ntu-pear/PEAR_patient_service
Feb 2025 – Feb 2025
1 Month active
Languages Used
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentCode CleanupDatabase Management
rayrex7
PROFILE
Rayrex7
During February 2025, Bohui worked on the ntu-pear/PEAR_patient_service repository, focusing on enhancing the Patient Allergy module to ensure accurate and deduplicated data management. Using Python and SQL, Bohui implemented validation for allergyType and reactionType combinations, preventing duplicate entries and ensuring the IsDeleted state was consistently respected across create, update, and retrieval operations. The work included correcting deletion workflows, refining response handling, and improving the visibility of status flags. Bohui also prioritized code hygiene by cleaning up comments and removing stray test code, resulting in a more maintainable backend API and improved database management for patient allergy records.
Overall Statistics
Feature vs Bugs
33%Features
Repository Contributions
8Total
Bugs
2
Commits
8
Features
1
Lines of code
99
Activity Months1
Your Network
11 peopleShared Repositories
11
Work History
February 2025
8 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ntu-pear/PEAR_patient_service focused on data integrity, bug fixes, and measurable business impact. Key improvements centered on the Patient Allergy module to ensure accurate, deduplicated data, reliable deletion semantics, and correct visibility of status flags across retrieval paths. Delivered with traceable commits enabling auditability and faster future maintenance.
8 Commits • 1 Features
Feb 1, 2025February 2025 monthly summary for ntu-pear/PEAR_patient_service focused on data integrity, bug fixes, and measurable business impact. Key improvements centered on the Patient Allergy module to ensure accurate, deduplicated data, reliable deletion semantics, and correct visibility of status flags across retrieval paths. Delivered with traceable commits enabling auditability and faster future maintenance.
February 2025
Activity
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Quality Metrics
Correctness83.8%
Maintainability87.6%
Architecture72.6%
Performance80.0%
AI Usage20.0%
Skills & Technologies
Programming Languages
PythonSQL
Technical Skills
API DevelopmentBackend DevelopmentCode CleanupDatabase Management
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