Taegis SDK for Python
The Taegis SDK is a Python library for interfacing with the GraphQL APIs in Taegis.
Prerequisites
- Python 3.8 or higher.
Authentication
- Set
CLIENT_IDandCLIENT_SECRETenvironment variables as described in the Taegis XDR Documenation.
OR
- Login using username/password with mfa upon service creation
OR
- Device Code SSO
Installation
python -m pip install taegis-sdk-python
Using the SDK
To use the SDK, you must first import the GraphQLService
from taegis_sdk_python import GraphQLService
from pprint import pprint as pp
service = GraphQLService()
Now that you have the GraphQLService, you can make requests and process responses for Taegis XDR Services. The following example uses the Investigations Service to send a query to get all available investigations
result = service.investigations.query.investigations_search(
page=1, per_page=3, query="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
)
pp(result)
result = service.tenants.query.tenants(
tenants_query=TenantsQuery(
max_results=10,
page_num=1,
)
)
pp(result)
results = service.events.subscription.event_query(
query="FROM process EARLIEST=-1d",
options=EventQueryOptions(
max_rows=20,
page_size=10,
skip_cache=True,
),
)
pp(results)
print()
try:
next_page = next(iter({result.next for result in results if result.next}))
except StopIteration:
next_page = None
if next_page:
results = service.events.subscription.event_page(page_id=next_page)
pp(results)
Getting Started Exploring the Schema
from taegis_sdk_python import GraphQLService
service = GraphQLService()
schema = service.core.get_sync_schema()
For more in depth analysis see: Exploring the Schema
For more information see the Getting Started
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