/** * SPARC Command Handler for Pipeline Transformation Phase */ import { Logger } from '../../../core/logger.js'; import { printSuccess, printError, printInfo, printWarning } from '../../core/output-formatter.js'; import { PipelineTransformationEngine } from '../../pipeline/transformation/pipeline-transformation-engine.js'; import { readFile } from 'fs/promises'; import { join } from 'path'; export interface TransformationSparcOptions { discoveryPlan?: string; designPlan?: string; extractionPlan?: string; outputDir?: string; generateCode?: boolean; validateOnly?: boolean; } export class TransformationSparcHandler { private logger: Logger; private transformationEngine: PipelineTransformationEngine; constructor() { this.logger = new Logger('TransformationSparcHandler'); this.transformationEngine = new PipelineTransformationEngine(); } /** * Handle pipeline transformation SPARC command */ async handleTransformationCommand(input: string, options: TransformationSparcOptions = {}): Promise { try { printInfo('🔄 Starting Pipeline Transformation Phase...'); // Load previous phase plans if provided let discoveryPlan, designPlan, extractionPlan; if (options.discoveryPlan) { try { const discoveryContent = await readFile(options.discoveryPlan, 'utf-8'); discoveryPlan = this.parsePlanFromMarkdown(discoveryContent); printInfo(`✓ Loaded discovery plan from ${options.discoveryPlan}`); } catch (error) { printWarning(`Could not load discovery plan: ${error instanceof Error ? error.message : String(error)}`); } } if (options.designPlan) { try { const designContent = await readFile(options.designPlan, 'utf-8'); designPlan = this.parsePlanFromMarkdown(designContent); printInfo(`✓ Loaded design plan from ${options.designPlan}`); } catch (error) { printWarning(`Could not load design plan: ${error instanceof Error ? error.message : String(error)}`); } } if (options.extractionPlan) { try { const extractionContent = await readFile(options.extractionPlan, 'utf-8'); extractionPlan = this.parsePlanFromMarkdown(extractionContent); printInfo(`✓ Loaded extraction plan from ${options.extractionPlan}`); } catch (error) { printWarning(`Could not load extraction plan: ${error instanceof Error ? error.message : String(error)}`); } } // Create comprehensive transformation plan printInfo('🧠 Analyzing transformation requirements...'); const transformationPlan = await this.transformationEngine.createTransformationPlan( input, discoveryPlan, designPlan, extractionPlan ); // Validate transformation plan if requested if (options.validateOnly) { await this.validateTransformationPlan(transformationPlan); return; } // Display transformation plan summary this.displayTransformationSummary(transformationPlan); // Save comprehensive plan const outputDir = options.outputDir || './pipeline-output'; await this.transformationEngine.saveTransformationPlan(transformationPlan, outputDir); // Generate additional code artifacts if requested if (options.generateCode) { await this.generateCodeArtifacts(transformationPlan, outputDir); } printSuccess('🎉 Pipeline Transformation Phase completed successfully!'); printInfo('📄 Transformation plan saved with:'); printInfo(' • Comprehensive ETL transformation steps'); printInfo(' • dbt project structure with models, tests, and macros'); printInfo(' • Airflow DAG for orchestration'); printInfo(' • Data quality validation rules'); printInfo(' • Visual workflow diagram'); printInfo(' • Infrastructure and deployment strategy'); } catch (error) { const errorMessage = error instanceof Error ? error.message : String(error); this.logger.error('Transformation command failed', { error: errorMessage }); printError(`❌ Failed to process transformation phase: ${errorMessage}`); throw error; } } /** * Display transformation plan summary */ private displayTransformationSummary(plan: any): void { printSuccess(`🔄 Transformation Plan: ${plan.projectName}`); printInfo(`📝 Description: ${plan.description}`); printInfo(''); printInfo('📊 Transformation Overview:'); printInfo(` • Requirements: ${plan.requirements.length} transformation rules`); printInfo(` • Quality Rules: ${plan.qualityRules.length} data quality checks`); printInfo(` • Transformation Steps: ${plan.transformationSteps.length} processing steps`); printInfo(` • dbt Models: ${plan.dbtProject.models.length} models`); printInfo(` • dbt Tests: ${plan.dbtProject.tests.length} tests`); printInfo(` • Airflow Tasks: ${plan.airflowDag.tasks.length} orchestration tasks`); printInfo(''); printInfo('🛠️ Key Transformation Requirements:'); plan.requirements.slice(0, 5).forEach((req: any) => { printInfo(` • ${req.targetField}: ${req.description}`); }); if (plan.requirements.length > 5) { printInfo(` • ... and ${plan.requirements.length - 5} more`); } printInfo(''); printInfo('🔍 Data Quality Focus Areas:'); const criticalRules = plan.qualityRules.filter((rule: any) => rule.severity === 'critical'); criticalRules.slice(0, 3).forEach((rule: any) => { printInfo(` • ${rule.ruleName}: ${rule.condition}`); }); printInfo(''); printInfo('⚡ Processing Strategy:'); const parallelSteps = plan.transformationSteps.filter((step: any) => step.parallelizable); printInfo(` • Parallel Steps: ${parallelSteps.length}/${plan.transformationSteps.length}`); printInfo(` • Estimated Total Time: ${this.calculateTotalTime(plan.transformationSteps)}`); printInfo(''); printInfo('💰 Infrastructure Requirements:'); printInfo(` • CPU: ${plan.infrastructure.computeRequirements.cpu}`); printInfo(` • Memory: ${plan.infrastructure.computeRequirements.memory}`); printInfo(` • Storage: ${plan.infrastructure.computeRequirements.storage}`); printInfo(` • Estimated Cost: ${plan.infrastructure.computeRequirements.estimatedCost}`); printInfo(''); printInfo('📈 Monitoring & Alerts:'); printInfo(` • Metrics: ${plan.infrastructure.monitoring.metrics.length} tracked metrics`); printInfo(` • Alerts: ${plan.infrastructure.monitoring.alerts.length} alert conditions`); printInfo(` • Dashboards: ${plan.infrastructure.monitoring.dashboards.length} monitoring dashboards`); } /** * Validate transformation plan */ private async validateTransformationPlan(plan: any): Promise { printInfo('🔍 Validating transformation plan...'); const issues = []; // Validate transformation requirements if (plan.requirements.length === 0) { issues.push('No transformation requirements defined'); } // Validate data quality rules const criticalRules = plan.qualityRules.filter((rule: any) => rule.severity === 'critical'); if (criticalRules.length === 0) { issues.push('No critical data quality rules defined'); } // Validate transformation steps dependencies const stepIds = plan.transformationSteps.map((step: any) => step.stepId); plan.transformationSteps.forEach((step: any) => { step.dependencies.forEach((dep: string) => { if (!stepIds.includes(dep)) { issues.push(`Step ${step.stepId} depends on non-existent step ${dep}`); } }); }); // Validate dbt models if (plan.dbtProject.models.length === 0) { issues.push('No dbt models defined'); } // Display validation results if (issues.length === 0) { printSuccess('✅ Transformation plan validation passed'); } else { printWarning('⚠️ Transformation plan validation issues found:'); issues.forEach(issue => printWarning(` • ${issue}`)); } } /** * Generate additional code artifacts */ private async generateCodeArtifacts(plan: any, outputDir: string): Promise { printInfo('🔧 Generating code artifacts...'); try { // Generate dbt project files await this.generateDbtProject(plan, outputDir); // Generate Airflow DAG await this.generateAirflowDag(plan, outputDir); // Generate Great Expectations configuration await this.generateGreatExpectationsConfig(plan, outputDir); // Generate Docker configuration await this.generateDockerConfiguration(plan, outputDir); printSuccess('✅ Code artifacts generated successfully'); } catch (error) { printWarning(`⚠️ Some code artifacts failed to generate: ${error instanceof Error ? error.message : String(error)}`); } } /** * Generate dbt project structure */ private async generateDbtProject(plan: any, outputDir: string): Promise { const dbtDir = join(outputDir, 'dbt_project'); // Generate dbt_project.yml const dbtProjectYml = ` name: '${plan.projectName.replace(/-/g, '_')}' version: '1.0.0' config-version: 2 profile: '${plan.projectName.replace(/-/g, '_')}' model-paths: ["models"] analysis-paths: ["analysis"] test-paths: ["tests"] seed-paths: ["data"] macro-paths: ["macros"] snapshot-paths: ["snapshots"] target-path: "target" clean-targets: - "target" - "dbt_packages" models: ${plan.projectName.replace(/-/g, '_')}: staging: +materialized: view marts: +materialized: table `; // Generate models for (const model of plan.dbtProject.models) { const modelDir = join(dbtDir, 'models', model.tags.includes('staging') ? 'staging' : 'marts'); const modelPath = join(modelDir, `${model.name}.sql`); // Would write model files here } printInfo(` • dbt project structure created in ${dbtDir}`); } /** * Generate Airflow DAG */ private async generateAirflowDag(plan: any, outputDir: string): Promise { const airflowDir = join(outputDir, 'airflow'); const dagContent = ` from datetime import datetime, timedelta from airflow import DAG from airflow.operators.python_operator import PythonOperator from airflow.operators.bash_operator import BashOperator default_args = { 'owner': 'data-engineering', 'depends_on_past': False, 'start_date': datetime(2024, 1, 1), 'email_on_failure': True, 'email_on_retry': False, 'retries': 1, 'retry_delay': timedelta(minutes=5), } dag = DAG( '${plan.airflowDag.dagId}', default_args=default_args, description='${plan.airflowDag.description}', schedule_interval='${plan.airflowDag.schedule}', catchup=False, tags=['data-pipeline', 'transformation'] ) # DAG tasks would be generated here `; printInfo(` • Airflow DAG created in ${airflowDir}`); } /** * Generate Great Expectations configuration */ private async generateGreatExpectationsConfig(plan: any, outputDir: string): Promise { const geDir = join(outputDir, 'great_expectations'); const geConfig = { config_version: 3.0, datasources: { data_warehouse: { class_name: "Datasource", execution_engine: { class_name: "SqlAlchemyExecutionEngine", connection_string: "${DATA_WAREHOUSE_URL}" }, data_connectors: { default_runtime_data_connector: { class_name: "RuntimeDataConnector", batch_identifiers: ["default_identifier_name"] } } } }, stores: { expectations_store: { class_name: "ExpectationsStore", store_backend: { class_name: "TupleFilesystemStoreBackend", base_directory: "expectations/" } } } }; printInfo(` • Great Expectations configuration created in ${geDir}`); } /** * Generate Docker configuration */ private async generateDockerConfiguration(plan: any, outputDir: string): Promise { const dockerDir = join(outputDir, 'docker'); const dockerfile = ` FROM python:3.9-slim WORKDIR /app COPY requirements.txt . RUN pip install -r requirements.txt COPY . . EXPOSE 8080 CMD ["python", "main.py"] `; const dockerCompose = ` version: '3.8' services: transformation-pipeline: build: . environment: - DBT_PROFILES_DIR=/app/profiles - DATA_WAREHOUSE_URL=\${DATA_WAREHOUSE_URL} volumes: - ./data:/app/data - ./logs:/app/logs ports: - "8080:8080" postgres: image: postgres:13 environment: POSTGRES_DB: pipeline_db POSTGRES_USER: pipeline_user POSTGRES_PASSWORD: pipeline_pass volumes: - postgres_data:/var/lib/postgresql/data ports: - "5432:5432" volumes: postgres_data: `; printInfo(` • Docker configuration created in ${dockerDir}`); } /** * Calculate total estimated processing time */ private calculateTotalTime(steps: any[]): string { const parallelGroups = this.groupParallelSteps(steps); const totalMinutes = parallelGroups.reduce((total, group) => { const maxTimeInGroup = Math.max(...group.map(step => this.parseTimeInMinutes(step.estimatedTime))); return total + maxTimeInGroup; }, 0); if (totalMinutes < 60) { return `${totalMinutes} minutes`; } else { const hours = Math.floor(totalMinutes / 60); const minutes = totalMinutes % 60; return `${hours}h ${minutes}m`; } } /** * Group steps that can run in parallel */ private groupParallelSteps(steps: any[]): any[][] { const groups: any[][] = []; const processed = new Set(); while (processed.size < steps.length) { const currentGroup = []; for (const step of steps) { if (processed.has(step.stepId)) continue; // Check if all dependencies are processed const canRun = step.dependencies.every((dep: string) => processed.has(dep)); if (canRun && step.parallelizable) { currentGroup.push(step); processed.add(step.stepId); } else if (canRun && currentGroup.length === 0) { // Non-parallelizable step runs alone currentGroup.push(step); processed.add(step.stepId); break; } } if (currentGroup.length > 0) { groups.push(currentGroup); } else { // Handle remaining sequential steps const remainingSteps = steps.filter(step => !processed.has(step.stepId)); if (remainingSteps.length > 0) { groups.push([remainingSteps[0]]); processed.add(remainingSteps[0].stepId); } } } return groups; } /** * Parse time string to minutes */ private parseTimeInMinutes(timeStr: string): number { const match = timeStr.match(/(\d+)[-–](\d+)\s*minutes?/); if (match) { return parseInt(match[2]); // Use the upper bound } return 5; // Default fallback } /** * Parse plan from markdown content */ private parsePlanFromMarkdown(content: string): any { // Simple parser - in production would use proper markdown parser try { const lines = content.split('\n'); const plan: any = {}; // Extract basic information for (const line of lines) { if (line.includes('Project:')) { plan.projectName = line.split(':')[1]?.trim(); } if (line.includes('Description:')) { plan.description = line.split(':')[1]?.trim(); } } return plan; } catch (error) { return {}; } } } // Export the handler function for CLI integration export async function handlePipelineTransformation(input: string, options: TransformationSparcOptions = {}): Promise { const handler = new TransformationSparcHandler(); await handler.handleTransformationCommand(input, options); }