import { Logger } from '../../utils/logger';

/**
 * @interface WasmEngineConfig
 * @description Configuration for the WASM Neural Engine.
 */
export interface WasmEngineConfig {
  simdEnabled: boolean;
  threading: 'multi' | 'single';
  memoryLimit: string; // e.g., '1GB'
  optimization: 'speed' | 'size' | 'balanced';
  // Add paths to WASM binaries, TensorFlow.js backend config, etc.
}

/**
 * @interface WasmEngineOperations
 * @description Defines operations for the WASM Neural Engine.
 */
export interface WasmEngineOperations {
  loadModel(modelPath: string): Promise<any>;
  runInference(model: any, inputData: any): Promise<any>;
  compileWasmModule(sourceCode: string): Promise<WebAssembly.Module>;
  optimizeWasmModule(module: WebAssembly.Module): Promise<WebAssembly.Module>;
}

/**
 * @class WasmNeuralEngine
 * @description Provides high-performance neural processing with WebAssembly acceleration.
 */
export class WasmNeuralEngine implements WasmEngineOperations {
  private config: WasmEngineConfig;
  private logger: Logger;
  // Placeholder for TensorFlow.js WASM backend or custom WASM runtime
  // private tfWasmBackend: any;

  constructor(config: WasmEngineConfig) {
    this.config = config;
    this.logger = new Logger('WasmNeuralEngine');
    this.logger.info('WASM Neural Engine initialized.');
    // Initialize TensorFlow.js WASM backend (conceptual)
    // tf.setBackend('wasm');
    // tf.ready().then(() => this.logger.info('TensorFlow.js WASM backend ready.'));
  }

  /**
   * Loads a neural network model into the WASM engine.
   * @param {string} modelPath The path to the model (e.g., URL or local file).
   * @returns {Promise<any>} The loaded model instance.
   */
  public async loadModel(modelPath: string): Promise<any> {
    this.logger.info(`Loading neural network model from: ${modelPath}`);
    // Placeholder for actual model loading (e.g., tf.loadGraphModel or custom WASM module loading)
    await new Promise(resolve => setTimeout(resolve, 500)); // Simulate loading time
    const simulatedModel = { id: `model-${Date.now()}`, path: modelPath, type: 'simulated_nn' };
    this.logger.debug('Model loaded (simulated).', simulatedModel);
    return simulatedModel;
  }

  /**
   * Runs inference on a loaded neural network model using WASM.
   * @param {any} model The loaded model instance.
   * @param {any} inputData The input data for inference (e.g., tensor).
   * @returns {Promise<any>} The inference result.
   */
  public async runInference(model: any, inputData: any): Promise<any> {
    this.logger.info(`Running inference on model ${model.id} with input data...`);
    // Placeholder for actual WASM-accelerated inference
    await new Promise(resolve => setTimeout(resolve, 50)); // Simulate inference time
    const simulatedResult = { modelId: model.id, output: 'simulated_inference_output', confidence: Math.random() };
    this.logger.debug('Inference complete (simulated).', simulatedResult);
    return simulatedResult;
  }

  /**
   * Compiles WebAssembly source code into a module.
   * @param {string} sourceCode The WebAssembly text format (WAT) or binary code.
   * @returns {Promise<WebAssembly.Module>} The compiled WebAssembly module.
   */
  public async compileWasmModule(sourceCode: string): Promise<WebAssembly.Module> {
    this.logger.info('Compiling WASM module (conceptual)...');
    // Placeholder for actual WASM compilation
    await new Promise(resolve => setTimeout(resolve, 100));
    // Return a dummy WebAssembly.Module object
    return {} as WebAssembly.Module;
  }

  /**
   * Optimizes a compiled WebAssembly module (conceptual).
   * @param {WebAssembly.Module} module The WebAssembly module to optimize.
   * @returns {Promise<WebAssembly.Module>} The optimized WebAssembly module.
   */
  public async optimizeWasmModule(module: WebAssembly.Module): Promise<WebAssembly.Module> {
    this.logger.info('Optimizing WASM module (conceptual)...');
    // Placeholder for WASM optimization techniques (e.g., binaryen, wasm-opt)
    await new Promise(resolve => setTimeout(resolve, 80));
    return module; // Return the same module for simulation
  }
}