The nhsnumber function within the mock-jutsu library is a specialized tool designed for developers and QA engineers working in the healthcare technology sector. This function serves as a reliable generator for National Health Service (NHS) numbers, which are the essential 10-digit identifiers used across the United Kingdom's health systems. By integrating this feature into your workflow, you can instantly produce realistic test data that mirrors the structure of actual patient identifiers, ensuring that your applications handle healthcare records with the necessary precision and formatting required for production-grade software.
Accuracy is critical when dealing with health-related test data, and the nhsnumber utility excels by adhering to the official Modulus 11 checksum algorithm. Each generated number consists of nine primary digits followed by a tenth check digit, calculated specifically to validate the integrity of the sequence. Because mock-jutsu generates these numbers according to these strict mathematical standards, the resulting mock data will pass through front-end validation logic and back-end database constraints just as a real identifier would. This high level of fidelity allows teams to test data entry forms, search functionalities, and complex record-linking algorithms without the risk of using actual personal information.
In terms of practical application, the nhsnumber generator is indispensable for a wide range of testing scenarios. Developers can use it to populate staging databases for patient management systems, while testers can leverage it to verify API endpoints that require valid identifiers for successful processing. It is particularly useful for load testing and performance benchmarking, where generating thousands of unique, valid entries is necessary to simulate real-world traffic. By using mock-jutsu, teams can ensure that their software remains compliant with data protection regulations like GDPR, as they are utilizing synthetically generated mock data rather than sensitive, live patient records.
Integration is seamless across various environments, making mock-jutsu a versatile choice for modern DevOps pipelines. Whether you are working directly in a terminal using the CLI, writing automated test scripts in Python with the jutsu.generate('nhsnumber') method, or performing stress tests in JMeter via the custom function plugin, the library provides a consistent experience. This flexibility empowers developers to maintain high data quality throughout the software development lifecycle, reducing the time spent on manual data preparation and allowing for more robust, automated verification of healthcare applications.
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…) |