Module pagers (1.4.3)

Version 1.4.3

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

Classes

ListEntityTypesAsyncPager

ListEntityTypesAsyncPager(
    method: Callable[
        [...],
        Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through list_entity_types requests.

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

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

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

ListEntityTypesPager

ListEntityTypesPager(
    method: Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListEntityTypesResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through list_entity_types requests.

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

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

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

ListFeaturesAsyncPager

ListFeaturesAsyncPager(
    method: Callable[
        [...],
        Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through list_features requests.

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

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

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

ListFeaturesPager

ListFeaturesPager(
    method: Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturesResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through list_features requests.

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

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

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

ListFeaturestoresAsyncPager

ListFeaturestoresAsyncPager(
    method: Callable[
        [...],
        Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through list_featurestores requests.

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

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

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

ListFeaturestoresPager

ListFeaturestoresPager(
    method: Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.ListFeaturestoresResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through list_featurestores requests.

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

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

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

SearchFeaturesAsyncPager

SearchFeaturesAsyncPager(
    method: Callable[
        [...],
        Awaitable[
            google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through search_features requests.

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

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

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

SearchFeaturesPager

SearchFeaturesPager(
    method: Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesRequest,
    response: google.cloud.aiplatform_v1beta1.types.featurestore_service.SearchFeaturesResponse,
    *,
    metadata: Sequence[Tuple[str, str]] = ()
)

A pager for iterating through search_features requests.

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

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

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