Implement orphan detection in HierarchyStructureValidator
epic-organizational-hierarchy-management-core-services-task-008 — Add orphan-detection validation to HierarchyStructureValidator: before a unit is deleted, check whether removing it would leave child units without a valid parent. If orphans would result, return an OrphanDetectedError listing the affected child IDs, forcing the caller to reassign or cascade-delete explicitly.
Acceptance Criteria
Technical Requirements
Execution Context
Tier 2 - 518 tasks
Can start after Tier 1 completes
Implementation Notes
Keep the method signature simple: validateDeletion takes only the unitId and a Map
For the Flutter UI, the DeleteUnitDialog should use a BottomSheet or AlertDialog presenting two clear action buttons: 'Reassign [N] child units' and 'Delete entire subtree ([M] total units)'. The cascade-delete path should call getDescendantSubtree (task-005) to compute the total count M for the confirmation message. Never silently cascade — always require explicit user confirmation per WCAG 2.2 AA cognitive accessibility requirements relevant to the target user base (NHF users include people with cognitive challenges).
Testing Requirements
Unit tests (flutter_test): leaf node returns ValidationSuccess; single-child node returns ValidationFailure with exactly one child ID; multi-child node returns ValidationFailure with all child IDs listed; root node with children returns ValidationFailure; empty childrenMap (no children entry for unitId) returns ValidationSuccess; null/missing unitId in map treated as leaf. Widget test: DeleteUnitDialog receives OrphanDetectedError and renders both 'Reassign children' and 'Cascade delete' options. Integration test: HierarchyService.deleteUnit() calls validateDeletion before Supabase delete; assert Supabase delete is NOT called when ValidationFailure is returned.
Injecting all unit assignment IDs into JWT claims for users assigned to many units (up to 5 for NHF peer mentors, many more for national coordinators) may exceed JWT size limits, causing authentication failures.
Mitigation & Contingency
Mitigation: Store unit IDs in a Supabase session variable or a dedicated Postgres function rather than embedding them directly in the JWT payload. Use set_config('app.unit_ids', ...) within RLS helper functions querying the assignments table at policy evaluation time.
Contingency: Fall back to querying the unit_assignments table directly within RLS policies using the authenticated user ID, accepting a small per-query overhead in exchange for removing the JWT size constraint.
Rendering 1,400+ nodes in a recursive Flutter tree widget may cause jank or memory pressure on lower-end devices used by field peer mentors, degrading the admin experience.
Mitigation & Contingency
Mitigation: Implement lazy tree expansion — only the root level is rendered on initial load. Child nodes are rendered on demand when the parent is expanded. Use const constructors and ListView.builder for all node lists to minimize rebuild scope.
Contingency: Add a search/filter bar that scopes the visible tree to matching nodes, reducing the visible node count. Provide a 'flat list' fallback view for administrators who prefer searching over browsing the tree.
Requirements for what constitutes a valid hierarchy structure may expand during NHF sign-off (e.g., mandatory coordinator assignments per chapter, minimum member counts per region), requiring repeated validator redesign.
Mitigation & Contingency
Mitigation: Design the validator as a pluggable rule engine where each check is a discrete, independently testable function. New rules can be added without changing the core validation orchestration. Surface all rules in a configuration table per organization.
Contingency: Defer non-blocking validation rules to warning-level feedback rather than hard blocks, allowing structural changes to proceed while flagging potential issues for admin review.
Deploying RLS policy migrations to a shared Supabase project used by multiple organizations simultaneously could lock tables or interrupt active sessions, causing downtime during production migration.
Mitigation & Contingency
Mitigation: Write all RLS policies as CREATE POLICY IF NOT EXISTS statements. Schedule migrations during off-peak hours. Use Supabase's migration preview environment to validate policies against production data shapes before applying.
Contingency: Prepare rollback migration scripts for every RLS policy. If a migration causes issues, execute the rollback immediately and re-test the policy logic in staging before reattempting.