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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.