Ejemplo n.º 1
0
    def __init__(self,
                 method: Callable[..., dataset_service.ListDataItemsResponse],
                 request: dataset_service.ListDataItemsRequest,
                 response: dataset_service.ListDataItemsResponse,
                 *,
                 metadata: Sequence[Tuple[str, str]] = ()):
        """Instantiate the pager.

        Args:
            method (Callable): The method that was originally called, and
                which instantiated this pager.
            request (google.cloud.aiplatform_v1beta1.types.ListDataItemsRequest):
                The initial request object.
            response (google.cloud.aiplatform_v1beta1.types.ListDataItemsResponse):
                The initial response object.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        """
        self._method = method
        self._request = dataset_service.ListDataItemsRequest(request)
        self._response = response
        self._metadata = metadata
Ejemplo n.º 2
0
    def __init__(
        self,
        method: Callable[...,
                         Awaitable[dataset_service.ListDataItemsResponse]],
        request: dataset_service.ListDataItemsRequest,
        response: dataset_service.ListDataItemsResponse,
        *,
        metadata: Sequence[Tuple[str, str]] = ()):
        """Instantiate the pager.

        Args:
            method (Callable): The method that was originally called, and
                which instantiated this pager.
            request (:class:`~.dataset_service.ListDataItemsRequest`):
                The initial request object.
            response (:class:`~.dataset_service.ListDataItemsResponse`):
                The initial response object.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.
        """
        self._method = method
        self._request = dataset_service.ListDataItemsRequest(request)
        self._response = response
        self._metadata = metadata
Ejemplo n.º 3
0
    async def list_data_items(
        self,
        request: dataset_service.ListDataItemsRequest = None,
        *,
        parent: str = None,
        retry: retries.Retry = gapic_v1.method.DEFAULT,
        timeout: float = None,
        metadata: Sequence[Tuple[str, str]] = (),
    ) -> pagers.ListDataItemsAsyncPager:
        r"""Lists DataItems in a Dataset.

        Args:
            request (:class:`google.cloud.aiplatform_v1beta1.types.ListDataItemsRequest`):
                The request object. Request message for
                [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].
            parent (:class:`str`):
                Required. The resource name of the Dataset to list
                DataItems from. Format:
                ``projects/{project}/locations/{location}/datasets/{dataset}``

                This corresponds to the ``parent`` field
                on the ``request`` instance; if ``request`` is provided, this
                should not be set.
            retry (google.api_core.retry.Retry): Designation of what errors, if any,
                should be retried.
            timeout (float): The timeout for this request.
            metadata (Sequence[Tuple[str, str]]): Strings which should be
                sent along with the request as metadata.

        Returns:
            google.cloud.aiplatform_v1beta1.services.dataset_service.pagers.ListDataItemsAsyncPager:
                Response message for
                [DatasetService.ListDataItems][google.cloud.aiplatform.v1beta1.DatasetService.ListDataItems].

                Iterating over this object will yield results and
                resolve additional pages automatically.

        """
        # Create or coerce a protobuf request object.
        # Sanity check: If we got a request object, we should *not* have
        # gotten any keyword arguments that map to the request.
        has_flattened_params = any([parent])
        if request is not None and has_flattened_params:
            raise ValueError("If the `request` argument is set, then none of "
                             "the individual field arguments should be set.")

        request = dataset_service.ListDataItemsRequest(request)

        # If we have keyword arguments corresponding to fields on the
        # request, apply these.
        if parent is not None:
            request.parent = parent

        # Wrap the RPC method; this adds retry and timeout information,
        # and friendly error handling.
        rpc = gapic_v1.method_async.wrap_method(
            self._client._transport.list_data_items,
            default_timeout=5.0,
            client_info=DEFAULT_CLIENT_INFO,
        )

        # Certain fields should be provided within the metadata header;
        # add these here.
        metadata = tuple(metadata) + (gapic_v1.routing_header.to_grpc_metadata(
            (("parent", request.parent), )), )

        # Send the request.
        response = await rpc(
            request,
            retry=retry,
            timeout=timeout,
            metadata=metadata,
        )

        # This method is paged; wrap the response in a pager, which provides
        # an `__aiter__` convenience method.
        response = pagers.ListDataItemsAsyncPager(
            method=rpc,
            request=request,
            response=response,
            metadata=metadata,
        )

        # Done; return the response.
        return response