Lists all acts within a specific session with their current status and execution details.
Parameters:
-
workflow_definition_name
(WorkflowDefinitionName)
–
The name of the workflow definition containing the session.
-
workflow_run_id
(Optional[UuidString], default:
None
)
–
The unique identifier of the workflow run containing the session.
-
session_id
(Optional[UuidString], default:
None
)
–
The unique identifier of the session to list acts for.
-
max_results
(Optional[MaxResults], default:
None
)
–
The maximum number of acts to return in a single response.
-
next_token
(Optional[NextToken], default:
None
)
–
The token for retrieving the next page of results.
-
sort_order
(Optional[SortOrder], default:
None
)
–
The sort order for the returned acts (ascending or descending).
Raises:
Source code in docs_src/capo_nova_act/_services/nova_act.py
| def list_acts(
self,
workflow_definition_name: "capo_nova_act.types.workflow_definition_name.WorkflowDefinitionName",
*,
config_overrides: Optional[NovaActClientConfig] = None,
workflow_run_id: Optional["capo_nova_act.types.uuid_string.UuidString"] = None,
session_id: Optional["capo_nova_act.types.uuid_string.UuidString"] = None,
max_results: Optional["capo_nova_act.types.max_results.MaxResults"] = None,
next_token: Optional["capo_nova_act.types.next_token.NextToken"] = None,
sort_order: Optional["capo_nova_act.types.sort_order.SortOrder"] = None,
) -> "capo_nova_act.types.list_acts_response.ListActsResponse":
"""<p>Lists all acts within a specific session with their current status and execution details.</p>
Args:
workflow_definition_name: <p>The name of the workflow definition containing the session.</p>
workflow_run_id: <p>The unique identifier of the workflow run containing the session.</p>
session_id: <p>The unique identifier of the session to list acts for.</p>
max_results: <p>The maximum number of acts to return in a single response.</p>
next_token: <p>The token for retrieving the next page of results.</p>
sort_order: <p>The sort order for the returned acts (ascending or descending).</p>
Raises:
capo_nova_act.errors.access_denied_exception.AccessDeniedException: <p>You don't have sufficient permissions to perform this action.</p>
capo_nova_act.errors.conflict_exception.ConflictException: <p>The request could not be completed due to a conflict with the current state of the resource.</p>
capo_nova_act.errors.internal_server_exception.InternalServerException: <p>An internal server error occurred. Please try again later.</p>
capo_nova_act.errors.resource_not_found_exception.ResourceNotFoundException: <p>The requested resource was not found.</p>
capo_nova_act.errors.throttling_exception.ThrottlingException: <p>The request was throttled due to too many requests. Please try again later.</p>
capo_nova_act.errors.validation_exception.ValidationException: <p>The input parameters for the request are invalid.</p>
capo_nova_act.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_nova_act.types.list_acts_request.ListActsRequest]",
) -> OperationResponse[
"capo_nova_act.types.list_acts_response.ListActsResponse"
]:
import capo_nova_act._operations.amazon_nova_agents_data_plane.list_acts
output, http_response = (
capo_nova_act._operations.amazon_nova_agents_data_plane.list_acts.list_acts(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListActs")
)
input_: capo_nova_act.types.list_acts_request.ListActsRequest = {
"workflow_definition_name": workflow_definition_name
}
if workflow_run_id is not None:
input_["workflow_run_id"] = workflow_run_id
if session_id is not None:
input_["session_id"] = session_id
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
if sort_order is not None:
input_["sort_order"] = sort_order
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|