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EnvironmentsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflowcx_v3.services.environments.transports.base.EnvironmentsTransport]] = None, 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.
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
EnvironmentsTransport | The transport used by the client instance. |
Methods
EnvironmentsClient
EnvironmentsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.dialogflowcx_v3.services.environments.transports.base.EnvironmentsTransport]] = None, 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 | |
---|---|
Name | Description |
credentials |
Optional[google.auth.credentials.Credentials]
The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment. |
transport |
Union[str, EnvironmentsTransport]
The transport to use. If set to None, a transport is chosen automatically. |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. It won't take effect if a |
client_info |
google.api_core.gapic_v1.client_info.ClientInfo
The client info used to send a user-agent string along with API requests. If |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If mutual TLS transport creation failed for any reason. |
__exit__
__exit__(type, value, traceback)
Releases underlying transport's resources.
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.
continuous_test_result_path
continuous_test_result_path(
project: str,
location: str,
agent: str,
environment: str,
continuous_test_result: str,
)
Returns a fully-qualified continuous_test_result string.
create_environment
create_environment(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.CreateEnvironmentRequest, dict]] = None, *, parent: Optional[str] = None, environment: Optional[google.cloud.dialogflowcx_v3.types.environment.Environment] = 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 xref_Environment in the specified xref_Agent.
This method is a long-running
operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: xref_Environment
from google.cloud import dialogflowcx_v3
def sample_create_environment():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
environment = dialogflowcx_v3.Environment()
environment.display_name = "display_name_value"
environment.version_configs.version = "version_value"
request = dialogflowcx_v3.CreateEnvironmentRequest(
parent="parent_value",
environment=environment,
)
# Make the request
operation = client.create_environment(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.CreateEnvironmentRequest, dict]
The request object. The request message for Environments.CreateEnvironment. |
parent |
str
Required. The Agent to create an Environment for. Format: |
environment |
google.cloud.dialogflowcx_v3.types.Environment
Required. The environment to create. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Environment Represents an environment for an agent. You 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. |
delete_environment
delete_environment(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.DeleteEnvironmentRequest, dict]] = None, *, name: 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]] = ())
Deletes the specified xref_Environment.
from google.cloud import dialogflowcx_v3
def sample_delete_environment():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.DeleteEnvironmentRequest(
name="name_value",
)
# Make the request
client.delete_environment(request=request)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.DeleteEnvironmentRequest, dict]
The request object. The request message for Environments.DeleteEnvironment. |
name |
str
Required. The name of the Environment to delete. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
deploy_flow
deploy_flow(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.DeployFlowRequest, 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]] = ())
Deploys a flow to the specified xref_Environment.
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
: xref_DeployFlowMetadataresponse
: xref_DeployFlowResponse
from google.cloud import dialogflowcx_v3
def sample_deploy_flow():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.DeployFlowRequest(
environment="environment_value",
flow_version="flow_version_value",
)
# Make the request
operation = client.deploy_flow(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.DeployFlowRequest, dict]
The request object. The request message for Environments.DeployFlow. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be DeployFlowResponse The response message for Environments.DeployFlow. |
environment_path
environment_path(project: str, location: str, agent: 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 | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
EnvironmentsClient | The constructed client. |
from_service_account_info
from_service_account_info(info: dict, *args, **kwargs)
Creates an instance of this client using the provided credentials info.
Parameter | |
---|---|
Name | Description |
info |
dict
The service account private key info. |
Returns | |
---|---|
Type | Description |
EnvironmentsClient | The constructed client. |
from_service_account_json
from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials file.
Parameter | |
---|---|
Name | Description |
filename |
str
The path to the service account private key json file. |
Returns | |
---|---|
Type | Description |
EnvironmentsClient | The constructed client. |
get_environment
get_environment(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.GetEnvironmentRequest, dict]] = None, *, name: 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]] = ())
Retrieves the specified xref_Environment.
from google.cloud import dialogflowcx_v3
def sample_get_environment():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.GetEnvironmentRequest(
name="name_value",
)
# Make the request
response = client.get_environment(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.GetEnvironmentRequest, dict]
The request object. The request message for Environments.GetEnvironment. |
name |
str
Required. The name of the Environment. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.types.Environment | Represents an environment for an agent. You 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. |
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 | |
---|---|
Name | Description |
client_options |
google.api_core.client_options.ClientOptions
Custom options for the client. Only the |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTLSChannelError | If any errors happen. |
Returns | |
---|---|
Type | Description |
Tuple[str, Callable[[], Tuple[bytes, bytes]]] | returns the API endpoint and the client cert source to use. |
list_continuous_test_results
list_continuous_test_results(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.ListContinuousTestResultsRequest, 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]] = ())
Fetches a list of continuous test results for a given environment.
from google.cloud import dialogflowcx_v3
def sample_list_continuous_test_results():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ListContinuousTestResultsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_continuous_test_results(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ListContinuousTestResultsRequest, dict]
The request object. The request message for Environments.ListContinuousTestResults. |
parent |
str
Required. The environment to list results for. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.services.environments.pagers.ListContinuousTestResultsPager | The response message for [Environments.ListTestCaseResults][]. Iterating over this object will yield results and resolve additional pages automatically. |
list_environments
list_environments(request: Optional[Union[google.cloud.dialogflowcx_v3.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 environments in the specified xref_Agent.
from google.cloud import dialogflowcx_v3
def sample_list_environments():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ListEnvironmentsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_environments(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ListEnvironmentsRequest, dict]
The request object. The request message for Environments.ListEnvironments. |
parent |
str
Required. The Agent to list all environments for. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.services.environments.pagers.ListEnvironmentsPager | The response message for Environments.ListEnvironments. Iterating over this object will yield results and resolve additional pages automatically. |
lookup_environment_history
lookup_environment_history(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.LookupEnvironmentHistoryRequest, dict]] = None, *, name: 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]] = ())
Looks up the history of the specified xref_Environment.
from google.cloud import dialogflowcx_v3
def sample_lookup_environment_history():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.LookupEnvironmentHistoryRequest(
name="name_value",
)
# Make the request
page_result = client.lookup_environment_history(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.LookupEnvironmentHistoryRequest, dict]
The request object. The request message for Environments.LookupEnvironmentHistory. |
name |
str
Required. Resource name of the environment to look up the history for. Format: |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.services.environments.pagers.LookupEnvironmentHistoryPager | The response message for Environments.LookupEnvironmentHistory. 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_continuous_test_result_path
parse_continuous_test_result_path(path: str)
Parses a continuous_test_result path into its component segments.
parse_environment_path
parse_environment_path(path: str)
Parses a environment path into its component segments.
parse_test_case_path
parse_test_case_path(path: str)
Parses a test_case path into its component segments.
parse_test_case_result_path
parse_test_case_result_path(path: str)
Parses a test_case_result path into its component segments.
parse_version_path
parse_version_path(path: str)
Parses a version path into its component segments.
run_continuous_test
run_continuous_test(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.RunContinuousTestRequest, 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]] = ())
Kicks off a continuous test under the specified xref_Environment.
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
: xref_RunContinuousTestMetadataresponse
: xref_RunContinuousTestResponse
from google.cloud import dialogflowcx_v3
def sample_run_continuous_test():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
request = dialogflowcx_v3.RunContinuousTestRequest(
environment="environment_value",
)
# Make the request
operation = client.run_continuous_test(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.RunContinuousTestRequest, dict]
The request object. The request message for Environments.RunContinuousTest. |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be RunContinuousTestResponse The response message for Environments.RunContinuousTest. |
test_case_path
test_case_path(project: str, location: str, agent: str, test_case: str)
Returns a fully-qualified test_case string.
test_case_result_path
test_case_result_path(
project: str, location: str, agent: str, test_case: str, result: str
)
Returns a fully-qualified test_case_result string.
update_environment
update_environment(request: Optional[Union[google.cloud.dialogflowcx_v3.types.environment.UpdateEnvironmentRequest, dict]] = None, *, environment: Optional[google.cloud.dialogflowcx_v3.types.environment.Environment] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = 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 xref_Environment.
This method is a long-running
operation <https://cloud.google.com/dialogflow/cx/docs/how/long-running-operation>
__.
The returned Operation
type has the following
method-specific fields:
metadata
: An emptyStruct message <https://developers.google.com/protocol-buffers/docs/reference/google.protobuf#struct>
__response
: xref_Environment
from google.cloud import dialogflowcx_v3
def sample_update_environment():
# Create a client
client = dialogflowcx_v3.EnvironmentsClient()
# Initialize request argument(s)
environment = dialogflowcx_v3.Environment()
environment.display_name = "display_name_value"
environment.version_configs.version = "version_value"
request = dialogflowcx_v3.UpdateEnvironmentRequest(
environment=environment,
)
# Make the request
operation = client.update_environment(request=request)
print("Waiting for operation to complete...")
response = operation.result()
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.UpdateEnvironmentRequest, dict]
The request object. The request message for Environments.UpdateEnvironment. |
environment |
google.cloud.dialogflowcx_v3.types.Environment
Required. The environment to update. This corresponds to the |
update_mask |
google.protobuf.field_mask_pb2.FieldMask
Required. The mask to control which fields get updated. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.api_core.operation.Operation | An object representing a long-running operation. The result type for the operation will be Environment Represents an environment for an agent. You 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. |
version_path
version_path(project: str, location: str, agent: str, flow: str, version: str)
Returns a fully-qualified version string.