Table of Contents
- Phase 2: Structure Steps - Modular Implementation
Phase 2: Structure Steps - Modular Implementation
Overview
Phase 2 implements the three structure steps of the 12-step prompt chaining process for calendar generation. The implementation has been reorganized into modular components for better maintainability and code organization.
File Structure
phase2/
├── __init__.py # Exports all Phase 2 steps
├── phase2_steps.py # Main module that imports and exports all steps
├── step4_implementation.py # Step 4: Calendar Framework and Timeline
├── step5_implementation.py # Step 5: Content Pillar Distribution
├── step6_implementation.py # Step 6: Platform-Specific Strategy
└── README.md # This documentation file
Step Implementations
Step 4: Calendar Framework and Timeline
File: step4_implementation.py
Class: CalendarFrameworkStep
Purpose: Analyzes and optimizes calendar structure, timeline configuration, duration control, and strategic alignment.
Key Features:
- Calendar structure analysis with industry intelligence
- Timeline optimization with business size adjustments
- Duration control validation
- Strategic alignment verification
- Enhanced quality scoring with weighted components
Data Sources:
- Calendar Configuration Data
- Timeline Optimization Algorithms
- Strategic Alignment Metrics
Step 5: Content Pillar Distribution
File: step5_implementation.py
Class: ContentPillarDistributionStep
Purpose: Maps content pillars across timeline, develops themes, validates strategic alignment, and ensures content diversity.
Key Features:
- Content pillar mapping across timeline
- Theme development and variety analysis
- Strategic alignment validation
- Content mix diversity assurance
- Pillar distribution balance calculation
Data Sources:
- Content Pillar Definitions
- Theme Development Algorithms
- Diversity Analysis Metrics
Step 6: Platform-Specific Strategy
File: step6_implementation.py
Class: PlatformSpecificStrategyStep
Purpose: Optimizes platform strategies, analyzes content adaptation quality, coordinates cross-platform publishing, and validates uniqueness.
Key Features:
- Platform strategy optimization
- Content adaptation quality indicators
- Cross-platform coordination analysis
- Platform-specific uniqueness validation
- Multi-platform performance metrics
Data Sources:
- Platform Performance Data
- Content Adaptation Algorithms
- Cross-Platform Coordination Metrics
Quality Gates
Each step implements comprehensive quality gates:
Step 4 Quality Gates
- Calendar structure completeness validation
- Timeline optimization effectiveness
- Duration control accuracy
- Strategic alignment verification
Step 5 Quality Gates
- Pillar distribution balance validation
- Theme variety and uniqueness scoring
- Strategic alignment verification
- Content mix diversity assurance
Step 6 Quality Gates
- Platform strategy optimization effectiveness
- Content adaptation quality scoring
- Cross-platform coordination validation
- Platform-specific uniqueness assurance
Integration Points
Orchestrator Integration
All steps are integrated into the main orchestrator:
from .steps.phase2.phase2_steps import (
CalendarFrameworkStep,
ContentPillarDistributionStep,
PlatformSpecificStrategyStep
)
Service Integration
Steps are executed in the calendar generator service:
_execute_step_4()- Calendar Framework and Timeline_execute_step_5()- Content Pillar Distribution_execute_step_6()- Platform-Specific Strategy
Data Flow
- Step 4 → Provides calendar structure and timeline configuration
- Step 5 → Uses Step 4 results, provides pillar mapping and themes
- Step 6 → Uses Steps 4 & 5 results, provides platform strategies
Benefits of Modular Structure
Maintainability
- Each step is isolated in its own module
- Easier to locate and modify specific functionality
- Reduced file size and complexity
Scalability
- Easy to add new steps or modify existing ones
- Clear separation of concerns
- Modular testing capabilities
Code Organization
- Logical grouping of related functionality
- Clear import/export structure
- Better documentation and understanding
Usage
Importing Steps
# Import individual steps
from .step4_implementation import CalendarFrameworkStep
from .step5_implementation import ContentPillarDistributionStep
from .step6_implementation import PlatformSpecificStrategyStep
# Or import all from main module
from .phase2_steps import (
CalendarFrameworkStep,
ContentPillarDistributionStep,
PlatformSpecificStrategyStep
)
Executing Steps
# Create step instances
step4 = CalendarFrameworkStep()
step5 = ContentPillarDistributionStep()
step6 = PlatformSpecificStrategyStep()
# Execute with context
context = {
"user_id": 1,
"strategy_id": 1,
"calendar_type": "monthly",
"industry": "technology",
"business_size": "sme"
}
result4 = await step4.execute(context)
result5 = await step5.execute(context)
result6 = await step6.execute(context)
Testing
Each step module can be tested independently:
# Test Step 4
python -m pytest tests/test_step4_implementation.py
# Test Step 5
python -m pytest tests/test_step5_implementation.py
# Test Step 6
python -m pytest tests/test_step6_implementation.py
Future Enhancements
Planned Improvements
- Full Implementation: Complete all placeholder methods with real logic
- AI Integration: Enhance AI service integration with real analysis
- Quality Scoring: Improve quality scoring algorithms
- Error Handling: Add comprehensive error recovery mechanisms
- Performance Optimization: Optimize execution performance
Extensibility
- Easy to add new helper modules for specific functionality
- Modular structure supports step-specific optimizations
- Clear interfaces for adding new data sources
Status
- Step 4: ✅ Basic structure complete, placeholder methods ready for implementation
- Step 5: ✅ Basic structure complete, placeholder methods ready for implementation
- Step 6: ✅ Basic structure complete, placeholder methods ready for implementation
- Integration: ✅ All steps integrated into orchestrator and service
- Documentation: ✅ Complete documentation and usage examples
Phase 2 Progress: 100% Structure Complete (3/3 steps)
