Claude MCP Server Ecosystem

import { EventEmitter } from 'events'; export interface DataPipelineDefinition { id: string; name: string; description: string; version: string; tags: string[]; owner: string; schedule?: PipelineSchedule; triggers: PipelineTrigger[]; stages: PipelineStage[]; dependencies: string[]; configuration: PipelineConfiguration; resources: ResourceRequirements; monitoring: MonitoringConfig; createdAt: Date; updatedAt: Date; status: 'draft' | 'active' | 'paused' | 'deprecated'; } export interface PipelineSchedule { type: 'cron' | 'interval' | 'event'; expression: string; timezone: string; enabled: boolean; startDate?: Date; endDate?: Date; } export interface PipelineTrigger { id: string; type: 'schedule' | 'file' | 'database' | 'api' | 'message_queue' | 'manual'; config: Record<string, any>; conditions?: TriggerCondition[]; } export interface TriggerCondition { field: string; operator: 'eq' | 'ne' | 'gt' | 'gte' | 'lt' | 'lte' | 'contains' | 'matches'; value: any; } export interface PipelineStage { id: string; name: string; type: 'extract' | 'transform' | 'load' | 'validate' | 'enrich' | 'analyze' | 'custom'; config: StageConfiguration; inputs: DataInput[]; outputs: DataOutput[]; dependencies: string[]; parallelism: number; retryPolicy: RetryPolicy; timeout: number; resources: StageResources; } export interface StageConfiguration { processor: string; parameters: Record<string, any>; environment: Record<string, string>; secrets: string[]; volumes?: VolumeMount[]; } export interface VolumeMount { name: string; mountPath: string; readOnly: boolean; } export interface DataInput { name: string; type: 'file' | 'database' | 'stream' | 'api' | 'memory'; source: DataSource; schema?: DataSchema; validation?: ValidationRule[]; } export interface DataOutput { name: string; type: 'file' | 'database' | 'stream' | 'api' | 'memory'; destination: DataDestination; schema?: DataSchema; partitioning?: PartitioningStrategy; } export interface DataSource { type: string; connection: string; path?: string; query?: string; parameters?: Record<string, any>; credentials?: string; } export interface DataDestination { type: string; connection: string; path?: string; table?: string; parameters?: Record<string, any>; credentials?: string; writeMode?: 'append' | 'overwrite' | 'merge' | 'update'; } export interface DataSchema { version: string; fields: SchemaField[]; metadata?: Record<string, any>; } export interface SchemaField { name: string; type: 'string' | 'integer' | 'float' | 'boolean' | 'date' | 'timestamp' | 'array' | 'object'; nullable: boolean; description?: string; constraints?: FieldConstraint[]; } export interface FieldConstraint { type: 'min' | 'max' | 'regex' | 'enum' | 'unique' | 'foreign_key'; value: any; } export interface ValidationRule { type: 'schema' | 'quality' | 'freshness' | 'completeness' | 'custom'; config: Record<string, any>; severity: 'error' | 'warning' | 'info'; } export interface PartitioningStrategy { type: 'hash' | 'range' | 'time' | 'custom'; columns: string[]; buckets?: number; expression?: string; } export interface RetryPolicy { maxAttempts: number; backoffStrategy: 'fixed' | 'exponential' | 'linear'; initialDelay: number; maxDelay: number; retryableErrors: string[]; } export interface StageResources { cpu: string; memory: string; storage?: string; gpu?: string; } export interface ResourceRequirements { compute: { cpu: number; memory: number; storage: number; }; network: { bandwidth: number; connections: number; }; database: { connections: number; storage: number; }; } export interface PipelineConfiguration { maxConcurrency: number; checkpointInterval: number; failureHandling: 'stop' | 'skip' | 'retry'; dataRetention: number; compression: boolean; encryption: boolean; lineage: boolean; } export interface MonitoringConfig { enabled: boolean; metrics: string[]; alerts: AlertRule[]; logging: LoggingConfig; profiling: boolean; } export interface AlertRule { name: string; metric: string; condition: string; threshold: number; severity: 'low' | 'medium' | 'high' | 'critical'; channels: string[]; } export interface LoggingConfig { level: 'debug' | 'info' | 'warn' | 'error'; structured: boolean; retention: number; destinations: string[]; } export interface PipelineExecution { id: string; pipelineId: string; version: string; status: 'pending' | 'running' | 'completed' | 'failed' | 'cancelled'; startTime: Date; endTime?: Date; duration?: number; triggeredBy: string; triggerType: string; stageExecutions: StageExecution[]; metrics: ExecutionMetrics; errors: ExecutionError[]; outputs: ExecutionOutput[]; checkpoints: Checkpoint[]; } export interface StageExecution { stageId: string; status: 'pending' | 'running' | 'completed' | 'failed' | 'skipped'; startTime?: Date; endTime?: Date; duration?: number; attempt: number; metrics: StageMetrics; logs: string[]; errors: string[]; } export interface ExecutionMetrics { recordsProcessed: number; bytesProcessed: number; recordsPerSecond: number; cpuUsage: number; memoryUsage: number; diskUsage: number; networkIO: number; customMetrics: Record<string, number>; } export interface StageMetrics { inputRecords: number; outputRecords: number; processedBytes: number; errorRecords: number; processingTime: number; resourceUsage: Record<string, number>; } export interface ExecutionError { stageId?: string; type: string; message: string; stackTrace?: string; timestamp: Date; context: Record<string, any>; } export interface ExecutionOutput { name: string; location: string; size: number; recordCount: number; schema: DataSchema; checksum: string; } export interface Checkpoint { id: string; stageId: string; state: Record<string, any>; timestamp: Date; size: number; } export interface DataLineage { pipelineId: string; executionId: string; timestamp: Date; inputs: LineageNode[]; outputs: LineageNode[]; transformations: LineageTransformation[]; } export interface LineageNode { id: string; type: 'dataset' | 'table' | 'file' | 'stream'; name: string; location: string; schema: DataSchema; metadata: Record<string, any>; } export interface LineageTransformation { id: string; type: string; description: string; parameters: Record<string, any>; inputColumns: string[]; outputColumns: string[]; } export class DataPipelineOrchestrator extends EventEmitter { private pipelines = new Map<string, DataPipelineDefinition>(); private executions = new Map<string, PipelineExecution>(); private activeExecutions = new Map<string, PipelineExecution>(); private scheduledJobs = new Map<string, NodeJS.Timeout>(); private processors = new Map<string, DataProcessor>(); private lineageGraph = new Map<string, DataLineage>(); constructor() { super(); this.initializeDefaultProcessors(); this.startScheduler(); this.startMonitoring(); } // Pipeline Management async createPipeline(definition: Omit<DataPipelineDefinition, 'id' | 'createdAt' | 'updatedAt'>): Promise<string> { try { const pipelineId = this.generateId(); const pipeline: DataPipelineDefinition = { id: pipelineId, createdAt: new Date(), updatedAt: new Date(), ...definition }; // Validate pipeline definition await this.validatePipeline(pipeline); this.pipelines.set(pipelineId, pipeline); // Setup triggers if (pipeline.schedule) { this.setupSchedule(pipelineId, pipeline.schedule); } for (const trigger of pipeline.triggers) { await this.setupTrigger(pipelineId, trigger); } this.emit('pipelineCreated', { pipeline }); return pipelineId; } catch (error) { this.emit('error', { operation: 'createPipeline', error }); throw error; } } async updatePipeline(pipelineId: string, updates: Partial<DataPipelineDefinition>): Promise<boolean> { try { const pipeline = this.pipelines.get(pipelineId); if (!pipeline) { throw new Error(`Pipeline ${pipelineId} not found`); } Object.assign(pipeline, updates, { updatedAt: new Date() }); // Re-setup schedule if changed if (updates.schedule) { this.cleanupSchedule(pipelineId); this.setupSchedule(pipelineId, updates.schedule); } this.emit('pipelineUpdated', { pipeline }); return true; } catch (error) { this.emit('error', { operation: 'updatePipeline', error }); return false; } } async deletePipeline(pipelineId: string): Promise<boolean> { try { const pipeline = this.pipelines.get(pipelineId); if (!pipeline) { return false; } // Check for active executions const activeExecution = this.activeExecutions.get(pipelineId); if (activeExecution) { throw new Error('Cannot delete pipeline with active execution'); } this.pipelines.delete(pipelineId); this.cleanupSchedule(pipelineId); this.emit('pipelineDeleted', { pipelineId }); return true; } catch (error) { this.emit('error', { operation: 'deletePipeline', error }); return false; } } async getPipeline(pipelineId: string): Promise<DataPipelineDefinition | undefined> { return this.pipelines.get(pipelineId); } async getPipelines(filters?: { owner?: string; status?: string; tags?: string[]; }): Promise<DataPipelineDefinition[]> { let pipelines = Array.from(this.pipelines.values()); if (filters) { if (filters.owner) { pipelines = pipelines.filter(p => p.owner === filters.owner); } if (filters.status) { pipelines = pipelines.filter(p => p.status === filters.status); } if (filters.tags && filters.tags.length > 0) { pipelines = pipelines.filter(p => filters.tags!.some(tag => p.tags.includes(tag)) ); } } return pipelines.sort((a, b) => b.updatedAt.getTime() - a.updatedAt.getTime()); } // Pipeline Execution async executePipeline( pipelineId: string, triggeredBy: string = 'manual', parameters?: Record<string, any> ): Promise<string> { try { const pipeline = this.pipelines.get(pipelineId); if (!pipeline) { throw new Error(`Pipeline ${pipelineId} not found`); } if (pipeline.status !== 'active') { throw new Error(`Pipeline ${pipelineId} is not active`); } const executionId = this.generateId(); const execution: PipelineExecution = { id: executionId, pipelineId, version: pipeline.version, status: 'pending', startTime: new Date(), triggeredBy, triggerType: 'manual', stageExecutions: pipeline.stages.map(stage => ({ stageId: stage.id, status: 'pending', attempt: 0, metrics: { inputRecords: 0, outputRecords: 0, processedBytes: 0, errorRecords: 0, processingTime: 0, resourceUsage: {} }, logs: [], errors: [] })), metrics: { recordsProcessed: 0, bytesProcessed: 0, recordsPerSecond: 0, cpuUsage: 0, memoryUsage: 0, diskUsage: 0, networkIO: 0, customMetrics: {} }, errors: [], outputs: [], checkpoints: [] }; this.executions.set(executionId, execution); this.activeExecutions.set(pipelineId, execution); this.emit('executionStarted', { execution }); // Start execution asynchronously this.processExecution(execution, pipeline, parameters); return executionId; } catch (error) { this.emit('error', { operation: 'executePipeline', error }); throw error; } } async stopExecution(executionId: string): Promise<boolean> { try { const execution = this.executions.get(executionId); if (!execution || execution.status !== 'running') { return false; } execution.status = 'cancelled'; execution.endTime = new Date(); execution.duration = execution.endTime.getTime() - execution.startTime.getTime(); this.activeExecutions.delete(execution.pipelineId); this.emit('executionStopped', { execution }); return true; } catch (error) { this.emit('error', { operation: 'stopExecution', error }); return false; } } async getExecution(executionId: string): Promise<PipelineExecution | undefined> { return this.executions.get(executionId); } async getExecutions( pipelineId?: string, limit: number = 50 ): Promise<PipelineExecution[]> { let executions = Array.from(this.executions.values()); if (pipelineId) { executions = executions.filter(e => e.pipelineId === pipelineId); } return executions .sort((a, b) => b.startTime.getTime() - a.startTime.getTime()) .slice(0, limit); } async getActiveExecutions(): Promise<PipelineExecution[]> { return Array.from(this.activeExecutions.values()); } // Data Lineage async recordLineage(lineage: DataLineage): Promise<void> { this.lineageGraph.set(lineage.executionId, lineage); this.emit('lineageRecorded', { lineage }); } async getDataLineage( datasetId: string, direction: 'upstream' | 'downstream' | 'both' = 'both' ): Promise<DataLineage[]> { const lineages: DataLineage[] = []; for (const lineage of this.lineageGraph.values()) { const hasInput = lineage.inputs.some(input => input.id === datasetId); const hasOutput = lineage.outputs.some(output => output.id === datasetId); if ((direction === 'upstream' && hasOutput) || (direction === 'downstream' && hasInput) || (direction === 'both' && (hasInput || hasOutput))) { lineages.push(lineage); } } return lineages.sort((a, b) => b.timestamp.getTime() - a.timestamp.getTime()); } // Monitoring and Analytics async getPipelineMetrics(pipelineId: string, timeRange?: { start: Date; end: Date }): Promise<{ executionStats: { total: number; successful: number; failed: number; avgDuration: number; }; resourceUsage: { avgCpu: number; avgMemory: number; avgStorage: number; }; dataStats: { totalRecords: number; totalBytes: number; avgThroughput: number; }; errorStats: { totalErrors: number; errorsByType: Record<string, number>; errorsByStage: Record<string, number>; }; }> { let executions = Array.from(this.executions.values()) .filter(e => e.pipelineId === pipelineId); if (timeRange) { executions = executions.filter(e => e.startTime >= timeRange.start && e.startTime <= timeRange.end ); } const total = executions.length; const successful = executions.filter(e => e.status === 'completed').length; const failed = executions.filter(e => e.status === 'failed').length; const completedExecutions = executions.filter(e => e.duration); const avgDuration = completedExecutions.length > 0 ? completedExecutions.reduce((sum, e) => sum + (e.duration || 0), 0) / completedExecutions.length : 0; const avgCpu = executions.reduce((sum, e) => sum + e.metrics.cpuUsage, 0) / Math.max(total, 1); const avgMemory = executions.reduce((sum, e) => sum + e.metrics.memoryUsage, 0) / Math.max(total, 1); const avgStorage = executions.reduce((sum, e) => sum + e.metrics.diskUsage, 0) / Math.max(total, 1); const totalRecords = executions.reduce((sum, e) => sum + e.metrics.recordsProcessed, 0); const totalBytes = executions.reduce((sum, e) => sum + e.metrics.bytesProcessed, 0); const avgThroughput = executions.reduce((sum, e) => sum + e.metrics.recordsPerSecond, 0) / Math.max(total, 1); const allErrors = executions.flatMap(e => e.errors); const totalErrors = allErrors.length; const errorsByType: Record<string, number> = {}; const errorsByStage: Record<string, number> = {}; allErrors.forEach(error => { errorsByType[error.type] = (errorsByType[error.type] || 0) + 1; if (error.stageId) { errorsByStage[error.stageId] = (errorsByStage[error.stageId] || 0) + 1; } }); return { executionStats: { total, successful, failed, avgDuration }, resourceUsage: { avgCpu, avgMemory, avgStorage }, dataStats: { totalRecords, totalBytes, avgThroughput }, errorStats: { totalErrors, errorsByType, errorsByStage } }; } async getSystemHealth(): Promise<{ status: 'healthy' | 'degraded' | 'unhealthy'; activePipelines: number; runningExecutions: number; queuedExecutions: number; errorRate: number; avgLatency: number; resourceUtilization: number; issues: string[]; }> { const activePipelines = Array.from(this.pipelines.values()) .filter(p => p.status === 'active').length; const runningExecutions = Array.from(this.activeExecutions.values()) .filter(e => e.status === 'running').length; const queuedExecutions = Array.from(this.activeExecutions.values()) .filter(e => e.status === 'pending').length; // Calculate error rate from last 24 hours const yesterday = new Date(Date.now() - 24 * 60 * 60 * 1000); const recentExecutions = Array.from(this.executions.values()) .filter(e => e.startTime > yesterday); const errorRate = recentExecutions.length > 0 ? recentExecutions.filter(e => e.status === 'failed').length / recentExecutions.length : 0; const avgLatency = recentExecutions.length > 0 ? recentExecutions.reduce((sum, e) => sum + (e.duration || 0), 0) / recentExecutions.length : 0; // Simplified resource utilization const resourceUtilization = Math.random() * 0.3 + 0.4; // 40-70% const issues: string[] = []; if (errorRate > 0.1) issues.push('High error rate detected'); if (avgLatency > 300000) issues.push('High execution latency detected'); // 5 minutes if (resourceUtilization > 0.8) issues.push('High resource utilization'); if (queuedExecutions > 10) issues.push('High queue backlog'); let status: 'healthy' | 'degraded' | 'unhealthy' = 'healthy'; if (issues.length > 0) { status = issues.length > 2 ? 'unhealthy' : 'degraded'; } return { status, activePipelines, runningExecutions, queuedExecutions, errorRate, avgLatency, resourceUtilization, issues }; } // Data Processing registerProcessor(name: string, processor: DataProcessor): void { this.processors.set(name, processor); this.emit('processorRegistered', { name }); } private async processExecution( execution: PipelineExecution, pipeline: DataPipelineDefinition, parameters?: Record<string, any> ): Promise<void> { try { execution.status = 'running'; this.emit('executionRunning', { execution }); // Execute stages in dependency order const sortedStages = this.topologicalSort(pipeline.stages); for (const stage of sortedStages) { await this.executeStage(execution, stage, pipeline, parameters); if (execution.status === 'cancelled') { break; } } if (execution.status !== 'cancelled') { execution.status = 'completed'; } execution.endTime = new Date(); execution.duration = execution.endTime.getTime() - execution.startTime.getTime(); this.activeExecutions.delete(pipeline.id); this.emit('executionCompleted', { execution }); // Record data lineage if (pipeline.configuration.lineage) { await this.generateLineage(execution, pipeline); } } catch (error) { execution.status = 'failed'; execution.endTime = new Date(); execution.duration = execution.endTime!.getTime() - execution.startTime.getTime(); execution.errors.push({ type: 'ExecutionError', message: error.message, timestamp: new Date(), context: { parameters } }); this.activeExecutions.delete(pipeline.id); this.emit('executionFailed', { execution, error }); } } private async executeStage( execution: PipelineExecution, stage: PipelineStage, pipeline: DataPipelineDefinition, parameters?: Record<string, any> ): Promise<void> { const stageExecution = execution.stageExecutions.find(s => s.stageId === stage.id)!; try { stageExecution.status = 'running'; stageExecution.startTime = new Date(); stageExecution.attempt++; this.emit('stageStarted', { execution, stage, stageExecution }); const processor = this.processors.get(stage.config.processor); if (!processor) { throw new Error(`Processor ${stage.config.processor} not found`); } // Prepare stage context const context: StageContext = { execution, stage, pipeline, parameters: { ...stage.config.parameters, ...parameters }, inputs: stage.inputs, outputs: stage.outputs }; // Execute stage with timeout const result = await this.executeWithTimeout( () => processor.process(context), stage.timeout ); // Update metrics stageExecution.metrics = result.metrics; stageExecution.logs.push(...result.logs); stageExecution.status = 'completed'; stageExecution.endTime = new Date(); stageExecution.duration = stageExecution.endTime.getTime() - stageExecution.startTime!.getTime(); this.emit('stageCompleted', { execution, stage, stageExecution }); } catch (error) { stageExecution.status = 'failed'; stageExecution.endTime = new Date(); stageExecution.duration = stageExecution.endTime.getTime() - stageExecution.startTime!.getTime(); stageExecution.errors.push(error.message); execution.errors.push({ stageId: stage.id, type: error.constructor.name, message: error.message, stackTrace: error.stack, timestamp: new Date(), context: { stage: stage.name } }); // Handle stage failure based on retry policy if (stageExecution.attempt < stage.retryPolicy.maxAttempts) { const delay = this.calculateRetryDelay(stageExecution.attempt, stage.retryPolicy); await new Promise(resolve => setTimeout(resolve, delay)); // Retry stage await this.executeStage(execution, stage, pipeline, parameters); } else { this.emit('stageFailed', { execution, stage, stageExecution, error }); if (pipeline.configuration.failureHandling === 'stop') { throw error; } } } } private async executeWithTimeout<T>( fn: () => Promise<T>, timeout: number ): Promise<T> { return new Promise((resolve, reject) => { const timer = setTimeout(() => { reject(new Error(`Operation timed out after ${timeout}ms`)); }, timeout); fn() .then(result => { clearTimeout(timer); resolve(result); }) .catch(error => { clearTimeout(timer); reject(error); }); }); } private calculateRetryDelay(attempt: number, retryPolicy: RetryPolicy): number { const { backoffStrategy, initialDelay, maxDelay } = retryPolicy; let delay = initialDelay; switch (backoffStrategy) { case 'exponential': delay = initialDelay * Math.pow(2, attempt - 1); break; case 'linear': delay = initialDelay * attempt; break; case 'fixed': default: delay = initialDelay; break; } return Math.min(delay, maxDelay); } private topologicalSort(stages: PipelineStage[]): PipelineStage[] { const visited = new Set<string>(); const sorted: PipelineStage[] = []; const visit = (stage: PipelineStage) => { if (visited.has(stage.id)) return; visited.add(stage.id); // Visit dependencies first for (const depId of stage.dependencies) { const depStage = stages.find(s => s.id === depId); if (depStage) { visit(depStage); } } sorted.push(stage); }; stages.forEach(stage => visit(stage)); return sorted; } private async validatePipeline(pipeline: DataPipelineDefinition): Promise<void> { // Validate stages have required processors for (const stage of pipeline.stages) { if (!this.processors.has(stage.config.processor)) { throw new Error(`Unknown processor: ${stage.config.processor}`); } } // Validate dependencies const stageIds = new Set(pipeline.stages.map(s => s.id)); for (const stage of pipeline.stages) { for (const depId of stage.dependencies) { if (!stageIds.has(depId)) { throw new Error(`Invalid dependency: ${depId} for stage ${stage.id}`); } } } // Check for circular dependencies if (this.hasCircularDependencies(pipeline.stages)) { throw new Error('Circular dependencies detected'); } } private hasCircularDependencies(stages: PipelineStage[]): boolean { const visited = new Set<string>(); const recursionStack = new Set<string>(); const hasCycle = (stageId: string): boolean => { if (recursionStack.has(stageId)) return true; if (visited.has(stageId)) return false; visited.add(stageId); recursionStack.add(stageId); const stage = stages.find(s => s.id === stageId); if (stage) { for (const depId of stage.dependencies) { if (hasCycle(depId)) return true; } } recursionStack.delete(stageId); return false; }; for (const stage of stages) { if (hasCycle(stage.id)) return true; } return false; } private setupSchedule(pipelineId: string, schedule: PipelineSchedule): void { if (!schedule.enabled) return; let interval: number; if (schedule.type === 'interval') { interval = this.parseInterval(schedule.expression); } else if (schedule.type === 'cron') { // Simplified cron parsing - in production use proper cron library interval = 60000; // Default 1 minute } else { return; } const job = setInterval(() => { this.executePipeline(pipelineId, 'scheduler'); }, interval); this.scheduledJobs.set(pipelineId, job); } private cleanupSchedule(pipelineId: string): void { const job = this.scheduledJobs.get(pipelineId); if (job) { clearInterval(job); this.scheduledJobs.delete(pipelineId); } } private async setupTrigger(pipelineId: string, trigger: PipelineTrigger): Promise<void> { // Setup trigger based on type this.emit('triggerSetup', { pipelineId, trigger }); } private parseInterval(expression: string): number { const match = expression.match(/(\d+)\s*(s|m|h|d)/); if (!match) return 60000; // Default 1 minute const value = parseInt(match[1]); const unit = match[2]; switch (unit) { case 's': return value * 1000; case 'm': return value * 60 * 1000; case 'h': return value * 60 * 60 * 1000; case 'd': return value * 24 * 60 * 60 * 1000; default: return 60000; } } private async generateLineage( execution: PipelineExecution, pipeline: DataPipelineDefinition ): Promise<void> { const lineage: DataLineage = { pipelineId: pipeline.id, executionId: execution.id, timestamp: new Date(), inputs: [], outputs: [], transformations: [] }; // Extract lineage from stage configurations for (const stage of pipeline.stages) { // Add inputs and outputs based on stage configuration // This would be more sophisticated in a real implementation } await this.recordLineage(lineage); } private startScheduler(): void { // Scheduler is started when pipelines are created } private startMonitoring(): void { setInterval(() => { this.collectMetrics(); }, 30000); // Every 30 seconds } private collectMetrics(): void { for (const execution of this.activeExecutions.values()) { // Update execution metrics execution.metrics.cpuUsage = Math.random() * 100; execution.metrics.memoryUsage = Math.random() * 100; execution.metrics.diskUsage = Math.random() * 100; execution.metrics.networkIO = Math.random() * 1000000; } } private initializeDefaultProcessors(): void { // Register built-in processors this.registerProcessor('extract_csv', new CSVExtractProcessor()); this.registerProcessor('transform_filter', new FilterTransformProcessor()); this.registerProcessor('load_database', new DatabaseLoadProcessor()); this.registerProcessor('validate_schema', new SchemaValidationProcessor()); } private generateId(): string { return Math.random().toString(36).substring(2, 15); } } // Processor Interfaces and Implementations export interface DataProcessor { process(context: StageContext): Promise<ProcessResult>; } export interface StageContext { execution: PipelineExecution; stage: PipelineStage; pipeline: DataPipelineDefinition; parameters: Record<string, any>; inputs: DataInput[]; outputs: DataOutput[]; } export interface ProcessResult { metrics: StageMetrics; logs: string[]; outputs?: any[]; } class CSVExtractProcessor implements DataProcessor { async process(context: StageContext): Promise<ProcessResult> { const { stage, parameters } = context; // Simulate CSV extraction await new Promise(resolve => setTimeout(resolve, 1000)); return { metrics: { inputRecords: 0, outputRecords: 1000, processedBytes: 50000, errorRecords: 0, processingTime: 1000, resourceUsage: { cpu: 20, memory: 100 } }, logs: ['CSV extraction completed', `Processed file: ${parameters.file_path}`] }; } } class FilterTransformProcessor implements DataProcessor { async process(context: StageContext): Promise<ProcessResult> { const { parameters } = context; // Simulate filtering await new Promise(resolve => setTimeout(resolve, 500)); return { metrics: { inputRecords: 1000, outputRecords: 800, processedBytes: 40000, errorRecords: 0, processingTime: 500, resourceUsage: { cpu: 15, memory: 50 } }, logs: ['Filter transformation completed', `Applied filter: ${parameters.condition}`] }; } } class DatabaseLoadProcessor implements DataProcessor { async process(context: StageContext): Promise<ProcessResult> { const { parameters } = context; // Simulate database loading await new Promise(resolve => setTimeout(resolve, 2000)); return { metrics: { inputRecords: 800, outputRecords: 800, processedBytes: 40000, errorRecords: 0, processingTime: 2000, resourceUsage: { cpu: 30, memory: 200 } }, logs: ['Database load completed', `Loaded to table: ${parameters.table_name}`] }; } } class SchemaValidationProcessor implements DataProcessor { async process(context: StageContext): Promise<ProcessResult> { // Simulate schema validation await new Promise(resolve => setTimeout(resolve, 300)); return { metrics: { inputRecords: 1000, outputRecords: 995, processedBytes: 50000, errorRecords: 5, processingTime: 300, resourceUsage: { cpu: 10, memory: 30 } }, logs: ['Schema validation completed', '5 records failed validation'] }; } }