Hot reload a single file on the spike prime hub

[ytraub]

For FLL we wrote a lot of code that runs on the spike that handles stuff like PID and acceleration in an abstraction. Now we are wondering if there is a way to hot reload a single file and send it to the spike instead of having to send all the boilerplate with it everytime you want to reload your runs.

I've read through a lot of source code of pybricks and pybricksdev and concluded that all of the users program files get compiled to a single blob of mpy bytecode and stored in memory on the RAM of the Spike. I figured it might be possible to just recompile the runs file and overwrite it on the RAM via the pybricks gatt characterstics with Command.COMMAND_WRITE_USER_RAM. However this isn't easy to do as the runs.py obviously can change in size and potentialy overwrite other parts of the software.

Maybe do you have any suggestions or tipps on how to tackle this problem? I would be very grateful.

Thank you in advance and have a nice time!

[dlech]

No, for the technical reasons that you have already stated, that isn't currently possible.

It the issue just that it takes too long to download everything again?

[ytraub]

Too long is a bit exaggerated but it would be nice if there is a way to make it faster.
Maybe some kind of very simple bootstraped interpreter, we just send over the op code specific to our abstraction but i don't know if there is a way to save something on the spike so we still have it after reboot.