As of January 1, 2020 this library no longer supports Python 2 on the latest released version. Library versions released prior to that date will continue to be available. For more information please visit Python 2 support on Google Cloud.

ContactCenterInsights

class google.cloud.contact_center_insights_v1.services.contact_center_insights.ContactCenterInsightsAsyncClient(*, 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]]] = 'grpc_asyncio', client_options: typing.Optional[google.api_core.client_options.ClientOptions] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)[source]

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

Instantiates the contact center insights async client.

Parameters

  • 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 to use. 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 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.

Raises

google.auth.exceptions.MutualTlsChannelError – If mutual TLS transport creation failed for any reason.

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

Returns a fully-qualified analysis string.

static analysis_rule_path(project: str, location: str, analysis_rule: str) → str

Returns a fully-qualified analysis_rule string.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

async bulk_analyze_conversations(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkAnalyzeConversationsRequest, dict]] = None, *, parent: Optional[str] = None, filter: Optional[str] = None, analysis_percentage: Optional[float] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkAnalyzeConversationsResponse The response for a bulk analyze conversations operation.

Return type

google.api_core.operation_async.AsyncOperation

async bulk_delete_conversations(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkDeleteConversationsRequest, dict]] = None, *, parent: Optional[str] = None, filter: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkDeleteConversationsResponse The response for a bulk delete conversations operation.

Return type

google.api_core.operation_async.AsyncOperation

async bulk_download_feedback_labels(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkDownloadFeedbackLabelsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkDownloadFeedbackLabelsResponse Response for the BulkDownloadFeedbackLabel endpoint.

Return type

google.api_core.operation_async.AsyncOperation

async bulk_upload_feedback_labels(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.BulkUploadFeedbackLabelsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkUploadFeedbackLabelsResponse Response for the Bulk Upload Feedback Labels API.

Return type

google.api_core.operation_async.AsyncOperation

async calculate_issue_model_stats(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateIssueModelStatsRequest, dict]] = None, *, issue_model: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateIssueModelStatsResponse[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response of querying an issue model’s statistics.

Return type

google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsResponse

async calculate_stats(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateStatsRequest, dict]] = None, *, location: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.contact_center_insights.CalculateStatsResponse[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response for calculating conversation statistics.

Return type

google.cloud.contact_center_insights_v1.types.CalculateStatsResponse

async cancel_operation(request: Optional[google.longrunning.operations_pb2.CancelOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

  • request (CancelOperationRequest) – The request object. Request message for CancelOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str

Returns a fully-qualified organization string.

static common_project_path(project: str) → str

Returns a fully-qualified project string.

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

Returns a fully-qualified conversation string.

static conversation_profile_path(project: str, location: str, conversation_profile: str) → str

Returns a fully-qualified conversation_profile string.

async create_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateAnalysisRequest, dict]] = None, *, parent: Optional[str] = None, analysis: Optional[google.cloud.contact_center_insights_v1.types.resources.Analysis] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.Analysis The analysis resource.

Return type

google.api_core.operation_async.AsyncOperation

async create_analysis_rule(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateAnalysisRuleRequest, dict]] = None, *, parent: Optional[str] = None, analysis_rule: Optional[google.cloud.contact_center_insights_v1.types.resources.AnalysisRule] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.AnalysisRule[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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/<Project ID>/locations/<Location ID> or projects/<Project Number>/locations/<Location ID>

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.AnalysisRule

async create_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateConversationRequest, dict]] = None, *, parent: Optional[str] = None, conversation: Optional[google.cloud.contact_center_insights_v1.types.resources.Conversation] = None, conversation_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Conversation[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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 [a-z][0-9]-

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The conversation resource.

Return type

google.cloud.contact_center_insights_v1.types.Conversation

async create_feedback_label(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateFeedbackLabelRequest, dict]] = None, *, parent: Optional[str] = None, feedback_label: Optional[google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel] = None, feedback_label_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel[source]

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

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

    # 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 = await client.create_feedback_label(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Represents a conversation, resource, and label provided by the user.

Return type

google.cloud.contact_center_insights_v1.types.FeedbackLabel

async create_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateIssueModelRequest, dict]] = None, *, parent: Optional[str] = None, issue_model: Optional[google.cloud.contact_center_insights_v1.types.resources.IssueModel] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.IssueModel The issue model resource.

Return type

google.api_core.operation_async.AsyncOperation

async create_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreatePhraseMatcherRequest, dict]] = None, *, parent: Optional[str] = None, phrase_matcher: Optional[google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher[source]

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

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

    # 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 = await client.create_phrase_matcher(request=request)

    # Handle the response
    print(response)
Parameters

  • request (Optional[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/<Project ID>/locations/<Location ID> or projects/<Project Number>/locations/<Location ID>

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The phrase matcher resource.

Return type

google.cloud.contact_center_insights_v1.types.PhraseMatcher

async create_qa_question(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateQaQuestionRequest, dict]] = None, *, parent: Optional[str] = None, qa_question: Optional[google.cloud.contact_center_insights_v1.types.resources.QaQuestion] = None, qa_question_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaQuestion[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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 [a-z][0-9]-.

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A single question to be scored by the Insights QA feature.

Return type

google.cloud.contact_center_insights_v1.types.QaQuestion

async create_qa_scorecard(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateQaScorecardRequest, dict]] = None, *, parent: Optional[str] = None, qa_scorecard: Optional[google.cloud.contact_center_insights_v1.types.resources.QaScorecard] = None, qa_scorecard_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecard[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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 [a-z][0-9]-.

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A QaScorecard represents a collection of questions to be scored during analysis.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecard

async create_qa_scorecard_revision(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateQaScorecardRevisionRequest, dict]] = None, *, parent: Optional[str] = None, qa_scorecard_revision: Optional[google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision] = None, qa_scorecard_revision_id: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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 [a-z][0-9]-.

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

async create_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.CreateViewRequest, dict]] = None, *, parent: Optional[str] = None, view: Optional[google.cloud.contact_center_insights_v1.types.resources.View] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.View[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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/<Project ID>/locations/<Location ID> or projects/<Project Number>/locations/<Location ID>

    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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The View resource.

Return type

google.cloud.contact_center_insights_v1.types.View

async delete_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteAnalysisRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_analysis_rule(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteAnalysisRuleRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteConversationRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_feedback_label(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteFeedbackLabelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_issue(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteIssueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteIssueModelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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);

}

Return type

google.api_core.operation_async.AsyncOperation

async delete_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeletePhraseMatcherRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_qa_question(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteQaQuestionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_qa_scorecard(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteQaScorecardRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_qa_scorecard_revision(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteQaScorecardRevisionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async delete_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeleteViewRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → None[source]

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

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

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

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

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

async deploy_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeployIssueModelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.DeployIssueModelResponse The response to deploy an issue model.

Return type

google.api_core.operation_async.AsyncOperation

async deploy_qa_scorecard_revision(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.DeployQaScorecardRevisionRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters
Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

static encryption_spec_path(project: str, location: str) → str

Returns a fully-qualified encryption_spec string.

async export_insights_data(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ExportInsightsDataRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.ExportInsightsDataResponse Response for an export insights operation.

Return type

google.api_core.operation_async.AsyncOperation

async export_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ExportIssueModelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.ExportIssueModelResponse Response from export issue model

Return type

google.api_core.operation_async.AsyncOperation

static feedback_label_path(project: str, location: str, conversation: str, feedback_label: str) → str

Returns a fully-qualified feedback_label string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ContactCenterInsightsAsyncClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ContactCenterInsightsAsyncClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ContactCenterInsightsAsyncClient

async get_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetAnalysisRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Analysis[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The analysis resource.

Return type

google.cloud.contact_center_insights_v1.types.Analysis

async get_analysis_rule(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetAnalysisRuleRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.AnalysisRule[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.AnalysisRule

async get_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetConversationRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Conversation[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The conversation resource.

Return type

google.cloud.contact_center_insights_v1.types.Conversation

async get_encryption_spec(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetEncryptionSpecRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.EncryptionSpec[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A customer-managed encryption key specification that can be applied to all

created resources (e.g. Conversation).

Return type

google.cloud.contact_center_insights_v1.types.EncryptionSpec

async get_feedback_label(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetFeedbackLabelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Represents a conversation, resource, and label provided by the user.

Return type

google.cloud.contact_center_insights_v1.types.FeedbackLabel

async get_issue(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetIssueRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Issue[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The issue resource.

Return type

google.cloud.contact_center_insights_v1.types.Issue

async get_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetIssueModelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.IssueModel[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The issue model resource.

Return type

google.cloud.contact_center_insights_v1.types.IssueModel

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

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.

Parameters

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.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

async get_operation(request: Optional[google.longrunning.operations_pb2.GetOperationRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.Operation[source]

Gets the latest state of a long-running operation.

Parameters

  • request (GetOperationRequest) – The request object. Request message for GetOperation method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

async get_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetPhraseMatcherRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The phrase matcher resource.

Return type

google.cloud.contact_center_insights_v1.types.PhraseMatcher

async get_qa_question(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetQaQuestionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaQuestion[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A single question to be scored by the Insights QA feature.

Return type

google.cloud.contact_center_insights_v1.types.QaQuestion

async get_qa_scorecard(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetQaScorecardRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecard[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A QaScorecard represents a collection of questions to be scored during analysis.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecard

async get_qa_scorecard_revision(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetQaScorecardRevisionRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

async get_settings(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetSettingsRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Settings[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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).

Return type

google.cloud.contact_center_insights_v1.types.Settings

classmethod get_transport_class(label: Optional[str] = None) → Type[google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport]

Returns an appropriate transport class.

Parameters

label – The name of the desired transport. If none is provided, then the first transport in the registry is used.

Returns

The transport class to use.

async get_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetViewRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.View[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The View resource.

Return type

google.cloud.contact_center_insights_v1.types.View

async import_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ImportIssueModelRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.ImportIssueModelResponse Response from import issue model

Return type

google.api_core.operation_async.AsyncOperation

async ingest_conversations(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.IngestConversationsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.IngestConversationsResponse The response to an IngestConversations operation.

Return type

google.api_core.operation_async.AsyncOperation

async initialize_encryption_spec(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.InitializeEncryptionSpecRequest, dict]] = None, *, encryption_spec: Optional[google.cloud.contact_center_insights_v1.types.resources.EncryptionSpec] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.InitializeEncryptionSpecResponse The response to initialize a location-level encryption specification.

Return type

google.api_core.operation_async.AsyncOperation

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

Returns a fully-qualified issue_model string.

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

Returns a fully-qualified issue string.

async list_all_feedback_labels(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response for listing all feedback labels. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsAsyncPager

async list_analyses(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response to list analyses.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesAsyncPager

async list_analysis_rules(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing views.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesAsyncPager

async list_conversations(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing conversations. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsAsyncPager

async list_feedback_labels(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response for listing feedback labels. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsAsyncPager

async list_issue_models(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssueModelsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssueModelsResponse[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing issue models.

Return type

google.cloud.contact_center_insights_v1.types.ListIssueModelsResponse

async list_issues(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssuesRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.contact_center_insights.ListIssuesResponse[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing issues.

Return type

google.cloud.contact_center_insights_v1.types.ListIssuesResponse

async list_operations(request: Optional[google.longrunning.operations_pb2.ListOperationsRequest] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.longrunning.operations_pb2.ListOperationsResponse[source]

Lists operations that match the specified filter in the request.

Parameters

  • request (ListOperationsRequest) – The request object. Request message for ListOperations method.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

async list_phrase_matchers(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing phrase matchers. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersAsyncPager

async list_qa_questions(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from a ListQaQuestions request. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsAsyncPager

async list_qa_scorecard_revisions(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from a ListQaScorecardRevisions request. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsAsyncPager

async list_qa_scorecards(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from a ListQaScorecards request. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsAsyncPager

async list_views(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsAsyncPager[source]

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

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

    # 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
    async for response in page_result:
        print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing views.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsAsyncPager

static parse_analysis_path(path: str) → Dict[str, str]

Parses a analysis path into its component segments.

static parse_analysis_rule_path(path: str) → Dict[str, str]

Parses a analysis_rule path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str]

Parse a project path into its component segments.

static parse_conversation_path(path: str) → Dict[str, str]

Parses a conversation path into its component segments.

static parse_conversation_profile_path(path: str) → Dict[str, str]

Parses a conversation_profile path into its component segments.

static parse_encryption_spec_path(path: str) → Dict[str, str]

Parses a encryption_spec path into its component segments.

static parse_feedback_label_path(path: str) → Dict[str, str]

Parses a feedback_label path into its component segments.

static parse_issue_model_path(path: str) → Dict[str, str]

Parses a issue_model path into its component segments.

static parse_issue_path(path: str) → Dict[str, str]

Parses a issue path into its component segments.

static parse_participant_path(path: str) → Dict[str, str]

Parses a participant path into its component segments.

static parse_phrase_matcher_path(path: str) → Dict[str, str]

Parses a phrase_matcher path into its component segments.

static parse_qa_question_path(path: str) → Dict[str, str]

Parses a qa_question path into its component segments.

static parse_qa_scorecard_path(path: str) → Dict[str, str]

Parses a qa_scorecard path into its component segments.

static parse_qa_scorecard_result_path(path: str) → Dict[str, str]

Parses a qa_scorecard_result path into its component segments.

static parse_qa_scorecard_revision_path(path: str) → Dict[str, str]

Parses a qa_scorecard_revision path into its component segments.

static parse_recognizer_path(path: str) → Dict[str, str]

Parses a recognizer path into its component segments.

static parse_settings_path(path: str) → Dict[str, str]

Parses a settings path into its component segments.

static parse_view_path(path: str) → Dict[str, str]

Parses a view path into its component segments.

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

Returns a fully-qualified participant string.

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

Returns a fully-qualified phrase_matcher string.

static qa_question_path(project: str, location: str, qa_scorecard: str, revision: str, qa_question: str) → str

Returns a fully-qualified qa_question string.

static qa_scorecard_path(project: str, location: str, qa_scorecard: str) → str

Returns a fully-qualified qa_scorecard string.

static qa_scorecard_result_path(project: str, location: str, qa_scorecard_result: str) → str

Returns a fully-qualified qa_scorecard_result string.

static qa_scorecard_revision_path(project: str, location: str, qa_scorecard: str, revision: str) → str

Returns a fully-qualified qa_scorecard_revision string.

async query_metrics(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.QueryMetricsRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[Union[google.cloud.contact_center_insights_v1.types.QueryMetricsRequest, dict]]) – The request object. The request for querying metrics.

  • retry (google.api_core.retry_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.QueryMetricsResponse The response for querying metrics.

Return type

google.api_core.operation_async.AsyncOperation

static recognizer_path(project: str, location: str, recognizer: str) → str

Returns a fully-qualified recognizer string.

static settings_path(project: str, location: str) → str

Returns a fully-qualified settings string.

property transport: google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport

Returns the transport used by the client instance.

Returns

The transport used by the client instance.

Return type

ContactCenterInsightsTransport

async tune_qa_scorecard_revision(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.TuneQaScorecardRevisionRequest, dict]] = None, *, parent: Optional[str] = None, filter: Optional[str] = None, validate_only: Optional[bool] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.TuneQaScorecardRevisionResponse Response for TuneQaScorecardRevision endpoint.

Return type

google.api_core.operation_async.AsyncOperation

async undeploy_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UndeployIssueModelRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.UndeployIssueModelResponse The response to undeploy an issue model.

Return type

google.api_core.operation_async.AsyncOperation

async undeploy_qa_scorecard_revision(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UndeployQaScorecardRevisionRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecardRevision[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters
Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used

by the client instance.

Return type

str

async update_analysis_rule(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateAnalysisRuleRequest, dict]] = None, *, analysis_rule: Optional[google.cloud.contact_center_insights_v1.types.resources.AnalysisRule] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.AnalysisRule[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.AnalysisRule

async update_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateConversationRequest, dict]] = None, *, conversation: Optional[google.cloud.contact_center_insights_v1.types.resources.Conversation] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Conversation[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The conversation resource.

Return type

google.cloud.contact_center_insights_v1.types.Conversation

async update_feedback_label(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateFeedbackLabelRequest, dict]] = None, *, feedback_label: Optional[google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.FeedbackLabel[source]

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

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

    # 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 = await client.update_feedback_label(request=request)

    # Handle the response
    print(response)
Parameters
Returns

Represents a conversation, resource, and label provided by the user.

Return type

google.cloud.contact_center_insights_v1.types.FeedbackLabel

async update_issue(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateIssueRequest, dict]] = None, *, issue: Optional[google.cloud.contact_center_insights_v1.types.resources.Issue] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Issue[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters
Returns

The issue resource.

Return type

google.cloud.contact_center_insights_v1.types.Issue

async update_issue_model(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateIssueModelRequest, dict]] = None, *, issue_model: Optional[google.cloud.contact_center_insights_v1.types.resources.IssueModel] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.IssueModel[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters
Returns

The issue model resource.

Return type

google.cloud.contact_center_insights_v1.types.IssueModel

async update_phrase_matcher(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdatePhraseMatcherRequest, dict]] = None, *, phrase_matcher: Optional[google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.PhraseMatcher[source]

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

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

    # 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 = await client.update_phrase_matcher(request=request)

    # Handle the response
    print(response)
Parameters
Returns

The phrase matcher resource.

Return type

google.cloud.contact_center_insights_v1.types.PhraseMatcher

async update_qa_question(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateQaQuestionRequest, dict]] = None, *, qa_question: Optional[google.cloud.contact_center_insights_v1.types.resources.QaQuestion] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaQuestion[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A single question to be scored by the Insights QA feature.

Return type

google.cloud.contact_center_insights_v1.types.QaQuestion

async update_qa_scorecard(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateQaScorecardRequest, dict]] = None, *, qa_scorecard: Optional[google.cloud.contact_center_insights_v1.types.resources.QaScorecard] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.QaScorecard[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters

  • request (Optional[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_async.AsyncRetry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

A QaScorecard represents a collection of questions to be scored during analysis.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecard

async update_settings(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateSettingsRequest, dict]] = None, *, settings: Optional[google.cloud.contact_center_insights_v1.types.resources.Settings] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Settings[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters
Returns

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).

Return type

google.cloud.contact_center_insights_v1.types.Settings

async update_view(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UpdateViewRequest, dict]] = None, *, view: Optional[google.cloud.contact_center_insights_v1.types.resources.View] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.View[source]

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

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

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

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

    # Handle the response
    print(response)
Parameters
Returns

The View resource.

Return type

google.cloud.contact_center_insights_v1.types.View

async upload_conversation(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.UploadConversationRequest, dict]] = None, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.api_core.operation_async.AsyncOperation[source]

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

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

    # 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 = (await operation).result()

    # Handle the response
    print(response)
Parameters
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.Conversation The conversation resource.

Return type

google.api_core.operation_async.AsyncOperation

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

Returns a fully-qualified view string.

class google.cloud.contact_center_insights_v1.services.contact_center_insights.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>)[source]

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

Instantiates the contact center insights client.

Parameters

  • 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.

Raises

google.auth.exceptions.MutualTLSChannelError – If mutual TLS transport creation failed for any reason.

__exit__(type, value, traceback)[source]

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!

static analysis_path(project: str, location: str, conversation: str, analysis: str) → str[source]

Returns a fully-qualified analysis string.

static analysis_rule_path(project: str, location: str, analysis_rule: str) → str[source]

Returns a fully-qualified analysis_rule string.

property api_endpoint

Return the API endpoint used by the client instance.

Returns

The API endpoint used by the client instance.

Return type

str

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkAnalyzeConversationsResponse The response for a bulk analyze conversations operation.

Return type

google.api_core.operation.Operation

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkDeleteConversationsResponse The response for a bulk delete conversations operation.

Return type

google.api_core.operation.Operation

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkDownloadFeedbackLabelsResponse Response for the BulkDownloadFeedbackLabel endpoint.

Return type

google.api_core.operation.Operation

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.BulkUploadFeedbackLabelsResponse Response for the Bulk Upload Feedback Labels API.

Return type

google.api_core.operation.Operation

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsRequest, dict]) – The request object. Request to get statistics of an issue model.

  • issue_model (str) –

    Required. The resource name of the issue model to query against.

    This corresponds to the issue_model field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response of querying an issue model’s statistics.

Return type

google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsResponse

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.CalculateStatsRequest, dict]) – The request object. The request for calculating conversation statistics.

  • location (str) –

    Required. The location of the conversations.

    This corresponds to the location field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response for calculating conversation statistics.

Return type

google.cloud.contact_center_insights_v1.types.CalculateStatsResponse

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

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

  • request (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, str]]) – Strings which should be sent along with the request as metadata.

Returns

None

static common_billing_account_path(billing_account: str) → str[source]

Returns a fully-qualified billing_account string.

static common_folder_path(folder: str) → str[source]

Returns a fully-qualified folder string.

static common_location_path(project: str, location: str) → str[source]

Returns a fully-qualified location string.

static common_organization_path(organization: str) → str[source]

Returns a fully-qualified organization string.

static common_project_path(project: str) → str[source]

Returns a fully-qualified project string.

static conversation_path(project: str, location: str, conversation: str) → str[source]

Returns a fully-qualified conversation string.

static conversation_profile_path(project: str, location: str, conversation_profile: str) → str[source]

Returns a fully-qualified conversation_profile string.

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.Analysis The analysis resource.

Return type

google.api_core.operation.Operation

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

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

  • 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/<Project ID>/locations/<Location ID> or projects/<Project Number>/locations/<Location ID>

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.AnalysisRule

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

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

  • 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 [a-z][0-9]-

    This corresponds to the conversation_id field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The conversation resource.

Return type

google.cloud.contact_center_insights_v1.types.Conversation

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Represents a conversation, resource, and label provided by the user.

Return type

google.cloud.contact_center_insights_v1.types.FeedbackLabel

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.IssueModel The issue model resource.

Return type

google.api_core.operation.Operation

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

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

  • 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/<Project ID>/locations/<Location ID> or projects/<Project Number>/locations/<Location ID>

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • phrase_matcher (google.cloud.contact_center_insights_v1.types.PhraseMatcher) –

    Required. The phrase matcher resource to create.

    This corresponds to the phrase_matcher field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The phrase matcher resource.

Return type

google.cloud.contact_center_insights_v1.types.PhraseMatcher

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

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

  • 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 [a-z][0-9]-.

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

A single question to be scored by the Insights QA feature.

Return type

google.cloud.contact_center_insights_v1.types.QaQuestion

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

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

  • 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 [a-z][0-9]-.

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

A QaScorecard represents a collection of questions to be scored during analysis.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecard

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

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

  • 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 [a-z][0-9]-.

    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, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

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

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

  • 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/<Project ID>/locations/<Location ID> or projects/<Project Number>/locations/<Location ID>

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • view (google.cloud.contact_center_insights_v1.types.View) –

    Required. The view resource to create.

    This corresponds to the view field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The View resource.

Return type

google.cloud.contact_center_insights_v1.types.View

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.DeleteAnalysisRequest, dict]) – The request object. The request to delete an analysis.

  • name (str) –

    Required. The name of the analysis to delete.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.DeleteConversationRequest, dict]) – The request object. The request to delete a conversation.

  • name (str) –

    Required. The name of the conversation to delete.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.DeleteIssueModelRequest, dict]) – The request object. The request to delete an issue model.

  • name (str) –

    Required. The name of the issue model to delete.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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);

}

Return type

google.api_core.operation.Operation

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.DeletePhraseMatcherRequest, dict]) – The request object. The request to delete a phrase matcher.

  • name (str) –

    Required. The name of the phrase matcher to delete.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

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

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.DeleteViewRequest, dict]) – The request object. The request to delete a view.

  • name (str) –

    Required. The name of the view to delete.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.DeployIssueModelResponse The response to deploy an issue model.

Return type

google.api_core.operation.Operation

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

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
Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

static encryption_spec_path(project: str, location: str) → str[source]

Returns a fully-qualified encryption_spec string.

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ExportInsightsDataRequest, dict]) – The request object. The request to export insights.

  • parent (str) –

    Required. The parent resource to export data from.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.ExportInsightsDataResponse Response for an export insights operation.

Return type

google.api_core.operation.Operation

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.ExportIssueModelResponse Response from export issue model

Return type

google.api_core.operation.Operation

static feedback_label_path(project: str, location: str, conversation: str, feedback_label: str) → str[source]

Returns a fully-qualified feedback_label string.

classmethod from_service_account_file(filename: str, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ContactCenterInsightsClient

classmethod from_service_account_info(info: dict, *args, **kwargs)[source]
Creates an instance of this client using the provided credentials

info.

Parameters

  • info (dict) – The service account private key info.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ContactCenterInsightsClient

classmethod from_service_account_json(filename: str, *args, **kwargs)
Creates an instance of this client using the provided credentials

file.

Parameters

  • filename (str) – The path to the service account private key json file.

  • args – Additional arguments to pass to the constructor.

  • kwargs – Additional arguments to pass to the constructor.

Returns

The constructed client.

Return type

ContactCenterInsightsClient

get_analysis(request: Optional[Union[google.cloud.contact_center_insights_v1.types.contact_center_insights.GetAnalysisRequest, dict]] = None, *, name: Optional[str] = None, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ()) → google.cloud.contact_center_insights_v1.types.resources.Analysis[source]

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetAnalysisRequest, dict]) – The request object. The request to get an analysis.

  • name (str) –

    Required. The name of the analysis to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The analysis resource.

Return type

google.cloud.contact_center_insights_v1.types.Analysis

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.AnalysisRule

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetConversationRequest, dict]) – The request object. The request to get a conversation.

  • name (str) –

    Required. The name of the conversation to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The conversation resource.

Return type

google.cloud.contact_center_insights_v1.types.Conversation

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

A customer-managed encryption key specification that can be applied to all

created resources (e.g. Conversation).

Return type

google.cloud.contact_center_insights_v1.types.EncryptionSpec

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Represents a conversation, resource, and label provided by the user.

Return type

google.cloud.contact_center_insights_v1.types.FeedbackLabel

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetIssueRequest, dict]) – The request object. The request to get an issue.

  • name (str) –

    Required. The name of the issue to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The issue resource.

Return type

google.cloud.contact_center_insights_v1.types.Issue

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetIssueModelRequest, dict]) – The request object. The request to get an issue model.

  • name (str) –

    Required. The name of the issue model to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The issue model resource.

Return type

google.cloud.contact_center_insights_v1.types.IssueModel

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

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.

Parameters

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.

Returns

returns the API endpoint and the

client cert source to use.

Return type

Tuple[str, Callable[[], Tuple[bytes, bytes]]]

Raises

google.auth.exceptions.MutualTLSChannelError – If any errors happen.

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

Gets the latest state of a long-running operation.

Parameters

  • request (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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An Operation object.

Return type

Operation

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetPhraseMatcherRequest, dict]) – The request object. The request to get a a phrase matcher.

  • name (str) –

    Required. The name of the phrase matcher to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The phrase matcher resource.

Return type

google.cloud.contact_center_insights_v1.types.PhraseMatcher

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

A single question to be scored by the Insights QA feature.

Return type

google.cloud.contact_center_insights_v1.types.QaQuestion

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

A QaScorecard represents a collection of questions to be scored during analysis.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecard

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

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
Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetSettingsRequest, dict]) – The request object. The request to get project-level settings.

  • name (str) –

    Required. The name of the settings resource to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

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).

Return type

google.cloud.contact_center_insights_v1.types.Settings

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.GetViewRequest, dict]) – The request object. The request to get a view.

  • name (str) –

    Required. The name of the view to get.

    This corresponds to the name field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The View resource.

Return type

google.cloud.contact_center_insights_v1.types.View

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.ImportIssueModelResponse Response from import issue model

Return type

google.api_core.operation.Operation

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.IngestConversationsResponse The response to an IngestConversations operation.

Return type

google.api_core.operation.Operation

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.InitializeEncryptionSpecResponse The response to initialize a location-level encryption specification.

Return type

google.api_core.operation.Operation

static issue_model_path(project: str, location: str, issue_model: str) → str[source]

Returns a fully-qualified issue_model string.

static issue_path(project: str, location: str, issue_model: str, issue: str) → str[source]

Returns a fully-qualified issue string.

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response for listing all feedback labels. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsPager

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ListAnalysesRequest, dict]) – The request object. The request to list analyses.

  • parent (str) –

    Required. The parent resource of the analyses.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response to list analyses.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesPager

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing views.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesPager

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ListConversationsRequest, dict]) – The request object. Request to list conversations.

  • parent (str) –

    Required. The parent resource of the conversation.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing conversations. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsPager

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response for listing feedback labels. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsPager

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ListIssueModelsRequest, dict]) – The request object. Request to list issue models.

  • parent (str) –

    Required. The parent resource of the issue model.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing issue models.

Return type

google.cloud.contact_center_insights_v1.types.ListIssueModelsResponse

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ListIssuesRequest, dict]) – The request object. Request to list issues.

  • parent (str) –

    Required. The parent resource of the issue.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing issues.

Return type

google.cloud.contact_center_insights_v1.types.ListIssuesResponse

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

Lists operations that match the specified filter in the request.

Parameters

  • request (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, str]]) – Strings which should be sent along with the request as metadata.

Returns

Response message for ListOperations method.

Return type

ListOperationsResponse

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ListPhraseMatchersRequest, dict]) – The request object. Request to list phrase matchers.

  • parent (str) –

    Required. The parent resource of the phrase matcher.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing phrase matchers. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersPager

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from a ListQaQuestions request. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsPager

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from a ListQaScorecardRevisions request. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsPager

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response from a ListQaScorecards request. Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsPager

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

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

  • request (Union[google.cloud.contact_center_insights_v1.types.ListViewsRequest, dict]) – The request object. The request to list views.

  • parent (str) –

    Required. The parent resource of the views.

    This corresponds to the parent field on the request instance; if request is provided, this should not be set.

  • retry (google.api_core.retry.Retry) – Designation of what errors, if any, should be retried.

  • timeout (float) – The timeout for this request.

  • metadata (Sequence[Tuple[str, str]]) – Strings which should be sent along with the request as metadata.

Returns

The response of listing views.

Iterating over this object will yield results and resolve additional pages automatically.

Return type

google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsPager

static parse_analysis_path(path: str) → Dict[str, str][source]

Parses a analysis path into its component segments.

static parse_analysis_rule_path(path: str) → Dict[str, str][source]

Parses a analysis_rule path into its component segments.

static parse_common_billing_account_path(path: str) → Dict[str, str][source]

Parse a billing_account path into its component segments.

static parse_common_folder_path(path: str) → Dict[str, str][source]

Parse a folder path into its component segments.

static parse_common_location_path(path: str) → Dict[str, str][source]

Parse a location path into its component segments.

static parse_common_organization_path(path: str) → Dict[str, str][source]

Parse a organization path into its component segments.

static parse_common_project_path(path: str) → Dict[str, str][source]

Parse a project path into its component segments.

static parse_conversation_path(path: str) → Dict[str, str][source]

Parses a conversation path into its component segments.

static parse_conversation_profile_path(path: str) → Dict[str, str][source]

Parses a conversation_profile path into its component segments.

static parse_encryption_spec_path(path: str) → Dict[str, str][source]

Parses a encryption_spec path into its component segments.

static parse_feedback_label_path(path: str) → Dict[str, str][source]

Parses a feedback_label path into its component segments.

static parse_issue_model_path(path: str) → Dict[str, str][source]

Parses a issue_model path into its component segments.

static parse_issue_path(path: str) → Dict[str, str][source]

Parses a issue path into its component segments.

static parse_participant_path(path: str) → Dict[str, str][source]

Parses a participant path into its component segments.

static parse_phrase_matcher_path(path: str) → Dict[str, str][source]

Parses a phrase_matcher path into its component segments.

static parse_qa_question_path(path: str) → Dict[str, str][source]

Parses a qa_question path into its component segments.

static parse_qa_scorecard_path(path: str) → Dict[str, str][source]

Parses a qa_scorecard path into its component segments.

static parse_qa_scorecard_result_path(path: str) → Dict[str, str][source]

Parses a qa_scorecard_result path into its component segments.

static parse_qa_scorecard_revision_path(path: str) → Dict[str, str][source]

Parses a qa_scorecard_revision path into its component segments.

static parse_recognizer_path(path: str) → Dict[str, str][source]

Parses a recognizer path into its component segments.

static parse_settings_path(path: str) → Dict[str, str][source]

Parses a settings path into its component segments.

static parse_view_path(path: str) → Dict[str, str][source]

Parses a view path into its component segments.

static participant_path(project: str, conversation: str, participant: str) → str[source]

Returns a fully-qualified participant string.

static phrase_matcher_path(project: str, location: str, phrase_matcher: str) → str[source]

Returns a fully-qualified phrase_matcher string.

static qa_question_path(project: str, location: str, qa_scorecard: str, revision: str, qa_question: str) → str[source]

Returns a fully-qualified qa_question string.

static qa_scorecard_path(project: str, location: str, qa_scorecard: str) → str[source]

Returns a fully-qualified qa_scorecard string.

static qa_scorecard_result_path(project: str, location: str, qa_scorecard_result: str) → str[source]

Returns a fully-qualified qa_scorecard_result string.

static qa_scorecard_revision_path(project: str, location: str, qa_scorecard: str, revision: str) → str[source]

Returns a fully-qualified qa_scorecard_revision string.

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.QueryMetricsResponse The response for querying metrics.

Return type

google.api_core.operation.Operation

static recognizer_path(project: str, location: str, recognizer: str) → str[source]

Returns a fully-qualified recognizer string.

static settings_path(project: str, location: str) → str[source]

Returns a fully-qualified settings string.

property transport: google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport

Returns the transport used by the client instance.

Returns

The transport used by the client

instance.

Return type

ContactCenterInsightsTransport

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.TuneQaScorecardRevisionResponse Response for TuneQaScorecardRevision endpoint.

Return type

google.api_core.operation.Operation

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.UndeployIssueModelResponse The response to undeploy an issue model.

Return type

google.api_core.operation.Operation

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

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
Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecardRevision

property universe_domain: str

Return the universe domain used by the client instance.

Returns

The universe domain used by the client instance.

Return type

str

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

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
Returns

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.

Return type

google.cloud.contact_center_insights_v1.types.AnalysisRule

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

The conversation resource.

Return type

google.cloud.contact_center_insights_v1.types.Conversation

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

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
Returns

Represents a conversation, resource, and label provided by the user.

Return type

google.cloud.contact_center_insights_v1.types.FeedbackLabel

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

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
Returns

The issue resource.

Return type

google.cloud.contact_center_insights_v1.types.Issue

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

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
Returns

The issue model resource.

Return type

google.cloud.contact_center_insights_v1.types.IssueModel

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

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
Returns

The phrase matcher resource.

Return type

google.cloud.contact_center_insights_v1.types.PhraseMatcher

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

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

  • 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, str]]) – Strings which should be sent along with the request as metadata.

Returns

A single question to be scored by the Insights QA feature.

Return type

google.cloud.contact_center_insights_v1.types.QaQuestion

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

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
Returns

A QaScorecard represents a collection of questions to be scored during analysis.

Return type

google.cloud.contact_center_insights_v1.types.QaScorecard

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

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
Returns

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).

Return type

google.cloud.contact_center_insights_v1.types.Settings

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

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
Returns

The View resource.

Return type

google.cloud.contact_center_insights_v1.types.View

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

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
Returns

An object representing a long-running operation.

The result type for the operation will be google.cloud.contact_center_insights_v1.types.Conversation The conversation resource.

Return type

google.api_core.operation.Operation

static view_path(project: str, location: str, view: str) → str[source]

Returns a fully-qualified view string.

class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_all_feedback_labels requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListAllFeedbackLabelsResponse object, and provides an __aiter__ method to iterate through its feedback_labels field.

If there are more pages, the __aiter__ method will make additional ListAllFeedbackLabels requests and continue to iterate through the feedback_labels field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListAllFeedbackLabelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAllFeedbackLabelsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAllFeedbackLabelsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_all_feedback_labels requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListAllFeedbackLabelsResponse object, and provides an __iter__ method to iterate through its feedback_labels field.

If there are more pages, the __iter__ method will make additional ListAllFeedbackLabels requests and continue to iterate through the feedback_labels field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListAllFeedbackLabelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_analyses requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListAnalysesResponse object, and provides an __aiter__ method to iterate through its analyses field.

If there are more pages, the __aiter__ method will make additional ListAnalyses requests and continue to iterate through the analyses field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListAnalysesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_analyses requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListAnalysesResponse object, and provides an __iter__ method to iterate through its analyses field.

If there are more pages, the __iter__ method will make additional ListAnalyses requests and continue to iterate through the analyses field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListAnalysesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_analysis_rules requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListAnalysisRulesResponse object, and provides an __aiter__ method to iterate through its analysis_rules field.

If there are more pages, the __aiter__ method will make additional ListAnalysisRules requests and continue to iterate through the analysis_rules field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListAnalysisRulesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysisRulesPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListAnalysisRulesResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_analysis_rules requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListAnalysisRulesResponse object, and provides an __iter__ method to iterate through its analysis_rules field.

If there are more pages, the __iter__ method will make additional ListAnalysisRules requests and continue to iterate through the analysis_rules field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListAnalysisRulesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_conversations requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListConversationsResponse object, and provides an __aiter__ method to iterate through its conversations field.

If there are more pages, the __aiter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListConversationsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_conversations requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListConversationsResponse object, and provides an __iter__ method to iterate through its conversations field.

If there are more pages, the __iter__ method will make additional ListConversations requests and continue to iterate through the conversations field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListConversationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_feedback_labels requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListFeedbackLabelsResponse object, and provides an __aiter__ method to iterate through its feedback_labels field.

If there are more pages, the __aiter__ method will make additional ListFeedbackLabels requests and continue to iterate through the feedback_labels field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListFeedbackLabelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListFeedbackLabelsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListFeedbackLabelsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_feedback_labels requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListFeedbackLabelsResponse object, and provides an __iter__ method to iterate through its feedback_labels field.

If there are more pages, the __iter__ method will make additional ListFeedbackLabels requests and continue to iterate through the feedback_labels field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListFeedbackLabelsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_phrase_matchers requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListPhraseMatchersResponse object, and provides an __aiter__ method to iterate through its phrase_matchers field.

If there are more pages, the __aiter__ method will make additional ListPhraseMatchers requests and continue to iterate through the phrase_matchers field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListPhraseMatchersResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListPhraseMatchersResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_phrase_matchers requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListPhraseMatchersResponse object, and provides an __iter__ method to iterate through its phrase_matchers field.

If there are more pages, the __iter__ method will make additional ListPhraseMatchers requests and continue to iterate through the phrase_matchers field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListPhraseMatchersResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_qa_questions requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListQaQuestionsResponse object, and provides an __aiter__ method to iterate through its qa_questions field.

If there are more pages, the __aiter__ method will make additional ListQaQuestions requests and continue to iterate through the qa_questions field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListQaQuestionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaQuestionsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaQuestionsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_qa_questions requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListQaQuestionsResponse object, and provides an __iter__ method to iterate through its qa_questions field.

If there are more pages, the __iter__ method will make additional ListQaQuestions requests and continue to iterate through the qa_questions field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListQaQuestionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_qa_scorecard_revisions requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListQaScorecardRevisionsResponse object, and provides an __aiter__ method to iterate through its qa_scorecard_revisions field.

If there are more pages, the __aiter__ method will make additional ListQaScorecardRevisions requests and continue to iterate through the qa_scorecard_revisions field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListQaScorecardRevisionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardRevisionsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardRevisionsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_qa_scorecard_revisions requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListQaScorecardRevisionsResponse object, and provides an __iter__ method to iterate through its qa_scorecard_revisions field.

If there are more pages, the __iter__ method will make additional ListQaScorecardRevisions requests and continue to iterate through the qa_scorecard_revisions field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListQaScorecardRevisionsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_qa_scorecards requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListQaScorecardsResponse object, and provides an __aiter__ method to iterate through its qa_scorecards field.

If there are more pages, the __aiter__ method will make additional ListQaScorecards requests and continue to iterate through the qa_scorecards field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListQaScorecardsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListQaScorecardsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListQaScorecardsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_qa_scorecards requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListQaScorecardsResponse object, and provides an __iter__ method to iterate through its qa_scorecards field.

If there are more pages, the __iter__ method will make additional ListQaScorecards requests and continue to iterate through the qa_scorecards field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListQaScorecardsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsAsyncPager(method: Callable[[...], Awaitable[google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsResponse]], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary_async.AsyncRetry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_views requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListViewsResponse object, and provides an __aiter__ method to iterate through its views field.

If there are more pages, the __aiter__ method will make additional ListViews requests and continue to iterate through the views field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListViewsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiates the pager.

Parameters
class google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListViewsPager(method: Callable[[...], google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsResponse], request: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsRequest, response: google.cloud.contact_center_insights_v1.types.contact_center_insights.ListViewsResponse, *, retry: Optional[Union[google.api_core.retry.retry_unary.Retry, google.api_core.gapic_v1.method._MethodDefault]] = _MethodDefault._DEFAULT_VALUE, timeout: Union[float, object] = _MethodDefault._DEFAULT_VALUE, metadata: Sequence[Tuple[str, str]] = ())[source]

A pager for iterating through list_views requests.

This class thinly wraps an initial google.cloud.contact_center_insights_v1.types.ListViewsResponse object, and provides an __iter__ method to iterate through its views field.

If there are more pages, the __iter__ method will make additional ListViews requests and continue to iterate through the views field on the corresponding responses.

All the usual google.cloud.contact_center_insights_v1.types.ListViewsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Instantiate the pager.

Parameters