Module pagers (1.48.0)

Version 1.48.0

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API documentation for aiplatform_v1.services.metadata_service.pagers module.

Classes

ListArtifactsAsyncPager

ListArtifactsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_artifacts requests.

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

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

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

ListArtifactsPager

ListArtifactsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListArtifactsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_artifacts requests.

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

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

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

ListContextsAsyncPager

ListContextsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListContextsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_contexts requests.

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

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

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

ListContextsPager

ListContextsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListContextsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListContextsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_contexts requests.

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

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

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

ListExecutionsAsyncPager

ListExecutionsAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_executions requests.

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

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

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

ListExecutionsPager

ListExecutionsPager(
    method: typing.Callable[
        [...], google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListExecutionsResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_executions requests.

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

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

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

ListMetadataSchemasAsyncPager

ListMetadataSchemasAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_metadata_schemas requests.

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

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

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

ListMetadataSchemasPager

ListMetadataSchemasPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse,
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataSchemasResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_metadata_schemas requests.

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

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

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

ListMetadataStoresAsyncPager

ListMetadataStoresAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse
        ],
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_metadata_stores requests.

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

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

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

ListMetadataStoresPager

ListMetadataStoresPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse,
    ],
    request: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresRequest,
    response: google.cloud.aiplatform_v1.types.metadata_service.ListMetadataStoresResponse,
    *,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
)

A pager for iterating through list_metadata_stores requests.

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

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

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