Address critical data visibility issues for Event Files and enhance frontend documentation.
This commit resolves the persistent problem where top-level hosted file convenience fields
(e.g., , , ) were
returning as in V3 Event File API responses, even when .
Key changes include:
- Refactored Pydantic model:
- Removed redundant definitions from top-level hosted file convenience fields,
allowing direct mapping from SQL view columns.
- Simplified to focus solely on conditionally loading the nested
object, as top-level fields are now populated directly by Pydantic
from the view.
- Added comprehensive comments to clarify data flow, Pydantic's behavior, and the
expected origin of these convenience fields from SQL views.
- Updated :
- Introduced a new section detailing how to retrieve Event File data, including the
use of to get both top-level convenience fields and a nested
object.
- Clarified all ID references as random string IDs.
- Renumbered the troubleshooting section.
- Copied updated guide to .
- Continued ID Vision compliance audit, ensuring consistent handling of random string IDs
across various core and event models (Account, Address, Contact, DataStore, Event Badge Template).
- Consolidated ID Vision E2E tests and updated related documentation.
- Minor updates to and
to support Event File data retrieval with .
- Added validators to Person_Base, Journal_Base, Journal_Entry_Base, Address_Base, and Contact_Base to handle null values and unsafe lookups.
- Implemented 'fields_to_exclude_from_db' ClassVar in Journal models to prevent view-only fields from causing DB errors.
- Updated Contact object map to align with DB schema.
- Added comprehensive test suite in 'tests/' directory (model validation, filtering logic).
- Updated GEMINI.md with progress.
