Based on Python 3.10
To use the sample code:
- install Python from python.org
- create a virtual environment for Python to keep the module dependencies isolated.
IMO the most comfortable way to work with Python virtual environments is to use virtualenvwrapper.
I'm not sure whether/how that works on Windows. A possible fallback is to follow these steps: https://docs.python.org/3/tutorial/venv.html - Download all file of this repository to a project directory
- in that project directory install the project requirements with
pip install -r requirements.txt.
If you created and activated a virtual environment before then the project requirements are not installed in the context of your system Python installation but only in the context of your virtual environment - rename the file ".env sample" in the project directory to ".env" and in the file edit the required settings:
AXL_HOST=<UCM host to be used for AXL requests> AXL_USER=<username for AXL authentication> AXL_PASSWORD=<password for AXL authentication> WEBEX_ACCESS_TOKEN=<access token obtained from developer.webex.com> GMAIL_ID=<gmail email id user to create dummy email addresses for Webex test users>
To obtain a Webex access token you need to navigate to https://developer.webex.com and log in as an administrator of your Webex site.
Then select 
in the header and then 
at
the left. This gets you to this:
There you want to copy the access token to your clipboard using the 
icon from
where you can then paste the token to the .env file.
For read_gdpr.py you have to edit the read_gdpr.yml file and enter the host names and credentials of the UCM hosts
that the tool should read GDPR learned patterns from. The tool creates a CSV file with all patterns learned by any of
the UCM hosts configured.
Finally, export_to_csv.py is a simple tool to extract a table from UCM's Db into a CSV file. The table to export is
passed as parameter when calling the script. The UCM data dictionary with documentation of all tables can be found here:
https://developer.cisco.com/docs/axl/