/** * Strategy implementations for benchmark tasks */ import { Task, Result, ResultStatus } from '../core/models'; import { v4 as uuidv4 } from 'uuid'; /** * Base strategy interface */ export interface Strategy { execute(task: Task): Promise; } /** * Auto strategy - selects the best strategy based on the task */ export class AutoStrategy implements Strategy { async execute(task: Task): Promise { // In a real implementation, this would analyze the task and select the best strategy // For now, we'll just use a simple implementation // Create a basic result const result = new Result({ taskId: task.id, agentId: `auto-agent-${uuidv4().slice(0, 8)}`, status: ResultStatus.SUCCESS, output: { result: `Auto strategy executed task: ${task.objective}`, raw_output: `Task ${task.id} completed successfully using auto strategy selection` }, errors: [], warnings: [] }); // Set some performance metrics result.performanceMetrics.executionTime = 0.5; result.performanceMetrics.successRate = 1.0; result.performanceMetrics.throughput = 1.0; // Set some resource usage metrics result.resourceUsage.cpuPercent = 10; result.resourceUsage.averageCpuPercent = 5; result.resourceUsage.memoryMb = 100; result.resourceUsage.peakMemoryMb = 150; // Simulate some processing time await new Promise(resolve => setTimeout(resolve, 100)); // Mark as completed result.completedAt = new Date(); return result; } } /** * Development strategy - for software development tasks */ export class DevelopmentStrategy implements Strategy { async execute(task: Task): Promise { // Simulate development task execution // Create a basic result const result = new Result({ taskId: task.id, agentId: `dev-agent-${uuidv4().slice(0, 8)}`, status: ResultStatus.SUCCESS, output: { result: `Development strategy executed task: ${task.objective}`, raw_output: `Task ${task.id} completed using development approach with code generation and testing`, sections: { code: 'function example() { return "Hello world"; }', tests: 'test("example function", () => { expect(example()).toBe("Hello world"); });' } }, errors: [], warnings: [] }); // Set performance metrics result.performanceMetrics.executionTime = 1.5; result.performanceMetrics.successRate = 0.95; result.performanceMetrics.throughput = 0.67; // Set resource usage metrics result.resourceUsage.cpuPercent = 30; result.resourceUsage.averageCpuPercent = 20; result.resourceUsage.memoryMb = 200; result.resourceUsage.peakMemoryMb = 250; // Simulate processing time await new Promise(resolve => setTimeout(resolve, 300)); // Mark as completed result.completedAt = new Date(); return result; } } /** * Research strategy - for information gathering tasks */ export class ResearchStrategy implements Strategy { async execute(task: Task): Promise { // Simulate research task execution // Create a basic result const result = new Result({ taskId: task.id, agentId: `research-agent-${uuidv4().slice(0, 8)}`, status: ResultStatus.SUCCESS, output: { result: `Research strategy executed task: ${task.objective}`, raw_output: `Task ${task.id} completed with comprehensive information gathering and analysis`, sections: { findings: 'Key research findings...', analysis: 'Analysis of the results...', recommendations: 'Recommended next steps...' } }, errors: [], warnings: [] }); // Set performance metrics result.performanceMetrics.executionTime = 2.0; result.performanceMetrics.successRate = 0.9; result.performanceMetrics.throughput = 0.5; // Set resource usage metrics result.resourceUsage.cpuPercent = 25; result.resourceUsage.averageCpuPercent = 15; result.resourceUsage.memoryMb = 300; result.resourceUsage.peakMemoryMb = 350; // Simulate processing time await new Promise(resolve => setTimeout(resolve, 200)); // Mark as completed result.completedAt = new Date(); return result; } } /** * Create and return a strategy based on the strategy type */ export function create_strategy(strategyType: string): Strategy { switch (strategyType.toLowerCase()) { case 'development': return new DevelopmentStrategy(); case 'research': return new ResearchStrategy(); case 'auto': default: return new AutoStrategy(); } }