MCP Console Automation Server

/** * Advanced Workflow Examples and Real-World Use Cases * Demonstrates complex automation scenarios using the enhanced MCP */ import { WorkflowEngine } from '../src/core/WorkflowEngine.js'; import { DataPipelineManager } from '../src/core/DataPipelineManager.js'; import { TriggerManager } from '../src/core/TriggerManager.js'; import { WorkflowTemplateLibrary } from '../src/templates/WorkflowTemplates.js'; import { ConsoleManager } from '../src/core/ConsoleManager.js'; import { WorkflowDefinition } from '../src/types/workflow.js'; /** * Example 1: Automated Deployment Pipeline with Rollback * Complete CI/CD workflow with automated testing, deployment, and rollback capabilities */ export async function createDeploymentPipeline(workflowEngine: WorkflowEngine): Promise<string> { const workflowDefinition: WorkflowDefinition = { id: 'production-deployment-pipeline', name: 'Production Deployment Pipeline', description: 'Automated deployment with testing, approval gates, and rollback capabilities', version: '2.0.0', metadata: { category: 'deployment', environment: ['staging', 'production'], requiredPermissions: ['git.read', 'docker.build', 'k8s.deploy', 'monitoring.read'], estimatedDuration: 900000, // 15 minutes resourceRequirements: { cpu: '4 cores', memory: '8GB', disk: '50GB', network: true, services: ['docker', 'kubectl', 'helm'] }, dependencies: ['git-repo', 'docker-registry', 'kubernetes-cluster', 'monitoring-system'], outputs: [ { name: 'deployment_status', type: 'string', description: 'Final deployment status', required: true }, { name: 'service_urls', type: 'array', description: 'Deployed service endpoints', required: true }, { name: 'rollback_info', type: 'object', description: 'Rollback information if needed', required: false } ] }, triggers: [ { id: 'git-release-tag', type: 'webhook', name: 'Git Release Tag Trigger', enabled: true, config: { webhook: { path: '/webhook/release', method: 'POST', authentication: { type: 'bearer', config: { token: '${GIT_WEBHOOK_TOKEN}' } }, validation: [ { type: 'required', value: 'ref_type', message: 'Ref type required' }, { type: 'pattern', value: 'tag', message: 'Only tag events allowed' } ] } }, conditions: [ { field: 'ref', operator: 'matches', value: '^v\\d+\\.\\d+\\.\\d+$', type: 'body' } ] } ], variables: [ { name: 'repository_url', type: 'string', required: true, description: 'Git repository URL' }, { name: 'release_tag', type: 'string', required: true, description: 'Release tag to deploy' }, { name: 'target_environment', type: 'string', defaultValue: 'production', required: false, description: 'Deployment environment' }, { name: 'docker_registry', type: 'string', required: true, description: 'Docker registry URL' }, { name: 'kubernetes_namespace', type: 'string', defaultValue: 'default', required: false, description: 'K8s namespace' }, { name: 'health_check_timeout', type: 'number', defaultValue: 300000, required: false, description: 'Health check timeout (ms)' }, { name: 'rollback_on_failure', type: 'boolean', defaultValue: true, required: false, description: 'Auto-rollback on deployment failure' } ], tasks: [ { id: 'pre-deployment-checks', name: 'Pre-Deployment Checks', type: 'parallel_group', description: 'Run parallel pre-deployment validations', dependsOn: [], executionMode: 'parallel', parallel: { maxConcurrency: 3, failFast: true, collectResults: true, aggregationStrategy: 'merge' }, input: { variables: { checks: [ { name: 'git-connectivity', command: 'git ls-remote {{repository_url}} {{release_tag}}', expected_pattern: '{{release_tag}}' }, { name: 'docker-registry-access', command: 'docker login {{docker_registry}}', expected_pattern: 'Login Succeeded' }, { name: 'kubernetes-cluster-access', command: 'kubectl cluster-info', expected_pattern: 'is running' } ] } }, metadata: { estimatedDuration: 60000, criticality: 'critical', category: 'validation', tags: ['pre-check', 'validation'] } }, { id: 'checkout-and-build', name: 'Checkout Code and Build', type: 'command', description: 'Clone repository and build application', dependsOn: ['pre-deployment-checks'], executionMode: 'sequential', timeout: 600000, retryPolicy: { maxAttempts: 2, backoff: 'exponential', initialDelay: 30000, maxDelay: 120000, multiplier: 2, conditions: [ { errorType: 'NetworkError' }, { exitCode: 128 } // Git error ] }, input: { command: 'bash', args: ['-c', ` set -e echo "Cloning repository..." git clone --depth 1 --branch {{release_tag}} {{repository_url}} ./workspace cd ./workspace echo "Installing dependencies..." npm ci --production=false echo "Running tests..." npm run test:ci echo "Building application..." npm run build echo "Building Docker image..." docker build -t {{docker_registry}}/{{app_name}}:{{release_tag}} . docker push {{docker_registry}}/{{app_name}}:{{release_tag}} `] }, output: { variables: { 'image_tag': '{{docker_registry}}/{{app_name}}:{{release_tag}}', 'build_timestamp': '${Date.now()}' } }, onFailure: [ { type: 'send_notification', config: { message: 'Build failed for release {{release_tag}}', severity: 'error', channels: ['slack', 'email'] } } ], metadata: { estimatedDuration: 480000, criticality: 'critical', category: 'build', tags: ['git', 'build', 'docker', 'test'] } }, { id: 'security-scanning', name: 'Security Vulnerability Scan', type: 'api_call', description: 'Scan container image for security vulnerabilities', dependsOn: ['checkout-and-build'], executionMode: 'sequential', timeout: 300000, input: { url: '{{security_scanner_api}}/scan', method: 'POST', headers: { 'Authorization': 'Bearer {{security_scanner_token}}', 'Content-Type': 'application/json' }, body: { image: '{{image_tag}}', severity_threshold: 'HIGH', fail_on_critical: true } }, condition: { type: 'variable', variables: ['enable_security_scanning'], operator: 'eq', value: true }, onFailure: [ { type: 'set_variable', config: { name: 'security_issues_found', value: true } }, { type: 'trigger_workflow', config: { workflowId: 'security-review-process' } } ], metadata: { estimatedDuration: 180000, criticality: 'high', category: 'security', tags: ['security', 'scanning', 'compliance'] } }, { id: 'deployment-approval', name: 'Production Deployment Approval', type: 'condition', description: 'Wait for deployment approval from release manager', dependsOn: ['security-scanning'], executionMode: 'sequential', approval: { configId: 'production-deployment-approval', context: { release_tag: '{{release_tag}}', image_tag: '{{image_tag}}', security_scan_passed: '!{{security_issues_found}}', estimated_downtime: '2 minutes' }, skipConditions: [ { type: 'variable', variables: ['target_environment'], operator: 'ne', value: 'production' } ] }, input: {}, metadata: { estimatedDuration: 0, // Depends on approver criticality: 'high', category: 'approval', tags: ['approval', 'governance'] } }, { id: 'backup-current-deployment', name: 'Backup Current Deployment', type: 'command', description: 'Create backup of current deployment for rollback', dependsOn: ['deployment-approval'], executionMode: 'sequential', timeout: 120000, input: { command: 'bash', args: ['-c', ` set -e echo "Backing up current deployment..." kubectl get deployment {{app_name}} -n {{kubernetes_namespace}} -o yaml > /tmp/{{app_name}}-backup-$(date +%s).yaml echo "Getting current image tag..." CURRENT_IMAGE=$(kubectl get deployment {{app_name}} -n {{kubernetes_namespace}} -o jsonpath='{.spec.template.spec.containers[0].image}') echo "current_image_backup=$CURRENT_IMAGE" >> $GITHUB_OUTPUT `] }, output: { variables: { 'rollback_image': 'env.current_image_backup', 'backup_file': '/tmp/{{app_name}}-backup-{{build_timestamp}}.yaml' } }, metadata: { estimatedDuration: 30000, criticality: 'high', category: 'backup', tags: ['backup', 'rollback', 'kubernetes'] } }, { id: 'deploy-to-kubernetes', name: 'Deploy to Kubernetes', type: 'command', description: 'Deploy new version to Kubernetes cluster', dependsOn: ['backup-current-deployment'], executionMode: 'sequential', timeout: 300000, rollbackStrategy: { type: 'custom', steps: [ { action: 'custom', config: { command: 'kubectl set image deployment/{{app_name}} {{app_name}}={{rollback_image}} -n {{kubernetes_namespace}}' } } ], timeout: 120000 }, input: { command: 'bash', args: ['-c', ` set -e echo "Deploying to Kubernetes..." # Update deployment with new image kubectl set image deployment/{{app_name}} {{app_name}}={{image_tag}} -n {{kubernetes_namespace}} # Wait for rollout to complete kubectl rollout status deployment/{{app_name}} -n {{kubernetes_namespace}} --timeout={{health_check_timeout}}ms echo "Deployment completed successfully" `] }, onFailure: [ { type: 'trigger_workflow', config: { workflowId: 'deployment-rollback', inputs: { app_name: '{{app_name}}', namespace: '{{kubernetes_namespace}}', rollback_image: '{{rollback_image}}' } } } ], metadata: { estimatedDuration: 240000, criticality: 'critical', category: 'deployment', tags: ['kubernetes', 'deployment', 'rollout'] } }, { id: 'health-checks', name: 'Post-Deployment Health Checks', type: 'parallel_group', description: 'Verify deployment health across multiple dimensions', dependsOn: ['deploy-to-kubernetes'], executionMode: 'parallel', timeout: 300000, parallel: { maxConcurrency: 5, failFast: false, collectResults: true, aggregationStrategy: 'merge' }, loop: { type: 'while', condition: { type: 'expression', expression: 'attempts < 10 && !allHealthy' }, maxIterations: 10, breakCondition: { type: 'variable', variables: ['all_health_checks_passed'], operator: 'eq', value: true } }, input: { variables: { health_checks: [ { name: 'pod-readiness', command: 'kubectl get pods -l app={{app_name}} -n {{kubernetes_namespace}} --field-selector=status.phase=Running', expected_count: 3 }, { name: 'http-endpoint', command: 'curl -f http://{{service_url}}/health', expected_pattern: '"status":"healthy"' }, { name: 'database-connectivity', command: 'kubectl exec deployment/{{app_name}} -n {{kubernetes_namespace}} -- npm run db:health-check', expected_pattern: 'Connection successful' }, { name: 'external-api-connectivity', command: 'kubectl exec deployment/{{app_name}} -n {{kubernetes_namespace}} -- npm run external-api:health-check', expected_pattern: 'All external APIs accessible' }, { name: 'performance-baseline', api_call: { url: '{{load_test_service}}/quick-test', method: 'POST', body: { target: '{{service_url}}', duration: 60 } }, expected_metric: 'response_time_p95 < 500' } ] } }, onFailure: [ { type: 'call_webhook', config: { url: '{{monitoring_webhook}}', method: 'POST', body: { alert: 'deployment-health-check-failed', deployment: '{{release_tag}}', environment: '{{target_environment}}' } } } ], metadata: { estimatedDuration: 180000, criticality: 'critical', category: 'validation', tags: ['health-check', 'monitoring', 'validation'] } }, { id: 'update-monitoring', name: 'Update Monitoring and Alerting', type: 'api_call', description: 'Update monitoring dashboards and alerts for new version', dependsOn: ['health-checks'], executionMode: 'sequential', timeout: 60000, input: { url: '{{monitoring_api}}/deployments', method: 'POST', headers: { 'Authorization': 'Bearer {{monitoring_token}}', 'Content-Type': 'application/json' }, body: { application: '{{app_name}}', version: '{{release_tag}}', environment: '{{target_environment}}', deployment_time: '{{build_timestamp}}', health_endpoints: ['{{service_url}}/health', '{{service_url}}/metrics'], alert_rules: [ { name: 'high-error-rate', expression: 'rate(http_requests_total{status=~"5.."}[5m]) > 0.05', severity: 'critical' }, { name: 'high-response-time', expression: 'histogram_quantile(0.95, http_request_duration_seconds_bucket) > 1.0', severity: 'warning' } ] } }, metadata: { estimatedDuration: 30000, criticality: 'medium', category: 'monitoring', tags: ['monitoring', 'alerting', 'observability'] } }, { id: 'deployment-notification', name: 'Send Deployment Notifications', type: 'notification', description: 'Notify stakeholders of successful deployment', dependsOn: ['update-monitoring'], executionMode: 'sequential', input: { variables: { message: `🚀 Successfully deployed {{app_name}} version {{release_tag}} to {{target_environment}} 📊 Deployment Stats: • Build Time: {{build_duration}}ms • Deployment Time: {{deployment_duration}}ms • Health Checks: ✅ All Passed • Service URL: {{service_url}} • Rollback Image: {{rollback_image}} 🔗 Links: • Monitoring Dashboard: {{monitoring_dashboard_url}} • Logs: {{logs_url}} • Release Notes: {{release_notes_url}}`, channels: ['slack', 'email'], severity: 'info' } }, metadata: { estimatedDuration: 5000, criticality: 'low', category: 'notification', tags: ['notification', 'communication'] } } ], dataFlow: { inputs: [ { name: 'webhook_data', type: 'object', source: { type: 'variable', config: { name: 'trigger_data' } }, required: true } ], outputs: [ { name: 'deployment_summary', type: 'object', destination: { type: 'api', config: { url: '{{deployment_tracking_api}}/record' } }, format: 'json' } ], transformations: [ { id: 'extract-release-info', type: 'map', input: ['webhook_data'], output: 'release_info', config: { expression: `{ release_tag: item.ref.replace('refs/tags/', ''), repository: item.repository.full_name, pusher: item.pusher.name, timestamp: item.head_commit.timestamp }` } } ], validations: [ { field: 'release_tag', rules: [ { type: 'required', message: 'Release tag is required' }, { type: 'pattern', value: '^v\\d+\\.\\d+\\.\\d+$', message: 'Invalid semantic version format' } ] } ] }, errorHandling: { global: { onError: 'rollback', retryPolicy: { maxAttempts: 1, // No global retries for deployments backoff: 'fixed', initialDelay: 0, conditions: [] }, notifications: [ { id: 'deployment-failure-alert', name: 'Deployment Failure Alert', channels: [ { type: 'slack', config: { channel: '#deployments-critical' }, enabled: true }, { type: 'email', config: { recipients: ['devops@company.com', 'oncall@company.com'] }, enabled: true } ], conditions: [ { event: 'workflow_fail', severity: 'error' } ], template: { subject: '🚨 CRITICAL: Production Deployment Failed', body: `Production deployment of {{app_name}} version {{release_tag}} has failed. ⚠️ Failure Details: • Environment: {{target_environment}} • Failed Task: {{failed_task_name}} • Error: {{error_message}} • Timestamp: {{failure_timestamp}} 🔧 Actions Taken: • {{#if rollback_on_failure}}Automatic rollback initiated{{else}}Manual intervention required{{/if}} • Monitoring alerts activated • Incident response team notified 📋 Next Steps: 1. Check deployment logs: {{logs_url}} 2. Verify rollback status: kubectl get pods -n {{kubernetes_namespace}} 3. Join incident response channel: #incident-{{incident_id}} 🔗 Resources: • Runbook: {{runbook_url}} • Dashboard: {{monitoring_dashboard_url}} • Escalation: {{oncall_contact}}`, format: 'markdown' }, throttling: { maxNotifications: 3, timeWindow: 3600000, // 1 hour groupBy: ['app_name', 'environment'] } } ], rollback: { type: 'custom', steps: [ { action: 'custom', config: { workflowId: 'emergency-rollback-procedure', inputs: { app_name: '{{app_name}}', target_environment: '{{target_environment}}', rollback_image: '{{rollback_image}}', incident_severity: 'high' } } } ], timeout: 300000 } }, taskSpecific: { 'deploy-to-kubernetes': { onError: 'rollback', retryPolicy: { maxAttempts: 2, backoff: 'fixed', initialDelay: 60000, conditions: [ { errorType: 'TimeoutError' }, { errorMessage: 'connection refused' } ] }, rollback: { type: 'task_based', steps: [ { taskId: 'backup-current-deployment', action: 'restore', config: { command: 'kubectl apply -f {{backup_file}}' } } ], timeout: 120000 } } } }, notifications: [ { id: 'deployment-started', name: 'Deployment Started', channels: [ { type: 'slack', config: { channel: '#deployments' }, enabled: true } ], conditions: [ { event: 'workflow_start' } ], template: { body: '🚀 Starting deployment of {{app_name}} version {{release_tag}} to {{target_environment}}', format: 'text' } } ], approvals: [ { id: 'production-deployment-approval', name: 'Production Deployment Approval', type: 'manual', required: true, approvers: [ { type: 'role', identifier: 'release-manager', weight: 1 }, { type: 'role', identifier: 'tech-lead', weight: 1 } ], timeout: 7200000, // 2 hours escalation: { levels: [ { delay: 3600000, // 1 hour approvers: [ { type: 'role', identifier: 'engineering-director' } ], actions: [ { type: 'send_notification', config: { message: 'Deployment approval escalated to Engineering Director', channels: ['email'] } } ] } ] }, conditions: [ { field: 'target_environment', operator: 'eq', value: 'production' } ] } ], timeouts: { workflow: 3600000, // 1 hour total task: 600000, // 10 minutes per task approval: 7200000, // 2 hours for approvals notification: 30000, // 30 seconds for notifications global: 3600000 // 1 hour global timeout }, retryPolicy: { maxAttempts: 1, // Deployments should not be retried globally backoff: 'fixed', initialDelay: 0, conditions: [] }, tags: ['deployment', 'production', 'kubernetes', 'cicd', 'critical'], created: new Date(), updated: new Date(), author: 'DevOps Team' }; workflowEngine.registerWorkflow(workflowDefinition); return workflowDefinition.id; } /** * Example 2: Data Processing Pipeline with Quality Gates * Complex ETL workflow with data validation, transformation, and quality checks */ export async function createDataProcessingPipeline( dataManager: DataPipelineManager, workflowEngine: WorkflowEngine ): Promise<string> { // Register data pipeline const pipelineDefinition = { inputs: [ { name: 'source_data', type: 'file', source: { type: 'file', config: { path: '{{input_file_path}}', format: 'csv', options: { hasHeader: true, delimiter: ',' } } }, required: true, schema: { type: 'object', properties: { customer_id: { type: 'string' }, transaction_date: { type: 'string', format: 'date' }, amount: { type: 'number', minimum: 0 }, category: { type: 'string' } }, required: ['customer_id', 'transaction_date', 'amount'] } }, { name: 'reference_data', type: 'database', source: { type: 'database', config: { connector: 'postgresql', query: 'SELECT customer_id, customer_tier, created_date FROM customers WHERE active = true' } }, required: true } ], outputs: [ { name: 'processed_data', type: 'object', destination: { type: 'database', config: { connector: 'postgresql', table: 'processed_transactions' } }, format: 'json' }, { name: 'quality_report', type: 'object', destination: { type: 'file', config: { path: '/reports/quality-{{timestamp}}.json', format: 'json' } } } ], transformations: [ { id: 'data-cleaning', type: 'map', input: ['source_data'], output: 'cleaned_data', config: { function: ` // Clean and normalize data item.customer_id = item.customer_id.trim().toUpperCase(); item.transaction_date = new Date(item.transaction_date).toISOString(); item.amount = parseFloat(item.amount); item.category = item.category ? item.category.toLowerCase() : 'uncategorized'; return item; ` } }, { id: 'enrich-with-reference', type: 'merge', input: ['cleaned_data', 'reference_data'], output: 'enriched_data', config: { strategy: 'left_join', key: 'customer_id' } }, { id: 'calculate-metrics', type: 'map', input: ['enriched_data'], output: 'final_data', config: { function: ` // Calculate derived metrics const daysSinceCustomerCreated = (new Date(item.transaction_date) - new Date(item.created_date)) / (1000 * 60 * 60 * 24); return { ...item, days_since_customer_created: Math.floor(daysSinceCustomerCreated), amount_category: item.amount > 1000 ? 'high' : item.amount > 100 ? 'medium' : 'low', processed_timestamp: new Date().toISOString() }; ` } } ], validations: [ { field: 'amount', rules: [ { type: 'required', message: 'Amount is required' }, { type: 'range', value: [0, 1000000], message: 'Amount must be between 0 and 1,000,000' } ] }, { field: 'customer_id', rules: [ { type: 'required', message: 'Customer ID is required' }, { type: 'pattern', value: '^[A-Z0-9]{8}$', message: 'Customer ID must be 8 alphanumeric characters' } ] } ] }; dataManager.registerPipeline('transaction-processing', pipelineDefinition); // Create workflow that uses the data pipeline const workflowDefinition: WorkflowDefinition = { id: 'data-processing-workflow', name: 'Transaction Data Processing Workflow', description: 'Process transaction data with quality gates and alerting', version: '1.0.0', metadata: { category: 'data', environment: ['production'], requiredPermissions: ['database.read', 'database.write', 'file.read', 'file.write'], estimatedDuration: 1800000, // 30 minutes resourceRequirements: { cpu: '2 cores', memory: '4GB', disk: '20GB' }, dependencies: ['postgresql', 'file-storage'], outputs: [ { name: 'processing_summary', type: 'object', description: 'Processing statistics', required: true } ] }, triggers: [ { id: 'file-arrival', type: 'file_watch', name: 'New Data File Trigger', enabled: true, config: { fileWatch: { paths: ['/data/inbox'], patterns: ['transactions-*.csv'], events: ['create'], recursive: false, debounce: 30000 // Wait 30 seconds after file creation } } }, { id: 'scheduled-processing', type: 'schedule', name: 'Daily Processing', enabled: true, config: { schedule: { cron: '0 6 * * *', // Daily at 6 AM timezone: 'UTC' } } } ], variables: [ { name: 'input_file_path', type: 'string', required: true, description: 'Path to input CSV file' }, { name: 'quality_threshold', type: 'number', defaultValue: 0.95, required: false, description: 'Data quality threshold' }, { name: 'notify_on_completion', type: 'boolean', defaultValue: true, required: false, description: 'Send completion notifications' } ], tasks: [ { id: 'validate-input-file', name: 'Validate Input File', type: 'command', description: 'Check if input file exists and is readable', dependsOn: [], executionMode: 'sequential', input: { command: 'bash', args: ['-c', ` if [[ ! -f "{{input_file_path}}" ]]; then echo "Error: Input file not found: {{input_file_path}}" exit 1 fi if [[ ! -r "{{input_file_path}}" ]]; then echo "Error: Cannot read input file: {{input_file_path}}" exit 1 fi FILE_SIZE=$(stat -f%z "{{input_file_path}}" 2>/dev/null || stat -c%s "{{input_file_path}}") if [[ $FILE_SIZE -eq 0 ]]; then echo "Error: Input file is empty" exit 1 fi LINE_COUNT=$(wc -l < "{{input_file_path}}") echo "File validation passed. Size: $FILE_SIZE bytes, Lines: $LINE_COUNT" `] }, output: { variables: { 'file_size': 'parseFileSize(output)', 'record_count': 'parseLineCount(output)' } }, metadata: { estimatedDuration: 10000, criticality: 'high', category: 'validation', tags: ['file', 'validation'] } }, { id: 'execute-data-pipeline', name: 'Execute Data Processing Pipeline', type: 'subworkflow', description: 'Run the data processing pipeline', dependsOn: ['validate-input-file'], executionMode: 'sequential', timeout: 1200000, // 20 minutes input: { variables: { workflowId: 'data-pipeline-execution', pipelineId: 'transaction-processing', input_file_path: '{{input_file_path}}' } }, output: { variables: { 'processing_stats': 'data.processingStats', 'quality_score': 'data.qualityScore', 'error_count': 'data.errorCount' } }, metadata: { estimatedDuration: 900000, criticality: 'critical', category: 'processing', tags: ['etl', 'data-pipeline'] } }, { id: 'quality-gate-check', name: 'Data Quality Gate', type: 'condition', description: 'Verify data quality meets threshold', dependsOn: ['execute-data-pipeline'], executionMode: 'sequential', condition: { type: 'expression', expression: 'quality_score >= quality_threshold' }, onFailure: [ { type: 'trigger_workflow', config: { workflowId: 'data-quality-investigation', inputs: { quality_score: '{{quality_score}}', threshold: '{{quality_threshold}}', file_path: '{{input_file_path}}' } } }, { type: 'send_notification', config: { message: 'Data quality gate failed. Score: {{quality_score}}, Threshold: {{quality_threshold}}', severity: 'warning', channels: ['slack', 'email'] } } ], input: {}, metadata: { estimatedDuration: 5000, criticality: 'high', category: 'quality', tags: ['quality-gate', 'validation'] } }, { id: 'generate-summary-report', name: 'Generate Processing Summary', type: 'data_transform', description: 'Create summary report of processing results', dependsOn: ['quality-gate-check'], executionMode: 'sequential', input: { variables: { template: ` # Data Processing Summary Report ## File Information - **File Path:** {{input_file_path}} - **File Size:** {{file_size}} bytes - **Records Processed:** {{record_count}} - **Processing Date:** {{processing_date}} ## Processing Statistics - **Successful Records:** {{processing_stats.successful}} - **Failed Records:** {{processing_stats.failed}} - **Quality Score:** {{quality_score}} ({{quality_score >= quality_threshold ? 'PASS' : 'FAIL'}}) - **Error Count:** {{error_count}} ## Quality Metrics {{#each processing_stats.qualityMetrics}} - **{{@key}}:** {{this}} {{/each}} ## Recommendations {{#if quality_score < quality_threshold}} ⚠️ **Action Required:** Data quality below threshold. Please review error details and investigate data sources. {{else}} ✅ **Status:** Processing completed successfully. Data quality meets requirements. {{/if}} --- *Report generated on {{timestamp}}* `, output_format: 'markdown' } }, output: { variables: { 'summary_report': 'generated_report', 'report_path': '/reports/processing-summary-{{timestamp}}.md' } }, metadata: { estimatedDuration: 15000, criticality: 'medium', category: 'reporting', tags: ['report', 'summary'] } } ], dataFlow: { inputs: [], outputs: [], transformations: [], validations: [] }, errorHandling: { global: { onError: 'continue', notifications: [ { id: 'processing-error', name: 'Data Processing Error', channels: [ { type: 'email', config: { recipients: ['data-team@company.com'] }, enabled: true } ], conditions: [ { event: 'task_fail', severity: 'error' } ], template: { subject: 'Data Processing Error - {{input_file_path}}', body: 'Data processing failed for file {{input_file_path}}. Error: {{error_message}}', format: 'text' } } ] }, taskSpecific: {} }, notifications: [], approvals: [], timeouts: { workflow: 2400000, // 40 minutes task: 1200000 // 20 minutes }, retryPolicy: { maxAttempts: 2, backoff: 'exponential', initialDelay: 60000, maxDelay: 300000, multiplier: 2, conditions: [] }, tags: ['data', 'etl', 'quality', 'automation'], created: new Date(), updated: new Date(), author: 'Data Engineering Team' }; workflowEngine.registerWorkflow(workflowDefinition); return workflowDefinition.id; } /** * Example 3: Incident Response Automation * Automated incident detection, escalation, and response coordination */ export async function createIncidentResponseWorkflow( workflowEngine: WorkflowEngine, triggerManager: TriggerManager ): Promise<string> { const workflowDefinition: WorkflowDefinition = { id: 'incident-response-automation', name: 'Automated Incident Response', description: 'Detect, classify, and respond to production incidents automatically', version: '1.0.0', metadata: { category: 'incident-response', environment: ['production'], requiredPermissions: ['monitoring.read', 'notification.send', 'runbook.execute'], estimatedDuration: 300000, // 5 minutes initial response resourceRequirements: { network: true, services: ['monitoring', 'alerting', 'communication'] }, dependencies: ['monitoring-system', 'oncall-schedule', 'runbook-library'], outputs: [ { name: 'incident_id', type: 'string', description: 'Created incident identifier', required: true }, { name: 'response_actions', type: 'array', description: 'Actions taken', required: true } ] }, triggers: [ { id: 'alert-webhook', type: 'webhook', name: 'Monitoring Alert Webhook', enabled: true, config: { webhook: { path: '/webhook/alert', method: 'POST', authentication: { type: 'api_key', config: { header: 'X-Alert-Token', secret: '${ALERT_WEBHOOK_SECRET}' } } } }, conditions: [ { field: 'severity', operator: 'matches', value: '^(critical|high)$', type: 'body' }, { field: 'status', operator: 'eq', value: 'firing', type: 'body' } ] } ], variables: [ { name: 'alert_data', type: 'object', required: true, description: 'Alert payload from monitoring system' }, { name: 'severity', type: 'string', required: true, description: 'Alert severity level' }, { name: 'service_name', type: 'string', required: true, description: 'Affected service name' }, { name: 'auto_remediation_enabled', type: 'boolean', defaultValue: true, required: false, description: 'Enable automatic remediation' } ], tasks: [ { id: 'classify-incident', name: 'Classify Incident', type: 'api_call', description: 'Use ML model to classify incident type and severity', dependsOn: [], executionMode: 'sequential', timeout: 30000, input: { url: '{{incident_classifier_api}}/classify', method: 'POST', headers: { 'Authorization': 'Bearer {{classifier_token}}', 'Content-Type': 'application/json' }, body: { alert_name: '{{alert_data.alertname}}', labels: '{{alert_data.labels}}', annotations: '{{alert_data.annotations}}', metrics: '{{alert_data.metrics}}' } }, output: { variables: { 'incident_type': 'data.incident_type', 'confidence_score': 'data.confidence', 'recommended_runbook': 'data.runbook_id', 'escalation_level': 'data.escalation_level' } }, metadata: { estimatedDuration: 15000, criticality: 'high', category: 'classification', tags: ['ai', 'classification', 'incident'] } }, { id: 'create-incident-ticket', name: 'Create Incident Ticket', type: 'api_call', description: 'Create incident tracking ticket', dependsOn: ['classify-incident'], executionMode: 'sequential', timeout: 30000, input: { url: '{{ticketing_api}}/incidents', method: 'POST', headers: { 'Authorization': 'Bearer {{ticketing_token}}', 'Content-Type': 'application/json' }, body: { title: 'INCIDENT: {{alert_data.alertname}} - {{service_name}}', description: ` Automated incident created from monitoring alert. ## Alert Details - **Service:** {{service_name}} - **Severity:** {{severity}} - **Alert:** {{alert_data.alertname}} - **Incident Type:** {{incident_type}} (confidence: {{confidence_score}}) ## Timeline - **Detected:** {{alert_data.startsAt}} - **Created:** {{timestamp}} ## Metrics {{#each alert_data.metrics}} - **{{@key}}:** {{this}} {{/each}} ## Recommended Actions - Follow runbook: {{recommended_runbook}} - Escalation Level: {{escalation_level}} `, severity: '{{severity}}', service: '{{service_name}}', labels: ['automated', 'monitoring', '{{incident_type}}'], assignee: null, // Will be assigned by escalation priority: '{{escalation_level}}' } }, output: { variables: { 'incident_id': 'data.id', 'incident_url': 'data.url' } }, metadata: { estimatedDuration: 10000, criticality: 'high', category: 'ticketing', tags: ['incident', 'tracking'] } }, { id: 'initial-notification', name: 'Send Initial Notifications', type: 'parallel_group', description: 'Notify relevant teams and stakeholders', dependsOn: ['create-incident-ticket'], executionMode: 'parallel', parallel: { maxConcurrency: 5, failFast: false, collectResults: false, aggregationStrategy: 'array' }, input: { variables: { notifications: [ { channel: 'slack', target: '#incidents-{{severity}}', message: `🚨 **{{severity.toUpperCase()}} INCIDENT DETECTED** **Service:** {{service_name}} **Alert:** {{alert_data.alertname}} **Incident ID:** {{incident_id}} **Classification:** {{incident_type}} ({{Math.round(confidence_score * 100)}}% confidence) **Quick Actions:** • [View Incident]({{incident_url}}) • [Service Dashboard]({{service_dashboard_url}}) • [Runbook]({{runbook_url}}) **Next Steps:** {{#if auto_remediation_enabled}} 🤖 Attempting automatic remediation... {{else}} 👤 Manual intervention required {{/if}}` }, { channel: 'email', target: '{{oncall_email}}', subject: '[{{severity.toUpperCase()}}] {{service_name}} - {{alert_data.alertname}}', message: 'Incident {{incident_id}} requires attention. Details: {{incident_url}}' }, { channel: 'sms', target: '{{oncall_phone}}', message: '[{{severity.toUpperCase()}}] {{service_name}} incident {{incident_id}}. Check Slack for details.', condition: 'severity === "critical"' }, { channel: 'pagerduty', target: '{{pagerduty_service_key}}', incident_key: '{{incident_id}}', description: '{{alert_data.alertname}} on {{service_name}}' } ] } }, metadata: { estimatedDuration: 20000, criticality: 'high', category: 'notification', tags: ['alert', 'communication'] } }, { id: 'execute-runbook', name: 'Execute Automated Runbook', type: 'subworkflow', description: 'Run automated remediation steps from runbook', dependsOn: ['initial-notification'], executionMode: 'sequential', timeout: 600000, // 10 minutes condition: { type: 'variable', variables: ['auto_remediation_enabled'], operator: 'eq', value: true }, input: { variables: { workflowId: '{{recommended_runbook}}', incident_id: '{{incident_id}}', service_name: '{{service_name}}', alert_data: '{{alert_data}}', severity: '{{severity}}' } }, output: { variables: { 'remediation_status': 'data.status', 'actions_taken': 'data.actions', 'resolution_time': 'data.duration' } }, onFailure: [ { type: 'send_notification', config: { message: 'Automated remediation failed for incident {{incident_id}}. Manual intervention required.', channels: ['slack'], severity: 'error' } }, { type: 'call_webhook', config: { url: '{{escalation_webhook}}', method: 'POST', body: { incident_id: '{{incident_id}}', action: 'escalate', reason: 'automated_remediation_failed' } } } ], metadata: { estimatedDuration: 300000, criticality: 'critical', category: 'remediation', tags: ['runbook', 'automation', 'remediation'] } }, { id: 'monitor-resolution', name: 'Monitor for Resolution', type: 'condition', description: 'Wait for alert to clear or timeout', dependsOn: ['execute-runbook'], executionMode: 'sequential', timeout: 1800000, // 30 minutes loop: { type: 'while', condition: { type: 'external', expression: 'checkAlertStatus(alert_data.alertname) === "firing"' }, maxIterations: 180, // Check every 10 seconds for 30 minutes breakCondition: { type: 'external', expression: 'checkAlertStatus(alert_data.alertname) === "resolved"' } }, input: { variables: { check_interval: 10000, // 10 seconds alert_name: '{{alert_data.alertname}}' } }, output: { variables: { 'final_status': 'alert_resolved ? "resolved" : "timeout"', 'resolution_duration': 'Date.now() - start_time' } }, metadata: { estimatedDuration: 600000, // Average 10 minutes criticality: 'medium', category: 'monitoring', tags: ['resolution', 'monitoring'] } }, { id: 'update-incident-status', name: 'Update Incident Status', type: 'api_call', description: 'Update incident ticket with final status', dependsOn: ['monitor-resolution'], executionMode: 'sequential', timeout: 30000, input: { url: '{{ticketing_api}}/incidents/{{incident_id}}', method: 'PATCH', headers: { 'Authorization': 'Bearer {{ticketing_token}}', 'Content-Type': 'application/json' }, body: { status: '{{final_status}}', resolution_time: '{{resolution_duration}}', automated_actions: '{{actions_taken}}', notes: ` ## Incident Resolution Summary **Final Status:** {{final_status}} **Total Duration:** {{Math.round(resolution_duration / 60000)}} minutes **Automated Actions:** {{actions_taken.length}} steps executed ### Timeline - **Detected:** {{alert_data.startsAt}} - **Ticket Created:** {{incident_creation_time}} - **Remediation Started:** {{remediation_start_time}} - **{{final_status === 'resolved' ? 'Resolved' : 'Timeout'}}:** {{timestamp}} ### Actions Taken {{#each actions_taken}} - {{this.timestamp}}: {{this.action}} - {{this.status}} {{/each}} {{#if final_status === 'resolved'}} ✅ **Incident automatically resolved** {{else}} ⚠️ **Manual intervention required** - Incident timeout reached {{/if}} ` } }, metadata: { estimatedDuration: 10000, criticality: 'medium', category: 'ticketing', tags: ['incident', 'resolution'] } }, { id: 'post-incident-actions', name: 'Execute Post-Incident Actions', type: 'parallel_group', description: 'Cleanup and post-incident procedures', dependsOn: ['update-incident-status'], executionMode: 'parallel', parallel: { maxConcurrency: 3, failFast: false, collectResults: false, aggregationStrategy: 'array' }, input: { variables: { actions: [ { type: 'notification', config: { channel: 'slack', target: '#incidents-{{severity}}', message: `{{final_status === 'resolved' ? '✅' : '⚠️'}} **Incident {{incident_id}} {{final_status.toUpperCase()}}** **Service:** {{service_name}} **Duration:** {{Math.round(resolution_duration / 60000)}} minutes **Actions:** {{actions_taken.length}} automated steps {{#if final_status === 'resolved'}} Incident was automatically resolved. No further action needed. {{else}} ⚠️ **Requires manual attention** - Please check [incident details]({{incident_url}}) {{/if}}` } }, { type: 'api_call', config: { url: '{{metrics_api}}/incidents/record', method: 'POST', body: { incident_id: '{{incident_id}}', service: '{{service_name}}', severity: '{{severity}}', incident_type: '{{incident_type}}', duration: '{{resolution_duration}}', automated_resolution: '{{final_status === "resolved"}}', actions_count: '{{actions_taken.length}}' } } }, { type: 'conditional', condition: 'final_status === "timeout"', config: { type: 'trigger_workflow', workflowId: 'incident-escalation', inputs: { incident_id: '{{incident_id}}', escalation_reason: 'automated_timeout', current_severity: '{{severity}}' } } } ] } }, metadata: { estimatedDuration: 30000, criticality: 'low', category: 'cleanup', tags: ['post-incident', 'metrics'] } } ], dataFlow: { inputs: [ { name: 'alert_payload', type: 'object', source: { type: 'variable', config: { name: 'alert_data' } }, required: true } ], outputs: [ { name: 'incident_metrics', type: 'object', destination: { type: 'api', config: { url: '{{metrics_collector}}/incident-response' } } } ], transformations: [ { id: 'extract-alert-info', type: 'map', input: ['alert_payload'], output: 'processed_alert', config: { expression: `{ severity: item.labels.severity || 'unknown', service_name: item.labels.service || item.labels.job || 'unknown', alert_name: item.alertname, start_time: new Date(item.startsAt), labels: item.labels, annotations: item.annotations }` } } ], validations: [ { field: 'severity', rules: [ { type: 'required', message: 'Alert severity is required' }, { type: 'pattern', value: '^(critical|high|medium|low|info)$', message: 'Invalid severity level' } ] } ] }, errorHandling: { global: { onError: 'continue', retryPolicy: { maxAttempts: 2, backoff: 'fixed', initialDelay: 30000, conditions: [ { errorType: 'NetworkError' }, { errorType: 'TimeoutError' } ] }, notifications: [ { id: 'incident-response-failure', name: 'Incident Response System Failure', channels: [ { type: 'email', config: { recipients: ['sre@company.com'] }, enabled: true }, { type: 'sms', config: { numbers: ['{{emergency_phone}}'] }, enabled: true } ], conditions: [ { event: 'workflow_fail', severity: 'critical' } ], template: { subject: '🚨 CRITICAL: Incident Response System Failure', body: 'Automated incident response failed. Manual intervention required immediately. Incident: {{incident_id}}', format: 'text' } } ] }, taskSpecific: { 'execute-runbook': { onError: 'continue', // Continue with escalation even if runbook fails fallbackTask: 'escalate-to-human' } } }, notifications: [], approvals: [], timeouts: { workflow: 3600000, // 1 hour total task: 600000, // 10 minutes per task global: 3600000 }, retryPolicy: { maxAttempts: 1, // Incident response should not be retried backoff: 'fixed', initialDelay: 0, conditions: [] }, tags: ['incident-response', 'automation', 'monitoring', 'critical'], created: new Date(), updated: new Date(), author: 'SRE Team' }; workflowEngine.registerWorkflow(workflowDefinition); // Register the trigger for this workflow triggerManager.registerTrigger(workflowDefinition.id, workflowDefinition.triggers[0]); return workflowDefinition.id; } /** * Example usage and demonstration */ export async function demonstrateAdvancedWorkflows(): Promise<void> { const consoleManager = new ConsoleManager(); const workflowEngine = new WorkflowEngine(consoleManager); const dataManager = new DataPipelineManager(); const triggerManager = new TriggerManager(workflowEngine); const templateLibrary = new WorkflowTemplateLibrary(); console.log('🚀 Initializing Advanced Workflow Automation...'); try { // Create deployment pipeline const deploymentWorkflowId = await createDeploymentPipeline(workflowEngine); console.log(`✅ Deployment pipeline created: ${deploymentWorkflowId}`); // Create data processing pipeline const dataWorkflowId = await createDataProcessingPipeline(dataManager, workflowEngine); console.log(`✅ Data processing pipeline created: ${dataWorkflowId}`); // Create incident response workflow const incidentWorkflowId = await createIncidentResponseWorkflow(workflowEngine, triggerManager); console.log(`✅ Incident response workflow created: ${incidentWorkflowId}`); // Demonstrate template usage const template = templateLibrary.getTemplate('cicd-pipeline'); if (template) { const customWorkflow = templateLibrary.generateWorkflowFromTemplate( 'cicd-pipeline', { repository_url: 'https://github.com/company/sample-app.git', docker_registry: 'registry.company.com', deployment_environment: 'staging' } ); workflowEngine.registerWorkflow(customWorkflow); console.log(`✅ Workflow created from template: ${customWorkflow.id}`); } // Example: Execute a workflow manually const executionId = await workflowEngine.executeWorkflow( deploymentWorkflowId, { environment: 'staging', user: 'demo-user', inputs: { repository_url: 'https://github.com/company/demo-app.git', release_tag: 'v1.2.3', target_environment: 'staging' }, metadata: { source: 'manual-demo' } }, { docker_registry: 'registry.demo.com', kubernetes_namespace: 'staging' } ); console.log(`✅ Workflow execution started: ${executionId}`); console.log('📊 Monitor execution progress through the workflow engine...'); // Demonstrate trigger system console.log('🎯 Trigger system active and monitoring for events...'); console.log('📈 Data pipeline system ready for processing...'); console.log('🚨 Incident response system armed and ready...'); } catch (error: any) { console.error('❌ Error during workflow demonstration:', error.message); } } // Export for use in other examples export { demonstrateAdvancedWorkflows };