task-master-neo-sdlc/src/core/neo/agents/database-manager.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';

// Assume some external DB utility or ORM might be used in a real scenario
// import dbUtils from '../../utils/dbUtils';

export class DatabaseManagerAgent {
  constructor(knowledgeGraph, workflow) {
    this.knowledgeGraph = knowledgeGraph;
    this.workflow = workflow;
  }

  /**
   * Generates a plan for database schema migration.
   * @param {string} currentSchemaId - ID of the current schema node in KG.
   * @param {string} targetSchemaId - ID of the target schema node in KG.
   * @returns {Promise<object>} A migration plan object.
   */
  async planSchemaMigration(currentSchemaId, targetSchemaId) {
    console.log(`Planning migration from ${currentSchemaId} to ${targetSchemaId}`);
    const [currentNode, targetNode] = await Promise.all([
      this.knowledgeGraph.findNodes({ id: currentSchemaId, type: 'db_schema' }).then(n => n[0]),
      this.knowledgeGraph.findNodes({ id: targetSchemaId, type: 'db_schema' }).then(n => n[0])
    ]);

    if (!currentNode || !targetNode) {
      throw new Error('Could not find current or target schema definition.');
    }

    // Placeholder for migration planning logic (e.g., diffing schemas, generating SQL ALTER statements)
    const planId = `migrationPlan_${Date.now()}`;
    const plan = {
      id: planId,
      fromSchema: currentSchemaId,
      toSchema: targetSchemaId,
      steps: [
        `-- Migration plan from ${currentSchemaId} to ${targetSchemaId}`,
        '-- Step 1: Add new columns...',
        '-- Step 2: Modify existing tables...',
        '-- Step 3: Drop removed columns...',
        '-- Apply changes... (placeholder)'
      ],
      warnings: [],
      status: 'pending' // pending, executing, completed, failed
    };

    // Add plan to knowledge graph
    await this.knowledgeGraph.addNode({
      id: `dbMigrationPlan:${planId}`,
      type: 'db_migration_plan',
      data: plan
    });

    console.log(`Migration plan ${planId} created.`);
    return plan;
  }

  /**
   * Triggers the execution of a database migration plan.
   * @param {string} planId - The ID of the migration plan.
   * @returns {Promise<void>}
   */
  async executeMigration(planId) {
    console.log(`Executing migration plan: ${planId}`);
    const planNode = await this.knowledgeGraph.findNodes({ id: `dbMigrationPlan:${planId}` }).then(n => n[0]);

    if (!planNode) {
      throw new Error(`Migration plan ${planId} not found.`);
    }

    // In a real scenario, this would interact with DB utilities/ORM to apply the migration steps.
    // Update status in KG
    planNode.data.status = 'executing';
    await this.knowledgeGraph.updateContext({ id: planNode.id, data: planNode.data });

    // Simulate execution
    await new Promise(resolve => setTimeout(resolve, 100)); // Placeholder delay

    // Update status to completed (or failed on error)
    planNode.data.status = 'completed';
    await this.knowledgeGraph.updateContext({ id: planNode.id, data: planNode.data });

    console.log(`Migration plan ${planId} executed successfully.`);
    // Potentially trigger workflows based on completion
    // await this.workflow.triggerEvent('dbMigrationCompleted', { planId });
  }

  /**
   * Generates database seeding instructions or scripts.
   * @param {string} schemaId - ID of the target schema.
   * @param {object} options - Seeding options (e.g., number of records, environment).
   * @returns {Promise<object>} A seeding instruction object.
   */
  async generateSeedingInstructions(schemaId, options = {}) {
    console.log(`Generating seeding instructions for schema ${schemaId} with options:`, options);
    const schemaNode = await this.knowledgeGraph.findNodes({ id: schemaId, type: 'db_schema' }).then(n => n[0]);

    if (!schemaNode) {
      throw new Error(`Schema ${schemaId} not found.`);
    }

    // Placeholder for seeding script generation based on schema
    const instructionsId = `seedInstructions_${Date.now()}`;
    const instructions = {
      id: instructionsId,
      schemaId,
      options,
      script: [
        `-- Seeding instructions for schema ${schemaId}`,
        `-- Environment: ${options.environment || 'development'}`,
        'INSERT INTO users (name, email) VALUES (...); -- Placeholder'
      ],
      status: 'generated'
    };

    await this.knowledgeGraph.addNode({
      id: `dbSeedInstructions:${instructionsId}`,
      type: 'db_seed_instructions',
      data: instructions
    });

    console.log(`Seeding instructions ${instructionsId} generated.`);
    return instructions;
  }

  /**
   * Analyzes a query for potential optimizations.
   * @param {string} query - The SQL query string.
   * @param {string} schemaId - Context schema ID.
   * @returns {Promise<object>} An optimization analysis report.
   */
  async analyzeQueryPerformance(query, schemaId) {
    console.log(`Analyzing query performance for schema ${schemaId}: ${query}`);
    const schemaNode = await this.knowledgeGraph.findNodes({ id: schemaId, type: 'db_schema' }).then(n => n[0]);

    if (!schemaNode) {
      console.warn(`Schema ${schemaId} not found for query analysis context.`);
      // Proceed without schema context or throw error depending on requirements
    }

    // Placeholder for query analysis (e.g., EXPLAIN query, index checks)
    const analysisId = `queryAnalysis_${Date.now()}`;
    const analysis = {
      id: analysisId,
      query,
      schemaId,
      recommendations: [],
      potentialIssues: []
    };

    // Example checks
    if (/SELECT \*/i.test(query)) {
      analysis.potentialIssues.push('Using SELECT * can be inefficient; specify required columns.');
      analysis.recommendations.push('Replace SELECT * with explicit column names.');
    }
    if (!/WHERE/i.test(query) && /SELECT/i.test(query)) {
        // Basic check, real analysis would be more complex
        analysis.potentialIssues.push('Query lacks a WHERE clause, potentially scanning large tables.');
    }

    await this.knowledgeGraph.addNode({
      id: `dbQueryAnalysis:${analysisId}`,
      type: 'db_query_analysis',
      data: analysis
    });

    console.log(`Query analysis ${analysisId} completed.`);
    return analysis;
  }
}