ltn22 / schc Goto Github PK

Current pylint score is -7.58
branch pylint_improvement aims at bettering that score

The python code is currently all contained in the python folder. It might be a good idea to separate the core code of the library from tests, docs and samples (sensor.py)

The makefile provided with examples would probably go easier on the device's flash if it did not directly write all files to it, but first check if it exists/changed using ampy get

This is an issue to discuss and keep track of the implementation of automated tests for the python part of the project. These tests are being implemented in branch pytest_implementation_2

The current python example presents a very full and realistic use case, combining compression with CBOR, adaptative LoRa datarate or actual sensor interfaceing.
It would however be more easy to discover SCHC with a simpler example doing only dummy CoAP traffic and SCHC compression

The current web server example, intented to be ran on the LoRa backend, is located in the javascript folder and implemented in the same language. It would be more efficient to reuse the python implementation in native python (since the tests already pass, it should be quick) in order to avoid code duplication.
Once this is done, it will be time to discuss completely ditching the javascript code.

With the new code structure from #6, a makefile would be useful in order to properly flash an example on a device.