Dependency Management
Knowledge capsules form complex dependency networks that require sophisticated management. This document covers dependency resolution algorithms, circular dependency prevention, and advanced dependency management patterns for maintaining knowledge graph integrity.
Dependency Types and Modeling
Dependency Classification
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Version Comparison System
Implement semantic version comparison:
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Circular Dependency Prevention
Dependency Graph Analysis
Implement sophisticated cycle detection:
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Automated Cycle Resolution
Implement intelligent cycle breaking:
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Advanced Dependency Resolution
Multi-Version Dependency Resolution
Handle complex version conflicts:
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Dependency Health Monitoring
Real-time dependency health tracking:
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Storage Optimization
Efficient dependency graph storage and querying:
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This advanced dependency management system provides:
- Sophisticated dependency modeling with multiple types and strengths
- Automated circular dependency detection and resolution
- Multi-version conflict resolution using semantic versioning
- Real-time health monitoring with actionable recommendations
- Performance optimization through materialized views and caching
- Intelligent cycle-breaking strategies including ML-powered resolution
The system ensures knowledge graph integrity while providing flexibility for complex dependency scenarios.