Implement ReminderEvaluationService core logic
epic-assignment-follow-up-reminders-services-task-002 — Implement the concrete ReminderEvaluationService Dart class with injectable dependencies on AssignmentContactTrackingRepository and ReminderConfigRepository. Compute days since last contact for an assignment, compare against org-configured remind and escalate thresholds, handle the no-contact-ever edge case (treat as maximum days elapsed), and return the appropriate typed ReminderEvaluationResult variant.
Acceptance Criteria
Technical Requirements
Execution Context
Tier 1 - 540 tasks
Can start after Tier 0 completes
Implementation Notes
Inject a `clockFn` (`DateTime Function() clock = DateTime.now`) parameter to make date arithmetic fully testable without real-time dependencies. Compute `daysSinceContact = clock().toUtc().difference(lastContactDate.toUtc()).inDays`. Use `int.maxFinite.toInt()` as the sentinel for no-contact-ever rather than a magic number. Register via Riverpod `Provider` (or `riverpod_annotation`) in the reminders feature module.
The thresholds are passed in from the caller (not fetched inside the service) to keep this service stateless and composable. Document the precondition that `escalateAfterDays >= remindAfterDays`; add a debug-mode `assert` inside the method.
Testing Requirements
Unit tests (flutter_test) covering all five threshold scenarios: below-remind, at-remind-boundary, between-remind-and-escalate, at-escalate-boundary, and no-contact-ever. Mock `AssignmentContactTrackingRepository` using Mockito or manual fakes — do not hit real Supabase. Verify UTC date arithmetic with a fixed clock (inject `DateTime Function()` as a clock dependency). Verify that repository exceptions propagate correctly.
Aim for 100% branch coverage on the evaluation logic.
The idempotency window (how long after a reminder is sent before another can be sent for the same assignment) is not explicitly specified. An incorrect window — too short, duplicate reminders appear; too long, a resolved and re-opened situation is not re-notified. This ambiguity could result in user-visible bugs post-launch.
Mitigation & Contingency
Mitigation: Before implementation, define the idempotency window explicitly with stakeholders: a reminder is suppressed if a same-type notification record exists with sent_at within the last (reminder_days - 1) days. Document this rule as a named constant in the service with a comment referencing the decision.
Contingency: If the window is wrong in production, it is a single constant change with a hotfix deployment. The notification_log table allows re-processing without data migration.
For organisations with thousands of open assignments (e.g., NHF with 1,400 chapters), the daily scheduler query over all open assignments could time out or consume excessive Supabase compute units, especially if the contact tracking query lacks proper indexing.
Mitigation & Contingency
Mitigation: Add a composite index on assignments(status, last_contact_date) before running performance tests. Use cursor-based pagination in the scheduler (query 500 rows at a time). Run a load test with 10,000 synthetic assignments as described in the feature documentation before merging.
Contingency: If the query is too slow for synchronous execution, move the evaluation to the Edge Function (cron trigger epic) and use Supabase's built-in parallelism. The service interface does not change, only the execution context.
If the push notification service fails (FCM outage, invalid device token) during dispatch, the in-app notification may already be persisted but the push is silently lost. Inconsistent state makes it impossible to report accurate delivery status.
Mitigation & Contingency
Mitigation: Implement push dispatch and in-app persistence as separate operations with independent error handling. Record delivery_status as 'pending', 'delivered', or 'failed' on the notification_log row. Retry failed push deliveries up to 3 times with exponential backoff.
Contingency: If FCM is consistently unavailable, the in-app notification is still visible to the user, providing a degraded but functional fallback. Alert on consecutive push failures via the cron trigger's error logging.