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.dialogflow_v2.services.conversation_profiles.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.dialogflow_v2 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 field_mask_pb2 # type: ignore
from google.protobuf import timestamp_pb2 # type: ignore
from google.cloud.dialogflow_v2.services.conversation_profiles import pagers
from google.cloud.dialogflow_v2.types import (
conversation_profile as gcd_conversation_profile,
)
from google.cloud.dialogflow_v2.types import audio_config
from google.cloud.dialogflow_v2.types import conversation_profile
from google.cloud.dialogflow_v2.types import participant
from .transports.base import DEFAULT_CLIENT_INFO, ConversationProfilesTransport
from .transports.grpc import ConversationProfilesGrpcTransport
from .transports.grpc_asyncio import ConversationProfilesGrpcAsyncIOTransport
from .transports.rest import ConversationProfilesRestTransport
class ConversationProfilesClientMeta(type):
"""Metaclass for the ConversationProfiles 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[ConversationProfilesTransport]]
_transport_registry["grpc"] = ConversationProfilesGrpcTransport
_transport_registry["grpc_asyncio"] = ConversationProfilesGrpcAsyncIOTransport
_transport_registry["rest"] = ConversationProfilesRestTransport
def get_transport_class(
cls,
label: Optional[str] = None,
) -> Type[ConversationProfilesTransport]:
"""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 ConversationProfilesClient(metaclass=ConversationProfilesClientMeta):
"""Service for managing
[ConversationProfiles][google.cloud.dialogflow.v2.ConversationProfile].
"""
@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:
ConversationProfilesClient: 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:
ConversationProfilesClient: 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) -> ConversationProfilesTransport:
"""Returns the transport used by the client instance.
Returns:
ConversationProfilesTransport: The transport used by the client
instance.
"""
return self._transport
[docs] @staticmethod
def agent_path(
project: str,
) -> str:
"""Returns a fully-qualified agent string."""
return "projects/{project}/agent".format(
project=project,
)
[docs] @staticmethod
def parse_agent_path(path: str) -> Dict[str, str]:
"""Parses a agent path into its component segments."""
m = re.match(r"^projects/(?P<project>.+?)/agent$", path)
return m.groupdict() if m else {}
[docs] @staticmethod
def conversation_model_path(
project: str,
location: str,
conversation_model: str,
) -> str:
"""Returns a fully-qualified conversation_model string."""
return "projects/{project}/locations/{location}/conversationModels/{conversation_model}".format(
project=project,
location=location,
conversation_model=conversation_model,
)
[docs] @staticmethod
def parse_conversation_model_path(path: str) -> Dict[str, str]:
"""Parses a conversation_model path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/conversationModels/(?P<conversation_model>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def conversation_profile_path(
project: str,
conversation_profile: str,
) -> str:
"""Returns a fully-qualified conversation_profile string."""
return "projects/{project}/conversationProfiles/{conversation_profile}".format(
project=project,
conversation_profile=conversation_profile,
)
[docs] @staticmethod
def parse_conversation_profile_path(path: str) -> Dict[str, str]:
"""Parses a conversation_profile path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/conversationProfiles/(?P<conversation_profile>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def cx_security_settings_path(
project: str,
location: str,
security_settings: str,
) -> str:
"""Returns a fully-qualified cx_security_settings string."""
return "projects/{project}/locations/{location}/securitySettings/{security_settings}".format(
project=project,
location=location,
security_settings=security_settings,
)
[docs] @staticmethod
def parse_cx_security_settings_path(path: str) -> Dict[str, str]:
"""Parses a cx_security_settings path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/securitySettings/(?P<security_settings>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def document_path(
project: str,
knowledge_base: str,
document: str,
) -> str:
"""Returns a fully-qualified document string."""
return "projects/{project}/knowledgeBases/{knowledge_base}/documents/{document}".format(
project=project,
knowledge_base=knowledge_base,
document=document,
)
[docs] @staticmethod
def parse_document_path(path: str) -> Dict[str, str]:
"""Parses a document path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/knowledgeBases/(?P<knowledge_base>.+?)/documents/(?P<document>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def generator_path(
project: str,
location: str,
generator: str,
) -> str:
"""Returns a fully-qualified generator string."""
return "projects/{project}/locations/{location}/generators/{generator}".format(
project=project,
location=location,
generator=generator,
)
[docs] @staticmethod
def parse_generator_path(path: str) -> Dict[str, str]:
"""Parses a generator path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/generators/(?P<generator>.+?)$",
path,
)
return m.groupdict() if m else {}
[docs] @staticmethod
def knowledge_base_path(
project: str,
knowledge_base: str,
) -> str:
"""Returns a fully-qualified knowledge_base string."""
return "projects/{project}/knowledgeBases/{knowledge_base}".format(
project=project,
knowledge_base=knowledge_base,
)
[docs] @staticmethod
def parse_knowledge_base_path(path: str) -> Dict[str, str]:
"""Parses a knowledge_base path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/knowledgeBases/(?P<knowledge_base>.+?)$", path
)
return m.groupdict() if m else {}
[docs] @staticmethod
def phrase_set_path(
project: str,
location: str,
phrase_set: str,
) -> str:
"""Returns a fully-qualified phrase_set string."""
return "projects/{project}/locations/{location}/phraseSets/{phrase_set}".format(
project=project,
location=location,
phrase_set=phrase_set,
)
[docs] @staticmethod
def parse_phrase_set_path(path: str) -> Dict[str, str]:
"""Parses a phrase_set path into its component segments."""
m = re.match(
r"^projects/(?P<project>.+?)/locations/(?P<location>.+?)/phraseSets/(?P<phrase_set>.+?)$",
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 = ConversationProfilesClient._DEFAULT_UNIVERSE
if universe_domain != _default_universe:
raise MutualTLSChannelError(
f"mTLS is not supported in any universe other than {_default_universe}."
)
api_endpoint = ConversationProfilesClient.DEFAULT_MTLS_ENDPOINT
else:
api_endpoint = ConversationProfilesClient._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 = ConversationProfilesClient._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,
ConversationProfilesTransport,
Callable[..., ConversationProfilesTransport],
]
] = None,
client_options: Optional[Union[client_options_lib.ClientOptions, dict]] = None,
client_info: gapic_v1.client_info.ClientInfo = DEFAULT_CLIENT_INFO,
) -> None:
"""Instantiates the conversation profiles 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,ConversationProfilesTransport,Callable[..., ConversationProfilesTransport]]]):
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 ConversationProfilesTransport 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,
) = ConversationProfilesClient._read_environment_variables()
self._client_cert_source = ConversationProfilesClient._get_client_cert_source(
self._client_options.client_cert_source, self._use_client_cert
)
self._universe_domain = ConversationProfilesClient._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, ConversationProfilesTransport)
if transport_provided:
# transport is a ConversationProfilesTransport 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(ConversationProfilesTransport, transport)
self._api_endpoint = self._transport.host
self._api_endpoint = (
self._api_endpoint
or ConversationProfilesClient._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[ConversationProfilesTransport],
Callable[..., ConversationProfilesTransport],
] = (
ConversationProfilesClient.get_transport_class(transport)
if isinstance(transport, str) or transport is None
else cast(Callable[..., ConversationProfilesTransport], 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 list_conversation_profiles(
self,
request: Optional[
Union[conversation_profile.ListConversationProfilesRequest, 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.ListConversationProfilesPager:
r"""Returns the list of all conversation profiles in the
specified project.
.. 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 dialogflow_v2
def sample_list_conversation_profiles():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
request = dialogflow_v2.ListConversationProfilesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_conversation_profiles(request=request)
# Handle the response
for response in page_result:
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.ListConversationProfilesRequest, dict]):
The request object. The request message for
[ConversationProfiles.ListConversationProfiles][google.cloud.dialogflow.v2.ConversationProfiles.ListConversationProfiles].
parent (str):
Required. The project to list all conversation profiles
from. Format:
``projects/<Project ID>/locations/<Location ID>``.
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.dialogflow_v2.services.conversation_profiles.pagers.ListConversationProfilesPager:
The response message for
[ConversationProfiles.ListConversationProfiles][google.cloud.dialogflow.v2.ConversationProfiles.ListConversationProfiles].
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, conversation_profile.ListConversationProfilesRequest
):
request = conversation_profile.ListConversationProfilesRequest(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_conversation_profiles
]
# 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.ListConversationProfilesPager(
method=rpc,
request=request,
response=response,
retry=retry,
timeout=timeout,
metadata=metadata,
)
# Done; return the response.
return response
[docs] def get_conversation_profile(
self,
request: Optional[
Union[conversation_profile.GetConversationProfileRequest, 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]] = (),
) -> conversation_profile.ConversationProfile:
r"""Retrieves the specified conversation profile.
.. 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 dialogflow_v2
def sample_get_conversation_profile():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
request = dialogflow_v2.GetConversationProfileRequest(
name="name_value",
)
# Make the request
response = client.get_conversation_profile(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.GetConversationProfileRequest, dict]):
The request object. The request message for
[ConversationProfiles.GetConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.GetConversationProfile].
name (str):
Required. The resource name of the conversation profile.
Format:
``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
Returns:
google.cloud.dialogflow_v2.types.ConversationProfile:
Defines the services to connect to
incoming Dialogflow conversations.
"""
# 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, conversation_profile.GetConversationProfileRequest):
request = conversation_profile.GetConversationProfileRequest(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_conversation_profile]
# 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 create_conversation_profile(
self,
request: Optional[
Union[gcd_conversation_profile.CreateConversationProfileRequest, dict]
] = None,
*,
parent: Optional[str] = None,
conversation_profile: Optional[
gcd_conversation_profile.ConversationProfile
] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> gcd_conversation_profile.ConversationProfile:
r"""Creates a conversation profile in the specified project.
[ConversationProfile.CreateTime][] and
[ConversationProfile.UpdateTime][] aren't populated in the
response. You can retrieve them via
[GetConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.GetConversationProfile]
API.
.. 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 dialogflow_v2
def sample_create_conversation_profile():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
conversation_profile = dialogflow_v2.ConversationProfile()
conversation_profile.display_name = "display_name_value"
request = dialogflow_v2.CreateConversationProfileRequest(
parent="parent_value",
conversation_profile=conversation_profile,
)
# Make the request
response = client.create_conversation_profile(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.CreateConversationProfileRequest, dict]):
The request object. The request message for
[ConversationProfiles.CreateConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.CreateConversationProfile].
parent (str):
Required. The project to create a conversation profile
for. Format:
``projects/<Project ID>/locations/<Location ID>``.
This corresponds to the ``parent`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
conversation_profile (google.cloud.dialogflow_v2.types.ConversationProfile):
Required. The conversation profile to
create.
This corresponds to the ``conversation_profile`` 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.dialogflow_v2.types.ConversationProfile:
Defines the services to connect to
incoming Dialogflow conversations.
"""
# 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, conversation_profile])
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, gcd_conversation_profile.CreateConversationProfileRequest
):
request = gcd_conversation_profile.CreateConversationProfileRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if parent is not None:
request.parent = parent
if conversation_profile is not None:
request.conversation_profile = conversation_profile
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.create_conversation_profile
]
# 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 update_conversation_profile(
self,
request: Optional[
Union[gcd_conversation_profile.UpdateConversationProfileRequest, dict]
] = None,
*,
conversation_profile: Optional[
gcd_conversation_profile.ConversationProfile
] = 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]] = (),
) -> gcd_conversation_profile.ConversationProfile:
r"""Updates the specified conversation profile.
[ConversationProfile.CreateTime][] and
[ConversationProfile.UpdateTime][] aren't populated in the
response. You can retrieve them via
[GetConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.GetConversationProfile]
API.
.. 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 dialogflow_v2
def sample_update_conversation_profile():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
conversation_profile = dialogflow_v2.ConversationProfile()
conversation_profile.display_name = "display_name_value"
request = dialogflow_v2.UpdateConversationProfileRequest(
conversation_profile=conversation_profile,
)
# Make the request
response = client.update_conversation_profile(request=request)
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.UpdateConversationProfileRequest, dict]):
The request object. The request message for
[ConversationProfiles.UpdateConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.UpdateConversationProfile].
conversation_profile (google.cloud.dialogflow_v2.types.ConversationProfile):
Required. The conversation profile to
update.
This corresponds to the ``conversation_profile`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
update_mask (google.protobuf.field_mask_pb2.FieldMask):
Required. The mask to control which
fields to update.
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.dialogflow_v2.types.ConversationProfile:
Defines the services to connect to
incoming Dialogflow conversations.
"""
# 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([conversation_profile, 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, gcd_conversation_profile.UpdateConversationProfileRequest
):
request = gcd_conversation_profile.UpdateConversationProfileRequest(request)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if conversation_profile is not None:
request.conversation_profile = conversation_profile
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_conversation_profile
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("conversation_profile.name", request.conversation_profile.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 delete_conversation_profile(
self,
request: Optional[
Union[conversation_profile.DeleteConversationProfileRequest, 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 the specified conversation profile.
.. 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 dialogflow_v2
def sample_delete_conversation_profile():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
request = dialogflow_v2.DeleteConversationProfileRequest(
name="name_value",
)
# Make the request
client.delete_conversation_profile(request=request)
Args:
request (Union[google.cloud.dialogflow_v2.types.DeleteConversationProfileRequest, dict]):
The request object. The request message for
[ConversationProfiles.DeleteConversationProfile][google.cloud.dialogflow.v2.ConversationProfiles.DeleteConversationProfile].
This operation fails if the conversation profile is
still referenced from a phone number.
name (str):
Required. The name of the conversation profile to
delete. Format:
``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
This corresponds to the ``name`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
retry (google.api_core.retry.Retry): Designation of what errors, if any,
should be retried.
timeout (float): The timeout for this request.
metadata (Sequence[Tuple[str, str]]): Strings which should be
sent along with the request as metadata.
"""
# 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, conversation_profile.DeleteConversationProfileRequest
):
request = conversation_profile.DeleteConversationProfileRequest(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_conversation_profile
]
# 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 set_suggestion_feature_config(
self,
request: Optional[
Union[gcd_conversation_profile.SetSuggestionFeatureConfigRequest, dict]
] = None,
*,
conversation_profile: Optional[str] = None,
participant_role: Optional[participant.Participant.Role] = None,
suggestion_feature_config: Optional[
gcd_conversation_profile.HumanAgentAssistantConfig.SuggestionFeatureConfig
] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Adds or updates a suggestion feature in a conversation profile.
If the conversation profile contains the type of suggestion
feature for the participant role, it will update it. Otherwise
it will insert the suggestion feature.
This method is a `long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>`__.
The returned ``Operation`` type has the following
method-specific fields:
- ``metadata``:
[SetSuggestionFeatureConfigOperationMetadata][google.cloud.dialogflow.v2.SetSuggestionFeatureConfigOperationMetadata]
- ``response``:
[ConversationProfile][google.cloud.dialogflow.v2.ConversationProfile]
If a long running operation to add or update suggestion feature
config for the same conversation profile, participant role and
suggestion feature type exists, please cancel the existing long
running operation before sending such request, otherwise the
request will be rejected.
.. 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 dialogflow_v2
def sample_set_suggestion_feature_config():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
request = dialogflow_v2.SetSuggestionFeatureConfigRequest(
conversation_profile="conversation_profile_value",
participant_role="END_USER",
)
# Make the request
operation = client.set_suggestion_feature_config(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.SetSuggestionFeatureConfigRequest, dict]):
The request object. The request message for
[ConversationProfiles.SetSuggestionFeature][].
conversation_profile (str):
Required. The Conversation Profile to add or update the
suggestion feature config. Format:
``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
This corresponds to the ``conversation_profile`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
participant_role (google.cloud.dialogflow_v2.types.Participant.Role):
Required. The participant role to add or update the
suggestion feature config. Only HUMAN_AGENT or END_USER
can be used.
This corresponds to the ``participant_role`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
suggestion_feature_config (google.cloud.dialogflow_v2.types.HumanAgentAssistantConfig.SuggestionFeatureConfig):
Required. The suggestion feature
config to add or update.
This corresponds to the ``suggestion_feature_config`` 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.cloud.dialogflow_v2.types.ConversationProfile`
Defines the services to connect to incoming Dialogflow
conversations.
"""
# 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(
[conversation_profile, participant_role, suggestion_feature_config]
)
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, gcd_conversation_profile.SetSuggestionFeatureConfigRequest
):
request = gcd_conversation_profile.SetSuggestionFeatureConfigRequest(
request
)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if conversation_profile is not None:
request.conversation_profile = conversation_profile
if participant_role is not None:
request.participant_role = participant_role
if suggestion_feature_config is not None:
request.suggestion_feature_config = suggestion_feature_config
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.set_suggestion_feature_config
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("conversation_profile", request.conversation_profile),)
),
)
# 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,
gcd_conversation_profile.ConversationProfile,
metadata_type=gcd_conversation_profile.SetSuggestionFeatureConfigOperationMetadata,
)
# Done; return the response.
return response
[docs] def clear_suggestion_feature_config(
self,
request: Optional[
Union[gcd_conversation_profile.ClearSuggestionFeatureConfigRequest, dict]
] = None,
*,
conversation_profile: Optional[str] = None,
participant_role: Optional[participant.Participant.Role] = None,
suggestion_feature_type: Optional[
gcd_conversation_profile.SuggestionFeature.Type
] = None,
retry: OptionalRetry = gapic_v1.method.DEFAULT,
timeout: Union[float, object] = gapic_v1.method.DEFAULT,
metadata: Sequence[Tuple[str, str]] = (),
) -> operation.Operation:
r"""Clears a suggestion feature from a conversation profile for the
given participant role.
This method is a `long-running
operation <https://cloud.google.com/dialogflow/es/docs/how/long-running-operations>`__.
The returned ``Operation`` type has the following
method-specific fields:
- ``metadata``:
[ClearSuggestionFeatureConfigOperationMetadata][google.cloud.dialogflow.v2.ClearSuggestionFeatureConfigOperationMetadata]
- ``response``:
[ConversationProfile][google.cloud.dialogflow.v2.ConversationProfile]
.. 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 dialogflow_v2
def sample_clear_suggestion_feature_config():
# Create a client
client = dialogflow_v2.ConversationProfilesClient()
# Initialize request argument(s)
request = dialogflow_v2.ClearSuggestionFeatureConfigRequest(
conversation_profile="conversation_profile_value",
participant_role="END_USER",
suggestion_feature_type="KNOWLEDGE_ASSIST",
)
# Make the request
operation = client.clear_suggestion_feature_config(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Args:
request (Union[google.cloud.dialogflow_v2.types.ClearSuggestionFeatureConfigRequest, dict]):
The request object. The request message for
[ConversationProfiles.ClearFeature][].
conversation_profile (str):
Required. The Conversation Profile to add or update the
suggestion feature config. Format:
``projects/<Project ID>/locations/<Location ID>/conversationProfiles/<Conversation Profile ID>``.
This corresponds to the ``conversation_profile`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
participant_role (google.cloud.dialogflow_v2.types.Participant.Role):
Required. The participant role to remove the suggestion
feature config. Only HUMAN_AGENT or END_USER can be
used.
This corresponds to the ``participant_role`` field
on the ``request`` instance; if ``request`` is provided, this
should not be set.
suggestion_feature_type (google.cloud.dialogflow_v2.types.SuggestionFeature.Type):
Required. The type of the suggestion
feature to remove.
This corresponds to the ``suggestion_feature_type`` 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.cloud.dialogflow_v2.types.ConversationProfile`
Defines the services to connect to incoming Dialogflow
conversations.
"""
# 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(
[conversation_profile, participant_role, suggestion_feature_type]
)
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, gcd_conversation_profile.ClearSuggestionFeatureConfigRequest
):
request = gcd_conversation_profile.ClearSuggestionFeatureConfigRequest(
request
)
# If we have keyword arguments corresponding to fields on the
# request, apply these.
if conversation_profile is not None:
request.conversation_profile = conversation_profile
if participant_role is not None:
request.participant_role = participant_role
if suggestion_feature_type is not None:
request.suggestion_feature_type = suggestion_feature_type
# Wrap the RPC method; this adds retry and timeout information,
# and friendly error handling.
rpc = self._transport._wrapped_methods[
self._transport.clear_suggestion_feature_config
]
# Certain fields should be provided within the metadata header;
# add these here.
metadata = tuple(metadata) + (
gapic_v1.routing_header.to_grpc_metadata(
(("conversation_profile", request.conversation_profile),)
),
)
# 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,
gcd_conversation_profile.ConversationProfile,
metadata_type=gcd_conversation_profile.ClearSuggestionFeatureConfigOperationMetadata,
)
# Done; return the response.
return response
def __enter__(self) -> "ConversationProfilesClient":
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__ = ("ConversationProfilesClient",)
