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client.py
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client.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 collections import OrderedDict
from distutils import util
import os
import re
from typing import (
Callable,
Dict,
Optional,
Iterable,
Iterator,
Sequence,
Tuple,
Type,
Union,
)
import pkg_resources
from google.api_core import client_options as client_options_lib # 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.auth import credentials # type: ignore
from google.auth.transport import mtls # type: ignore
from google.auth.transport.grpc import SslCredentials # type: ignore
from google.auth.exceptions import MutualTLSChannelError # type: ignore
from google.oauth2 import service_account # type: ignore
from google.api_core import operation # type: ignore
from google.api_core import operation_async # type: ignore
from google.cloud.speech_v1p1beta1.types import cloud_speech
from google.rpc import status_pb2 as status # type: ignore
from .transports.base import SpeechTransport, DEFAULT_CLIENT_INFO
from .transports.grpc import SpeechGrpcTransport
from .transports.grpc_asyncio import SpeechGrpcAsyncIOTransport
class SpeechClientMeta(type):
"""Metaclass for the Speech client.
This provides class-level methods for building and retrieving
support objects (e.g. transport) without polluting the client instance
objects.
"""
_transport_registry = OrderedDict() # type: Dict[str, Type[SpeechTransport]]
_transport_registry["grpc"] = SpeechGrpcTransport
_transport_registry["grpc_asyncio"] = SpeechGrpcAsyncIOTransport
def get_transport_class(cls, label: str = None,) -> Type[SpeechTransport]:
"""Return an appropriate transport class.
Args:
label: The name of the desired transport. If none is
provided, then the first transport in the registry is used.
Returns:
The transport class to use.
"""
# If a specific transport is requested, return that one.
if label:
return cls._transport_registry[label]
# No transport is requested; return the default (that is, the first one
# in the dictionary).
return next(iter(cls._transport_registry.values()))
class SpeechClient(metaclass=SpeechClientMeta):
"""Service that implements Google Cloud Speech API."""
@staticmethod
def _get_default_mtls_endpoint(api_endpoint):
"""Convert api endpoint to mTLS endpoint.
Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
"*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
Args:
api_endpoint (Optional[str]): the api endpoint to convert.
Returns:
str: converted mTLS api endpoint.
"""
if not api_endpoint:
return api_endpoint
mtls_endpoint_re = re.compile(
r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
)
m = mtls_endpoint_re.match(api_endpoint)
name, mtls, sandbox, googledomain = m.groups()
if mtls or not googledomain:
return api_endpoint
if sandbox:
return api_endpoint.replace(
"sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
)
return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
DEFAULT_ENDPOINT = "speech.googleapis.com"
DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore
DEFAULT_ENDPOINT
)
@classmethod
def from_service_account_info(cls, info: dict, *args, **kwargs):
"""Creates an instance of this client using the provided credentials info.
Args:
info (dict): The service account private key info.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
SpeechClient: The constructed client.
"""
credentials = service_account.Credentials.from_service_account_info(info)
kwargs["credentials"] = credentials
return cls(*args, **kwargs)
@classmethod
def from_service_account_file(cls, filename: str, *args, **kwargs):
"""Creates an instance of this client using the provided credentials
file.
Args:
filename (str): The path to the service account private key json
file.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
SpeechClient: The constructed client.
"""
credentials = service_account.Credentials.from_service_account_file(filename)
kwargs["credentials"] = credentials
return cls(*args, **kwargs)
from_service_account_json = from_service_account_file
@property
def transport(self) -> SpeechTransport:
"""Return the transport used by the client instance.
Returns:
SpeechTransport: The transport used by the client instance.
"""
return self._transport
@staticmethod
def custom_class_path(project: str, location: str, custom_class: str,) -> str:
"""Return a fully-qualified custom_class string."""
return "projects/{project}/locations/{location}/customClasses/{custom_class}".format(
project=project, location=location, custom_class=custom_class,
)
@staticmethod
def parse_custom_class_path(path: str) -> Dict[str, str]:
"""Parse a custom_class path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/customClasses/(?P<custom_class>.+?)$",
path,
)
return m.groupdict() if m else {}
@staticmethod
def phrase_set_path(project: str, location: str, phrase_set: str,) -> str:
"""Return a fully-qualified phrase_set string."""
return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
project=project, location=location, phrase_set=phrase_set,
)
@staticmethod
def parse_phrase_set_path(path: str) -> Dict[str, str]:
"""Parse a phrase_set path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
path,
)
return m.groupdict() if m else {}
@staticmethod
def common_billing_account_path(billing_account: str,) -> str:
"""Return a fully-qualified billing_account string."""
return "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
@staticmethod
def parse_common_billing_account_path(path: str) -> Dict[str, str]:
"""Parse a billing_account path into its component segments."""
m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
return m.groupdict() if m else {}
@staticmethod
def common_folder_path(folder: str,) -> str:
"""Return a fully-qualified folder string."""
return "folders/{folder}".format(folder=folder,)
@staticmethod
def parse_common_folder_path(path: str) -> Dict[str, str]:
"""Parse a folder path into its component segments."""
m = re.match(r"^folders/(?P<folder>.+?)$", path)
return m.groupdict() if m else {}
@staticmethod
def common_organization_path(organization: str,) -> str:
"""Return a fully-qualified organization string."""
return "organizations/{organization}".format(organization=organization,)
@staticmethod
def parse_common_organization_path(path: str) -> Dict[str, str]:
"""Parse a organization path into its component segments."""
m = re.match(r"^organizations/(?P<organization>.+?)$", path)
return m.groupdict() if m else {}
@staticmethod
def common_project_path(project: str,) -> str:
"""Return a fully-qualified project string."""
return "projects/{project}".format(project=project,)
@staticmethod
def parse_common_project_path(path: str) -> Dict[str, str]:
"""Parse a project path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)$", path)
return m.groupdict() if m else {}
@staticmethod
def common_location_path(project: str, location: str,) -> str:
"""Return a fully-qualified location string."""
return "projects/{project}/locations/{location}".format(
project=project, location=location,
)
@staticmethod
def parse_common_location_path(path: str) -> Dict[str, str]:
"""Parse a location path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
return m.groupdict() if m else {}
def __init__(
self,
*,
credentials: Optional[credentials.Credentials] = None,
transport: Union[str, SpeechTransport, None] = None,
client_options: Optional[client_options_lib.ClientOptions] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiate the speech client.
Args:
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.
transport (Union[str, SpeechTransport]): The
transport to use. If set to None, a transport is chosen
automatically.
client_options (google.api_core.client_options.ClientOptions): Custom options for the
client. It won't take effect if a ``transport`` instance is provided.
(1) The ``api_endpoint`` property can be used to override the
default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT
environment variable can also be used to override the endpoint:
"always" (always use the default mTLS endpoint), "never" (always
use the default regular endpoint) and "auto" (auto switch to the
default mTLS endpoint if client certificate is present, this is
the default value). However, the ``api_endpoint`` property takes
precedence if provided.
(2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
is "true", then the ``client_cert_source`` property can be used
to provide client certificate for mutual TLS transport. If
not provided, the default SSL client certificate will be used if
present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not
set, no client certificate will be used.
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.
Raises:
google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
creation failed for any reason.
"""
if isinstance(client_options, dict):
client_options = client_options_lib.from_dict(client_options)
if client_options is None:
client_options = client_options_lib.ClientOptions()
# Create SSL credentials for mutual TLS if needed.
use_client_cert = bool(
util.strtobool(os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"))
)
client_cert_source_func = None
is_mtls = False
if use_client_cert:
if client_options.client_cert_source:
is_mtls = True
client_cert_source_func = client_options.client_cert_source
else:
is_mtls = mtls.has_default_client_cert_source()
client_cert_source_func = (
mtls.default_client_cert_source() if is_mtls else None
)
# Figure out which api endpoint to use.
if client_options.api_endpoint is not None:
api_endpoint = client_options.api_endpoint
else:
use_mtls_env = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
if use_mtls_env == "never":
api_endpoint = self.DEFAULT_ENDPOINT
elif use_mtls_env == "always":
api_endpoint = self.DEFAULT_MTLS_ENDPOINT
elif use_mtls_env == "auto":
api_endpoint = (
self.DEFAULT_MTLS_ENDPOINT if is_mtls else self.DEFAULT_ENDPOINT
)
else:
raise MutualTLSChannelError(
"Unsupported GOOGLE_API_USE_MTLS_ENDPOINT value. Accepted values: never, auto, always"
)
# Save or instantiate the transport.
# Ordinarily, we provide the transport, but allowing a custom transport
# instance provides an extensibility point for unusual situations.
if isinstance(transport, SpeechTransport):
# transport is a SpeechTransport instance.
if credentials or client_options.credentials_file:
raise ValueError(
"When providing a transport instance, "
"provide its credentials directly."
)
if client_options.scopes:
raise ValueError(
"When providing a transport instance, "
"provide its scopes directly."
)
self._transport = transport
else:
Transport = type(self).get_transport_class(transport)
self._transport = Transport(
credentials=credentials,
credentials_file=client_options.credentials_file,
host=api_endpoint,
scopes=client_options.scopes,
client_cert_source_for_mtls=client_cert_source_func,
quota_project_id=client_options.quota_project_id,
client_info=client_info,
)
def recognize(
self,
request: cloud_speech.RecognizeRequest = None,
*,
config: cloud_speech.RecognitionConfig = None,
audio: cloud_speech.RecognitionAudio = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> cloud_speech.RecognizeResponse:
r"""Performs synchronous speech recognition: receive
results after all audio has been sent and processed.
Args:
request (google.cloud.speech_v1p1beta1.types.RecognizeRequest):
The request object. The top-level message sent by the
client for the `Recognize` method.
config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
Required. Provides information to the
recognizer that specifies how to process
the request.
This corresponds to the ``config`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
audio (google.cloud.speech_v1p1beta1.types.RecognitionAudio):
Required. The audio data to be
recognized.
This corresponds to the ``audio`` 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.speech_v1p1beta1.types.RecognizeResponse:
The only message returned to the client by the Recognize method. It
contains the result as zero or more sequential
SpeechRecognitionResult messages.
"""
# 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([config, audio])
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 cloud_speech.RecognizeRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, cloud_speech.RecognizeRequest):
request = cloud_speech.RecognizeRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if config is not None:
request.config = config
if audio is not None:
request.audio = audio
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.recognize]
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
def long_running_recognize(
self,
request: cloud_speech.LongRunningRecognizeRequest = None,
*,
config: cloud_speech.RecognitionConfig = None,
audio: cloud_speech.RecognitionAudio = None,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Performs asynchronous speech recognition: receive results via
the google.longrunning.Operations interface. Returns either an
``Operation.error`` or an ``Operation.response`` which contains
a ``LongRunningRecognizeResponse`` message. For more information
on asynchronous speech recognition, see the
`how-to <https://cloud.google.com/speech-to-text/docs/async-recognize>`__.
Args:
request (google.cloud.speech_v1p1beta1.types.LongRunningRecognizeRequest):
The request object. The top-level message sent by the
client for the `LongRunningRecognize` method.
config (google.cloud.speech_v1p1beta1.types.RecognitionConfig):
Required. Provides information to the
recognizer that specifies how to process
the request.
This corresponds to the ``config`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
audio (google.cloud.speech_v1p1beta1.types.RecognitionAudio):
Required. The audio data to be
recognized.
This corresponds to the ``audio`` 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.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.cloud.speech_v1p1beta1.types.LongRunningRecognizeResponse` The only message returned to the client by the LongRunningRecognize method.
It contains the result as zero or more sequential
SpeechRecognitionResult messages. It is included in
the result.response field of the Operation returned
by the GetOperation call of the
google::longrunning::Operations service.
"""
# 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([config, audio])
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 cloud_speech.LongRunningRecognizeRequest.
# There's no risk of modifying the input as we've already verified
# there are no flattened fields.
if not isinstance(request, cloud_speech.LongRunningRecognizeRequest):
request = cloud_speech.LongRunningRecognizeRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if config is not None:
request.config = config
if audio is not None:
request.audio = audio
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.long_running_recognize]
# Send the request.
response = rpc(request, retry=retry, timeout=timeout, metadata=metadata,)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
cloud_speech.LongRunningRecognizeResponse,
metadata_type=cloud_speech.LongRunningRecognizeMetadata,
)
# Done; return the response.
return response
def streaming_recognize(
self,
requests: Iterator[cloud_speech.StreamingRecognizeRequest] = None,
*,
retry: retries.Retry = gapic_v1.method.DEFAULT,
timeout: float = None,
metadata: Sequence[Tuple[str, str]] = (),
) -> Iterable[cloud_speech.StreamingRecognizeResponse]:
r"""Performs bidirectional streaming speech recognition:
receive results while sending audio. This method is only
available via the gRPC API (not REST).
Args:
requests (Iterator[google.cloud.speech_v1p1beta1.types.StreamingRecognizeRequest]):
The request object iterator. The top-level message sent by the
client for the `StreamingRecognize` method. Multiple
`StreamingRecognizeRequest` messages are sent. The first
message must contain a `streaming_config` message and
must not contain `audio_content`. All subsequent
messages must contain `audio_content` and must not
contain a `streaming_config` message.
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:
Iterable[google.cloud.speech_v1p1beta1.types.StreamingRecognizeResponse]:
StreamingRecognizeResponse is the only message returned to the client by
StreamingRecognize. A series of zero or more
StreamingRecognizeResponse messages are streamed back
to the client. If there is no recognizable audio, and
single_utterance is set to false, then no messages
are streamed back to the client.
Here's an example of a series of
StreamingRecognizeResponses that might be returned
while processing audio:
1. results { alternatives { transcript: "tube" }
stability: 0.01 }
2. results { alternatives { transcript: "to be a" }
stability: 0.01 }
3. results { alternatives { transcript: "to be" }
stability: 0.9 } results { alternatives {
transcript: " or not to be" } stability: 0.01 }
4.
results { alternatives { transcript: "to be or not to be"
confidence: 0.92 }
alternatives { transcript: "to bee or not to bee" }
is_final: true }
5. results { alternatives { transcript: " that's" }
stability: 0.01 }
6. results { alternatives { transcript: " that is" }
stability: 0.9 } results { alternatives {
transcript: " the question" } stability: 0.01 }
7.
results { alternatives { transcript: " that is the question"
confidence: 0.98 }
alternatives { transcript: " that was the question" }
is_final: true }
Notes:
- Only two of the above responses #4 and #7 contain
final results; they are indicated by
is_final: true. Concatenating these together
generates the full transcript: "to be or not to be
that is the question".
- The others contain interim results. #3 and #6
contain two interim \`results`: the first portion
has a high stability and is less likely to change;
the second portion has a low stability and is very
likely to change. A UI designer might choose to
show only high stability results.
- The specific stability and confidence values shown
above are only for illustrative purposes. Actual
values may vary.
-
In each response, only one of these fields will be set:
error, speech_event_type, or one or more
(repeated) results.
"""
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.streaming_recognize]
# Send the request.
response = rpc(requests, retry=retry, timeout=timeout, metadata=metadata,)
# Done; return the response.
return response
try:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=pkg_resources.get_distribution("google-cloud-speech",).version,
)
except pkg_resources.DistributionNotFound:
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo()
__all__ = ("SpeechClient",)