The pk_cnic function within the mock-jutsu library is a specialised tool designed for developers and QA engineers who require realistic Pakistani identity information for software validation. In the realm of international software development, generating accurate test data for specific regions is often a bottleneck. This function solves that by instantly producing a 13-digit Computerised National Identity Card (CNIC) number, formatted according to the official standards set by the National Database and Registration Authority (NADRA). By using the pk_cnic generator, teams can ensure their applications handle Pakistani regional identifiers with precision and consistency without the risks of handling sensitive real-world information.
Structurally, the pk_cnic function generates a string following the NNNNN-NNNNNNN-N pattern. This format is not merely a random sequence of integers; it reflects the geographical and demographic coding used in Pakistan. The first five-digit block represents the individual's provincial and local area codes, the middle seven-digit segment serves as a unique serial number, and the final digit typically denotes gender. By mimicking this specific structure, mock-jutsu provides high-fidelity mock data that passes front-end masks and back-end regex validations. This allows developers to simulate realistic user profiles while adhering to data privacy best practices during the development lifecycle.
Testing scenarios for this function are diverse, ranging from Know Your Customer (KYC) workflows in fintech applications to registration modules in government-tech portals. Developers can use pk_cnic to verify that database schemas correctly store hyphenated strings and that UI components properly enforce input constraints. Furthermore, the ability to generate this test data through multiple interfaces—whether via the Python API for unit tests, the CLI for quick prototyping, or the JMeter plugin for performance testing—makes it an incredibly versatile asset for any DevOps pipeline. It ensures that data integrity is maintained across all layers of the application stack.
The primary benefit of integrating mock-jutsu into your workflow is the significant reduction in manual data entry and the elimination of privacy concerns. Instead of manually crafting dummy entries that might fail complex validation logic, the pk_cnic function automates the process, allowing for the rapid creation of massive datasets. This efficiency ensures that edge cases are covered and that your software is robust enough for the Pakistani market. Whether you are building a small-scale utility or a nationwide digital infrastructure, having reliable, standardised mock data at your fingertips is essential for maintaining high development standards.
mockjutsu generate pk_cnicmockjutsu bulk pk_cnic --count 10mockjutsu export pk_cnic --count 10 --format jsonmockjutsu export pk_cnic --count 10 --format csvmockjutsu export pk_cnic --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate pk_cnic --maskmockjutsu bulk pk_cnic --count 5 --maskfrom mockjutsu import jutsujutsu.generate('pk_cnic')jutsu.bulk('pk_cnic', count=10)jutsu.template(['pk_cnic'], count=5)# mask=True: regulation-compliant outputjutsu.generate('pk_cnic', mask=True)jutsu.bulk('pk_cnic', count=5, mask=True)${__mockjutsu_intl_ids(pk_cnic)}# JMeter Function: __mockjutsu_intl_ids# Parameter 1: pk_cnic# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_intl_ids(pk_cnic,mask)}GET /generate/pk_cnic# → {"type":"pk_cnic","result":"...","status":"ok"}GET /bulk/pk_cnic?count=10POST /template {"types":["pk_cnic"],"count":1}# mask=true: regulation-compliant outputGET /generate/pk_cnic?mask=trueGET /bulk/pk_cnic?count=5&mask=true| Parameter | Values | Description |
|---|---|---|
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |