Retrieve the results of a predictive inbox placement test.
Parameters:
-
report_id
(ReportId)
–
A unique string that identifies the predictive inbox placement test.
Raises:
Source code in docs_src/capo_pinpoint_email/_services/pinpoint_email.py
| def get_deliverability_test_report(
self,
report_id: "capo_pinpoint_email.types.report_id.ReportId",
*,
config_overrides: Optional[PinpointEmailClientConfig] = None,
) -> "capo_pinpoint_email.types.get_deliverability_test_report_response.GetDeliverabilityTestReportResponse":
"""<p>Retrieve the results of a predictive inbox placement test.</p>
Args:
report_id: <p>A unique string that identifies the predictive inbox placement test.</p>
Raises:
capo_pinpoint_email.errors.bad_request_exception.BadRequestException: <p>The input you provided is invalid.</p>
capo_pinpoint_email.errors.not_found_exception.NotFoundException: <p>The resource you attempted to access doesn't exist.</p>
capo_pinpoint_email.errors.too_many_requests_exception.TooManyRequestsException: <p>Too many requests have been made to the operation.</p>
capo_pinpoint_email.errors.UnknownServiceError: The service returned an error code this client does not model.
"""
def _handler(
req: "OperationRequest[capo_pinpoint_email.types.get_deliverability_test_report_request.GetDeliverabilityTestReportRequest]",
) -> OperationResponse[
"capo_pinpoint_email.types.get_deliverability_test_report_response.GetDeliverabilityTestReportResponse"
]:
import capo_pinpoint_email._operations.amazon_pinpoint_email_service.get_deliverability_test_report
output, http_response = (
capo_pinpoint_email._operations.amazon_pinpoint_email_service.get_deliverability_test_report.get_deliverability_test_report(
req.options, req.input
)
)
return OperationResponse(output=output, response=http_response)
interceptors_, options_ = self.operation_options(
config_overrides, OperationLogging("GetDeliverabilityTestReport")
)
input_: capo_pinpoint_email.types.get_deliverability_test_report_request.GetDeliverabilityTestReportRequest = {
"report_id": report_id
}
response = execute_pipeline(
OperationRequest(input=input_, options=options_),
handler=_handler,
interceptors=list(interceptors_),
)
response.response.close()
return response.output
|