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A SQL Alchemy backend setup to generate charts of sensor data in the VCDS (VagCom) reader for Volkswagen/Audi using Plotly and Python.

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VCDS (VagCom) Interface

USAGE:

This program works by running log.py via python log.py

It assumes that you have generated a 'session' csv file

What it does is load the session into SQL Alchemy (Database.db) via 'backend.py'; it then utilizes 'graph.py' to create a combined line chart of all the data.

PURPOSE:

To be able to drill down on correlated data.

ENHANCEMENTS:

Converting the scaling based on tolerances

DEPENDENCIES:

python3+

pip install SQLAlchemy

pip install plotly

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A SQL Alchemy backend setup to generate charts of sensor data in the VCDS (VagCom) reader for Volkswagen/Audi using Plotly and Python.

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