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IntentsClient
(
transport
=
None
,
channel
=
None
,
credentials
=
None
,
client_config
=
None
,
client_info
=
None
,
client_options
=
None
,
)
Service for managing Intents
.
Methods
IntentsClient
IntentsClient
(
transport
=
None
,
channel
=
None
,
credentials
=
None
,
client_config
=
None
,
client_info
=
None
,
client_options
=
None
,
)
Constructor.
channel
grpc.Channel
DEPRECATED. A Channel
instance through which to make calls. This argument is mutually exclusive with credentials
; providing both will raise an exception.
credentials
google.auth.credentials.Credentials
The authorization credentials to attach to requests. These credentials identify this application to the service. If none are specified, the client will attempt to ascertain the credentials from the environment. This argument is mutually exclusive with providing a transport instance to transport
; doing so will raise an exception.
client_config
dict
DEPRECATED. A dictionary of call options for each method. If not specified, the default configuration is used.
client_info
google.api_core.gapic_v1.client_info.ClientInfo
The client info used to send a user-agent string along with API requests. If None
, then default info will be used. Generally, you only need to set this if you're developing your own client library.
client_options
Union[dict, google.api_core.client_options.ClientOptions]
Client options used to set user options on the client. API Endpoint should be set through client_options.
agent_path
agent_path
(
project
,
agent
)
Return a fully-qualified agent string.
batch_delete_intents
batch_delete_intents
(
parent
,
intents
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Deletes intents in the specified agent.
Operation <response: google.protobuf.Empty
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
parent = client.agent_path('[PROJECT]')
TODO: Initialize
intents:intents = []
response = client.batch_delete_intents(parent, intents)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
parent
str
Required. The name of the agent to delete all entities types for. Format: projects/
.
intents
list[Union[dict, Intent
]]
Required. The collection of intents to delete. Only intent name
must be filled in. If a dict is provided, it must be of the same form as the protobuf message Intent
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError
batch_update_intents
batch_update_intents
(
parent
,
intent_batch_uri
=
None
,
intent_batch_inline
=
None
,
language_code
=
None
,
update_mask
=
None
,
intent_view
=
None
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Updates/Creates multiple intents in the specified agent.
Operation <response: BatchUpdateIntentsResponse
>
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
parent = client.agent_path('[PROJECT]')
response = client.batch_update_intents(parent)
def callback(operation_future): ... # Handle result. ... result = operation_future.result()
response.add_done_callback(callback)
Handle metadata.
metadata = response.metadata()
parent
str
Required. The name of the agent to update or create intents in. Format: projects/
.
intent_batch_uri
str
The URI to a Google Cloud Storage file containing intents to update or create. The file format can either be a serialized proto (of IntentBatch type) or JSON object. Note: The URI must start with "gs://".
intent_batch_inline
Union[dict, IntentBatch
]
The collection of intents to update or create. If a dict is provided, it must be of the same form as the protobuf message IntentBatch
language_code
str
Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity
__.
update_mask
Union[dict, FieldMask
]
Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask
intent_view
IntentView
Optional. The resource view to apply to the returned intent.
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError
create_intent
create_intent
(
parent
,
intent
,
language_code
=
None
,
intent_view
=
None
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Creates an intent in the specified agent.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
parent = client.agent_path('[PROJECT]')
TODO: Initialize
intent:intent = {}
response = client.create_intent(parent, intent)
parent
str
Required. The agent to create a intent for. Format: projects/
.
intent
Union[dict, Intent
]
Required. The intent to create. If a dict is provided, it must be of the same form as the protobuf message Intent
language_code
str
Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity
__.
intent_view
Intent
View
Optional. The resource view to apply to the returned intent.
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError
delete_intent
delete_intent
(
name
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Deletes the specified intent and its direct or indirect followup intents.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
name = client.intent_path('[PROJECT]', '[INTENT]')
client.delete_intent(name)
name
str
Required. The name of the intent to delete. If this intent has direct or indirect followup intents, we also delete them. Format: projects/
.
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError
from_service_account_file
from_service_account_file
(
filename
,
*
args
,
**
kwargs
)
Creates an instance of this client using the provided credentials file.
filename
str
The path to the service account private key json file.
dialogflow_v2.IntentsClient
from_service_account_json
from_service_account_json
(
filename
,
*
args
,
**
kwargs
)
Creates an instance of this client using the provided credentials file.
filename
str
The path to the service account private key json file.
dialogflow_v2.IntentsClient
get_intent
get_intent
(
name
,
language_code
=
None
,
intent_view
=
None
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Retrieves the specified intent.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
name = client.intent_path('[PROJECT]', '[INTENT]')
response = client.get_intent(name)
name
str
Required. The name of the intent. Format: projects/
.
language_code
str
Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity
__.
intent_view
IntentView
Optional. The resource view to apply to the returned intent.
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError
intent_path
intent_path
(
project
,
intent
)
Return a fully-qualified intent string.
list_intents
list_intents
(
parent
,
language_code
=
None
,
intent_view
=
None
,
page_size
=
None
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Returns the list of all intents in the specified agent.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
parent = client.agent_path('[PROJECT]')
Iterate over all results
for element in client.list_intents(parent): ... # process element ... pass
Alternatively:
Iterate over results one page at a time
for page in client.list_intents(parent).pages: ... for element in page: ... # process element ... pass
parent
str
Required. The agent to list all intents from. Format: projects/
.
language_code
str
Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity
__.
intent_view
IntentView
Optional. The resource view to apply to the returned intent.
page_size
int
The maximum number of resources contained in the underlying API response. If page streaming is performed per- resource, this parameter does not affect the return value. If page streaming is performed per-page, this determines the maximum number of resources in a page.
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError
project_agent_path
project_agent_path
(
project
)
Return a fully-qualified project_agent string.
update_intent
update_intent
(
intent
,
language_code
=
None
,
update_mask
=
None
,
intent_view
=
None
,
retry
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
timeout
=
< _MethodDefault
.
_DEFAULT_VALUE
:
< object
object
>> ,
metadata
=
None
)
Updates the specified intent.
.. rubric:: Example
import dialogflow_v2
client = dialogflow_v2.IntentsClient()
TODO: Initialize
intent:intent = {}
response = client.update_intent(intent)
intent
Union[dict, Intent
]
Required. The intent to update. If a dict is provided, it must be of the same form as the protobuf message Intent
language_code
str
Optional. The language used to access language-specific data. If not specified, the agent's default language is used. For more information, see Multilingual intent and entity data https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity
__.
update_mask
Union[dict, FieldMask
]
Optional. The mask to control which fields get updated. If a dict is provided, it must be of the same form as the protobuf message FieldMask
intent_view
Intent
View
Optional. The resource view to apply to the returned intent.
retry
Optional[google.api_core.retry.Retry]
A retry object used to retry requests. If None
is specified, requests will be retried using a default configuration.
timeout
Optional[float]
The amount of time, in seconds, to wait for the request to complete. Note that if retry
is specified, the timeout applies to each individual attempt.
metadata
Optional[Sequence[Tuple[str, str]]]
Additional metadata that is provided to the method.
google.api_core.exceptions.GoogleAPICallError
google.api_core.exceptions.RetryError
ValueError

