March 2026: Delivered the Enhanced patient logs view and export functionality in ntu-pear/PEAR_WebFE, featuring new filtering options, log type categorization, and export capabilities. API parameters were renamed for clarity, and userFullName usage was introduced to improve traceability. The changes were implemented across four commits on the feature branch, driving improved data accessibility and export readiness.

January 2026: Strengthened observability and patient-data transparency in ntu-pear/PEAR_WebFE. Delivered a Patient-Focused Logging Enhancement by updating the logger API route to specifically target patient logs, and fixed a critical logger route issue to ensure accurate routing of log data. These changes improve traceability, debugging efficiency, and lay groundwork for patient-centric metrics and audit readiness across the frontend stack.

December 2025 monthly summary for ntu-pear/PEAR_patient_service focusing on strengthening test data management and test reliability for patient medication testing.

Month: 2025-10 - PEAR_patient_service monthly summary focusing on delivering business value through robust CI/CD improvements, stronger test coverage, and data integrity enhancements. The work enabled faster, safer deployments and improved data governance for patient records and messaging events. Key achievements: - CI and Test Infrastructure Improvements: Reworked CI/CD for RabbitMQ integration tests with self-hosted runners, test isolation, and environment management. This included updates to CI configuration and secrets handling to support test and prod environments, leading to more reliable test runs and faster feedback cycles. (Commits include updates to base CI for integration test, per-run env changes, test isolation and cleanup order improvements.) - Messaging and Outbox Tests for Patient and Medication: Added unit and integration tests to validate patient medication messaging and implemented the Outbox pattern to ensure atomic, reliable messaging for patient CRUD and medication events. - Soft Deleted Patient Records Retrieval: Added capability to retrieve soft-deleted patient records (get_patient_include_deleted) to improve data recovery and auditing scenarios. - Data integrity and error handling improvements: Fixed PrescriptionListId data association in patient medication to ensure accurate medication tracking, and added guards to raise meaningful HTTP errors when updating non-existent patient IDs. Impact and accomplishments: - Increased deployment confidence and reduced rollback risk through improved CI stability and test reliability. - Improved patient data integrity and observability through correct data associations and soft-delete access. - Strengthened system reliability for messaging workflows, reducing the potential for lost or duplicate events. Technologies/skills demonstrated: - GitHub Actions-based CI/CD, self-hosted runners, test isolation, environment management - RabbitMQ integration testing, unit and integration testing with pytest - Outbox pattern for atomic messaging, robust error handling in APIs - Data modeling corrections and defensive programming for non-existent records