Convert inconsistent modeling style to standardized Pydantic models for all external-facing data structures while maintaining TypedDict compatibility where appropriate for internal layer-private structures. Changes: - Converted IpLookupResult TypedDict to use IpLookupResponse Pydantic model in jail_service.lookup_ip() for consistency with routers - Added GeoCacheEntry Pydantic model for geo cache repository rows - Converted GeoCacheRow TypedDict to use GeoCacheEntry alias - Converted ImportLogRow TypedDict to use ImportLogEntry alias - Updated routers and services to work with Pydantic models - Updated all tests to use Pydantic model field access (attributes) instead of dict subscripting Documentation: - Added 'Model Type Usage by Layer' section to Backend-Development.md - Defines when TypedDict is allowed (internal structures) vs Pydantic (external-facing, cross-boundary data) - Provides clear guidance on modeling conventions per layer Benefits: - Consistent validation and serialization behavior - Better IDE support and type checking - Clearer separation of concerns by layer - Reduced maintenance cost from mixed validation approaches Co-authored-by: Copilot <223556219+Copilot@users.noreply.github.com>
46 KiB
46 KiB