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wasp-os/README.md
Daniel Thompson ccfa480740 README: Add video link
2020-01-31 09:10:39 +00:00

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Watch Application System in Python

Currently WASP is primarily useful as a pre-packaged MicroPython development environment for PineTime. Whilst there are plans to grow it into a smart watch runtime for Pine64 PineTime and the Desay DS-D6 fitness tracker this goal has yet to be achieved.

WASP includes a robust bootloader based on the Adafruit NRF52 Bootloader. It has been extended to make it robust for development on form-factor devices without a reset button, power switch, SWD debugger or UART. This allows us to confidently develop on sealed devices relying only on BLE for updates.

Video

WASP bootloader and MicroPython running on Pine64 PineTime

Building from a git clone

make submodules
make softdevice
make -j `nproc` BOARD=pinetime all

Installing

Note: If you have a new PineTime then it will have been delivered with flash protection enabled. You must disable the flash protection before trying to program it.

  • Use an SWD programmer to install bootloader.hex to the PineTime. This file is an Intel HEX file containing both the bootloader and the Nordic SoftDevice. Be careful to disconnect cleanly from the debug software since just pulling out the SWD cable will mean the nRF52 will still believe it is being debugged.
  • Copy micropython.zip to your Android device and download nRF Connect for Android if you do not already have it.
  • In nRF Connect, choose settings and reduce the DFU packet count from 10 to 4.
  • Connect to PineDFU using nRFConnect, click the DFU button and send micropython.zip to the device.

At the end of this process your watch you will see a couple of splash screens (bootloader shows a small Pine64 logo, MicroPython shows are larger one). Once the second splash screen appears you will be able to use the Nordic UART Service to access the MicroPython REPL.

Drivers are still in development, see the TODO list for current status. In the mean time try the following and then take a look at the wasp/ directory to see how it works:

import demo
demo.run()