In the rapidly evolving landscape of telecommunications development, generating realistic msisdn strings is essential for building robust mobile applications and backend services. The MSISDN, or Mobile Station International Subscriber Directory Number, serves as the unique identifier for a subscription in a mobile network. Using the mock-jutsu library, developers can instantly generate high-quality mock data that mimics real-world phone numbers, ensuring that validation logic and database schemas are tested against accurate formats. Whether you are building an SMS gateway or a complex billing system, having access to reliable test data is a prerequisite for a successful deployment.
The msisdn function within mock-jutsu adheres to the global E.164 numbering plan, which is the international standard for public telecommunication numbering. This ensures that every generated number includes the necessary components: the Country Code (CC), the National Destination Code (NDC), and the Subscriber Number (SN). By producing strings like +905321234567, the library provides a level of realism that basic random number generators cannot match. This structural integrity is vital when testing systems that perform prefix-based routing or internationalization checks, as it allows engineers to simulate traffic from various regions without manual data entry.
For quality assurance teams, the ability to generate msisdn values on the fly simplifies several testing scenarios. It is particularly useful for verifying user registration flows, two-factor authentication (2FA) systems, and HLR/VLR lookup simulations. By utilizing mock-jutsu, teams can avoid the privacy risks and ethical concerns associated with using real subscriber information during the development lifecycle. This shift toward synthetic test data not only protects sensitive information but also allows for the creation of massive datasets to perform stress and load testing on telecommunications infrastructure.
Integration is seamless across various environments, making mock-jutsu a versatile choice for modern DevOps pipelines. Developers can invoke the msisdn generator directly through a Python script using the jutsu.generate method, or utilize the command-line interface for quick data seeding. Furthermore, the library offers a dedicated JMeter plugin, enabling performance testers to inject dynamic msisdn values into their load tests with a simple function call. This multi-platform support ensures that regardless of the toolchain, generating compliant and realistic mobile directory numbers remains a frictionless process.
mockjutsu generate msisdn --locale TRmockjutsu generate msisdn --locale DEmockjutsu bulk msisdn --count 10 --locale TRmockjutsu export msisdn --count 10 --format json --locale TRmockjutsu export msisdn --count 10 --format csv --locale TRmockjutsu export msisdn --count 10 --format sql --locale TR# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate msisdn --locale TR --maskmockjutsu bulk msisdn --count 5 --locale TR --maskfrom mockjutsu import jutsujutsu.generate('msisdn', locale='TR')jutsu.bulk('msisdn', count=10, locale='TR')jutsu.template(['msisdn'], count=5, locale='TR')# mask=True: regulation-compliant outputjutsu.generate('msisdn', locale='TR', mask=True)jutsu.bulk('msisdn', count=5, locale='TR', mask=True)${__mockjutsu_telecom(msisdn,TR)}# JMeter Function: __mockjutsu_telecom# Parameter 1: msisdn# Parameter 2: locale (TR/UK/US/DE/FR/RU)${__mockjutsu_telecom(msisdn,DE)}# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_telecom(msisdn,TR,mask)}GET /generate/msisdn?locale=TR# → {"type":"msisdn","result":"...","status":"ok"}GET /bulk/msisdn?count=10&locale=TRPOST /template {"types":["msisdn"],"count":1,"locale":"TR"}# mask=true: regulation-compliant outputGET /generate/msisdn?locale=TR&mask=trueGET /bulk/msisdn?count=5&locale=TR&mask=true| Parameter | Values | Description |
|---|---|---|
| --locale | TR|UK|US|DE|FR|RU | Region / locale for locale-aware output |
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |