# 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 --- ### **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 --- ### **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 --- ### **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 --- ### **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 --- ### **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 --- ### **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