The nhsnumber function within the mock-jutsu library serves as a vital tool for developers and quality assurance engineers working within the healthcare sector. By providing a reliable way to generate a synthetic nhsnumber, the library simplifies the process of creating high-quality mock data that mirrors the structure of real-world patient identifiers used across the United Kingdom. This function is an essential component for teams who need to populate staging environments or conduct performance tests without compromising sensitive personal information or violating privacy protocols.
Accuracy is paramount when dealing with medical identifiers, and mock-jutsu ensures that every generated nhsnumber adheres to official formatting standards. The function implements the standard Modulo 11 checksum algorithm, which is the mathematical validation process used by the National Health Service to verify the integrity of a ten-digit identifier. This ensures that the generated test data passes front-end validation logic and back-end database constraints, providing a seamless experience during the development of Electronic Health Records (EHR) or patient management portals where data integrity is non-negotiable.
In terms of practical application, the nhsnumber function is indispensable for a variety of testing scenarios. Whether you are verifying the search functionality of a clinical dashboard or stress-testing a data migration pipeline, having access to valid yet fake identifiers is crucial. Developers can use these identifiers to simulate complex patient journeys, ensuring that edge cases—such as duplicate entries or incorrect checksums—are handled gracefully by the application. This level of realism helps in identifying potential bugs long before the software reaches a production environment, ultimately leading to more stable healthcare software.
One of the primary benefits of using mock-jutsu is its extreme versatility across different technical stacks. The library offers multiple integration points, allowing developers to generate an nhsnumber via the command-line interface for quick scripting, through the Python API for automated test suites, or via a custom plugin for JMeter performance testing. This flexibility reduces the overhead of manual data creation and allows engineering teams to focus on building robust healthcare solutions. By automating the generation of compliant test data, mock-jutsu enhances productivity and ensures that privacy regulations are strictly followed during the software development lifecycle.
mockjutsu generate nhsnumbermockjutsu bulk nhsnumber --count 10mockjutsu export nhsnumber --count 10 --format jsonmockjutsu export nhsnumber --count 10 --format csvmockjutsu export nhsnumber --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate nhsnumber --maskmockjutsu bulk nhsnumber --count 5 --maskfrom mockjutsu import jutsujutsu.generate('nhsnumber')jutsu.bulk('nhsnumber', count=10)jutsu.template(['nhsnumber'], count=5)# mask=True: regulation-compliant outputjutsu.generate('nhsnumber', mask=True)jutsu.bulk('nhsnumber', count=5, mask=True)${__mockjutsu_health(nhsnumber)}# JMeter Function: __mockjutsu_health# Parameter 1: nhsnumber# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_health(nhsnumber,mask)}GET /generate/nhsnumber# → {"type":"nhsnumber","result":"...","status":"ok"}GET /bulk/nhsnumber?count=10POST /template {"types":["nhsnumber"],"count":1}# mask=true: regulation-compliant outputGET /generate/nhsnumber?mask=trueGET /bulk/nhsnumber?count=5&mask=true| Parameter | Values | Description |
|---|---|---|
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |