epcRFID

Mock Jutsu HOW-TO | UK

The Electronic Product Code, commonly known as the EPC, serves as a universal identifier for physical objects within the global supply chain. When developing logistics software or sophisticated inventory management systems, generating high-quality mock data is essential for simulating real-world hardware interactions. The mock-jutsu library provides a dedicated function for creating realistic EPC values, allowing developers to populate their systems with structurally accurate identifiers without requiring physical RFID tags or expensive scanning equipment. By integrating this function, teams can ensure their applications are prepared to handle the complexities of modern asset tracking.

Each epc generated by mock-jutsu adheres to the rigorous standards established by GS1, typically manifesting as a hexadecimal string that represents various encoding schemes such as SGTIN-96 or SSCC-96. This test data is crucial for validating how an application parses header information, filter values, partition bits, and serial numbers. By using mock-jutsu, engineers can ensure their data pipelines are resilient against different EPC lengths and formats, providing a robust foundation for testing database schemas and middleware logic that processes high-velocity RFID telemetry in real-time environments.

In practical testing scenarios, such as load testing a warehouse management system using JMeter or unit testing a Python-based microservice, the ability to generate a unique epc on demand is invaluable. It eliminates the risk of data collisions and allows for the simulation of massive inventory movements across virtual facilities. Developers benefit from the library's immense versatility, as the mock data can be invoked via the CLI for quick prototyping, integrated directly into Python scripts using the jutsu.generate syntax, or embedded into performance scripts with a simple JMeter function call. This flexibility ensures that the testing environment remains as close to production as possible.

Ultimately, incorporating mock-jutsu into your development workflow streamlines the transition from local testing to production-ready deployments. By automating the creation of epc strings, engineering teams can focus on refining business logic and user experience rather than manually curating static datasets. This automated approach not only improves overall test coverage but also ensures that the software remains compliant with global RFID standards, making mock-jutsu an essential tool for any modern supply chain digitisation project involving automated identification and data capture.

CLI Usage
mockjutsu generate epcmockjutsu bulk epc --count 10mockjutsu export epc --count 10 --format jsonmockjutsu export epc --count 10 --format csvmockjutsu export epc --count 10 --format sql
Python API
from mockjutsu import jutsujutsu.generate('epc')jutsu.bulk('epc', count=10)jutsu.template(['epc'], count=5)
JMeter
${__mockjutsu_iot(epc)}# JMeter Function: __mockjutsu_iot# Parameter 1: epc# Parameter 2: (not required for this function)
REST API
GET /generate/epc# → {"type":"epc","result":"...","status":"ok"}GET /bulk/epc?count=10POST /template {"types":["epc"],"count":1}

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