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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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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,
*,
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, 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.