Module: Infrastructure/TypeGeneration

INTELLIGENCE OPERATIVE PERSPECTIVE

This module generates TypeScript type definitions from CIA JSON schemas, providing compile-time type safety for political data processing. While appearing as a technical infrastructure task, type safety serves a critical intelligence function: preventing data corruption bugs that could propagate incorrect information through the analytical pipeline.

TYPE SAFETY IN INTELLIGENCE SYSTEMS: Intelligence analysis depends on data accuracy. TypeScript type generation ensures:

1. Shape Validation: Data matches expected structure before processing
2. Property Typos: Catches misspelled field names at compile time
3. Type Mismatches: Prevents treating numbers as strings or vice versa
4. Null Handling: Explicit handling of optional vs. required fields
5. API Contract: Ensures MCP tool responses match expected types

CIA SCHEMA CONVERSION PROCESS: The generator converts JSON Schema → TypeScript types:

1. Load JSON schema from schemas/cia/ directory
2. Parse schema structure (properties, required fields, type constraints)
3. Generate TypeScript interface with all properties
4. Add JSDoc comments from schema descriptions
5. Handle nested objects and arrays recursively
6. Generate Union types for enum fields
7. Write to types/ directory

SUPPORTED SCHEMA CONVERSIONS:

• String Types: Converted to TypeScript string
• Number Types: integer and number mapped appropriately
• Boolean Types: Converted to TypeScript boolean
• Array Types: Generated as T[] arrays
• Nested Objects: Recursive interface generation
• Enum Types: Union type generation (type field = 'value1' | 'value2')
• Optional Fields: Generated as property?: type notation
• Date Fields: ISO 8601 strings typed as string (runtime validation needed)

GENERATED TYPE EXAMPLES: From CIA voting schema generates:

interface Vote {
  id: string;
  documentId: string;
  date: string; // ISO 8601
  topic: string;
  memberVotes: MemberVote[];
  totalYes: number;
  totalNo: number;
  totalAbstain: number;
  passed: boolean;
}

WORKFLOW:

1. Run during build process: npm run generate-types-from-cia-schemas
2. Scans schemas/cia/ for all .schema.json files
3. Generates corresponding TypeScript .d.ts files
4. Reports success/failure for each schema
5. Errors block build (type safety non-negotiable)

SCHEMA EVOLUTION HANDLING: When CIA platform adds/removes schema fields:

1. Developer manually updates schema files
2. Type generation runs and creates new .d.ts
3. TypeScript compiler finds references to removed fields
4. Developer updates code to new schema
5. Types are regenerated with updated definitions

TYPESCRIPT COMPILATION INTEGRATION: Generated types used in compilation:

• import type { Vote } from '../types/Vote'
• Compiler validates against generated interface
• Prevents data shape mismatches at runtime
• IDE autocomplete from generated types

OPTIONAL FEATURE: Type generation is optional - projects can use without types:

• Dynamic typing still works without generated types
• Benefits optional, not required
• Recommended for production systems
• Improves development velocity through IDE support

PERFORMANCE CONSIDERATIONS:

• Type generation: ~50ms per schema
• Compilation: Uses cached types if unchanged
• No runtime overhead (types erased during compilation)
• Improves IDE responsiveness through type information

FAILURE MODES:

• Invalid schema JSON: Detailed error identifying issue
• Unsupported schema features: Warning with fallback to any
• File write errors: Reports permission or disk issues
• Circular references: Detected and handled with type aliases

GDPR COMPLIANCE: Generated types include personal data fields:

• Member names and IDs
• Department affiliations
• Vote patterns
• Committee assignments Types help ensure proper data handling:
• Explicit marking of sensitive fields
• Runtime validation can check data classifications
• Type information supports audit requirements

INTELLIGENCE APPLICATIONS: Type safety supports intelligence workflows:

• Analysts rely on accurate data shape for reports
• Prevents data corruption in analytical pipelines
• Enables automated data quality checking
• Supports integration testing across data systems