NHSDigital/dtos-manage-breast-screening
Jul 2025 – Oct 2025
4 Months active
Languages Used
PythonSQLJSONMarkdownenvDockerfileShell
Technical Skills
Backend DevelopmentDatabase DesignDjangoIDE ConfigurationTestingTesting Frameworks
Harriet H-W
PROFILE
Harriet H-w
Harriet Horobin-Worley contributed to the NHSDigital/dtos-manage-breast-screening repository, delivering robust backend features and reliability improvements over four months. She engineered appointment notification and handling systems with idempotent updates, timestamping, and event-driven synchronization, using Python and Django to ensure data integrity and scalable batch processing. Integrating NHS Notify and NHS Mail, she enabled automated, personalized communications and report delivery, while enhancing observability through Application Insights and Azure Monitor OpenTelemetry. Her work included database optimization, error handling, and configuration management, resulting in more reliable deployments and maintainable code. The depth of her contributions addressed both operational efficiency and developer experience.
Overall Statistics
Feature vs Bugs
71%Features
Repository Contributions
58Total
Bugs
10
Commits
58
Features
25
Lines of code
3,632
Activity Months4
Your Network
185 people
Work History
October 2025
15 Commits • 3 Features
Oct 1, 2025October 2025: Delivered key observability, telemetry, and reliability improvements for NHSDigital/dtos-manage-breast-screening, driving faster issue detection, more reliable reporting, and smoother deployments. The work focused on unifying logging, enabling end-to-end telemetry, enhancing notification delivery, and stabilizing the build pipeline.
15 Commits • 3 Features
Oct 1, 2025October 2025: Delivered key observability, telemetry, and reliability improvements for NHSDigital/dtos-manage-breast-screening, driving faster issue detection, more reliable reporting, and smoother deployments. The work focused on unifying logging, enabling end-to-end telemetry, enhancing notification delivery, and stabilizing the build pipeline.
October 2025
September 2025
8 Commits • 3 Features
Sep 1, 2025September 2025 summary for NHSDigital/dtos-manage-breast-screening: Delivered three primary capabilities that enhance patient outreach and report delivery, with substantial improvements in observability and configuration. Implemented NHS Notify integration with improved error handling and logging, including storage of API error details, timestamped send failures, and removal of legacy CMAPI usage. Expanded test coverage to ensure message batches are sent correctly across all episode types. Rolled out clinic-based appointment invites personalization by introducing clinic location data (description and URL) for the private beta. Added NHS Mail SMTP integration to enable email delivery of generated reports, with configuration driven by environment variables. These changes collectively improve reliability, reduce manual follow-ups, and enable scalable communications.
September 2025
8 Commits • 3 Features
Sep 1, 2025September 2025 summary for NHSDigital/dtos-manage-breast-screening: Delivered three primary capabilities that enhance patient outreach and report delivery, with substantial improvements in observability and configuration. Implemented NHS Notify integration with improved error handling and logging, including storage of API error details, timestamped send failures, and removal of legacy CMAPI usage. Expanded test coverage to ensure message batches are sent correctly across all episode types. Rolled out clinic-based appointment invites personalization by introducing clinic location data (description and URL) for the private beta. Added NHS Mail SMTP integration to enable email delivery of generated reports, with configuration driven by environment variables. These changes collectively improve reliability, reduce manual follow-ups, and enable scalable communications.
August 2025
32 Commits • 17 Features
Aug 1, 2025Month: 2025-08 | Repository: NHSDigital/dtos-manage-breast-screening Overview The August 2025 cycle delivered substantial improvements to data integrity, reliability, and governance across the dtos-manage-breast-screening service. Highlights include robust appointment handling with idempotent updates, a resilient notification and retry framework, enhanced test coverage, and governance artifacts to improve ownership clarity. Performance improvements and storage-related refinements position the service for scalable operation and safer production deployments. 1) Key features delivered - Appointment Handling Improvements: added cancelled_at and updated_at timestamps; updates apply when corresponding events occur; implemented idempotent upsert behavior for Appointments to prevent duplicates. - Batch processing and retry infrastructure: introduced retry queue, retry command, and enhanced error handling for failed MessageBatches; tracked statuses and errors; removed large payload as recoverable error to reduce retry noise. - Data governance and ownership: added CODEOWNERS to clarify team responsibility; increased test coverage for booked_by field; refactored holding clinic flow and added appointment existence checks to prevent duplicates. - Storage and performance enhancements: added blob_name field to Appointments and persisted blob_name when reading from storage; introduced nbss_id index on Appointments to speed up lookups; cleaned up deprecated blob container calls. - Reliability and configuration improvements: exposed env flags for NOTIFICATIONS_BATCH_RETRY_LIMIT and NOTIFICATIONS_BATCH_RETRY_DELAY; added queue item API; enhanced processing for validation errors; refined naming to NHS standards (nhs_notify_errors). 2) Major bugs fixed - Appointment Factory Warning Fix: resolved factory generation warning for AppointmentFactory. - Holding Clinic safeguard: ensured holding clinic appointments are not saved inadvertently. - CI lint cleanup: fixed lint error related to create-environment.md. - Blob container API cleanup: updated deprecated calls to current API. - Blob_name handling regression: fixed and then reverted blob_name introduction where necessary to avoid regression. - Booked-event constraint: prevented creation of new Appointments unless associated with a booked event. - Recoverable errors: removed a validation error from the recoverable errors set to improve error classification. 3) Overall impact and accomplishments - Increased data integrity and correctness of appointment records through timestamping, idempotent updates, and event-driven synchronization. - Improved reliability of notification delivery and batch processing via retry mechanisms and robust error tracking. - Enhanced governance, traceability, and ownership (CODEOWNERS), alongside better test coverage and validation processing. - Performance and operational efficiency gains from a new nbss_id index and storage-related refinements, reducing lookup times and improving storage-read/write behavior. - Stronger deployment readiness and observability through environment configuration and lint/CI hygiene. 4) Technologies/skills demonstrated - Batch processing architectures: retry queues, retry commands, error handling, and status-tracking for asynchronous workflows. - Data integrity patterns: idempotent updates, event-driven state updates, and defensive checks for data creation. - Testing and quality: expanded test coverage (booked_by), validation processing, and behavior under edge cases. - Governance and maintainability: CODEOWNERS, consistent naming (nhs_notify_errors), and refactoring for maintainability (message_batch_helpers, hold clinic logic). - Performance and storage: indexing (nbss_id), blobName management, and cleanup of deprecated API usage. - Configuration and observability: env-based retry settings, queue item operations, and improved error reporting.
32 Commits • 17 Features
Aug 1, 2025Month: 2025-08 | Repository: NHSDigital/dtos-manage-breast-screening Overview The August 2025 cycle delivered substantial improvements to data integrity, reliability, and governance across the dtos-manage-breast-screening service. Highlights include robust appointment handling with idempotent updates, a resilient notification and retry framework, enhanced test coverage, and governance artifacts to improve ownership clarity. Performance improvements and storage-related refinements position the service for scalable operation and safer production deployments. 1) Key features delivered - Appointment Handling Improvements: added cancelled_at and updated_at timestamps; updates apply when corresponding events occur; implemented idempotent upsert behavior for Appointments to prevent duplicates. - Batch processing and retry infrastructure: introduced retry queue, retry command, and enhanced error handling for failed MessageBatches; tracked statuses and errors; removed large payload as recoverable error to reduce retry noise. - Data governance and ownership: added CODEOWNERS to clarify team responsibility; increased test coverage for booked_by field; refactored holding clinic flow and added appointment existence checks to prevent duplicates. - Storage and performance enhancements: added blob_name field to Appointments and persisted blob_name when reading from storage; introduced nbss_id index on Appointments to speed up lookups; cleaned up deprecated blob container calls. - Reliability and configuration improvements: exposed env flags for NOTIFICATIONS_BATCH_RETRY_LIMIT and NOTIFICATIONS_BATCH_RETRY_DELAY; added queue item API; enhanced processing for validation errors; refined naming to NHS standards (nhs_notify_errors). 2) Major bugs fixed - Appointment Factory Warning Fix: resolved factory generation warning for AppointmentFactory. - Holding Clinic safeguard: ensured holding clinic appointments are not saved inadvertently. - CI lint cleanup: fixed lint error related to create-environment.md. - Blob container API cleanup: updated deprecated calls to current API. - Blob_name handling regression: fixed and then reverted blob_name introduction where necessary to avoid regression. - Booked-event constraint: prevented creation of new Appointments unless associated with a booked event. - Recoverable errors: removed a validation error from the recoverable errors set to improve error classification. 3) Overall impact and accomplishments - Increased data integrity and correctness of appointment records through timestamping, idempotent updates, and event-driven synchronization. - Improved reliability of notification delivery and batch processing via retry mechanisms and robust error tracking. - Enhanced governance, traceability, and ownership (CODEOWNERS), alongside better test coverage and validation processing. - Performance and operational efficiency gains from a new nbss_id index and storage-related refinements, reducing lookup times and improving storage-read/write behavior. - Stronger deployment readiness and observability through environment configuration and lint/CI hygiene. 4) Technologies/skills demonstrated - Batch processing architectures: retry queues, retry commands, error handling, and status-tracking for asynchronous workflows. - Data integrity patterns: idempotent updates, event-driven state updates, and defensive checks for data creation. - Testing and quality: expanded test coverage (booked_by), validation processing, and behavior under edge cases. - Governance and maintainability: CODEOWNERS, consistent naming (nhs_notify_errors), and refactoring for maintainability (message_batch_helpers, hold clinic logic). - Performance and storage: indexing (nbss_id), blobName management, and cleanup of deprecated API usage. - Configuration and observability: env-based retry settings, queue item operations, and improved error reporting.
August 2025
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for NHSDigital/dtos-manage-breast-screening: key features delivered, major fixes, impact, and skills demonstrated. Focused on reliability of appointment notifications, data integrity for NBSS events, and developer experience to accelerate testing.
July 2025
3 Commits • 2 Features
Jul 1, 2025July 2025 monthly summary for NHSDigital/dtos-manage-breast-screening: key features delivered, major fixes, impact, and skills demonstrated. Focused on reliability of appointment notifications, data integrity for NBSS events, and developer experience to accelerate testing.
Activity
Loading activity data...
Quality Metrics
Correctness91.8%
Maintainability92.0%
Architecture87.6%
Performance83.2%
AI Usage20.0%
Skills & Technologies
Programming Languages
DockerfileJSONMarkdownPythonSQLShellenv
Technical Skills
API IntegrationApplication InsightsApplication MonitoringAzure Blob StorageAzure SDKBackend DevelopmentBuild EngineeringCloud EngineeringCloud ServicesCloud Services IntegrationCloud Storage IntegrationCode OrganizationConfiguration ManagementData ManagementData Processing
Repositories Contributed To
Overview of all repositories you've contributed to across your timeline