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task-master-neo-sdlc

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

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import { KnowledgeGraph } from '../knowledge-graph'; import { AgentWorkflowSystem } from '../agent-workflow'; // Assume potential interaction with DB agent or ORM // import { DatabaseManagerAgent } from './database-manager'; export class BackendDevelopmentAgent { constructor(knowledgeGraph, workflow /*, databaseManagerAgent */) { this.knowledgeGraph = knowledgeGraph; this.workflow = workflow; // this.databaseManager = databaseManagerAgent; } /** * Creates a new API endpoint definition. * @param {string} path - Endpoint path (e.g., '/api/users'). * @param {string} method - HTTP method (e.g., 'GET', 'POST'). * @param {string} description - Description of the endpoint. * @param {object} requestSchema - Schema definition for the request body/params. * @param {object} responseSchema - Schema definition for the response body. * @returns {Promise<object>} The created API endpoint node data. */ async createApiEndpoint(path, method, description, requestSchema, responseSchema) { console.log(`Creating API endpoint: ${method} ${path}`); const endpointId = `api_endpoint:${method}:${path.replace(/\//g, '_')}`; const endpointData = { id: endpointId, path, method, description, requestSchema, responseSchema, status: 'defined' // defined, implemented, deprecated // Add other relevant details like authentication requirements, rate limits etc. }; // Add API endpoint definition to knowledge graph await this.knowledgeGraph.addNode({ id: endpointId, type: 'api_endpoint', data: endpointData }); console.log(`API Endpoint ${endpointId} definition created.`); return endpointData; } /** * Implements the business logic for a defined API endpoint. * @param {string} endpointId - The ID of the API endpoint node in KG. * @param {string} logicImplementation - Code or description of the implementation. * @param {Array<string>} [dependencies=[]] - IDs of other services or data models used. * @returns {Promise<object>} The updated API endpoint node data. */ async implementApiLogic(endpointId, logicImplementation, dependencies = []) { console.log(`Implementing logic for API endpoint: ${endpointId}`); const endpointNode = await this.knowledgeGraph.findNodes({ id: endpointId, type: 'api_endpoint' }).then(n => n[0]); if (!endpointNode) { throw new Error(`API Endpoint ${endpointId} definition not found.`); } // Update endpoint data with implementation details endpointNode.data.implementation = logicImplementation; endpointNode.data.status = 'implemented'; endpointNode.data.dependencies = dependencies; await this.knowledgeGraph.updateContext({ id: endpointNode.id, data: endpointNode.data }); // Add dependency edges in KG for (const depId of dependencies) { await this.knowledgeGraph.addEdge({ source: endpointId, target: depId, relationship: 'depends_on' }); } console.log(`Logic implemented for API endpoint ${endpointId}.`); return endpointNode.data; } /** * Creates or updates a database model/schema based on requirements. * @param {string} modelName - Name of the data model (e.g., 'User', 'Product'). * @param {object} schemaDefinition - The fields and types for the model. * @returns {Promise<object>} The created/updated schema node data. */ async defineDatabaseModel(modelName, schemaDefinition) { console.log(`Defining database model: ${modelName}`); const schemaId = `db_schema:${modelName.toLowerCase()}`; const schemaData = { id: schemaId, modelName, schema: schemaDefinition, version: 1 // Simple versioning, could be more sophisticated // Add relationships, indexes etc. }; // Check if node exists to update or create const existingNode = await this.knowledgeGraph.findNodes({ id: schemaId, type: 'db_schema' }).then(n => n[0]); if (existingNode) { console.log(`Updating existing schema: ${schemaId}`); // Basic version increment, real versioning needs more logic schemaData.version = (existingNode.data.version || 0) + 1; await this.knowledgeGraph.updateContext({ id: schemaId, data: schemaData }); } else { console.log(`Creating new schema: ${schemaId}`); await this.knowledgeGraph.addNode({ id: schemaId, type: 'db_schema', data: schemaData }); } // Optionally trigger migration planning via DatabaseManagerAgent // if (existingNode) { // await this.databaseManager.planSchemaMigration(existingNode.id, schemaId); // } console.log(`Database model ${modelName} defined/updated.`); return schemaData; } }