Difference between revisions of "SwagBadge2022 Firmware"

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(Created page with "The preferred software environment for the SwagBadge is MicroPython. The badges have MicroPython installed as part of the testing process, but you may need to (re)install it t...")
 
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The SwagBadge 2022 currently requires microPython version 1.17.
 
The SwagBadge 2022 currently requires microPython version 1.17.
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Move the downloaded binary into the "firmware" directory.
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 +
TODO: Continue from https://github.com/geekscape/aiko_engine_mp

Revision as of 14:10, 12 March 2023

The preferred software environment for the SwagBadge is MicroPython. The badges have MicroPython installed as part of the testing process, but you may need to (re)install it to make sure you have a consistent environment.

The following sequence will fetch all the resources required including Aiko Engine, flash the badge with the correct version of MicroPython, and install the firmware.

 mkdir SwagBadge2022                                   # Create a directory to keep everything in
 cd SwagBadge2022                                      # Change into it
 git clone git@github.com:geekscape/aiko_engine_mp.git # Get Aiko Engine
 git clone git@github.com:geekscape/aiko_services.git  # Get Aiko Services, which has fun examples
 python3 -m venv aiko_env                              # Create a virtual Python environment for Aiko use
 . aiko_env/bin/activate                               # Activate the venv just created
 pip install esptool mpfshell                          # Install tools we need
 python3.9 -m pip install --upgrade pip                # To prevent it complaining every time!
 cd aiko_engine_mp                                     #
 mkdir firmware                                        # Create a directory to hold firmware

Download version v1.17 of the MicroPython binary for ESP32 from here: micropython.org/download/esp32/

The SwagBadge 2022 currently requires microPython version 1.17.

Move the downloaded binary into the "firmware" directory.

TODO: Continue from https://github.com/geekscape/aiko_engine_mp