In the high-stakes world of aviation software development, generating realistic test data is essential for ensuring system integrity and performance. The iata_ticket function within the mock-jutsu library provides developers with a streamlined way to produce valid IATA Electronic Ticket Numbers (ETN). This function is a critical tool for engineers building or maintaining airline reservation platforms, global distribution systems (GDS), and passenger service interfaces where data accuracy is non-negotiable for successful integration testing.
Every string generated by the iata_ticket function adheres strictly to international aviation standards to ensure it behaves like real-world information. Each thirteen-digit number consists of a three-digit airline accounting code, a nine-digit serial number, and a final MOD-7 check digit. By incorporating the specific MOD-7 algorithm, mock-jutsu ensures that the mock data will pass through front-end validation scripts and back-end database constraints that check for checksum consistency. This level of technical detail prevents false negatives during automated testing cycles and provides a higher degree of realism than simple random number generation.
The versatility of the iata_ticket generator makes it ideal for a wide range of testing scenarios. Developers can use it to populate staging databases, simulate high-volume transaction loads in stress tests, or verify the error-handling capabilities of complex payment gateways. Whether you are validating a new API endpoint for a travel agency portal or refining a passenger check-in workflow, having access to predictable yet syntactically correct test data allows for more robust debugging and smoother deployment phases. It eliminates the risks associated with using sensitive production data while maintaining the structural integrity required for deep-level testing.
Integrating this function into your existing workflow is effortless, regardless of your preferred environment. For Python developers, a simple call to jutsu.generate('iata_ticket') returns a valid ETN instantly. System administrators can leverage the mock-jutsu CLI for quick data generation in shell scripts, while performance testers can utilize the JMeter plugin to inject dynamic values into large-scale load tests. By choosing mock-jutsu, development teams can significantly reduce the time spent on manual data preparation and focus on building more reliable and compliant aviation technology solutions.
mockjutsu generate iata_ticketmockjutsu bulk iata_ticket --count 10mockjutsu export iata_ticket --count 10 --format jsonmockjutsu export iata_ticket --count 10 --format csvmockjutsu export iata_ticket --count 10 --format sql# --mask: regulation-compliant output (PCI DSS / GDPR / KVKK)mockjutsu generate iata_ticket --maskmockjutsu bulk iata_ticket --count 5 --maskfrom mockjutsu import jutsujutsu.generate('iata_ticket')jutsu.bulk('iata_ticket', count=10)jutsu.template(['iata_ticket'], count=5)# mask=True: regulation-compliant outputjutsu.generate('iata_ticket', mask=True)jutsu.bulk('iata_ticket', count=5, mask=True)${__mockjutsu_aviation(iata_ticket)}# JMeter Function: __mockjutsu_aviation# Parameter 1: iata_ticket# Parameter 2: (not required for this function)# Add 'mask' keyword to get a regulation-compliant masked value${__mockjutsu_aviation(iata_ticket,mask)}GET /generate/iata_ticket# → {"type":"iata_ticket","result":"...","status":"ok"}GET /bulk/iata_ticket?count=10POST /template {"types":["iata_ticket"],"count":1}# mask=true: regulation-compliant outputGET /generate/iata_ticket?mask=trueGET /bulk/iata_ticket?count=5&mask=true| Parameter | Values | Description |
|---|---|---|
| --mask | true | false | Return a regulation-compliant masked value (PCI DSS, GDPR, KVKK…) |