The mock-jutsu library provides developers with a robust suite of tools for generating realistic mock data, including specialized functions for hardware and communication protocol simulation. One such essential function is ir_rc5, which is specifically designed to generate infrared signal data adhering to the Philips RC5 protocol. This protocol is a mainstay in consumer electronics, utilizing bi-phase Manchester coding to ensure reliable communication between remote controls and receivers. By using this function, engineers can produce synthetic signal packets that include essential components like the system address, the command code, and the raw frame bit representation.
When generating test data with the ir_rc5 function, mock-jutsu ensures that every output follows the precise 14-bit frame structure defined by the industry standard. This includes the two start bits, the toggle bit used to distinguish between repeated key presses, the 5-bit system address, and the 6-bit command code. Whether you are working via the command line interface, integrating it directly into a Python script using the jutsu.generate method, or performing complex load testing in JMeter, the utility provides consistent and accurate representations of infrared traffic without requiring physical hardware or manual signal capturing.
This function is particularly beneficial for quality assurance teams and firmware developers who need to validate signal processing logic or remote-control decoding algorithms. In various testing scenarios, ir_rc5 allows for the simulation of hundreds of unique system and command combinations to ensure that an application or embedded system handles various inputs correctly. For instance, developers can verify how their software reacts to specific system addresses or edge-case commands that might be difficult to trigger manually with a physical infrared remote during the early stages of development.
Ultimately, mock-jutsu simplifies the development lifecycle by removing the bottleneck of hardware dependency. By integrating ir_rc5 into automated test suites, teams can achieve higher code coverage and identify potential bugs in signal handling early in the process. The ability to generate high-fidelity mock data on the fly ensures that your IoT and home automation projects remain stable, performant, and fully compliant with the RC5 standard, all while saving significant time during the prototyping and validation phases.
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 sqlfrom mockjutsu import jutsujutsu.generate('ir_rc5')jutsu.bulk('ir_rc5', count=10)jutsu.template(['ir_rc5'], count=5)${__mockjutsu_iot(ir_rc5)}# JMeter Function: __mockjutsu_iot# Parameter 1: ir_rc5# Parameter 2: (not required for this function)GET /generate/ir_rc5# → {"type":"ir_rc5","result":"...","status":"ok"}GET /bulk/ir_rc5?count=10POST /template {"types":["ir_rc5"],"count":1}