Module pagers (1.111.0)

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

Classes

ListFeatureGroupsAsyncPager

ListFeatureGroupsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

A pager for iterating through list_feature_groups requests.

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

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

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

ListFeatureGroupsPager

ListFeatureGroupsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureGroupsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

A pager for iterating through list_feature_groups requests.

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

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

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

ListFeatureMonitorJobsAsyncPager

ListFeatureMonitorJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

A pager for iterating through list_feature_monitor_jobs requests.

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

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

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

ListFeatureMonitorJobsPager

ListFeatureMonitorJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorJobsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

A pager for iterating through list_feature_monitor_jobs requests.

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

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

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

ListFeatureMonitorsAsyncPager

ListFeatureMonitorsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

A pager for iterating through list_feature_monitors requests.

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

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

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

ListFeatureMonitorsPager

ListFeatureMonitorsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsRequest,
    response: google.cloud.aiplatform_v1beta1.types.feature_registry_service.ListFeatureMonitorsResponse,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

A pager for iterating through list_feature_monitors requests.

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

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

All the usual ListFeatureMonitorsResponse 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: typing.Callable[
        [...],
        typing.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,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary_async.AsyncRetry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

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: typing.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,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
)

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.