The no_fodselsnummer function within the mock-jutsu library is a specialized tool designed to generate authentic Norwegian national identity numbers, commonly known as the Fødselsnummer. In the landscape of modern software development, having access to realistic test data is essential for validating systems that interact with Nordic demographic information. This function produces a precise 11-digit string that follows the strict formatting rules required by the Norwegian government, ensuring that your applications can process these identifiers without triggering validation errors during the QA or development phases.
The technical complexity of the Fødselsnummer lies in its internal structure and rigorous checksum requirements. Each value generated by mock-jutsu consists of a six-digit birth date, a three-digit individual number, and two final checksum digits calculated using the MOD-11 algorithm. By utilizing the no_fodselsnummer generator, developers do not need to manually implement these complex mathematical validations. The library handles the algorithmic heavy lifting, ensuring that every piece of mock data adheres to the official standard used by the Norwegian Tax Administration and other public registries, which is vital for testing data integrity across various platforms.
Utilizing this function is particularly beneficial for testing scenarios involving Know Your Customer (KYC) workflows, financial services, and healthcare management systems. Because mock-jutsu provides valid-format test data, QA engineers can stress-test database constraints and UI input fields without risking the exposure of sensitive, real-world personal information. This approach significantly enhances data privacy compliance while maintaining high testing fidelity. Whether you are building a localized web application or a global enterprise system, incorporating this function streamlines the verification of data ingestion pipelines and ensures that your system handles Norwegian identity formats with precision.
Developers can seamlessly integrate no_fodselsnummer into their existing toolchains through multiple interfaces. The mock-jutsu library offers a versatile API, allowing for generation via a simple Python call or through a command-line interface for rapid prototyping. For performance and stress testing, the JMeter plugin support ensures that load tests can include dynamic, valid Norwegian IDs. This multi-platform flexibility makes it an essential asset for any engineering team looking to automate their data generation processes with speed and accuracy.
mockjutsu generate no_fodselsnummermockjutsu bulk no_fodselsnummer --count 10mockjutsu export no_fodselsnummer --count 10 --format jsonmockjutsu export no_fodselsnummer --count 10 --format csvmockjutsu export no_fodselsnummer --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate no_fodselsnummer --maskmockjutsu bulk no_fodselsnummer --count 5 --maskfrom mockjutsu import jutsujutsu.generate('no_fodselsnummer')jutsu.bulk('no_fodselsnummer', count=10)jutsu.template(['no_fodselsnummer'], count=5)# mask=True: regulation-compliant outputjutsu.generate('no_fodselsnummer', mask=True)jutsu.bulk('no_fodselsnummer', count=5, mask=True)${__mockjutsu_intl_ids(no_fodselsnummer)}# JMeter Function: __mockjutsu_intl_ids# Parameter 1: no_fodselsnummer# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_intl_ids(no_fodselsnummer,mask)}GET /generate/no_fodselsnummer# → {"type":"no_fodselsnummer","result":"...","status":"ok"}GET /bulk/no_fodselsnummer?count=10POST /template {"types":["no_fodselsnummer"],"count":1}# mask=true: regulation-compliant outputGET /generate/no_fodselsnummer?mask=trueGET /bulk/no_fodselsnummer?count=5&mask=true| Parameter | Values | Description |
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| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |