list_test_case_executions ¶

def list_test_case_executions(
    self,
    instance_id: "capo_connect.types.instance_id.InstanceId",
    *,
    config_overrides: Optional[ConnectClientConfig] = None,
    test_case_id: Optional["capo_connect.types.test_case_id.TestCaseId"] = None,
    test_case_name: Optional[
        "capo_connect.types.test_case_name.TestCaseName"
    ] = None,
    start_time: Optional[
        "capo_connect.types.epoch_milliseconds.EpochMilliseconds"
    ] = None,
    end_time: Optional[
        "capo_connect.types.epoch_milliseconds.EpochMilliseconds"
    ] = None,
    status: Optional[
        "capo_connect.types.test_case_execution_status.TestCaseExecutionStatus"
    ] = None,
    next_token: Optional["capo_connect.types.next_token.NextToken"] = None,
    max_results: Optional["capo_connect.types.max_result100.MaxResult100"] = None,
) -> "capo_connect.types.list_test_case_executions_response.ListTestCaseExecutionsResponse":
    """<p>Lists all test case executions and allows filtering by test case id, test case name, start time, end time or status of the execution for the specified Amazon Connect instance.</p>

    Args:
        instance_id: <p>The identifier of the Amazon Connect instance.</p>
        test_case_id: <p>Filter executions by test case identifier.</p>
        test_case_name: <p>Filter executions by test case name.</p>
        start_time: <p>Filter executions that started after this time.</p>
        end_time: <p>Filter executions that started before this time.</p>
        status: <p>Filter executions by status.</p>
        next_token: <p>The token for the next set of results. Use the value returned in the previous response in the next request to retrieve the next set of results.</p>
        max_results: <p>The maximum number of results to return per page.</p>

    Raises:
        capo_connect.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient permissions to perform this action.</p>
        capo_connect.errors.internal_service_exception.InternalServiceException: <p>Request processing failed because of an error or failure with the service.</p>
        capo_connect.errors.invalid_parameter_exception.InvalidParameterException: <p>One or more of the specified parameters are not valid.</p>
        capo_connect.errors.invalid_request_exception.InvalidRequestException: <p>The request is not valid.</p>
        capo_connect.errors.resource_not_found_exception.ResourceNotFoundException: <p>The specified resource was not found.</p>
        capo_connect.errors.throttling_exception.ThrottlingException: <p>The throttling limit has been exceeded.</p>
        capo_connect.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_connect.types.list_test_case_executions_request.ListTestCaseExecutionsRequest]",
    ) -> OperationResponse[
        "capo_connect.types.list_test_case_executions_response.ListTestCaseExecutionsResponse"
    ]:
        import capo_connect._operations.amazon_connect_service.list_test_case_executions

        output, http_response = (
            capo_connect._operations.amazon_connect_service.list_test_case_executions.list_test_case_executions(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("ListTestCaseExecutions")
    )
    input_: capo_connect.types.list_test_case_executions_request.ListTestCaseExecutionsRequest = {
        "instance_id": instance_id
    }
    if test_case_id is not None:
        input_["test_case_id"] = test_case_id
    if test_case_name is not None:
        input_["test_case_name"] = test_case_name
    if start_time is not None:
        input_["start_time"] = start_time
    if end_time is not None:
        input_["end_time"] = end_time
    if status is not None:
        input_["status"] = status
    if next_token is not None:
        input_["next_token"] = next_token
    if max_results is not None:
        input_["max_results"] = max_results

    response = execute_pipeline(
        OperationRequest(input=input_, options=options_),
        handler=_handler,
        interceptors=list(interceptors_),
    )
    response.response.close()
    return response.output