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TestCasesAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflowcx_v3.services.test_cases.transports.base.TestCasesTransport] = '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 [Test Cases][google.cloud.dialogflow.cx.v3.TestCase] and [Test Case Results][google.cloud.dialogflow.cx.v3.TestCaseResult].
Properties
transport
Returns the transport used by the client instance.
Returns | |
---|---|
Type | Description |
TestCasesTransport | The transport used by the client instance. |
Methods
TestCasesAsyncClient
TestCasesAsyncClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Union[str, google.cloud.dialogflowcx_v3.services.test_cases.transports.base.TestCasesTransport] = '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 test cases 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,
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 |
Exceptions | |
---|---|
Type | Description |
google.auth.exceptions.MutualTlsChannelError | If mutual TLS transport creation failed for any reason. |
agent_path
agent_path(project: str, location: str, agent: str)
Returns a fully-qualified agent string.
batch_delete_test_cases
batch_delete_test_cases(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.BatchDeleteTestCasesRequest, 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]] = ())
Batch deletes test cases.
from google.cloud import dialogflowcx_v3
def sample_batch_delete_test_cases():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.BatchDeleteTestCasesRequest(
parent="parent_value",
names=['names_value_1', 'names_value_2'],
)
# Make the request
client.batch_delete_test_cases(request=request)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.BatchDeleteTestCasesRequest, dict]
The request object. The request message for TestCases.BatchDeleteTestCases. |
parent |
Required. The agent to delete test cases from. 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. |
batch_run_test_cases
batch_run_test_cases(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.BatchRunTestCasesRequest, 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 batch run of test cases.
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_BatchRunTestCasesMetadataresponse
: xref_BatchRunTestCasesResponse
from google.cloud import dialogflowcx_v3
def sample_batch_run_test_cases():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.BatchRunTestCasesRequest(
parent="parent_value",
test_cases=['test_cases_value_1', 'test_cases_value_2'],
)
# Make the request
operation = client.batch_run_test_cases(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.BatchRunTestCasesRequest, dict]
The request object. The request message for TestCases.BatchRunTestCases. |
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_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be BatchRunTestCasesResponse The response message for TestCases.BatchRunTestCases. |
calculate_coverage
calculate_coverage(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.CalculateCoverageRequest, 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]] = ())
Calculates the test coverage for an agent.
from google.cloud import dialogflowcx_v3
def sample_calculate_coverage():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.CalculateCoverageRequest(
agent="agent_value",
type_="TRANSITION_ROUTE_GROUP",
)
# Make the request
response = client.calculate_coverage(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.CalculateCoverageRequest, dict]
The request object. The request message for TestCases.CalculateCoverage. |
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.CalculateCoverageResponse | The response message for TestCases.CalculateCoverage. |
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_test_case
create_test_case(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.CreateTestCaseRequest, dict]] = None, *, parent: Optional[str] = None, test_case: Optional[google.cloud.dialogflowcx_v3.types.test_case.TestCase] = 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 a test case for the given agent.
from google.cloud import dialogflowcx_v3
def sample_create_test_case():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
test_case = dialogflowcx_v3.TestCase()
test_case.display_name = "display_name_value"
request = dialogflowcx_v3.CreateTestCaseRequest(
parent="parent_value",
test_case=test_case,
)
# Make the request
response = client.create_test_case(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.CreateTestCaseRequest, dict]
The request object. The request message for TestCases.CreateTestCase. |
parent |
Required. The agent to create the test case for. Format: |
test_case |
TestCase
Required. The test case to create. This corresponds to the |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.types.TestCase | Represents a test case. |
entity_type_path
entity_type_path(project: str, location: str, agent: str, entity_type: str)
Returns a fully-qualified entity_type string.
environment_path
environment_path(project: str, location: str, agent: str, environment: str)
Returns a fully-qualified environment string.
export_test_cases
export_test_cases(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.ExportTestCasesRequest, 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]] = ())
Exports the test cases under the agent to a Cloud Storage bucket or a local file. Filter can be applied to export a subset of test cases.
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_ExportTestCasesMetadataresponse
: xref_ExportTestCasesResponse
from google.cloud import dialogflowcx_v3
def sample_export_test_cases():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ExportTestCasesRequest(
gcs_uri="gcs_uri_value",
parent="parent_value",
)
# Make the request
operation = client.export_test_cases(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.ExportTestCasesRequest, dict]
The request object. The request message for TestCases.ExportTestCases. |
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_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be ExportTestCasesResponse The response message for TestCases.ExportTestCases. |
flow_path
flow_path(project: str, location: str, agent: str, flow: str)
Returns a fully-qualified flow 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 |
TestCasesAsyncClient | 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 |
TestCasesAsyncClient | 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 |
TestCasesAsyncClient | The constructed client. |
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. |
get_test_case
get_test_case(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.GetTestCaseRequest, 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]] = ())
Gets a test case.
from google.cloud import dialogflowcx_v3
def sample_get_test_case():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.GetTestCaseRequest(
name="name_value",
)
# Make the request
response = client.get_test_case(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.GetTestCaseRequest, dict]
The request object. The request message for TestCases.GetTestCase. |
name |
Required. The name of the testcase. 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.TestCase | Represents a test case. |
get_test_case_result
get_test_case_result(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.GetTestCaseResultRequest, 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]] = ())
Gets a test case result.
from google.cloud import dialogflowcx_v3
def sample_get_test_case_result():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.GetTestCaseResultRequest(
name="name_value",
)
# Make the request
response = client.get_test_case_result(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.GetTestCaseResultRequest, dict]
The request object. The request message for TestCases.GetTestCaseResult. |
name |
Required. The name of the testcase. 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.TestCaseResult | Represents a result from running a test case in an agent environment. |
get_transport_class
get_transport_class()
Returns an appropriate transport class.
import_test_cases
import_test_cases(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.ImportTestCasesRequest, 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]] = ())
Imports the test cases from a Cloud Storage bucket or a local file. It always creates new test cases and won't overwite any existing ones. The provided ID in the imported test case is neglected.
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_ImportTestCasesMetadataresponse
: xref_ImportTestCasesResponse
from google.cloud import dialogflowcx_v3
def sample_import_test_cases():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ImportTestCasesRequest(
gcs_uri="gcs_uri_value",
parent="parent_value",
)
# Make the request
operation = client.import_test_cases(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.ImportTestCasesRequest, dict]
The request object. The request message for TestCases.ImportTestCases. |
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_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be ImportTestCasesResponse The response message for TestCases.ImportTestCases. |
intent_path
intent_path(project: str, location: str, agent: str, intent: str)
Returns a fully-qualified intent string.
list_test_case_results
list_test_case_results(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.ListTestCaseResultsRequest, 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 results for a given test case.
from google.cloud import dialogflowcx_v3
def sample_list_test_case_results():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ListTestCaseResultsRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_test_case_results(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ListTestCaseResultsRequest, dict]
The request object. The request message for TestCases.ListTestCaseResults. |
parent |
Required. The test case 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.test_cases.pagers.ListTestCaseResultsAsyncPager | The response message for TestCases.ListTestCaseResults. Iterating over this object will yield results and resolve additional pages automatically. |
list_test_cases
list_test_cases(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.ListTestCasesRequest, 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 test cases for a given agent.
from google.cloud import dialogflowcx_v3
def sample_list_test_cases():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.ListTestCasesRequest(
parent="parent_value",
)
# Make the request
page_result = client.list_test_cases(request=request)
# Handle the response
for response in page_result:
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.ListTestCasesRequest, dict]
The request object. The request message for TestCases.ListTestCases. |
parent |
Required. The agent to list all pages 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.test_cases.pagers.ListTestCasesAsyncPager | The response message for TestCases.ListTestCases. Iterating over this object will yield results and resolve additional pages automatically. |
page_path
page_path(project: str, location: str, agent: str, flow: str, page: str)
Returns a fully-qualified page string.
parse_agent_path
parse_agent_path(path: str)
Parses a agent path into its component segments.
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_entity_type_path
parse_entity_type_path(path: str)
Parses a entity_type path into its component segments.
parse_environment_path
parse_environment_path(path: str)
Parses a environment path into its component segments.
parse_flow_path
parse_flow_path(path: str)
Parses a flow path into its component segments.
parse_intent_path
parse_intent_path(path: str)
Parses a intent path into its component segments.
parse_page_path
parse_page_path(path: str)
Parses a page 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_transition_route_group_path
parse_transition_route_group_path(path: str)
Parses a transition_route_group path into its component segments.
parse_webhook_path
parse_webhook_path(path: str)
Parses a webhook path into its component segments.
run_test_case
run_test_case(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.RunTestCaseRequest, 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 test case run.
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_RunTestCaseMetadataresponse
: xref_RunTestCaseResponse
from google.cloud import dialogflowcx_v3
def sample_run_test_case():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
request = dialogflowcx_v3.RunTestCaseRequest(
name="name_value",
)
# Make the request
operation = client.run_test_case(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.RunTestCaseRequest, dict]
The request object. The request message for TestCases.RunTestCase. |
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_async.AsyncOperation | An object representing a long-running operation. The result type for the operation will be RunTestCaseResponse The response message for TestCases.RunTestCase. |
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.
transition_route_group_path
transition_route_group_path(
project: str, location: str, agent: str, flow: str, transition_route_group: str
)
Returns a fully-qualified transition_route_group string.
update_test_case
update_test_case(request: Optional[Union[google.cloud.dialogflowcx_v3.types.test_case.UpdateTestCaseRequest, dict]] = None, *, test_case: Optional[google.cloud.dialogflowcx_v3.types.test_case.TestCase] = 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 test case.
from google.cloud import dialogflowcx_v3
def sample_update_test_case():
# Create a client
client = dialogflowcx_v3.TestCasesClient()
# Initialize request argument(s)
test_case = dialogflowcx_v3.TestCase()
test_case.display_name = "display_name_value"
request = dialogflowcx_v3.UpdateTestCaseRequest(
test_case=test_case,
)
# Make the request
response = client.update_test_case(request=request)
# Handle the response
print(response)
Parameters | |
---|---|
Name | Description |
request |
Union[google.cloud.dialogflowcx_v3.types.UpdateTestCaseRequest, dict]
The request object. The request message for TestCases.UpdateTestCase. |
test_case |
TestCase
Required. The test case to update. This corresponds to the |
update_mask |
Required. The mask to specify which fields should be updated. The [ |
retry |
google.api_core.retry.Retry
Designation of what errors, if any, should be retried. |
timeout |
float
The timeout for this request. |
metadata |
Sequence[Tuple[str, str]]
Strings which should be sent along with the request as metadata. |
Returns | |
---|---|
Type | Description |
google.cloud.dialogflowcx_v3.types.TestCase | Represents a test case. |
webhook_path
webhook_path(project: str, location: str, agent: str, webhook: str)
Returns a fully-qualified webhook string.