Python script to download Priva-generated CSV files (containing data from Western Sydney University's Glasshouse Facility) from the associated gmail email address and convert those files to TOA5 format (thus enabling smart upload into HIEv)

To enable this script to log into the associated gmail address, a matching file entitled credentials.py must be created alongside the main script file, with contents:

gmail_login = {
    'username': "WSU.Glasshouse@gmail.com",
    'password': "<insert gmail password>"
}

Python 3

Pandas library (via pip install etc)

Gerard Devine - Hawkesbury Institute for the Environment

This project is licensed under the MIT License - see the LICENSE.md file for details