Class IntentsClient (2.14.0)

IntentsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2.services.intents.transports.base.IntentsTransport]] = 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 Intents.

Inheritance

builtins.object > IntentsClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
IntentsTransportThe transport used by the client instance.

Methods

IntentsClient

IntentsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflow_v2.services.intents.transports.base.IntentsTransport]] = 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 intents client.

Parameters
NameDescription
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, IntentsTransport]

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 transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS 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.

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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

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!

batch_delete_intents

batch_delete_intents(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.BatchDeleteIntentsRequest, dict]] = None, *, parent: Optional[str] = None, intents: Optional[Sequence[google.cloud.dialogflow_v2.types.intent.Intent]] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes intents 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 empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: An Empty 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>__.

from google.cloud import dialogflow_v2

def sample_batch_delete_intents():
    # Create a client
    client = dialogflow_v2.IntentsClient()

    # Initialize request argument(s)
    intents = dialogflow_v2.Intent()
    intents.display_name = "display_name_value"

    request = dialogflow_v2.BatchDeleteIntentsRequest(
        parent="parent_value",
        intents=intents,
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.BatchDeleteIntentsRequest, dict]

The request object. The request message for Intents.BatchDeleteIntents.

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.

intents Sequence[google.cloud.dialogflow_v2.types.Intent]

Required. The collection of intents to delete. Only intent name must be filled in. This corresponds to the intents 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
TypeDescription
google.api_core.operation.OperationAn 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_intents

batch_update_intents(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.BatchUpdateIntentsRequest, dict]] = None, *, parent: Optional[str] = None, intent_batch_uri: Optional[str] = None, intent_batch_inline: Optional[google.cloud.dialogflow_v2.types.intent.IntentBatch] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates/Creates multiple intents 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 empty Struct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>__
  • response: xref_BatchUpdateIntentsResponse

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2

def sample_batch_update_intents():
    # Create a client
    client = dialogflow_v2.IntentsClient()

    # Initialize request argument(s)
    request = dialogflow_v2.BatchUpdateIntentsRequest(
        intent_batch_uri="intent_batch_uri_value",
        parent="parent_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.BatchUpdateIntentsRequest, dict]

The request object.

parent str

Required. The name of the agent to update or create intents in. Format: projects/<Project ID>/agent. This corresponds to the parent field on the request instance; if request is provided, this should not be set.

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://". This corresponds to the intent_batch_uri field on the request instance; if request is provided, this should not be set.

intent_batch_inline google.cloud.dialogflow_v2.types.IntentBatch

The collection of intents to update or create. This corresponds to the intent_batch_inline 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
TypeDescription
google.api_core.operation.OperationAn object representing a long-running operation. The result type for the operation will be BatchUpdateIntentsResponse The response message for Intents.BatchUpdateIntents.

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.

context_path

context_path(project: str, session: str, context: str)

Returns a fully-qualified context string.

create_intent

create_intent(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.CreateIntentRequest, dict]] = None, *, parent: Optional[str] = None, intent: Optional[google.cloud.dialogflow_v2.types.intent.Intent] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates an intent 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>__.

from google.cloud import dialogflow_v2

def sample_create_intent():
    # Create a client
    client = dialogflow_v2.IntentsClient()

    # Initialize request argument(s)
    intent = dialogflow_v2.Intent()
    intent.display_name = "display_name_value"

    request = dialogflow_v2.CreateIntentRequest(
        parent="parent_value",
        intent=intent,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.CreateIntentRequest, dict]

The request object. The request message for Intents.CreateIntent.

parent str

Required. The agent to create a intent 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.

intent google.cloud.dialogflow_v2.types.Intent

Required. The intent to create. This corresponds to the intent 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 <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. 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
TypeDescription
google.cloud.dialogflow_v2.types.IntentAn intent categorizes an end-user's intention for one conversation turn. For each agent, you define many intents, where your combined intents can handle a complete conversation. When an end-user writes or says something, referred to as an end-user expression or end-user input, Dialogflow matches the end-user input to the best intent in your agent. Matching an intent is also known as intent classification. For more information, see the [intent guide](\ https://cloud.google.com/dialogflow/docs/intents-overview).

delete_intent

delete_intent(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.DeleteIntentRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes the specified intent and its direct or indirect followup intents.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2

def sample_delete_intent():
    # Create a client
    client = dialogflow_v2.IntentsClient()

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

    # Make the request
    client.delete_intent(request=request)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.DeleteIntentRequest, dict]

The request object. The request message for Intents.DeleteIntent.

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/<Project ID>/agent/intents/<Intent 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.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
IntentsClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
IntentsClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
IntentsClientThe constructed client.

get_intent

get_intent(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.GetIntentRequest, dict]] = None, *, name: Optional[str] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified intent.

from google.cloud import dialogflow_v2

def sample_get_intent():
    # Create a client
    client = dialogflow_v2.IntentsClient()

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

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.GetIntentRequest, dict]

The request object. The request message for Intents.GetIntent.

name str

Required. The name of the intent. Format: projects/<Project ID>/agent/intents/<Intent 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 <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. 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
TypeDescription
google.cloud.dialogflow_v2.types.IntentAn intent categorizes an end-user's intention for one conversation turn. For each agent, you define many intents, where your combined intents can handle a complete conversation. When an end-user writes or says something, referred to as an end-user expression or end-user input, Dialogflow matches the end-user input to the best intent in your agent. Matching an intent is also known as intent classification. For more information, see the [intent guide](\ https://cloud.google.com/dialogflow/docs/intents-overview).

get_mtls_endpoint_and_cert_source

get_mtls_endpoint_and_cert_source(
    client_options: Optional[google.api_core.client_options.ClientOptions] = None,
)

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 variabel 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.

Parameter
NameDescription
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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

intent_path

intent_path(project: str, intent: str)

Returns a fully-qualified intent string.

list_intents

list_intents(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.ListIntentsRequest, dict]] = None, *, parent: Optional[str] = None, language_code: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all intents in the specified agent.

from google.cloud import dialogflow_v2

def sample_list_intents():
    # Create a client
    client = dialogflow_v2.IntentsClient()

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

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.ListIntentsRequest, dict]

The request object. The request message for Intents.ListIntents.

parent str

Required. The agent to list all intents from. Format: projects/<Project ID>/agent or projects/<Project ID>/locations/<Location ID>/agent. Alternatively, you can specify the environment to list intents for. Format: projects/<Project ID>/agent/environments/<Environment ID> or projects/<Project ID>/locations/<Location ID>/agent/environments/<Environment ID>. Note: training phrases of the intents will not be returned for non-draft environment. 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 <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. 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
TypeDescription
google.cloud.dialogflow_v2.services.intents.pagers.ListIntentsPagerThe response message for Intents.ListIntents. 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_context_path

parse_context_path(path: str)

Parses a context path into its component segments.

parse_intent_path

parse_intent_path(path: str)

Parses a intent path into its component segments.

update_intent

update_intent(request: Optional[Union[google.cloud.dialogflow_v2.types.intent.UpdateIntentRequest, dict]] = None, *, intent: Optional[google.cloud.dialogflow_v2.types.intent.Intent] = None, language_code: Optional[str] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the specified intent.

Note: You should always train an agent prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/es/docs/training>__.

from google.cloud import dialogflow_v2

def sample_update_intent():
    # Create a client
    client = dialogflow_v2.IntentsClient()

    # Initialize request argument(s)
    intent = dialogflow_v2.Intent()
    intent.display_name = "display_name_value"

    request = dialogflow_v2.UpdateIntentRequest(
        intent=intent,
    )

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

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2.types.UpdateIntentRequest, dict]

The request object. The request message for Intents.UpdateIntent.

intent google.cloud.dialogflow_v2.types.Intent

Required. The intent to update. This corresponds to the intent 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 <https://cloud.google.com/dialogflow/docs/agents-multilingual#intent-entity>__. This corresponds to the language_code field on the request instance; if request is provided, this should not be set.

update_mask google.protobuf.field_mask_pb2.FieldMask

Optional. The mask to control which fields get updated. This corresponds to the update_mask 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
TypeDescription
google.cloud.dialogflow_v2.types.IntentAn intent categorizes an end-user's intention for one conversation turn. For each agent, you define many intents, where your combined intents can handle a complete conversation. When an end-user writes or says something, referred to as an end-user expression or end-user input, Dialogflow matches the end-user input to the best intent in your agent. Matching an intent is also known as intent classification. For more information, see the [intent guide](\ https://cloud.google.com/dialogflow/docs/intents-overview).