Class EntityTypesClient (1.1.3)

EntityTypesClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Service for managing EntityTypes.

Methods

EntityTypesClient

EntityTypesClient(
    transport=None,
    channel=None,
    credentials=None,
    client_config=None,
    client_info=None,
    client_options=None,
)

Constructor.

Parameters
NameDescription
channel grpc.Channel

DEPRECATED. A Channel instance through which to make calls. This argument is mutually exclusive with credentials; providing both will raise an exception.

credentials google.auth.credentials.Credentials

The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport; doing so will raise an exception.

client_config dict

DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is 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.

client_options Union[dict, google.api_core.client_options.ClientOptions]

Client options used to set user options on the client. API Endpoint should be set through client_options.

agent_path

agent_path(project)

Return a fully-qualified agent string.

batch_create_entities

batch_create_entities(parent, entities, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates multiple new entities in the specified entity type.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')

TODO: Initialize entities:

entities = []

response = client.batch_create_entities(parent, entities)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
parent str

Required. The name of the entity type to create entities in. Format: projects/.

entities list[Union[dict, Entity]]

Required. The entities to create. If a dict is provided, it must be of the same form as the protobuf message Entity

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__.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

batch_delete_entities

batch_delete_entities(parent, entity_values, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes entities in the specified entity type.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')

TODO: Initialize entity_values:

entity_values = []

response = client.batch_delete_entities(parent, entity_values)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
parent str

Required. The name of the entity type to delete entries for. Format: projects/.

entity_values list[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/.

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__.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

batch_delete_entity_types

batch_delete_entity_types(parent, entity_type_names, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes entity types in the specified agent.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.agent_path('[PROJECT]')

TODO: Initialize entity_type_names:

entity_type_names = []

response = client.batch_delete_entity_types(parent, entity_type_names)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
parent str

Required. The name of the agent to delete all entities types for. Format: projects/.

entity_type_names list[str]

Required. The names entity types to delete. All names must point to the same agent as parent.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

batch_update_entities

batch_update_entities(parent, entities, language_code=None, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

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.

Operation <response: google.protobuf.Empty>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')

TODO: Initialize entities:

entities = []

response = client.batch_update_entities(parent, entities)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
parent str

Required. The name of the entity type to update or create entities in. Format: projects/.

entities list[Union[dict, Entity]]

Required. The entities to update or create. If a dict is provided, it must be of the same form as the protobuf message Entity

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__.

update_mask Union[dict, FieldMask]

Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

batch_update_entity_types

batch_update_entity_types(parent, entity_type_batch_uri=None, entity_type_batch_inline=None, language_code=None, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates/Creates multiple entity types in the specified agent.

Operation <response: BatchUpdateEntityTypesResponse>

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.agent_path('[PROJECT]')

response = client.batch_update_entity_types(parent)

def callback(operation_future): ... # Handle result. ... result = operation_future.result()

response.add_done_callback(callback)

Handle metadata.

metadata = response.metadata()

Parameters
NameDescription
parent str

Required. The name of the agent to update or create entity types in. Format: projects/.

entity_type_batch_uri str

The URI to a Google Cloud Storage file containing entity types to update or create. The file format can either be a serialized proto (of EntityBatch type) or a JSON object. Note: The URI must start with "gs://".

entity_type_batch_inline Union[dict, EntityTypeBatch]

The collection of entity types to update or create. If a dict is provided, it must be of the same form as the protobuf message EntityTypeBatch

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__.

update_mask Union[dict, FieldMask]

Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

create_entity_type

create_entity_type(parent, entity_type, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Creates an entity type in the specified agent.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.agent_path('[PROJECT]')

TODO: Initialize entity_type:

entity_type = {}

response = client.create_entity_type(parent, entity_type)

Parameters
NameDescription
parent str

Required. The agent to create a entity type for. Format: projects/.

entity_type Union[dict, EntityType]

Required. The entity type to create. If a dict is provided, it must be of the same form as the protobuf message EntityType

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__.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

delete_entity_type

delete_entity_type(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Deletes the specified entity type.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

name = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')

client.delete_entity_type(name)

Parameters
NameDescription
name str

Required. The name of the entity type to delete. Format: projects/.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

entity_type_path

entity_type_path(project, entity_type)

Return a fully-qualified entity_type string.

from_service_account_file

from_service_account_file(filename, *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
dialogflow_v2.EntityTypesClientThe constructed client.

from_service_account_json

from_service_account_json(filename, *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
dialogflow_v2.EntityTypesClientThe constructed client.

get_entity_type

get_entity_type(name, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Retrieves the specified entity type.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

name = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')

response = client.get_entity_type(name)

Parameters
NameDescription
name str

Required. The name of the entity type. Format: projects/.

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__.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

list_entity_types

list_entity_types(parent, language_code=None, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

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

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

parent = client.agent_path('[PROJECT]')

Iterate over all results

for element in client.list_entity_types(parent): ... # process element ... pass

Alternatively:

Iterate over results one page at a time

for page in client.list_entity_types(parent).pages: ... for element in page: ... # process element ... pass

Parameters
NameDescription
parent str

Required. The agent to list all entity types from. Format: projects/.

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__.

page_size int

The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.

project_agent_path

project_agent_path(project)

Return a fully-qualified project_agent string.

update_entity_type

update_entity_type(entity_type, language_code=None, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)

Updates the specified entity type.

.. rubric:: Example

import dialogflow_v2

client = dialogflow_v2.EntityTypesClient()

TODO: Initialize entity_type:

entity_type = {}

response = client.update_entity_type(entity_type)

Parameters
NameDescription
entity_type Union[dict, EntityType]

Required. The entity type to update. If a dict is provided, it must be of the same form as the protobuf message EntityType

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__.

update_mask Union[dict, FieldMask]

Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask

retry Optional[google.api_core.retry.Retry]

A retry object used to retry requests. If None is specified, requests will be retried using a default configuration.

timeout Optional[float]

The amount of time, in seconds, to wait for the request to complete. Note that if retry is specified, the timeout applies to each individual attempt.

metadata Optional[Sequence[Tuple[str, str]]]

Additional metadata that is provided to the method.

Exceptions
TypeDescription
google.api_core.exceptions.GoogleAPICallErrorIf the request failed for any reason.
google.api_core.exceptions.RetryErrorIf the request failed due to a retryable error and retry attempts failed.
ValueErrorIf the parameters are invalid.