AmazonQAuto

import { AmazonQClient, CLIAutomator, ContextAnalyzer } from 'amazonqauto-core'; import { NLPProcessor, CommandGenerator, SafetyValidator } from 'automation-engine'; class AmazonQAutoSystem { constructor(config) { this.config = config; this.qClient = new AmazonQClient(config.amazonQ); this.cliAutomator = new CLIAutomator(); this.contextAnalyzer = new ContextAnalyzer(); this.nlpProcessor = new NLPProcessor(); this.commandGenerator = new CommandGenerator(); this.safetyValidator = new SafetyValidator(); this.initializeAutomationEngine(); } async processAutomationRequest(request) { // Analyze developer intent and context const intentAnalysis = await this.nlpProcessor.analyzeIntent({ query: request.description, context: request.project_context, current_directory: request.working_directory, recent_commands: request.command_history }); // Analyze project context for better automation const projectContext = await this.contextAnalyzer.analyzeProject({ project_path: request.project_path, aws_config: request.aws_configuration, existing_resources: request.aws_resources, deployment_stage: request.environment }); // Generate optimized CLI automation plan const automationPlan = await this.generateAutomationPlan({ intent: intentAnalysis, context: projectContext, preferences: request.user_preferences, constraints: request.safety_constraints }); // Validate automation plan for safety const validationResult = await this.safetyValidator.validatePlan({ plan: automationPlan, risk_tolerance: request.risk_level, environment: projectContext.environment, resources_affected: automationPlan.affected_resources }); if (!validationResult.safe) { return { status: 'requires_confirmation', plan: automationPlan, risks: validationResult.risks, confirmation_required: true }; } // Execute automation with monitoring return await this.executeAutomationPlan(automationPlan, { monitoring: true, rollback_enabled: true, progress_reporting: true }); } async generateAutomationPlan(analysisInput) { const { intent, context, preferences } = analysisInput; // Generate Amazon Q Developer commands const qCommands = await this.commandGenerator.generateQCommands({ task_type: intent.task_category, parameters: intent.extracted_parameters, project_context: context, best_practices: true }); // Generate supporting AWS CLI commands const awsCommands = await this.commandGenerator.generateAWSCommands({ q_commands: qCommands, infrastructure_needs: context.infrastructure_requirements, environment: context.deployment_environment }); // Create orchestrated workflow const workflow = await this.createWorkflow({ q_commands: qCommands, aws_commands: awsCommands, dependencies: context.dependencies, execution_order: 'optimized', error_handling: 'comprehensive' }); return { workflow: workflow, estimated_duration: this.estimateExecutionTime(workflow), resources_affected: this.identifyAffectedResources(workflow), rollback_plan: this.generateRollbackPlan(workflow), monitoring_points: this.defineMonitoringPoints(workflow) }; } }

// AmazonQAuto Configuration const amazonQAutoConfig = { amazon_q: { profile: process.env.AWS_PROFILE || 'default', region: process.env.AWS_REGION || 'us-east-1', cli_version: 'latest', authentication: { method: 'aws_sso', session_duration: 43200, // 12 hours auto_refresh: true } }, automation_preferences: { safety_level: 'high', // low, medium, high, paranoid confirmation_required: { destructive_operations: true, production_changes: true, cost_impacting_changes: true, security_modifications: true }, command_generation: { prefer_verbose_output: true, include_dry_run_mode: true, add_progress_indicators: true, generate_documentation: true }, optimization: { parallel_execution: true, command_batching: true, resource_reuse: true, intelligent_caching: true } }, project_analysis: { scan_depth: 'comprehensive', // basic, standard, comprehensive analyze_dependencies: true, detect_frameworks: true, identify_aws_resources: true, track_configuration_drift: true, performance_profiling: true }, workflow_orchestration: { max_parallel_tasks: 5, timeout_settings: { individual_command: 300000, // 5 minutes total_workflow: 1800000, // 30 minutes long_running_operations: 3600000 // 1 hour }, error_handling: { retry_attempts: 3, backoff_strategy: 'exponential', rollback_on_failure: true, preserve_partial_progress: true }, monitoring: { real_time_progress: true, resource_usage_tracking: true, cost_estimation: true, performance_metrics: true } }, integrations: { version_control: { git_integration: true, auto_commit_changes: false, branch_protection: true }, ides: ['vscode', 'intellij', 'vim', 'emacs'], ci_cd: ['github_actions', 'gitlab_ci', 'jenkins', 'aws_codepipeline'], monitoring_tools: ['cloudwatch', 'datadog', 'new_relic', 'prometheus'] } }; // Initialize AmazonQAuto const qauto = new AmazonQAutoSystem(amazonQAutoConfig);

// Automation Analytics Engine class QAutoAnalytics { constructor(automationHistory) { this.history = automationHistory; this.mlEngine = new MachineLearningEngine(); this.patternAnalyzer = new PatternAnalyzer(); this.performanceAnalyzer = new PerformanceAnalyzer(); } generateProductivityReport() { return { time_savings: { total_hours_saved: this.calculateTimeSavings(), average_automation_efficiency: this.calculateEfficiency(), most_impactful_automations: this.identifyTopAutomations(), time_savings_by_category: this.categorizeSavings() }, quality_improvements: { error_reduction_rate: this.calculateErrorReduction(), deployment_success_rate: this.calculateSuccessRate(), rollback_frequency: this.calculateRollbackFrequency(), security_compliance_score: this.assessSecurityCompliance() }, usage_patterns: { most_used_automations: this.identifyPopularAutomations(), peak_usage_times: this.analyzePeakUsage(), team_adoption_metrics: this.measureTeamAdoption(), learning_curve_analysis: this.analyzeLearningCurve() }, optimization_opportunities: { workflow_improvements: this.suggestWorkflowImprovements(), new_automation_candidates: this.identifyAutomationOpportunities(), performance_optimizations: this.recommendPerformanceImprovements(), cost_optimization_opportunities: this.identifyCostSavings() } }; } predictOptimalAutomation(developerContext) { const prediction = this.mlEngine.predict({ context: developerContext, historical_patterns: this.history, current_project_state: developerContext.project_analysis, developer_preferences: developerContext.preferences }); return { recommended_automations: prediction.top_recommendations, confidence_scores: prediction.confidence_levels, expected_time_savings: prediction.time_savings_estimate, implementation_complexity: prediction.complexity_assessment, risk_assessment: prediction.risk_analysis }; } optimizeAutomationWorkflows() { const optimizations = { command_sequence_optimization: this.optimizeCommandSequences(), parallel_execution_opportunities: this.identifyParallelizationOpportunities(), resource_usage_optimization: this.optimizeResourceUsage(), caching_strategy_improvements: this.improveCachingStrategies(), error_handling_enhancements: this.enhanceErrorHandling() }; return this.implementOptimizations(optimizations); } }