Class ConversationProfilesClient (2.18.0)

Service for managing ConversationProfiles.

Returns the transport used by the client instance.

Instantiates the conversation profiles client.

Releases underlying transport's resources.

Returns a fully-qualified agent string.

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Clears a suggestion feature from a conversation profile for the given participant role.

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: xref_ClearSuggestionFeatureConfigOperationMetadata
• response: xref_ConversationProfile

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_clear_suggestion_feature_config():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ClearSuggestionFeatureConfigRequest(
        conversation_profile="conversation_profile_value",
        participant_role="END_USER",
        suggestion_feature_type="CONVERSATION_SUMMARIZATION",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Returns a fully-qualified billing_account string.

Returns a fully-qualified folder string.

Returns a fully-qualified location string.

Returns a fully-qualified organization string.

Returns a fully-qualified project string.

Returns a fully-qualified conversation_model string.

Returns a fully-qualified conversation_profile string.

Creates a conversation profile in the specified project.

[ConversationProfile.CreateTime][] and [ConversationProfile.UpdateTime][] aren't populated in the response. You can retrieve them via xref_GetConversationProfile API.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_create_conversation_profile():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    conversation_profile = dialogflow_v2beta1.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2beta1.CreateConversationProfileRequest(
        parent="parent_value",
        conversation_profile=conversation_profile,
    )

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

    # Handle the response
    print(response)

Returns a fully-qualified cx_security_settings string.

Deletes the specified conversation profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_delete_conversation_profile():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.DeleteConversationProfileRequest(
        name="name_value",
    )

    # Make the request
    client.delete_conversation_profile(request=request)

Returns a fully-qualified document string.

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

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

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

Retrieves the specified conversation profile.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_get_conversation_profile():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.GetConversationProfileRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Gets information about a location.

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 variable 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.

Gets the latest state of a long-running operation.

Returns a fully-qualified knowledge_base string.

Returns the list of all conversation profiles in the specified project.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_list_conversation_profiles():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.ListConversationProfilesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)

Lists information about the supported locations for this service.

Lists operations that match the specified filter in the request.

Parses a agent path into its component segments.

Parse a billing_account path into its component segments.

Parse a folder path into its component segments.

Parse a location path into its component segments.

Parse a organization path into its component segments.

Parse a project path into its component segments.

Parses a conversation_model path into its component segments.

Parses a conversation_profile path into its component segments.

Parses a cx_security_settings path into its component segments.

Parses a document path into its component segments.

Parses a knowledge_base path into its component segments.

Adds or updates a suggestion feature in a conversation profile. If the conversation profile contains the type of suggestion feature for the participant role, it will update it. Otherwise it will insert the suggestion feature.

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: xref_SetSuggestionFeatureConfigOperationMetadata
• response: xref_ConversationProfile

If a long running operation to add or update suggestion feature config for the same conversation profile, participant role and suggestion feature type exists, please cancel the existing long running operation before sending such request, otherwise the request will be rejected.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_set_suggestion_feature_config():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.SetSuggestionFeatureConfigRequest(
        conversation_profile="conversation_profile_value",
        participant_role="END_USER",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)

Updates the specified conversation profile.

[ConversationProfile.CreateTime][] and [ConversationProfile.UpdateTime][] aren't populated in the response. You can retrieve them via xref_GetConversationProfile API.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import dialogflow_v2beta1

def sample_update_conversation_profile():
    # Create a client
    client = dialogflow_v2beta1.ConversationProfilesClient()

    # Initialize request argument(s)
    conversation_profile = dialogflow_v2beta1.ConversationProfile()
    conversation_profile.display_name = "display_name_value"

    request = dialogflow_v2beta1.UpdateConversationProfileRequest(
        conversation_profile=conversation_profile,
    )

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

    # Handle the response
    print(response)