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grpc.py
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grpc.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.
#
from typing import Callable, Dict, Tuple
from google.api_core import grpc_helpers # type: ignore
from google.api_core import operations_v1 # type: ignore
from google.auth import credentials # type: ignore
from google.auth.transport.grpc import SslCredentials # type: ignore
import grpc # type: ignore
from google.cloud.documentai_v1beta2.types import document
from google.cloud.documentai_v1beta2.types import document_understanding
from google.longrunning import operations_pb2 as operations # type: ignore
from .base import DocumentUnderstandingServiceTransport
class DocumentUnderstandingServiceGrpcTransport(DocumentUnderstandingServiceTransport):
"""gRPC backend transport for DocumentUnderstandingService.
Service to parse structured information from unstructured or
semi-structured documents using state-of-the-art Google AI such
as natural language, computer vision, and translation.
This class defines the same methods as the primary client, so the
primary client can load the underlying transport implementation
and call it.
It sends protocol buffers over the wire using gRPC (which is built on
top of HTTP/2); the ``grpcio`` package must be installed.
"""
def __init__(
self,
*,
host: str = "us-documentai.googleapis.com",
credentials: credentials.Credentials = None,
channel: grpc.Channel = None,
api_mtls_endpoint: str = None,
client_cert_source: Callable[[], Tuple[bytes, bytes]] = None
) -> 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.
This argument is ignored if ``channel`` is provided.
channel (Optional[grpc.Channel]): A ``Channel`` instance through
which to make calls.
api_mtls_endpoint (Optional[str]): The mutual TLS endpoint. If
provided, it overrides the ``host`` argument and tries to create
a mutual TLS channel with client SSL credentials from
``client_cert_source`` or applicatin default SSL credentials.
client_cert_source (Optional[Callable[[], Tuple[bytes, bytes]]]): A
callback to provide client SSL certificate bytes and private key
bytes, both in PEM format. It is ignored if ``api_mtls_endpoint``
is None.
Raises:
google.auth.exceptions.MutualTlsChannelError: If mutual TLS transport
creation failed for any reason.
"""
if channel:
# Sanity check: Ensure that channel and credentials are not both
# provided.
credentials = False
# If a channel was explicitly provided, set it.
self._grpc_channel = channel
elif api_mtls_endpoint:
host = (
api_mtls_endpoint
if ":" in api_mtls_endpoint
else api_mtls_endpoint + ":443"
)
# Create SSL credentials with client_cert_source or application
# default SSL credentials.
if client_cert_source:
cert, key = client_cert_source()
ssl_credentials = grpc.ssl_channel_credentials(
certificate_chain=cert, private_key=key
)
else:
ssl_credentials = SslCredentials().ssl_credentials
# create a new channel. The provided one is ignored.
self._grpc_channel = grpc_helpers.create_channel(
host,
credentials=credentials,
ssl_credentials=ssl_credentials,
scopes=self.AUTH_SCOPES,
)
# Run the base constructor.
super().__init__(host=host, credentials=credentials)
self._stubs = {} # type: Dict[str, Callable]
@classmethod
def create_channel(
cls,
host: str = "us-documentai.googleapis.com",
credentials: credentials.Credentials = None,
**kwargs
) -> grpc.Channel:
"""Create and return a gRPC channel object.
Args:
address (Optionsl[str]): The host for the channel to use.
credentials (Optional[~.Credentials]): The
authorization credentials to attach to requests. These
credentials identify this application to the service. If
none are specified, the client will attempt to ascertain
the credentials from the environment.
kwargs (Optional[dict]): Keyword arguments, which are passed to the
channel creation.
Returns:
grpc.Channel: A gRPC channel object.
"""
return grpc_helpers.create_channel(
host, credentials=credentials, scopes=cls.AUTH_SCOPES, **kwargs
)
@property
def grpc_channel(self) -> grpc.Channel:
"""Create the channel designed to connect to this service.
This property caches on the instance; repeated calls return
the same channel.
"""
# Sanity check: Only create a new channel if we do not already
# have one.
if not hasattr(self, "_grpc_channel"):
self._grpc_channel = self.create_channel(
self._host, credentials=self._credentials
)
# Return the channel from cache.
return self._grpc_channel
@property
def operations_client(self) -> operations_v1.OperationsClient:
"""Create the client designed to process long-running operations.
This property caches on the instance; repeated calls return the same
client.
"""
# Sanity check: Only create a new client if we do not already have one.
if "operations_client" not in self.__dict__:
self.__dict__["operations_client"] = operations_v1.OperationsClient(
self.grpc_channel
)
# Return the client from cache.
return self.__dict__["operations_client"]
@property
def batch_process_documents(
self
) -> Callable[
[document_understanding.BatchProcessDocumentsRequest], operations.Operation
]:
r"""Return a callable for the batch process documents method over gRPC.
LRO endpoint to batch process many documents. The output is
written to Cloud Storage as JSON in the [Document] format.
Returns:
Callable[[~.BatchProcessDocumentsRequest],
~.Operation]:
A function that, when called, will call the underlying RPC
on the server.
"""
# Generate a "stub function" on-the-fly which will actually make
# the request.
# gRPC handles serialization and deserialization, so we just need
# to pass in the functions for each.
if "batch_process_documents" not in self._stubs:
self._stubs["batch_process_documents"] = self.grpc_channel.unary_unary(
"/google.cloud.documentai.v1beta2.DocumentUnderstandingService/BatchProcessDocuments",
request_serializer=document_understanding.BatchProcessDocumentsRequest.serialize,
response_deserializer=operations.Operation.FromString,
)
return self._stubs["batch_process_documents"]
@property
def process_document(
self
) -> Callable[[document_understanding.ProcessDocumentRequest], document.Document]:
r"""Return a callable for the process document method over gRPC.
Processes a single document.
Returns:
Callable[[~.ProcessDocumentRequest],
~.Document]:
A function that, when called, will call the underlying RPC
on the server.
"""
# Generate a "stub function" on-the-fly which will actually make
# the request.
# gRPC handles serialization and deserialization, so we just need
# to pass in the functions for each.
if "process_document" not in self._stubs:
self._stubs["process_document"] = self.grpc_channel.unary_unary(
"/google.cloud.documentai.v1beta2.DocumentUnderstandingService/ProcessDocument",
request_serializer=document_understanding.ProcessDocumentRequest.serialize,
response_deserializer=document.Document.deserialize,
)
return self._stubs["process_document"]
__all__ = ("DocumentUnderstandingServiceGrpcTransport",)