Class EnvironmentsAsyncClient (2.14.0)

EnvironmentsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2beta1.services.environments.transports.base.EnvironmentsTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Service for managing Environments.

Inheritance

builtins.object > EnvironmentsAsyncClient

Properties

transport

Returns the transport used by the client instance.

Returns
TypeDescription
EnvironmentsTransportThe transport used by the client instance.

Methods

EnvironmentsAsyncClient

EnvironmentsAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflow_v2beta1.services.environments.transports.base.EnvironmentsTransport] = 'grpc_asyncio', client_options: Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the environments client.

Parameters
NameDescription
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 Union[str, `.EnvironmentsTransport`]

The transport to use. If set to None, a transport is chosen automatically.

client_options ClientOptions

Custom options for the client. It won't take effect if a transport instance is provided. (1) The api_endpoint property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "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). However, the api_endpoint property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide client certificate for mutual TLS 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.

Exceptions
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf mutual TLS transport creation failed for any reason.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

create_environment

create_environment(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.environment.CreateEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Creates an agent environment.

from google.cloud import dialogflow_v2beta1

async def sample_create_environment():
    # Create a client
    client = dialogflow_v2beta1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.CreateEnvironmentRequest(
        parent="parent_value",
        environment_id="environment_id_value",
    )

    # Make the request
    response = await client.create_environment(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.CreateEnvironmentRequest, dict]

The request object. The request message for Environments.CreateEnvironment.

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
TypeDescription
google.cloud.dialogflow_v2beta1.types.EnvironmentYou can create multiple versions of your agent and publish them to separate environments. When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent. When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for: - testing - development - production - etc. For more information, see the [versions and environments guide](\ https://cloud.google.com/dialogflow/docs/agents-versions).

delete_environment

delete_environment(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.environment.DeleteEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Deletes the specified agent environment.

from google.cloud import dialogflow_v2beta1

async def sample_delete_environment():
    # Create a client
    client = dialogflow_v2beta1.EnvironmentsAsyncClient()

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

    # Make the request
    await client.delete_environment(request=request)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.DeleteEnvironmentRequest, dict]

The request object. The request message for Environments.DeleteEnvironment.

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.

environment_path

environment_path(project: str, environment: str)

Returns a fully-qualified environment string.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
EnvironmentsAsyncClientThe constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

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

Parameter
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
EnvironmentsAsyncClientThe constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

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

Parameter
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
EnvironmentsAsyncClientThe constructed client.

fulfillment_path

fulfillment_path(project: str)

Returns a fully-qualified fulfillment string.

get_environment

get_environment(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.environment.GetEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Retrieves the specified agent environment.

from google.cloud import dialogflow_v2beta1

async def sample_get_environment():
    # Create a client
    client = dialogflow_v2beta1.EnvironmentsAsyncClient()

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

    # Make the request
    response = await client.get_environment(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.GetEnvironmentRequest, dict]

The request object. The request message for Environments.GetEnvironment.

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
TypeDescription
google.cloud.dialogflow_v2beta1.types.EnvironmentYou can create multiple versions of your agent and publish them to separate environments. When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent. When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for: - testing - development - production - etc. For more information, see the [versions and environments guide](\ https://cloud.google.com/dialogflow/docs/agents-versions).

get_environment_history

get_environment_history(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.environment.GetEnvironmentHistoryRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Gets the history of the specified environment.

from google.cloud import dialogflow_v2beta1

async def sample_get_environment_history():
    # Create a client
    client = dialogflow_v2beta1.EnvironmentsAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.GetEnvironmentHistoryRequest, dict]

The request object. The request message for Environments.GetEnvironmentHistory.

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
TypeDescription
google.cloud.dialogflow_v2beta1.services.environments.pagers.GetEnvironmentHistoryAsyncPagerThe response message for Environments.GetEnvironmentHistory. Iterating over this object will yield results and resolve additional pages automatically.

get_mtls_endpoint_and_cert_source

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

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 variabel is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

More details can be found at https://google.aip.dev/auth/4114.

Parameter
NameDescription
client_options google.api_core.client_options.ClientOptions

Custom options for the client. Only the api_endpoint and client_cert_source properties may be used in this method.

Exceptions
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
Tuple[str, Callable[[], Tuple[bytes, bytes]]]returns the API endpoint and the client cert source to use.

get_transport_class

get_transport_class()

Returns an appropriate transport class.

list_environments

list_environments(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.environment.ListEnvironmentsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Returns the list of all non-draft environments of the specified agent.

from google.cloud import dialogflow_v2beta1

async def sample_list_environments():
    # Create a client
    client = dialogflow_v2beta1.EnvironmentsAsyncClient()

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

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

    # Handle the response
    async for response in page_result:
        print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.ListEnvironmentsRequest, dict]

The request object. The request message for Environments.ListEnvironments.

parent `str`

Required. The agent to list all environments from. Format: - projects/<Project Number / ID>/agent - projects/<Project Number / ID>/locations/<Location ID>/agent 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
TypeDescription
google.cloud.dialogflow_v2beta1.services.environments.pagers.ListEnvironmentsAsyncPagerThe response message for Environments.ListEnvironments. Iterating over this object will yield results and resolve additional pages automatically.

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_environment_path

parse_environment_path(path: str)

Parses a environment path into its component segments.

parse_fulfillment_path

parse_fulfillment_path(path: str)

Parses a fulfillment path into its component segments.

parse_version_path

parse_version_path(path: str)

Parses a version path into its component segments.

update_environment

update_environment(request: Optional[Union[google.cloud.dialogflow_v2beta1.types.environment.UpdateEnvironmentRequest, dict]] = None, *, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Optional[float] = None, metadata: Sequence[Tuple[str, str]] = ())

Updates the specified agent environment.

This method allows you to deploy new agent versions into the environment. When an environment is pointed to a new agent version by setting environment.agent_version, the environment is temporarily set to the LOADING state. During that time, the environment keeps on serving the previous version of the agent. After the new agent version is done loading, the environment is set back to the RUNNING state. You can use "-" as Environment ID in environment name to update version in "draft" environment. WARNING: this will negate all recent changes to draft and can't be undone. You may want to save the draft to a version before calling this function.

from google.cloud import dialogflow_v2beta1

async def sample_update_environment():
    # Create a client
    client = dialogflow_v2beta1.EnvironmentsAsyncClient()

    # Initialize request argument(s)
    request = dialogflow_v2beta1.UpdateEnvironmentRequest(
    )

    # Make the request
    response = await client.update_environment(request=request)

    # Handle the response
    print(response)
Parameters
NameDescription
request Union[google.cloud.dialogflow_v2beta1.types.UpdateEnvironmentRequest, dict]

The request object. The request message for Environments.UpdateEnvironment.

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
TypeDescription
google.cloud.dialogflow_v2beta1.types.EnvironmentYou can create multiple versions of your agent and publish them to separate environments. When you edit an agent, you are editing the draft agent. At any point, you can save the draft agent as an agent version, which is an immutable snapshot of your agent. When you save the draft agent, it is published to the default environment. When you create agent versions, you can publish them to custom environments. You can create a variety of custom environments for: - testing - development - production - etc. For more information, see the [versions and environments guide](\ https://cloud.google.com/dialogflow/docs/agents-versions).

version_path

version_path(project: str, version: str)

Returns a fully-qualified version string.