Module pagers (1.27.1)

Version 1.27.1

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API documentation for aiplatform_v1beta1.services.dataset_service.pagers module.

Classes

ListAnnotationsAsyncPager

ListAnnotationsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_annotations requests.

This class thinly wraps an initial ListAnnotationsResponse object, and provides an __aiter__ method to iterate through its annotations field.

If there are more pages, the __aiter__ method will make additional ListAnnotations requests and continue to iterate through the annotations field on the corresponding responses.

All the usual ListAnnotationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListAnnotationsPager

ListAnnotationsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListAnnotationsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_annotations requests.

This class thinly wraps an initial ListAnnotationsResponse object, and provides an __iter__ method to iterate through its annotations field.

If there are more pages, the __iter__ method will make additional ListAnnotations requests and continue to iterate through the annotations field on the corresponding responses.

All the usual ListAnnotationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDataItemsAsyncPager

ListDataItemsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_data_items requests.

This class thinly wraps an initial ListDataItemsResponse object, and provides an __aiter__ method to iterate through its data_items field.

If there are more pages, the __aiter__ method will make additional ListDataItems requests and continue to iterate through the data_items field on the corresponding responses.

All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDataItemsPager

ListDataItemsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_data_items requests.

This class thinly wraps an initial ListDataItemsResponse object, and provides an __iter__ method to iterate through its data_items field.

If there are more pages, the __iter__ method will make additional ListDataItems requests and continue to iterate through the data_items field on the corresponding responses.

All the usual ListDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDatasetsAsyncPager

ListDatasetsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_datasets requests.

This class thinly wraps an initial ListDatasetsResponse object, and provides an __aiter__ method to iterate through its datasets field.

If there are more pages, the __aiter__ method will make additional ListDatasets requests and continue to iterate through the datasets field on the corresponding responses.

All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListDatasetsPager

ListDatasetsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListDatasetsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_datasets requests.

This class thinly wraps an initial ListDatasetsResponse object, and provides an __iter__ method to iterate through its datasets field.

If there are more pages, the __iter__ method will make additional ListDatasets requests and continue to iterate through the datasets field on the corresponding responses.

All the usual ListDatasetsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListSavedQueriesAsyncPager

ListSavedQueriesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_saved_queries requests.

This class thinly wraps an initial ListSavedQueriesResponse object, and provides an __aiter__ method to iterate through its saved_queries field.

If there are more pages, the __aiter__ method will make additional ListSavedQueries requests and continue to iterate through the saved_queries field on the corresponding responses.

All the usual ListSavedQueriesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

ListSavedQueriesPager

ListSavedQueriesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.ListSavedQueriesResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_saved_queries requests.

This class thinly wraps an initial ListSavedQueriesResponse object, and provides an __iter__ method to iterate through its saved_queries field.

If there are more pages, the __iter__ method will make additional ListSavedQueries requests and continue to iterate through the saved_queries field on the corresponding responses.

All the usual ListSavedQueriesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchDataItemsAsyncPager

SearchDataItemsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through search_data_items requests.

This class thinly wraps an initial SearchDataItemsResponse object, and provides an __aiter__ method to iterate through its data_item_views field.

If there are more pages, the __aiter__ method will make additional SearchDataItems requests and continue to iterate through the data_item_views field on the corresponding responses.

All the usual SearchDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

SearchDataItemsPager

SearchDataItemsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsRequest,
    response: google.cloud.aiplatform_v1beta1.types.dataset_service.SearchDataItemsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through search_data_items requests.

This class thinly wraps an initial SearchDataItemsResponse object, and provides an __iter__ method to iterate through its data_item_views field.

If there are more pages, the __iter__ method will make additional SearchDataItems requests and continue to iterate through the data_item_views field on the corresponding responses.

All the usual SearchDataItemsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.