Class LanguageServiceClient (2.13.0)

LanguageServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.language_v1.services.language_service.transports.base.LanguageServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Provides text analysis operations such as sentiment analysis and entity recognition.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
`str`	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type	Description
`LanguageServiceTransport`	The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
`str`	The universe domain used by the client instance.

Methods

LanguageServiceClient

LanguageServiceClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.language_v1.services.language_service.transports.base.LanguageServiceTransport]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the language service client.

Parameters
Name	Description
`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, LanguageServiceTransport]` The transport to use. 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 the `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.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If mutual TLS transport creation failed for any reason.

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

analyze_entities

analyze_entities(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.AnalyzeEntitiesRequest, dict
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    encoding_type: typing.Optional[
        google.cloud.language_v1.types.language_service.EncodingType
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.AnalyzeEntitiesResponse

Finds named entities (currently proper names and common nouns) in the text along with entity types, salience, mentions for each entity, and other properties.

# 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_v1

def sample_analyze_entities():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.AnalyzeEntitiesRequest(
        document=document,
    )

    # Make the request
    response = client.analyze_entities(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.types.AnalyzeEntitiesRequest, dict]` The request object. The entity analysis request message.
`document`	`google.cloud.language_v1.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`	`google.cloud.language_v1.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.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
Type	Description
`google.cloud.language_v1.types.AnalyzeEntitiesResponse`	The entity analysis response message.

analyze_entity_sentiment

analyze_entity_sentiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.AnalyzeEntitySentimentRequest,
            dict,
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    encoding_type: typing.Optional[
        google.cloud.language_v1.types.language_service.EncodingType
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.AnalyzeEntitySentimentResponse

Finds entities, similar to xref_AnalyzeEntities in the text and analyzes sentiment associated with each entity and its mentions.

# 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_v1

def sample_analyze_entity_sentiment():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.AnalyzeEntitySentimentRequest(
        document=document,
    )

    # Make the request
    response = client.analyze_entity_sentiment(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.types.AnalyzeEntitySentimentRequest, dict]` The request object. The entity-level sentiment analysis request message.
`document`	`google.cloud.language_v1.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`	`google.cloud.language_v1.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.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
Type	Description
`google.cloud.language_v1.types.AnalyzeEntitySentimentResponse`	The entity-level sentiment analysis response message.

analyze_sentiment

analyze_sentiment(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.AnalyzeSentimentRequest,
            dict,
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    encoding_type: typing.Optional[
        google.cloud.language_v1.types.language_service.EncodingType
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.AnalyzeSentimentResponse

Analyzes the sentiment of the provided text.

# 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_v1

def sample_analyze_sentiment():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.AnalyzeSentimentRequest(
        document=document,
    )

    # Make the request
    response = client.analyze_sentiment(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.types.AnalyzeSentimentRequest, dict]` The request object. The sentiment analysis request message.
`document`	`google.cloud.language_v1.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`	`google.cloud.language_v1.types.EncodingType` The encoding type used by the API to calculate sentence 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.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
Type	Description
`google.cloud.language_v1.types.AnalyzeSentimentResponse`	The sentiment analysis response message.

analyze_syntax

analyze_syntax(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.AnalyzeSyntaxRequest, dict
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    encoding_type: typing.Optional[
        google.cloud.language_v1.types.language_service.EncodingType
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.AnalyzeSyntaxResponse

Analyzes the syntax of the text and provides sentence boundaries and tokenization along with part of speech tags, dependency trees, and other properties.

# 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_v1

def sample_analyze_syntax():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.AnalyzeSyntaxRequest(
        document=document,
    )

    # Make the request
    response = client.analyze_syntax(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.types.AnalyzeSyntaxRequest, dict]` The request object. The syntax analysis request message.
`document`	`google.cloud.language_v1.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`	`google.cloud.language_v1.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.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
Type	Description
`google.cloud.language_v1.types.AnalyzeSyntaxResponse`	The syntax analysis response message.

annotate_text

annotate_text(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.AnnotateTextRequest, dict
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    features: typing.Optional[
        google.cloud.language_v1.types.language_service.AnnotateTextRequest.Features
    ] = None,
    encoding_type: typing.Optional[
        google.cloud.language_v1.types.language_service.EncodingType
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.AnnotateTextResponse

A convenience method that provides all the features that analyzeSentiment, analyzeEntities, and analyzeSyntax provide in one call.

# 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_v1

def sample_annotate_text():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.AnnotateTextRequest(
        document=document,
    )

    # Make the request
    response = client.annotate_text(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.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`	`google.cloud.language_v1.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`	`google.cloud.language_v1.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`	`google.cloud.language_v1.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.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
Type	Description
`google.cloud.language_v1.types.AnnotateTextResponse`	The text annotations response message.

classify_text

classify_text(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.ClassifyTextRequest, dict
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.ClassifyTextResponse

Classifies a document into categories.

# 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_v1

def sample_classify_text():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.ClassifyTextRequest(
        document=document,
    )

    # Make the request
    response = client.classify_text(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.types.ClassifyTextRequest, dict]` The request object. The document classification request message.
`document`	`google.cloud.language_v1.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.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
Type	Description
`google.cloud.language_v1.types.ClassifyTextResponse`	The document classification response message.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`LanguageServiceClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`LanguageServiceClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`LanguageServiceClient`	The constructed client.

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: typing.Optional[
        google.api_core.client_options.ClientOptions
    ] = None,
)

Deprecated. 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.

Parameter
Name	Description
`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.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

moderate_text

moderate_text(
    request: typing.Optional[
        typing.Union[
            google.cloud.language_v1.types.language_service.ModerateTextRequest, dict
        ]
    ] = None,
    *,
    document: typing.Optional[
        google.cloud.language_v1.types.language_service.Document
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.language_v1.types.language_service.ModerateTextResponse

Moderates a document for harmful and sensitive categories.

# 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_v1

def sample_moderate_text():
    # Create a client
    client = language_v1.LanguageServiceClient()

    # Initialize request argument(s)
    document = language_v1.Document()
    document.content = "content_value"

    request = language_v1.ModerateTextRequest(
        document=document,
    )

    # Make the request
    response = client.moderate_text(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
`request`	`Union[google.cloud.language_v1.types.ModerateTextRequest, dict]` The request object. The document moderation request message.
`document`	`google.cloud.language_v1.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.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
Type	Description
`google.cloud.language_v1.types.ModerateTextResponse`	The document moderation response message.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.