def __init__(
self,
method: Callable[...,
migration_service.SearchMigratableResourcesResponse],
request: migration_service.SearchMigratableResourcesRequest,
response: migration_service.SearchMigratableResourcesResponse,
*,
metadata: Sequence[Tuple[str, str]] = ()):
"""Instantiate the pager.
Args:
method (Callable): The method that was originally called, and
which instantiated this pager.
request (:class:`~.migration_service.SearchMigratableResourcesRequest`):
The initial request object.
response (:class:`~.migration_service.SearchMigratableResourcesResponse`):
The initial response object.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
self._method = method
self._request = migration_service.SearchMigratableResourcesRequest(
request)
self._response = response
self._metadata = metadata
async def search_migratable_resources(self,
request: migration_service.SearchMigratableResourcesRequest = None,
*,
parent: str = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.SearchMigratableResourcesAsyncPager:
r"""Searches all of the resources in
automl.googleapis.com, datalabeling.googleapis.com and
ml.googleapis.com that can be migrated to Vertex AI's
given location.
Args:
request (:class:`google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesRequest`):
The request object. Request message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
parent (:class:`str`):
Required. The location that the migratable resources
should be searched from. It's the Vertex AI location
that the resources can be migrated to, not the
resources' original location. Format:
``projects/{project}/locations/{location}``
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesAsyncPager:
Response message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
Iterating over this object will yield results and
resolve additional pages automatically.
"""
# Create or coerce a protobuf request object.
# Sanity check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError("If the `request` argument is set, then none of "
"the individual field arguments should be set.")
request = migration_service.SearchMigratableResourcesRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = gapic_v1.method_async.wrap_method(
self._client._transport.search_migratable_resources,
default_timeout=None,
client_info=DEFAULT_CLIENT_INFO,
)
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((
("parent", request.parent),
)),
)
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# This method is paged; wrap the response in a pager, which provides
# an `__aiter__` convenience method.
response = pagers.SearchMigratableResourcesAsyncPager(
method=rpc,
request=request,
response=response,
metadata=metadata,
)
# Done; return the response.
return response
def search_migratable_resources(
self,
request: Union[migration_service.SearchMigratableResourcesRequest, dict] = None,
*,
parent: str = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.SearchMigratableResourcesPager:
r"""Searches all of the resources in
automl.googleapis.com, datalabeling.googleapis.com and
ml.googleapis.com that can be migrated to Vertex AI's
given location.
.. code-block::
from google.cloud import aiplatform_v1beta1
def sample_search_migratable_resources():
# Create a client
client = aiplatform_v1beta1.MigrationServiceClient()
# Initialize request argument(s)
request = aiplatform_v1beta1.SearchMigratableResourcesRequest(
parent="parent_value",
)
# Make the request
page_result = client.search_migratable_resources(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.cloud.aiplatform_v1beta1.types.SearchMigratableResourcesRequest, dict]):
The request object. Request message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
parent (str):
Required. The location that the migratable resources
should be searched from. It's the Vertex AI location
that the resources can be migrated to, not the
resources' original location. Format:
``projects/{project}/locations/{location}``
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.aiplatform_v1beta1.services.migration_service.pagers.SearchMigratableResourcesPager:
Response message for
[MigrationService.SearchMigratableResources][google.cloud.aiplatform.v1beta1.MigrationService.SearchMigratableResources].
Iterating over this object will yield results and
resolve additional pages automatically.
"""
# Create or coerce a protobuf request object.
# Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# Minor optimization to avoid making a copy if the user passes
# in a migration_service.SearchMigratableResourcesRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, migration_service.SearchMigratableResourcesRequest):
request = migration_service.SearchMigratableResourcesRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.search_migratable_resources
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# This method is paged; wrap the response in a pager, which provides
# an `__iter__` convenience method.
response = pagers.SearchMigratableResourcesPager(
method=rpc, request=request, response=response, metadata=metadata,
)
# Done; return the response.
return response
