ir_rc5IR

Mock Jutsu HOW-TO | UK

The mock-jutsu library provides a comprehensive suite of tools for generating realistic datasets, with the ir_rc5 function serving as a cornerstone for developers working on infrared communication protocols. This specific generator produces mock data structured according to the Philips RC5 standard, an industry-recognised bi-phase pulse position modulation technique. By using ir_rc5, engineers can simulate the binary signals typically transmitted by remote control handsets to domestic appliances, ensuring that their software handles the nuances of infrared signals without requiring physical hardware during the initial development phases.

When invoking the ir_rc5 function via the CLI or Python API, the library returns a structured object containing key parameters such as the system address, the command code, and the total frame bits. The algorithm behind this generator ensures that the generated test data adheres to the Manchester encoding rules inherent to the RC5 protocol. This includes the toggling bit used to distinguish between repeated button presses and the specific bit lengths required for standard frames. Because mock-jutsu generates these values programmatically, developers can quickly populate their test environments with a wide range of system-command combinations, covering everything from volume adjustments to complex device configuration sequences.

Utilising ir_rc5 is particularly beneficial for quality assurance teams building automated testing pipelines for IoT devices and smart home controllers. Instead of relying on manual IR signal capturing, which is often error-prone and time-consuming, testers can inject this high-quality mock data directly into their JMeter scripts or unit tests. This capability allows for rigorous edge-case testing, such as verifying how a receiver handles unexpected system addresses or rapid-fire command sequences. By integrating this function into a CI/CD workflow, teams can ensure that their decoding logic remains robust against a variety of simulated signal inputs.

Ultimately, mock-jutsu simplifies the complexities of hardware-level simulation by providing a streamlined interface for generating protocol-compliant test data. The ir_rc5 function eliminates the need for physical oscilloscopes or IR blasters during the logic verification stage, significantly reducing the cost and complexity of hardware-software integration testing. Whether you are developing a custom media centre or a sophisticated industrial sensor, having access to reliable, randomised, yet structurally sound IR signal data empowers your team to deliver more resilient products with greater efficiency.

CLI Usage
mockjutsu generate ir_rc5mockjutsu bulk ir_rc5 --count 10mockjutsu export ir_rc5 --count 10 --format jsonmockjutsu export ir_rc5 --count 10 --format csvmockjutsu export ir_rc5 --count 10 --format sql
Python API
from mockjutsu import jutsujutsu.generate('ir_rc5')jutsu.bulk('ir_rc5', count=10)jutsu.template(['ir_rc5'], count=5)
JMeter
${__mockjutsu_iot(ir_rc5)}# JMeter Function: __mockjutsu_iot# Parameter 1: ir_rc5# Parameter 2: (not required for this function)
REST API
GET /generate/ir_rc5# → {"type":"ir_rc5","result":"...","status":"ok"}GET /bulk/ir_rc5?count=10POST /template {"types":["ir_rc5"],"count":1}

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