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License: MIT License
Monitors the laundry and notifies you when it's done!
License: MIT License
Extract wm_poller and separate it from the api logic.
This is so that when run with gunicorn the wm_poller doesn't get started multiple times. This is currently not a serious problem, as one worker is enough for the current load.
Write tests for the Telegram Bot.
Write a systemd.service file for automated startup and system handling in Linux.
Test logging and exception handling for errors, make sure they don't throw errors themselves.
Write a script for installing it as python module, so it can be called from the command line. Replace the current simple startup script.
Write tests for all REST api functions to ensure the output is correct.
Backdate the time that is sent to the user to the actual finish time, which is currently 48 ticks (x5 sec) ahead of the notification time.
Write a Dockerfile to be able to deploy the server easily, including systemd.service file for startup/stop
Make sure there's documentation on all of those and write it if necessary.
Write a tool with i.e. plotly's Dash (build on react flask and plotly) to analyze the usage of the washing machine and see all relevant data on the dashboard.
Simple webpage (maybe integrate with the live data) to send the REST api commands.
Change passwords an api tokens for
Remove other sensitive data.
To simplify things, the logic should only be contained in one class/interface and be accessed by the rest api functions or the telegram handlers.
Used e.g. in logging.
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