QRadar API python client for scripting

[!IMPORTANT] python3.10 and above supported.

http libs such as requests or httpx should be installed separately or as optional packages, as described below.

Features:

• Pulls API schema from QRadar and creates client methods dynamically for the API version specified. This makes this client source code as small as possible;
• Asyncronous and client with schema caching introduced
• All the endpoints of QRadar API is mapped to a client method by name;
• No dependencies introduced, tested with httpx and requests http protocol libs with dependency injection, but obviously will only work with libs that provide compatible requests-like interface for Session-like object. Of course, wrappers can help with using incompatible libs;
• Generates stub file for method hinting if needed. It takes ~10MB of disk space.

Installation

pip install qradar

or with requests/httpx correspondingly:

pip install qradar[requests]

pip install qradar[httpx]

Intended usage

[!TIP] Made to be used as full-featured copypaste drop-in client for scripts where pip installation way be unwanted. Clients are used this way in examples.

Of course, it is not prohibited to install this package with pip.

How to use any client (refer to examples for more)

0. Use any of import statements:

from qradar import QRadar, QRadarAsync, QRadarCached

or copy the coppersonding qradar/client.py file contents

1. Initialize client as following:

q = QRadar("https://qradar.is.local", KEY, "22.0", requests.Session(), verify=False) 

Having:

• qradar.is.local is QRadar console hostname or ip
• KEY is API key created from console
• "22.0" - replaced with API version you want
• requests imported (and installed)

Also works with httpx, with minor differences. Refer to examples for details

2. Use client instance methods, forming the name of desired endpoint

For example, the endpoint 22.0 - GET - /reference_data/map_of_sets is referenced by name q.get_reference_data_map_of_sets. The http method goes first, and the API endpoint path is trailing it, having the slashes replaced with underscores.

For endpoints such as 22.0 - GET - /reference_data/map_of_sets/{name} use the reference_data_map_of_sets_name, with {name} part provided as keyword argument: q.get_reference_data_map_of_sets_name(name='refmapofsetsname')

For params such as filter, use keyword arguments: q.help_endpoint(filter=f"version={version}")

For data posting, use first non-keyword argument. It accepts json-serializable objects (lists, dicts, lists of dicts, etc.): q.post_reference_data_map_of_sets({"data": ["data"]})

Generating .pyi file for intellisense

1. Clone the repository into project folder
2. Run python3 schema_prefetch.py having correct parameters in source code
3. client.pyi file must appear. As far as it is in one folder with client.py, the methods will be hinted with the names, arguments and description from QRadar API schema