Class ContactCenterInsightsClient (1.22.0)

Version latest

• 1.22.0 (latest)
• 1.21.0
• 1.20.0
• 1.19.1
• 1.18.0
• 1.17.5
• 1.16.0
• 1.15.0
• 1.14.1
• 1.13.0
• 1.12.0
• 1.11.1
• 1.10.0
• 1.9.1
• 1.8.0
• 1.7.0
• 1.6.1
• 1.5.0
• 1.4.5
• 1.3.2
• 1.2.1
• 1.1.0
• 1.0.0
• 0.6.1
• 0.5.0
• 0.4.0
• 0.3.1
• 0.2.0
• 0.1.1

ContactCenterInsightsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport, typing.Callable[[...], google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = 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

api_endpoint

Return the API endpoint used by the client instance.

Returns
Type	Description
str	The API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

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

universe_domain

Return the universe domain used by the client instance.

Returns
Type	Description
str	The universe domain used by the client instance.

Methods

ContactCenterInsightsClient

ContactCenterInsightsClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Optional[typing.Union[str, google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport, typing.Callable[[...], google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport]]] = None, client_options: typing.Optional[typing.Union[google.api_core.client_options.ClientOptions, dict]] = 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	Optional[Union[str,ContactCenterInsightsTransport,Callable[..., ContactCenterInsightsTransport]]] The transport to use, or a Callable that constructs and returns a new transport. If a Callable is given, it will be called with the same set of initialization arguments as used in the ContactCenterInsightsTransport constructor. If set to None, a transport is chosen automatically.
client_options	Optional[Union[google.api_core.client_options.ClientOptions, dict]] Custom options for the client. 1. The api_endpoint property can be used to override the default endpoint provided by the client when transport is not explicitly provided. Only if this property is not set and transport was not explicitly provided, the endpoint is determined by the GOOGLE_API_USE_MTLS_ENDPOINT environment variable, which have one of the following values: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto-switch to the default mTLS endpoint if client certificate is present; this is the default value). 2. If the GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the client_cert_source property can be used to provide a client certificate for mTLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used. 3. The universe_domain property can be used to override the default "googleapis.com" universe. Note that the api_endpoint property still takes precedence; and universe_domain is currently not supported for mTLS.
client_info	google.api_core.gapic_v1.client_info.ClientInfo The client info used to send a user-agent string along with API requests. If None, then default info will be used. Generally, you only need to set this if you're developing your own client library.

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) -> str

Returns a fully-qualified analysis string.

analysis_rule_path

analysis_rule_path(project: str, location: str, analysis_rule: str) -> str

Returns a fully-qualified analysis_rule string.

bulk_analyze_conversations

bulk_analyze_conversations(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkAnalyzeConversationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    analysis_percentage: typing.Optional[float] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Analyzes multiple conversations in a single request.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    request = contact_center_insights_v1.BulkAnalyzeConversationsRequest(
        parent="parent_value",
        filter="filter_value",
        analysis_percentage=0.20170000000000002,
    )

    # Make the request
    operation = client.bulk_analyze_conversations(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.BulkAnalyzeConversationsRequest, dict] The request object. The request to analyze conversations in bulk.
parent	str Required. The parent resource to create analyses in. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
filter	str Required. Filter used to select the subset of conversations to analyze. This corresponds to the filter field on the request instance; if request is provided, this should not be set.
analysis_percentage	float Required. Percentage of selected conversation to analyze, between [0, 100]. This corresponds to the analysis_percentage 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be BulkAnalyzeConversationsResponse The response for a bulk analyze conversations operation.

bulk_delete_conversations

bulk_delete_conversations(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkDeleteConversationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Deletes multiple conversations in a single request.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

    # Make the request
    operation = client.bulk_delete_conversations(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.BulkDeleteConversationsRequest, dict] The request object. The request to delete conversations in bulk.
parent	str Required. The parent resource to delete conversations from. Format: projects/{project}/locations/{location} This corresponds to the parent field on the request instance; if request is provided, this should not be set.
filter	str Filter used to select the subset of conversations to delete. This corresponds to the filter 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be BulkDeleteConversationsResponse The response for a bulk delete conversations operation.

bulk_download_feedback_labels

bulk_download_feedback_labels(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkDownloadFeedbackLabelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Download feedback labels in bulk.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    gcs_destination = contact_center_insights_v1.GcsDestination()
    gcs_destination.format_ = "JSON"
    gcs_destination.object_uri = "object_uri_value"

    request = contact_center_insights_v1.BulkDownloadFeedbackLabelsRequest(
        gcs_destination=gcs_destination,
        parent="parent_value",
    )

    # Make the request
    operation = client.bulk_download_feedback_labels(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.BulkDownloadFeedbackLabelsRequest, dict] The request object. Request for the BulkDownloadFeedbackLabel endpoint.
parent	str Required. The parent resource for new feedback labels. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be BulkDownloadFeedbackLabelsResponse Response for the BulkDownloadFeedbackLabel endpoint.

bulk_upload_feedback_labels

bulk_upload_feedback_labels(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkUploadFeedbackLabelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Upload feedback labels in bulk.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    gcs_source = contact_center_insights_v1.GcsSource()
    gcs_source.format_ = "JSON"
    gcs_source.object_uri = "object_uri_value"

    request = contact_center_insights_v1.BulkUploadFeedbackLabelsRequest(
        gcs_source=gcs_source,
        parent="parent_value",
    )

    # Make the request
    operation = client.bulk_upload_feedback_labels(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.BulkUploadFeedbackLabelsRequest, dict] The request object. The request for bulk uploading feedback labels.
parent	str Required. The parent resource for new feedback labels. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be BulkUploadFeedbackLabelsResponse Response for the Bulk Upload Feedback Labels API.

calculate_issue_model_stats

calculate_issue_model_stats(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateIssueModelStatsRequest,
            dict,
        ]
    ] = None,
    *,
    issue_model: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateIssueModelStatsResponse
)

Gets an issue model's statistics.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsResponse	Response of querying an issue model's statistics.

calculate_stats

calculate_stats(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateStatsRequest,
            dict,
        ]
    ] = None,
    *,
    location: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateStatsResponse
)

Gets conversation statistics.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.CalculateStatsResponse	The response for calculating conversation statistics.

cancel_operation

cancel_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.CancelOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Starts asynchronous cancellation on a long-running operation.

The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns google.rpc.Code.UNIMPLEMENTED.

Parameters
Name	Description
request	.operations_pb2.CancelOperationRequest The request object. Request message for CancelOperation method.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str) -> str

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

conversation_path

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

Returns a fully-qualified conversation string.

conversation_profile_path

conversation_profile_path(
    project: str, location: str, conversation_profile: str
) -> str

Returns a fully-qualified conversation_profile string.

create_analysis

create_analysis(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateAnalysisRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    analysis: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.Analysis
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Creates an analysis. The long running operation is done when the analysis has completed.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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_analysis_rule

create_analysis_rule(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateAnalysisRuleRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    analysis_rule: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.AnalysisRule
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.AnalysisRule

Creates a analysis rule.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateAnalysisRuleRequest, dict] The request object. The request to create a analysis rule. analysis_rule_id will be generated by the server.
parent	str Required. The parent resource of the analysis rule. Required. The location to create a analysis rule for. Format: projects/ or projects/ This corresponds to the parent field on the request instance; if request is provided, this should not be set.
analysis_rule	google.cloud.contact_center_insights_v1.types.AnalysisRule Required. The analysis rule resource to create. This corresponds to the analysis_rule 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.AnalysisRule	The CCAI Insights project wide analysis rule. This rule will be applied to all conversations that match the filter defined in the rule. For a conversation matches the filter, the annotators specified in the rule will be run. If a conversation matches multiple rules, a union of all the annotators will be run. One project can have multiple analysis rules.

create_conversation

create_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateConversationRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    conversation: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.Conversation
    ] = None,
    conversation_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Conversation

Creates a conversation. Note that this method does not support audio transcription or redaction. Use conversations.upload instead.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

create_feedback_label

create_feedback_label(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateFeedbackLabelRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    feedback_label: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel
    ] = None,
    feedback_label_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel

Create feedback label.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    feedback_label = contact_center_insights_v1.FeedbackLabel()
    feedback_label.label = "label_value"

    request = contact_center_insights_v1.CreateFeedbackLabelRequest(
        parent="parent_value",
        feedback_label=feedback_label,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateFeedbackLabelRequest, dict] The request object. The request for creating a feedback label.
parent	str Required. The parent resource of the feedback label. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
feedback_label	google.cloud.contact_center_insights_v1.types.FeedbackLabel Required. The feedback label to create. This corresponds to the feedback_label field on the request instance; if request is provided, this should not be set.
feedback_label_id	str Optional. The ID of the feedback label to create. If one is not specified it will be generated by the server. This corresponds to the feedback_label_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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.FeedbackLabel	Represents a conversation, resource, and label provided by the user.

create_issue_model

create_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    issue_model: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.IssueModel
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Creates an issue model.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreatePhraseMatcherRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    phrase_matcher: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher

Creates a phrase matcher.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

create_qa_question

create_qa_question(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateQaQuestionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    qa_question: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.QaQuestion
    ] = None,
    qa_question_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaQuestion

Create a QaQuestion.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateQaQuestionRequest, dict] The request object. The request for creating a QaQuestion.
parent	str Required. The parent resource of the QaQuestion. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
qa_question	google.cloud.contact_center_insights_v1.types.QaQuestion Required. The QaQuestion to create. This corresponds to the qa_question field on the request instance; if request is provided, this should not be set.
qa_question_id	str Optional. A unique ID for the new question. This ID will become the final component of the question'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 qa_question_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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaQuestion	A single question to be scored by the Insights QA feature.

create_qa_scorecard

create_qa_scorecard(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateQaScorecardRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    qa_scorecard: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.QaScorecard
    ] = None,
    qa_scorecard_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecard

Create a QaScorecard.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateQaScorecardRequest, dict] The request object. The request for creating a QaScorecard.
parent	str Required. The parent resource of the QaScorecard. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
qa_scorecard	google.cloud.contact_center_insights_v1.types.QaScorecard Required. The QaScorecard to create. This corresponds to the qa_scorecard field on the request instance; if request is provided, this should not be set.
qa_scorecard_id	str Optional. A unique ID for the new QaScorecard. This ID will become the final component of the QaScorecard'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 qa_scorecard_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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecard	A QaScorecard represents a collection of questions to be scored during analysis.

create_qa_scorecard_revision

create_qa_scorecard_revision(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateQaScorecardRevisionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    qa_scorecard_revision: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision
    ] = None,
    qa_scorecard_revision_id: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision

Creates a QaScorecardRevision.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.CreateQaScorecardRevisionRequest, dict] The request object. The request for creating a QaScorecardRevision.
parent	str Required. The parent resource of the QaScorecardRevision. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
qa_scorecard_revision	google.cloud.contact_center_insights_v1.types.QaScorecardRevision Required. The QaScorecardRevision to create. This corresponds to the qa_scorecard_revision field on the request instance; if request is provided, this should not be set.
qa_scorecard_revision_id	str Optional. A unique ID for the new QaScorecardRevision. This ID will become the final component of the QaScorecardRevision'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 qa_scorecard_revision_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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecardRevision	A revision of a QaScorecard. Modifying published scorecard fields would invalidate existing scorecard results — the questions may have changed, or the score weighting will make existing scores impossible to understand. So changes must create a new revision, rather than modifying the existing resource.

create_view

create_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateViewRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    view: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.View
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.View

Creates a view.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

delete_analysis

delete_analysis(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteAnalysisRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes an analysis.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_analysis_rule

delete_analysis_rule(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteAnalysisRuleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a analysis rule.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteAnalysisRuleRequest, dict] The request object. The request to delete a analysis rule.
name	str Required. The name of the analysis rule 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_conversation

delete_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteConversationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a conversation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_feedback_label

delete_feedback_label(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteFeedbackLabelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Delete feedback label.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteFeedbackLabelRequest, dict] The request object. The request for deleting a feedback label.
name	str Required. The name of the feedback label 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_issue

delete_issue(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteIssueRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes an issue.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteIssueRequest, dict] The request object. The request to delete an issue.
name	str Required. The name of the issue 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_issue_model

delete_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Deletes an issue model.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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); }

delete_phrase_matcher

delete_phrase_matcher(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeletePhraseMatcherRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a phrase matcher.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_qa_question

delete_qa_question(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteQaQuestionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a QaQuestion.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteQaQuestionRequest, dict] The request object. The request for deleting a QaQuestion.
name	str Required. The name of the QaQuestion 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_qa_scorecard

delete_qa_scorecard(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteQaScorecardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a QaScorecard.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteQaScorecardRequest, dict] The request object. The request for deleting a QaScorecard.
name	str Required. The name of the QaScorecard 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_qa_scorecard_revision

delete_qa_scorecard_revision(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteQaScorecardRevisionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a QaScorecardRevision.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeleteQaScorecardRevisionRequest, dict] The request object. The request to delete a QaScorecardRevision.
name	str Required. The name of the QaScorecardRevision 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

delete_view

delete_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> None

Deletes a view.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

deploy_issue_model

deploy_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeployIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

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.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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.

deploy_qa_scorecard_revision

deploy_qa_scorecard_revision(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.DeployQaScorecardRevisionRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision

Deploy a QaScorecardRevision.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.DeployQaScorecardRevisionRequest, dict] The request object. The request to deploy a QaScorecardRevision
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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecardRevision	A revision of a QaScorecard. Modifying published scorecard fields would invalidate existing scorecard results — the questions may have changed, or the score weighting will make existing scores impossible to understand. So changes must create a new revision, rather than modifying the existing resource.

encryption_spec_path

encryption_spec_path(project: str, location: str) -> str

Returns a fully-qualified encryption_spec string.

export_insights_data

export_insights_data(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ExportInsightsDataRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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.

export_issue_model

export_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ExportIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Exports an issue model to the provided destination.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    gcs_destination = contact_center_insights_v1.GcsDestination()
    gcs_destination.object_uri = "object_uri_value"

    request = contact_center_insights_v1.ExportIssueModelRequest(
        gcs_destination=gcs_destination,
        name="name_value",
    )

    # Make the request
    operation = client.export_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.ExportIssueModelRequest, dict] The request object. Request to export an issue model.
name	str Required. The issue model to export. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be ExportIssueModelResponse Response from export issue model

feedback_label_path

feedback_label_path(
    project: str, location: str, conversation: str, feedback_label: str
) -> str

Returns a fully-qualified feedback_label 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
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: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetAnalysisRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Analysis

Gets an analysis.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.Analysis	The analysis resource.

get_analysis_rule

get_analysis_rule(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetAnalysisRuleRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.AnalysisRule

Get a analysis rule.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetAnalysisRuleRequest, dict] The request object. The request for getting a analysis rule.
name	str Required. The name of the AnalysisRule 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.AnalysisRule	The CCAI Insights project wide analysis rule. This rule will be applied to all conversations that match the filter defined in the rule. For a conversation matches the filter, the annotators specified in the rule will be run. If a conversation matches multiple rules, a union of all the annotators will be run. One project can have multiple analysis rules.

get_conversation

get_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetConversationRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Conversation

Gets a conversation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

get_encryption_spec

get_encryption_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetEncryptionSpecRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.EncryptionSpec

Gets location-level encryption key specification.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetEncryptionSpecRequest, dict] The request object. The request to get location-level encryption specification.
name	str Required. The name of the encryption spec 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.EncryptionSpec	A customer-managed encryption key specification that can be applied to all created resources (e.g. Conversation).

get_feedback_label

get_feedback_label(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetFeedbackLabelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel

Get feedback label.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetFeedbackLabelRequest, dict] The request object. The request for getting a feedback label.
name	str Required. The name of the feedback label 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.FeedbackLabel	Represents a conversation, resource, and label provided by the user.

get_issue

get_issue(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetIssueRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Issue

Gets an issue.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

get_issue_model

get_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.IssueModel

Gets an issue model.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

Deprecated. Return the API endpoint and client cert source for mutual TLS.

The client cert source is determined in the following order: (1) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is not "true", the client cert source is None. (2) if client_options.client_cert_source is provided, use the provided one; if the default client cert source exists, use the default one; otherwise the client cert source is None.

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment variable is "never", use the default API endpoint; otherwise if client cert source exists, use the default mTLS endpoint, otherwise use the default API endpoint.

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

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_operation

get_operation(
    request: typing.Optional[
        google.longrunning.operations_pb2.GetOperationRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.Operation

Gets the latest state of a long-running operation.

Parameters
Name	Description
request	.operations_pb2.GetOperationRequest The request object. Request message for GetOperation method.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
.operations_pb2.Operation	An Operation object.

get_phrase_matcher

get_phrase_matcher(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetPhraseMatcherRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher

Gets a phrase matcher.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

get_qa_question

get_qa_question(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetQaQuestionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaQuestion

Gets a QaQuestion.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetQaQuestionRequest, dict] The request object. The request for a QaQuestion.
name	str Required. The name of the QaQuestion 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaQuestion	A single question to be scored by the Insights QA feature.

get_qa_scorecard

get_qa_scorecard(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetQaScorecardRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecard

Gets a QaScorecard.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetQaScorecardRequest, dict] The request object. The request for a QaScorecard. By default, returns the latest revision.
name	str Required. The name of the QaScorecard 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecard	A QaScorecard represents a collection of questions to be scored during analysis.

get_qa_scorecard_revision

get_qa_scorecard_revision(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetQaScorecardRevisionRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision

Gets a QaScorecardRevision.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.GetQaScorecardRevisionRequest, dict] The request object. The request for a QaScorecardRevision.
name	str Required. The name of the QaScorecardRevision 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecardRevision	A revision of a QaScorecard. Modifying published scorecard fields would invalidate existing scorecard results — the questions may have changed, or the score weighting will make existing scores impossible to understand. So changes must create a new revision, rather than modifying the existing resource.

get_settings

get_settings(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetSettingsRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Settings

Gets project-level settings.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.Settings	The CCAI Insights project wide settings. Use these settings to configure the behavior of Insights. View these settings with [getsettings](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/getSettings) and change the settings with [updateSettings](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/updateSettings).

get_view

get_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.GetViewRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.View

Gets a view.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

import_issue_model

import_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ImportIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Imports an issue model from a Cloud Storage bucket.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    gcs_source = contact_center_insights_v1.GcsSource()
    gcs_source.object_uri = "object_uri_value"

    request = contact_center_insights_v1.ImportIssueModelRequest(
        gcs_source=gcs_source,
        parent="parent_value",
    )

    # Make the request
    operation = client.import_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.ImportIssueModelRequest, dict] The request object. Request to import 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.
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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be ImportIssueModelResponse Response from import issue model

ingest_conversations

ingest_conversations(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.IngestConversationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Imports conversations and processes them according to the user's configuration.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    gcs_source = contact_center_insights_v1.GcsSource()
    gcs_source.bucket_uri = "bucket_uri_value"

    transcript_object_config = contact_center_insights_v1.TranscriptObjectConfig()
    transcript_object_config.medium = "CHAT"

    request = contact_center_insights_v1.IngestConversationsRequest(
        gcs_source=gcs_source,
        transcript_object_config=transcript_object_config,
        parent="parent_value",
    )

    # Make the request
    operation = client.ingest_conversations(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.IngestConversationsRequest, dict] The request object. The request to ingest conversations.
parent	str Required. The parent resource for new conversations. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be IngestConversationsResponse The response to an IngestConversations operation.

initialize_encryption_spec

initialize_encryption_spec(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.InitializeEncryptionSpecRequest,
            dict,
        ]
    ] = None,
    *,
    encryption_spec: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.EncryptionSpec
    ] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Initializes a location-level encryption key specification. An error will result if the location has resources already created before the initialization. After the encryption specification is initialized at a location, it is immutable and all newly created resources under the location will be encrypted with the existing specification.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    encryption_spec = contact_center_insights_v1.EncryptionSpec()
    encryption_spec.kms_key = "kms_key_value"

    request = contact_center_insights_v1.InitializeEncryptionSpecRequest(
        encryption_spec=encryption_spec,
    )

    # Make the request
    operation = client.initialize_encryption_spec(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.InitializeEncryptionSpecRequest, dict] The request object. The request to initialize a location-level encryption specification.
encryption_spec	google.cloud.contact_center_insights_v1.types.EncryptionSpec Required. The encryption spec used for CMEK encryption. It is required that the kms key is in the same region as the endpoint. The same key will be used for all provisioned resources, if encryption is available. If the kms_key_name field is left empty, no encryption will be enforced. This corresponds to the encryption_spec 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be InitializeEncryptionSpecResponse The response to initialize a location-level encryption specification.

issue_model_path

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

Returns a fully-qualified issue_model string.

issue_path

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

Returns a fully-qualified issue string.

list_all_feedback_labels

list_all_feedback_labels(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsPager
)

List all feedback labels by project number.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListAllFeedbackLabelsRequest, dict] The request object. The request for listing all feedback labels.
parent	str Required. The parent resource of all feedback labels per project. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsPager	The response for listing all feedback labels. Iterating over this object will yield results and resolve additional pages automatically.

list_analyses

list_analyses(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesPager
)

Lists analyses.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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_analysis_rules

list_analysis_rules(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesPager
)

Lists analysis rules.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListAnalysisRulesRequest, dict] The request object. The request to list analysis rules.
parent	str Required. The parent resource of the analysis rules. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesPager	The response of listing views. Iterating over this object will yield results and resolve additional pages automatically.

list_conversations

list_conversations(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsPager
)

Lists conversations.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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_feedback_labels

list_feedback_labels(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsPager
)

List feedback labels.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListFeedbackLabelsRequest, dict] The request object. The request for listing feedback labels.
parent	str Required. The parent resource of the feedback labels. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsPager	The response for listing feedback labels. Iterating over this object will yield results and resolve additional pages automatically.

list_issue_models

list_issue_models(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssueModelsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssueModelsResponse
)

Lists issue models.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.ListIssueModelsResponse	The response of listing issue models.

list_issues

list_issues(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssuesRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssuesResponse
)

Lists issues.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.ListIssuesResponse	The response of listing issues.

list_operations

list_operations(
    request: typing.Optional[
        google.longrunning.operations_pb2.ListOperationsRequest
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.longrunning.operations_pb2.ListOperationsResponse

Lists operations that match the specified filter in the request.

Parameters
Name	Description
request	.operations_pb2.ListOperationsRequest The request object. Request message for ListOperations method.
retry	google.api_core.retry.Retry Designation of what errors, if any, should be retried.
timeout	float The timeout for this request.
metadata	Sequence[Tuple[str, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
.operations_pb2.ListOperationsResponse	Response message for ListOperations method.

list_phrase_matchers

list_phrase_matchers(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersPager
)

Lists phrase matchers.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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_qa_questions

list_qa_questions(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsPager
)

Lists QaQuestions.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListQaQuestionsRequest, dict] The request object. Request to list QaQuestions.
parent	str Required. The parent resource of the questions. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsPager	The response from a ListQaQuestions request. Iterating over this object will yield results and resolve additional pages automatically.

list_qa_scorecard_revisions

list_qa_scorecard_revisions(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsPager
)

Lists all revisions under the parent QaScorecard.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListQaScorecardRevisionsRequest, dict] The request object. Request to list QaScorecardRevisions
parent	str Required. The parent resource of the scorecard revisions. To list all revisions of all scorecards, substitute the QaScorecard ID with a '-' character. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsPager	The response from a ListQaScorecardRevisions request. Iterating over this object will yield results and resolve additional pages automatically.

list_qa_scorecards

list_qa_scorecards(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsPager
)

Lists QaScorecards.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

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

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.ListQaScorecardsRequest, dict] The request object. Request to list QaScorecards.
parent	str Required. The parent resource of the scorecards. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsPager	The response from a ListQaScorecards request. Iterating over this object will yield results and resolve additional pages automatically.

list_views

list_views(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> (
    google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsPager
)

Lists views.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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) -> typing.Dict[str, str]

Parses a analysis path into its component segments.

parse_analysis_rule_path

parse_analysis_rule_path(path: str) -> typing.Dict[str, str]

Parses a analysis_rule path into its component segments.

parse_common_billing_account_path

parse_common_billing_account_path(path: str) -> typing.Dict[str, str]

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str) -> typing.Dict[str, str]

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str) -> typing.Dict[str, str]

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str) -> typing.Dict[str, str]

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str) -> typing.Dict[str, str]

Parse a project path into its component segments.

parse_conversation_path

parse_conversation_path(path: str) -> typing.Dict[str, str]

Parses a conversation path into its component segments.

parse_conversation_profile_path

parse_conversation_profile_path(path: str) -> typing.Dict[str, str]

Parses a conversation_profile path into its component segments.

parse_encryption_spec_path

parse_encryption_spec_path(path: str) -> typing.Dict[str, str]

Parses a encryption_spec path into its component segments.

parse_feedback_label_path

parse_feedback_label_path(path: str) -> typing.Dict[str, str]

Parses a feedback_label path into its component segments.

parse_issue_model_path

parse_issue_model_path(path: str) -> typing.Dict[str, str]

Parses a issue_model path into its component segments.

parse_issue_path

parse_issue_path(path: str) -> typing.Dict[str, str]

Parses a issue path into its component segments.

parse_participant_path

parse_participant_path(path: str) -> typing.Dict[str, str]

Parses a participant path into its component segments.

parse_phrase_matcher_path

parse_phrase_matcher_path(path: str) -> typing.Dict[str, str]

Parses a phrase_matcher path into its component segments.

parse_qa_question_path

parse_qa_question_path(path: str) -> typing.Dict[str, str]

Parses a qa_question path into its component segments.

parse_qa_scorecard_path

parse_qa_scorecard_path(path: str) -> typing.Dict[str, str]

Parses a qa_scorecard path into its component segments.

parse_qa_scorecard_result_path

parse_qa_scorecard_result_path(path: str) -> typing.Dict[str, str]

Parses a qa_scorecard_result path into its component segments.

parse_qa_scorecard_revision_path

parse_qa_scorecard_revision_path(path: str) -> typing.Dict[str, str]

Parses a qa_scorecard_revision path into its component segments.

parse_recognizer_path

parse_recognizer_path(path: str) -> typing.Dict[str, str]

Parses a recognizer path into its component segments.

parse_settings_path

parse_settings_path(path: str) -> typing.Dict[str, str]

Parses a settings path into its component segments.

parse_view_path

parse_view_path(path: str) -> typing.Dict[str, str]

Parses a view path into its component segments.

participant_path

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

Returns a fully-qualified participant string.

phrase_matcher_path

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

Returns a fully-qualified phrase_matcher string.

qa_question_path

qa_question_path(
    project: str, location: str, qa_scorecard: str, revision: str, qa_question: str
) -> str

Returns a fully-qualified qa_question string.

qa_scorecard_path

qa_scorecard_path(project: str, location: str, qa_scorecard: str) -> str

Returns a fully-qualified qa_scorecard string.

qa_scorecard_result_path

qa_scorecard_result_path(
    project: str, location: str, qa_scorecard_result: str
) -> str

Returns a fully-qualified qa_scorecard_result string.

qa_scorecard_revision_path

qa_scorecard_revision_path(
    project: str, location: str, qa_scorecard: str, revision: str
) -> str

Returns a fully-qualified qa_scorecard_revision string.

query_metrics

query_metrics(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.QueryMetricsRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Query metrics.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    request = contact_center_insights_v1.QueryMetricsRequest(
        location="location_value",
        filter="filter_value",
    )

    # Make the request
    operation = client.query_metrics(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.QueryMetricsRequest, dict] The request object. The request for querying metrics.
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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be QueryMetricsResponse The response for querying metrics.

recognizer_path

recognizer_path(project: str, location: str, recognizer: str) -> str

Returns a fully-qualified recognizer string.

settings_path

settings_path(project: str, location: str) -> str

Returns a fully-qualified settings string.

tune_qa_scorecard_revision

tune_qa_scorecard_revision(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.TuneQaScorecardRevisionRequest,
            dict,
        ]
    ] = None,
    *,
    parent: typing.Optional[str] = None,
    filter: typing.Optional[str] = None,
    validate_only: typing.Optional[bool] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Fine tune one or more QaModels.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    request = contact_center_insights_v1.TuneQaScorecardRevisionRequest(
        parent="parent_value",
        filter="filter_value",
    )

    # Make the request
    operation = client.tune_qa_scorecard_revision(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.TuneQaScorecardRevisionRequest, dict] The request object. Request for TuneQaScorecardRevision endpoint.
parent	str Required. The parent resource for new fine tuning job instance. This corresponds to the parent field on the request instance; if request is provided, this should not be set.
filter	str Required. Filter for selecting the feedback labels that needs to be used for training. This filter can be used to limit the feedback labels used for tuning to a feedback labels created or updated for a specific time-window etc. This corresponds to the filter field on the request instance; if request is provided, this should not be set.
validate_only	bool Optional. Run in validate only mode, no fine tuning will actually run. Data quality validations like training data distributions will run. Even when set to false, the data quality validations will still run but once the validations complete we will proceed with the fine tune, if applicable. This corresponds to the validate_only 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be TuneQaScorecardRevisionResponse Response for TuneQaScorecardRevision endpoint.

undeploy_issue_model

undeploy_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UndeployIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    name: typing.Optional[str] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

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

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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.

undeploy_qa_scorecard_revision

undeploy_qa_scorecard_revision(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UndeployQaScorecardRevisionRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision

Undeploy a QaScorecardRevision.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UndeployQaScorecardRevisionRequest, dict] The request object. The request to undeploy a QaScorecardRevision
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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecardRevision	A revision of a QaScorecard. Modifying published scorecard fields would invalidate existing scorecard results — the questions may have changed, or the score weighting will make existing scores impossible to understand. So changes must create a new revision, rather than modifying the existing resource.

update_analysis_rule

update_analysis_rule(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateAnalysisRuleRequest,
            dict,
        ]
    ] = None,
    *,
    analysis_rule: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.AnalysisRule
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.AnalysisRule

Updates a analysis rule.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateAnalysisRuleRequest, dict] The request object. The request to update a analysis rule.
analysis_rule	google.cloud.contact_center_insights_v1.types.AnalysisRule Required. The new analysis rule. This corresponds to the analysis_rule field on the request instance; if request is provided, this should not be set.
update_mask	google.protobuf.field_mask_pb2.FieldMask Optional. The list of fields to be updated. If the update_mask is not provided, the update will be applied to all fields. 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.AnalysisRule	The CCAI Insights project wide analysis rule. This rule will be applied to all conversations that match the filter defined in the rule. For a conversation matches the filter, the annotators specified in the rule will be run. If a conversation matches multiple rules, a union of all the annotators will be run. One project can have multiple analysis rules.

update_conversation

update_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateConversationRequest,
            dict,
        ]
    ] = None,
    *,
    conversation: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.Conversation
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Conversation

Updates a conversation.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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. All possible fields can be updated by passing *, or a subset of the following updateable fields can be provided: - agent_id - language_code - labels - metadata - quality_metadata - call_metadata - start_time - expire_time or ttl - data_source.gcs_source.audio_uri or data_source.dialogflow_source.audio_uri 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

update_feedback_label

update_feedback_label(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateFeedbackLabelRequest,
            dict,
        ]
    ] = None,
    *,
    feedback_label: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel

Update feedback label.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

    # Initialize request argument(s)
    feedback_label = contact_center_insights_v1.FeedbackLabel()
    feedback_label.label = "label_value"

    request = contact_center_insights_v1.UpdateFeedbackLabelRequest(
        feedback_label=feedback_label,
    )

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateFeedbackLabelRequest, dict] The request object. The request for updating a feedback label.
feedback_label	google.cloud.contact_center_insights_v1.types.FeedbackLabel Required. The feedback label to update. This corresponds to the feedback_label 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.FeedbackLabel	Represents a conversation, resource, and label provided by the user.

update_issue

update_issue(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateIssueRequest,
            dict,
        ]
    ] = None,
    *,
    issue: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.Issue
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Issue

Updates an issue.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

update_issue_model

update_issue_model(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateIssueModelRequest,
            dict,
        ]
    ] = None,
    *,
    issue_model: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.IssueModel
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.IssueModel

Updates an issue model.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

update_phrase_matcher

update_phrase_matcher(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdatePhraseMatcherRequest,
            dict,
        ]
    ] = None,
    *,
    phrase_matcher: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher

Updates a phrase matcher.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

update_qa_question

update_qa_question(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateQaQuestionRequest,
            dict,
        ]
    ] = None,
    *,
    qa_question: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.QaQuestion
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaQuestion

Updates a QaQuestion.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateQaQuestionRequest, dict] The request object. The request for updating a QaQuestion.
qa_question	google.cloud.contact_center_insights_v1.types.QaQuestion Required. The QaQuestion to update. This corresponds to the qa_question 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. All possible fields can be updated by passing *, or a subset of the following updateable fields can be provided: - abbreviation - answer_choices - answer_instructions - order - question_body - tags 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaQuestion	A single question to be scored by the Insights QA feature.

update_qa_scorecard

update_qa_scorecard(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateQaScorecardRequest,
            dict,
        ]
    ] = None,
    *,
    qa_scorecard: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.QaScorecard
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.QaScorecard

Updates a QaScorecard.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

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

    # Handle the response
    print(response)

Parameters
Name	Description
request	Union[google.cloud.contact_center_insights_v1.types.UpdateQaScorecardRequest, dict] The request object. The request for updating a QaScorecard.
qa_scorecard	google.cloud.contact_center_insights_v1.types.QaScorecard Required. The QaScorecard to update. This corresponds to the qa_scorecard 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. All possible fields can be updated by passing *, or a subset of the following updateable fields can be provided: - description - display_name 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.QaScorecard	A QaScorecard represents a collection of questions to be scored during analysis.

update_settings

update_settings(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateSettingsRequest,
            dict,
        ]
    ] = None,
    *,
    settings: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.Settings
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.Settings

Updates project-level settings.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.cloud.contact_center_insights_v1.types.Settings	The CCAI Insights project wide settings. Use these settings to configure the behavior of Insights. View these settings with [getsettings](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/getSettings) and change the settings with [updateSettings](https://cloud.google.com/contact-center/insights/docs/reference/rest/v1/projects.locations/updateSettings).

update_view

update_view(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateViewRequest,
            dict,
        ]
    ] = None,
    *,
    view: typing.Optional[
        google.cloud.contact_center_insights_v1.types.resources.View
    ] = None,
    update_mask: typing.Optional[google.protobuf.field_mask_pb2.FieldMask] = None,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.cloud.contact_center_insights_v1.types.resources.View

Updates a view.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import 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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

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

upload_conversation

upload_conversation(
    request: typing.Optional[
        typing.Union[
            google.cloud.contact_center_insights_v1.types.contact_center_insights.UploadConversationRequest,
            dict,
        ]
    ] = None,
    *,
    retry: typing.Optional[
        typing.Union[
            google.api_core.retry.retry_unary.Retry,
            google.api_core.gapic_v1.method._MethodDefault,
        ]
    ] = _MethodDefault._DEFAULT_VALUE,
    timeout: typing.Union[float, object] = _MethodDefault._DEFAULT_VALUE,
    metadata: typing.Sequence[typing.Tuple[str, typing.Union[str, bytes]]] = ()
) -> google.api_core.operation.Operation

Create a long-running conversation upload operation. This method differs from CreateConversation by allowing audio transcription and optional DLP redaction.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import contact_center_insights_v1

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

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

    # Make the request
    operation = client.upload_conversation(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.UploadConversationRequest, dict] The request object. Request to upload a conversation.
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, Union[str, bytes]]] Key/value pairs which should be sent along with the request as metadata. Normally, each value must be of type str, but for metadata keys ending with the suffix -bin, the corresponding values must be of type bytes.

Returns
Type	Description
google.api_core.operation.Operation	An object representing a long-running operation. The result type for the operation will be Conversation The conversation resource.

view_path

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

Returns a fully-qualified view string.