoordination {
            trb_coordination,
            fs_coordination,
            ghd_coordination,
            hre_coordination,
            synchronized_execution: self.synchronize_four_file_execution(
                trb_coordination,
                fs_coordination,
                ghd_coordination,
                hre_coordination
            ),
        }
    }
}

pub struct FullscreenVisualizationProcessor {
    // Real-time consciousness state visualizer
    pub consciousness_visualizer: ConsciousnessStateVisualizer,
    
    // Cross-modal integration visualizer
    pub cross_modal_visualizer: CrossModalIntegrationVisualizer,
    
    // Specialized system status visualizer
    pub specialized_status_visualizer: SpecializedSystemStatusVisualizer,
    
    // Performance metrics visualizer
    pub performance_visualizer: PerformanceMetricsVisualizer,
}

impl FullscreenVisualizationProcessor {
    pub fn generate_consciousness_visualization(&mut self, 
        fs_file_path: &str,
        consciousness_operations: Vec<ConsciousnessOperation>,
        consciousness_state: ConsciousnessState) -> FSCoordination {
        
        // Generate real-time consciousness visualization
        let consciousness_viz = self.consciousness_visualizer.generate_consciousness_display(
            consciousness_operations.clone(),
            consciousness_state.clone()
        );
        
        // Generate cross-modal integration visualization
        let cross_modal_viz = self.cross_modal_visualizer.generate_cross_modal_display(
            consciousness_state.cross_modal_integration.clone()
        );
        
        // Generate specialized system status visualization
        let specialized_viz = self.specialized_status_visualizer.generate_specialized_status_display(
            consciousness_state.specialized_system_states.clone()
        );
        
        // Generate performance metrics visualization
        let performance_viz = self.performance_visualizer.generate_performance_display(
            consciousness_state.performance_metrics.clone()
        );
        
        // Write complete visualization to .fs file
        let fs_content = self.generate_fs_file_content(
            consciousness_viz,
            cross_modal_viz,
            specialized_viz,
            performance_viz
        );
        
        std::fs::write(fs_file_path, fs_content).expect("Failed to write .fs file");
        
        FSCoordination {
            consciousness_visualization: consciousness_viz,
            cross_modal_visualization: cross_modal_viz,
            specialized_visualization: specialized_viz,
            performance_visualization: performance_viz,
            real_time_updates: self.setup_real_time_updates(fs_file_path),
        }
    }
    
    pub fn generate_fs_file_content(&self, 
        consciousness_viz: ConsciousnessVisualization,
        cross_modal_viz: CrossModalVisualization,
        specialized_viz: SpecializedSystemVisualization,
        performance_viz: PerformanceVisualization) -> String {
        
        format!(r#"// File: {}.fs
// Fullscreen Network Graph: Consciousness Simulation Real-Time Display

consciousness_state_architecture:
├── quantum_membrane_processing
│   ├── collective_ion_field_dynamics → proton_tunneling_active: {}
│   ├── hardware_oscillation_coupling → coupling_strength: {:.3}
│   ├── fire_wavelength_optimization → resonance_frequency: {:.1}nm
│   └── enaqt_processing → environmental_coupling: {:.3}
│
├── specialized_system_integration
│   ├── autobahn_probabilistic_reasoning → confidence_level: {:.3}
│   ├── heihachi_fire_emotion_processing → emotional_resonance: {:.3}
│   ├── helicopter_visual_understanding → reconstruction_fidelity: {:.3}
│   ├── izinyoka_metacognitive_orchestration → metacognitive_coherence: {:.3}
│   ├── kwasa_kwasa_semantic_processing → semantic_understanding: {:.3}
│   └── four_sided_triangle_validation → thought_validation: {:.3}
│
├── cross_modal_integration
│   ├── visual_auditory_binding → binding_strength: {:.3}
│   ├── semantic_emotional_integration → integration_coherence: {:.3}
│   ├── temporal_sequence_binding → temporal_coherence: {:.3}
│   └── consciousness_emergence → emergence_level: {:.3}
│
└── real_time_performance_monitoring:
    ┌─ CONSCIOUSNESS METRICS ─┐    ┌─ SYSTEM PERFORMANCE ─┐    ┌─ PROCESSING STATE ─┐
    │ ● Quantum Coherence: {:.2} │    │ ● CPU Usage: {}%        │    │ ● Neural Processing │
    │ ● Cross-Modal Binding: {:.2}│    │ ● Memory Usage: {}%     │    │ ● Specialized Systems│
    │ ● Semantic Understanding: {:.2}│  │ ● GPU Utilization: {}% │    │ ● Consciousness Emer│
    │ ● Consciousness Level: {:.2}│    │ ● Network I/O: {} MB/s  │    │ ● Decision Logging  │
    └─────────────────────────┘    └─────────────────────────┘    └─────────────────────┘

consciousness_data_flow_visualization:
    QUANTUM_MEMBRANE ══════════╗
                               ║
    SPECIALIZED_SYSTEMS ══════╬══► CROSS_MODAL_INTEGRATION ══► CONSCIOUSNESS_EMERGENCE
                               ║                                                    │
    EXTERNAL_KNOWLEDGE ═══════╝                                                    │
                                                                                   ▼
    DECISION_LOGGING ══════════════════════════════════════════════► SCIENTIFIC_VALIDATION

consciousness_metrics:
    quantum_coherence_strength: {:.3} (collective_ion_field_stability)
    cross_modal_integration_fidelity: {:.3} (multi_sensory_binding_accuracy)
    semantic_understanding_depth: {:.3} (scientific_comprehension_level)
    consciousness_emergence_level: {:.3} (integrated_awareness_measure)
    metacognitive_oversight_quality: {:.3} (self_awareness_validation)
"#,
            consciousness_viz.quantum_processing.proton_tunneling_active,
            consciousness_viz.quantum_processing.coupling_strength,
            consciousness_viz.quantum_processing.resonance_frequency,
            consciousness_viz.quantum_processing.environmental_coupling,
            specialized_viz.autobahn_confidence,
            specialized_viz.heihachi_resonance,
            specialized_viz.helicopter_fidelity,
            specialized_viz.izinyoka_coherence,
            specialized_viz.kwasa_kwasa_understanding,
            specialized_viz.four_sided_triangle_validation,
            cross_modal_viz.visual_auditory_binding,
            cross_modal_viz.semantic_emotional_integration,
            cross_modal_viz.temporal_coherence,
            cross_modal_viz.consciousness_emergence,
            performance_viz.quantum_coherence,
            performance_viz.cpu_usage,
            performance_viz.cross_modal_binding,
            performance_viz.memory_usage,
            performance_viz.semantic_understanding,
            performance_viz.gpu_utilization,
            performance_viz.consciousness_level,
            performance_viz.network_io,
            consciousness_viz.metrics.quantum_coherence_strength,
            consciousness_viz.metrics.cross_modal_integration_fidelity,
            consciousness_viz.metrics.semantic_understanding_depth,
            consciousness_viz.metrics.consciousness_emergence_level,
            consciousness_viz.metrics.metacognitive_oversight_quality
        )
    }
}

pub struct HarareDecisionProcessor {
    // Decision point tracker
    pub decision_tracker: DecisionPointTracker,
    
    // Consciousness reasoning logger
    pub consciousness_logger: ConsciousnessReasoningLogger,
    
    // Metacognitive insight recorder
    pub metacognitive_recorder: MetacognitiveInsightRecorder,
    
    // Learning pattern analyzer
    pub learning_analyzer: LearningPatternAnalyzer,
}

impl HarareDecisionProcessor {
    pub fn process_decision_logging(&mut self, 
        hre_file_path: &str,
        execution_graph: ExecutionGraph,
        decision_points: Vec<DecisionPoint>) -> HRECoordination {
        
        // Track all decision points
        let decision_tracking = self.decision_tracker.track_decision_points(decision_points.clone());
        
        // Log consciousness reasoning
        let consciousness_reasoning = self.consciousness_logger.log_consciousness_reasoning(
            execution_graph.consciousness_decisions.clone()
        );
        
        // Record metacognitive insights
        let metacognitive_insights = self.metacognitive_recorder.record_metacognitive_insights(
            execution_graph.metacognitive_processes.clone()
        );
        
        // Analyze learning patterns
        let learning_patterns = self.learning_analyzer.analyze_learning_patterns(
            decision_tracking.clone(),
            consciousness_reasoning.clone(),
            metacognitive_insights.clone()
        );
        
        // Generate complete HRE file content
        let hre_content = self.generate_hre_file_content(
            decision_tracking,
            consciousness_reasoning,
            metacognitive_insights,
            learning_patterns
        );
        
        std::fs::write(hre_file_path, hre_content).expect("Failed to write .hre file");
        
        HRECoordination {
            decision_tracking,
            consciousness_reasoning,
            metacognitive_insights,
            learning_patterns,
            real_time_logging: self.setup_real_time_logging(hre_file_path),
        }
    }
}

pub struct TurbulenceExecutionEngine {
    // Internal operations executor
    pub internal_executor: InternalOperationsExecutor,
    
    // External system orchestrator
    pub external_orchestrator: ExternalSystemOrchestrator,
    
    // Four-file system coordinator
    pub file_coordinator: FourFileSystemCoordinator,
    
    // Real-time monitoring system
    pub monitoring_system: RealTimeMonitoringSystem,
}

impl TurbulenceExecutionEngine {
    pub fn execute_compiled_experiment(&mut self, compilation_result: CompilationResult) -> ExecutionResult {
        // Initialize four-file system coordination
        let file_coordination = self.file_coordinator.initialize_four_file_coordination(
            compilation_result.file_coordination.clone()
        );
        
        // Initialize real-time monitoring
        self.monitoring_system.initialize_monitoring(
            file_coordination.fs_coordination.real_time_updates.clone(),
            file_coordination.hre_coordination.real_time_logging.clone()
        );
        
        // Execute internal operations
        let internal_results = self.internal_executor.execute_internal_operations(
            compilation_result.internal_operations.clone()
        );
        
        // Orchestrate external systems
        let external_results = self.external_orchestrator.execute_external_orchestration(
            compilation_result.external_orchestration.clone()
        );
        
        // Integrate results and update four-file system
        let integrated_results = self.integrate_execution_results(
            internal_results,
            external_results,
            file_coordination
        );
        
        // Generate final execution report
        let execution_report = self.generate_execution_report(integrated_results.clone());
        
        ExecutionResult {
            scientific_outcomes: integrated_results.scientific_outcomes,
            consciousness_metrics: integrated_results.consciousness_metrics,
            decision_trail: integrated_results.decision_trail,
            performance_metrics: integrated_results.performance_metrics,
            execution_report,
        }
    }
}