Class EntityTypesClient (2.14.1)

EntityTypesClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.entity_types.transports.base.EntityTypesTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for managing EntityTypes.

Inheritance

builtins.object > EntityTypesClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
EntityTypesTransportThe transport used by the client instance.

Methods

EntityTypesClient

EntityTypesClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2beta1.services.entity_types.transports.base.EntityTypesTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the entity types client.

Parameters
NameDescription
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, EntityTypesTransport]

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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

.. warning:: ONLY use as a context manager if the transport is NOT shared with other clients! Exiting the with block will CLOSE the transport and may cause errors in other clients!

batch_create_entities

batch_create_entities(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.BatchCreateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[Sequence[google.cloud.dialogflow_v2beta1.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates multiple new entities in the specified entity type.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_batch_create_entities():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    entities = dialogflow_v2beta1.Entity()
    entities.value = "value_value"

    request = dialogflow_v2beta1.BatchCreateEntitiesRequest(
        parent="parent_value",
        entities=entities,
    )

    # Make the request
    operation = client.batch_create_entities(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.BatchCreateEntitiesRequest, dict]

The request object. The request message for EntityTypes.BatchCreateEntities.

parent str

Required. The name of the entity type to create entities in. Supported formats: - projects/<Project ID>/agent/entityTypes/<Entity Type ID> - projects/<Project ID>/locations/<Location ID>/agent/entityTypes/<Entity Type ID> This corresponds to the parent field on the request instance; if request is provided, this should not be set.

entities Sequence[google.cloud.dialogflow_v2beta1.types.EntityType.Entity]

Required. The entities to create. This corresponds to the entities field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

batch_delete_entities

batch_delete_entities(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.BatchDeleteEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entity_values: Optional[Sequence[str]] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes entities in the specified entity type.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_batch_delete_entities():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.BatchDeleteEntitiesRequest(
        parent="parent_value",
        entity_values=['entity_values_value_1', 'entity_values_value_2'],
    )

    # Make the request
    operation = client.batch_delete_entities(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.BatchDeleteEntitiesRequest, dict]

The request object. The request message for EntityTypes.BatchDeleteEntities.

parent str

Required. The name of the entity type to delete entries for. Supported formats: - projects/<Project ID>/agent/entityTypes/<Entity Type ID> - projects/<Project ID>/locations/<Location ID>/agent/entityTypes/<Entity Type ID> This corresponds to the parent field on the request instance; if request is provided, this should not be set.

entity_values Sequence[str]

Required. The reference values of the entities to delete. Note that these are not fully-qualified names, i.e. they don't start with projects/<Project ID>. This corresponds to the entity_values field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

batch_delete_entity_types

batch_delete_entity_types(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.BatchDeleteEntityTypesRequest, dict]] = None, *, parent: Optional[str] = None, entity_type_names: Optional[Sequence[str]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes entity types in the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_batch_delete_entity_types():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.BatchDeleteEntityTypesRequest(
        parent="parent_value",
        entity_type_names=['entity_type_names_value_1', 'entity_type_names_value_2'],
    )

    # Make the request
    operation = client.batch_delete_entity_types(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.BatchDeleteEntityTypesRequest, dict]

The request object. The request message for EntityTypes.BatchDeleteEntityTypes.

parent str

Required. The name of the agent to delete all entities types for. Supported formats: - projects/<Project ID>/agent, - projects/<Project ID>/locations/<Location ID>/agent. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

entity_type_names Sequence[str]

Required. The names entity types to delete. All names must point to the same agent as parent. This corresponds to the entity_type_names 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

batch_update_entities

batch_update_entities(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.BatchUpdateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[Sequence[google.cloud.dialogflow_v2beta1.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates or creates multiple entities in the specified entity type. This method does not affect entities in the entity type that aren't explicitly specified in the request.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>__
from google.cloud import dialogflow_v2beta1

def sample_batch_update_entities():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    entities = dialogflow_v2beta1.Entity()
    entities.value = "value_value"

    request = dialogflow_v2beta1.BatchUpdateEntitiesRequest(
        parent="parent_value",
        entities=entities,
    )

    # Make the request
    operation = client.batch_update_entities(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.BatchUpdateEntitiesRequest, dict]

The request object. The request message for EntityTypes.BatchUpdateEntities.

parent str

Required. The name of the entity type to update or create entities in. Supported formats: - projects/<Project ID>/agent/entityTypes/<Entity Type ID> - projects/<Project ID>/locations/<Location ID>/agent/entityTypes/<Entity Type ID> This corresponds to the parent field on the request instance; if request is provided, this should not be set.

entities Sequence[google.cloud.dialogflow_v2beta1.types.EntityType.Entity]

Required. The entities to update or create. This corresponds to the entities field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be `google.protobuf.empty_pb2.Empty` A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

batch_update_entity_types

batch_update_entity_types(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.BatchUpdateEntityTypesRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates/Creates multiple entity types in the specified agent.

This method is a long-running operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>__. The returned Operation type has the following method-specific fields:

  • metadata: An empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: xref_BatchUpdateEntityTypesResponse

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_batch_update_entity_types():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.BatchUpdateEntityTypesRequest(
        entity_type_batch_uri="entity_type_batch_uri_value",
        parent="parent_value",
    )

    # Make the request
    operation = client.batch_update_entity_types(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.BatchUpdateEntityTypesRequest, dict]

The request object. The request message for EntityTypes.BatchUpdateEntityTypes.

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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be BatchUpdateEntityTypesResponse The response message for EntityTypes.BatchUpdateEntityTypes.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_entity_type

create_entity_type(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.CreateEntityTypeRequest, dict]] = None, *, parent: Optional[str] = None, entity_type: Optional[google.cloud.dialogflow_v2beta1.types.entity_type.EntityType] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates an entity type in the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_create_entity_type():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    entity_type = dialogflow_v2beta1.EntityType()
    entity_type.display_name = "display_name_value"
    entity_type.kind = "KIND_REGEXP"

    request = dialogflow_v2beta1.CreateEntityTypeRequest(
        parent="parent_value",
        entity_type=entity_type,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.CreateEntityTypeRequest, dict]

The request object. The request message for EntityTypes.CreateEntityType.

parent str

Required. The agent to create a entity type for. Supported formats: - projects/<Project ID>/agent - projects/<Project ID>/locations/<Location ID>/agent This corresponds to the parent field on the request instance; if request is provided, this should not be set.

entity_type google.cloud.dialogflow_v2beta1.types.EntityType

Required. The entity type to create. This corresponds to the entity_type field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code 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
TypeDescription
google.cloud.dialogflow_v2beta1.types.EntityTypeEach intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](\ https://cloud.google.com/dialogflow/docs/entities-overview).

delete_entity_type

delete_entity_type(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.DeleteEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes the specified entity type.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_delete_entity_type():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.DeleteEntityTypeRequest(
        name="name_value",
    )

    # Make the request
    client.delete_entity_type(request=request)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.DeleteEntityTypeRequest, dict]

The request object. The request message for EntityTypes.DeleteEntityType.

name str

Required. The name of the entity type to delete. Supported formats: - projects/<Project ID>/agent/entityTypes/<Entity Type ID> - projects/<Project ID>/locations/<Location ID>/agent/entityTypes/<Entity Type ID> This corresponds to the name 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.

entity_type_path

entity_type_path(project: str, entity_type: str)

Returns a fully-qualified entity_type 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
EntityTypesClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
EntityTypesClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
EntityTypesClientThe constructed client.

get_entity_type

get_entity_type(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.GetEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified entity type.

from google.cloud import dialogflow_v2beta1

def sample_get_entity_type():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.GetEntityTypeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.GetEntityTypeRequest, dict]

The request object. The request message for EntityTypes.GetEntityType.

name str

Required. The name of the entity type. Supported formats: - projects/<Project ID>/agent/entityTypes/<Entity Type ID> - projects/<Project ID>/locations/<Location ID>/agent/entityTypes/<Entity Type ID> This corresponds to the name field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code 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
TypeDescription
google.cloud.dialogflow_v2beta1.types.EntityTypeEach intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](\ https://cloud.google.com/dialogflow/docs/entities-overview).

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.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 variabel 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

list_entity_types

list_entity_types(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.ListEntityTypesRequest, dict]] = None, *, parent: Optional[str] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all entity types in the specified agent.

from google.cloud import dialogflow_v2beta1

def sample_list_entity_types():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ListEntityTypesRequest(
        parent="parent_value",
    )

    # Make the request
    page_result = client.list_entity_types(request=request)

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.ListEntityTypesRequest, dict]

The request object. The request message for EntityTypes.ListEntityTypes.

parent str

Required. The agent to list all entity types from. Supported formats: - projects/<Project ID>/agent - projects/<Project ID>/locations/<Location ID>/agent This corresponds to the parent field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code 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
TypeDescription
google.cloud.dialogflow_v2beta1.services.entity_types.pagers.ListEntityTypesPagerThe response message for EntityTypes.ListEntityTypes. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_entity_type_path

parse_entity_type_path(path: str)

Parses a entity_type path into its component segments.

update_entity_type

update_entity_type(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.entity_type.UpdateEntityTypeRequest, dict]] = None, *, entity_type: Optional[google.cloud.dialogflow_v2beta1.types.entity_type.EntityType] = None, language_code: Optional[str] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the specified entity type.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2beta1

def sample_update_entity_type():
    # Create a client
    client = dialogflow_v2beta1.EntityTypesClient()

    # Initialize request argument(s)
    entity_type = dialogflow_v2beta1.EntityType()
    entity_type.display_name = "display_name_value"
    entity_type.kind = "KIND_REGEXP"

    request = dialogflow_v2beta1.UpdateEntityTypeRequest(
        entity_type=entity_type,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.UpdateEntityTypeRequest, dict]

The request object. The request message for EntityTypes.UpdateEntityType.

entity_type google.cloud.dialogflow_v2beta1.types.EntityType

Required. The entity type to update. This corresponds to the entity_type field on the request instance; if request is provided, this should not be set.

language_code str

Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code field on the request instance; if request is provided, this should not be set.

update_mask google.protobuf.field_mask_pb2.FieldMask

Optional. The mask to control which fields get updated. This corresponds to the update_mask 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
TypeDescription
google.cloud.dialogflow_v2beta1.types.EntityTypeEach intent parameter has a type, called the entity type, which dictates exactly how data from an end-user expression is extracted. Dialogflow provides predefined system entities that can match many common types of data. For example, there are system entities for matching dates, times, colors, email addresses, and so on. You can also create your own custom entities for matching custom data. For example, you could define a vegetable entity that can match the types of vegetables available for purchase with a grocery store agent. For more information, see the [Entity guide](\ https://cloud.google.com/dialogflow/docs/entities-overview).