EntityTypesClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Entities are extracted from user input and represent parameters that are meaningful to your application. For example, a date range, a proper name such as a geographic location or landmark, and so on. Entities represent actionable data for your application.
When you define an entity, you can also include synonyms that all map to that entity. For example, "soft drink", "soda", "pop", and so on.
There are three types of entities:
System - entities that are defined by the Dialogflow API for common data types such as date, time, currency, and so on. A system entity is represented by the
EntityType
type.Custom - entities that are defined by you that represent actionable data that is meaningful to your application. For example, you could define a
pizza.sauce
entity for red or white pizza sauce, apizza.cheese
entity for the different types of cheese on a pizza, apizza.topping
entity for different toppings, and so on. A custom entity is represented by theEntityType
type.User - entities that are built for an individual user such as favorites, preferences, playlists, and so on. A user entity is represented by the
SessionEntityType
type.
For more information about entity types, see the Dialogflow
documentation <https://cloud.google.com/dialogflow/docs/entities-overview>
__.
Methods
EntityTypesClient
EntityTypesClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Constructor.
Parameters | |
---|---|
Name | Description |
channel |
grpc.Channel
DEPRECATED. A |
credentials |
google.auth.credentials.Credentials
The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to |
client_config |
dict
DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used. |
client_info |
google.api_core.gapic_v1.client_info.ClientInfo
The client info used to send a user-agent string along with API requests. If |
client_options |
Union[dict, google.api_core.client_options.ClientOptions]
Client options used to set user options on the client. API Endpoint should be set through client_options. |
batch_create_entities
batch_create_entities(parent, entities, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Creates multiple new entities in the specified entity type.
Operation <response: google.protobuf.Empty
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')
TODO: Initialize
entities
:entities = []
response = client.batch_create_entities(parent, entities)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The name of the entity type to create entities in. Format: |
entities |
list[Union[dict, Entity]]
Required. The entities to create. If a dict is provided, it must be of the same form as the protobuf message Entity |
language_code |
str
Optional. The language of entity synonyms defined in |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
batch_delete_entities
batch_delete_entities(parent, entity_values, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Deletes entities in the specified entity type.
Operation <response: google.protobuf.Empty
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')
TODO: Initialize
entity_values
:entity_values = []
response = client.batch_delete_entities(parent, entity_values)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The name of the entity type to delete entries for. Format: |
entity_values |
list[str]
Required. The reference |
language_code |
str
Optional. The language of entity synonyms defined in |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
batch_delete_entity_types
batch_delete_entity_types(parent, entity_type_names, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Deletes entity types in the specified agent.
Operation <response: google.protobuf.Empty
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.project_agent_path('[PROJECT]')
TODO: Initialize
entity_type_names
:entity_type_names = []
response = client.batch_delete_entity_types(parent, entity_type_names)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The name of the agent to delete all entities types for. Format: |
entity_type_names |
list[str]
Required. The names entity types to delete. All names must point to the same agent as |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
batch_update_entities
batch_update_entities(parent, entities, language_code=None, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Updates or creates multiple entities in the specified entity type. This method does not affect entities in the entity type that aren't explicitly specified in the request.
Operation <response: google.protobuf.Empty
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')
TODO: Initialize
entities
:entities = []
response = client.batch_update_entities(parent, entities)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The name of the entity type to update or create entities in. Format: |
entities |
list[Union[dict, Entity]]
Required. The entities to update or create. If a dict is provided, it must be of the same form as the protobuf message Entity |
language_code |
str
Optional. The language of entity synonyms defined in |
update_mask |
Union[dict, FieldMask]
Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
batch_update_entity_types
batch_update_entity_types(parent, entity_type_batch_uri=None, entity_type_batch_inline=None, language_code=None, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Updates/Creates multiple entity types in the specified agent.
Operation <response: BatchUpdateEntityTypesResponse
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.project_agent_path('[PROJECT]')
response = client.batch_update_entity_types(parent)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The name of the agent to update or create entity types in. Format: |
entity_type_batch_uri |
str
The URI to a Google Cloud Storage file containing entity types to update or create. The file format can either be a serialized proto (of EntityBatch type) or a JSON object. Note: The URI must start with "gs://". |
entity_type_batch_inline |
Union[dict, EntityTypeBatch]
The collection of entity types to update or create. If a dict is provided, it must be of the same form as the protobuf message EntityTypeBatch |
language_code |
str
Optional. The language of entity synonyms defined in |
update_mask |
Union[dict, FieldMask]
Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
create_entity_type
create_entity_type(parent, entity_type, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Creates an entity type in the specified agent.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.project_agent_path('[PROJECT]')
TODO: Initialize
entity_type
:entity_type = {}
response = client.create_entity_type(parent, entity_type)
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The agent to create a entity type for. Format: |
entity_type |
Union[dict, EntityType]
Required. The entity type to create. If a dict is provided, it must be of the same form as the protobuf message EntityType |
language_code |
str
Optional. The language of entity synonyms defined in |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
delete_entity_type
delete_entity_type(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Deletes the specified entity type.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
name = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')
client.delete_entity_type(name)
Parameters | |
---|---|
Name | Description |
name |
str
Required. The name of the entity type to delete. Format: |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
entity_type_path
entity_type_path(project, entity_type)
Return a fully-qualified entity_type string.
from_service_account_file
from_service_account_file(filename, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
dialogflow_v2.EntityTypesClient | The constructed client. |
from_service_account_json
from_service_account_json(filename, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
dialogflow_v2.EntityTypesClient | The constructed client. |
get_entity_type
get_entity_type(name, language_code=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Retrieves the specified entity type.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
name = client.entity_type_path('[PROJECT]', '[ENTITY_TYPE]')
response = client.get_entity_type(name)
Parameters | |
---|---|
Name | Description |
name |
str
Required. The name of the entity type. Format: |
language_code |
str
Optional. The language to retrieve entity synonyms for. If not specified, the agent's default language is used. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
list_entity_types
list_entity_types(parent, language_code=None, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Returns the list of all entity types in the specified agent.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
parent = client.project_agent_path('[PROJECT]')
Iterate over all results
for element in client.list_entity_types(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_entity_types(parent).pages: ... for element in page: ... # process element ... pass
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The agent to list all entity types from. Format: |
language_code |
str
Optional. The language to list entity synonyms for. If not specified, the agent's default language is used. |
page_size |
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page. |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |
project_agent_path
project_agent_path(project)
Return a fully-qualified project_agent string.
update_entity_type
update_entity_type(entity_type, language_code=None, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Updates the specified entity type.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.EntityTypesClient()
TODO: Initialize
entity_type
:entity_type = {}
response = client.update_entity_type(entity_type)
Parameters | |
---|---|
Name | Description |
entity_type |
Union[dict, EntityType]
Required. The entity type to update. If a dict is provided, it must be of the same form as the protobuf message EntityType |
language_code |
str
Optional. The language of entity synonyms defined in |
update_mask |
Union[dict, FieldMask]
Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask |
retry |
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If |
timeout |
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if |
metadata |
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method. |
Exceptions | |
---|---|
Type | Description |
google.api_core.exceptions.GoogleAPICallError | If the request failed for any reason. |
google.api_core.exceptions.RetryError | If the request failed due to a retryable error and retry attempts failed. |
ValueError | If the parameters are invalid. |