You can see the full rendered docs at: http://pyopnsense.readthedocs.io/en/latest/
A python API client for the OPNsense API. This provides a python interface for interacting with the OPNsense API.
pyopnsense is available via pypi so all you need to do is run:
pip install -U pyopnsense
to get the latest pyopnsense release on your system. If you need to use a development version of pyopnsense you can clone the repo and install it locally with:
git clone https://github.com/mtreinish/pyopnsense && pip install -e pyopnsense
which will install pyopnsense in your python environment in editable mode for development.
To use pyopnsense you need a couple pieces of information, the API key and the API secret. Both can be created/found from the OPNsense web UI by navigating to: System->Access->Users under API keys.
More information on this can be found in the OPNsense documentation: https://docs.opnsense.org/development/how-tos/api.html
Once you have the API key and API secret you can use pyopnsense to interact with your OPNsense installation. You can do this by passing your credentials to a client class. For example:
from pyopnsense import diagnostics
api_key = 'XXXXXX'
api_secret = 'XXXXXXXXXXXXXXX'
opnsense_url = 'http://192.168.1.1/api'
timeout = 5
netinsight_client = diagnostics.NetworkInsightClient(
api_key, api_secret, opnsense_url, timeout=timeout)
print(netinsight_client.get_interfaces())which will print a dictionary mapping physical devices to their interface label.
This same formula can be used to access each individual API endpoint you need to access. The basic structure of the library is setup to roughly mirror the endpoint tree of the OPNsense API. Each client module maps to the base endpoint and then there is a client class in those modules for the next level up off that.
You can find more detail on how to use the clients in the API reference documentation found here: