Create CertificationExpiryJob Edge Function scaffold
epic-peer-mentor-pause-core-logic-task-008 — Scaffold the CertificationExpiryJob as a Supabase Edge Function (Deno/TypeScript). Set up the function entry point, environment variable access for Supabase service role key, and the pg_cron trigger configuration to invoke the function nightly at 02:00 UTC. Establish the logging pattern that outputs structured JSON logs for each job run including start time, mentor count queried, and completion status.
Acceptance Criteria
Technical Requirements
Execution Context
Tier 2 - 518 tasks
Can start after Tier 1 completes
Implementation Notes
Use the @supabase/supabase-js npm import compatible with Deno (esm.sh or deno.land/x). Generate a unique job_id (crypto.randomUUID()) at function entry and thread it through all log lines for correlation. Use a try/catch at the top level of serve() to ensure the job_error log is always emitted on unhandled exceptions. Define a JobLogger class or plain functions (logStart, logComplete, logError) to enforce consistent log shape — prevents ad-hoc console.log calls diverging from the schema.
For pg_cron configuration, use the cron.schedule() function in a migration file rather than the pg_cron.job table directly to ensure reproducibility. The placeholder stubs should call a noop function and return { mentors_queried: 0, mentors_paused: 0 } so the scaffold is end-to-end testable before task-009 is complete.
Testing Requirements
Manual smoke test: deploy function to Supabase staging environment, invoke via curl, verify HTTP 200 response and structured JSON log output in Supabase Edge Function logs dashboard. Verify pg_cron job appears in cron.job table after migration. Verify that calling the function without the service role key env var returns HTTP 500 with a clear missing-config error. Write a Deno unit test (using Deno.test) for the config validation and log formatting logic.
The status state machine must handle race conditions where two concurrent callers (e.g., a mentor self-pausing and a coordinator force-pausing simultaneously) attempt to update the same mentor's status. Without a concurrency guard, both writes could succeed, leaving the audit log in an inconsistent state.
Mitigation & Contingency
Mitigation: Use a Supabase RPC with a row-level lock (SELECT FOR UPDATE) inside a transaction so only one transition wins. Return a clear error to the losing caller. Test with concurrent requests in the integration test suite.
Contingency: If row-level locking proves unreliable in the Supabase environment, add an optimistic-locking version field to peer_mentors and have the service retry up to three times on version conflict before surfacing an error to the caller.
If the CertificationExpiryJob Edge Function fails silently (network timeout, Supabase cold start), HLF mentors with expired certifications could remain in active status and continue appearing on the chapter website, creating a compliance breach.
Mitigation & Contingency
Mitigation: Implement structured error logging inside the Edge Function, write a monitoring query that checks for mentors with expired certifications still in active status, and set up an alert if any are detected 30 minutes after the scheduled nightly run.
Contingency: Provide a coordinator-accessible manual trigger for the expiry check that can be invoked via the admin interface if the scheduled job is known to have failed. Document the manual recovery procedure for HLF coordinators.
pg_cron registration in Supabase requires superuser-level access that may not be available in all environments (local dev, staging, CI). If the cron job cannot be registered automatically, the Edge Function will never execute on schedule, breaking the HLF certification expiry workflow.
Mitigation & Contingency
Mitigation: Use Supabase's recommended pg_cron setup via the SQL editor migration script and document the exact commands. Validate cron registration in the staging environment as part of the epic's deployment checklist.
Contingency: If pg_cron is unavailable, switch to a Supabase scheduled Edge Function invocation via an external cron service (e.g., a GitHub Actions scheduled workflow calling the Edge Function endpoint with a service-role key) until the pg_cron approach is resolved.