Module pagers (1.93.1)

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

Classes

ListModelMonitoringJobsAsyncPager

ListModelMonitoringJobsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse,
    *,
    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_model_monitoring_jobs requests.

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

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

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

ListModelMonitoringJobsPager

ListModelMonitoringJobsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitoringJobsResponse,
    *,
    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_model_monitoring_jobs requests.

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

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

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

ListModelMonitorsAsyncPager

ListModelMonitorsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse,
    *,
    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_model_monitors requests.

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

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

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

ListModelMonitorsPager

ListModelMonitorsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.ListModelMonitorsResponse,
    *,
    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_model_monitors requests.

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

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

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

SearchModelMonitoringAlertsAsyncPager

SearchModelMonitoringAlertsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse,
    *,
    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 search_model_monitoring_alerts requests.

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

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

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

SearchModelMonitoringAlertsPager

SearchModelMonitoringAlertsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringAlertsResponse,
    *,
    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 search_model_monitoring_alerts requests.

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

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

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

SearchModelMonitoringStatsAsyncPager

SearchModelMonitoringStatsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse,
    *,
    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 search_model_monitoring_stats requests.

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

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

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

SearchModelMonitoringStatsPager

SearchModelMonitoringStatsPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsRequest,
    response: google.cloud.aiplatform_v1beta1.types.model_monitoring_service.SearchModelMonitoringStatsResponse,
    *,
    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 search_model_monitoring_stats requests.

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

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

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