EntityTypesClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Service for managing EntityTypes.
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
EntityTypesTransport | The transport used by the client instance. |
Methods
EntityTypesClient
EntityTypesClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2.services.entity_types.transports.base.EntityTypesTransport]] = None, client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)
Instantiates the entity types client.
Parameters | |
---|---|
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str, EntityTypesTransport]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. It won't take effect if a |
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 |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If mutual TLS transport creation failed for any reason. |
batch_create_entities
batch_create_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchCreateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[Sequence[google.cloud.dialogflow_v2.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates multiple new entities in the specified entity type.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: AnEmpty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>
__
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.BatchCreateEntitiesRequest, dict]
The request object. The request message for EntityTypes.BatchCreateEntities. |
parent |
str
Required. The name of the entity type to create entities in. Format: |
entities |
Sequence[google.cloud.dialogflow_v2.types.EntityType.Entity]
Required. The entities to create. This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | 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); } The JSON representation for Empty is empty JSON object {}. |
batch_delete_entities
batch_delete_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchDeleteEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entity_values: Optional[Sequence[str]] = None, language_code: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes entities in the specified entity type.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: AnEmpty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>
__
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.BatchDeleteEntitiesRequest, dict]
The request object. The request message for EntityTypes.BatchDeleteEntities. |
parent |
str
Required. The name of the entity type to delete entries for. Format: |
entity_values |
Sequence[str]
Required. The reference |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | 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); } The JSON representation for Empty is empty JSON object {}. |
batch_delete_entity_types
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[Sequence[str]] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes entity types in the specified agent.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: AnEmpty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>
__
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.BatchDeleteEntityTypesRequest, dict]
The request object. The request message for EntityTypes.BatchDeleteEntityTypes. |
parent |
str
Required. The name of the agent to delete all entities types for. Format: |
entity_type_names |
Sequence[str]
Required. The names entity types to delete. All names must point to the same agent as |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | 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); } The JSON representation for Empty is empty JSON object {}. |
batch_update_entities
batch_update_entities(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchUpdateEntitiesRequest, dict]] = None, *, parent: Optional[str] = None, entities: Optional[Sequence[google.cloud.dialogflow_v2.types.entity_type.EntityType.Entity]] = None, language_code: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates or creates multiple entities in the specified entity type. This method does not affect entities in the entity type that aren't explicitly specified in the request.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: AnEmpty message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#empty>
__
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.BatchUpdateEntitiesRequest, dict]
The request object. The request message for EntityTypes.BatchUpdateEntities. |
parent |
str
Required. The name of the entity type to update or create entities in. Format: |
entities |
Sequence[google.cloud.dialogflow_v2.types.EntityType.Entity]
Required. The entities to update or create. This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | 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); } The JSON representation for Empty is empty JSON object {}. |
batch_update_entity_types
batch_update_entity_types(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.BatchUpdateEntityTypesRequest, dict]] = None, *, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates/Creates multiple entity types in the specified agent.
This method is a long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: xref_BatchUpdateEntityTypesResponse
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.BatchUpdateEntityTypesRequest, dict]
The request object. The request message for EntityTypes.BatchUpdateEntityTypes. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be BatchUpdateEntityTypesResponse The response message for EntityTypes.BatchUpdateEntityTypes. |
common_billing_account_path
common_billing_account_path(billing_account: str)
Returns a fully-qualified billing_account string.
common_folder_path
common_folder_path(folder: str)
Returns a fully-qualified folder string.
common_location_path
common_location_path(project: str, location: str)
Returns a fully-qualified location string.
common_organization_path
common_organization_path(organization: str)
Returns a fully-qualified organization string.
common_project_path
common_project_path(project: str)
Returns a fully-qualified project string.
create_entity_type
create_entity_type(request: Optional[Union[google.cloud.dialogflow_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: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Creates an entity type in the specified agent.
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.CreateEntityTypeRequest, dict]
The request object. The request message for EntityTypes.CreateEntityType. |
parent |
str
Required. The agent to create a entity type for. Format: |
entity_type |
google.cloud.dialogflow_v2.types.EntityType
Required. The entity type to create. This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.EntityType | 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). |
delete_entity_type
delete_entity_type(request: Optional[Union[google.cloud.dialogflow_v2.types.entity_type.DeleteEntityTypeRequest, dict]] = None, *, name: Optional[str] = None, retry: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Deletes the specified entity type.
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.DeleteEntityTypeRequest, dict]
The request object. The request message for EntityTypes.DeleteEntityType. |
name |
str
Required. The name of the entity type to delete. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
entity_type_path
entity_type_path(project: str, entity_type: str)
Returns a fully-qualified entity_type string.
from_service_account_file
from_service_account_file(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
EntityTypesClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
EntityTypesClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
EntityTypesClient | The constructed client. |
get_entity_type
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: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Retrieves the specified entity type.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.GetEntityTypeRequest, dict]
The request object. The request message for EntityTypes.GetEntityType. |
name |
str
Required. The name of the entity type. Format: |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.EntityType | 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). |
list_entity_types
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: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Returns the list of all entity types in the specified agent.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.ListEntityTypesRequest, dict]
The request object. The request message for EntityTypes.ListEntityTypes. |
parent |
str
Required. The agent to list all entity types from. Format: |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.services.entity_types.pagers.ListEntityTypesPager | The response message for EntityTypes.ListEntityTypes. Iterating over this object will yield results and resolve additional pages automatically. |
parse_common_billing_account_path
parse_common_billing_account_path(path: str)
Parse a billing_account path into its component segments.
parse_common_folder_path
parse_common_folder_path(path: str)
Parse a folder path into its component segments.
parse_common_location_path
parse_common_location_path(path: str)
Parse a location path into its component segments.
parse_common_organization_path
parse_common_organization_path(path: str)
Parse a organization path into its component segments.
parse_common_project_path
parse_common_project_path(path: str)
Parse a project path into its component segments.
parse_entity_type_path
parse_entity_type_path(path: str)
Parses a entity_type path into its component segments.
update_entity_type
update_entity_type(request: Optional[Union[google.cloud.dialogflow_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: google.api_core.retry.Retry = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())
Updates the specified entity type.
Note: You should always train an agent prior to sending it
queries. See the training
documentation <https://cloud.google.com/dialogflow/es/docs/training>
__.
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflow_v2.types.UpdateEntityTypeRequest, dict]
The request object. The request message for EntityTypes.UpdateEntityType. |
entity_type |
google.cloud.dialogflow_v2.types.EntityType
Required. The entity type to update. This corresponds to the |
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 |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflow_v2.types.EntityType | 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). |