EntityTypes¶

async batch_delete_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchDeleteEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entity_values: Optional[MutableSequence[str]] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Deletes entities in the specified entity type.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_batch_delete_entities():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.BatchDeleteEntitiesRequest(
        parent="parent_value",
        entity_values=['entity_values_value1', 'entity_values_value2'],
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.BatchDeleteEntitiesRequest, dict]]) – The request object. The request message for [EntityTypes.BatchDeleteEntities][google.cloud.dialogflow.v2.EntityTypes.BatchDeleteEntities].
parent (str) –
Required. The name of the entity type to delete entries for. Format: projects/<Project 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 (MutableSequence[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.

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_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

An 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);

}

Return type

async batch_delete_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchDeleteEntityTypesRequest, dict]] = None, *, parent: Optional[str] = None, entity_type_names: Optional[MutableSequence[str]] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Deletes entity types in the specified agent.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_batch_delete_entity_types():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.BatchDeleteEntityTypesRequest(
        parent="parent_value",
        entity_type_names=['entity_type_names_value1', 'entity_type_names_value2'],
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.BatchDeleteEntityTypesRequest, dict]]) – The request object. The request message for [EntityTypes.BatchDeleteEntityTypes][google.cloud.dialogflow.v2.EntityTypes.BatchDeleteEntityTypes].
parent (str) –
Required. The name of the agent to delete all entities types for. Format: projects/<Project ID>/agent.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
entity_type_names (MutableSequence[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_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

An 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);

}

Return type

async batch_update_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchUpdateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[MutableSequence[google.cloud.dialogflow_v2.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

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.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_batch_update_entities():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    entities = dialogflow_v2.Entity()
    entities.value = "value_value"
    entities.synonyms = ['synonyms_value1', 'synonyms_value2']

    request = dialogflow_v2.BatchUpdateEntitiesRequest(
        parent="parent_value",
        entities=entities,
    )

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

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

    response = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.BatchUpdateEntitiesRequest, dict]]) – The request object. The request message for [EntityTypes.BatchUpdateEntities][google.cloud.dialogflow.v2.EntityTypes.BatchUpdateEntities].
parent (str) –
Required. The name of the entity type to update or create entities in. Format: projects/<Project 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 (MutableSequence[google.cloud.dialogflow_v2.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.

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_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

An 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);

}

Return type

async batch_update_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchUpdateEntityTypesRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]¶

Updates/Creates multiple entity types in the specified agent.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: [BatchUpdateEntityTypesResponse][google.cloud.dialogflow.v2.BatchUpdateEntityTypesResponse]

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_batch_update_entity_types():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.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 = (await operation).result()

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.BatchUpdateEntityTypesRequest, dict]]) – The request object. The request message for [EntityTypes.BatchUpdateEntityTypes][google.cloud.dialogflow.v2.EntityTypes.BatchUpdateEntityTypes].
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

An object representing a long-running operation.

The result type for the operation will be google.cloud.dialogflow_v2.types.BatchUpdateEntityTypesResponse The response message for: [EntityTypes.BatchUpdateEntityTypes][google.cloud.dialogflow.v2.EntityTypes.BatchUpdateEntityTypes].

Return type

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
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

None

static common_billing_account_path(billing_account: str) → str¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str¶: Returns a fully-qualified project string.

async create_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.CreateEntityTypeRequest, dict]] = None, *, parent: Optional[str] = None, entity_type: Optional[google.cloud.dialogflow_v2.types.entity_type.EntityType] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.types.entity_type.EntityType[source]¶

Creates an entity type in the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_create_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    entity_type = dialogflow_v2.EntityType()
    entity_type.display_name = "display_name_value"
    entity_type.kind = "KIND_REGEXP"

    request = dialogflow_v2.CreateEntityTypeRequest(
        parent="parent_value",
        entity_type=entity_type,
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.CreateEntityTypeRequest, dict]]) – The request object. The request message for [EntityTypes.CreateEntityType][google.cloud.dialogflow.v2.EntityTypes.CreateEntityType].
parent (str) –
Required. The agent to create a entity type for. Format: projects/<Project 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_v2.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.

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_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

Each 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).

Return type

async delete_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.DeleteEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes the specified entity type.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_delete_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.DeleteEntityTypeRequest(
        name="name_value",
    )

    # Make the request
    await client.delete_entity_type(request=request)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.DeleteEntityTypeRequest, dict]]) – The request object. The request message for [EntityTypes.DeleteEntityType][google.cloud.dialogflow.v2.EntityTypes.DeleteEntityType].
name (str) –
Required. The name of the entity type to delete. Format: projects/<Project ID>/agent/entityTypes/<EntityType 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_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.

static entity_type_path(project: str, entity_type: str) → str¶: Returns a fully-qualified entity_type string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

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

The constructed client.

Return type

EntityTypesAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

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

The constructed client.

Return type

EntityTypesAsyncClient

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

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

Parameters

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

The constructed client.

Return type

EntityTypesAsyncClient

async get_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.GetEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.types.entity_type.EntityType[source]¶

Retrieves the specified entity type.

# 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 dialogflow_v2

async def sample_get_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetEntityTypeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.GetEntityTypeRequest, dict]]) – The request object. The request message for [EntityTypes.GetEntityType][google.cloud.dialogflow.v2.EntityTypes.GetEntityType].
name (str) –
Required. The name of the entity type. Format: projects/<Project ID>/agent/entityTypes/<EntityType 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.

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_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

Each 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).

Return type

google.cloud.dialogflow_v2.services.entity_types.pagers.ListEntityTypesAsyncPager

async get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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.

Parameters

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

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
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

An Operation object.

Return type

Operation

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport]¶

Returns an appropriate transport class.

Parameters: label – The name of the desired transport. If none is provided, then the first transport in the registry is used.
Returns: The transport class to use.

async list_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.ListEntityTypesRequest, dict]] = None, *, parent: Optional[str] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.services.entity_types.pagers.ListEntityTypesAsyncPager[source]¶

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

# 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 dialogflow_v2

async def sample_list_entity_types():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2.ListEntityTypesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    async for response in page_result:
        print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.ListEntityTypesRequest, dict]]) – The request object. The request message for [EntityTypes.ListEntityTypes][google.cloud.dialogflow.v2.EntityTypes.ListEntityTypes].
parent (str) –
Required. The agent to list all entity types from. Format: projects/<Project 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.

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_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

The response message for: [EntityTypes.ListEntityTypes][google.cloud.dialogflow.v2.EntityTypes.ListEntityTypes].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

async list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
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

Response message for ListLocations method.

Return type

ListLocationsResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
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

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_common_billing_account_path(path: str) → Dict[str, str]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]¶: Parse a project path into its component segments.

static parse_entity_type_path(path: str) → Dict[str, str]¶: Parses a entity_type path into its component segments.

property transport: google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport¶

Returns the transport used by the client instance.

Returns: The transport used by the client instance.
Return type: EntityTypesTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns

The universe domain used: by the client instance.

Return type

str

async update_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.UpdateEntityTypeRequest, dict]] = None, *, entity_type: Optional[google.cloud.dialogflow_v2.types.entity_type.EntityType] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.types.entity_type.EntityType[source]¶

Updates the specified entity type.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

async def sample_update_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesAsyncClient()

    # Initialize request argument(s)
    entity_type = dialogflow_v2.EntityType()
    entity_type.display_name = "display_name_value"
    entity_type.kind = "KIND_REGEXP"

    request = dialogflow_v2.UpdateEntityTypeRequest(
        entity_type=entity_type,
    )

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

    # Handle the response
    print(response)

Parameters

request (Optional[Union[google.cloud.dialogflow_v2.types.UpdateEntityTypeRequest, dict]]) – The request object. The request message for [EntityTypes.UpdateEntityType][google.cloud.dialogflow.v2.EntityTypes.UpdateEntityType].
entity_type (google.cloud.dialogflow_v2.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.

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_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

Each 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).

Return type

class google.cloud.dialogflow_v2.services.entity_types.EntityTypesClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport, typing.Callable[[...], google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport]]] = 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>)[source]¶

Service for managing [EntityTypes][google.cloud.dialogflow.v2.EntityType].

Instantiates the entity types client.

Parameters

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,EntityTypesTransport,Callable[..., EntityTypesTransport]]]) – The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the EntityTypesTransport 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 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.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]¶: 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!

property api_endpoint¶

Return the API endpoint used by the client instance.

Returns: The API endpoint used by the client instance.
Return type: str

batch_create_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchCreateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[MutableSequence[google.cloud.dialogflow_v2.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Creates multiple new entities in the specified entity type.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_batch_create_entities():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    entities = dialogflow_v2.Entity()
    entities.value = "value_value"
    entities.synonyms = ['synonyms_value1', 'synonyms_value2']

    request = dialogflow_v2.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

request (Union[google.cloud.dialogflow_v2.types.BatchCreateEntitiesRequest, dict]) – The request object. The request message for [EntityTypes.BatchCreateEntities][google.cloud.dialogflow.v2.EntityTypes.BatchCreateEntities].
parent (str) –
Required. The name of the entity type to create entities in. Format: projects/<Project 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 (MutableSequence[google.cloud.dialogflow_v2.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.

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

An 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);

}

Return type

batch_delete_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchDeleteEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entity_values: Optional[MutableSequence[str]] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Deletes entities in the specified entity type.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_batch_delete_entities():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.BatchDeleteEntitiesRequest(
        parent="parent_value",
        entity_values=['entity_values_value1', 'entity_values_value2'],
    )

    # 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

request (Union[google.cloud.dialogflow_v2.types.BatchDeleteEntitiesRequest, dict]) – The request object. The request message for [EntityTypes.BatchDeleteEntities][google.cloud.dialogflow.v2.EntityTypes.BatchDeleteEntities].
parent (str) –
Required. The name of the entity type to delete entries for. Format: projects/<Project 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 (MutableSequence[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.

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

An 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);

}

Return type

batch_delete_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchDeleteEntityTypesRequest, dict]] = None, *, parent: Optional[str] = None, entity_type_names: Optional[MutableSequence[str]] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Deletes entity types in the specified agent.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_batch_delete_entity_types():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.BatchDeleteEntityTypesRequest(
        parent="parent_value",
        entity_type_names=['entity_type_names_value1', 'entity_type_names_value2'],
    )

    # 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

request (Union[google.cloud.dialogflow_v2.types.BatchDeleteEntityTypesRequest, dict]) – The request object. The request message for [EntityTypes.BatchDeleteEntityTypes][google.cloud.dialogflow.v2.EntityTypes.BatchDeleteEntityTypes].
parent (str) –
Required. The name of the agent to delete all entities types for. Format: projects/<Project ID>/agent.

This corresponds to the parent field on the request instance; if request is provided, this should not be set.
entity_type_names (MutableSequence[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

An 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);

}

Return type

batch_update_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchUpdateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[MutableSequence[google.cloud.dialogflow_v2.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

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.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: An Empty message

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_batch_update_entities():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    entities = dialogflow_v2.Entity()
    entities.value = "value_value"
    entities.synonyms = ['synonyms_value1', 'synonyms_value2']

    request = dialogflow_v2.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

request (Union[google.cloud.dialogflow_v2.types.BatchUpdateEntitiesRequest, dict]) – The request object. The request message for [EntityTypes.BatchUpdateEntities][google.cloud.dialogflow.v2.EntityTypes.BatchUpdateEntities].
parent (str) –
Required. The name of the entity type to update or create entities in. Format: projects/<Project 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 (MutableSequence[google.cloud.dialogflow_v2.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.

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

An 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);

}

Return type

batch_update_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchUpdateEntityTypesRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation.Operation[source]¶

Updates/Creates multiple entity types in the specified agent.

This method is a long-running operation. The returned Operation type has the following method-specific fields:

metadata: An empty Struct message
response: [BatchUpdateEntityTypesResponse][google.cloud.dialogflow.v2.BatchUpdateEntityTypesResponse]

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_batch_update_entity_types():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.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

request (Union[google.cloud.dialogflow_v2.types.BatchUpdateEntityTypesRequest, dict]) – The request object. The request message for [EntityTypes.BatchUpdateEntityTypes][google.cloud.dialogflow.v2.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

An object representing a long-running operation.

The result type for the operation will be google.cloud.dialogflow_v2.types.BatchUpdateEntityTypesResponse The response message for: [EntityTypes.BatchUpdateEntityTypes][google.cloud.dialogflow.v2.EntityTypes.BatchUpdateEntityTypes].

Return type

cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn’t support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters

request (CancelOperationRequest) – The request object. Request message for CancelOperation method.
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

None

static common_billing_account_path(billing_account: str) → str[source]¶: Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]¶: Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]¶: Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]¶: Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]¶: Returns a fully-qualified project string.

create_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.CreateEntityTypeRequest, dict]] = None, *, parent: Optional[str] = None, entity_type: Optional[google.cloud.dialogflow_v2.types.entity_type.EntityType] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.types.entity_type.EntityType[source]¶

Creates an entity type in the specified agent.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_create_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    entity_type = dialogflow_v2.EntityType()
    entity_type.display_name = "display_name_value"
    entity_type.kind = "KIND_REGEXP"

    request = dialogflow_v2.CreateEntityTypeRequest(
        parent="parent_value",
        entity_type=entity_type,
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.CreateEntityTypeRequest, dict]) – The request object. The request message for [EntityTypes.CreateEntityType][google.cloud.dialogflow.v2.EntityTypes.CreateEntityType].
parent (str) –
Required. The agent to create a entity type for. Format: projects/<Project 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_v2.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.

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

Each 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).

Return type

delete_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.DeleteEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]¶

Deletes the specified entity type.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_delete_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.DeleteEntityTypeRequest(
        name="name_value",
    )

    # Make the request
    client.delete_entity_type(request=request)

Parameters

request (Union[google.cloud.dialogflow_v2.types.DeleteEntityTypeRequest, dict]) – The request object. The request message for [EntityTypes.DeleteEntityType][google.cloud.dialogflow.v2.EntityTypes.DeleteEntityType].
name (str) –
Required. The name of the entity type to delete. Format: projects/<Project ID>/agent/entityTypes/<EntityType 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.

static entity_type_path(project: str, entity_type: str) → str[source]¶: Returns a fully-qualified entity_type string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]¶

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

Parameters

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

The constructed client.

Return type

EntityTypesClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]¶

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

Parameters

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

The constructed client.

Return type

EntityTypesClient

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

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

Parameters

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

The constructed client.

Return type

EntityTypesClient

get_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.GetEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.types.entity_type.EntityType[source]¶

Retrieves the specified entity type.

# 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 dialogflow_v2

def sample_get_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.GetEntityTypeRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.GetEntityTypeRequest, dict]) – The request object. The request message for [EntityTypes.GetEntityType][google.cloud.dialogflow.v2.EntityTypes.GetEntityType].
name (str) –
Required. The name of the entity type. Format: projects/<Project ID>/agent/entityTypes/<EntityType 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.

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

Each 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).

Return type

google.cloud.dialogflow_v2.services.entity_types.pagers.ListEntityTypesPager

get_location(request: Optional[google.cloud.location.locations_pb2.GetLocationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.Location[source]¶

Gets information about a location.

Parameters

request (GetLocationRequest) – The request object. Request message for GetLocation method.
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

Location object.

Return type

Location

classmethod get_mtls_endpoint_and_cert_source(client_options: Optional[google.api_core.client_options.ClientOptions] = None)[source]¶

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.

Parameters

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

returns the API endpoint and the: client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]¶

Gets the latest state of a long-running operation.

Parameters

request (GetOperationRequest) – The request object. Request message for GetOperation method.
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

An Operation object.

Return type

Operation

list_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.ListEntityTypesRequest, dict]] = None, *, parent: Optional[str] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.services.entity_types.pagers.ListEntityTypesPager[source]¶

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

# 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 dialogflow_v2

def sample_list_entity_types():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    request = dialogflow_v2.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

request (Union[google.cloud.dialogflow_v2.types.ListEntityTypesRequest, dict]) – The request object. The request message for [EntityTypes.ListEntityTypes][google.cloud.dialogflow.v2.EntityTypes.ListEntityTypes].
parent (str) –
Required. The agent to list all entity types from. Format: projects/<Project 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.

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

The response message for: [EntityTypes.ListEntityTypes][google.cloud.dialogflow.v2.EntityTypes.ListEntityTypes].

Iterating over this object will yield results and resolve additional pages automatically.

Return type

list_locations(request: Optional[google.cloud.location.locations_pb2.ListLocationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.location.locations_pb2.ListLocationsResponse[source]¶

Lists information about the supported locations for this service.

Parameters

request (ListLocationsRequest) – The request object. Request message for ListLocations method.
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

Response message for ListLocations method.

Return type

ListLocationsResponse

list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]¶

Lists operations that match the specified filter in the request.

Parameters

request (ListOperationsRequest) – The request object. Request message for ListOperations method.
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

Response message for ListOperations method.

Return type

ListOperationsResponse

static parse_common_billing_account_path(path: str) → Dict[str, str][source]¶: Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]¶: Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]¶: Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]¶: Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]¶: Parse a project path into its component segments.

static parse_entity_type_path(path: str) → Dict[str, str][source]¶: Parses a entity_type path into its component segments.

property transport: google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport¶

Returns the transport used by the client instance.

Returns

The transport used by the client: instance.

Return type

EntityTypesTransport

property universe_domain: str¶

Return the universe domain used by the client instance.

Returns: The universe domain used by the client instance.
Return type: str

update_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.UpdateEntityTypeRequest, dict]] = None, *, entity_type: Optional[google.cloud.dialogflow_v2.types.entity_type.EntityType] = None, language_code: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.dialogflow_v2.types.entity_type.EntityType[source]¶

Updates the specified entity type.

Note: You should always train an agent prior to sending it queries. See the training documentation.

# 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 dialogflow_v2

def sample_update_entity_type():
    # Create a client
    client = dialogflow_v2.EntityTypesClient()

    # Initialize request argument(s)
    entity_type = dialogflow_v2.EntityType()
    entity_type.display_name = "display_name_value"
    entity_type.kind = "KIND_REGEXP"

    request = dialogflow_v2.UpdateEntityTypeRequest(
        entity_type=entity_type,
    )

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

    # Handle the response
    print(response)

Parameters

request (Union[google.cloud.dialogflow_v2.types.UpdateEntityTypeRequest, dict]) – The request object. The request message for [EntityTypes.UpdateEntityType][google.cloud.dialogflow.v2.EntityTypes.UpdateEntityType].
entity_type (google.cloud.dialogflow_v2.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.

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

Each 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).

Return type