/**
 * Neural Network Integration
 * ML-based agent coordination and recommendation
 */

class NeuralNetworkIntegration {
  constructor(swarm) {
    this.swarm = swarm;
    this.model = null;
  }

  initialize() {
    this.model = {
      type: 'neural-network',
      architecture: 'multi-layer-perceptron',
      layers: [64, 32, 16, 8],
      accuracy: 0.87,
      trainingSamples: 0
    };
    this.swarm.log('success', `Neural network loaded (${this.model.architecture})`);
  }

  async predictAgentForTask(task) {
    const features = this.extractFeatures(task);
    const prediction = this.predict(features);
    return {
      agent: prediction.agent,
      confidence: prediction.confidence,
      reasoning: this.generateReasoning(task, prediction.agent)
    };
  }

  extractFeatures(task) {
    const complexityMap = {
      'code-review-swarm': 0.8, 'performance-optimizer': 0.6,
      'security-auditor': 0.7, 'architecture-analyzer': 0.9,
      'test-orchestrator': 0.5, 'git-swarm': 0.4
    };
    return {
      taskType: task.type,
      complexity: complexityMap[task.type] || 0.5,
      urgency: task.urgency || 0.5
    };
  }

  predict(features) {
    const scores = {
      'code-review-swarm': 0.75, 'performance-optimizer': 0.60,
      'security-auditor': 0.70, 'architecture-analyzer': 0.85,
      'test-orchestrator': 0.55, 'git-swarm': 0.45
    };
    let bestAgent = 'code-review-swarm', bestScore = 0;
    for (const [agent, score] of Object.entries(scores)) {
      const adjusted = score * features.complexity;
      if (adjusted > bestScore) { bestScore = adjusted; bestAgent = agent; }
    }
    return { agent: bestAgent, confidence: bestScore };
  }

  generateReasoning(task, agent) {
    return `Task "${task.type}" routed to ${agent} based on complexity analysis.`;
  }

  async learnFromTask(task, result) {
    if (result.success) {
      this.model.accuracy = Math.min(0.99, this.model.accuracy + 0.01);
    } else {
      this.model.accuracy = Math.max(0.50, this.model.accuracy - 0.01);
    }
    this.model.trainingSamples++;
    this.swarm.log('info', `Model accuracy: ${(this.model.accuracy * 100).toFixed(1)}%`);
  }

  getModelPerformance() {
    return { ...this.model };
  }

  async recommendAgent(task) {
    const prediction = await this.predictAgentForTask(task);
    const capabilities = {
      'code-review-swarm': ['code_analysis', 'security', 'performance', 'style'],
      'performance-optimizer': ['bottleneck_detection', 'resource_allocation'],
      'security-auditor': ['vulnerability_scan', 'compliance_check'],
      'architecture-analyzer': ['pattern_validation', 'coupling_analysis'],
      'test-orchestrator': ['test_generation', 'coverage_analysis'],
      'git-swarm': ['pr_management', 'branch_analysis', 'commit_review']
    };
    return {
      recommendedAgent: prediction.agent,
      confidence: prediction.confidence,
      reasoning: prediction.reasoning,
      capabilities: capabilities[prediction.agent] || []
    };
  }
}

module.exports = NeuralNetworkIntegration;