task-master-neo-sdlc/src/core/neo/agents/devops.js

Enhanced task management system with Neo SDLC agents and MCP tools for comprehensive, AI-driven software development lifecycle management.

import { KnowledgeGraph } from '../knowledge-graph';
import { AgentWorkflowSystem } from '../agent-workflow';

// This agent represents capabilities similar to the 'System Administrator' role in the YAML.
export class DevOpsAgent {
  constructor(knowledgeGraph, workflow) {
    this.knowledgeGraph = knowledgeGraph;
    this.workflow = workflow;
  }

  /**
   * Generates a basic CI/CD pipeline configuration file template.
   * @param {string} platform - Target platform (e.g., 'github_actions', 'gitlab_ci', 'jenkins').
   * @param {object} options - Configuration options (e.g., build steps, test commands).
   * @returns {Promise<object>} Object containing the filename and content of the config.
   */
  async generateCiCdConfig(platform, options = {}) {
    console.log(`Generating CI/CD config template for platform: ${platform}`);
    let filename = '';
    let content = '';

    // Placeholder content generation based on platform
    switch (platform) {
      case 'github_actions':
        filename = '.github/workflows/ci.yml';
        content = `name: CI Pipeline

on: [push, pull_request]

jobs:
  build:
    runs-on: ubuntu-latest
    steps:
      - uses: actions/checkout@v3
      - name: Setup Node.js
        uses: actions/setup-node@v3
        with:
          node-version: '${options.nodeVersion || '18'}'
      - run: npm ci
      - run: npm run build --if-present
      - run: npm test # Add test command from options
`;
        break;
      // Add cases for gitlab_ci, jenkins etc.
      default:
        throw new Error(`Unsupported CI/CD platform: ${platform}`);
    }

    // In a real scenario, this might save the file or just return the content.
    // We'll also add a representation to the Knowledge Graph.
    const configId = `ciConfig:${platform}_${Date.now()}`;
    await this.knowledgeGraph.addNode({
      id: configId,
      type: 'cicd_configuration',
      data: { platform, options, filename, contentPreview: content.substring(0, 200) + '...' }
    });

    console.log(`Generated placeholder CI/CD config for ${platform} at ${filename}`);
    return { filename, content };
  }

  /**
   * Generates a basic deployment configuration file template.
   * @param {string} targetEnvironment - e.g., 'development', 'staging', 'production'.
   * @param {string} platform - e.g., 'aws_ecs', 'vercel', 'kubernetes'.
   * @param {object} options - Deployment specific options.
   * @returns {Promise<object>} Object containing filename and content of the config.
   */
  async generateDeploymentConfig(targetEnvironment, platform, options = {}) {
    console.log(`Generating deployment config template for ${platform} in ${targetEnvironment}`);
    let filename = 'deploy.config.yml'; // Generic name
    let content = `# Deployment config for ${platform} - ${targetEnvironment}\n`;

    // Placeholder content generation
    content += `platform: ${platform}\n`;
    content += `environment: ${targetEnvironment}\n`;
    content += `options:\n`;
    for (const [key, value] of Object.entries(options)) {
      content += `  ${key}: ${value}\n`;
    }
    content += '# Add platform-specific deployment steps here...'

     // Add representation to the Knowledge Graph.
    const configId = `deployConfig:${platform}_${targetEnvironment}_${Date.now()}`;
    await this.knowledgeGraph.addNode({
      id: configId,
      type: 'deployment_configuration',
      data: { platform, targetEnvironment, options, filename, contentPreview: content.substring(0, 200) + '...' }
    });

    console.log(`Generated placeholder deployment config for ${platform} at ${filename}`);
    return { filename, content };
  }

  /**
   * Generates a basic load balancer configuration template.
   * @param {string} type - Type of load balancer (e.g., 'nginx', 'aws_alb', 'haproxy').
   * @param {object} options - LB specific options (e.g., backend_servers, health_check_path).
   * @returns {Promise<object>} Object containing filename and content of the config.
   */
  async generateLoadBalancerConfig(type, options = {}) {
    console.log(`Generating load balancer config template for type: ${type}`);
    let filename = `${type}_lb.conf`;
    let content = `# Load Balancer Configuration - ${type}\n`;

    // Placeholder content generation
    switch (type) {
      case 'nginx':
        content += `http {
  upstream backend {
`;
        (options.backend_servers || ['server1.example.com', 'server2.example.com']).forEach(server => {
          content += `    server ${server};\n`;
        });
        content += `  }

  server {
    listen 80;
    location / {
      proxy_pass http://backend;
      # Add health checks, SSL termination etc.
    }
  }
}`;
        break;
      // Add cases for aws_alb, haproxy etc.
      default:
        content += `# Configuration for ${type}\n`;
        content += JSON.stringify(options, null, 2);
        break;
    }

    const configId = `lbConfig:${type}_${Date.now()}`;
    await this.knowledgeGraph.addNode({
      id: configId,
      type: 'load_balancer_configuration',
      data: { type, options, filename, contentPreview: content.substring(0, 200) + '...' }
    });

    console.log(`Generated placeholder load balancer config for ${type} at ${filename}`);
    return { filename, content };
  }

  /**
   * Generates a basic horizontal scaling configuration template.
   * @param {string} platform - Target platform (e.g., 'kubernetes_hpa', 'aws_asg').
   * @param {object} options - Scaling options (e.g., minReplicas, maxReplicas, cpuThreshold).
   * @returns {Promise<object>} Object containing filename and content of the config.
   */
  async generateScalingConfig(platform, options = {}) {
    console.log(`Generating scaling config template for platform: ${platform}`);
    let filename = `${platform}_scaling.yml`;
    let content = `# Scaling Configuration - ${platform}\n`;

    // Placeholder content generation
    switch (platform) {
      case 'kubernetes_hpa':
        content += `apiVersion: autoscaling/v2
kind: HorizontalPodAutoscaler
metadata:
  name: ${options.appName || 'my-app'}-hpa
spec:
  scaleTargetRef:
    apiVersion: apps/v1
    kind: Deployment
    name: ${options.deploymentName || 'my-app'}
  minReplicas: ${options.minReplicas || 1}
  maxReplicas: ${options.maxReplicas || 5}
  metrics:
  - type: Resource
    resource:
      name: cpu
      target:
        type: Utilization
        averageUtilization: ${options.cpuThreshold || 80}
`;
        break;
      // Add cases for aws_asg etc.
      default:
        content += `# Configuration for ${platform}\n`;
        content += JSON.stringify(options, null, 2);
        break;
    }

    const configId = `scalingConfig:${platform}_${Date.now()}`;
    await this.knowledgeGraph.addNode({
      id: configId,
      type: 'scaling_configuration',
      data: { platform, options, filename, contentPreview: content.substring(0, 200) + '...' }
    });

    console.log(`Generated placeholder scaling config for ${platform} at ${filename}`);
    return { filename, content };
  }

  // Other methods could include:
  // - setupInfrastructure(config): Apply infrastructure-as-code.
  // - deployApplication(version, environment): Trigger deployment.
  // - monitorDeployment(deploymentId): Check deployment status.
}