In the landscape of Russian digital infrastructure, the SNILS (Insurance Number of an Individual Personal Account) serves as a critical identifier for citizens and residents alike. When building applications that interface with government services, healthcare portals, or HR management systems, developers frequently require reliable test data that mimics these unique eleven-digit identifiers. The mock-jutsu library provides a dedicated snils function designed to generate valid, syntactically correct numbers that strictly adhere to the official formatting standards used by the Pension Fund of the Russian Federation.
Accuracy is paramount when generating mock data for identity verification systems. Every snils produced by mock-jutsu includes a mathematically verified checksum, ensuring that the generated string passes through rigorous validation logic without triggering false negatives. The output typically follows the standard 112-233-445 95 format, where the final two digits are calculated based on a specific weighted algorithm applied to the preceding nine. This level of precision allows Quality Assurance teams to perform exhaustive integration testing, ensuring that front-end input masks and back-end validation algorithms function seamlessly under realistic conditions.
Beyond simple validation, using mock-jutsu for snils generation offers significant advantages for security and compliance. By utilising high-quality mock data instead of real personal information (PII), development teams can safeguard user privacy and comply with international data protection regulations. Whether you are automating workflows via the CLI, integrating the library into a Python-based test suite using jutsu.generate('snils'), or conducting performance benchmarks in JMeter with the custom function, the library ensures that your testing environment remains both robust and legally compliant.
The versatility of the mock-jutsu framework makes it an essential tool for modern DevOps pipelines. Developers can quickly populate databases with thousands of unique records or simulate complex user registration flows without the burden of manual data entry. By providing a standardised way to handle regional identity formats like the snils, mock-jutsu reduces the friction associated with internationalisation and local compliance testing. This efficiency allows engineering teams to focus on core feature development while maintaining high standards of data integrity across their staging and development environments.
mockjutsu generate snilsmockjutsu bulk snils --count 10mockjutsu export snils --count 10 --format jsonmockjutsu export snils --count 10 --format csvmockjutsu export snils --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate snils --maskmockjutsu bulk snils --count 5 --maskfrom mockjutsu import jutsujutsu.generate('snils')jutsu.bulk('snils', count=10)jutsu.template(['snils'], count=5)# mask=True: regulation-compliant outputjutsu.generate('snils', mask=True)jutsu.bulk('snils', count=5, mask=True)${__mockjutsu_identity(snils)}# JMeter Function: __mockjutsu_identity# Parameter 1: snils# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_identity(snils,mask)}GET /generate/snils# → {"type":"snils","result":"...","status":"ok"}GET /bulk/snils?count=10POST /template {"types":["snils"],"count":1}# mask=true: regulation-compliant outputGET /generate/snils?mask=trueGET /bulk/snils?count=5&mask=true| Parameter | Values | Description |
|---|---|---|
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |