import { Logger } from '../../utils/logger';
import { NeuralCoordinationModels } from '../neural/coordination-models';

/**
 * @interface PredictiveSystemConfig
 * @description Configuration for the Predictive Coordination System.
 */
export interface PredictiveSystemConfig {
  projectID: string;
  // Add configuration for AI Platform models, prediction thresholds, etc.
}

/**
 * @interface PredictiveSystemOperations
 * @description Defines operations for predictive coordination capabilities.
 */
export interface PredictiveSystemOperations {
  predictBottlenecks(systemMetrics: any): Promise<string[]>;
  proactiveResourceAllocation(predictedLoad: any): Promise<any>;
  scheduleTask(task: any, availableResources: any): Promise<any>;
  predictLoad(historicalData: any): Promise<any>;
  predictFailure(componentMetrics: any): Promise<boolean>;
}

/**
 * @class PredictiveCoordinationSystem
 * @description Implements predictive coordination capabilities for enhanced hive-mind operations.
 */
export class PredictiveCoordinationSystem implements PredictiveSystemOperations {
  private config: PredictiveSystemConfig;
  private logger: Logger;
  private neuralModels: NeuralCoordinationModels;

  constructor(config: PredictiveSystemConfig, neuralModels: NeuralCoordinationModels) {
    this.config = config;
    this.logger = new Logger('PredictiveCoordinationSystem');
    this.neuralModels = neuralModels;
    this.logger.info('Predictive Coordination System initialized.');
  }

  /**
   * Predicts coordination bottlenecks using machine learning models.
   * @param {any} systemMetrics Current system performance metrics.
   * @returns {Promise<string[]>} A list of predicted bottlenecks.
   */
  public async predictBottlenecks(systemMetrics: any): Promise<string[]> {
    this.logger.info('Predicting coordination bottlenecks...');
    // Use neural network for anomaly detection or pattern recognition
    const isAnomaly = await this.neuralModels.detectAnomaly(systemMetrics);
    if (isAnomaly) {
      this.logger.warn('Anomaly detected, potentially indicating a bottleneck.');
      return ['High latency in communication', 'Worker overload']; // Simulated
    }
    this.logger.debug('No immediate bottlenecks predicted.');
    return [];
  }

  /**
   * Performs proactive resource allocation based on predicted load.
   * @param {any} predictedLoad Data representing the predicted future load.
   * @returns {Promise<any>} Recommended resource allocation changes.
   */
  public async proactiveResourceAllocation(predictedLoad: any): Promise<any> {
    this.logger.info('Performing proactive resource allocation...', predictedLoad);
    // Use neural network to optimize resource allocation
    const recommendations = await this.neuralModels.optimizeSystemPerformance(predictedLoad);
    this.logger.debug('Resource allocation recommendations:', recommendations);
    return recommendations;
  }

  /**
   * Intelligently schedules a task with deadline optimization.
   * @param {any} task The task to schedule.
   * @param {any} availableResources Information about available resources.
   * @returns {Promise<any>} The optimized task schedule.
   */
  public async scheduleTask(task: any, availableResources: any): Promise<any> {
    this.logger.info('Intelligently scheduling task...', task);
    // Use neural network to predict optimal worker and schedule
    const optimalWorker = await this.neuralModels.predictOptimalWorker(task, availableResources.workers);
    const schedule = { taskId: task.id, assignedWorker: optimalWorker, startTime: Date.now() };
    this.logger.debug('Task scheduled:', schedule);
    return schedule;
  }

  /**
   * Predicts future load using time-series analysis and neural networks.
   * @param {any} historicalData Historical workload data.
   * @returns {Promise<any>} Predicted future load.
   */
  public async predictLoad(historicalData: any): Promise<any> {
    this.logger.info('Predicting future load using neural networks...');
    // Use neural network for time-series prediction
    const predictedLoad = await this.neuralModels.runInference(this.neuralModels.loadedModel, historicalData);
    this.logger.debug('Predicted load:', predictedLoad);
    return predictedLoad;
  }

  /**
   * Predicts component failure using anomaly detection.
   * @param {any} componentMetrics Real-time metrics of a component.
   * @returns {Promise<boolean>} True if failure is predicted, false otherwise.
   */
  public async predictFailure(componentMetrics: any): Promise<boolean> {
    this.logger.info('Predicting component failure...');
    const isFailurePredicted = await this.neuralModels.detectAnomaly(componentMetrics);
    this.logger.debug(`Failure predicted: ${isFailurePredicted}`);
    return isFailurePredicted;
  }
}