Class FlowsClient (1.37.0) 

FlowsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3beta1.services.flows.transports.base.FlowsTransport, typing.Callable[[...], google.cloud.dialogflowcx_v3beta1.services.flows.transports.base.FlowsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for managing Flows.

Properties

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type Description
str The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
Type Description
FlowsTransport The transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
Type Description
str The universe domain used by the client instance.

Methods

FlowsClient

FlowsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.dialogflowcx_v3beta1.services.flows.transports.base.FlowsTransport, typing.Callable[[...], google.cloud.dialogflowcx_v3beta1.services.flows.transports.base.FlowsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the flows client.

Parameters
Name Description
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 Optional[Union[str,FlowsTransport,Callable[..., FlowsTransport]]]

The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the FlowsTransport constructor. If set to None, a transport is chosen automatically.
client_options Optional[Union[google.api_core.client_options.ClientOptions, dict]]

Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "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). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS 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. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
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
Type Description
google.auth.exceptions.MutualTLSChannelError If mutual TLS transport creation failed for any reason.

__exit__

__exit__(type, value, traceback)

Releases underlying transport's resources.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

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.

Parameters
Name Description
request .operations_pb2.CancelOperationRequest

The request object. Request message for CancelOperation method.
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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

create_flow

create_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.CreateFlowRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    flow: typing.Optional[google.cloud.dialogflowcx_v3beta1.types.flow.Flow] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.flow.Flow

Creates a flow in the specified agent.

Note: You should always train a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

# 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 dialogflowcx_v3beta1

def sample_create_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    flow = dialogflowcx_v3beta1.Flow()
    flow.display_name = "display_name_value"

    request = dialogflowcx_v3beta1.CreateFlowRequest(
        parent="parent_value",
        flow=flow,
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.CreateFlowRequest, dict]

The request object. The request message for Flows.CreateFlow.
parent str

Required. The agent to create a flow for. Format: projects/. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
flow google.cloud.dialogflowcx_v3beta1.types.Flow

Required. The flow to create. This corresponds to the flow 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
Type Description
google.cloud.dialogflowcx_v3beta1.types.Flow Flows represents the conversation flows when you build your chatbot agent. A flow consists of many pages connected by the transition routes. Conversations always start with the built-in Start Flow (with an all-0 ID). Transition routes can direct the conversation session from the current flow (parent flow) to another flow (sub flow). When the sub flow is finished, Dialogflow will bring the session back to the parent flow, where the sub flow is started. Usually, when a transition route is followed by a matched intent, the intent will be "consumed". This means the intent won't activate more transition routes. However, when the followed transition route moves the conversation session into a different flow, the matched intent can be carried over and to be consumed in the target flow.

delete_flow

delete_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.DeleteFlowRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> None

Deletes a specified flow.

# 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 dialogflowcx_v3beta1

def sample_delete_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.DeleteFlowRequest(
        name="name_value",
    )

    # Make the request
    client.delete_flow(request=request)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.DeleteFlowRequest, dict]

The request object. The request message for Flows.DeleteFlow.
name str

Required. The name of the flow to delete. Format: projects/. 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.

export_flow

export_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.ExportFlowRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Exports the specified flow to a binary file.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. 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_ExportFlowResponse

Note that resources (e.g. intents, entities, webhooks) that the flow references will also be exported.

# 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 dialogflowcx_v3beta1

def sample_export_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.ExportFlowRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.ExportFlowRequest, dict]

The request object. The request message for Flows.ExportFlow.
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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be ExportFlowResponse The response message for Flows.ExportFlow.

flow_path

flow_path(project: str, location: str, agent: str, flow: str) -> str

Returns a fully-qualified flow string.

flow_validation_result_path

flow_validation_result_path(
    project: str, location: str, agent: str, flow: str
) -> str

Returns a fully-qualified flow_validation_result string.

from_service_account_file

from_service_account_file(filename: str, *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
FlowsClient The 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
Name Description
info dict

The service account private key info.
Returns
Type Description
FlowsClient The 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
Name Description
filename str

The path to the service account private key json file.
Returns
Type Description
FlowsClient The constructed client.

get_flow

get_flow(
    request: typing.Optional[
        typing.Union[google.cloud.dialogflowcx_v3beta1.types.flow.GetFlowRequest, dict]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.flow.Flow

Retrieves the specified flow.

# 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 dialogflowcx_v3beta1

def sample_get_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.GetFlowRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.GetFlowRequest, dict]

The request object. The response message for Flows.GetFlow.
name str

Required. The name of the flow to get. Format: projects/. 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.
Returns
Type Description
google.cloud.dialogflowcx_v3beta1.types.Flow Flows represents the conversation flows when you build your chatbot agent. A flow consists of many pages connected by the transition routes. Conversations always start with the built-in Start Flow (with an all-0 ID). Transition routes can direct the conversation session from the current flow (parent flow) to another flow (sub flow). When the sub flow is finished, Dialogflow will bring the session back to the parent flow, where the sub flow is started. Usually, when a transition route is followed by a matched intent, the intent will be "consumed". This means the intent won't activate more transition routes. However, when the followed transition route moves the conversation session into a different flow, the matched intent can be carried over and to be consumed in the target flow.

get_flow_validation_result

get_flow_validation_result(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.GetFlowValidationResultRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.flow.FlowValidationResult

Gets the latest flow validation result. Flow validation is performed when ValidateFlow is called.

# 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 dialogflowcx_v3beta1

def sample_get_flow_validation_result():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.GetFlowValidationResultRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.GetFlowValidationResultRequest, dict]

The request object. The request message for Flows.GetFlowValidationResult.
name str

Required. The flow name. Format: projects/. 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.
Returns
Type Description
google.cloud.dialogflowcx_v3beta1.types.FlowValidationResult The response message for Flows.GetFlowValidationResult.

get_location

get_location(
    request: typing.Optional[
        google.cloud.location.locations_pb2.GetLocationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.Location

Gets information about a location.

Parameters
Name Description
request .location_pb2.GetLocationRequest

The request object. Request message for GetLocation method.
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
Type Description
.location_pb2.Location Location object.

get_mtls_endpoint_and_cert_source

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

Deprecated. 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.

Parameter
Name Description
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
Type Description
google.auth.exceptions.MutualTLSChannelError If any errors happen.
Returns
Type Description
Tuple[str, Callable[[], Tuple[bytes, bytes]]] returns the API endpoint and the client cert source to use.

get_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name Description
request .operations_pb2.GetOperationRequest

The request object. Request message for GetOperation method.
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
Type Description
.operations_pb2.Operation An Operation object.

import_flow

import_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.ImportFlowRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Imports the specified flow to the specified agent from a binary file.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. 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_ImportFlowResponse

Note: You should always train a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

# 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 dialogflowcx_v3beta1

def sample_import_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.ImportFlowRequest(
        flow_uri="flow_uri_value",
        parent="parent_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.ImportFlowRequest, dict]

The request object. The request message for Flows.ImportFlow.
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
Type Description
google.api_core.operation.Operation An object representing a long-running operation. The result type for the operation will be ImportFlowResponse The response message for Flows.ImportFlow.

intent_path

intent_path(project: str, location: str, agent: str, intent: str) -> str

Returns a fully-qualified intent string.

list_flows

list_flows(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.ListFlowsRequest, dict
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.services.flows.pagers.ListFlowsPager

Returns the list of all flows in the specified agent.

# 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 dialogflowcx_v3beta1

def sample_list_flows():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.ListFlowsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.ListFlowsRequest, dict]

The request object. The request message for Flows.ListFlows.
parent str

Required. The agent containing the flows. Format: projects/. This corresponds to the parent 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
Type Description
google.cloud.dialogflowcx_v3beta1.services.flows.pagers.ListFlowsPager The response message for Flows.ListFlows. Iterating over this object will yield results and resolve additional pages automatically.

list_locations

list_locations(
    request: typing.Optional[
        google.cloud.location.locations_pb2.ListLocationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.location.locations_pb2.ListLocationsResponse

Lists information about the supported locations for this service.

Parameters
Name Description
request .location_pb2.ListLocationsRequest

The request object. Request message for ListLocations method.
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
Type Description
.location_pb2.ListLocationsResponse Response message for ListLocations method.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name Description
request .operations_pb2.ListOperationsRequest

The request object. Request message for ListOperations method.
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
Type Description
.operations_pb2.ListOperationsResponse Response message for ListOperations method.

page_path

page_path(project: str, location: str, agent: str, flow: str, page: str) -> str

Returns a fully-qualified page string.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_flow_path

parse_flow_path(path: str) -> typing.Dict[str, str]

Parses a flow path into its component segments.

parse_flow_validation_result_path

parse_flow_validation_result_path(path: str) -> typing.Dict[str, str]

Parses a flow_validation_result path into its component segments.

parse_intent_path

parse_intent_path(path: str) -> typing.Dict[str, str]

Parses a intent path into its component segments.

parse_page_path

parse_page_path(path: str) -> typing.Dict[str, str]

Parses a page path into its component segments.

parse_playbook_path

parse_playbook_path(path: str) -> typing.Dict[str, str]

Parses a playbook path into its component segments.

parse_tool_path

parse_tool_path(path: str) -> typing.Dict[str, str]

Parses a tool path into its component segments.

parse_transition_route_group_path

parse_transition_route_group_path(path: str) -> typing.Dict[str, str]

Parses a transition_route_group path into its component segments.

parse_webhook_path

parse_webhook_path(path: str) -> typing.Dict[str, str]

Parses a webhook path into its component segments.

playbook_path

playbook_path(project: str, location: str, agent: str, playbook: str) -> str

Returns a fully-qualified playbook string.

tool_path

tool_path(project: str, location: str, agent: str, tool: str) -> str

Returns a fully-qualified tool string.

train_flow

train_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.TrainFlowRequest, dict
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.api_core.operation.Operation

Trains the specified flow. Note that only the flow in 'draft' environment is trained.

This method is a long-running operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>__. 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 a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

# 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 dialogflowcx_v3beta1

def sample_train_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.TrainFlowRequest(
        name="name_value",
    )

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

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

    response = operation.result()

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.TrainFlowRequest, dict]

The request object. The request message for Flows.TrainFlow.
name str

Required. The flow to train. Format: projects/. 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.
Returns
Type Description
google.api_core.operation.Operation An 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); }

transition_route_group_path

transition_route_group_path(
    project: str, location: str, agent: str, flow: str, transition_route_group: str
) -> str

Returns a fully-qualified transition_route_group string.

update_flow

update_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.UpdateFlowRequest, dict
        ]
    ] = None,
    *,
    flow: typing.Optional[google.cloud.dialogflowcx_v3beta1.types.flow.Flow] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.flow.Flow

Updates the specified flow.

Note: You should always train a flow prior to sending it queries. See the training documentation <https://cloud.google.com/dialogflow/cx/docs/concept/training>__.

# 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 dialogflowcx_v3beta1

def sample_update_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    flow = dialogflowcx_v3beta1.Flow()
    flow.display_name = "display_name_value"

    request = dialogflowcx_v3beta1.UpdateFlowRequest(
        flow=flow,
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.UpdateFlowRequest, dict]

The request object. The request message for Flows.UpdateFlow.
flow google.cloud.dialogflowcx_v3beta1.types.Flow

Required. The flow to update. This corresponds to the flow field on the request instance; if request is provided, this should not be set.
update_mask google.protobuf.field_mask_pb2.FieldMask

The mask to control which fields get updated. If the mask is not present, all fields will be 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
Type Description
google.cloud.dialogflowcx_v3beta1.types.Flow Flows represents the conversation flows when you build your chatbot agent. A flow consists of many pages connected by the transition routes. Conversations always start with the built-in Start Flow (with an all-0 ID). Transition routes can direct the conversation session from the current flow (parent flow) to another flow (sub flow). When the sub flow is finished, Dialogflow will bring the session back to the parent flow, where the sub flow is started. Usually, when a transition route is followed by a matched intent, the intent will be "consumed". This means the intent won't activate more transition routes. However, when the followed transition route moves the conversation session into a different flow, the matched intent can be carried over and to be consumed in the target flow.

validate_flow

validate_flow(
    request: typing.Optional[
        typing.Union[
            google.cloud.dialogflowcx_v3beta1.types.flow.ValidateFlowRequest, dict
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, str]] = ()
) -> google.cloud.dialogflowcx_v3beta1.types.flow.FlowValidationResult

Validates the specified flow and creates or updates validation results. Please call this API after the training is completed to get the complete validation results.

# 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 dialogflowcx_v3beta1

def sample_validate_flow():
    # Create a client
    client = dialogflowcx_v3beta1.FlowsClient()

    # Initialize request argument(s)
    request = dialogflowcx_v3beta1.ValidateFlowRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)
Parameters
Name Description
request Union[google.cloud.dialogflowcx_v3beta1.types.ValidateFlowRequest, dict]

The request object. The request message for Flows.ValidateFlow.
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
Type Description
google.cloud.dialogflowcx_v3beta1.types.FlowValidationResult The response message for Flows.GetFlowValidationResult.

webhook_path

webhook_path(project: str, location: str, agent: str, webhook: str) -> str

Returns a fully-qualified webhook string.