/
base.py
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/
base.py
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# -*- coding: utf-8 -*-
# Copyright 2020 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
import abc
import typing
import pkg_resources
from google import auth # type: ignore
from google.api_core import exceptions # type: ignore
from google.api_core import gapic_v1 # type: ignore
from google.api_core import retry as retries # type: ignore
from google.api_core import operations_v1 # type: ignore
from google.auth import credentials # type: ignore
from google.cloud.aiplatform_v1beta1.types import model
from google.cloud.aiplatform_v1beta1.types import model as gca_model
from google.cloud.aiplatform_v1beta1.types import model_evaluation
from google.cloud.aiplatform_v1beta1.types import model_evaluation_slice
from google.cloud.aiplatform_v1beta1.types import model_service
from google.longrunning import operations_pb2 as operations # type: ignore
try:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=pkg_resources.get_distribution(
"google-cloud-aiplatform",
).version,
)
except pkg_resources.DistributionNotFound:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()
class ModelServiceTransport(abc.ABC):
"""Abstract transport class for ModelService."""
AUTH_SCOPES = ("https://www.googleapis.com/auth/cloud-platform",)
def __init__(
self,
*,
host: str = "aiplatform.googleapis.com",
credentials: credentials.Credentials = None,
credentials_file: typing.Optional[str] = None,
scopes: typing.Optional[typing.Sequence[str]] = AUTH_SCOPES,
quota_project_id: typing.Optional[str] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
**kwargs,
) -> None:
"""Instantiate the transport.
Args:
host (Optional[str]): The hostname to connect to.
credentials (Optional[google.auth.credentials.Credentials]): The
authorization credentials to attach to requests. These
credentials identify the application to the service; if none
are specified, the client will attempt to ascertain the
credentials from the environment.
credentials_file (Optional[str]): A file with credentials that can
be loaded with :func:`google.auth.load_credentials_from_file`.
This argument is mutually exclusive with credentials.
scope (Optional[Sequence[str]]): A list of scopes.
quota_project_id (Optional[str]): An optional project to use for billing
and quota.
client_info (google.api_core.gapic_v1.client_info.ClientInfo):
The client info used to send a user-agent string along with
API requests. If ``None``, then default info will be used.
Generally, you only need to set this if you're developing
your own client library.
"""
# Save the hostname. Default to port 443 (HTTPS) if none is specified.
if ":" not in host:
host += ":443"
self._host = host
# If no credentials are provided, then determine the appropriate
# defaults.
if credentials and credentials_file:
raise exceptions.DuplicateCredentialArgs(
"'credentials_file' and 'credentials' are mutually exclusive"
)
if credentials_file is not None:
credentials, _ = auth.load_credentials_from_file(
credentials_file, scopes=scopes, quota_project_id=quota_project_id
)
elif credentials is None:
credentials, _ = auth.default(
scopes=scopes, quota_project_id=quota_project_id
)
# Save the credentials.
self._credentials = credentials
# Lifted into its own function so it can be stubbed out during tests.
self._prep_wrapped_messages(client_info)
def _prep_wrapped_messages(self, client_info):
# Precompute the wrapped methods.
self._wrapped_methods = {
self.upload_model: gapic_v1.method.wrap_method(
self.upload_model, default_timeout=5.0, client_info=client_info,
),
self.get_model: gapic_v1.method.wrap_method(
self.get_model, default_timeout=5.0, client_info=client_info,
),
self.list_models: gapic_v1.method.wrap_method(
self.list_models, default_timeout=5.0, client_info=client_info,
),
self.update_model: gapic_v1.method.wrap_method(
self.update_model, default_timeout=5.0, client_info=client_info,
),
self.delete_model: gapic_v1.method.wrap_method(
self.delete_model, default_timeout=5.0, client_info=client_info,
),
self.export_model: gapic_v1.method.wrap_method(
self.export_model, default_timeout=5.0, client_info=client_info,
),
self.get_model_evaluation: gapic_v1.method.wrap_method(
self.get_model_evaluation, default_timeout=5.0, client_info=client_info,
),
self.list_model_evaluations: gapic_v1.method.wrap_method(
self.list_model_evaluations,
default_timeout=5.0,
client_info=client_info,
),
self.get_model_evaluation_slice: gapic_v1.method.wrap_method(
self.get_model_evaluation_slice,
default_timeout=5.0,
client_info=client_info,
),
self.list_model_evaluation_slices: gapic_v1.method.wrap_method(
self.list_model_evaluation_slices,
default_timeout=5.0,
client_info=client_info,
),
}
@property
def operations_client(self) -> operations_v1.OperationsClient:
"""Return the client designed to process long-running operations."""
raise NotImplementedError()
@property
def upload_model(
self,
) -> typing.Callable[
[model_service.UploadModelRequest],
typing.Union[operations.Operation, typing.Awaitable[operations.Operation]],
]:
raise NotImplementedError()
@property
def get_model(
self,
) -> typing.Callable[
[model_service.GetModelRequest],
typing.Union[model.Model, typing.Awaitable[model.Model]],
]:
raise NotImplementedError()
@property
def list_models(
self,
) -> typing.Callable[
[model_service.ListModelsRequest],
typing.Union[
model_service.ListModelsResponse,
typing.Awaitable[model_service.ListModelsResponse],
],
]:
raise NotImplementedError()
@property
def update_model(
self,
) -> typing.Callable[
[model_service.UpdateModelRequest],
typing.Union[gca_model.Model, typing.Awaitable[gca_model.Model]],
]:
raise NotImplementedError()
@property
def delete_model(
self,
) -> typing.Callable[
[model_service.DeleteModelRequest],
typing.Union[operations.Operation, typing.Awaitable[operations.Operation]],
]:
raise NotImplementedError()
@property
def export_model(
self,
) -> typing.Callable[
[model_service.ExportModelRequest],
typing.Union[operations.Operation, typing.Awaitable[operations.Operation]],
]:
raise NotImplementedError()
@property
def get_model_evaluation(
self,
) -> typing.Callable[
[model_service.GetModelEvaluationRequest],
typing.Union[
model_evaluation.ModelEvaluation,
typing.Awaitable[model_evaluation.ModelEvaluation],
],
]:
raise NotImplementedError()
@property
def list_model_evaluations(
self,
) -> typing.Callable[
[model_service.ListModelEvaluationsRequest],
typing.Union[
model_service.ListModelEvaluationsResponse,
typing.Awaitable[model_service.ListModelEvaluationsResponse],
],
]:
raise NotImplementedError()
@property
def get_model_evaluation_slice(
self,
) -> typing.Callable[
[model_service.GetModelEvaluationSliceRequest],
typing.Union[
model_evaluation_slice.ModelEvaluationSlice,
typing.Awaitable[model_evaluation_slice.ModelEvaluationSlice],
],
]:
raise NotImplementedError()
@property
def list_model_evaluation_slices(
self,
) -> typing.Callable[
[model_service.ListModelEvaluationSlicesRequest],
typing.Union[
model_service.ListModelEvaluationSlicesResponse,
typing.Awaitable[model_service.ListModelEvaluationSlicesResponse],
],
]:
raise NotImplementedError()
__all__ = ("ModelServiceTransport",)