import { Logger } from '../../utils/logger';
import { WasmNeuralEngine } from './wasm-engine';

/**
 * @interface WasmOptimizationConfig
 * @description Configuration for WASM Performance Optimization.
 */
export interface WasmOptimizationConfig {
  batchSize: number;
  maxWorkers: number;
  cacheSize: string; // e.g., '100MB'
  // Add configuration for JIT, memory pools, etc.
}

/**
 * @interface WasmOptimizationOperations
 * @description Defines operations for optimizing WASM neural network performance.
 */
export interface WasmOptimizationOperations {
  applyJitOptimization(module: WebAssembly.Module): Promise<WebAssembly.Module>;
  manageMemoryPools(): Promise<void>;
  optimizeBatchProcessing(data: any[]): Promise<any[]>;
  profileWasmPerformance(): Promise<any>;
  autoTuneWasmEngine(): Promise<void>;
}

/**
 * @class WasmPerformanceOptimizer
 * @description Provides advanced optimization techniques for WASM-accelerated neural networks.
 */
export class WasmPerformanceOptimizer implements WasmOptimizationOperations {
  private config: WasmOptimizationConfig;
  private logger: Logger;
  private wasmEngine: WasmNeuralEngine;

  constructor(config: WasmOptimizationConfig, wasmEngine: WasmNeuralEngine) {
    this.config = config;
    this.logger = new Logger('WasmPerformanceOptimizer');
    this.wasmEngine = wasmEngine;
    this.logger.info('WASM Performance Optimizer initialized.');
  }

  /**
   * Applies Just-in-time (JIT) compilation optimization for WASM modules (conceptual).
   * @param {WebAssembly.Module} module The WASM module to optimize.
   * @returns {Promise<WebAssembly.Module>} The optimized WASM module.
   */
  public async applyJitOptimization(module: WebAssembly.Module): Promise<WebAssembly.Module> {
    this.logger.info('Applying JIT optimization to WASM module (conceptual)...');
    // This would involve using a JIT compiler for WASM, if available.
    await new Promise(resolve => setTimeout(resolve, 50));
    return module; // Return the same module for simulation
  }

  /**
   * Manages memory pools for efficient tensor operations (conceptual).
   * @returns {Promise<void>}
   */
  public async manageMemoryPools(): Promise<void> {
    this.logger.info('Managing WASM memory pools for efficient tensor operations (conceptual)...');
    // This would involve pre-allocating memory, reusing buffers, and minimizing garbage collection.
    await new Promise(resolve => setTimeout(resolve, 30));
  }

  /**
   * Optimizes batch processing for high-throughput scenarios (conceptual).
   * @param {any[]} data The data to process in batches.
   * @returns {Promise<any[]>} The processed data.
   */
  public async optimizeBatchProcessing(data: any[]): Promise<any[]> {
    this.logger.info(`Optimizing batch processing for ${data.length} items (conceptual)...`);
    // This would involve sending data to the WASM engine in optimized batches.
    await new Promise(resolve => setTimeout(resolve, 100));
    return data; // Return original data for simulation
  }

  /**
   * Profiles WASM performance and identifies bottlenecks (conceptual).
   * @returns {Promise<any>} Performance profiling results.
   */
  public async profileWasmPerformance(): Promise<any> {
    this.logger.info('Profiling WASM performance (conceptual)...');
    // This would involve using browser/Node.js profiling tools or custom WASM profiling APIs.
    await new Promise(resolve => setTimeout(resolve, 200));
    const profileResult = { cpuUsage: 'low', memoryUsage: 'optimized', bottlenecks: 'none' };
    this.logger.debug('WASM performance profile:', profileResult);
    return profileResult;
  }

  /**
   * Auto-tunes the WASM engine based on hardware capabilities and workload patterns (conceptual).
   * @returns {Promise<void>}
   */
  public async autoTuneWasmEngine(): Promise<void> {
    this.logger.info('Auto-tuning WASM engine (conceptual)...');
    // This would involve dynamically adjusting WASM engine parameters (e.g., thread count, memory limits)
    // based on real-time performance feedback and hardware capabilities.
    await new Promise(resolve => setTimeout(resolve, 150));
  }
}