NHSDigital/nbs-appointments-management-service
Oct 2024 – Dec 2024
3 Months active
Languages Used
C#GherkinJavaTerraformTextTypeScriptHTMLSQL
Technical Skills
.NET xUnitUnit TestingAPI DevelopmentAPI TestingAutomated Testing
jrowett
PROFILE
Jrowett
James Rowett contributed to the NHSDigital/nbs-appointments-management-service repository by engineering robust backend features and data tools over three months. He developed a CSV-to-JSON import utility for the Manage Your Appointments workflow, optimizing data integrity and accessibility through header validation, error reporting, and lazy reading in C#. He consolidated data models and improved test coverage using xUnit and BDD, ensuring consistency across modules. James also enhanced notification systems and scheduling logic, refactoring API endpoints and integrating Azure Functions for reliability. His work addressed both feature delivery and bug resolution, demonstrating depth in .NET development, automated testing, and cloud infrastructure management.
Overall Statistics
Feature vs Bugs
59%Features
Repository Contributions
33Total
Bugs
7
Commits
33
Features
10
Lines of code
4,743
Activity Months3
Your Network
8 people
Work History
December 2024
8 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for NHSDigital/nbs-appointments-management-service: Delivered end-to-end data handling improvements across the Manage Your Appointments (MYA) workflow, including a robust CSV-to-JSON import tool, core data model consolidation, and SiteMap accessibility enhancements. These changes improved data integrity, cross-module consistency, accessibility data quality, and performance, while reducing maintenance overhead.
8 Commits • 3 Features
Dec 1, 2024December 2024 monthly summary for NHSDigital/nbs-appointments-management-service: Delivered end-to-end data handling improvements across the Manage Your Appointments (MYA) workflow, including a robust CSV-to-JSON import tool, core data model consolidation, and SiteMap accessibility enhancements. These changes improved data integrity, cross-module consistency, accessibility data quality, and performance, while reducing maintenance overhead.
December 2024
November 2024
24 Commits • 7 Features
Nov 1, 2024November 2024 (2024-11) – NHSDigital/nbs-appointments-management-service: Delivered a robust provisional bookings workflow, enhanced cancellation notifications, and a redesigned notification orchestration, underpinned by expanded test coverage and stability fixes. The changes collectively accelerate booking flows, improve user communications, and elevate observability, while demonstrating strong API design, CI/test discipline, and dependency injection reliability.
November 2024
24 Commits • 7 Features
Nov 1, 2024November 2024 (2024-11) – NHSDigital/nbs-appointments-management-service: Delivered a robust provisional bookings workflow, enhanced cancellation notifications, and a redesigned notification orchestration, underpinned by expanded test coverage and stability fixes. The changes collectively accelerate booking flows, improve user communications, and elevate observability, while demonstrating strong API design, CI/test discipline, and dependency injection reliability.
October 2024
1 Commits
Oct 1, 2024October 2024 monthly summary for NHSDigital/nbs-appointments-management-service: Focused on correctness and test coverage in the scheduling component. Delivered a bug fix for provisional appointment expiry handling in availability calculation, along with a regression unit test to ensure expired provisional bookings no longer impact available slot capacity. This work improves capacity accuracy, scheduling reliability, and operational confidence in capacity planning.
1 Commits
Oct 1, 2024October 2024 monthly summary for NHSDigital/nbs-appointments-management-service: Focused on correctness and test coverage in the scheduling component. Delivered a bug fix for provisional appointment expiry handling in availability calculation, along with a regression unit test to ensure expired provisional bookings no longer impact available slot capacity. This work improves capacity accuracy, scheduling reliability, and operational confidence in capacity planning.
October 2024
Activity
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Quality Metrics
Correctness92.0%
Maintainability91.2%
Architecture88.8%
Performance85.4%
AI Usage20.0%
Skills & Technologies
Programming Languages
C#GherkinHTMLJavaSQLTerraformTextTypeScripttext
Technical Skills
.NET .NET Development xUnitAPI DevelopmentAPI TestingAutomated TestingAzure Cosmos DBAzure FunctionsBDDBackend DevelopmentBug FixCLI developmentCSV ParsingCSV ProcessingCSV parsing
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