Taegis Python SDK
Project description
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_ID
andCLIENT_SECRET
environment 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=-30d",
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)
Custom Examples
Custom Output
The SDK enables users to override the output property of a query to retrieve specific response fields. For example, the following code will ONLY return the ids, description and status of all Closed Investigations. This query runs inside the Service Context
.
from taegis_sdk_python import GraphQLService
service = GraphQLService()
# specify the output fields, and start the service context
with service(output="investigations { id description status } totalCount"):
result = service.investigations.query.investigations_search(
page=1,
per_page=3,
query="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
)
pp(result)
Change Tenant Context
from taegis_sdk_python import GraphQLService
service = GraphQLService()
# specify the output fields, and start the service context
with service(tenant_id="00000"):
result = service.investigations.query.investigations_search(
page=1,
per_page=3,
query="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
)
pp(result)
Change the Environment
from taegis_sdk_python import GraphQLService
service = GraphQLService()
# specify the output fields, and start the service context
with service(environment="delta"):
result = service.investigations.query.investigations_search(
page=1,
per_page=3,
query="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
)
pp(result)
Use a preexisting access token
from taegis_sdk_python import GraphQLService
service = GraphQLService()
# specify the output fields, and start the service context
with service(access_token="<your access token>"):
result = service.investigations.query.investigations_search(
page=1,
per_page=3,
query="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
)
pp(result)
Cascading Context
The Python SDK service can handle a cascading context. Each invocation of the service
context manager, now overwrites the context per stack. The main use case for this is to change the output
of a single API call within a greater context without needing to exit the context entirely. Any new level will temporarily overwrite any previous context definitions, the previous definitions will be available after exiting the current context.
Note: The following example is for illustration purposes of the context manager. The mix of API calls may not be useful together.
from taegis_sdk_python import GraphQLService
from taegis_sdk_python.services.investigations2.types import InvestigationsV2Arguments
from taegis_sdk_python.services.alerts.types import SearchRequestInput
service = GraphQLService()
with service(environment="delta", tenant_id="00000"):
# Context
# environment: delta
# tenant_id: 00000
with service(output="investigations { id alertsEvidence { id } }")
# Context
# environment: delta
# tenant_id: 00000
# output: investigations { id alertsEvidence { id } }
investigation_results = service.investigations2.query.investigations_v2(InvestigationsV2Arguments(
page=1,
per_page=3,
cql="WHERE deleted_at IS NOT NULL EARLIEST=-90d"
))
# Context
# environment: delta
# tenant_id: 00000
alert_ids = [
alert.id
result for result in investigation_results
alert for alert in result.alerts_evidence
]
with service(output="alerts { list { id metadata { title } status } }"):
# Context
# environment: delta
# tenant_id: 00000
# output: alerts { list { id metadata { title } status } }
alert_results = service.alerts.query.alerts_search_search(SearchRequestInput(
offset=0,
limit=10000,
cql_query=f"FROM alert WHERE resource_id IN ('{'\',\''.join(alert_ids)]}')"
))
# Context
# environment: delta
# tenant_id: 00000
# may be useful for users/applications that have access to a parent/child tenant relationship
with service(tenant_id="00001", output="alerts { list { id metadata { title } status } }"):
# Context
# environment: delta
# tenant_id: 00001
# output: alerts { list { id metadata { title } status } }
alert_results = service.alerts.query.alerts_search_search(SearchRequestInput(
offset=0,
limit=10000,
cql_query=f"FROM alert WHERE resource_id IN ('{'\',\''.join(alert_ids)]}')"
))
with service(environment="charlie", output="email"):
# Context
# environment: charlie
# tenant_id: 00001
# output: email
user = service.users.query.current_tdruser()
# Context
# environment: delta
# tenant_id: 00001
# output: alerts { list { id metadata { title } status } }
# Context
# environment: delta
# tenant_id: 00000
# Context is now completely cleared
Arbitrary Query
The Python SDK can handle user maintained queries/mutations/subscriptions. These will require some basic GraphQL knowledge as well as knowledge of schema. There are 3 parts of a GraphQL query: the endpoint, the output fields and the variables (optional). See Exploring the Schema for more information.
results = service.core.execute_query(
"alertsServiceSearch",
variables={
"in": {
"limit": 3,
"offset": 0,
"cql_query": "FROM alert EARLIEST=-1d"
}
},
output="""
search_id
alerts {
list {
id
metadata {
title
}
status
}
}
"""
)
print(results)
Arbitrary Mutation
results = service.core.execute_mutation(
"createInvestigation",
variables={
"investigation": {
"description": "SDK Test Investigation",
"key_findings": "This is a test.",
"priority": 1
}
},
output="""
id
created_at
created_by_user {
id
given_name
family_name
}
description
key_findings
"""
)
print(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
Custom Query
Advanced users can leverage the power of the SDK to execute custom queries. If an invalid query is passed the system will respond with GraphQLSyntaxError -> Syntax Error
, otherwise the query will be executed and results will be returned as a dictionary of data.
from taegis_sdk_python import GraphQLService
gql_query = """
query investigationsStatusCount {
investigationsStatusCount {
open
closed
active
awaiting_action
suspended
total
}
}
"""
result = service.core.execute(gql_query)
Deprecation Warnings
Deprecated input fields, output fields and endpoints are set to log a warning. For more information, see the docs.
Example:
GraphQL Query `allInvestigations` is deprecated: 'replaced by investigationsSearch'
Output field `activity_logs` is deprecated: 'Not Supported - Use audit logs', removing from default output...
Output field `assignee` is deprecated: 'No longer supported', removing from default output...
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