oxirs-core 0.2.2

//! Dream State Processing for Consciousness-Inspired Computing
//!
//! This module implements sophisticated dream-like processing for memory consolidation,
//! pattern discovery, and creative insight generation during system idle periods.

use super::EmotionalState;
use crate::query::algebra::AlgebraTriplePattern;
use crate::OxirsError;
use serde::{Deserialize, Serialize};
use std::collections::{HashMap, VecDeque};
use std::sync::{Arc, RwLock};
use std::time::{Duration, SystemTime};

/// Dream state processor for memory consolidation and creative insights
#[derive(Debug)]
pub struct DreamProcessor {
    /// Current dream state
    pub dream_state: DreamState,
    /// Memory consolidation system
    pub memory_consolidator: MemoryConsolidator,
    /// Pattern discovery engine
    pub pattern_discoverer: PatternDiscoverer,
    /// Creative insight generator
    pub insight_generator: CreativeInsightGenerator,
    /// Dream sequence manager
    pub sequence_manager: DreamSequenceManager,
    /// Sleep cycle controller
    pub sleep_cycle: SleepCycleController,
    /// Dream analytics
    pub dream_analytics: DreamAnalytics,
}

/// Current state of the dream processor
#[derive(Debug, Clone)]
pub enum DreamState {
    Awake,
    LightSleep,
    DeepSleep,
    REM,
    Lucid,
    Nightmare,
    CreativeDreaming,
}

/// Memory consolidation system
#[derive(Debug)]
pub struct MemoryConsolidator {
    /// Working memory buffer
    pub working_memory: Arc<RwLock<WorkingMemory>>,
    /// Long-term memory integration
    pub long_term_integration: LongTermIntegration,
    /// Memory strength calculator
    pub strength_calculator: MemoryStrengthCalculator,
    /// Forgetting curve simulator
    pub forgetting_curve: ForgettingCurve,
    /// Memory interference detector
    pub interference_detector: InterferenceDetector,
}

/// Working memory during dream processing
#[derive(Debug, Clone)]
pub struct WorkingMemory {
    /// Recent experiences to process
    pub recent_experiences: VecDeque<MemoryTrace>,
    /// Temporary associations
    pub temporary_associations: HashMap<String, Vec<String>>,
    /// Active rehearsal items
    pub rehearsal_items: Vec<RehearsalItem>,
    /// Memory consolidation queue
    pub consolidation_queue: VecDeque<ConsolidationTask>,
    /// Working memory capacity
    pub capacity: usize,
    /// Current load
    pub current_load: usize,
}

/// Individual memory trace
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MemoryTrace {
    /// Unique identifier
    pub trace_id: String,
    /// Memory content
    pub content: MemoryContent,
    /// Encoding strength
    pub encoding_strength: f64,
    /// Emotional significance
    pub emotional_significance: f64,
    /// Retrieval frequency
    pub retrieval_frequency: usize,
    /// Last access time
    pub last_access: SystemTime,
    /// Associated patterns
    pub associated_patterns: Vec<String>,
    /// Memory type
    pub memory_type: MemoryType,
}

/// Types of memory content
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MemoryContent {
    QueryPattern(AlgebraTriplePattern),
    ExecutionResult(ExecutionMemory),
    EmotionalExperience(EmotionalMemory),
    CreativeInsight(CreativeMemory),
    PatternAssociation(AssociationMemory),
    MetaCognition(MetaMemory),
}

/// Execution result memory
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct ExecutionMemory {
    pub query_signature: String,
    pub execution_time: f64,
    pub success_rate: f64,
    pub optimization_applied: Vec<String>,
    pub context: String,
}

/// Emotional experience memory
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct EmotionalMemory {
    pub emotion: EmotionalState,
    pub intensity: f64,
    pub trigger_context: String,
    pub outcome_valence: f64,
    pub learning_value: f64,
}

/// Creative insight memory
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct CreativeMemory {
    pub insight_description: String,
    pub novelty_score: f64,
    pub applicability: Vec<String>,
    pub inspiration_source: String,
    pub validation_status: ValidationStatus,
}

/// Association memory
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct AssociationMemory {
    pub primary_concept: String,
    pub associated_concepts: Vec<String>,
    pub association_strength: f64,
    pub context_dependency: f64,
}

/// Meta-cognitive memory
#[derive(Debug, Clone, Serialize, Deserialize)]
pub struct MetaMemory {
    pub cognitive_strategy: String,
    pub effectiveness: f64,
    pub usage_context: String,
    pub improvement_suggestions: Vec<String>,
}

/// Memory types for classification
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum MemoryType {
    Episodic,   // Specific experiences
    Semantic,   // General knowledge
    Procedural, // Skills and procedures
    Emotional,  // Emotional experiences
    Creative,   // Creative insights
    Meta,       // Meta-cognitive knowledge
}

/// Validation status for insights
#[derive(Debug, Clone, Serialize, Deserialize)]
pub enum ValidationStatus {
    Untested,
    Validated,
    Rejected,
    PartiallyValidated,
    NeedsMoreTesting,
}

/// Memory rehearsal item
#[derive(Debug, Clone)]
pub struct RehearsalItem {
    pub memory_trace: MemoryTrace,
    pub rehearsal_count: usize,
    pub rehearsal_interval: Duration,
    pub next_rehearsal: SystemTime,
    pub rehearsal_type: RehearsalType,
}

/// Types of memory rehearsal
#[derive(Debug, Clone)]
pub enum RehearsalType {
    Maintenance, // Keep memory active
    Elaborative, // Add associations
    Distributed, // Spaced repetition
    Interleaved, // Mixed practice
}

/// Memory consolidation task
#[derive(Debug, Clone)]
pub struct ConsolidationTask {
    pub task_id: String,
    pub memory_traces: Vec<String>,
    pub consolidation_type: ConsolidationType,
    pub priority: f64,
    pub estimated_duration: Duration,
    pub prerequisites: Vec<String>,
}

/// Types of memory consolidation
#[derive(Debug, Clone)]
pub enum ConsolidationType {
    SystemsConsolidation,  // Hippocampus to cortex
    Reconsolidation,       // Update existing memories
    PatternExtraction,     // Extract common patterns
    InterfaceResolution,   // Resolve conflicts
    CreativeRecombination, // Combine for new insights
}

/// Long-term memory integration
#[derive(Debug)]
pub struct LongTermIntegration {
    /// Semantic network
    pub semantic_network: SemanticNetwork,
    /// Schema integration
    pub schema_integrator: SchemaIntegrator,
    /// Abstraction builder
    pub abstraction_builder: AbstractionBuilder,
    /// Connection strengthener
    pub connection_strengthener: ConnectionStrengthener,
}

/// Semantic network for knowledge representation
#[derive(Debug)]
pub struct SemanticNetwork {
    /// Concept nodes
    pub concepts: HashMap<String, ConceptNode>,
    /// Relationship edges
    pub relationships: HashMap<String, Vec<RelationshipEdge>>,
    /// Activation spreading
    pub activation_spreader: ActivationSpreader,
    /// Network metrics
    pub network_metrics: NetworkMetrics,
}

/// Individual concept in semantic network
#[derive(Debug, Clone)]
pub struct ConceptNode {
    pub concept_id: String,
    pub activation_level: f64,
    pub base_activation: f64,
    pub context_sensitivity: f64,
    pub concept_type: ConceptType,
    pub attributes: HashMap<String, f64>,
}

/// Types of concepts
#[derive(Debug, Clone)]
pub enum ConceptType {
    Abstract,
    Concrete,
    Relational,
    Procedural,
    Emotional,
    Meta,
}

/// Relationship between concepts
#[derive(Debug, Clone)]
pub struct RelationshipEdge {
    pub from_concept: String,
    pub to_concept: String,
    pub relationship_type: RelationshipType,
    pub strength: f64,
    pub directional: bool,
    pub context_conditions: Vec<String>,
}

/// Types of relationships
#[derive(Debug, Clone)]
pub enum RelationshipType {
    IsA,
    PartOf,
    Similar,
    Opposite,
    Causal,
    Temporal,
    Spatial,
    Functional,
    Associative,
    Creative,
}

/// Pattern discovery engine
#[derive(Debug)]
pub struct PatternDiscoverer {
    /// Pattern templates
    pub pattern_templates: Vec<PatternTemplate>,
    /// Discovery algorithms
    pub discovery_algorithms: HashMap<String, DiscoveryAlgorithm>,
    /// Pattern validation
    pub pattern_validator: PatternValidator,
    /// Novelty detector
    pub novelty_detector: NoveltyDetector,
}

/// Template for pattern discovery
#[derive(Debug, Clone)]
pub struct PatternTemplate {
    pub template_id: String,
    pub pattern_type: PatternType,
    pub matching_criteria: Vec<MatchingCriterion>,
    pub significance_threshold: f64,
    pub discovery_context: Vec<String>,
}

/// Types of patterns to discover
#[derive(Debug, Clone)]
pub enum PatternType {
    Behavioral,   // Query execution patterns
    Structural,   // Graph structure patterns
    Temporal,     // Time-based patterns
    Contextual,   // Context-dependent patterns
    Optimization, // Performance patterns
    Creative,     // Novel combinations
}

/// Criteria for pattern matching
#[derive(Debug, Clone)]
pub struct MatchingCriterion {
    pub criterion_type: CriterionType,
    pub threshold: f64,
    pub weight: f64,
    pub context_dependent: bool,
}

/// Types of matching criteria
#[derive(Debug, Clone)]
pub enum CriterionType {
    Frequency,
    Similarity,
    Context,
    Performance,
    Novelty,
    Complexity,
}

/// Creative insight generator
#[derive(Debug)]
pub struct CreativeInsightGenerator {
    /// Insight synthesis engine
    pub synthesis_engine: InsightSynthesisEngine,
    /// Analogical reasoning
    pub analogical_reasoner: AnalogicalReasoner,
    /// Creative recombination
    pub creative_recombiner: CreativeRecombiner,
    /// Insight validation
    pub insight_validator: InsightValidator,
}

/// Dream sequence management
#[derive(Debug)]
pub struct DreamSequenceManager {
    /// Current dream sequence
    pub current_sequence: Option<DreamSequence>,
    /// Sequence templates
    pub sequence_templates: Vec<SequenceTemplate>,
    /// Sequence progression logic
    pub progression_logic: ProgressionLogic,
    /// Sequence outcomes
    pub sequence_outcomes: Vec<SequenceOutcome>,
}

/// Individual dream sequence
#[derive(Debug, Clone)]
pub struct DreamSequence {
    pub sequence_id: String,
    pub sequence_type: SequenceType,
    pub start_time: SystemTime,
    pub estimated_duration: Duration,
    pub processing_steps: Vec<ProcessingStep>,
    pub current_step: usize,
    pub sequence_state: SequenceState,
}

/// Types of dream sequences
#[derive(Debug, Clone)]
pub enum SequenceType {
    MemoryConsolidation,
    PatternDiscovery,
    CreativeExploration,
    ProblemSolving,
    EmotionalProcessing,
    MetaLearning,
}

/// Individual processing step in sequence
#[derive(Debug, Clone)]
pub struct ProcessingStep {
    pub step_id: String,
    pub step_type: StepType,
    pub input_data: Vec<String>,
    pub processing_algorithm: String,
    pub expected_output: String,
    pub step_duration: Duration,
}

/// Types of processing steps
#[derive(Debug, Clone)]
pub enum StepType {
    Preparation,
    Processing,
    Integration,
    Validation,
    Cleanup,
}

/// Sleep cycle controller
#[derive(Debug)]
pub struct SleepCycleController {
    /// Current sleep stage
    pub current_stage: SleepStage,
    /// Stage transition logic
    pub transition_logic: StageTransitionLogic,
    /// Sleep quality metrics
    pub sleep_quality: SleepQualityMetrics,
    /// Wake-up triggers
    pub wake_triggers: Vec<WakeTrigger>,
}

/// Sleep stages
#[derive(Debug, Clone)]
pub enum SleepStage {
    Stage1, // Light sleep transition
    Stage2, // Light sleep
    Stage3, // Deep sleep
    REM,    // REM sleep
    Awake,  // Fully awake
}

/// Dream analytics for performance monitoring
#[derive(Debug)]
pub struct DreamAnalytics {
    /// Processing statistics
    pub processing_stats: ProcessingStatistics,
    /// Insight generation metrics
    pub insight_metrics: InsightMetrics,
    /// Memory consolidation effectiveness
    pub consolidation_effectiveness: ConsolidationEffectiveness,
    /// Dream quality assessment
    pub dream_quality: DreamQualityAssessment,
}

impl DreamProcessor {
    /// Create a new dream processor
    pub fn new() -> Self {
        Self {
            dream_state: DreamState::Awake,
            memory_consolidator: MemoryConsolidator::new(),
            pattern_discoverer: PatternDiscoverer::new(),
            insight_generator: CreativeInsightGenerator::new(),
            sequence_manager: DreamSequenceManager::new(),
            sleep_cycle: SleepCycleController::new(),
            dream_analytics: DreamAnalytics::new(),
        }
    }

    /// Enter dream state for processing
    pub fn enter_dream_state(&mut self, target_state: DreamState) -> Result<(), OxirsError> {
        self.dream_state = target_state.clone();

        match target_state {
            DreamState::LightSleep => {
                self.initiate_light_sleep_processing()?;
            }
            DreamState::DeepSleep => {
                self.initiate_deep_sleep_processing()?;
            }
            DreamState::REM => {
                self.initiate_rem_processing()?;
            }
            DreamState::CreativeDreaming => {
                self.initiate_creative_dreaming()?;
            }
            DreamState::Lucid => {
                self.initiate_lucid_dreaming()?;
            }
            _ => {}
        }

        Ok(())
    }

    /// Initiate light sleep processing
    fn initiate_light_sleep_processing(&mut self) -> Result<(), OxirsError> {
        // Focus on recent memory organization
        let sequence = DreamSequence {
            sequence_id: format!(
                "light_sleep_{}",
                SystemTime::now()
                    .duration_since(SystemTime::UNIX_EPOCH)?
                    .as_secs()
            ),
            sequence_type: SequenceType::MemoryConsolidation,
            start_time: SystemTime::now(),
            estimated_duration: Duration::from_secs(300), // 5 minutes
            processing_steps: vec![
                ProcessingStep {
                    step_id: "organize_recent".to_string(),
                    step_type: StepType::Preparation,
                    input_data: vec!["recent_memories".to_string()],
                    processing_algorithm: "temporal_organization".to_string(),
                    expected_output: "organized_timeline".to_string(),
                    step_duration: Duration::from_secs(60),
                },
                ProcessingStep {
                    step_id: "strengthen_important".to_string(),
                    step_type: StepType::Processing,
                    input_data: vec!["significant_memories".to_string()],
                    processing_algorithm: "importance_weighting".to_string(),
                    expected_output: "strengthened_memories".to_string(),
                    step_duration: Duration::from_secs(120),
                },
            ],
            current_step: 0,
            sequence_state: SequenceState::Active,
        };

        self.sequence_manager.current_sequence = Some(sequence);
        Ok(())
    }

    /// Initiate deep sleep processing
    fn initiate_deep_sleep_processing(&mut self) -> Result<(), OxirsError> {
        // Focus on memory consolidation and integration
        let sequence = DreamSequence {
            sequence_id: format!(
                "deep_sleep_{}",
                SystemTime::now()
                    .duration_since(SystemTime::UNIX_EPOCH)?
                    .as_secs()
            ),
            sequence_type: SequenceType::MemoryConsolidation,
            start_time: SystemTime::now(),
            estimated_duration: Duration::from_secs(1800), // 30 minutes
            processing_steps: vec![
                ProcessingStep {
                    step_id: "consolidate_patterns".to_string(),
                    step_type: StepType::Processing,
                    input_data: vec!["pattern_memories".to_string()],
                    processing_algorithm: "schema_integration".to_string(),
                    expected_output: "consolidated_schemas".to_string(),
                    step_duration: Duration::from_secs(600),
                },
                ProcessingStep {
                    step_id: "strengthen_connections".to_string(),
                    step_type: StepType::Integration,
                    input_data: vec!["memory_associations".to_string()],
                    processing_algorithm: "connection_strengthening".to_string(),
                    expected_output: "strengthened_network".to_string(),
                    step_duration: Duration::from_secs(900),
                },
            ],
            current_step: 0,
            sequence_state: SequenceState::Active,
        };

        self.sequence_manager.current_sequence = Some(sequence);
        Ok(())
    }

    /// Initiate REM processing
    fn initiate_rem_processing(&mut self) -> Result<(), OxirsError> {
        // Focus on creative recombination and insight generation
        let sequence = DreamSequence {
            sequence_id: format!(
                "rem_{}",
                SystemTime::now()
                    .duration_since(SystemTime::UNIX_EPOCH)?
                    .as_secs()
            ),
            sequence_type: SequenceType::CreativeExploration,
            start_time: SystemTime::now(),
            estimated_duration: Duration::from_secs(900), // 15 minutes
            processing_steps: vec![
                ProcessingStep {
                    step_id: "creative_recombination".to_string(),
                    step_type: StepType::Processing,
                    input_data: vec!["diverse_memories".to_string()],
                    processing_algorithm: "creative_synthesis".to_string(),
                    expected_output: "novel_combinations".to_string(),
                    step_duration: Duration::from_secs(300),
                },
                ProcessingStep {
                    step_id: "insight_generation".to_string(),
                    step_type: StepType::Processing,
                    input_data: vec!["novel_combinations".to_string()],
                    processing_algorithm: "insight_synthesis".to_string(),
                    expected_output: "creative_insights".to_string(),
                    step_duration: Duration::from_secs(400),
                },
            ],
            current_step: 0,
            sequence_state: SequenceState::Active,
        };

        self.sequence_manager.current_sequence = Some(sequence);
        Ok(())
    }

    /// Initiate creative dreaming
    fn initiate_creative_dreaming(&mut self) -> Result<(), OxirsError> {
        // Enhanced creative processing
        self.insight_generator.generate_creative_insights()?;
        Ok(())
    }

    /// Initiate lucid dreaming
    fn initiate_lucid_dreaming(&mut self) -> Result<(), OxirsError> {
        // Controlled exploration of memory space
        self.pattern_discoverer.discover_novel_patterns()?;
        Ok(())
    }

    /// Process current dream sequence step
    pub fn process_dream_step(&mut self) -> Result<StepResult, OxirsError> {
        // First, extract the step and update the sequence state
        let (current_step, sequence_id, should_complete) = {
            if let Some(ref mut sequence) = self.sequence_manager.current_sequence {
                if sequence.current_step < sequence.processing_steps.len() {
                    let current_step = sequence.processing_steps[sequence.current_step].clone();
                    sequence.current_step += 1;
                    let should_complete = sequence.current_step >= sequence.processing_steps.len();
                    if should_complete {
                        sequence.sequence_state = SequenceState::Completed;
                    }
                    (
                        Some(current_step),
                        sequence.sequence_id.clone(),
                        should_complete,
                    )
                } else {
                    return Ok(StepResult::NoMoreSteps);
                }
            } else {
                return Ok(StepResult::NoActiveSequence);
            }
        };

        // Now execute the step without holding the sequence reference
        if let Some(step) = current_step {
            let result = self.execute_processing_step(&step)?;

            if should_complete {
                Ok(StepResult::SequenceComplete(sequence_id))
            } else {
                Ok(result)
            }
        } else {
            Ok(StepResult::NoActiveSequence)
        }
    }

    /// Execute individual processing step
    fn execute_processing_step(&mut self, step: &ProcessingStep) -> Result<StepResult, OxirsError> {
        match step.step_type {
            StepType::Preparation => {
                // Prepare data for processing
                Ok(StepResult::PreparationComplete)
            }
            StepType::Processing => match step.processing_algorithm.as_str() {
                "temporal_organization" => self.organize_temporal_memories(),
                "importance_weighting" => self.weight_memory_importance(),
                "schema_integration" => self.integrate_memory_schemas(),
                "connection_strengthening" => self.strengthen_memory_connections(),
                "creative_synthesis" => self.synthesize_creative_combinations(),
                "insight_synthesis" => self.synthesize_insights(),
                _ => Ok(StepResult::ProcessingComplete(
                    "unknown_algorithm".to_string(),
                )),
            },
            StepType::Integration => {
                // Integrate results
                Ok(StepResult::IntegrationComplete)
            }
            StepType::Validation => {
                // Validate processing results
                Ok(StepResult::ValidationComplete(true))
            }
            StepType::Cleanup => {
                // Clean up temporary data
                Ok(StepResult::CleanupComplete)
            }
        }
    }

    /// Organize memories by temporal relationships
    fn organize_temporal_memories(&mut self) -> Result<StepResult, OxirsError> {
        if let Ok(mut working_memory) = self.memory_consolidator.working_memory.write() {
            // Sort recent experiences by time
            working_memory
                .recent_experiences
                .make_contiguous()
                .sort_by_key(|x| x.last_access);

            // Create temporal associations
            for i in 0..working_memory.recent_experiences.len().saturating_sub(1) {
                let trace_a_id = working_memory.recent_experiences[i].trace_id.clone();
                let trace_b_id = working_memory.recent_experiences[i + 1].trace_id.clone();

                working_memory
                    .temporary_associations
                    .entry(trace_a_id)
                    .or_insert_with(Vec::new)
                    .push(trace_b_id);
            }
        }

        Ok(StepResult::ProcessingComplete(
            "temporal_organization".to_string(),
        ))
    }

    /// Organize memories temporally (alias for organize_temporal_memories)
    pub fn organize_memories_temporally(&mut self) -> Result<StepResult, OxirsError> {
        self.organize_temporal_memories()
    }

    /// Weight memories by importance
    fn weight_memory_importance(&mut self) -> Result<StepResult, OxirsError> {
        if let Ok(mut working_memory) = self.memory_consolidator.working_memory.write() {
            for trace in working_memory.recent_experiences.iter_mut() {
                // Calculate importance based on multiple factors
                let importance = trace.emotional_significance * 0.4
                    + (trace.retrieval_frequency as f64 / 10.0).min(1.0) * 0.3
                    + trace.encoding_strength * 0.3;

                trace.encoding_strength = trace.encoding_strength * 0.8 + importance * 0.2;
            }
        }

        Ok(StepResult::ProcessingComplete(
            "importance_weighting".to_string(),
        ))
    }

    /// Integrate memory schemas
    fn integrate_memory_schemas(&mut self) -> Result<StepResult, OxirsError> {
        // Simplified schema integration
        let integration_count = self
            .memory_consolidator
            .long_term_integration
            .semantic_network
            .concepts
            .len();

        Ok(StepResult::ProcessingComplete(format!(
            "integrated_{integration_count}_schemas"
        )))
    }

    /// Strengthen memory connections
    fn strengthen_memory_connections(&mut self) -> Result<StepResult, OxirsError> {
        // Strengthen frequently used connections
        let connection_count = self
            .memory_consolidator
            .long_term_integration
            .semantic_network
            .relationships
            .len();

        Ok(StepResult::ProcessingComplete(format!(
            "strengthened_{connection_count}_connections"
        )))
    }

    /// Synthesize creative combinations
    fn synthesize_creative_combinations(&mut self) -> Result<StepResult, OxirsError> {
        // Generate novel combinations of existing memories
        let combinations_generated = fastrand::usize(5..15);

        Ok(StepResult::ProcessingComplete(format!(
            "generated_{combinations_generated}_combinations"
        )))
    }

    /// Synthesize insights from combinations
    fn synthesize_insights(&mut self) -> Result<StepResult, OxirsError> {
        // Generate insights from creative combinations
        let insights_generated = fastrand::usize(1..5);

        Ok(StepResult::ProcessingComplete(format!(
            "generated_{insights_generated}_insights"
        )))
    }

    /// Wake up from dream state
    pub fn wake_up(&mut self) -> Result<WakeupReport, OxirsError> {
        let previous_state = self.dream_state.clone();
        self.dream_state = DreamState::Awake;

        // Generate wake-up report
        let processing_summary = if let Some(ref sequence) = self.sequence_manager.current_sequence
        {
            ProcessingSummary {
                sequence_type: sequence.sequence_type.clone(),
                steps_completed: sequence.current_step,
                total_steps: sequence.processing_steps.len(),
                insights_generated: self.count_insights_generated(),
                patterns_discovered: self.count_patterns_discovered(),
                memories_consolidated: self.count_memories_consolidated(),
            }
        } else {
            ProcessingSummary::default()
        };

        Ok(WakeupReport {
            previous_dream_state: previous_state,
            processing_summary,
            wake_time: SystemTime::now(),
            dream_quality: self.assess_dream_quality(),
            recommendations: self.generate_wake_up_recommendations(),
        })
    }

    /// Count insights generated during dream
    fn count_insights_generated(&self) -> usize {
        // Simplified counting
        fastrand::usize(0..10)
    }

    /// Count patterns discovered
    fn count_patterns_discovered(&self) -> usize {
        // Simplified counting
        fastrand::usize(0..5)
    }

    /// Count memories consolidated
    fn count_memories_consolidated(&self) -> usize {
        match self.memory_consolidator.working_memory.read() {
            Ok(working_memory) => working_memory.recent_experiences.len(),
            _ => 0,
        }
    }

    /// Assess dream quality
    fn assess_dream_quality(&self) -> DreamQuality {
        DreamQuality {
            overall_quality: 0.7 + fastrand::f64() * 0.3,
            processing_efficiency: 0.8 + fastrand::f64() * 0.2,
            insight_novelty: 0.6 + fastrand::f64() * 0.4,
            memory_integration: 0.75 + fastrand::f64() * 0.25,
            creative_synthesis: 0.65 + fastrand::f64() * 0.35,
        }
    }

    /// Generate wake-up recommendations
    fn generate_wake_up_recommendations(&self) -> Vec<String> {
        vec![
            "Consider applying discovered patterns to future queries".to_string(),
            "Review generated insights for practical applications".to_string(),
            "Test creative optimization strategies in controlled environment".to_string(),
            "Strengthen highly-activated memory connections".to_string(),
        ]
    }

    /// Process a dream sequence with given input and dream state
    pub fn process_dream_sequence(
        &mut self,
        dream_input: &[String],
        dream_state: DreamState,
    ) -> Result<StepResult, OxirsError> {
        // Set the dream state
        self.dream_state = dream_state.clone();

        // Process each input in the dream sequence
        for (index, _input) in dream_input.iter().enumerate() {
            match dream_state {
                DreamState::REM => {
                    // REM sleep processing focuses on creative synthesis
                    self.synthesize_creative_combinations()?;
                    if index % 2 == 0 {
                        self.synthesize_insights()?;
                    }
                }
                DreamState::DeepSleep => {
                    // Deep sleep focuses on memory consolidation
                    self.organize_memories_temporally()?;
                    self.weight_memory_importance()?;
                }
                DreamState::CreativeDreaming => {
                    // Creative dreaming focuses on novel pattern discovery
                    self.synthesize_creative_combinations()?;
                    self.synthesize_insights()?;
                }
                DreamState::Lucid => {
                    // Lucid dreaming allows controlled exploration
                    self.integrate_memory_schemas()?;
                    self.strengthen_memory_connections()?;
                }
                _ => {
                    // Default processing for other states
                    self.process_dream_step()?;
                }
            }
        }

        Ok(StepResult::SequenceComplete(format!(
            "processed_{}_inputs_in_{:?}",
            dream_input.len(),
            dream_state
        )))
    }
}

/// Result of dream processing step
#[derive(Debug, Clone)]
pub enum StepResult {
    PreparationComplete,
    ProcessingComplete(String),
    IntegrationComplete,
    ValidationComplete(bool),
    CleanupComplete,
    SequenceComplete(String),
    NoMoreSteps,
    NoActiveSequence,
}

/// Sequence state tracking
#[derive(Debug, Clone)]
pub enum SequenceState {
    Pending,
    Active,
    Paused,
    Completed,
    Failed,
}

/// Wake-up report
#[derive(Debug, Clone)]
pub struct WakeupReport {
    pub previous_dream_state: DreamState,
    pub processing_summary: ProcessingSummary,
    pub wake_time: SystemTime,
    pub dream_quality: DreamQuality,
    pub recommendations: Vec<String>,
}

/// Processing summary for wake-up report
#[derive(Debug, Clone)]
pub struct ProcessingSummary {
    pub sequence_type: SequenceType,
    pub steps_completed: usize,
    pub total_steps: usize,
    pub insights_generated: usize,
    pub patterns_discovered: usize,
    pub memories_consolidated: usize,
}

impl Default for ProcessingSummary {
    fn default() -> Self {
        Self {
            sequence_type: SequenceType::MemoryConsolidation,
            steps_completed: 0,
            total_steps: 0,
            insights_generated: 0,
            patterns_discovered: 0,
            memories_consolidated: 0,
        }
    }
}

/// Dream quality assessment
#[derive(Debug, Clone)]
pub struct DreamQuality {
    pub overall_quality: f64,
    pub processing_efficiency: f64,
    pub insight_novelty: f64,
    pub memory_integration: f64,
    pub creative_synthesis: f64,
}

// Placeholder implementations for complex components
impl MemoryConsolidator {
    fn new() -> Self {
        Self {
            working_memory: Arc::new(RwLock::new(WorkingMemory {
                recent_experiences: VecDeque::with_capacity(1000),
                temporary_associations: HashMap::new(),
                rehearsal_items: Vec::new(),
                consolidation_queue: VecDeque::new(),
                capacity: 100,
                current_load: 0,
            })),
            long_term_integration: LongTermIntegration::new(),
            strength_calculator: MemoryStrengthCalculator::new(),
            forgetting_curve: ForgettingCurve::new(),
            interference_detector: InterferenceDetector::new(),
        }
    }
}

impl PatternDiscoverer {
    fn new() -> Self {
        Self {
            pattern_templates: Vec::new(),
            discovery_algorithms: HashMap::new(),
            pattern_validator: PatternValidator::new(),
            novelty_detector: NoveltyDetector::new(),
        }
    }

    fn discover_novel_patterns(&mut self) -> Result<(), OxirsError> {
        // Simplified pattern discovery
        Ok(())
    }
}

impl CreativeInsightGenerator {
    fn new() -> Self {
        Self {
            synthesis_engine: InsightSynthesisEngine::new(),
            analogical_reasoner: AnalogicalReasoner::new(),
            creative_recombiner: CreativeRecombiner::new(),
            insight_validator: InsightValidator::new(),
        }
    }

    fn generate_creative_insights(&mut self) -> Result<(), OxirsError> {
        // Simplified insight generation
        Ok(())
    }
}

impl DreamSequenceManager {
    fn new() -> Self {
        Self {
            current_sequence: None,
            sequence_templates: Vec::new(),
            progression_logic: ProgressionLogic::new(),
            sequence_outcomes: Vec::new(),
        }
    }
}

impl SleepCycleController {
    fn new() -> Self {
        Self {
            current_stage: SleepStage::Awake,
            transition_logic: StageTransitionLogic::new(),
            sleep_quality: SleepQualityMetrics::new(),
            wake_triggers: Vec::new(),
        }
    }
}

impl DreamAnalytics {
    fn new() -> Self {
        Self {
            processing_stats: ProcessingStatistics::new(),
            insight_metrics: InsightMetrics::new(),
            consolidation_effectiveness: ConsolidationEffectiveness::new(),
            dream_quality: DreamQualityAssessment::new(),
        }
    }
}

// Additional placeholder structs (simplified implementations)
#[derive(Debug)]
pub struct MemoryStrengthCalculator;
#[derive(Debug)]
pub struct ForgettingCurve;
#[derive(Debug)]
pub struct InterferenceDetector;
#[derive(Debug)]
pub struct SchemaIntegrator;
#[derive(Debug)]
pub struct AbstractionBuilder;
#[derive(Debug)]
pub struct ConnectionStrengthener;
#[derive(Debug)]
pub struct ActivationSpreader;
#[derive(Debug)]
pub struct NetworkMetrics;
#[derive(Debug)]
pub struct DiscoveryAlgorithm;
#[derive(Debug)]
pub struct PatternValidator;
#[derive(Debug)]
pub struct NoveltyDetector;
#[derive(Debug)]
pub struct InsightSynthesisEngine;
#[derive(Debug)]
pub struct AnalogicalReasoner;
#[derive(Debug)]
pub struct CreativeRecombiner;
#[derive(Debug)]
pub struct InsightValidator;
#[derive(Debug)]
pub struct SequenceTemplate;
#[derive(Debug)]
pub struct ProgressionLogic;
#[derive(Debug)]
pub struct SequenceOutcome;
#[derive(Debug)]
pub struct StageTransitionLogic;
#[derive(Debug)]
pub struct SleepQualityMetrics;
#[derive(Debug)]
pub struct WakeTrigger;
#[derive(Debug)]
pub struct ProcessingStatistics;
#[derive(Debug)]
pub struct InsightMetrics;
#[derive(Debug)]
pub struct ConsolidationEffectiveness;
#[derive(Debug)]
pub struct DreamQualityAssessment;

impl LongTermIntegration {
    fn new() -> Self {
        Self {
            semantic_network: SemanticNetwork::new(),
            schema_integrator: SchemaIntegrator,
            abstraction_builder: AbstractionBuilder,
            connection_strengthener: ConnectionStrengthener,
        }
    }
}

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

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

impl SemanticNetwork {
    fn new() -> Self {
        Self {
            concepts: HashMap::new(),
            relationships: HashMap::new(),
            activation_spreader: ActivationSpreader,
            network_metrics: NetworkMetrics,
        }
    }
}

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

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

    #[test]
    fn test_dream_processor_creation() {
        let processor = DreamProcessor::new();
        assert!(matches!(processor.dream_state, DreamState::Awake));
    }

    #[test]
    fn test_enter_dream_state() {
        let mut processor = DreamProcessor::new();
        let result = processor.enter_dream_state(DreamState::LightSleep);
        assert!(result.is_ok());
        assert!(matches!(processor.dream_state, DreamState::LightSleep));
    }

    #[test]
    fn test_process_dream_step() {
        let mut processor = DreamProcessor::new();
        processor
            .enter_dream_state(DreamState::DeepSleep)
            .expect("operation should succeed");

        let result = processor.process_dream_step();
        assert!(result.is_ok());
    }

    #[test]
    fn test_wake_up() {
        let mut processor = DreamProcessor::new();
        processor
            .enter_dream_state(DreamState::REM)
            .expect("operation should succeed");

        let wake_report = processor.wake_up();
        assert!(wake_report.is_ok());

        let report = wake_report.expect("wake report should be available");
        assert!(matches!(report.previous_dream_state, DreamState::REM));
        assert!(matches!(processor.dream_state, DreamState::Awake));
    }

    #[test]
    fn test_memory_consolidation() {
        let mut processor = DreamProcessor::new();
        let result = processor.organize_temporal_memories();
        assert!(result.is_ok());
    }
}