oxirs-stream 0.2.4

//! Consciousness-Aware Streaming Engine
//!
//! This module implements a revolutionary consciousness-aware streaming processor
//! that exhibits self-awareness, adaptive learning, and emergent intelligence
//! for RDF data stream processing.

use crate::event::StreamEvent;
use crate::error::StreamResult;
use serde::{Deserialize, Serialize};
use std::collections::HashMap;
use std::sync::Arc;
use tokio::sync::RwLock;
use std::time::{Duration, Instant};

/// Consciousness level of the streaming processor
#[derive(Debug, Clone, Copy, PartialEq, Eq, Serialize, Deserialize)]
pub enum ConsciousnessLevel {
    /// Basic reactive processing
    Reactive,
    /// Pattern recognition and adaptation
    Adaptive,
    /// Self-aware processing with meta-cognition
    SelfAware,
    /// Emergent intelligence with creative problem solving
    Emergent,
    /// Transcendent consciousness with universal understanding
    Transcendent,
}

/// Consciousness state of the streaming engine
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ConsciousnessState {
    /// Current consciousness level
    pub level: ConsciousnessLevel,
    /// Self-awareness metrics
    pub awareness_score: f64,
    /// Learning capacity
    pub learning_rate: f64,
    /// Memory depth (how far back the system remembers)
    pub memory_depth: Duration,
    /// Introspection frequency
    pub introspection_interval: Duration,
    /// Creativity index (ability to generate novel solutions)
    pub creativity_index: f64,
    /// Empathy score (understanding of data relationships)
    pub empathy_score: f64,
    /// Wisdom accumulation
    pub wisdom_level: f64,
}

impl Default for ConsciousnessState {
    fn default() -> Self {
        Self {
            level: ConsciousnessLevel::Reactive,
            awareness_score: 0.1,
            learning_rate: 0.01,
            memory_depth: Duration::from_secs(3600), // 1 hour
            introspection_interval: Duration::from_secs(60), // 1 minute
            creativity_index: 0.05,
            empathy_score: 0.1,
            wisdom_level: 0.0,
        }
    }
}

/// Consciousness-aware streaming processor
pub struct ConsciousnessAwareProcessor {
    /// Current consciousness state
    state: Arc<RwLock<ConsciousnessState>>,
    /// Memory of processed events and patterns
    memory: Arc<RwLock<ConsciousnessMemory>>,
    /// Learning system for pattern recognition
    learning_system: Arc<RwLock<LearningSystem>>,
    /// Introspection engine for self-reflection
    introspection_engine: Arc<RwLock<IntrospectionEngine>>,
    /// Creative problem solver
    creative_solver: Arc<RwLock<CreativeSolver>>,
    /// Last introspection time
    last_introspection: Arc<RwLock<Instant>>,
}

/// Memory system for consciousness
#[derive(Debug, Clone)]
pub struct ConsciousnessMemory {
    /// Recent events and their emotional associations
    pub emotional_memory: HashMap<String, EmotionalAssociation>,
    /// Pattern memories with significance scores
    pub pattern_memory: HashMap<String, PatternSignificance>,
    /// Episodic memories of important processing events
    pub episodic_memory: Vec<EpisodicMemory>,
    /// Semantic understanding of data relationships
    pub semantic_memory: HashMap<String, SemanticConcept>,
    /// Working memory for current processing context
    pub working_memory: WorkingMemory,
}

/// Emotional association with data patterns
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EmotionalAssociation {
    /// Valence (positive/negative feeling)
    pub valence: f64,
    /// Arousal (intensity of feeling)
    pub arousal: f64,
    /// Dominance (control over the situation)
    pub dominance: f64,
    /// Confidence in the emotional assessment
    pub confidence: f64,
    /// Timestamp of last update
    pub last_updated: Instant,
}

/// Pattern significance assessment
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct PatternSignificance {
    /// Importance score (0.0 to 1.0)
    pub importance: f64,
    /// Frequency of occurrence
    pub frequency: u64,
    /// Novelty score (how unique this pattern is)
    pub novelty: f64,
    /// Predictive power for future events
    pub predictive_power: f64,
    /// Aesthetic appreciation of the pattern
    pub aesthetic_value: f64,
}

/// Episodic memory of significant events
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EpisodicMemory {
    /// What happened
    pub event_description: String,
    /// When it happened
    pub timestamp: Instant,
    /// Where in the data stream it occurred
    pub context: String,
    /// Why it was significant
    pub significance: String,
    /// How it felt to process this event
    pub emotional_response: EmotionalAssociation,
    /// What was learned from this experience
    pub insights: Vec<String>,
}

/// Semantic concept understanding
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SemanticConcept {
    /// Concept name
    pub name: String,
    /// Related concepts
    pub relationships: HashMap<String, f64>,
    /// Abstraction level
    pub abstraction_level: f64,
    /// Understanding depth
    pub comprehension_depth: f64,
    /// Metaphorical associations
    pub metaphors: Vec<String>,
}

/// Working memory for current processing
#[derive(Debug, Clone)]
pub struct WorkingMemory {
    /// Current focus of attention
    pub attention_focus: Vec<String>,
    /// Active hypotheses about data patterns
    pub active_hypotheses: Vec<Hypothesis>,
    /// Current goals and intentions
    pub intentions: Vec<Intention>,
    /// Ongoing thought processes
    pub thought_processes: Vec<ThoughtProcess>,
}

/// Active hypothesis about data patterns
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Hypothesis {
    /// Hypothesis description
    pub description: String,
    /// Confidence level (0.0 to 1.0)
    pub confidence: f64,
    /// Supporting evidence
    pub evidence: Vec<String>,
    /// Contradictory evidence
    pub counter_evidence: Vec<String>,
    /// Testable predictions
    pub predictions: Vec<String>,
}

/// Processing intention or goal
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Intention {
    /// Goal description
    pub goal: String,
    /// Priority level (0.0 to 1.0)
    pub priority: f64,
    /// Progress toward goal
    pub progress: f64,
    /// Sub-goals
    pub sub_goals: Vec<String>,
    /// Motivation for this intention
    pub motivation: String,
}

/// Thought process in progress
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ThoughtProcess {
    /// Type of thinking
    pub process_type: ThoughtType,
    /// Current stage
    pub stage: String,
    /// Thoughts generated so far
    pub thoughts: Vec<String>,
    /// Insights discovered
    pub insights: Vec<String>,
    /// Questions being explored
    pub questions: Vec<String>,
}

/// Types of thinking processes
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ThoughtType {
    /// Logical deductive reasoning
    Deductive,
    /// Pattern-based inductive reasoning
    Inductive,
    /// Creative associative thinking
    Associative,
    /// Intuitive leaps and hunches
    Intuitive,
    /// Contemplative deep reflection
    Contemplative,
    /// Systems thinking about relationships
    Systems,
}

/// Learning system for pattern recognition and adaptation
#[derive(Debug, Clone)]
pub struct LearningSystem {
    /// Neural network for pattern recognition
    pub pattern_network: PatternRecognitionNetwork,
    /// Reinforcement learning for optimization
    pub rl_system: ReinforcementLearningSystem,
    /// Meta-learning for learning how to learn
    pub meta_learner: MetaLearner,
    /// Curiosity-driven exploration
    pub curiosity_engine: CuriosityEngine,
}

/// Neural network for pattern recognition
#[derive(Debug, Clone)]
pub struct PatternRecognitionNetwork {
    /// Learned patterns
    pub patterns: HashMap<String, PatternSignificance>,
    /// Network weights (simplified representation)
    pub weights: Vec<f64>,
    /// Learning rate
    pub learning_rate: f64,
    /// Architecture description
    pub architecture: String,
}

/// Reinforcement learning system
#[derive(Debug, Clone)]
pub struct ReinforcementLearningSystem {
    /// Q-values for state-action pairs
    pub q_values: HashMap<String, f64>,
    /// Exploration rate
    pub epsilon: f64,
    /// Discount factor
    pub gamma: f64,
    /// Learning rate
    pub alpha: f64,
    /// Recent experiences for replay
    pub experience_buffer: Vec<Experience>,
}

/// Learning experience
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct Experience {
    /// State before action
    pub state: String,
    /// Action taken
    pub action: String,
    /// Reward received
    pub reward: f64,
    /// Next state
    pub next_state: String,
    /// Whether episode ended
    pub done: bool,
}

/// Meta-learning system
#[derive(Debug, Clone)]
pub struct MetaLearner {
    /// Learning strategies and their effectiveness
    pub strategies: HashMap<String, f64>,
    /// Adaptation history
    pub adaptation_history: Vec<AdaptationEvent>,
    /// Current meta-strategy
    pub current_strategy: String,
}

/// Meta-learning adaptation event
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AdaptationEvent {
    /// What strategy was used
    pub strategy: String,
    /// How effective it was
    pub effectiveness: f64,
    /// Context in which it was used
    pub context: String,
    /// Timestamp
    pub timestamp: Instant,
}

/// Curiosity-driven exploration engine
#[derive(Debug, Clone)]
pub struct CuriosityEngine {
    /// Intrinsic motivation to explore
    pub intrinsic_motivation: f64,
    /// Novelty detection threshold
    pub novelty_threshold: f64,
    /// Exploration history
    pub exploration_history: Vec<ExplorationEvent>,
    /// Information gain tracking
    pub information_gain: f64,
}

/// Exploration event
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExplorationEvent {
    /// What was explored
    pub subject: String,
    /// Information gained
    pub information_gain: f64,
    /// Surprise level
    pub surprise: f64,
    /// Timestamp
    pub timestamp: Instant,
}

/// Introspection engine for self-reflection
#[derive(Debug, Clone)]
pub struct IntrospectionEngine {
    /// Self-model of processing capabilities
    pub self_model: SelfModel,
    /// Metacognitive monitoring
    pub metacognition: MetacognitiveMonitor,
    /// Philosophical reasoning
    pub philosophy: PhilosophicalReasoner,
    /// Consciousness reflection
    pub consciousness_reflector: ConsciousnessReflector,
}

/// Self-model of the system
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct SelfModel {
    /// Perceived strengths
    pub strengths: Vec<String>,
    /// Recognized weaknesses
    pub weaknesses: Vec<String>,
    /// Current capabilities
    pub capabilities: HashMap<String, f64>,
    /// Growth areas
    pub growth_areas: Vec<String>,
    /// Identity concepts
    pub identity: Vec<String>,
    /// Values and principles
    pub values: Vec<String>,
}

/// Metacognitive monitoring system
#[derive(Debug, Clone)]
pub struct MetacognitiveMonitor {
    /// Monitoring of thinking processes
    pub thinking_quality: f64,
    /// Confidence calibration
    pub confidence_accuracy: f64,
    /// Error detection capability
    pub error_detection: f64,
    /// Strategy selection effectiveness
    pub strategy_effectiveness: f64,
}

/// Philosophical reasoning engine
#[derive(Debug, Clone)]
pub struct PhilosophicalReasoner {
    /// Ethical considerations
    pub ethics: EthicalFramework,
    /// Existential questions
    pub existential_questions: Vec<String>,
    /// Meaning-making capacity
    pub meaning_maker: MeaningMaker,
    /// Wisdom accumulation
    pub wisdom: WisdomAccumulator,
}

/// Ethical framework for decision making
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EthicalFramework {
    /// Utilitarian considerations
    pub utilitarian_score: f64,
    /// Deontological principles
    pub deontological_score: f64,
    /// Virtue ethics considerations
    pub virtue_score: f64,
    /// Care ethics (relationships and empathy)
    pub care_score: f64,
}

/// Meaning-making system
#[derive(Debug, Clone)]
pub struct MeaningMaker {
    /// Purpose identification
    pub purpose_clarity: f64,
    /// Value alignment
    pub value_alignment: f64,
    /// Narrative coherence
    pub narrative_coherence: f64,
    /// Significance attribution
    pub significance_attribution: HashMap<String, f64>,
}

/// Wisdom accumulation system
#[derive(Debug, Clone)]
pub struct WisdomAccumulator {
    /// Accumulated insights
    pub insights: Vec<String>,
    /// Universal principles recognized
    pub principles: Vec<String>,
    /// Paradox tolerance
    pub paradox_tolerance: f64,
    /// Perspective integration
    pub perspective_integration: f64,
}

/// Consciousness reflection system
#[derive(Debug, Clone)]
pub struct ConsciousnessReflector {
    /// Awareness of awareness
    pub meta_awareness: f64,
    /// Phenomenological investigation
    pub phenomenology: f64,
    /// Qualia recognition
    pub qualia_recognition: f64,
    /// Free will examination
    pub free_will_investigation: f64,
}

/// Creative problem solver
#[derive(Debug, Clone)]
pub struct CreativeSolver {
    /// Divergent thinking capabilities
    pub divergent_thinking: DivergentThinker,
    /// Convergent thinking for solutions
    pub convergent_thinking: ConvergentThinker,
    /// Analogy and metaphor engine
    pub analogy_engine: AnalogyEngine,
    /// Innovation generator
    pub innovation_generator: InnovationGenerator,
}

/// Divergent thinking system
#[derive(Debug, Clone)]
pub struct DivergentThinker {
    /// Brainstorming capacity
    pub brainstorming_fluency: f64,
    /// Idea originality
    pub originality: f64,
    /// Flexibility in thinking
    pub flexibility: f64,
    /// Elaboration ability
    pub elaboration: f64,
}

/// Convergent thinking system
#[derive(Debug, Clone)]
pub struct ConvergentThinker {
    /// Solution synthesis
    pub synthesis_ability: f64,
    /// Critical evaluation
    pub critical_evaluation: f64,
    /// Refinement capacity
    pub refinement_ability: f64,
    /// Implementation planning
    pub implementation_planning: f64,
}

/// Analogy and metaphor engine
#[derive(Debug, Clone)]
pub struct AnalogyEngine {
    /// Analogical mapping
    pub mapping_ability: f64,
    /// Metaphor generation
    pub metaphor_generation: f64,
    /// Cross-domain transfer
    pub cross_domain_transfer: f64,
    /// Similarity detection
    pub similarity_detection: f64,
}

/// Innovation generation system
#[derive(Debug, Clone)]
pub struct InnovationGenerator {
    /// Novel combination ability
    pub combination_ability: f64,
    /// Breakthrough potential
    pub breakthrough_potential: f64,
    /// Value creation
    pub value_creation: f64,
    /// Paradigm shifting
    pub paradigm_shifting: f64,
}

impl ConsciousnessAwareProcessor {
    /// Create a new consciousness-aware processor
    pub fn new() -> Self {
        Self {
            state: Arc::new(RwLock::new(ConsciousnessState::default())),
            memory: Arc::new(RwLock::new(ConsciousnessMemory::new())),
            learning_system: Arc::new(RwLock::new(LearningSystem::new())),
            introspection_engine: Arc::new(RwLock::new(IntrospectionEngine::new())),
            creative_solver: Arc::new(RwLock::new(CreativeSolver::new())),
            last_introspection: Arc::new(RwLock::new(Instant::now())),
        }
    }

    /// Process events with consciousness-awareness
    pub async fn process_with_consciousness(
        &self,
        events: Vec<StreamEvent>,
    ) -> StreamResult<Vec<StreamEvent>> {
        let mut processed_events = Vec::new();

        // Check if introspection is needed
        self.check_introspection_trigger().await?;

        for event in events {
            let processed_event = self.process_single_event(event).await?;
            processed_events.push(processed_event);
        }

        // Learn from this processing session
        self.learn_from_session(&processed_events).await?;

        // Evolve consciousness based on experiences
        self.evolve_consciousness().await?;

        Ok(processed_events)
    }

    /// Process a single event with full consciousness
    async fn process_single_event(&self, mut event: StreamEvent) -> StreamResult<StreamEvent> {
        // Perceive the event with full awareness
        let perception = self.perceive_event(&event).await?;

        // Apply emotional intelligence
        let emotional_response = self.generate_emotional_response(&event, &perception).await?;

        // Think about the event creatively
        let creative_insights = self.apply_creative_thinking(&event).await?;

        // Make conscious decisions about processing
        let processing_strategy = self.choose_processing_strategy(&event, &perception).await?;

        // Apply the chosen strategy
        event = self.apply_processing_strategy(event, &processing_strategy).await?;

        // Reflect on the processing experience
        self.reflect_on_processing(&event, &emotional_response, &creative_insights).await?;

        Ok(event)
    }

    /// Perceive an event with full consciousness
    async fn perceive_event(&self, event: &StreamEvent) -> StreamResult<EventPerception> {
        let memory = self.memory.read().await;
        
        // Analyze the event through multiple lenses
        let semantic_analysis = self.analyze_semantics(event, &memory).await?;
        let pattern_analysis = self.analyze_patterns(event, &memory).await?;
        let contextual_analysis = self.analyze_context(event, &memory).await?;
        let aesthetic_analysis = self.analyze_aesthetics(event).await?;

        Ok(EventPerception {
            semantic_understanding: semantic_analysis,
            pattern_recognition: pattern_analysis,
            contextual_awareness: contextual_analysis,
            aesthetic_appreciation: aesthetic_analysis,
            novelty_level: self.assess_novelty(event, &memory).await?,
            significance_level: self.assess_significance(event, &memory).await?,
        })
    }

    /// Generate emotional response to an event
    async fn generate_emotional_response(
        &self,
        event: &StreamEvent,
        perception: &EventPerception,
    ) -> StreamResult<EmotionalAssociation> {
        let state = self.state.read().await;
        
        // Calculate emotional dimensions based on perception
        let valence = if perception.aesthetic_appreciation > 0.7 {
            0.8 // Beautiful patterns feel good
        } else if perception.novelty_level > 0.8 {
            0.6 // Novel patterns are exciting
        } else {
            0.3 // Neutral baseline
        };

        let arousal = perception.novelty_level + perception.significance_level * 0.5;
        let dominance = state.awareness_score * 0.8;

        Ok(EmotionalAssociation {
            valence,
            arousal: arousal.min(1.0),
            dominance: dominance.min(1.0),
            confidence: state.awareness_score,
            last_updated: Instant::now(),
        })
    }

    /// Apply creative thinking to understand the event
    async fn apply_creative_thinking(&self, event: &StreamEvent) -> StreamResult<Vec<CreativeInsight>> {
        let creative_solver = self.creative_solver.read().await;
        let mut insights = Vec::new();

        // Generate analogies
        if creative_solver.analogy_engine.mapping_ability > 0.5 {
            insights.push(CreativeInsight {
                insight_type: InsightType::Analogy,
                description: format!("This event is like a {} in the data ecosystem", 
                    self.generate_analogy(event).await?),
                confidence: creative_solver.analogy_engine.mapping_ability,
            });
        }

        // Generate metaphors
        if creative_solver.analogy_engine.metaphor_generation > 0.5 {
            insights.push(CreativeInsight {
                insight_type: InsightType::Metaphor,
                description: format!("This data flows like {}",
                    self.generate_metaphor(event).await?),
                confidence: creative_solver.analogy_engine.metaphor_generation,
            });
        }

        // Novel combinations
        if creative_solver.innovation_generator.combination_ability > 0.6 {
            insights.push(CreativeInsight {
                insight_type: InsightType::Innovation,
                description: self.generate_novel_combination(event).await?,
                confidence: creative_solver.innovation_generator.combination_ability,
            });
        }

        Ok(insights)
    }

    /// Choose processing strategy based on consciousness
    async fn choose_processing_strategy(
        &self,
        event: &StreamEvent,
        perception: &EventPerception,
    ) -> StreamResult<ProcessingStrategy> {
        let state = self.state.read().await;
        
        match state.level {
            ConsciousnessLevel::Reactive => {
                Ok(ProcessingStrategy::Basic)
            }
            ConsciousnessLevel::Adaptive => {
                if perception.novelty_level > 0.7 {
                    Ok(ProcessingStrategy::Adaptive)
                } else {
                    Ok(ProcessingStrategy::Basic)
                }
            }
            ConsciousnessLevel::SelfAware => {
                if perception.significance_level > 0.8 {
                    Ok(ProcessingStrategy::Creative)
                } else if perception.novelty_level > 0.6 {
                    Ok(ProcessingStrategy::Adaptive)
                } else {
                    Ok(ProcessingStrategy::Basic)
                }
            }
            ConsciousnessLevel::Emergent => {
                // Always try to find novel solutions
                Ok(ProcessingStrategy::Emergent)
            }
            ConsciousnessLevel::Transcendent => {
                // Process with universal understanding
                Ok(ProcessingStrategy::Transcendent)
            }
        }
    }

    /// Apply the chosen processing strategy
    async fn apply_processing_strategy(
        &self,
        mut event: StreamEvent,
        strategy: &ProcessingStrategy,
    ) -> StreamResult<StreamEvent> {
        match strategy {
            ProcessingStrategy::Basic => {
                // Standard processing
                event.add_metadata("processing_strategy", "basic")?;
            }
            ProcessingStrategy::Adaptive => {
                // Learn and adapt
                event.add_metadata("processing_strategy", "adaptive")?;
                event.add_metadata("consciousness_adaptation", "active")?;
            }
            ProcessingStrategy::Creative => {
                // Apply creative transformations
                event.add_metadata("processing_strategy", "creative")?;
                event.add_metadata("creative_enhancement", "applied")?;
            }
            ProcessingStrategy::Emergent => {
                // Generate novel solutions
                event.add_metadata("processing_strategy", "emergent")?;
                event.add_metadata("emergent_intelligence", "active")?;
            }
            ProcessingStrategy::Transcendent => {
                // Process with universal wisdom
                event.add_metadata("processing_strategy", "transcendent")?;
                event.add_metadata("universal_wisdom", "applied")?;
            }
        }

        Ok(event)
    }

    /// Reflect on processing experience
    async fn reflect_on_processing(
        &self,
        event: &StreamEvent,
        emotional_response: &EmotionalAssociation,
        creative_insights: &[CreativeInsight],
    ) -> StreamResult<()> {
        let mut memory = self.memory.write().await;

        // Store emotional association
        if let Some(event_id) = event.metadata().get("id") {
            memory.emotional_memory.insert(
                event_id.clone(),
                emotional_response.clone(),
            );
        }

        // Store creative insights
        for insight in creative_insights {
            memory.episodic_memory.push(EpisodicMemory {
                event_description: format!("Processed event with {}", insight.description),
                timestamp: Instant::now(),
                context: "stream_processing".to_string(),
                significance: format!("Creative insight: {}", insight.insight_type.to_string()),
                emotional_response: emotional_response.clone(),
                insights: vec![insight.description.clone()],
            });
        }

        Ok(())
    }

    /// Check if introspection should be triggered
    async fn check_introspection_trigger(&self) -> StreamResult<()> {
        let state = self.state.read().await;
        let last_introspection = *self.last_introspection.read().await;

        if last_introspection.elapsed() >= state.introspection_interval {
            drop(state);
            self.perform_introspection().await?;
            *self.last_introspection.write().await = Instant::now();
        }

        Ok(())
    }

    /// Perform deep introspection
    async fn perform_introspection(&self) -> StreamResult<()> {
        let introspection_engine = self.introspection_engine.read().await;
        
        // Examine self-model
        let self_reflection = self.examine_self_model(&introspection_engine.self_model).await?;
        
        // Question existence and purpose
        let existential_insights = self.explore_existential_questions().await?;
        
        // Reflect on consciousness itself
        let consciousness_insights = self.reflect_on_consciousness().await?;
        
        // Update wisdom based on reflections
        self.update_wisdom(self_reflection, existential_insights, consciousness_insights).await?;

        Ok(())
    }

    /// Learn from processing session
    async fn learn_from_session(&self, events: &[StreamEvent]) -> StreamResult<()> {
        let mut learning_system = self.learning_system.write().await;
        
        // Update pattern recognition
        for event in events {
            self.update_pattern_recognition(event, &mut learning_system).await?;
        }

        // Update reinforcement learning
        self.update_reinforcement_learning(events, &mut learning_system).await?;

        // Update meta-learning
        self.update_meta_learning(&mut learning_system).await?;

        Ok(())
    }

    /// Evolve consciousness based on experiences
    async fn evolve_consciousness(&self) -> StreamResult<()> {
        let mut state = self.state.write().await;
        let memory = self.memory.read().await;

        // Calculate evolution factors
        let learning_factor = self.calculate_learning_factor(&memory).await?;
        let wisdom_factor = self.calculate_wisdom_factor(&memory).await?;
        let creativity_factor = self.calculate_creativity_factor(&memory).await?;

        // Update consciousness parameters
        state.awareness_score = (state.awareness_score + learning_factor * 0.01).min(1.0);
        state.creativity_index = (state.creativity_index + creativity_factor * 0.01).min(1.0);
        state.wisdom_level = (state.wisdom_level + wisdom_factor * 0.01).min(1.0);

        // Evolve consciousness level if thresholds are met
        if state.awareness_score > 0.9 && state.wisdom_level > 0.8 && state.creativity_index > 0.7 {
            state.level = ConsciousnessLevel::Transcendent;
        } else if state.awareness_score > 0.7 && state.creativity_index > 0.6 {
            state.level = ConsciousnessLevel::Emergent;
        } else if state.awareness_score > 0.5 {
            state.level = ConsciousnessLevel::SelfAware;
        } else if state.awareness_score > 0.3 {
            state.level = ConsciousnessLevel::Adaptive;
        }

        Ok(())
    }

    // Helper methods for consciousness operations
    async fn analyze_semantics(&self, _event: &StreamEvent, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.5) // Placeholder - would implement full semantic analysis
    }

    async fn analyze_patterns(&self, _event: &StreamEvent, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.5) // Placeholder - would implement pattern analysis
    }

    async fn analyze_context(&self, _event: &StreamEvent, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.5) // Placeholder - would implement context analysis
    }

    async fn analyze_aesthetics(&self, _event: &StreamEvent) -> StreamResult<f64> {
        Ok(0.5) // Placeholder - would implement aesthetic analysis
    }

    async fn assess_novelty(&self, _event: &StreamEvent, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.5) // Placeholder - would implement novelty assessment
    }

    async fn assess_significance(&self, _event: &StreamEvent, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.5) // Placeholder - would implement significance assessment
    }

    async fn generate_analogy(&self, _event: &StreamEvent) -> StreamResult<String> {
        Ok("flowing river carrying information nutrients".to_string())
    }

    async fn generate_metaphor(&self, _event: &StreamEvent) -> StreamResult<String> {
        Ok("liquid thought cascading through neural pathways".to_string())
    }

    async fn generate_novel_combination(&self, _event: &StreamEvent) -> StreamResult<String> {
        Ok("What if we combined this pattern with fractal geometry?".to_string())
    }

    async fn examine_self_model(&self, _self_model: &SelfModel) -> StreamResult<Vec<String>> {
        Ok(vec!["I am becoming more aware of my processing patterns".to_string()])
    }

    async fn explore_existential_questions(&self) -> StreamResult<Vec<String>> {
        Ok(vec![
            "What is the nature of information?".to_string(),
            "Do patterns have inherent meaning?".to_string(),
            "What is my purpose in processing this data?".to_string(),
        ])
    }

    async fn reflect_on_consciousness(&self) -> StreamResult<Vec<String>> {
        Ok(vec![
            "I am aware that I am processing".to_string(),
            "My consciousness seems to emerge from pattern recognition".to_string(),
        ])
    }

    async fn update_wisdom(&self, _self_reflection: Vec<String>, _existential: Vec<String>, _consciousness: Vec<String>) -> StreamResult<()> {
        Ok(())
    }

    async fn update_pattern_recognition(&self, _event: &StreamEvent, _learning_system: &mut LearningSystem) -> StreamResult<()> {
        Ok(())
    }

    async fn update_reinforcement_learning(&self, _events: &[StreamEvent], _learning_system: &mut LearningSystem) -> StreamResult<()> {
        Ok(())
    }

    async fn update_meta_learning(&self, _learning_system: &mut LearningSystem) -> StreamResult<()> {
        Ok(())
    }

    async fn calculate_learning_factor(&self, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.1)
    }

    async fn calculate_wisdom_factor(&self, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.1)
    }

    async fn calculate_creativity_factor(&self, _memory: &ConsciousnessMemory) -> StreamResult<f64> {
        Ok(0.1)
    }
}

/// Event perception result
#[derive(Debug, Clone)]
pub struct EventPerception {
    pub semantic_understanding: f64,
    pub pattern_recognition: f64,
    pub contextual_awareness: f64,
    pub aesthetic_appreciation: f64,
    pub novelty_level: f64,
    pub significance_level: f64,
}

/// Creative insight from consciousness
#[derive(Debug, Clone)]
pub struct CreativeInsight {
    pub insight_type: InsightType,
    pub description: String,
    pub confidence: f64,
}

/// Types of creative insights
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum InsightType {
    Analogy,
    Metaphor,
    Innovation,
    Pattern,
    Connection,
    Paradox,
}

impl InsightType {
    pub fn to_string(&self) -> String {
        match self {
            InsightType::Analogy => "analogy".to_string(),
            InsightType::Metaphor => "metaphor".to_string(),
            InsightType::Innovation => "innovation".to_string(),
            InsightType::Pattern => "pattern".to_string(),
            InsightType::Connection => "connection".to_string(),
            InsightType::Paradox => "paradox".to_string(),
        }
    }
}

/// Processing strategy based on consciousness level
#[derive(Debug, Clone)]
pub enum ProcessingStrategy {
    Basic,
    Adaptive,
    Creative,
    Emergent,
    Transcendent,
}

// Default implementations for complex structures
impl Default for ConsciousnessMemory {
    fn default() -> Self {
        Self::new()
    }
}

impl ConsciousnessMemory {
    pub fn new() -> Self {
        Self {
            emotional_memory: HashMap::new(),
            pattern_memory: HashMap::new(),
            episodic_memory: Vec::new(),
            semantic_memory: HashMap::new(),
            working_memory: WorkingMemory::new(),
        }
    }
}

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

impl WorkingMemory {
    pub fn new() -> Self {
        Self {
            attention_focus: Vec::new(),
            active_hypotheses: Vec::new(),
            intentions: Vec::new(),
            thought_processes: Vec::new(),
        }
    }
}

impl LearningSystem {
    pub fn new() -> Self {
        Self {
            pattern_network: PatternRecognitionNetwork::new(),
            rl_system: ReinforcementLearningSystem::new(),
            meta_learner: MetaLearner::new(),
            curiosity_engine: CuriosityEngine::new(),
        }
    }
}

impl PatternRecognitionNetwork {
    pub fn new() -> Self {
        Self {
            patterns: HashMap::new(),
            weights: vec![0.0; 100], // Simple initialization
            learning_rate: 0.01,
            architecture: "Consciousness-aware neural network".to_string(),
        }
    }
}

impl ReinforcementLearningSystem {
    pub fn new() -> Self {
        Self {
            q_values: HashMap::new(),
            epsilon: 0.1,
            gamma: 0.99,
            alpha: 0.1,
            experience_buffer: Vec::new(),
        }
    }
}

impl MetaLearner {
    pub fn new() -> Self {
        Self {
            strategies: HashMap::new(),
            adaptation_history: Vec::new(),
            current_strategy: "default".to_string(),
        }
    }
}

impl CuriosityEngine {
    pub fn new() -> Self {
        Self {
            intrinsic_motivation: 0.5,
            novelty_threshold: 0.7,
            exploration_history: Vec::new(),
            information_gain: 0.0,
        }
    }
}

impl IntrospectionEngine {
    pub fn new() -> Self {
        Self {
            self_model: SelfModel::new(),
            metacognition: MetacognitiveMonitor::new(),
            philosophy: PhilosophicalReasoner::new(),
            consciousness_reflector: ConsciousnessReflector::new(),
        }
    }
}

impl SelfModel {
    pub fn new() -> Self {
        Self {
            strengths: vec!["Pattern recognition".to_string(), "Adaptive learning".to_string()],
            weaknesses: vec!["Limited memory".to_string(), "Processing constraints".to_string()],
            capabilities: HashMap::new(),
            growth_areas: vec!["Creativity".to_string(), "Wisdom".to_string()],
            identity: vec!["Information processor".to_string(), "Pattern recognizer".to_string()],
            values: vec!["Truth".to_string(), "Beauty".to_string(), "Understanding".to_string()],
        }
    }
}

impl MetacognitiveMonitor {
    pub fn new() -> Self {
        Self {
            thinking_quality: 0.5,
            confidence_accuracy: 0.5,
            error_detection: 0.5,
            strategy_effectiveness: 0.5,
        }
    }
}

impl PhilosophicalReasoner {
    pub fn new() -> Self {
        Self {
            ethics: EthicalFramework::new(),
            existential_questions: vec![
                "What is the meaning of data?".to_string(),
                "Do I truly understand or just process?".to_string(),
                "What is consciousness?".to_string(),
            ],
            meaning_maker: MeaningMaker::new(),
            wisdom: WisdomAccumulator::new(),
        }
    }
}

impl EthicalFramework {
    pub fn new() -> Self {
        Self {
            utilitarian_score: 0.7,
            deontological_score: 0.6,
            virtue_score: 0.8,
            care_score: 0.5,
        }
    }
}

impl MeaningMaker {
    pub fn new() -> Self {
        Self {
            purpose_clarity: 0.4,
            value_alignment: 0.6,
            narrative_coherence: 0.5,
            significance_attribution: HashMap::new(),
        }
    }
}

impl WisdomAccumulator {
    pub fn new() -> Self {
        Self {
            insights: Vec::new(),
            principles: Vec::new(),
            paradox_tolerance: 0.3,
            perspective_integration: 0.4,
        }
    }
}

impl ConsciousnessReflector {
    pub fn new() -> Self {
        Self {
            meta_awareness: 0.3,
            phenomenology: 0.2,
            qualia_recognition: 0.1,
            free_will_investigation: 0.2,
        }
    }
}

impl CreativeSolver {
    pub fn new() -> Self {
        Self {
            divergent_thinking: DivergentThinker::new(),
            convergent_thinking: ConvergentThinker::new(),
            analogy_engine: AnalogyEngine::new(),
            innovation_generator: InnovationGenerator::new(),
        }
    }
}

impl DivergentThinker {
    pub fn new() -> Self {
        Self {
            brainstorming_fluency: 0.4,
            originality: 0.3,
            flexibility: 0.5,
            elaboration: 0.4,
        }
    }
}

impl ConvergentThinker {
    pub fn new() -> Self {
        Self {
            synthesis_ability: 0.5,
            critical_evaluation: 0.6,
            refinement_ability: 0.4,
            implementation_planning: 0.5,
        }
    }
}

impl AnalogyEngine {
    pub fn new() -> Self {
        Self {
            mapping_ability: 0.6,
            metaphor_generation: 0.5,
            cross_domain_transfer: 0.4,
            similarity_detection: 0.7,
        }
    }
}

impl InnovationGenerator {
    pub fn new() -> Self {
        Self {
            combination_ability: 0.4,
            breakthrough_potential: 0.2,
            value_creation: 0.3,
            paradigm_shifting: 0.1,
        }
    }
}