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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.