Provides summary information about the campaigns under the specified Amazon Connect account.
Raises:
Source code in docs_src/capo_connectcampaignsv2/_services/connect_campaigns_v2.py
| def list_campaigns(
self,
*,
config_overrides: Optional[ConnectCampaignsV2ClientConfig] = None,
max_results: Optional[
"capo_connectcampaignsv2.types.max_results.MaxResults"
] = None,
next_token: Optional[
"capo_connectcampaignsv2.types.next_token.NextToken"
] = None,
filters: Optional[
"capo_connectcampaignsv2.types.campaign_filters.CampaignFilters"
] = None,
) -> "capo_connectcampaignsv2.types.list_campaigns_response.ListCampaignsResponse":
"""Provides summary information about the campaigns under the specified Amazon Connect account.
Raises:
capo_connectcampaignsv2.errors.access_denied_exception.AccessDeniedException: You do not have sufficient access to perform this action.
capo_connectcampaignsv2.errors.internal_server_exception.InternalServerException: Request processing failed because of an error or failure with the service.
capo_connectcampaignsv2.errors.validation_exception.ValidationException: The input fails to satisfy the constraints specified by an AWS service.
capo_connectcampaignsv2.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_connectcampaignsv2.types.list_campaigns_request.ListCampaignsRequest]",
) -> OperationResponse[
"capo_connectcampaignsv2.types.list_campaigns_response.ListCampaignsResponse"
]:
import capo_connectcampaignsv2._operations.amazon_connect_campaign_service_v2.list_campaigns
output, http_response = (
capo_connectcampaignsv2._operations.amazon_connect_campaign_service_v2.list_campaigns.list_campaigns(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("ListCampaigns")
)
input_: capo_connectcampaignsv2.types.list_campaigns_request.ListCampaignsRequest = {}
if max_results is not None:
input_["max_results"] = max_results
if next_token is not None:
input_["next_token"] = next_token
if filters is not None:
input_["filters"] = filters
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|