Module pagers (1.121.0)

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

Classes

ListRagCorporaAsyncPager

ListRagCorporaAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse,
    *,
    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_rag_corpora requests.

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

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

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

ListRagCorporaPager

ListRagCorporaPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagCorporaResponse,
    *,
    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_rag_corpora requests.

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

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

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

ListRagFilesAsyncPager

ListRagFilesAsyncPager(
    method: typing.Callable[
        [...],
        typing.Awaitable[
            google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse
        ],
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse,
    *,
    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_rag_files requests.

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

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

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

ListRagFilesPager

ListRagFilesPager(
    method: typing.Callable[
        [...],
        google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse,
    ],
    request: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesRequest,
    response: google.cloud.aiplatform_v1beta1.types.vertex_rag_data_service.ListRagFilesResponse,
    *,
    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_rag_files requests.

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

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

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