As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit Python 2 support on Google Cloud.
Source code for google.cloud.language_v1beta2.services.language_service.async_client
# -*- coding: utf-8 -*-
# Copyright 2024 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
import re
from typing import (
Callable,
Dict,
Mapping,
MutableMapping,
MutableSequence,
Optional,
Sequence,
Tuple,
Type,
Union,
)
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry_async as retries
from google.api_core.client_options import ClientOptions
from google.auth import credentials as ga_credentials # type: ignore
from google.oauth2 import service_account # type: ignore
from google.cloud.language_v1beta2 import gapic_version as package_version
try:
OptionalRetry = Union[retries.AsyncRetry, gapic_v1.method._MethodDefault, None]
except AttributeError: # pragma: NO COVER
OptionalRetry = Union[retries.AsyncRetry, object, None] # type: ignore
from google.cloud.language_v1beta2.types import language_service
from .client import LanguageServiceClient
from .transports.base import DEFAULT_CLIENT_INFO, LanguageServiceTransport
from .transports.grpc_asyncio import LanguageServiceGrpcAsyncIOTransport
[docs]class LanguageServiceAsyncClient:
"""Provides text analysis operations such as sentiment analysis
and entity recognition.
"""
_client: LanguageServiceClient
# Copy defaults from the synchronous client for use here.
# Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
DEFAULT_ENDPOINT = LanguageServiceClient.DEFAULT_ENDPOINT
DEFAULT_MTLS_ENDPOINT = LanguageServiceClient.DEFAULT_MTLS_ENDPOINT
_DEFAULT_ENDPOINT_TEMPLATE = LanguageServiceClient._DEFAULT_ENDPOINT_TEMPLATE
_DEFAULT_UNIVERSE = LanguageServiceClient._DEFAULT_UNIVERSE
common_billing_account_path = staticmethod(
LanguageServiceClient.common_billing_account_path
)
parse_common_billing_account_path = staticmethod(
LanguageServiceClient.parse_common_billing_account_path
)
common_folder_path = staticmethod(LanguageServiceClient.common_folder_path)
parse_common_folder_path = staticmethod(
LanguageServiceClient.parse_common_folder_path
)
common_organization_path = staticmethod(
LanguageServiceClient.common_organization_path
)
parse_common_organization_path = staticmethod(
LanguageServiceClient.parse_common_organization_path
)
common_project_path = staticmethod(LanguageServiceClient.common_project_path)
parse_common_project_path = staticmethod(
LanguageServiceClient.parse_common_project_path
)
common_location_path = staticmethod(LanguageServiceClient.common_location_path)
parse_common_location_path = staticmethod(
LanguageServiceClient.parse_common_location_path
)
[docs] @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:
LanguageServiceAsyncClient: The constructed client.
"""
return LanguageServiceClient.from_service_account_info.__func__(LanguageServiceAsyncClient, info, *args, **kwargs) # type: ignore
[docs] @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:
LanguageServiceAsyncClient: The constructed client.
"""
return LanguageServiceClient.from_service_account_file.__func__(LanguageServiceAsyncClient, filename, *args, **kwargs) # type: ignore
from_service_account_json = from_service_account_file
[docs] @classmethod
def get_mtls_endpoint_and_cert_source(
cls, client_options: Optional[ClientOptions] = None
):
"""Return the API endpoint and client cert source for mutual TLS.
The client cert source is determined in the following order:
(1) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is not "true", the
client cert source is None.
(2) if `client_options.client_cert_source` is provided, use the provided one; if the
default client cert source exists, use the default one; otherwise the client cert
source is None.
The API endpoint is determined in the following order:
(1) if `client_options.api_endpoint` if provided, use the provided one.
(2) if `GOOGLE_API_USE_CLIENT_CERTIFICATE` environment variable is "always", use the
default mTLS endpoint; if the environment variable is "never", use the default API
endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise
use the default API endpoint.
More details can be found at https://google.aip.dev/auth/4114.
Args:
client_options (google.api_core.client_options.ClientOptions): Custom options for the
client. Only the `api_endpoint` and `client_cert_source` properties may be used
in this method.
Returns:
Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
client cert source to use.
Raises:
google.auth.exceptions.MutualTLSChannelError: If any errors happen.
"""
return LanguageServiceClient.get_mtls_endpoint_and_cert_source(client_options) # type: ignore
@property
def transport(self) -> LanguageServiceTransport:
"""Returns the transport used by the client instance.
Returns:
LanguageServiceTransport: The transport used by the client instance.
"""
return self._client.transport
@property
def api_endpoint(self):
"""Return the API endpoint used by the client instance.
Returns:
str: The API endpoint used by the client instance.
"""
return self._client._api_endpoint
@property
def universe_domain(self) -> str:
"""Return the universe domain used by the client instance.
Returns:
str: The universe domain used
by the client instance.
"""
return self._client._universe_domain
get_transport_class = LanguageServiceClient.get_transport_class
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Optional[
Union[
str, LanguageServiceTransport, Callable[..., LanguageServiceTransport]
]
] = "grpc_asyncio",
client_options: Optional[ClientOptions] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the language service async 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 (Optional[Union[str,LanguageServiceTransport,Callable[..., LanguageServiceTransport]]]):
The transport to use, or a Callable that constructs and returns a new transport to use.
If a Callable is given, it will be called with the same set of initialization
arguments as used in the LanguageServiceTransport constructor.
If set to None, a transport is chosen automatically.
client_options (Optional[Union[google.api_core.client_options.ClientOptions, dict]]):
Custom options for the client.
1. The ``api_endpoint`` property can be used to override the
default endpoint provided by the client when ``transport`` is
not explicitly provided. Only if this property is not set and
``transport`` was not explicitly provided, the endpoint is
determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment
variable, which have one of the following values:
"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).
2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable
is "true", then the ``client_cert_source`` property can be used
to provide a client certificate for mTLS 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.
3. The ``universe_domain`` property can be used to override the
default "googleapis.com" universe. Note that ``api_endpoint``
property still takes precedence; and ``universe_domain`` is
currently not supported for mTLS.
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.
"""
self._client = LanguageServiceClient(
credentials=credentials,
transport=transport,
client_options=client_options,
client_info=client_info,
)
[docs] async def analyze_sentiment(
self,
request: Optional[Union[language_service.AnalyzeSentimentRequest, dict]] = None,
*,
document: Optional[language_service.Document] = None,
encoding_type: Optional[language_service.EncodingType] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.AnalyzeSentimentResponse:
r"""Analyzes the sentiment of the provided text.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_analyze_sentiment():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.AnalyzeSentimentRequest(
document=document,
)
# Make the request
response = await client.analyze_sentiment(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.AnalyzeSentimentRequest, dict]]):
The request object. The sentiment analysis request
message.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
encoding_type (:class:`google.cloud.language_v1beta2.types.EncodingType`):
The encoding type used by the API to
calculate sentence offsets for the
sentence sentiment.
This corresponds to the ``encoding_type`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.AnalyzeSentimentResponse:
The sentiment analysis response
message.
"""
# 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([document, encoding_type])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.AnalyzeSentimentRequest):
request = language_service.AnalyzeSentimentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
if encoding_type is not None:
request.encoding_type = encoding_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.analyze_sentiment
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def analyze_entities(
self,
request: Optional[Union[language_service.AnalyzeEntitiesRequest, dict]] = None,
*,
document: Optional[language_service.Document] = None,
encoding_type: Optional[language_service.EncodingType] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.AnalyzeEntitiesResponse:
r"""Finds named entities (currently proper names and
common nouns) in the text along with entity types,
salience, mentions for each entity, and other
properties.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_analyze_entities():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.AnalyzeEntitiesRequest(
document=document,
)
# Make the request
response = await client.analyze_entities(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.AnalyzeEntitiesRequest, dict]]):
The request object. The entity analysis request message.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
encoding_type (:class:`google.cloud.language_v1beta2.types.EncodingType`):
The encoding type used by the API to
calculate offsets.
This corresponds to the ``encoding_type`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.AnalyzeEntitiesResponse:
The entity analysis response message.
"""
# 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([document, encoding_type])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.AnalyzeEntitiesRequest):
request = language_service.AnalyzeEntitiesRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
if encoding_type is not None:
request.encoding_type = encoding_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.analyze_entities
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def analyze_entity_sentiment(
self,
request: Optional[
Union[language_service.AnalyzeEntitySentimentRequest, dict]
] = None,
*,
document: Optional[language_service.Document] = None,
encoding_type: Optional[language_service.EncodingType] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.AnalyzeEntitySentimentResponse:
r"""Finds entities, similar to
[AnalyzeEntities][google.cloud.language.v1beta2.LanguageService.AnalyzeEntities]
in the text and analyzes sentiment associated with each entity
and its mentions.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_analyze_entity_sentiment():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.AnalyzeEntitySentimentRequest(
document=document,
)
# Make the request
response = await client.analyze_entity_sentiment(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.AnalyzeEntitySentimentRequest, dict]]):
The request object. The entity-level sentiment analysis
request message.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
encoding_type (:class:`google.cloud.language_v1beta2.types.EncodingType`):
The encoding type used by the API to
calculate offsets.
This corresponds to the ``encoding_type`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.AnalyzeEntitySentimentResponse:
The entity-level sentiment analysis
response message.
"""
# 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([document, encoding_type])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.AnalyzeEntitySentimentRequest):
request = language_service.AnalyzeEntitySentimentRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
if encoding_type is not None:
request.encoding_type = encoding_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.analyze_entity_sentiment
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def analyze_syntax(
self,
request: Optional[Union[language_service.AnalyzeSyntaxRequest, dict]] = None,
*,
document: Optional[language_service.Document] = None,
encoding_type: Optional[language_service.EncodingType] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.AnalyzeSyntaxResponse:
r"""Analyzes the syntax of the text and provides sentence
boundaries and tokenization along with part of speech
tags, dependency trees, and other properties.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_analyze_syntax():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.AnalyzeSyntaxRequest(
document=document,
)
# Make the request
response = await client.analyze_syntax(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.AnalyzeSyntaxRequest, dict]]):
The request object. The syntax analysis request message.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
encoding_type (:class:`google.cloud.language_v1beta2.types.EncodingType`):
The encoding type used by the API to
calculate offsets.
This corresponds to the ``encoding_type`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.AnalyzeSyntaxResponse:
The syntax analysis response message.
"""
# 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([document, encoding_type])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.AnalyzeSyntaxRequest):
request = language_service.AnalyzeSyntaxRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
if encoding_type is not None:
request.encoding_type = encoding_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.analyze_syntax
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def classify_text(
self,
request: Optional[Union[language_service.ClassifyTextRequest, dict]] = None,
*,
document: Optional[language_service.Document] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.ClassifyTextResponse:
r"""Classifies a document into categories.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_classify_text():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.ClassifyTextRequest(
document=document,
)
# Make the request
response = await client.classify_text(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.ClassifyTextRequest, dict]]):
The request object. The document classification request
message.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.ClassifyTextResponse:
The document classification response
message.
"""
# 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([document])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.ClassifyTextRequest):
request = language_service.ClassifyTextRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.classify_text
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def moderate_text(
self,
request: Optional[Union[language_service.ModerateTextRequest, dict]] = None,
*,
document: Optional[language_service.Document] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.ModerateTextResponse:
r"""Moderates a document for harmful and sensitive
categories.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_moderate_text():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.ModerateTextRequest(
document=document,
)
# Make the request
response = await client.moderate_text(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.ModerateTextRequest, dict]]):
The request object. The document moderation request
message.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.ModerateTextResponse:
The document moderation response
message.
"""
# 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([document])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.ModerateTextRequest):
request = language_service.ModerateTextRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.moderate_text
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] async def annotate_text(
self,
request: Optional[Union[language_service.AnnotateTextRequest, dict]] = None,
*,
document: Optional[language_service.Document] = None,
features: Optional[language_service.AnnotateTextRequest.Features] = None,
encoding_type: Optional[language_service.EncodingType] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> language_service.AnnotateTextResponse:
r"""A convenience method that provides all syntax,
sentiment, entity, and classification features in one
call.
.. code-block:: python
# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
# client as shown in:
# https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import language_v1beta2
async def sample_annotate_text():
# Create a client
client = language_v1beta2.LanguageServiceAsyncClient()
# Initialize request argument(s)
document = language_v1beta2.Document()
document.content = "content_value"
request = language_v1beta2.AnnotateTextRequest(
document=document,
)
# Make the request
response = await client.annotate_text(request=request)
# Handle the response
print(response)
Args:
request (Optional[Union[google.cloud.language_v1beta2.types.AnnotateTextRequest, dict]]):
The request object. The request message for the text
annotation API, which can perform
multiple analysis types (sentiment,
entities, and syntax) in one call.
document (:class:`google.cloud.language_v1beta2.types.Document`):
Required. Input document.
This corresponds to the ``document`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
features (:class:`google.cloud.language_v1beta2.types.AnnotateTextRequest.Features`):
Required. The enabled features.
This corresponds to the ``features`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
encoding_type (:class:`google.cloud.language_v1beta2.types.EncodingType`):
The encoding type used by the API to
calculate offsets.
This corresponds to the ``encoding_type`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry_async.AsyncRetry): 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.language_v1beta2.types.AnnotateTextResponse:
The text annotations response
message.
"""
# 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([document, features, encoding_type])
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."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, language_service.AnnotateTextRequest):
request = language_service.AnnotateTextRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if document is not None:
request.document = document
if features is not None:
request.features = features
if encoding_type is not None:
request.encoding_type = encoding_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._client._transport._wrapped_methods[
self._client._transport.annotate_text
]
# Validate the universe domain.
self._client._validate_universe_domain()
# Send the request.
response = await rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
async def __aenter__(self) -> "LanguageServiceAsyncClient":
return self
async def __aexit__(self, exc_type, exc, tb):
await self.transport.close()
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=package_version.__version__
)
__all__ = ("LanguageServiceAsyncClient",)
