SessionEntityTypesClient(
transport=None,
channel=None,
credentials=None,
client_config=None,
client_info=None,
client_options=None,
)
Service for managing SessionEntityTypes
.
Methods
SessionEntityTypesClient
SessionEntityTypesClient(
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. |
create_session_entity_type
create_session_entity_type(parent, session_entity_type, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Creates a session entity type.
If the specified session entity type already exists, overrides the session entity type.
This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration.
.. rubric:: Example
import dialogflow_v2beta1
client = dialogflow_v2beta1.SessionEntityTypesClient()
TODO: Initialize
parent
:parent = ''
TODO: Initialize
session_entity_type
:session_entity_type = {}
response = client.create_session_entity_type(parent, session_entity_type)
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The session to create a session entity type for. Format: |
session_entity_type |
Union[dict, SessionEntityType]
Required. The session entity type to create. If a dict is provided, it must be of the same form as the protobuf message SessionEntityType |
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_session_entity_type
delete_session_entity_type(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Deletes the specified session entity type.
This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration.
.. rubric:: Example
import dialogflow_v2beta1
client = dialogflow_v2beta1.SessionEntityTypesClient()
TODO: Initialize
name
:name = ''
client.delete_session_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. |
environment_session_entity_type_path
environment_session_entity_type_path(
project, environment, user, session, entity_type
)
Return a fully-qualified environment_session_entity_type string.
environment_session_path
environment_session_path(project, environment, user, session)
Return a fully-qualified environment_session 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_v2beta1.SessionEntityTypesClient | 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_v2beta1.SessionEntityTypesClient | The constructed client. |
get_session_entity_type
get_session_entity_type(name, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Retrieves the specified session entity type.
This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration.
.. rubric:: Example
import dialogflow_v2beta1
client = dialogflow_v2beta1.SessionEntityTypesClient()
TODO: Initialize
name
:name = ''
response = client.get_session_entity_type(name)
Parameters | |
---|---|
Name | Description |
name |
str
Required. The name of the session entity type. 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. |
list_session_entity_types
list_session_entity_types(parent, page_size=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Returns the list of all session entity types in the specified session.
This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration.
.. rubric:: Example
import dialogflow_v2beta1
client = dialogflow_v2beta1.SessionEntityTypesClient()
TODO: Initialize
parent
:parent = ''
Iterate over all results
for element in client.list_session_entity_types(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_session_entity_types(parent).pages: ... for element in page: ... # process element ... pass
Parameters | |
---|---|
Name | Description |
parent |
str
Required. The session to list all session entity types from. Format: |
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. |
session_entity_type_path
session_entity_type_path(project, session, entity_type)
Return a fully-qualified session_entity_type string.
session_path
session_path(project, session)
Return a fully-qualified session string.
update_session_entity_type
update_session_entity_type(session_entity_type, update_mask=None, retry=<_MethodDefault._DEFAULT_VALUE: <object object>>, timeout=<_MethodDefault._DEFAULT_VALUE: <object object>>, metadata=None)
Updates the specified session entity type.
This method doesn't work with Google Assistant integration. Contact Dialogflow support if you need to use session entities with Google Assistant integration.
.. rubric:: Example
import dialogflow_v2beta1
client = dialogflow_v2beta1.SessionEntityTypesClient()
TODO: Initialize
session_entity_type
:session_entity_type = {}
response = client.update_session_entity_type(session_entity_type)
Parameters | |
---|---|
Name | Description |
session_entity_type |
Union[dict, SessionEntityType]
Required. The session entity type to update. If a dict is provided, it must be of the same form as the protobuf message SessionEntityType |
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. |