Power consumption metering with graphs and calculate electricity costs. Uses tinytuya for local access to the smart device (socket) and the flask framework for a minimal site.

pip install -r requirements.txt

Using tinytua's wizard, get the required ID, IP and local key of your device:

python -m tinytuya wizard

The results will be stored in a json. Enter these values in .env

After that, the flask app is ready:

python app.py

Start logging power consumption information using power_monitor_working.py. You can do this by enabling "Record Statistics" on the flask app.

If your logging file gets too big, there is an additional script that compresses older data into 1-minute averages (instead of the original measurements that happen every 5 seconds).

python compress_data.py

Optionally, you can automate this using a Windows Task Scheduler (or whatever else for other operating systems)

@echo off
cd /d "%~dp0"
python compress_data.py 

• GPU usage metering works only for NVIDIA GPUs
• Scroll/pan doesn't work https://www.chartjs.org/chartjs-plugin-zoom/samples/wheel/click-zoom.html