Class ContactCenterInsightsAsyncClient (1.17.4)

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>)

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

Properties

api_endpoint

Return the API endpoint used by the client instance.

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

transport

Returns the transport used by the client instance.

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

universe_domain

Return the universe domain used by the client instance.

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

Methods

ContactCenterInsightsAsyncClient

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>)

Instantiates the contact center insights async client.

Parameters
Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Optional[Union[str,ContactCenterInsightsTransport,Callable[..., ContactCenterInsightsTransport]]]` The transport to use, or a Callable that constructs and returns a new transport 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.

Exceptions
Type	Description
`google.auth.exceptions.MutualTlsChannelError`	If mutual TLS transport creation failed for any reason.

analysis_path

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

Returns a fully-qualified analysis string.

bulk_analyze_conversations

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

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

bulk_delete_conversations

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

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

calculate_issue_model_stats

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

Gets an issue model's statistics.

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

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

calculate_stats

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

Gets conversation statistics.

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

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

cancel_operation

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

Starts asynchronous cancellation on a long-running operation.

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

Parameters
Name	Description
`request`	`.operations_pb2.CancelOperationRequest` The request object. Request message for `CancelOperation` method.
`retry`	`google.api_core.retry_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.

common_billing_account_path

common_billing_account_path(billing_account: str) -> str

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str) -> str

Returns a fully-qualified folder string.

common_location_path

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

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str) -> str

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str) -> str

Returns a fully-qualified project string.

conversation_path

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

Returns a fully-qualified conversation string.

conversation_profile_path

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

Returns a fully-qualified conversation_profile string.

create_analysis

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

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
Name	Description
`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`	`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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Analysis The analysis resource.

create_conversation

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

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

create_issue_model

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

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
Name	Description
`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`	`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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be IssueModel The issue model resource.

create_phrase_matcher

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

Creates a phrase matcher.

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

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
Name	Description
`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/` or `projects/` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`phrase_matcher`	`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
Type	Description
`google.cloud.contact_center_insights_v1.types.PhraseMatcher`	The phrase matcher resource.

create_view

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

Creates a view.

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

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
Name	Description
`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/` or `projects/` This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`view`	`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
Type	Description
`google.cloud.contact_center_insights_v1.types.View`	The View resource.

delete_analysis

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

Deletes an analysis.

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

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
Name	Description
`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.

delete_conversation

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

Deletes a conversation.

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

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
Name	Description
`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.

delete_issue

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

Deletes an issue.

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

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
Name	Description
`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.

delete_issue_model

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

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
Name	Description
`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

Type Description

google.api_core.operation_async.AsyncOperation An object representing a long-running operation. The result type for the operation will be google.protobuf.empty_pb2.Empty A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }

delete_phrase_matcher

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

Deletes a phrase matcher.

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

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
Name	Description
`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.

delete_view

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

Deletes a view.

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

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
Name	Description
`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.

deploy_issue_model

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

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
Name	Description
`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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be DeployIssueModelResponse The response to deploy an issue model.

export_insights_data

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

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
Name	Description
`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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be ExportInsightsDataResponse Response for an export insights operation.

from_service_account_file

from_service_account_file(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`ContactCenterInsightsAsyncClient`	The constructed client.

from_service_account_info

from_service_account_info(info: dict, *args, **kwargs)

Creates an instance of this client using the provided credentials info.

Parameter
Name	Description
`info`	`dict` The service account private key info.

Returns
Type	Description
`ContactCenterInsightsAsyncClient`	The constructed client.

from_service_account_json

from_service_account_json(filename: str, *args, **kwargs)

Creates an instance of this client using the provided credentials file.

Parameter
Name	Description
`filename`	`str` The path to the service account private key json file.

Returns
Type	Description
`ContactCenterInsightsAsyncClient`	The constructed client.

get_analysis

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

Gets an analysis.

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.types.Analysis`	The analysis resource.

get_conversation

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

Gets a conversation.

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.types.Conversation`	The conversation resource.

get_issue

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

Gets an issue.

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.types.Issue`	The issue resource.

get_issue_model

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

Gets an issue model.

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

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

get_mtls_endpoint_and_cert_source

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

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

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

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

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

Parameter
Name	Description
`client_options`	`google.api_core.client_options.ClientOptions` Custom options for the client. Only the `api_endpoint` and `client_cert_source` properties may be used in this method.

Exceptions
Type	Description
`google.auth.exceptions.MutualTLSChannelError`	If any errors happen.

Returns
Type	Description
`Tuple[str, Callable[[], Tuple[bytes, bytes]]]`	returns the API endpoint and the client cert source to use.

get_operation

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

Gets the latest state of a long-running operation.

Parameters
Name	Description
`request`	`.operations_pb2.GetOperationRequest` The request object. Request message for `GetOperation` method.
`retry`	`google.api_core.retry_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
Type	Description
`.operations_pb2.Operation`	An `Operation` object.

get_phrase_matcher

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

Gets a phrase matcher.

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

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

get_settings

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

Gets project-level settings.

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.types.Settings`	The settings resource.

get_transport_class

get_transport_class() -> (
    typing.Type[
        google.cloud.contact_center_insights_v1.services.contact_center_insights.transports.base.ContactCenterInsightsTransport
    ]
)

Returns an appropriate transport class.

Parameter
Name	Description
`label`	`typing.Optional[str]` The name of the desired transport. If none is provided, then the first transport in the registry is used.

get_view

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

Gets a view.

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.types.View`	The View resource.

ingest_conversations

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

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

issue_model_path

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

Returns a fully-qualified issue_model string.

issue_path

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

Returns a fully-qualified issue string.

list_analyses

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesAsyncPager`	The response to list analyses. Iterating over this object will yield results and resolve additional pages automatically.

list_conversations

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsAsyncPager`	The response of listing conversations. Iterating over this object will yield results and resolve additional pages automatically.

list_issue_models

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

Lists issue models.

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

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

list_issues

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

Lists issues.

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

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

list_operations

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

Lists operations that match the specified filter in the request.

Parameters
Name	Description
`request`	`.operations_pb2.ListOperationsRequest` The request object. Request message for `ListOperations` method.
`retry`	`google.api_core.retry_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
Type	Description
`.operations_pb2.ListOperationsResponse`	Response message for `ListOperations` method.

list_phrase_matchers

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

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
Name	Description
`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
Type	Description
`google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListPhraseMatchersAsyncPager`	The response of listing phrase matchers. Iterating over this object will yield results and resolve additional pages automatically.

list_views

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

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

parse_analysis_path

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

Parses a analysis path into its component segments.

parse_common_billing_account_path

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

Parse a billing_account path into its component segments.

parse_common_folder_path

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

Parse a folder path into its component segments.

parse_common_location_path

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

Parse a location path into its component segments.

parse_common_organization_path

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

Parse a organization path into its component segments.

parse_common_project_path

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

Parse a project path into its component segments.

parse_conversation_path

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

Parses a conversation path into its component segments.

parse_conversation_profile_path

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

Parses a conversation_profile path into its component segments.

parse_issue_model_path

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

Parses a issue_model path into its component segments.

parse_issue_path

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

Parses a issue path into its component segments.

parse_participant_path

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

Parses a participant path into its component segments.

parse_phrase_matcher_path

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

Parses a phrase_matcher path into its component segments.

parse_recognizer_path

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

Parses a recognizer path into its component segments.

parse_settings_path

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

Parses a settings path into its component segments.

parse_view_path

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

Parses a view path into its component segments.

participant_path

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

Returns a fully-qualified participant string.

phrase_matcher_path

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

Returns a fully-qualified phrase_matcher string.

recognizer_path

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

Returns a fully-qualified recognizer string.

settings_path

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

Returns a fully-qualified settings string.

undeploy_issue_model

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

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
Name	Description
`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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be UndeployIssueModelResponse The response to undeploy an issue model.

update_conversation

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

Updates a conversation.

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

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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UpdateConversationRequest, dict]]` The request object. The request to update a conversation.
`conversation`	`Conversation` Required. The new values for the conversation. This corresponds to the `conversation` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_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
Type	Description
`google.cloud.contact_center_insights_v1.types.Conversation`	The conversation resource.

update_issue

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

Updates an issue.

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

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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UpdateIssueRequest, dict]]` The request object. The request to update an issue.
`issue`	`Issue` Required. The new values for the issue. This corresponds to the `issue` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_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
Type	Description
`google.cloud.contact_center_insights_v1.types.Issue`	The issue resource.

update_issue_model

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

Updates an issue model.

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

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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UpdateIssueModelRequest, dict]]` The request object. The request to update an issue model.
`issue_model`	`IssueModel` Required. The new values for the issue model. This corresponds to the `issue_model` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_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
Type	Description
`google.cloud.contact_center_insights_v1.types.IssueModel`	The issue model resource.

update_phrase_matcher

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

Updates a phrase matcher.

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

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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UpdatePhraseMatcherRequest, dict]]` The request object. The request to update a phrase matcher.
`phrase_matcher`	`PhraseMatcher` Required. The new values for the phrase matcher. This corresponds to the `phrase_matcher` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_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
Type	Description
`google.cloud.contact_center_insights_v1.types.PhraseMatcher`	The phrase matcher resource.

update_settings

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

Updates project-level settings.

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

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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UpdateSettingsRequest, dict]]` The request object. The request to update project-level settings.
`settings`	`Settings` Required. The new settings values. This corresponds to the `settings` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` Required. The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_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
Type	Description
`google.cloud.contact_center_insights_v1.types.Settings`	The settings resource.

update_view

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

Updates a view.

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

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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UpdateViewRequest, dict]]` The request object. The request to update a view.
`view`	`View` Required. The new view. This corresponds to the `view` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry_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
Type	Description
`google.cloud.contact_center_insights_v1.types.View`	The View resource.

upload_conversation

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

Create a longrunning 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
Name	Description
`request`	`Optional[Union[google.cloud.contact_center_insights_v1.types.UploadConversationRequest, dict]]` The request object. Request to upload a conversation.
`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
Type	Description
`google.api_core.operation_async.AsyncOperation`	An object representing a long-running operation. The result type for the operation will be Conversation The conversation resource.

view_path

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

Returns a fully-qualified view string.