markitect-main/history/EPIC_65_BATCH_PROCESSING.md

Epic #65: Batch Processing & Workflows

Priority: High - Required for production business use Phase: 2 (Automation & Scale) Epic Owner: Requirements Engineering Agent Created: 2025-10-02

Epic Overview

Enable enterprise-scale document automation through comprehensive batch processing and workflow orchestration capabilities. Transform MarkiTect from single-document operations to production-ready business process automation supporting hundreds or thousands of documents.

Business Value

• Mass Generation: Process customer databases to generate hundreds of invoices/reports
• Automated Workflows: Orchestrate complex document pipelines with validation steps
• Enterprise Scale: Support business operations requiring high-volume document processing
• Process Automation: Replace manual document generation with automated workflows

Epic Acceptance Criteria

• Process 1000+ documents in single batch operation with progress tracking
• Generate invoices from customer database with error handling and reporting
• Orchestrate multi-step workflows (generate → validate → export → notify)
• Support multiple data source formats (CSV, JSON, Database, API)
• Provide comprehensive batch operation reporting and error management
• Scale to enterprise requirements with parallel processing

Architecture Integration

Existing Integration Points

• Template Engine: Use templates from Epic #64 for batch generation
• CLI Commands: Extend with batch-oriented commands
• Database: Store batch jobs, progress, and results
• Quality Assurance: Integrate batch validation with QA workflows
• Error Handling: Comprehensive error tracking and recovery

New Domain Models Required

• BatchJob: Batch operation definition and tracking
• WorkflowEngine: Multi-step process orchestration
• DataSource: External data source abstraction
• BatchProgress: Progress tracking and reporting
• BatchResult: Operation results and error reporting

Decomposed Issues

Issue #65.1: Batch Job Engine Foundation

Priority: Critical | Effort: Large | Dependencies: Epic #64

Description: Implement core batch processing engine with job management and progress tracking

Acceptance Criteria:

• Define and execute batch jobs with progress tracking
• Support parallel processing with configurable worker threads
• Job queuing and scheduling capabilities
• Progress reporting with estimated completion times
• Error recovery and retry mechanisms
• CLI command: markitect batch create --template invoice.md --data customers.csv

Technical Requirements:

• Job queue management with persistence
• Worker thread pool for parallel processing
• Progress tracking with real-time updates
• Error handling with retry logic and fallback strategies

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Issue #65.2: Multi-Source Data Integration

Priority: Critical | Effort: Large | Dependencies: #65.1

Description: Support multiple data source formats and external system integration

Acceptance Criteria:

• CSV file processing with column mapping
• JSON data source support with nested object handling
• Database connectivity (SQLite, PostgreSQL, MySQL)
• REST API data source integration
• Data transformation and mapping capabilities
• Error handling for invalid or missing data

Technical Requirements:

• Data source adapter architecture with plugin system
• Schema validation and data type conversion
• Connection pooling and resource management
• Data transformation pipeline with filtering and mapping

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Issue #65.3: Workflow Orchestration Engine

Priority: High | Effort: Large | Dependencies: #65.1, #65.2

Description: Implement multi-step workflow orchestration for complex business processes

Acceptance Criteria:

• Define workflows with multiple steps and conditions
• Support workflow branching based on data or results
• Step-by-step execution with intermediate validation
• Workflow templates for common business processes
• Error handling and workflow recovery mechanisms
• Workflow visualization and monitoring

Technical Requirements:

• Workflow definition language (YAML/JSON)
• Step execution engine with context management
• Conditional execution and branching logic
• Workflow state persistence and recovery

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Issue #65.4: Batch Validation & Quality Control

Priority: High | Effort: Medium | Dependencies: #65.1, Epic #64

Description: Implement comprehensive validation and quality control for batch operations

Acceptance Criteria:

• Pre-batch validation of templates and data sources
• Real-time validation during batch processing
• Quality gates with configurable validation rules
• Integration with existing QA checklist system
• Validation reporting with detailed error descriptions
• Automatic retry for validation failures

Technical Requirements:

• Validation rule engine with configurable rules
• Integration with existing template and schema validation
• Quality metrics collection and reporting
• Error categorization and remediation suggestions

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Issue #65.5: Batch Monitoring & Reporting

Priority: Medium | Effort: Medium | Dependencies: #65.1

Description: Provide comprehensive monitoring and reporting for batch operations

Acceptance Criteria:

• Real-time batch progress monitoring with web dashboard
• Detailed batch operation reports with success/failure statistics
• Performance metrics and optimization recommendations
• Batch history with searchable logs
• Email/webhook notifications for batch completion/failure
• Export batch reports in multiple formats

Technical Requirements:

• Monitoring dashboard with real-time updates
• Comprehensive logging and audit trail
• Report generation with customizable formats
• Notification system with multiple delivery methods

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Issue #65.6: Enterprise Integration & APIs

Priority: Medium | Effort: Medium | Dependencies: #65.1, #65.2

Description: Provide enterprise integration capabilities and REST API access

Acceptance Criteria:

• REST API for batch job creation and monitoring
• Webhook integration for external system notifications
• Enterprise authentication and authorization
• API rate limiting and quota management
• Integration with existing enterprise systems (ERP, CRM)
• SDK/client libraries for common languages

Technical Requirements:

• RESTful API design with OpenAPI specification
• Authentication system with JWT/OAuth support
• Rate limiting and quota enforcement
• Client SDK generation and documentation

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Issue #65.7: Performance Optimization & Scaling

Priority: High | Effort: Medium | Dependencies: All above

Description: Optimize performance for enterprise-scale batch operations

Acceptance Criteria:

• Process 1000+ documents in under 5 minutes
• Memory optimization for large batch operations
• Horizontal scaling with multiple worker instances
• Caching strategies for improved performance
• Resource monitoring and automatic scaling
• Performance benchmarking and optimization tools

Technical Requirements:

• Performance profiling and optimization
• Caching layer with intelligent cache invalidation
• Horizontal scaling architecture
• Resource monitoring and alerting

Epic Dependencies

External Dependencies

• Epic #64 (Template & Calculation Engine) - Required for template-based batch generation
• Database systems for data source integration
• External APIs and systems for enterprise integration

Internal Dependencies

• Existing CLI command architecture
• Current validation and QA systems
• Database and storage infrastructure
• Error handling and logging frameworks

Success Metrics

Technical Metrics

• Batch processing speed: 1000+ documents in <5 minutes
• Memory efficiency: Linear memory usage with batch size
• Error handling: <1% unrecoverable failures
• Concurrency: Support 10+ parallel batch jobs

Business Metrics

• Enterprise adoption: Support for major business use cases
• Workflow automation: 5+ predefined business workflow templates
• Integration success: Connect to common enterprise systems
• User satisfaction: Comprehensive monitoring and error reporting

Implementation Timeline

Phase 1 (Issues #65.1, #65.2): Core batch engine and data integration (3-4 weeks) Phase 2 (Issues #65.3, #65.4): Workflow orchestration and validation (2-3 weeks) Phase 3 (Issues #65.5, #65.6, #65.7): Monitoring, APIs, and optimization (2-3 weeks)

Total Epic Duration: 7-10 weeks

Risk Mitigation

• Performance Risk: Implement caching and optimization from the start
• Scalability Risk: Design for horizontal scaling from foundation
• Integration Risk: Start with common data sources, expand incrementally
• Complexity Risk: Begin with simple workflows, add advanced features iteratively