Dart model: BulkParticipant
epic-proxy-activity-registration-foundation-task-005 — Implement the `BulkParticipant` Dart class representing a single peer mentor selected for bulk registration. Fields: peerId, displayName, selected (bool), conflictStatus (none | warning | duplicate). Include `fromJson`/`toJson`, `copyWith`, and Equatable. Cover edge cases in unit tests (null safety, enum parsing).
Acceptance Criteria
Technical Requirements
Implementation Notes
Define ConflictStatus as an enum in the same file or in a separate enums file under the proxy_activity feature. Use a static extension or a switch expression for safe fromJson parsing: `ConflictStatus.values.firstWhere((e) => e.name == value, orElse: () => ConflictStatus.none)`. This is safer than direct index access. The selected field will be mutated frequently in UI state (checkbox toggling), so Riverpod or BLoC state will hold List
Do not add mutable state to the model itself.
Testing Requirements
Write flutter_test unit tests in test/features/proxy_activity/models/bulk_participant_test.dart. Cover: (1) full round-trip for each of the three ConflictStatus values, (2) unknown status string falls back to none, (3) default values for selected and conflictStatus, (4) copyWith(selected: false) only changes selected, (5) copyWith(conflictStatus: ConflictStatus.warning) only changes status, (6) Equatable equality and inequality. Minimum 6 test cases.
The activities table migration adding registered_by and attributed_to columns may conflict with existing RLS policies or FK constraints if the user profile table structure differs from assumptions, blocking all subsequent epics.
Mitigation & Contingency
Mitigation: Review existing activities table schema and RLS policies before writing the migration. Run the migration against a staging database clone first. Write rollback scripts alongside the migration.
Contingency: If migration fails in staging, isolate the conflict with a targeted schema audit, adjust FK references or RLS policy scope, and re-run before touching production.
The RLS policy must filter proxy inserts to the coordinator's chapter scope. If the chapter-scope resolver pattern differs between organisations (multi-chapter coordinators in NHF vs single-chapter in HLF), the policy may be too broad or too restrictive.
Mitigation & Contingency
Mitigation: Design the RLS policy to accept a coordinator's full set of assigned chapter IDs (array) rather than a single chapter_id. Validate the policy against NHF multi-chapter test fixtures during the integration test phase.
Contingency: If the policy is found to be incorrect after deployment, introduce a server-side validation edge function as a safety net while the RLS policy is corrected.
The bulk_register_activities RPC function may time out or cause lock contention when inserting large participant batches (e.g. 40+ peer mentors in a single group session), degrading the user experience.
Mitigation & Contingency
Mitigation: Benchmark the RPC function with 50-participant batches during development. Use unnest-based bulk insert rather than row-by-row PL/pgSQL loops. Set a reasonable statement_timeout.
Contingency: If performance is insufficient, split the client-side submission into chunks of 20 participants with progress feedback, rather than a single RPC call.