Implement HierarchyTreeView recursive widget skeleton
epic-organizational-hierarchy-management-core-services-task-016 — Build the base Flutter HierarchyTreeView widget that accepts a list of HierarchyNode objects and renders them as a recursive collapsible tree. Each node is a stateful widget that renders its children indented. The widget must consume the hierarchy cache via Riverpod and rebuild reactively on HierarchyChangedEvent.
Acceptance Criteria
Technical Requirements
Execution Context
Tier 5 - 253 tasks
Can start after Tier 4 completes
Implementation Notes
Model HierarchyNode as an immutable Dart class with id, parentId, label, unitType, memberCount, and children List
Avoid using TreeView packages that add unvetted dependencies; Flutter's built-in approach with a recursive Column/ListView is sufficient and more controllable for accessibility. Ensure the widget file structure separates HierarchyTreeView and HierarchyNodeTile into their own files under `lib/features/hierarchy/widgets/`.
Testing Requirements
Unit tests (flutter_test): verify HierarchyNodeTile renders correct label for a given HierarchyNode; verify recursive child rendering for a 3-level tree fixture; verify empty list produces EmptyState widget. Widget tests: mount HierarchyTreeView with a ProviderScope override for hierarchyCacheProvider; assert tree renders correct node count; emit a HierarchyChangedEvent and assert widget rebuilds with updated data. Performance test: render a 200-node flat tree and assert no overflow errors. No integration tests at this layer — those are covered in task-020.
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.