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EPIC-002: Workflow Engine #193

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EPIC-002: Workflow Engine#193
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agenticAgentic AI featuresenhancementNew feature or request
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v2.0 - Agentic AI Platform
@manavgup

Description

@manavgup
manavgup
opened on Sep 11, 2025

EPIC-002: Workflow Engine

Epic Overview

Epic Title: Implement Visual Workflow Engine for Complex Multi-Step Document Processing

Epic Description:
Build a comprehensive workflow engine that enables users to create, configure, and execute complex multi-step document processing workflows without writing code. The system will support conditional logic, parallel processing, loops, state persistence, and visual workflow design through a drag-and-drop interface.

Business Value:

  • Enable non-technical users to create sophisticated document processing workflows
  • Reduce development time for complex RAG pipelines
  • Provide reusable workflow templates for common use cases
  • Enable advanced document processing patterns with conditional logic and loops

Epic Priority: High
Epic Size: Large (Epic)
Target Release: Q1 2025

Technical Architecture

Current State Analysis

  • Existing linear pipeline in pipeline_service.py
  • No workflow orchestration capabilities
  • Limited to single-step processing
  • No visual workflow design tools
  • No conditional logic or branching

Target Architecture

Workflow Engine Layer
├── Visual Workflow Designer (Frontend)
├── Workflow Definition Language (JSON/YAML)
├── Workflow Execution Engine
├── State Management System
├── Conditional Logic Processor
├── Parallel Processing Coordinator
└── Workflow Template Library

Database Schema Changes

New Tables Required

1. Workflows Table

CREATE TABLE workflows (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    name VARCHAR(255) NOT NULL,
    description TEXT,
    user_id UUID REFERENCES users(id),
    collection_id UUID REFERENCES collections(id),
    workflow_definition JSONB NOT NULL, -- Complete workflow graph
    version INTEGER DEFAULT 1,
    status VARCHAR(50) DEFAULT 'draft', -- 'draft', 'published', 'archived'
    is_template BOOLEAN DEFAULT FALSE,
    template_category VARCHAR(100),
    tags TEXT[],
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW(),
    published_at TIMESTAMP,
    
    CONSTRAINT workflows_name_user_unique UNIQUE (name, user_id)
);

2. Workflow Executions Table

CREATE TABLE workflow_executions (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    workflow_id UUID REFERENCES workflows(id),
    user_id UUID REFERENCES users(id),
    execution_name VARCHAR(255),
    input_data JSONB,
    output_data JSONB,
    current_state JSONB, -- Current execution state
    execution_graph JSONB, -- Snapshot of workflow at execution time
    status VARCHAR(50) DEFAULT 'pending', -- 'pending', 'running', 'completed', 'failed', 'cancelled'
    progress_percentage INTEGER DEFAULT 0,
    error_message TEXT,
    started_at TIMESTAMP,
    completed_at TIMESTAMP,
    created_at TIMESTAMP DEFAULT NOW()
);

3. Workflow Steps Table

CREATE TABLE workflow_steps (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    execution_id UUID REFERENCES workflow_executions(id),
    step_id VARCHAR(255) NOT NULL, -- Step identifier within workflow
    step_type VARCHAR(100) NOT NULL, -- 'document_ingestion', 'chunking', 'embedding', 'search', 'synthesis', etc.
    step_name VARCHAR(255),
    input_data JSONB,
    output_data JSONB,
    configuration JSONB,
    status VARCHAR(50) DEFAULT 'pending', -- 'pending', 'running', 'completed', 'failed', 'skipped'
    error_message TEXT,
    started_at TIMESTAMP,
    completed_at TIMESTAMP,
    duration_ms INTEGER,
    retry_count INTEGER DEFAULT 0,
    created_at TIMESTAMP DEFAULT NOW()
);

4. Workflow Templates Table

CREATE TABLE workflow_templates (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    name VARCHAR(255) NOT NULL UNIQUE,
    description TEXT,
    category VARCHAR(100), -- 'document_analysis', 'research', 'qa_generation', 'summarization'
    workflow_definition JSONB NOT NULL,
    preview_image_url VARCHAR(500),
    difficulty_level VARCHAR(50), -- 'beginner', 'intermediate', 'advanced'
    estimated_time_minutes INTEGER,
    use_count INTEGER DEFAULT 0,
    rating DECIMAL(3,2),
    is_system_template BOOLEAN DEFAULT FALSE,
    created_by_user_id UUID REFERENCES users(id),
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW()
);

5. Workflow Variables Table

CREATE TABLE workflow_variables (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    execution_id UUID REFERENCES workflow_executions(id),
    variable_name VARCHAR(255) NOT NULL,
    variable_type VARCHAR(50), -- 'string', 'number', 'boolean', 'object', 'array'
    variable_value JSONB,
    scope VARCHAR(50) DEFAULT 'global', -- 'global', 'step', 'temporary'
    created_at TIMESTAMP DEFAULT NOW(),
    updated_at TIMESTAMP DEFAULT NOW(),
    
    CONSTRAINT workflow_variables_unique UNIQUE (execution_id, variable_name, scope)
);

6. Workflow Conditions Table

CREATE TABLE workflow_conditions (
    id UUID PRIMARY KEY DEFAULT gen_random_uuid(),
    execution_id UUID REFERENCES workflow_executions(id),
    step_id VARCHAR(255) NOT NULL,
    condition_expression TEXT NOT NULL, -- e.g., "document_count > 10 AND confidence > 0.8"
    evaluation_result BOOLEAN,
    evaluation_context JSONB,
    evaluated_at TIMESTAMP DEFAULT NOW()
);

New Models Required

1. Workflow Model (backend/rag_solution/models/workflow.py)

from sqlalchemy import String, DateTime, JSON, Boolean, Integer, DECIMAL, ARRAY, Text
from sqlalchemy.dialects.postgresql import UUID
from sqlalchemy.orm import Mapped, mapped_column, relationship
from typing import Dict, List, Any, Optional
import uuid
from datetime import datetime
from rag_solution.file_management.database import Base

class Workflow(Base):
    __tablename__ = "workflows"
    
    id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), primary_key=True, default=uuid.uuid4)
    name: Mapped[str] = mapped_column(String(255), nullable=False)
    description: Mapped[Optional[str]] = mapped_column(Text, nullable=True)
    user_id: Mapped[uuid.UUID] = mapped_column(UUID(as_uuid=True), ForeignKey("users.id"))
    collection_id: Mapped[Optional[uuid.UUID]] = mapped_column(UUID(as_uuid=True), ForeignKey("collections.id"), nullable=True)
    workflow_definition: Mapped[Dict[str, Any]] = mapped_column(JSON, nullable=False)
    version: Mapped[int] = mapped_column(Integer, default=1)
    status: Mapped[str] = mapped_column(String(50), default="draft")
    is_template: Mapped[bool] = mapped_column(Boolean, default=False)
    template_category: Mapped[Optional[str]] = mapped_column(String(100), nullable=True)
    tags: Mapped[Optional[List[str]]] = mapped_column(ARRAY(String), nullable=True)
    created_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.now)
    updated_at: Mapped[datetime] = mapped_column(DateTime, default=datetime.now, onupdate=datetime.now)
    published_at: Mapped[Optional[datetime]] = mapped_column(DateTime, nullable=True)
    
    # Relationships
    user: Mapped["User"] = relationship("User")
    collection: Mapped[Optional["Collection"]] = relationship("Collection")
    executions: Mapped[List["WorkflowExecution"]] = relationship("WorkflowExecution", back_populates="workflow")

2. Workflow Execution Model (backend/rag_solution/models/workflow_execution.py)

3. Workflow Step Model (backend/rag_solution/models/workflow_step.py)

4. Workflow Template Model (backend/rag_solution/models/workflow_template.py)

5. Workflow Variable Model (backend/rag_solution/models/workflow_variable.py)

6. Workflow Condition Model (backend/rag_solution/models/workflow_condition.py)

New Schemas Required

1. Workflow Schemas (backend/rag_solution/schemas/workflow_schema.py)

from pydantic import BaseModel, Field, validator
from typing import Dict, Any, List, Optional
from datetime import datetime
import uuid
from enum import Enum

class WorkflowStatus(str, Enum):
    DRAFT = "draft"
    PUBLISHED = "published"
    ARCHIVED = "archived"

class StepType(str, Enum):
    DOCUMENT_INGESTION = "document_ingestion"
    CHUNKING = "chunking"
    EMBEDDING = "embedding"
    SEARCH = "search"
    SYNTHESIS = "synthesis"
    VALIDATION = "validation"
    CONDITION = "condition"
    LOOP = "loop"
    PARALLEL = "parallel"
    MERGE = "merge"

class WorkflowStepDefinition(BaseModel):
    id: str = Field(..., description="Unique step identifier")
    type: StepType = Field(..., description="Type of workflow step")
    name: str = Field(..., description="Human-readable step name")
    description: Optional[str] = None
    configuration: Dict[str, Any] = Field(default_factory=dict)
    position: Dict[str, float] = Field(..., description="Position in visual editor")
    inputs: List[str] = Field(default_factory=list, description="Input connection points")
    outputs: List[str] = Field(default_factory=list, description="Output connection points")
    conditions: Optional[List[str]] = Field(default=None, description="Conditional expressions")

class WorkflowConnection(BaseModel):
    id: str = Field(..., description="Unique connection identifier")
    source_step: str = Field(..., description="Source step ID")
    source_output: str = Field(..., description="Source output point")
    target_step: str = Field(..., description="Target step ID")
    target_input: str = Field(..., description="Target input point")
    condition: Optional[str] = Field(default=None, description="Connection condition")

class WorkflowDefinition(BaseModel):
    steps: List[WorkflowStepDefinition] = Field(..., description="Workflow steps")
    connections: List[WorkflowConnection] = Field(..., description="Step connections")
    variables: Dict[str, Any] = Field(default_factory=dict, description="Global variables")
    metadata: Dict[str, Any] = Field(default_factory=dict, description="Workflow metadata")

class WorkflowBase(BaseModel):
    name: str = Field(..., min_length=1, max_length=255)
    description: Optional[str] = None
    workflow_definition: WorkflowDefinition
    is_template: bool = False
    template_category: Optional[str] = None
    tags: Optional[List[str]] = None

class WorkflowCreate(WorkflowBase):
    collection_id: Optional[uuid.UUID] = None

class WorkflowUpdate(BaseModel):
    name: Optional[str] = None
    description: Optional[str] = None
    workflow_definition: Optional[WorkflowDefinition] = None
    template_category: Optional[str] = None
    tags: Optional[List[str]] = None

class Workflow(WorkflowBase):
    id: uuid.UUID
    user_id: uuid.UUID
    collection_id: Optional[uuid.UUID]
    version: int
    status: WorkflowStatus
    created_at: datetime
    updated_at: datetime
    published_at: Optional[datetime]
    
    class Config:
        from_attributes = True

2. Workflow Execution Schemas (backend/rag_solution/schemas/workflow_execution_schema.py)

3. Workflow Template Schemas (backend/rag_solution/schemas/workflow_template_schema.py)

New Services Required

1. Workflow Service (backend/rag_solution/services/workflow_service.py)

Responsibilities:

  • Manage workflow CRUD operations
  • Validate workflow definitions
  • Handle workflow versioning

Key Methods:

class WorkflowService:
    async def create_workflow(self, user_id: UUID, workflow_data: WorkflowCreate) -> Workflow
    async def get_workflow(self, workflow_id: UUID, user_id: UUID) -> Workflow
    async def update_workflow(self, workflow_id: UUID, user_id: UUID, update_data: WorkflowUpdate) -> Workflow
    async def delete_workflow(self, workflow_id: UUID, user_id: UUID) -> bool
    async def publish_workflow(self, workflow_id: UUID, user_id: UUID) -> Workflow
    async def validate_workflow_definition(self, definition: WorkflowDefinition) -> Dict[str, Any]
    async def get_user_workflows(self, user_id: UUID) -> List[Workflow]

2. Workflow Execution Service (backend/rag_solution/services/workflow_execution_service.py)

Responsibilities:

  • Execute workflows
  • Manage execution state
  • Handle parallel processing and conditions

Key Methods:

class WorkflowExecutionService:
    async def start_execution(self, workflow_id: UUID, user_id: UUID, input_data: Dict[str, Any]) -> WorkflowExecution
    async def execute_step(self, execution_id: UUID, step_id: str) -> WorkflowStep
    async def evaluate_condition(self, execution_id: UUID, condition: str) -> bool
    async def get_execution_status(self, execution_id: UUID) -> Dict[str, Any]
    async def cancel_execution(self, execution_id: UUID) -> bool
    async def pause_execution(self, execution_id: UUID) -> bool
    async def resume_execution(self, execution_id: UUID) -> bool

3. Workflow Template Service (backend/rag_solution/services/workflow_template_service.py)

Responsibilities:

  • Manage workflow templates
  • Handle template marketplace
  • Template usage analytics

Key Methods:

class WorkflowTemplateService:
    async def get_templates(self, category: Optional[str] = None) -> List[WorkflowTemplate]
    async def create_template_from_workflow(self, workflow_id: UUID, template_data: Dict[str, Any]) -> WorkflowTemplate
    async def instantiate_template(self, template_id: UUID, user_id: UUID) -> Workflow
    async def rate_template(self, template_id: UUID, user_id: UUID, rating: float) -> bool
    async def get_popular_templates(self, limit: int = 10) -> List[WorkflowTemplate]

4. Workflow Variable Service (backend/rag_solution/services/workflow_variable_service.py)

Responsibilities:

  • Manage workflow variables
  • Handle variable scoping
  • Variable persistence across steps

5. Workflow Engine Service (backend/rag_solution/services/workflow_engine_service.py)

Responsibilities:

  • Core workflow execution engine
  • Step orchestration
  • State management

New Router Endpoints Required

1. Workflow Router (backend/rag_solution/router/workflow_router.py)

# Workflow CRUD
POST   /api/v1/workflows                          # Create new workflow
GET    /api/v1/workflows                          # List user workflows
GET    /api/v1/workflows/{workflow_id}            # Get workflow details
PUT    /api/v1/workflows/{workflow_id}            # Update workflow
DELETE /api/v1/workflows/{workflow_id}            # Delete workflow
POST   /api/v1/workflows/{workflow_id}/publish    # Publish workflow
POST   /api/v1/workflows/{workflow_id}/duplicate  # Duplicate workflow
GET    /api/v1/workflows/{workflow_id}/validate   # Validate workflow definition

2. Workflow Execution Router (backend/rag_solution/router/workflow_execution_router.py)

# Workflow execution
POST   /api/v1/workflows/{workflow_id}/execute    # Start workflow execution
GET    /api/v1/executions                         # List user executions
GET    /api/v1/executions/{execution_id}          # Get execution details
POST   /api/v1/executions/{execution_id}/cancel   # Cancel execution
POST   /api/v1/executions/{execution_id}/pause    # Pause execution
POST   /api/v1/executions/{execution_id}/resume   # Resume execution
GET    /api/v1/executions/{execution_id}/status   # Get execution status
GET    /api/v1/executions/{execution_id}/logs     # Get execution logs
GET    /api/v1/executions/{execution_id}/steps    # Get step details

3. Workflow Template Router (backend/rag_solution/router/workflow_template_router.py)

# Workflow templates
GET    /api/v1/templates                          # List templates
GET    /api/v1/templates/{template_id}            # Get template details
POST   /api/v1/templates/{template_id}/instantiate # Create workflow from template
POST   /api/v1/templates/{template_id}/rate       # Rate template
GET    /api/v1/templates/categories               # Get template categories
GET    /api/v1/templates/popular                  # Get popular templates

Frontend Changes Required

1. New React Components

Visual Workflow Designer (webui/src/components/WorkflowDesigner/)

  • WorkflowCanvas.jsx - Main drag-and-drop canvas
  • StepPalette.jsx - Available workflow steps
  • StepConfigPanel.jsx - Step configuration sidebar
  • ConnectionTool.jsx - Connect workflow steps
  • WorkflowToolbar.jsx - Save, validate, execute buttons
  • WorkflowMinimap.jsx - Canvas overview and navigation

Workflow Management (webui/src/components/WorkflowManagement/)

  • WorkflowList.jsx - List user workflows
  • WorkflowCard.jsx - Workflow preview card
  • WorkflowDetails.jsx - Workflow details view
  • WorkflowVersionHistory.jsx - Version management
  • WorkflowSharing.jsx - Share workflow as template

Execution Monitoring (webui/src/components/WorkflowExecution/)

  • ExecutionDashboard.jsx - Execution monitoring
  • ExecutionProgress.jsx - Progress visualization
  • ExecutionLogs.jsx - Real-time execution logs
  • StepStatus.jsx - Individual step status
  • ExecutionControls.jsx - Pause, resume, cancel controls

Template Marketplace (webui/src/components/WorkflowTemplates/)

  • TemplateMarketplace.jsx - Browse templates
  • TemplateCard.jsx - Template preview
  • TemplateDetails.jsx - Template details and preview
  • TemplateRating.jsx - Rate and review templates
  • TemplateCategoriesFilter.jsx - Filter by category

Enhanced Components

  • Update SearchInterface.jsx to include workflow options
  • Add workflow selection to search interface
  • Integrate workflow templates in onboarding

2. New Context Providers

  • WorkflowContext.jsx - Manage workflow state
  • WorkflowExecutionContext.jsx - Manage execution state
  • WorkflowDesignerContext.jsx - Manage designer state

3. New Libraries and Dependencies

{
  "react-flow-renderer": "^10.3.17",  // Visual workflow designer
  "dagre": "^0.8.5",                  // Graph layout algorithms
  "react-json-view": "^1.21.3",       // JSON viewer for configurations
  "react-virtualized": "^9.22.5",     // Virtualized lists for large workflows
  "react-hotkeys-hook": "^4.4.1"      // Keyboard shortcuts in designer
}

4. New API Integration

  • api/workflowService.js - Workflow CRUD operations
  • api/workflowExecutionService.js - Execution management
  • api/workflowTemplateService.js - Template operations
  • Add WebSocket support for real-time execution updates

Database Migration Scripts

Migration Script: migrations/add_workflow_engine_tables.sql

-- Create workflow engine tables
-- (Include all CREATE TABLE statements from above)

-- Create indexes for performance
CREATE INDEX idx_workflows_user_id ON workflows(user_id);
CREATE INDEX idx_workflows_status ON workflows(status);
CREATE INDEX idx_workflows_is_template ON workflows(is_template);
CREATE INDEX idx_workflow_executions_workflow_id ON workflow_executions(workflow_id);
CREATE INDEX idx_workflow_executions_user_id ON workflow_executions(user_id);
CREATE INDEX idx_workflow_executions_status ON workflow_executions(status);
CREATE INDEX idx_workflow_steps_execution_id ON workflow_steps(execution_id);
CREATE INDEX idx_workflow_steps_status ON workflow_steps(status);
CREATE INDEX idx_workflow_templates_category ON workflow_templates(category);
CREATE INDEX idx_workflow_templates_rating ON workflow_templates(rating DESC);
CREATE INDEX idx_workflow_variables_execution_id ON workflow_variables(execution_id);

-- Create workflow definition validation function
CREATE OR REPLACE FUNCTION validate_workflow_definition(definition JSONB) 
RETURNS BOOLEAN AS $$
BEGIN
    -- Basic validation: must have steps and connections
    IF NOT (definition ? 'steps' AND definition ? 'connections') THEN
        RETURN FALSE;
    END IF;
    
    -- Steps must be array
    IF jsonb_typeof(definition->'steps') != 'array' THEN
        RETURN FALSE;
    END IF;
    
    -- Connections must be array
    IF jsonb_typeof(definition->'connections') != 'array' THEN
        RETURN FALSE;
    END IF;
    
    RETURN TRUE;
END;
$$ LANGUAGE plpgsql;

-- Add validation constraint
ALTER TABLE workflows ADD CONSTRAINT valid_workflow_definition 
CHECK (validate_workflow_definition(workflow_definition));

Testing Strategy

Atomic Tests

Create backend/tests/atomic/test_workflow_models.py:

  • test_workflow_model_creation() - Test Workflow model instantiation
  • test_workflow_execution_model_creation() - Test WorkflowExecution model
  • test_workflow_step_model_creation() - Test WorkflowStep model
  • test_workflow_template_model_creation() - Test WorkflowTemplate model
  • test_workflow_variable_model_creation() - Test WorkflowVariable model
  • test_workflow_condition_model_creation() - Test WorkflowCondition model
  • test_workflow_schema_validation() - Test Pydantic schema validation
  • test_workflow_definition_validation() - Test workflow definition structure

Unit Tests

Workflow Service Tests (backend/tests/unit/test_workflow_service.py)

  • test_create_workflow_success() - Test workflow creation
  • test_create_workflow_invalid_definition() - Test invalid definition handling
  • test_get_workflow_by_id() - Test workflow retrieval
  • test_update_workflow_success() - Test workflow updates
  • test_delete_workflow_success() - Test workflow deletion
  • test_publish_workflow() - Test workflow publishing
  • test_validate_workflow_definition() - Test definition validation
  • test_get_user_workflows() - Test user workflow listing

Workflow Execution Service Tests (backend/tests/unit/test_workflow_execution_service.py)

  • test_start_execution_success() - Test execution start
  • test_execute_linear_workflow() - Test linear step execution
  • test_execute_conditional_workflow() - Test conditional branching
  • test_execute_parallel_workflow() - Test parallel step execution
  • test_execute_loop_workflow() - Test loop constructs
  • test_execution_error_handling() - Test error handling
  • test_execution_cancellation() - Test execution cancellation
  • test_execution_pause_resume() - Test pause/resume functionality

Workflow Engine Service Tests (backend/tests/unit/test_workflow_engine_service.py)

  • test_step_orchestration() - Test step coordination
  • test_state_management() - Test execution state management
  • test_variable_management() - Test variable handling
  • test_condition_evaluation() - Test conditional logic
  • test_parallel_processing() - Test parallel step execution
  • test_loop_processing() - Test loop execution

Workflow Template Service Tests (backend/tests/unit/test_workflow_template_service.py)

  • test_get_templates() - Test template listing
  • test_create_template_from_workflow() - Test template creation
  • test_instantiate_template() - Test template instantiation
  • test_rate_template() - Test template rating
  • test_get_popular_templates() - Test popular template retrieval

Integration Tests

Workflow Database Tests (backend/tests/integration/test_workflow_database.py)

  • test_workflow_crud_operations() - Test workflow CRUD through database
  • test_execution_persistence() - Test execution data persistence
  • test_step_state_tracking() - Test step state persistence
  • test_variable_persistence() - Test variable storage
  • test_workflow_versioning() - Test version management

End-to-End Workflow Tests (backend/tests/integration/test_workflow_e2e.py)

  • test_simple_linear_workflow() - Test basic workflow execution
  • test_conditional_branching_workflow() - Test conditional execution
  • test_parallel_processing_workflow() - Test parallel step execution
  • test_loop_workflow() - Test loop constructs
  • test_complex_nested_workflow() - Test complex workflow patterns
  • test_workflow_error_recovery() - Test error handling and recovery

Template Integration Tests (backend/tests/integration/test_workflow_templates.py)

  • test_template_marketplace_flow() - Test template marketplace
  • test_template_instantiation_flow() - Test template to workflow flow
  • test_template_rating_system() - Test rating and review system
  • test_template_categorization() - Test category management

E2E Tests

Frontend Workflow Tests (backend/tests/e2e/test_workflow_ui.py)

  • test_visual_workflow_designer() - Test drag-and-drop designer
  • test_workflow_creation_flow() - Test workflow creation through UI
  • test_workflow_execution_monitoring() - Test execution monitoring UI
  • test_template_marketplace_ui() - Test template browsing
  • test_workflow_sharing() - Test workflow sharing as template

API Integration Tests (backend/tests/e2e/test_workflow_api.py)

  • test_workflow_management_api() - Test all workflow management endpoints
  • test_execution_management_api() - Test all execution endpoints
  • test_template_api() - Test template endpoints
  • test_workflow_full_lifecycle() - Test complete workflow lifecycle

Performance Tests

Workflow Performance Tests (backend/tests/performance/test_workflow_performance.py)

  • test_large_workflow_execution() - Test workflows with many steps
  • test_concurrent_workflow_executions() - Test multiple concurrent executions
  • test_parallel_step_performance() - Test parallel processing performance
  • test_workflow_memory_usage() - Test memory consumption
  • test_execution_throughput() - Test execution throughput

Success Criteria & Milestones

Milestone 1: Core Infrastructure (Week 1-2)

Success Criteria:

  • All database tables created and migrated
  • All models implemented with proper relationships
  • All schemas defined with validation
  • Basic workflow service functional
  • Workflow definition validation working
  • Atomic tests passing (100% coverage)

Deliverables:

  • Database migration scripts
  • Model classes with relationships
  • Pydantic schemas with validation
  • Basic workflow service
  • Workflow definition validation
  • Atomic test suite

Milestone 2: Workflow Engine Core (Week 3-4)

Success Criteria:

  • Workflow execution engine implemented
  • Linear workflow execution working
  • State management functional
  • Variable management working
  • Unit tests passing (90%+ coverage)

Deliverables:

  • Workflow execution service
  • Workflow engine service
  • State management system
  • Variable management system
  • Unit test suite

Milestone 3: Advanced Features (Week 5-6)

Success Criteria:

  • Conditional logic implementation working
  • Parallel processing functional
  • Loop constructs implemented
  • Error handling and recovery working
  • Integration tests passing

Deliverables:

  • Conditional logic processor
  • Parallel processing coordinator
  • Loop execution engine
  • Error handling framework
  • Integration test suite

Milestone 4: Template System (Week 7-8)

Success Criteria:

  • Workflow template service implemented
  • Template marketplace functional
  • Template instantiation working
  • Rating and review system functional
  • Template integration tests passing

Deliverables:

  • Workflow template service
  • Template marketplace backend
  • Rating system
  • Template categorization
  • Template test suite

Milestone 5: API & Backend Complete (Week 9-10)

Success Criteria:

  • All REST API endpoints implemented
  • WebSocket support for real-time updates
  • API integration tests passing
  • Performance benchmarks met
  • Error handling comprehensive

Deliverables:

  • Complete REST API
  • WebSocket integration
  • API documentation
  • Performance optimization
  • Error handling framework

Milestone 6: Frontend Implementation (Week 11-14)

Success Criteria:

  • Visual workflow designer functional
  • Workflow management interface complete
  • Execution monitoring dashboard working
  • Template marketplace UI functional
  • E2E tests passing

Deliverables:

  • Visual workflow designer
  • Workflow management interface
  • Execution monitoring dashboard
  • Template marketplace UI
  • Complete frontend integration

Milestone 7: Production Readiness (Week 15-16)

Success Criteria:

  • Performance tests passing
  • Security review passed
  • Documentation complete
  • Load testing successful
  • User acceptance testing completed

Deliverables:

  • Performance test suite
  • Security audit results
  • Complete documentation
  • Load testing reports
  • Production deployment

Risk Assessment & Mitigation

High Risks

  1. Visual designer complexity

    • Mitigation: Use proven libraries (react-flow), start with basic features

  2. Workflow execution performance with complex graphs

    • Mitigation: Implement async processing, add execution optimization

  3. State management complexity across steps

    • Mitigation: Use proven state patterns, implement comprehensive persistence

Medium Risks

  1. Conditional logic evaluation complexity

    • Mitigation: Use expression evaluation libraries, implement sandboxing

  2. Parallel processing coordination

    • Mitigation: Use async/await patterns, implement proper synchronization

Low Risks

  1. Template marketplace scalability

    • Mitigation: Implement proper caching, pagination

  2. Frontend performance with large workflows

    • Mitigation: Implement virtualization, lazy loading

Dependencies

Internal Dependencies

  • Agent Orchestration Framework (EPIC-001)
  • Existing user authentication system
  • Current RAG pipeline services
  • Database infrastructure

External Dependencies

  • PostgreSQL for workflow data
  • WebSocket support for real-time updates
  • Message queue for step coordination
  • Frontend visualization libraries

Post-Epic Considerations

Future Enhancements

  1. Workflow analytics and optimization recommendations
  2. AI-powered workflow generation
  3. Workflow marketplace with sharing economy
  4. Advanced debugging and profiling tools
  5. Workflow version control and collaboration

Technical Debt

  1. Consider workflow execution scaling strategies
  2. Implement comprehensive monitoring and observability
  3. Add workflow performance analytics
  4. Consider microservice architecture for execution

Definition of Done

Epic-Level DoD

  • All user stories completed and accepted
  • All tests passing (atomic, unit, integration, E2E, performance)
  • Documentation complete and reviewed
  • Security review completed
  • Performance benchmarks met
  • Production deployment successful
  • User acceptance testing completed
  • Visual workflow designer fully functional

Story-Level DoD

  • Feature implemented according to specifications
  • Unit tests written and passing
  • Integration tests written and passing
  • Code reviewed and approved
  • Documentation updated
  • Database migrations tested
  • API endpoints tested
  • Frontend components tested
  • Visual designer components tested

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