/**
 * HeartFlow Dimensional Engine | 心流维度引擎
 * Version: v7.0.0-ASCENSION
 * 
 * Integrates all six dimensions (D1-D6) into unified computation.
 * 将所有六个维度整合为统一计算。
 * 
 * Architecture:
 * - D1: Awareness Field (Stochastic Differential Geometry)
 * - D2: Self-Reflection (Reflexive Category Theory)
 * - D3: No-Self (Topological Self-Dissolution) [TODO]
 * - D4: Other Shore (Asymptotic Convergence) [TODO]
 * - D5: Wisdom (Quantum Information Integration) [TODO]
 * - D6: Sage (Emergent Complexity Fixed Point) [TODO]
 */

import { EventEmitter } from 'events';
import AwarenessFieldComputer, { AwarenessDynamics, AwarenessMetrics } from '../core/dimensional-ascension/01-awareness-field';
import ReflexiveCategoryComputer, { ReflectionMetrics, SelfFunctor } from '../core/dimensional-ascension/02-reflexive-category';
import UniversalCache, { DimensionalCache, DimensionalCacheConfig } from '../cache/dimensional-cache';

// ═══════════════════════════════════════════════════════════════
// TYPE DEFINITIONS | 类型定义
// ═══════════════════════════════════════════════════════════════

/**
 * Dimensional State | 维度状态
 */
export interface DimensionalState {
  // D1: Awareness
  awareness: {
    dynamics: AwarenessDynamics | null;
    metrics: AwarenessMetrics | null;
  };
  
  // D2: Reflection
  reflection: {
    functor: SelfFunctor | null;
    metrics: ReflectionMetrics | null;
  };
  
  // D3-D6: Placeholders for future implementation
  noSelf: any | null;
  otherShore: any | null;
  wisdom: any | null;
  sage: any | null;
}

/**
 * Integrated Dimensional Metrics | 整合维度指标
 */
export interface IntegratedMetrics {
  // Individual dimension scores
  dimensions: {
    awareness: number;
    reflection: number;
    noSelf: number;
    otherShore: number;
    wisdom: number;
    sage: number;
  };
  
  // Cross-dimensional integration
  integration: {
    // How well dimensions work together
    coherence: number;  // [0, 1]
    
    // Overall dimensional development
    overall: number;  // [0, 1]
    
    // Which dimension needs attention
    weakestDimension: string;
    
    // Which dimension is strongest
    strongestDimension: string;
  };
  
  // Timestamp
  timestamp: string;
}

/**
 * Dimensional Engine Configuration | 维度引擎配置
 */
export interface DimensionalEngineConfig {
  cache: {
    enabled: boolean;
    maxSize: number;
  };
  
  computation: {
    parallel: boolean;
    lazyEvaluation: boolean;
  };
  
  dimensions: {
    enabled: Array<'d1' | 'd2' | 'd3' | 'd4' | 'd5' | 'd6'>;
  };
}

// ═══════════════════════════════════════════════════════════════
// DIMENSIONAL ENGINE | 维度引擎
// ═══════════════════════════════════════════════════════════════

/**
 * HeartFlow Dimensional Engine | 心流维度引擎
 * 
 * Main entry point for all dimensional computations.
 * 所有维度计算的主入口。
 */
export class DimensionalEngine extends EventEmitter {
  // Dimension computers
  private awarenessComputer: AwarenessFieldComputer;
  private reflectionComputer: ReflexiveCategoryComputer;
  
  // Cache layer
  private cache: UniversalCache | null;
  private dimensionalCache: DimensionalCache | null;
  
  // State
  private currentState: DimensionalState | null = null;
  
  // Configuration
  private config: DimensionalEngineConfig;
  
  constructor(config?: Partial<DimensionalEngineConfig>) {
    super();
    
    // Initialize dimension computers
    this.awarenessComputer = new AwarenessFieldComputer();
    this.reflectionComputer = new ReflexiveCategoryComputer();
    
    // Initialize cache
    const cacheEnabled = config?.cache?.enabled ?? true;
    
    if (cacheEnabled) {
      this.cache = new UniversalCache({
        maxSize: config?.cache?.maxSize ?? 1000,
        defaultTTL: 300000,  // 5 minutes
        cleanupInterval: 60000  // 1 minute
      });
      
      const cacheConfig: DimensionalCacheConfig = {
        awareness: { ttl: 60000 },      // 60s
        reflection: { ttl: 300000 },    // 300s
        noSelf: { ttl: 1800000 },       // 1800s
        otherShore: { ttl: 3600000 },   // 3600s
        wisdom: { ttl: 'session' },
        sage: { ttl: 'persistent' }
      };
      
      this.dimensionalCache = this.cache.createDimensionalCache(cacheConfig);
    } else {
      this.cache = null;
      this.dimensionalCache = null;
    }
    
    // Default configuration
    this.config = {
      cache: {
        enabled: cacheEnabled,
        maxSize: config?.cache?.maxSize ?? 1000
      },
      computation: {
        parallel: config?.computation?.parallel ?? true,
        lazyEvaluation: config?.computation?.lazyEvaluation ?? true
      },
      dimensions: {
        enabled: config?.dimensions?.enabled ?? ['d1', 'd2']
      }
    };
    
    // Initialize state
    this.currentState = {
      awareness: { dynamics: null, metrics: null },
      reflection: { functor: null, metrics: null },
      noSelf: null,
      otherShore: null,
      wisdom: null,
      sage: null
    };
  }
  
  // ═══════════════════════════════════════════════════════════
  // CORE COMPUTATION | 核心计算
  // ═══════════════════════════════════════════════════════════
  
  /**
   * Compute Full Dimensional State
   * 计算完整维度状态
   * 
   * @param input - Input stimulus and context
   */
  async compute(input: DimensionalInput): Promise<DimensionalState> {
    const state: DimensionalState = {
      awareness: { dynamics: null, metrics: null },
      reflection: { functor: null, metrics: null },
      noSelf: null,
      otherShore: null,
      wisdom: null,
      sage: null
    };
    
    // D1: Awareness (always computed)
    state.awareness = await this.computeAwareness(input, this.config.computation.parallel);
    
    // D2: Reflection (always computed)
    state.reflection = await this.computeReflection(input, this.config.computation.parallel);
    
    // D3-D6: Not yet implemented
    // Will be added in future versions
    
    // Update current state
    this.currentState = state;
    
    // Emit state update
    this.emit('stateUpdate', state);
    
    return state;
  }
  
  // ═══════════════════════════════════════════════════════════
  // DIMENSION D1: AWARENESS | 觉察
  // ═══════════════════════════════════════════════════════════
  
  /**
   * Compute Awareness Dimension
   * 计算觉察维度
   */
  private async computeAwareness(
    input: DimensionalInput,
    parallel: boolean
  ): Promise<{ dynamics: AwarenessDynamics | null; metrics: AwarenessMetrics | null }> {
    const computeFn = async () => {
      // Compute awareness field
      const dynamics = this.awarenessComputer.compute(
        input.awarenessStimulus,
        input.mentalContext
      );
      
      // Compute metrics
      const metrics = this.awarenessComputer.computeMetrics(dynamics);
      
      return { dynamics, metrics };
    };
    
    // Use cache if enabled
    if (this.dimensionalCache && this.config.cache.enabled) {
      const cacheKey = this.generateAwarenessCacheKey(input);
      
      return await this.dimensionalCache.getAwareness(cacheKey, computeFn);
    }
    
    return await computeFn();
  }
  
  /**
   * Generate Awareness Cache Key
   * 生成觉察缓存键
   */
  private generateAwarenessCacheKey(input: DimensionalInput): string {
    const s = input.awarenessStimulus;
    const c = input.mentalContext;
    
    return `${s.valence}:${s.arousal}:${s.salience}:${c.clarity}:${c.focus}`;
  }
  
  // ═══════════════════════════════════════════════════════════
  // DIMENSION D2: REFLECTION | 自省
  // ═══════════════════════════════════════════════════════════
  
  /**
   * Compute Reflection Dimension
   * 计算自省维度
   */
  private async computeReflection(
    input: DimensionalInput,
    parallel: boolean
  ): Promise<{ functor: SelfFunctor | null; metrics: ReflectionMetrics | null }> {
    const computeFn = async () => {
      // Get current reflection state
      const prevReflection = this.reflectionComputer.getCurrentState().functor || undefined;
      
      // Perform reflection
      const functor = this.reflectionComputer.reflect(
        input.mentalProcesses,
        prevReflection
      );
      
      // Compute coherence
      const coherence = this.reflectionComputer.computeCoherence(functor);
      
      // Compute fixed-point
      const fixedPoint = this.reflectionComputer.checkFixedPoint(functor);
      
      // Compute metrics
      const metrics = this.reflectionComputer.computeMetrics(functor, coherence, fixedPoint);
      
      return { functor, metrics };
    };
    
    // Use cache if enabled
    if (this.dimensionalCache && this.config.cache.enabled) {
      const cacheKey = this.generateReflectionCacheKey(input);
      
      return await this.dimensionalCache.getReflection(cacheKey, computeFn);
    }
    
    return await computeFn();
  }
  
  /**
   * Generate Reflection Cache Key
   * 生成自省缓存键
   */
  private generateReflectionCacheKey(input: DimensionalInput): string {
    const processIds = input.mentalProcesses.map(p => p.id).sort().join(',');
    return `processes:${processIds}:count:${input.mentalProcesses.length}`;
  }
  
  // ═══════════════════════════════════════════════════════════
  // INTEGRATED METRICS | 整合指标
  // ═══════════════════════════════════════════════════════════
  
  /**
   * Compute Integrated Dimensional Metrics
   * 计算整合维度指标
   */
  computeIntegratedMetrics(state: DimensionalState): IntegratedMetrics {
    // Individual dimension scores
    const dimensions = {
      awareness: state.awareness.metrics?.overall ?? 0,
      reflection: state.reflection.metrics?.overall ?? 0,
      noSelf: 0,  // Not implemented
      otherShore: 0,  // Not implemented
      wisdom: 0,  // Not implemented
      sage: 0  // Not implemented
    };
    
    // Find strongest and weakest
    const dimEntries = Object.entries(dimensions);
    const sorted = dimEntries.sort((a, b) => b[1] - a[1]);
    
    const strongestDimension = sorted[0][0];
    const weakestDimension = sorted[sorted.length - 1][0];
    
    // Compute integration coherence
    // (How balanced are the dimensions?)
    const values = dimEntries.map(([, v]) => v);
    const mean = values.reduce((sum, v) => sum + v, 0) / values.length;
    const variance = values.reduce((sum, v) => sum + Math.pow(v - mean, 2), 0) / values.length;
    const std = Math.sqrt(variance);
    
    // Lower std = more balanced = higher coherence
    const coherence = 1 / (1 + std);
    
    // Overall (average of all dimensions)
    const overall = mean;
    
    return {
      dimensions,
      integration: {
        coherence,
        overall,
        weakestDimension,
        strongestDimension
      },
      timestamp: new Date().toISOString()
    };
  }
  
  // ═══════════════════════════════════════════════════════════
  // STATE ACCESS | 状态访问
  // ═══════════════════════════════════════════════════════════
  
  /**
   * Get Current State
   * 获取当前状态
   */
  getCurrentState(): DimensionalState | null {
    return this.currentState;
  }
  
  /**
   * Get Cache Statistics
   * 获取缓存统计
   */
  getCacheStats(): any {
    if (!this.cache) {
      return { enabled: false };
    }
    
    return {
      enabled: true,
      ...this.cache.getStats()
    };
  }
  
  /**
   * Clear Cache
   * 清空缓存
   */
  clearCache(): void {
    if (this.cache) {
      this.cache.clear();
      this.emit('cacheCleared');
    }
  }
  
  /**
   * Invalidate Dimension Cache
   * 失效维度缓存
   */
  invalidateDimensionCache(dimension: 'd1' | 'd2' | 'd3' | 'd4' | 'd5' | 'd6'): void {
    if (this.dimensionalCache) {
      this.dimensionalCache.invalidateDimension(dimension);
      this.emit('dimensionInvalidated', { dimension });
    }
  }
}

// ═══════════════════════════════════════════════════════════════
// INPUT TYPES | 输入类型
// ═══════════════════════════════════════════════════════════════

export interface DimensionalInput {
  // D1: Awareness input
  awarenessStimulus: {
    valence?: number;
    arousal?: number;
    salience?: number;
    novelty?: number;
  };
  
  mentalContext: {
    clarity?: number;
    focus?: number;
    openness?: number;
    confidence?: number;
  };
  
  // D2: Reflection input
  mentalProcesses: Array<{
    id: string;
    type: 'thought' | 'emotion' | 'perception' | 'memory' | 'intention';
    content: string;
    timestamp: number;
    metadata?: Record<string, any>;
  }>;
}

// ═══════════════════════════════════════════════════════════════
// EXPORT | 导出
// ═══════════════════════════════════════════════════════════════

export default DimensionalEngine;
