Removal Strategy
Knowledge Capsule Removal Strategy
Removing Knowledge Capsules presents one of the most complex challenges in the system due to intricate dependency relationships, data interconnections, and the need to maintain system integrity. This document outlines comprehensive strategies for safe capsule removal.
The Removal Challenge
Core Problems
- Dependency Entanglement: Capsules may depend on each other in complex ways
- Orphaned References: Removal may leave dangling references in other capsules
- Data Consistency: Shared data structures may become inconsistent
- Cascade Effects: Removing one capsule may require removing others
- Runtime Safety: Active processes may be using the capsule
- Rollback Complexity: Undoing a removal may be impossible without full system restoration
graph TB A[HR Capsule] --> B[Employee DB] C[Payroll Capsule] --> B C --> D[Tax Compliance] E[LHDN Invoice] --> D E --> F[Financial Reports] G[Analytics] --> F G --> B style B fill:#ff9999 style D fill:#ff9999 subgraph "Removal Impact" H[Direct Dependencies] I[Transitive Dependencies] J[Data Dependencies] K[Runtime Dependencies] end
Dependency Graph Tracking
Comprehensive Dependency Model
The system maintains a multi-layered dependency graph to understand all relationships:
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Dynamic Dependency Discovery
The system continuously discovers dependencies through runtime analysis:
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Orphaned Reference Detection
Reference Tracking System
The system maintains comprehensive reference tracking to detect and handle orphaned references:
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Soft Delete vs Hard Delete
Soft Delete Implementation
Soft delete provides safety by marking capsules as removed without actually deleting data:
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Hard Delete Implementation
Hard delete permanently removes all traces of a capsule:
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Knowledge Deprecation Strategies
Gradual Deprecation Process
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Gradual Phase-Out Mechanisms
Progressive Functionality Reduction
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Impact Analysis Before Removal
Comprehensive Impact Assessment
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Event Sourcing for Reversibility
Complete Audit Trail
The removal strategy leverages event sourcing to maintain a complete audit trail and enable reversibility:
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This comprehensive removal strategy ensures that Knowledge Capsules can be safely removed while maintaining system integrity, providing multiple safety mechanisms, and enabling recovery when necessary. The combination of dependency analysis, impact assessment, gradual phase-out, and event sourcing creates a robust framework for managing the complex challenge of capsule removal.