get_fixture ¶

get_fixture(
    fixture_id: FixtureId,
    *,
    config_overrides: Optional[ElementalInferenceClientConfig] = None,
) -> GetFixtureResponse

Retrieves information about the specified fixture (a sports event, such as a specific basketball game). You obtain a fixtureId from SearchFixtures, or from the clipping output of a feed.

Parameters:

fixture_id (FixtureId) –

The ID of the fixture to retrieve, as returned by SearchFixtures.

Raises:

AccessDeniedException –

You do not have sufficient access to perform this action.
GatewayTimedOutException –

The request timed out before the service returned a response. This is a temporary condition. Retry the request. If the problem persists, contact AWS Support.
InternalServerErrorException –

An internal server error occurred. This is a temporary condition and the request can be retried. If the problem persists, contact AWS Support.
ResourceNotFoundException –

The resource specified in the action doesn't exist.
ServiceUnavailableException –

The service is temporarily unable to handle the request. Retry the request. If the problem persists, contact AWS Support.
TooManyRequestException –

The request was denied due to request throttling. Too many requests have been made within a given time period. Reduce the frequency of requests and use exponential backoff when retrying.
ValidationException –

The input fails to satisfy the constraints specified by the service. Check the error message for details about which parameter or field is invalid and correct the request before retrying.
UnknownServiceError –

The service returned an error code this client does not model.

Source code in docs_src/capo_elementalinference/_services/elemental_inference.py

def get_fixture(
    self,
    fixture_id: "capo_elementalinference.types.fixture_id.FixtureId",
    *,
    config_overrides: Optional[ElementalInferenceClientConfig] = None,
) -> "capo_elementalinference.types.get_fixture_response.GetFixtureResponse":
    """<p>Retrieves information about the specified fixture (a sports event, such as a specific basketball game). You obtain a fixtureId from SearchFixtures, or from the clipping output of a feed. </p>

    Args:
        fixture_id: <p>The ID of the fixture to retrieve, as returned by SearchFixtures.</p>

    Raises:
        capo_elementalinference.errors.access_denied_exception.AccessDeniedException: <p>You do not have sufficient access to perform this action.</p>
        capo_elementalinference.errors.gateway_timed_out_exception.GatewayTimedOutException: <p>The request timed out before the service returned a response. This is a temporary condition. Retry the request. If the problem persists, contact AWS Support. </p>
        capo_elementalinference.errors.internal_server_error_exception.InternalServerErrorException: <p>An internal server error occurred. This is a temporary condition and the request can be retried. If the problem persists, contact AWS Support. </p>
        capo_elementalinference.errors.resource_not_found_exception.ResourceNotFoundException: <p>The resource specified in the action doesn't exist.</p>
        capo_elementalinference.errors.service_unavailable_exception.ServiceUnavailableException: <p>The service is temporarily unable to handle the request. Retry the request. If the problem persists, contact AWS Support. </p>
        capo_elementalinference.errors.too_many_request_exception.TooManyRequestException: <p>The request was denied due to request throttling. Too many requests have been made within a given time period. Reduce the frequency of requests and use exponential backoff when retrying. </p>
        capo_elementalinference.errors.validation_exception.ValidationException: <p>The input fails to satisfy the constraints specified by the service. Check the error message for details about which parameter or field is invalid and correct the request before retrying. </p>
        capo_elementalinference.errors.UnknownServiceError: The service returned an error code this client does not model.
    """

    def _handler(
        req: "OperationRequest[capo_elementalinference.types.get_fixture_request.GetFixtureRequest]",
    ) -> OperationResponse[
        "capo_elementalinference.types.get_fixture_response.GetFixtureResponse"
    ]:
        import capo_elementalinference._operations.elemental_inference.get_fixture

        output, http_response = (
            capo_elementalinference._operations.elemental_inference.get_fixture.get_fixture(
                req.options, req.input
            )
        )
        return OperationResponse(output=output, response=http_response)

    interceptors_, options_ = self.operation_options(
        config_overrides, OperationLogging("GetFixture")
    )
    input_: capo_elementalinference.types.get_fixture_request.GetFixtureRequest = {
        "fixture_id": fixture_id
    }

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