As of January 1, 2020 this library no longer supports Python 2 on the latest released version.
Library versions released prior to that date will continue to be available. For more information please
visit Python 2 support on Google Cloud.
Source code for google.cloud.dialogflowcx_v3beta1.services.flows.client
# -*- coding: utf-8 -*-
# Copyright 2024 Google LLC
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
#
from collections import OrderedDict
import os
import re
from typing import (
Callable,
Dict,
Mapping,
MutableMapping,
MutableSequence,
Optional,
Sequence,
Tuple,
Type,
Union,
cast,
)
import warnings
from google.api_core import client_options as client_options_lib
from google.api_core import exceptions as core_exceptions
from google.api_core import gapic_v1
from google.api_core import retry as retries
from google.auth import credentials as ga_credentials # type: ignore
from google.auth.exceptions import MutualTLSChannelError # type: ignore
from google.auth.transport import mtls # type: ignore
from google.auth.transport.grpc import SslCredentials # type: ignore
from google.oauth2 import service_account # type: ignore
from google.cloud.dialogflowcx_v3beta1 import gapic_version as package_version
try:
OptionalRetry = Union[retries.Retry, gapic_v1.method._MethodDefault, None]
except AttributeError: # pragma: NO COVER
OptionalRetry = Union[retries.Retry, object, None] # type: ignore
from google.api_core import operation # type: ignore
from google.api_core import operation_async # type: ignore
from google.cloud.location import locations_pb2 # type: ignore
from google.longrunning import operations_pb2 # type: ignore
from google.protobuf import empty_pb2 # type: ignore
from google.protobuf import field_mask_pb2 # type: ignore
from google.protobuf import struct_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.cloud.dialogflowcx_v3beta1.services.flows import pagers
from google.cloud.dialogflowcx_v3beta1.types import advanced_settings
from google.cloud.dialogflowcx_v3beta1.types import flow
from google.cloud.dialogflowcx_v3beta1.types import flow as gcdc_flow
from google.cloud.dialogflowcx_v3beta1.types import page, validation_message
from .transports.base import DEFAULT_CLIENT_INFO, FlowsTransport
from .transports.grpc import FlowsGrpcTransport
from .transports.grpc_asyncio import FlowsGrpcAsyncIOTransport
from .transports.rest import FlowsRestTransport
class FlowsClientMeta(type):
"""Metaclass for the Flows client.
This provides class-level methods for building and retrieving
support objects (e.g. transport) without polluting the client instance
objects.
"""
_transport_registry = OrderedDict() # type: Dict[str, Type[FlowsTransport]]
_transport_registry["grpc"] = FlowsGrpcTransport
_transport_registry["grpc_asyncio"] = FlowsGrpcAsyncIOTransport
_transport_registry["rest"] = FlowsRestTransport
def get_transport_class(
cls,
label: Optional[str] = None,
) -> Type[FlowsTransport]:
"""Returns an appropriate transport class.
Args:
label: The name of the desired transport. If none is
provided, then the first transport in the registry is used.
Returns:
The transport class to use.
"""
# If a specific transport is requested, return that one.
if label:
return cls._transport_registry[label]
# No transport is requested; return the default (that is, the first one
# in the dictionary).
return next(iter(cls._transport_registry.values()))
[docs]class FlowsClient(metaclass=FlowsClientMeta):
"""Service for managing
[Flows][google.cloud.dialogflow.cx.v3beta1.Flow].
"""
@staticmethod
def _get_default_mtls_endpoint(api_endpoint):
"""Converts api endpoint to mTLS endpoint.
Convert "*.sandbox.googleapis.com" and "*.googleapis.com" to
"*.mtls.sandbox.googleapis.com" and "*.mtls.googleapis.com" respectively.
Args:
api_endpoint (Optional[str]): the api endpoint to convert.
Returns:
str: converted mTLS api endpoint.
"""
if not api_endpoint:
return api_endpoint
mtls_endpoint_re = re.compile(
r"(?P<name>[^.]+)(?P<mtls>\.mtls)?(?P<sandbox>\.sandbox)?(?P<googledomain>\.googleapis\.com)?"
)
m = mtls_endpoint_re.match(api_endpoint)
name, mtls, sandbox, googledomain = m.groups()
if mtls or not googledomain:
return api_endpoint
if sandbox:
return api_endpoint.replace(
"sandbox.googleapis.com", "mtls.sandbox.googleapis.com"
)
return api_endpoint.replace(".googleapis.com", ".mtls.googleapis.com")
# Note: DEFAULT_ENDPOINT is deprecated. Use _DEFAULT_ENDPOINT_TEMPLATE instead.
DEFAULT_ENDPOINT = "dialogflow.googleapis.com"
DEFAULT_MTLS_ENDPOINT = _get_default_mtls_endpoint.__func__( # type: ignore
DEFAULT_ENDPOINT
)
_DEFAULT_ENDPOINT_TEMPLATE = "dialogflow.{UNIVERSE_DOMAIN}"
_DEFAULT_UNIVERSE = "googleapis.com"
[docs] @classmethod
def from_service_account_info(cls, info: dict, *args, **kwargs):
"""Creates an instance of this client using the provided credentials
info.
Args:
info (dict): The service account private key info.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
FlowsClient: The constructed client.
"""
credentials = service_account.Credentials.from_service_account_info(info)
kwargs["credentials"] = credentials
return cls(*args, **kwargs)
[docs] @classmethod
def from_service_account_file(cls, filename: str, *args, **kwargs):
"""Creates an instance of this client using the provided credentials
file.
Args:
filename (str): The path to the service account private key json
file.
args: Additional arguments to pass to the constructor.
kwargs: Additional arguments to pass to the constructor.
Returns:
FlowsClient: The constructed client.
"""
credentials = service_account.Credentials.from_service_account_file(filename)
kwargs["credentials"] = credentials
return cls(*args, **kwargs)
from_service_account_json = from_service_account_file
@property
def transport(self) -> FlowsTransport:
"""Returns the transport used by the client instance.
Returns:
FlowsTransport: The transport used by the client
instance.
"""
return self._transport
[docs] @staticmethod
def flow_path(
project: str,
location: str,
agent: str,
flow: str,
) -> str:
"""Returns a fully-qualified flow string."""
return "projects/{project}/locations/{location}/agents/{agent}/flows/{flow}".format(
project=project,
location=location,
agent=agent,
flow=flow,
)
[docs] @staticmethod
def parse_flow_path(path: str) -> Dict[str, str]:
"""Parses a flow path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/flows/(?P<flow>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def flow_validation_result_path(
project: str,
location: str,
agent: str,
flow: str,
) -> str:
"""Returns a fully-qualified flow_validation_result string."""
return "projects/{project}/locations/{location}/agents/{agent}/flows/{flow}/validationResult".format(
project=project,
location=location,
agent=agent,
flow=flow,
)
[docs] @staticmethod
def parse_flow_validation_result_path(path: str) -> Dict[str, str]:
"""Parses a flow_validation_result path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/flows/(?P<flow>.+?)/validationResult$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def intent_path(
project: str,
location: str,
agent: str,
intent: str,
) -> str:
"""Returns a fully-qualified intent string."""
return "projects/{project}/locations/{location}/agents/{agent}/intents/{intent}".format(
project=project,
location=location,
agent=agent,
intent=intent,
)
[docs] @staticmethod
def parse_intent_path(path: str) -> Dict[str, str]:
"""Parses a intent path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/intents/(?P<intent>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def page_path(
project: str,
location: str,
agent: str,
flow: str,
page: str,
) -> str:
"""Returns a fully-qualified page string."""
return "projects/{project}/locations/{location}/agents/{agent}/flows/{flow}/pages/{page}".format(
project=project,
location=location,
agent=agent,
flow=flow,
page=page,
)
[docs] @staticmethod
def parse_page_path(path: str) -> Dict[str, str]:
"""Parses a page path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/flows/(?P<flow>.+?)/pages/(?P<page>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def playbook_path(
project: str,
location: str,
agent: str,
playbook: str,
) -> str:
"""Returns a fully-qualified playbook string."""
return "projects/{project}/locations/{location}/agents/{agent}/playbooks/{playbook}".format(
project=project,
location=location,
agent=agent,
playbook=playbook,
)
[docs] @staticmethod
def parse_playbook_path(path: str) -> Dict[str, str]:
"""Parses a playbook path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/playbooks/(?P<playbook>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def tool_path(
project: str,
location: str,
agent: str,
tool: str,
) -> str:
"""Returns a fully-qualified tool string."""
return "projects/{project}/locations/{location}/agents/{agent}/tools/{tool}".format(
project=project,
location=location,
agent=agent,
tool=tool,
)
[docs] @staticmethod
def parse_tool_path(path: str) -> Dict[str, str]:
"""Parses a tool path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/tools/(?P<tool>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def 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."""
return "projects/{project}/locations/{location}/agents/{agent}/flows/{flow}/transitionRouteGroups/{transition_route_group}".format(
project=project,
location=location,
agent=agent,
flow=flow,
transition_route_group=transition_route_group,
)
[docs] @staticmethod
def parse_transition_route_group_path(path: str) -> Dict[str, str]:
"""Parses a transition_route_group path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/flows/(?P<flow>.+?)/transitionRouteGroups/(?P<transition_route_group>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def webhook_path(
project: str,
location: str,
agent: str,
webhook: str,
) -> str:
"""Returns a fully-qualified webhook string."""
return "projects/{project}/locations/{location}/agents/{agent}/webhooks/{webhook}".format(
project=project,
location=location,
agent=agent,
webhook=webhook,
)
[docs] @staticmethod
def parse_webhook_path(path: str) -> Dict[str, str]:
"""Parses a webhook path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/agents/(?P<agent>.+?)/webhooks/(?P<webhook>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_billing_account_path(
billing_account: str,
) -> str:
"""Returns a fully-qualified billing_account string."""
return "billingAccounts/{billing_account}".format(
billing_account=billing_account,
)
[docs] @staticmethod
def parse_common_billing_account_path(path: str) -> Dict[str, str]:
"""Parse a billing_account path into its component segments."""
m = re.match(r"^billingAccounts/(?P<billing_account>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_folder_path(
folder: str,
) -> str:
"""Returns a fully-qualified folder string."""
return "folders/{folder}".format(
folder=folder,
)
[docs] @staticmethod
def parse_common_folder_path(path: str) -> Dict[str, str]:
"""Parse a folder path into its component segments."""
m = re.match(r"^folders/(?P<folder>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_organization_path(
organization: str,
) -> str:
"""Returns a fully-qualified organization string."""
return "organizations/{organization}".format(
organization=organization,
)
[docs] @staticmethod
def parse_common_organization_path(path: str) -> Dict[str, str]:
"""Parse a organization path into its component segments."""
m = re.match(r"^organizations/(?P<organization>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_project_path(
project: str,
) -> str:
"""Returns a fully-qualified project string."""
return "projects/{project}".format(
project=project,
)
[docs] @staticmethod
def parse_common_project_path(path: str) -> Dict[str, str]:
"""Parse a project path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def common_location_path(
project: str,
location: str,
) -> str:
"""Returns a fully-qualified location string."""
return "projects/{project}/locations/{location}".format(
project=project,
location=location,
)
[docs] @staticmethod
def parse_common_location_path(path: str) -> Dict[str, str]:
"""Parse a location path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)$", path)
return m.groupdict() if m else {}
[docs] @classmethod
def get_mtls_endpoint_and_cert_source(
cls, client_options: Optional[client_options_lib.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.
Args:
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.
Returns:
Tuple[str, Callable[[], Tuple[bytes, bytes]]]: returns the API endpoint and the
client cert source to use.
Raises:
google.auth.exceptions.MutualTLSChannelError: If any errors happen.
"""
warnings.warn(
"get_mtls_endpoint_and_cert_source is deprecated. Use the api_endpoint property instead.",
DeprecationWarning,
)
if client_options is None:
client_options = client_options_lib.ClientOptions()
use_client_cert = os.getenv("GOOGLE_API_USE_CLIENT_CERTIFICATE", "false")
use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto")
if use_client_cert not in ("true", "false"):
raise ValueError(
"Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
)
if use_mtls_endpoint not in ("auto", "never", "always"):
raise MutualTLSChannelError(
"Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
)
# Figure out the client cert source to use.
client_cert_source = None
if use_client_cert == "true":
if client_options.client_cert_source:
client_cert_source = client_options.client_cert_source
elif mtls.has_default_client_cert_source():
client_cert_source = mtls.default_client_cert_source()
# Figure out which api endpoint to use.
if client_options.api_endpoint is not None:
api_endpoint = client_options.api_endpoint
elif use_mtls_endpoint == "always" or (
use_mtls_endpoint == "auto" and client_cert_source
):
api_endpoint = cls.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = cls.DEFAULT_ENDPOINT
return api_endpoint, client_cert_source
@staticmethod
def _read_environment_variables():
"""Returns the environment variables used by the client.
Returns:
Tuple[bool, str, str]: returns the GOOGLE_API_USE_CLIENT_CERTIFICATE,
GOOGLE_API_USE_MTLS_ENDPOINT, and GOOGLE_CLOUD_UNIVERSE_DOMAIN environment variables.
Raises:
ValueError: If GOOGLE_API_USE_CLIENT_CERTIFICATE is not
any of ["true", "false"].
google.auth.exceptions.MutualTLSChannelError: If GOOGLE_API_USE_MTLS_ENDPOINT
is not any of ["auto", "never", "always"].
"""
use_client_cert = os.getenv(
"GOOGLE_API_USE_CLIENT_CERTIFICATE", "false"
).lower()
use_mtls_endpoint = os.getenv("GOOGLE_API_USE_MTLS_ENDPOINT", "auto").lower()
universe_domain_env = os.getenv("GOOGLE_CLOUD_UNIVERSE_DOMAIN")
if use_client_cert not in ("true", "false"):
raise ValueError(
"Environment variable `GOOGLE_API_USE_CLIENT_CERTIFICATE` must be either `true` or `false`"
)
if use_mtls_endpoint not in ("auto", "never", "always"):
raise MutualTLSChannelError(
"Environment variable `GOOGLE_API_USE_MTLS_ENDPOINT` must be `never`, `auto` or `always`"
)
return use_client_cert == "true", use_mtls_endpoint, universe_domain_env
@staticmethod
def _get_client_cert_source(provided_cert_source, use_cert_flag):
"""Return the client cert source to be used by the client.
Args:
provided_cert_source (bytes): The client certificate source provided.
use_cert_flag (bool): A flag indicating whether to use the client certificate.
Returns:
bytes or None: The client cert source to be used by the client.
"""
client_cert_source = None
if use_cert_flag:
if provided_cert_source:
client_cert_source = provided_cert_source
elif mtls.has_default_client_cert_source():
client_cert_source = mtls.default_client_cert_source()
return client_cert_source
@staticmethod
def _get_api_endpoint(
api_override, client_cert_source, universe_domain, use_mtls_endpoint
):
"""Return the API endpoint used by the client.
Args:
api_override (str): The API endpoint override. If specified, this is always
the return value of this function and the other arguments are not used.
client_cert_source (bytes): The client certificate source used by the client.
universe_domain (str): The universe domain used by the client.
use_mtls_endpoint (str): How to use the mTLS endpoint, which depends also on the other parameters.
Possible values are "always", "auto", or "never".
Returns:
str: The API endpoint to be used by the client.
"""
if api_override is not None:
api_endpoint = api_override
elif use_mtls_endpoint == "always" or (
use_mtls_endpoint == "auto" and client_cert_source
):
_default_universe = FlowsClient._DEFAULT_UNIVERSE
if universe_domain != _default_universe:
raise MutualTLSChannelError(
f"mTLS is not supported in any universe other than {_default_universe}."
)
api_endpoint = FlowsClient.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = FlowsClient._DEFAULT_ENDPOINT_TEMPLATE.format(
UNIVERSE_DOMAIN=universe_domain
)
return api_endpoint
@staticmethod
def _get_universe_domain(
client_universe_domain: Optional[str], universe_domain_env: Optional[str]
) -> str:
"""Return the universe domain used by the client.
Args:
client_universe_domain (Optional[str]): The universe domain configured via the client options.
universe_domain_env (Optional[str]): The universe domain configured via the "GOOGLE_CLOUD_UNIVERSE_DOMAIN" environment variable.
Returns:
str: The universe domain to be used by the client.
Raises:
ValueError: If the universe domain is an empty string.
"""
universe_domain = FlowsClient._DEFAULT_UNIVERSE
if client_universe_domain is not None:
universe_domain = client_universe_domain
elif universe_domain_env is not None:
universe_domain = universe_domain_env
if len(universe_domain.strip()) == 0:
raise ValueError("Universe Domain cannot be an empty string.")
return universe_domain
def _validate_universe_domain(self):
"""Validates client's and credentials' universe domains are consistent.
Returns:
bool: True iff the configured universe domain is valid.
Raises:
ValueError: If the configured universe domain is not valid.
"""
# NOTE (b/349488459): universe validation is disabled until further notice.
return True
@property
def api_endpoint(self):
"""Return the API endpoint used by the client instance.
Returns:
str: The API endpoint used by the client instance.
"""
return self._api_endpoint
@property
def universe_domain(self) -> str:
"""Return the universe domain used by the client instance.
Returns:
str: The universe domain used by the client instance.
"""
return self._universe_domain
def __init__(
self,
*,
credentials: Optional[ga_credentials.Credentials] = None,
transport: Optional[
Union[str, FlowsTransport, Callable[..., FlowsTransport]]
] = None,
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the flows client.
Args:
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.
Raises:
google.auth.exceptions.MutualTLSChannelError: If mutual TLS transport
creation failed for any reason.
"""
self._client_options = client_options
if isinstance(self._client_options, dict):
self._client_options = client_options_lib.from_dict(self._client_options)
if self._client_options is None:
self._client_options = client_options_lib.ClientOptions()
self._client_options = cast(
client_options_lib.ClientOptions, self._client_options
)
universe_domain_opt = getattr(self._client_options, "universe_domain", None)
(
self._use_client_cert,
self._use_mtls_endpoint,
self._universe_domain_env,
) = FlowsClient._read_environment_variables()
self._client_cert_source = FlowsClient._get_client_cert_source(
self._client_options.client_cert_source, self._use_client_cert
)
self._universe_domain = FlowsClient._get_universe_domain(
universe_domain_opt, self._universe_domain_env
)
self._api_endpoint = None # updated below, depending on `transport`
# Initialize the universe domain validation.
self._is_universe_domain_valid = False
api_key_value = getattr(self._client_options, "api_key", None)
if api_key_value and credentials:
raise ValueError(
"client_options.api_key and credentials are mutually exclusive"
)
# Save or instantiate the transport.
# Ordinarily, we provide the transport, but allowing a custom transport
# instance provides an extensibility point for unusual situations.
transport_provided = isinstance(transport, FlowsTransport)
if transport_provided:
# transport is a FlowsTransport instance.
if credentials or self._client_options.credentials_file or api_key_value:
raise ValueError(
"When providing a transport instance, "
"provide its credentials directly."
)
if self._client_options.scopes:
raise ValueError(
"When providing a transport instance, provide its scopes "
"directly."
)
self._transport = cast(FlowsTransport, transport)
self._api_endpoint = self._transport.host
self._api_endpoint = self._api_endpoint or FlowsClient._get_api_endpoint(
self._client_options.api_endpoint,
self._client_cert_source,
self._universe_domain,
self._use_mtls_endpoint,
)
if not transport_provided:
import google.auth._default # type: ignore
if api_key_value and hasattr(
google.auth._default, "get_api_key_credentials"
):
credentials = google.auth._default.get_api_key_credentials(
api_key_value
)
transport_init: Union[
Type[FlowsTransport], Callable[..., FlowsTransport]
] = (
FlowsClient.get_transport_class(transport)
if isinstance(transport, str) or transport is None
else cast(Callable[..., FlowsTransport], transport)
)
# initialize with the provided callable or the passed in class
self._transport = transport_init(
credentials=credentials,
credentials_file=self._client_options.credentials_file,
host=self._api_endpoint,
scopes=self._client_options.scopes,
client_cert_source_for_mtls=self._client_cert_source,
quota_project_id=self._client_options.quota_project_id,
client_info=client_info,
always_use_jwt_access=True,
api_audience=self._client_options.api_audience,
)
[docs] def create_flow(
self,
request: Optional[Union[gcdc_flow.CreateFlowRequest, dict]] = None,
*,
parent: Optional[str] = None,
flow: Optional[gcdc_flow.Flow] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcdc_flow.Flow:
r"""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>`__.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.CreateFlowRequest, dict]):
The request object. The request message for
[Flows.CreateFlow][google.cloud.dialogflow.cx.v3beta1.Flows.CreateFlow].
parent (str):
Required. The agent to create a flow for. Format:
``projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>``.
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:
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.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent, flow])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, gcdc_flow.CreateFlowRequest):
request = gcdc_flow.CreateFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if flow is not None:
request.flow = flow
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.create_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def delete_flow(
self,
request: Optional[Union[flow.DeleteFlowRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> None:
r"""Deletes a specified flow.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.DeleteFlowRequest, dict]):
The request object. The request message for
[Flows.DeleteFlow][google.cloud.dialogflow.cx.v3beta1.Flows.DeleteFlow].
name (str):
Required. The name of the flow to delete. Format:
``projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/flows/<FlowID>``.
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.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.DeleteFlowRequest):
request = flow.DeleteFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.delete_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
[docs] def list_flows(
self,
request: Optional[Union[flow.ListFlowsRequest, dict]] = None,
*,
parent: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> pagers.ListFlowsPager:
r"""Returns the list of all flows in the specified agent.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.ListFlowsRequest, dict]):
The request object. The request message for
[Flows.ListFlows][google.cloud.dialogflow.cx.v3beta1.Flows.ListFlows].
parent (str):
Required. The agent containing the flows. Format:
``projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>``.
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:
google.cloud.dialogflowcx_v3beta1.services.flows.pagers.ListFlowsPager:
The response message for
[Flows.ListFlows][google.cloud.dialogflow.cx.v3beta1.Flows.ListFlows].
Iterating over this object will yield results and
resolve additional pages automatically.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([parent])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.ListFlowsRequest):
request = flow.ListFlowsRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_flows]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# This method is paged; wrap the response in a pager, which provides
# an `__iter__` convenience method.
response = pagers.ListFlowsPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_flow(
self,
request: Optional[Union[flow.GetFlowRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> flow.Flow:
r"""Retrieves the specified flow.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.GetFlowRequest, dict]):
The request object. The response message for
[Flows.GetFlow][google.cloud.dialogflow.cx.v3beta1.Flows.GetFlow].
name (str):
Required. The name of the flow to get. Format:
``projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/flows/<FlowID>``.
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:
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.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.GetFlowRequest):
request = flow.GetFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def update_flow(
self,
request: Optional[Union[gcdc_flow.UpdateFlowRequest, dict]] = None,
*,
flow: Optional[gcdc_flow.Flow] = None,
update_mask: Optional[field_mask_pb2.FieldMask] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcdc_flow.Flow:
r"""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>`__.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.UpdateFlowRequest, dict]):
The request object. The request message for
[Flows.UpdateFlow][google.cloud.dialogflow.cx.v3beta1.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:
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.
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([flow, update_mask])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, gcdc_flow.UpdateFlowRequest):
request = gcdc_flow.UpdateFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if flow is not None:
request.flow = flow
if update_mask is not None:
request.update_mask = update_mask
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.update_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("flow.name", request.flow.name),)
),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def train_flow(
self,
request: Optional[Union[flow.TrainFlowRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""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>`__.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.TrainFlowRequest, dict]):
The request object. The request message for
[Flows.TrainFlow][google.cloud.dialogflow.cx.v3beta1.Flows.TrainFlow].
name (str):
Required. The flow to train. Format:
``projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/flows/<FlowID>``.
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:
google.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be :class:`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);
}
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.TrainFlowRequest):
request = flow.TrainFlowRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.train_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
empty_pb2.Empty,
metadata_type=struct_pb2.Struct,
)
# Done; return the response.
return response
[docs] def validate_flow(
self,
request: Optional[Union[flow.ValidateFlowRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> flow.FlowValidationResult:
r"""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.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.ValidateFlowRequest, dict]):
The request object. The request message for
[Flows.ValidateFlow][google.cloud.dialogflow.cx.v3beta1.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:
google.cloud.dialogflowcx_v3beta1.types.FlowValidationResult:
The response message for
[Flows.GetFlowValidationResult][google.cloud.dialogflow.cx.v3beta1.Flows.GetFlowValidationResult].
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.ValidateFlowRequest):
request = flow.ValidateFlowRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.validate_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_flow_validation_result(
self,
request: Optional[Union[flow.GetFlowValidationResultRequest, dict]] = None,
*,
name: Optional[str] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> flow.FlowValidationResult:
r"""Gets the latest flow validation result. Flow
validation is performed when ValidateFlow is called.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.GetFlowValidationResultRequest, dict]):
The request object. The request message for
[Flows.GetFlowValidationResult][google.cloud.dialogflow.cx.v3beta1.Flows.GetFlowValidationResult].
name (str):
Required. The flow name. Format:
``projects/<ProjectID>/locations/<LocationID>/agents/<AgentID>/flows/<FlowID>/validationResult``.
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:
google.cloud.dialogflowcx_v3beta1.types.FlowValidationResult:
The response message for
[Flows.GetFlowValidationResult][google.cloud.dialogflow.cx.v3beta1.Flows.GetFlowValidationResult].
"""
# Create or coerce a protobuf request object.
# - Quick check: If we got a request object, we should *not* have
# gotten any keyword arguments that map to the request.
has_flattened_params = any([name])
if request is not None and has_flattened_params:
raise ValueError(
"If the `request` argument is set, then none of "
"the individual field arguments should be set."
)
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.GetFlowValidationResultRequest):
request = flow.GetFlowValidationResultRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if name is not None:
request.name = name
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.get_flow_validation_result
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def import_flow(
self,
request: Optional[Union[flow.ImportFlowRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""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``:
[ImportFlowResponse][google.cloud.dialogflow.cx.v3beta1.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>`__.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.ImportFlowRequest, dict]):
The request object. The request message for
[Flows.ImportFlow][google.cloud.dialogflow.cx.v3beta1.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:
google.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.cloud.dialogflowcx_v3beta1.types.ImportFlowResponse` The response message for
[Flows.ImportFlow][google.cloud.dialogflow.cx.v3beta1.Flows.ImportFlow].
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.ImportFlowRequest):
request = flow.ImportFlowRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.import_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("parent", request.parent),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
flow.ImportFlowResponse,
metadata_type=struct_pb2.Struct,
)
# Done; return the response.
return response
[docs] def export_flow(
self,
request: Optional[Union[flow.ExportFlowRequest, dict]] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""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``:
[ExportFlowResponse][google.cloud.dialogflow.cx.v3beta1.ExportFlowResponse]
Note that resources (e.g. intents, entities, webhooks) that the
flow references will also be exported.
.. code-block:: python
# 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)
Args:
request (Union[google.cloud.dialogflowcx_v3beta1.types.ExportFlowRequest, dict]):
The request object. The request message for
[Flows.ExportFlow][google.cloud.dialogflow.cx.v3beta1.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:
google.api_core.operation.Operation:
An object representing a long-running operation.
The result type for the operation will be :class:`google.cloud.dialogflowcx_v3beta1.types.ExportFlowResponse` The response message for
[Flows.ExportFlow][google.cloud.dialogflow.cx.v3beta1.Flows.ExportFlow].
"""
# Create or coerce a protobuf request object.
# - Use the request object if provided (there's no risk of modifying the input as
# there are no flattened fields), or create one.
if not isinstance(request, flow.ExportFlowRequest):
request = flow.ExportFlowRequest(request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.export_flow]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Wrap the response in an operation future.
response = operation.from_gapic(
response,
self._transport.operations_client,
flow.ExportFlowResponse,
metadata_type=struct_pb2.Struct,
)
# Done; return the response.
return response
def __enter__(self) -> "FlowsClient":
return self
[docs] def __exit__(self, 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!
"""
self.transport.close()
[docs] def list_operations(
self,
request: Optional[operations_pb2.ListOperationsRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operations_pb2.ListOperationsResponse:
r"""Lists operations that match the specified filter in the request.
Args:
request (:class:`~.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:
~.operations_pb2.ListOperationsResponse:
Response message for ``ListOperations`` method.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = operations_pb2.ListOperationsRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_operations]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_operation(
self,
request: Optional[operations_pb2.GetOperationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operations_pb2.Operation:
r"""Gets the latest state of a long-running operation.
Args:
request (:class:`~.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:
~.operations_pb2.Operation:
An ``Operation`` object.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = operations_pb2.GetOperationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_operation]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def cancel_operation(
self,
request: Optional[operations_pb2.CancelOperationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> None:
r"""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`.
Args:
request (:class:`~.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.
Returns:
None
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = operations_pb2.CancelOperationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.cancel_operation]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
[docs] def get_location(
self,
request: Optional[locations_pb2.GetLocationRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> locations_pb2.Location:
r"""Gets information about a location.
Args:
request (:class:`~.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:
~.location_pb2.Location:
Location object.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = locations_pb2.GetLocationRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.get_location]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def list_locations(
self,
request: Optional[locations_pb2.ListLocationsRequest] = None,
*,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> locations_pb2.ListLocationsResponse:
r"""Lists information about the supported locations for this service.
Args:
request (:class:`~.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:
~.location_pb2.ListLocationsResponse:
Response message for ``ListLocations`` method.
"""
# Create or coerce a protobuf request object.
# The request isn't a proto-plus wrapped type,
# so it must be constructed via keyword expansion.
if isinstance(request, dict):
request = locations_pb2.ListLocationsRequest(**request)
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[self._transport.list_locations]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata((("name", request.name),)),
)
# Validate the universe domain.
self._validate_universe_domain()
# Send the request.
response = rpc(
request,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
DEFAULT_CLIENT_INFO = gapic_v1.client_info.ClientInfo(
gapic_version=package_version.__version__
)
__all__ = ("FlowsClient",)
