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
Worked on the ntu-pear/PEAR_patient_service repository to enhance the Patient Allergy module, focusing on data integrity and reliability. Addressed issues with duplicate allergy entries by validating allergyType and reactionType combinations and ensuring proper handling of the IsDeleted state during create and update operations. Improved the deletion workflow to provide accurate response bodies and streamlined database interactions by removing unnecessary merge logic. Refined data retrieval to correctly reflect deletion statuses and eliminated misleading default messages. Emphasized code hygiene by cleaning up comments and test code, leveraging Python and SQL for backend development, API design, and database management throughout the process.
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
Repositories Contributed To
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