Class ContactCenterInsightsClient (1.3.2)

Version 1.3.2

• 1.22.0 (latest)
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ContactCenterInsightsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport]] = 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>)

An API that lets users analyze and explore their business conversation data.

Properties

transport

Returns the transport used by the client instance.

Returns
Type	Description
ContactCenterInsightsTransport	The transport used by the client instance.

Methods

ContactCenterInsightsClient

ContactCenterInsightsClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport]] = 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 contact center insights 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, ContactCenterInsightsTransport] 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 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.
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.

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.

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!

analysis_path

analysis_path(project: str, location: str, conversation: str, analysis: str)

Returns a fully-qualified analysis string.

calculate_issue_model_stats

calculate_issue_model_stats(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateIssueModelStatsRequest, dict]] = None, *, issue_model: 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 an issue model's statistics.

from google.cloud import contact_center_insights_v1

def sample_calculate_issue_model_stats():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.CalculateIssueModelStatsRequest(
        issue_model="issue_model_value",
    )

    # Make the request
    response = client.calculate_issue_model_stats(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsRequest, dict] The request object. Request to get statistics of an issue model.
issue_model	str Required. The resource name of the issue model to query against. This corresponds to the issue_model 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
Type	Description
google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsResponse	Response of querying an issue model's statistics.

calculate_stats

calculate_stats(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateStatsRequest, dict]] = None, *, location: 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 conversation statistics.

from google.cloud import contact_center_insights_v1

def sample_calculate_stats():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.CalculateStatsRequest(
        location="location_value",
    )

    # Make the request
    response = client.calculate_stats(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CalculateStatsRequest, dict] The request object. The request for calculating conversation statistics.
location	str Required. The location of the conversations. This corresponds to the location 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
Type	Description
google.cloud.contact_center_insights_v1.types.CalculateStatsResponse	The response for calculating conversation statistics.

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.

conversation_path

conversation_path(project: str, location: str, conversation: str)

Returns a fully-qualified conversation string.

create_analysis

create_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateAnalysisRequest, dict]] = None, *, parent: Optional[str] = None, analysis: Optional[google.cloud.contact_center_insights_v1.types.resources.Analysis] = 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 analysis. The long running operation is done when the analysis has completed.

from google.cloud import contact_center_insights_v1

def sample_create_analysis():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.CreateAnalysisRequest(
        parent="parent_value",
    )

    # Make the request
    operation = client.create_analysis(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateAnalysisRequest, dict] The request object. The request to create an analysis.
parent	str Required. The parent resource of the analysis. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
analysis	google.cloud.contact_center_insights_v1.types.Analysis Required. The analysis to create. This corresponds to the analysis 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
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be Analysis The analysis resource.

create_conversation

create_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateConversationRequest, dict]] = None, *, parent: Optional[str] = None, conversation: Optional[google.cloud.contact_center_insights_v1.types.resources.Conversation] = None, conversation_id: 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]] = ())

Creates a conversation.

from google.cloud import contact_center_insights_v1

def sample_create_conversation():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.CreateConversationRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.create_conversation(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateConversationRequest, dict] The request object. Request to create a conversation.
parent	str Required. The parent resource of the conversation. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
conversation	google.cloud.contact_center_insights_v1.types.Conversation Required. The conversation resource to create. This corresponds to the conversation field on the request instance; if request is provided, this should not be set.
conversation_id	str A unique ID for the new conversation. This ID will become the final component of the conversation's resource name. If no ID is specified, a server-generated ID will be used. This value should be 4-64 characters and must match the regular expression ^[a-z0-9-]{4,64}$. Valid characters are `<code>a-z][0-9]</code>- This corresponds to the conversation_id 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
Type	Description
google.cloud.contact_center_insights_v1.types.Conversation	The conversation resource.

create_issue_model

create_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateIssueModelRequest, dict]] = None, *, parent: Optional[str] = None, issue_model: Optional[google.cloud.contact_center_insights_v1.types.resources.IssueModel] = 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 issue model.

from google.cloud import contact_center_insights_v1

def sample_create_issue_model():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.CreateIssueModelRequest(
        parent="parent_value",
    )

    # Make the request
    operation = client.create_issue_model(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateIssueModelRequest, dict] The request object. The request to create an issue model.
parent	str Required. The parent resource of the issue model. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
issue_model	google.cloud.contact_center_insights_v1.types.IssueModel Required. The issue model to create. This corresponds to the issue_model 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
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be IssueModel The issue model resource.

create_phrase_matcher

create_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreatePhraseMatcherRequest, dict]] = None, *, parent: Optional[str] = None, phrase_matcher: Optional[google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher] = 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 phrase matcher.

from google.cloud import contact_center_insights_v1

def sample_create_phrase_matcher():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    phrase_matcher = contact_center_insights_v1.PhraseMatcher()
    phrase_matcher.type_ = "ANY_OF"

    request = contact_center_insights_v1.CreatePhraseMatcherRequest(
        parent="parent_value",
        phrase_matcher=phrase_matcher,
    )

    # Make the request
    response = client.create_phrase_matcher(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreatePhraseMatcherRequest, dict] The request object. Request to create a phrase matcher.
parent	str Required. The parent resource of the phrase matcher. Required. The location to create a phrase matcher for. Format: projects/ or projects/ This corresponds to the parent field on the request instance; if request is provided, this should not be set.
phrase_matcher	google.cloud.contact_center_insights_v1.types.PhraseMatcher Required. The phrase matcher resource to create. This corresponds to the phrase_matcher 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
Type	Description
google.cloud.contact_center_insights_v1.types.PhraseMatcher	The phrase matcher resource.

create_view

create_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateViewRequest, dict]] = None, *, parent: Optional[str] = None, view: Optional[google.cloud.contact_center_insights_v1.types.resources.View] = 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 view.

from google.cloud import contact_center_insights_v1

def sample_create_view():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.CreateViewRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.create_view(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateViewRequest, dict] The request object. The request to create a view.
parent	str Required. The parent resource of the view. Required. The location to create a view for. Format: projects/ or projects/ This corresponds to the parent field on the request instance; if request is provided, this should not be set.
view	google.cloud.contact_center_insights_v1.types.View Required. The view resource to create. This corresponds to the view 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
Type	Description
google.cloud.contact_center_insights_v1.types.View	The View resource.

delete_analysis

delete_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteAnalysisRequest, 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 an analysis.

from google.cloud import contact_center_insights_v1

def sample_delete_analysis():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.DeleteAnalysisRequest(
        name="name_value",
    )

    # Make the request
    client.delete_analysis(request=request)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteAnalysisRequest, dict] The request object. The request to delete an analysis.
name	str Required. The name of the analysis to delete. 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.

delete_conversation

delete_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteConversationRequest, 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 a conversation.

from google.cloud import contact_center_insights_v1

def sample_delete_conversation():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.DeleteConversationRequest(
        name="name_value",
    )

    # Make the request
    client.delete_conversation(request=request)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteConversationRequest, dict] The request object. The request to delete a conversation.
name	str Required. The name of the conversation to delete. 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.

delete_issue_model

delete_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteIssueModelRequest, 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 an issue model.

from google.cloud import contact_center_insights_v1

def sample_delete_issue_model():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.DeleteIssueModelRequest(
        name="name_value",
    )

    # Make the request
    operation = client.delete_issue_model(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteIssueModelRequest, dict] The request object. The request to delete an issue model.
name	str Required. The name of the issue model to delete. 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
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); } The JSON representation for Empty is empty JSON object {}.

delete_phrase_matcher

delete_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeletePhraseMatcherRequest, 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 a phrase matcher.

from google.cloud import contact_center_insights_v1

def sample_delete_phrase_matcher():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.DeletePhraseMatcherRequest(
        name="name_value",
    )

    # Make the request
    client.delete_phrase_matcher(request=request)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeletePhraseMatcherRequest, dict] The request object. The request to delete a phrase matcher.
name	str Required. The name of the phrase matcher to delete. 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.

delete_view

delete_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteViewRequest, 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 a view.

from google.cloud import contact_center_insights_v1

def sample_delete_view():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.DeleteViewRequest(
        name="name_value",
    )

    # Make the request
    client.delete_view(request=request)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteViewRequest, dict] The request object. The request to delete a view.
name	str Required. The name of the view to delete. 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.

deploy_issue_model

deploy_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeployIssueModelRequest, 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]] = ())

Deploys an issue model. Returns an error if a model is already deployed. An issue model can only be used in analysis after it has been deployed.

from google.cloud import contact_center_insights_v1

def sample_deploy_issue_model():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.DeployIssueModelRequest(
        name="name_value",
    )

    # Make the request
    operation = client.deploy_issue_model(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeployIssueModelRequest, dict] The request object. The request to deploy an issue model.
name	str Required. The issue model to deploy. 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
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be DeployIssueModelResponse The response to deploy an issue model.

export_insights_data

export_insights_data(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ExportInsightsDataRequest, 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]] = ())

Export insights data to a destination defined in the request body.

from google.cloud import contact_center_insights_v1

def sample_export_insights_data():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    big_query_destination = contact_center_insights_v1.BigQueryDestination()
    big_query_destination.dataset = "dataset_value"

    request = contact_center_insights_v1.ExportInsightsDataRequest(
        big_query_destination=big_query_destination,
        parent="parent_value",
    )

    # Make the request
    operation = client.export_insights_data(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ExportInsightsDataRequest, dict] The request object. The request to export insights.
parent	str Required. The parent resource to export data from. 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
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be ExportInsightsDataResponse Response for an export insights operation.

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
ContactCenterInsightsClient	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
ContactCenterInsightsClient	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
ContactCenterInsightsClient	The constructed client.

get_analysis

get_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetAnalysisRequest, 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 an analysis.

from google.cloud import contact_center_insights_v1

def sample_get_analysis():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetAnalysisRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_analysis(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetAnalysisRequest, dict] The request object. The request to get an analysis.
name	str Required. The name of the analysis to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.Analysis	The analysis resource.

get_conversation

get_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetConversationRequest, 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 conversation.

from google.cloud import contact_center_insights_v1

def sample_get_conversation():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetConversationRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_conversation(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetConversationRequest, dict] The request object. The request to get a conversation.
name	str Required. The name of the conversation to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.Conversation	The conversation resource.

get_issue

get_issue(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetIssueRequest, 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 an issue.

from google.cloud import contact_center_insights_v1

def sample_get_issue():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetIssueRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_issue(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetIssueRequest, dict] The request object. The request to get an issue.
name	str Required. The name of the issue to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.Issue	The issue resource.

get_issue_model

get_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetIssueModelRequest, 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 an issue model.

from google.cloud import contact_center_insights_v1

def sample_get_issue_model():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetIssueModelRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_issue_model(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetIssueModelRequest, dict] The request object. The request to get an issue model.
name	str Required. The name of the issue model to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.IssueModel	The issue model resource.

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 api_endpoint and client_cert_source properties may be used in this method.

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_phrase_matcher

get_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetPhraseMatcherRequest, 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 phrase matcher.

from google.cloud import contact_center_insights_v1

def sample_get_phrase_matcher():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetPhraseMatcherRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_phrase_matcher(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetPhraseMatcherRequest, dict] The request object. The request to get a a phrase matcher.
name	str Required. The name of the phrase matcher to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.PhraseMatcher	The phrase matcher resource.

get_settings

get_settings(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetSettingsRequest, 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 project-level settings.

from google.cloud import contact_center_insights_v1

def sample_get_settings():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetSettingsRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_settings(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetSettingsRequest, dict] The request object. The request to get project-level settings.
name	str Required. The name of the settings resource to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.Settings	The settings resource.

get_view

get_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetViewRequest, 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 view.

from google.cloud import contact_center_insights_v1

def sample_get_view():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.GetViewRequest(
        name="name_value",
    )

    # Make the request
    response = client.get_view(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetViewRequest, dict] The request object. The request to get a view.
name	str Required. The name of the view to get. 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
Type	Description
google.cloud.contact_center_insights_v1.types.View	The View resource.

issue_model_path

issue_model_path(project: str, location: str, issue_model: str)

Returns a fully-qualified issue_model string.

issue_path

issue_path(project: str, location: str, issue_model: str, issue: str)

Returns a fully-qualified issue string.

list_analyses

list_analyses(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesRequest, 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]] = ())

Lists analyses.

from google.cloud import contact_center_insights_v1

def sample_list_analyses():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.ListAnalysesRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListAnalysesRequest, dict] The request object. The request to list analyses.
parent	str Required. The parent resource of the analyses. 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
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesPager	The response to list analyses. Iterating over this object will yield results and resolve additional pages automatically.

list_conversations

list_conversations(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsRequest, 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]] = ())

Lists conversations.

from google.cloud import contact_center_insights_v1

def sample_list_conversations():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.ListConversationsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListConversationsRequest, dict] The request object. Request to list conversations.
parent	str Required. The parent resource of the conversation. 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
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsPager	The response of listing conversations. Iterating over this object will yield results and resolve additional pages automatically.

list_issue_models

list_issue_models(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssueModelsRequest, 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]] = ())

Lists issue models.

from google.cloud import contact_center_insights_v1

def sample_list_issue_models():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.ListIssueModelsRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.list_issue_models(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListIssueModelsRequest, dict] The request object. Request to list issue models.
parent	str Required. The parent resource of the issue model. 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
Type	Description
google.cloud.contact_center_insights_v1.types.ListIssueModelsResponse	The response of listing issue models.

list_issues

list_issues(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssuesRequest, 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]] = ())

Lists issues.

from google.cloud import contact_center_insights_v1

def sample_list_issues():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.ListIssuesRequest(
        parent="parent_value",
    )

    # Make the request
    response = client.list_issues(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListIssuesRequest, dict] The request object. Request to list issues.
parent	str Required. The parent resource of the issue. 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
Type	Description
google.cloud.contact_center_insights_v1.types.ListIssuesResponse	The response of listing issues.

list_phrase_matchers

list_phrase_matchers(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersRequest, 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]] = ())

Lists phrase matchers.

from google.cloud import contact_center_insights_v1

def sample_list_phrase_matchers():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.ListPhraseMatchersRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListPhraseMatchersRequest, dict] The request object. Request to list phrase matchers.
parent	str Required. The parent resource of the phrase matcher. 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
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersPager	The response of listing phrase matchers. Iterating over this object will yield results and resolve additional pages automatically.

list_views

list_views(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsRequest, 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]] = ())

Lists views.

from google.cloud import contact_center_insights_v1

def sample_list_views():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.ListViewsRequest(
        parent="parent_value",
    )

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

    # Handle the response
    for response in page_result:
        print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListViewsRequest, dict] The request object. The request to list views.
parent	str Required. The parent resource of the views. 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
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsPager	The response of listing views. Iterating over this object will yield results and resolve additional pages automatically.

parse_analysis_path

parse_analysis_path(path: str)

Parses a analysis 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_conversation_path

parse_conversation_path(path: str)

Parses a conversation path into its component segments.

parse_issue_model_path

parse_issue_model_path(path: str)

Parses a issue_model path into its component segments.

parse_issue_path

parse_issue_path(path: str)

Parses a issue path into its component segments.

parse_participant_path

parse_participant_path(path: str)

Parses a participant path into its component segments.

parse_phrase_matcher_path

parse_phrase_matcher_path(path: str)

Parses a phrase_matcher path into its component segments.

parse_settings_path

parse_settings_path(path: str)

Parses a settings path into its component segments.

parse_view_path

parse_view_path(path: str)

Parses a view path into its component segments.

participant_path

participant_path(project: str, conversation: str, participant: str)

Returns a fully-qualified participant string.

phrase_matcher_path

phrase_matcher_path(project: str, location: str, phrase_matcher: str)

Returns a fully-qualified phrase_matcher string.

settings_path

settings_path(project: str, location: str)

Returns a fully-qualified settings string.

undeploy_issue_model

undeploy_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UndeployIssueModelRequest, 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]] = ())

Undeploys an issue model. An issue model can not be used in analysis after it has been undeployed.

from google.cloud import contact_center_insights_v1

def sample_undeploy_issue_model():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.UndeployIssueModelRequest(
        name="name_value",
    )

    # Make the request
    operation = client.undeploy_issue_model(request=request)

    print("Waiting for operation to complete...")

    response = operation.result()

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UndeployIssueModelRequest, dict] The request object. The request to undeploy an issue model.
name	str Required. The issue model to undeploy. 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
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be UndeployIssueModelResponse The response to undeploy an issue model.

update_conversation

update_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateConversationRequest, dict]] = None, *, conversation: Optional[google.cloud.contact_center_insights_v1.types.resources.Conversation] = 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 a conversation.

from google.cloud import contact_center_insights_v1

def sample_update_conversation():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.UpdateConversationRequest(
    )

    # Make the request
    response = client.update_conversation(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateConversationRequest, dict] The request object. The request to update a conversation.
conversation	google.cloud.contact_center_insights_v1.types.Conversation Required. The new values for the conversation. This corresponds to the conversation field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask The list of fields to be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.Conversation	The conversation resource.

update_issue

update_issue(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateIssueRequest, dict]] = None, *, issue: Optional[google.cloud.contact_center_insights_v1.types.resources.Issue] = 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 an issue.

from google.cloud import contact_center_insights_v1

def sample_update_issue():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.UpdateIssueRequest(
    )

    # Make the request
    response = client.update_issue(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateIssueRequest, dict] The request object. The request to update an issue.
issue	google.cloud.contact_center_insights_v1.types.Issue Required. The new values for the issue. This corresponds to the issue field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask The list of fields to be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.Issue	The issue resource.

update_issue_model

update_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateIssueModelRequest, dict]] = None, *, issue_model: Optional[google.cloud.contact_center_insights_v1.types.resources.IssueModel] = 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 an issue model.

from google.cloud import contact_center_insights_v1

def sample_update_issue_model():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.UpdateIssueModelRequest(
    )

    # Make the request
    response = client.update_issue_model(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateIssueModelRequest, dict] The request object. The request to update an issue model.
issue_model	google.cloud.contact_center_insights_v1.types.IssueModel Required. The new values for the issue model. This corresponds to the issue_model field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask The list of fields to be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.IssueModel	The issue model resource.

update_phrase_matcher

update_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdatePhraseMatcherRequest, dict]] = None, *, phrase_matcher: Optional[google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher] = 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 a phrase matcher.

from google.cloud import contact_center_insights_v1

def sample_update_phrase_matcher():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    phrase_matcher = contact_center_insights_v1.PhraseMatcher()
    phrase_matcher.type_ = "ANY_OF"

    request = contact_center_insights_v1.UpdatePhraseMatcherRequest(
        phrase_matcher=phrase_matcher,
    )

    # Make the request
    response = client.update_phrase_matcher(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdatePhraseMatcherRequest, dict] The request object. The request to update a phrase matcher.
phrase_matcher	google.cloud.contact_center_insights_v1.types.PhraseMatcher Required. The new values for the phrase matcher. This corresponds to the phrase_matcher field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask The list of fields to be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.PhraseMatcher	The phrase matcher resource.

update_settings

update_settings(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateSettingsRequest, dict]] = None, *, settings: Optional[google.cloud.contact_center_insights_v1.types.resources.Settings] = 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 project-level settings.

from google.cloud import contact_center_insights_v1

def sample_update_settings():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.UpdateSettingsRequest(
    )

    # Make the request
    response = client.update_settings(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateSettingsRequest, dict] The request object. The request to update project-level settings.
settings	google.cloud.contact_center_insights_v1.types.Settings Required. The new settings values. This corresponds to the settings field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Required. The list of fields to be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.Settings	The settings resource.

update_view

update_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateViewRequest, dict]] = None, *, view: Optional[google.cloud.contact_center_insights_v1.types.resources.View] = 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 a view.

from google.cloud import contact_center_insights_v1

def sample_update_view():
    # Create a client
    client = contact_center_insights_v1.ContactCenterInsightsClient()

    # Initialize request argument(s)
    request = contact_center_insights_v1.UpdateViewRequest(
    )

    # Make the request
    response = client.update_view(request=request)

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateViewRequest, dict] The request object. The request to update a view.
view	google.cloud.contact_center_insights_v1.types.View Required. The new view. This corresponds to the view field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask The list of fields to be updated. This corresponds to the update_mask field on the request instance; if request is provided, this should not be set.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, str]] Strings which should be sent along with the request as metadata.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.View	The View resource.

view_path

view_path(project: str, location: str, view: str)

Returns a fully-qualified view string.