The kr_rrn function within the mock-jutsu library provides developers with a streamlined way to generate realistic South Korean Resident Registration Numbers (RRN) for various testing environments. As a critical identifier in South Korean digital ecosystems, the RRN is a 13-digit code used for everything from administrative tasks to financial services. By using mock-jutsu, engineers can produce valid-format test data that mimics the complexity of real-world identifiers without compromising sensitive information or violating privacy regulations. This ensures that applications requiring localized data validation can be tested thoroughly and safely.
Structurally, the kr_rrn generator adheres to the official standards established for South Korean identification. Each generated string follows the YYMMDD-GXXXXXC format, where the first six digits represent the individual's birth date. The seventh digit serves as a gender indicator, which also distinguishes between citizens born in different centuries and foreign residents. The subsequent digits include a regional office code and a serial number, concluding with a checksum digit calculated via a specific weighted algorithm. This high level of precision ensures that the mock data passes through strict validation logic in front-end forms and back-end database schemas.
For quality assurance teams, the kr_rrn function is indispensable when simulating user registration flows, KYC (Know Your Customer) verifications, and age-restricted access controls. Testing scenarios often require a high volume of unique, valid identifiers to stress-test database indexing or to verify that localized logic correctly interprets the gender and age encoded within the ID. Whether you are building a global e-commerce platform or a localized fintech application, having access to reliable test data ensures that your software handles international ID formats with precision and avoids common parsing errors during production deployment.
One of the primary developer benefits of using mock-jutsu is its cross-platform versatility. Users can integrate kr_rrn directly into their Python scripts using the jutsu.generate method, execute quick generations via the command-line interface, or incorporate the function into performance testing suites with JMeter. This flexibility eliminates the need for manual data entry or the creation of custom regex-based scripts. By automating the generation of complex international IDs, mock-jutsu allows development teams to focus on core application logic while maintaining a high standard of data integrity and security throughout the software development lifecycle.
mockjutsu generate kr_rrnmockjutsu bulk kr_rrn --count 10mockjutsu export kr_rrn --count 10 --format jsonmockjutsu export kr_rrn --count 10 --format csvmockjutsu export kr_rrn --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate kr_rrn --maskmockjutsu bulk kr_rrn --count 5 --maskfrom mockjutsu import jutsujutsu.generate('kr_rrn')jutsu.bulk('kr_rrn', count=10)jutsu.template(['kr_rrn'], count=5)# mask=True: regulation-compliant outputjutsu.generate('kr_rrn', mask=True)jutsu.bulk('kr_rrn', count=5, mask=True)${__mockjutsu_intl_ids(kr_rrn)}# JMeter Function: __mockjutsu_intl_ids# Parameter 1: kr_rrn# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_intl_ids(kr_rrn,mask)}GET /generate/kr_rrn# → {"type":"kr_rrn","result":"...","status":"ok"}GET /bulk/kr_rrn?count=10POST /template {"types":["kr_rrn"],"count":1}# mask=true: regulation-compliant outputGET /generate/kr_rrn?mask=trueGET /bulk/kr_rrn?count=5&mask=true| Parameter | Values | Description |
|---|---|---|
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |