Operation ID Description
Search for activities by name. Returns all supported activities if no filter is specified.
Search for activities by name. Returns all supported activities if no filter is specified.
Executes an on-demand Workflow, the body is JSON used to trigger the execution, the response the execution ID(s)
Executes an on-demand Workflow, the body is JSON used to trigger the execution, the response the execution ID(s)
Executes an on-demand Workflow with mocks
Allows a user to resume/retry a failed workflow execution.
Get execution result of a given execution
Deprovisions a system definition that was previously provisioned on the target CID
Promote a version of a system definition
Provisions a system definition onto the target CID by using the template and provided parameters
Search workflow definitions based on the provided filter
Search for triggers by namespaced identifier, i.e. FalconAudit
, Detection
, or FalconAudit/Detection/Status
. Returns all triggers if no filter is specified.
Search workflow executions based on the provided filter
Exports a workflow definition for the given definition ID
Imports a workflow definition based on the provided model
Updates a workflow definition based on the provided model.
Gets one or more specific human inputs by their IDs.
Provides an input in response to a human input action. Depending on action configuration, one or more of Approve, Decline, and/or Escalate are permitted.
WARNING
client_id
and client_secret
are keyword arguments that contain your CrowdStrike API credentials. Please note that all examples below do not hard code these values. (These values are ingested as strings.)
CrowdStrike does not recommend hard coding API credentials or customer identifiers within source code.
Search for activities by name. Returns all supported activities if no filter is specified.
search_activities
Method Route
/workflows/combined/activities/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
filter query string FQL query specifying filter parameters.
offset query string Starting pagination offset of records to return.
parameters query dictionary Full query string parameters payload in JSON format.
limit query integer Maximum number of records to return.
sort query string Sort items by providing a comma separated list of property and direction (eg name.desc, time.asc). If direction is omitted, defaults to descending.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.search_activities(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowActivitiesCombined(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("WorkflowActivitiesCombined" ,
filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
Search for activities by name. Returns all supported activities if no filter specified.
search_activities_content
Method Route
/workflows/combined/activity-content/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
filter query string FQL query specifying filter parameters.
limit query integer Maximum number of records to return.
offset query string Starting pagination offset of records to return.
parameters query dictionary Full query string parameters payload in JSON format.
sort query string Sort items by providing a comma separated list of property and direction (eg name.desc,time.asc). If direction is omitted, defaults to descending.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.search_activities_content(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowActivitiesContentCombined(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("WorkflowActivitiesContentCombined" ,
filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
Execute an on-demand workflow. Response will contain the execution ID.
execute
Method Route
/workflows/entities/execute/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
definition_id query string or list of strings Definition ID to execute, either a name or an ID can be specified.
execution_cid query string or list of strings CID(s) to execute on.
name query string Workflow name to execute, either a name or an ID can be specified.
key query string Key used to help deduplicate executions, if unset a new UUID is used
depth query integer Used to record the execution depth to help limit execution loops when a workflow triggers another. The maximum depth is 4.
parameters query dictionary Full query string parameters payload in JSON format.
source_event_url query string Used to record a URL to the source that led to triggering this workflow
body body string Full body payload in JSON format.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
workflow_schema = {
"schema details" : "go here"
}
id_list = 'CID1,CID2,CID3'
response = falcon.execute(definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=workflow_schema
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
workflow_schema = {
"schema details" : "go here"
}
id_list = 'CID1,CID2,CID3'
response = falcon.WorkflowExecute(definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=workflow_schema
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
workflow_schema = {
"schema details" : "go here"
}
id_list = 'CID1,CID2,CID3'
response = falcon.command("WorkflowExecute" ,
definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=workflow_schema
)
print(response)
Execute an on-demand workflow. Response will contain the execution ID.
execute_internal
Method Route
/workflows/entities/execute/internal/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
batch_size query integer Used to set the size of the batch.
definition_id query string or list of strings Definition ID to execute, either a name or an ID can be specified.
execution_cid query string or list of strings CID(s) to execute on.
name query string Workflow name to execute, either a name or an ID can be specified.
key query string Key used to help deduplicate executions, if unset a new UUID is used
depth query integer Used to record the execution depth to help limit execution loops when a workflow triggers another. The maximum depth is 4.
parameters query dictionary Full query string parameters payload in JSON format.
source_event_url query string Used to record a URL to the source that led to triggering this workflow
body body string Full body payload in JSON format.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
workflow_schema = {
"schema details" : "go here"
}
id_list = 'CID1,CID2,CID3'
response = falcon.execute_internal(batch_size=integer,
definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=workflow_schema
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
workflow_schema = {
"schema details" : "go here"
}
id_list = 'CID1,CID2,CID3'
response = falcon.WorkflowExecuteInternal(batch_size=integer,
definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=workflow_schema
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
workflow_schema = {
"schema details" : "go here"
}
id_list = 'CID1,CID2,CID3'
response = falcon.command("WorkflowExecuteInternal" ,
batch_size=integer,
definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=workflow_schema
)
print(response)
Execute an on-demand workflow with mocks.
mock_execute
Method Route
/workflows/entities/execute/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
definition_id query string or list of strings Definition ID to execute, either a name or an ID can be specified.
execution_cid query string or list of strings CID(s) to execute on.
name query string Workflow name to execute, either a name or an ID can be specified.
key query string Key used to help deduplicate executions, if unset a new UUID is used
depth query integer Used to record the execution depth to help limit execution loops when a workflow triggers another. The maximum depth is 4.
parameters query dictionary Full query string parameters payload in JSON format.
source_event_url query string Used to record a URL to the source that led to triggering this workflow
body body string Full body payload in JSON format containing the schema definition, mocks, and the on demand trigger.
validate_only query boolean Prevent execution after validating mocks against definition.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
body_payload = {
"definition" {
Workflow schema
},
"mocks" : "string" ,
"on_demand_trigger" : "string"
}
id_list = 'CID1,CID2,CID3'
response = falcon.mock_execute(definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=body_payload,
validate_only=boolean
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
body_payload = {
"definition" {
Workflow schema
},
"mocks" : "string" ,
"on_demand_trigger" : "string"
}
id_list = 'CID1,CID2,CID3'
response = falcon.WorkflowMockExecute(definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=body_payload,
validate_only=boolean
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
body_payload = {
"definition" {
Workflow schema
},
"mocks" : "string" ,
"on_demand_trigger" : "string"
}
id_list = 'CID1,CID2,CID3'
response = falcon.command("WorkflowMockExecute" ,
definition_id=["string" , "string" ],
execution_cid=id_list,
name="string" ,
key="string" ,
depth=integer,
source_event_url="string" ,
body=body_payload,
validate_only=boolean
)
print(response)
Allows a user to resume/retry a failed workflow execution.
execution_action
Method Route
/workflows/entities/execution-actions/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
action_name query string Specify one of these actions: - resume
: resume/retry the workflow execution(s) specified in ids
action_parameters body list of dictionaries List of actions to perform.
body body dictionary Full body payload in JSON format. Not required when using other keywords.
ids body string or list of strings Execution IDs.
name body (action_parameters) string Action parameter name.
value body (action_parameters) string Action parameter value.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
response = falcon.execution_action(action_name="string" ,
ids="string" ,
name="string" ,
value="string"
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
response = falcon.WorkflowExecutionsAction(action_name="string" ,
ids="string" ,
name="string" ,
value="string"
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
body_payload = {
"action_parameters" : [
{
"name" : "string" ,
"value" : "string"
}
],
"ids" : [
"string"
]
}
response = falcon.command("WorkflowExecutionsAction" , action_name="string" , body=body_payload)
print(response)
Get execution result of a given execution
execution_results
Method Route
/workflows/entities/execution-results/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
ids query string or list of strings Workflow execution ID to return results for.
parameters query dictionary Full query string parameters payload in JSON format.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
id_list = 'ID1,ID2,ID3'
response = falcon.execution_results(ids=id_list)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
id_list = 'ID1,ID2,ID3'
response = falcon.WorkflowExecutionResults(ids=id_list)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
id_list = 'ID1,ID2,ID3'
response = falcon.command("WorkflowExecutionResults" , ids=id_list)
print(response)
Deprovisions a system definition that was previously provisioned on the target CID.
deprovision
Method Route
/workflows/system-definitions/deprovision/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
body body dictionary Full body payload in JSON format. Not required when using other keywords.
definition_id body string Workflow definition ID.
deprovision_all body boolean Flag indicating if all workflows should be deprovisioned.
template_id body string Template ID.
template_name body string Template name.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
response = falcon.deprovision(definition_id="string" ,
deprovision_all=boolean,
template_id="string" ,
template_name="string" ,
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
response = falcon.WorkflowSystemDefinitionsDeProvision(definition_id="string" ,
deprovision_all=boolean,
template_id="string" ,
template_name="string" ,
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
body_payload = {
"definition_id" : "string" ,
"deprovision_all" : boolean,
"template_id" : "string" ,
"template_name" : "string"
}
response = falcon.command("WorkflowSystemDefinitionsDeProvision" , body=body_payload)
print(response)
Promote a version of a system definition.
Tenant must be already provisioned. This allows the caller to apply an updated template
version on a CID and expects all parameters to be supplied. If the template supports
multi-instance, the customer scope definition ID must be supplied to determine which
customer workflow should be update.
promote
Method Route
/workflows/system-definitions/promote/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
activities body dictionary Dictionary of workflow activities.
body body dictionary Full body payload in JSON format. Not required when using other keywords.
conditions body list of dictionaries List of workflow conditions.
customer_definition_id body string Customer definition ID.
name body string Name of the workflow.
parameters body dictionary Overrides specified activities, conditions and trigger keywords.
template_id body string Template ID.
template_name body string Template name.
template_version body string Template version.
trigger body dictionary Workflow trigger definition.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
activities = {
"configuration" : [
{
"node_id" : "string" ,
"properties" : {}
}
],
"selection" : [
{
"id" : "string" ,
"properties" : {},
"source" : "string"
}
]
}
conditions = [
{
"fields" : [
{
"name" : "string" ,
"operator" : "string"
}
],
"node_id" : "string"
}
]
trigger = {
"fields" : {},
"node_id" : "string"
}
response = falcon.promote(activities=activities,
conditions=conditions,
customer_definition_id="string" ,
name="string" ,
template_id="string" ,
template_name="string" ,
template_version="string" ,
trigger=trigger
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
activities = {
"configuration" : [
{
"node_id" : "string" ,
"properties" : {}
}
],
"selection" : [
{
"id" : "string" ,
"properties" : {},
"source" : "string"
}
]
}
conditions = [
{
"fields" : [
{
"name" : "string" ,
"operator" : "string"
}
],
"node_id" : "string"
}
]
trigger = {
"fields" : {},
"node_id" : "string"
}
response = falcon.WorkflowSystemDefinitionsPromote(activities=activities,
conditions=conditions,
customer_definition_id="string" ,
name="string" ,
template_id="string" ,
template_name="string" ,
template_version="string" ,
trigger=trigger
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
activities = {
"configuration" : [
{
"node_id" : "string" ,
"properties" : {}
}
],
"selection" : [
{
"id" : "string" ,
"properties" : {},
"source" : "string"
}
]
}
conditions = [
{
"fields" : [
{
"name" : "string" ,
"operator" : "string"
}
],
"node_id" : "string"
}
]
trigger = {
"fields" : {},
"node_id" : "string"
}
body_payload = {
"customer_definition_id" : "string" ,
"name" : "string" ,
"parameters" : {
"activities" : activities,
"conditions" : conditions,
"trigger" : trigger
},
"template_id" : "string" ,
"template_name" : "string" ,
"template_version" : "string"
}
response = falcon.command("WorkflowSystemDefinitionsPromote" , body=body_payload)
print(response)
Provisions a system definition onto the target CID by using the template and provided parameters.
provision
Method Route
/workflows/system-definitions/provision/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
activities body dictionary Dictionary of workflow activities.
body body dictionary Full body payload in JSON format. Not required when using other keywords.
conditions body list of dictionaries List of workflow conditions.
customer_definition_id body string Customer definition ID.
name body string Workflow name.
parameters body dictionary Overrides specified activities, conditions and trigger keywords.
template_id body string Template ID.
template_name body string Template name.
template_version body string Template version.
trigger body dictionary Workflow trigger definition.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
activities = {
"configuration" : [
{
"node_id" : "string" ,
"properties" : {}
}
],
"selection" : [
{
"id" : "string" ,
"properties" : {},
"source" : "string"
}
]
}
conditions = [
{
"fields" : [
{
"name" : "string" ,
"operator" : "string"
}
],
"node_id" : "string"
}
]
trigger = {
"fields" : {},
"node_id" : "string"
}
response = falcon.provision(activities=activities,
conditions=conditions,
customer_definition_id="string" ,
name="string" ,
template_id="string" ,
template_name="string" ,
template_version="string" ,
trigger=trigger
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
activities = {
"configuration" : [
{
"node_id" : "string" ,
"properties" : {}
}
],
"selection" : [
{
"id" : "string" ,
"properties" : {},
"source" : "string"
}
]
}
conditions = [
{
"fields" : [
{
"name" : "string" ,
"operator" : "string"
}
],
"node_id" : "string"
}
]
trigger = {
"fields" : {},
"node_id" : "string"
}
response = falcon.WorkflowSystemDefinitionsProvision(activities=activities,
conditions=conditions,
customer_definition_id="string" ,
name="string" ,
template_id="string" ,
template_name="string" ,
template_version="string" ,
trigger=trigger
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID, client_secret=CLIENT_SECRET)
activities = {
"configuration" : [
{
"node_id" : "string" ,
"properties" : {}
}
],
"selection" : [
{
"id" : "string" ,
"properties" : {},
"source" : "string"
}
]
}
conditions = [
{
"fields" : [
{
"name" : "string" ,
"operator" : "string"
}
],
"node_id" : "string"
}
]
trigger = {
"fields" : {},
"node_id" : "string"
}
body_payload = {
"customer_definition_id" : "string" ,
"name" : "string" ,
"parameters" : {
"activities" : activities,
"conditions" : conditions,
"trigger" : trigger
},
"template_id" : "string" ,
"template_name" : "string" ,
"template_version" : "string"
}
response = falcon.command("WorkflowSystemDefinitionsProvision" , body=body_payload)
print(response)
Search workflow definitions based on the provided filter.
search_definitions
Method Route
/workflows/combined/definitions/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
filter query string FQL query specifying filter parameters.
offset query string Starting pagination offset of records to return.
parameters query dictionary Full query string parameters payload in JSON format.
limit query integer Maximum number of records to return.
sort query string Sort items by providing a comma separated list of property and direction (eg name.desc, time.asc). If direction is omitted, defaults to descending.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.search_definitions(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowDefinitionsCombined(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("WorkflowDefinitionsCombined" ,
filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
Search workflow executions based on the provided filter.
search_executions
Method Route
/workflows/combined/executions/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
filter query string FQL query specifying filter parameters.
offset query string Starting pagination offset of records to return.
parameters query dictionary Full query string parameters payload in JSON format.
limit query integer Maximum number of records to return.
sort query string Sort items by providing a comma separated list of property and direction (eg name.desc, time.asc). If direction is omitted, defaults to descending.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.search_executions(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowExecutionsCombined(filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("WorkflowExecutionsCombined" ,
filter="string" ,
offset="string" ,
limit=integer,
sort="string"
)
print(response)
Search for triggers by namespaced identifier, i.e. FalconAudit
, Detection
, or FalconAudit/Detection/Status
. Returns all triggers if no filter is specified.
search_triggers
Method Route
/workflows/combined/triggers/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
filter query string FQL query specifying filter parameters.
parameters query dictionary Full query string parameters payload in JSON format.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.search_activities(filter="string" )
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowActivitiesCombined(filter="string" )
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("WorkflowActivitiesCombined" , filter="string" )
print(response)
Exports a workflow definition for the given definition ID.
export_definition
Method Route
/workflows/entities/definitions/export/v1
Consumes: application/json
Produces: application/yaml
Name Service Uber Type Data type Description
id query string ID of workflow definitions to return details for.
parameters query dictionary Full query string parameters payload in JSON format.
sanitize query boolean Sanitize PII from workflow before it is exported.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.export_definition(id="string" , sanitize=boolean)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowDefinitionsExport(id="string" , sanitize=boolean)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.command("WorkflowDefinitionsExport" , id="string" , sanitize=boolean)
print(response)
Imports a workflow definition based on the provided model
import_definition
Method Route
/workflows/entities/definitions/import/v1
Consumes: multipart/form-data
Produces: application/json
Name Service Uber Type Data type Description
data_file formData file A workflow definition in YAML format to import.
name query string Workflow name to override.
parameters query dictionary Full query string parameters payload in JSON format.
validate_only query boolean When enabled, prevents saving workflow after validating.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
with open("filename.yml" , "r" ) as yaml_file:
response = falcon.import_definition(name="string" , validate_only=boolean, data_file=yaml_file)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
with open("filename.yml" , "r" ) as yaml_file:
response = falcon.WorkflowDefinitionsImport(name="string" ,
validate_only=boolean,
data_file=yaml_file
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
with open("filename.yml" , "r" ) as yaml_file:
response = falcon.command("WorkflowDefinitionsImport" ,
name="string" ,
validate_only=boolean,
data_file=yaml_file
)
print(response)
Updates a workflow definition based on the provided model.
WorkflowDefinitionsUpdate
Method Route
/workflows/entities/definitions/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
body body dictionary Full workflow definition with all parameters in JSON format.
change_log body string Workflow revision change log comment.
definition body dictionary Workflow definition parameters.
flight_control body dictionary Workflow flight control functionality definitions.
id body dictionary Workflow ID to update.
parameters query dictionary Full query string parameters payload in JSON format.
validate_only query boolean When enabled, prevents saving workflow after validating.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
workflow_definition = {
"Workflow definition in JSON format"
}
fc_params = {
"all_cids" : boolean,
"excluded_cids" : [
"string"
],
"include_parent_cid" : boolean,
"selected_cids" : [
"string"
]
}
response = falcon.WorkflowDefinitionsUpdate(change_log="string" ,
definition=workflow_definition,
flight_control=fc_params,
id="string" ,
validate_only=boolean
)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
workflow_definition = {
"Workflow definition in JSON format"
}
fc_params = {
"all_cids" : boolean,
"excluded_cids" : [
"string"
],
"include_parent_cid" : boolean,
"selected_cids" : [
"string"
]
}
response = falcon.WorkflowDefinitionsUpdate(change_log="string" ,
definition=workflow_definition,
flight_control=fc_params,
id="string" ,
validate_only=boolean
)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
workflow_definition = {
"Workflow definition in JSON format"
}
fc_params = {
"all_cids" : boolean,
"excluded_cids" : [
"string"
],
"include_parent_cid" : boolean,
"selected_cids" : [
"string"
]
}
body_payload = {
"Definition" : workflow_definition,
"change_log" : "string" ,
"enabled" : boolean,
"flight_control" : fc_params,
"id" : "string"
}
response = falcon.command("WorkflowDefinitionsUpdate" , body=body_payload)
print(response)
Gets one or more specific human inputs by their IDs.
get_human_input
Method Route
/workflows/entities/human-inputs/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
ids query string or list of strings ID(s) of human inputs to retrieve.
parameters query dictionary Full query string parameters payload in JSON format.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3'
response = falcon.get_human_input(ids=id_list)
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3'
response = falcon.WorkflowGetHumanInputV1(ids=id_list)
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
id_list = 'ID1,ID2,ID3'
response = falcon.command("WorkflowGetHumanInputV1" , ids=id_list)
print(response)
Provides an input in response to a human input action. Depending on action configuration, one or more of Approve, Decline, and/or Escalate are permitted.
update_human_input
Method Route
/workflows/entities/human-inputs/v1
Consumes: application/json
Produces: application/json
Name Service Uber Type Data type Description
body body dictionary Full body payload in JSON format.
id query string ID of human input to provide an input to.
parameters query dictionary Full query string parameters payload in JSON format.
input body string Input value.
note body string Input note.
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.update_human_input(id="string" , input="string" , note="string" )
print(response)
from falconpy import Workflows
falcon = Workflows(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
response = falcon.WorkflowUpdateHumanInputV1(id="string" , input="string" , note="string" )
print(response)
from falconpy import APIHarnessV2
falcon = APIHarnessV2(client_id=CLIENT_ID,
client_secret=CLIENT_SECRET
)
body_payload = {
"input" : "string" ,
"note" : "string"
}
response = falcon.command("WorkflowUpdateHumanInputV1" , id="string" , body=body_payload)
print(response)