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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 |
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 |
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 |
The request object. Request message for |
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: |
flow |
google.cloud.dialogflowcx_v3beta1.types.Flow
Required. The flow to create. This corresponds to the |
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: |
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 emptyStruct 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: |
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: |
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 |
The request object. Request message for |
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 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 |
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 |
The request object. Request message for |
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 |
|
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 emptyStruct 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: |
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 |
The request object. Request message for |
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 |
|
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 |
The request object. Request message for |
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 |
|
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_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.
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 emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: AnEmpty 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: |
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 |
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 |
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.