Wire Riverpod providers for all three components
epic-bufdir-reporting-export-core-logic-task-010 — Create Riverpod providers for BufdirColumnMapper, BufdirExportAuditService, and BufdirExportOrchestratorService. Inject repository and sub-service dependencies via provider refs. Expose a single bufdirExportOrchestratorProvider that the UI trigger screen can watch, ensuring the full dependency graph is resolved at app startup.
Acceptance Criteria
Technical Requirements
Execution Context
Tier 4 - 323 tasks
Can start after Tier 3 completes
Implementation Notes
Follow the project's existing Riverpod conventions — check whether the codebase uses code-generation (@riverpod annotation) or manual provider definitions and match that style. Define BufdirExportOrchestratorNotifier as an AsyncNotifier
Keep providers in a dedicated feature folder (lib/features/bufdir_export/providers/) consistent with the project's feature-first folder structure. Document each provider with a one-line dartdoc comment explaining its responsibility.
Testing Requirements
Unit tests (flutter_test with ProviderContainer): verify that bufdirExportOrchestratorProvider resolves without throwing when all dependencies are overridden with fakes. Test that calling startExport transitions the provider through AsyncLoading → AsyncData(ExportSuccess) for a happy-path mock. Test that a mock failure transitions to AsyncError with the correct ExportFailure. Use ProviderContainer with overrides to inject mock implementations — no real Supabase connection needed.
Test that the provider does not reset its state between multiple startExport calls (i.e., second call replaces first result correctly).
Bufdir's column schema may have per-field business rules (conditional required fields, cross-field validation, organisation-specific category taxonomies) that cannot be expressed in a simple key-value mapping configuration. If the configuration model is too simple, supporting NHF's specific requirements will require hardcoded organisation logic, undermining the configuration-driven design.
Mitigation & Contingency
Mitigation: Design the column configuration schema as a full JSON document supporting field-level transformation rules, conditional expressions, and org-specific value enumerations. Validate the design against a real NHF Bufdir Excel template before implementation begins.
Contingency: If the configuration model cannot express all required rules, implement a thin transformation plugin interface where org-specific logic can be added as a named Dart class registered against the organisation ID, with the JSON config covering only the common cases.
For large organisations like NHF with potentially tens of thousands of activity records, the full export pipeline (query + map + generate + bundle + upload) may exceed Supabase Edge Function execution time limits (typically 150s), causing silent timeouts that leave audit records in a pending state indefinitely.
Mitigation & Contingency
Mitigation: Implement the orchestrator as a background Dart isolate with progress streaming rather than a synchronous Edge Function call. Use chunked processing for the query and mapping phases to reduce peak memory usage. Profile against realistic NHF data volumes in a staging environment.
Contingency: If processing time cannot be reduced below the timeout threshold, implement an asynchronous job model where the export is queued, processed in the background, and the user is notified via push notification when the download is ready — treating it as an eventual rather than synchronous operation.