Schema Dependency Graph Generator for Category Relationships

[KolaSailaja]

Problem Statement

As the Context registry grows, categories become increasingly interconnected through shared fields, inferred relationships, validation rules, and protocol dependencies.

Currently, developers must manually inspect schema definitions to understand these relationships, making it difficult to identify dependency chains, unused schemas, circular references, or opportunities for optimization.

Without a dependency visualization mechanism:

• Understanding large schema registries becomes difficult.
• Hidden dependencies may introduce unexpected side effects.
• Circular references are harder to detect.
• Documentation becomes outdated quickly.

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Proposed Solution

Introduce a Schema Dependency Graph Generator that automatically analyzes category definitions and generates a dependency graph representing relationships between schemas.

The graph should identify:

• Category-to-category dependencies
• Shared schema references
• Cross-category validations
• Nested object dependencies
• Imported schema definitions
• Referenced reusable components

Example:

Travel
   │
   ├────────► Location
   │
   ├────────► Calendar
   │
   └────────► Preferences

Fitness
   │
   └────────► Health

The generated graph should provide both human-readable and machine-readable outputs.

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Expected Features

The generator should support:

• Automatic dependency discovery
• Direct and indirect dependency analysis
• Circular dependency detection
• Orphan schema detection
• Shared component analysis
• Dependency depth calculation

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Output Formats

Support exporting the dependency graph as:

• JSON
• Mermaid Diagram
• Graphviz DOT
• Markdown documentation

These outputs can be integrated into documentation and developer tooling.

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Benefits

• Easier architecture understanding
• Improved maintainability
• Better documentation
• Faster onboarding for contributors
• Early detection of circular dependencies
• Simplified impact analysis before schema changes

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Possible Implementation

• Traverse all registered category schemas.
• Build a directed graph of schema relationships.
• Detect dependency cycles using graph traversal algorithms.
• Generate export utilities for multiple formats.
• Integrate with documentation generation workflows.

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Acceptance Criteria

• Analyze all registered categories.
• Detect direct and indirect dependencies.
• Detect circular references.
• Generate Mermaid and JSON outputs.
• Include unit tests for dependency detection.
• Document usage with example diagrams.

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Future Scope

• Interactive dependency explorer
• Dependency heatmaps
• Impact analysis before schema modifications
• IDE integration for schema navigation