Class ContactCenterInsightsAsyncClient (1.17.2)

ContactCenterInsightsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, 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
TypeDescription
strThe API endpoint used by the client instance.

transport

Returns the transport used by the client instance.

Returns
TypeDescription
ContactCenterInsightsTransportThe transport used by the client instance.

universe_domain

Return the universe domain used by the client instance.

Returns
TypeDescription
strThe universe domain used by the client instance.

Methods

ContactCenterInsightsAsyncClient

ContactCenterInsightsAsyncClient(*, credentials: typing.Optional[google.auth.credentials.Credentials] = None, transport: typing.Union[str, 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
NameDescription
credentials Optional[google.auth.credentials.Credentials]

The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.

transport Union[str, .ContactCenterInsightsTransport]

The transport to use. If set to None, a transport is chosen automatically.

client_options 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
TypeDescription
google.auth.exceptions.MutualTlsChannelErrorIf 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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.CalculateIssueModelStatsResponseResponse 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.CalculateStatsResponseThe 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
NameDescription
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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.ConversationThe 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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.PhraseMatcherThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.ViewThe 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
NameDescription
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
NameDescription
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
NameDescription
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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
NameDescription
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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ContactCenterInsightsAsyncClientThe 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
NameDescription
info dict

The service account private key info.

Returns
TypeDescription
ContactCenterInsightsAsyncClientThe 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
NameDescription
filename str

The path to the service account private key json file.

Returns
TypeDescription
ContactCenterInsightsAsyncClientThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.AnalysisThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.ConversationThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.IssueThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.IssueModelThe 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
NameDescription
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
TypeDescription
google.auth.exceptions.MutualTLSChannelErrorIf any errors happen.
Returns
TypeDescription
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
NameDescription
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
TypeDescription
.operations_pb2.OperationAn 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.PhraseMatcherThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.SettingsThe 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
NameDescription
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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.types.ViewThe 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
NameDescription
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
TypeDescription
google.api_core.operation_async.AsyncOperationAn 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListAnalysesAsyncPagerThe 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
NameDescription
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
TypeDescription
google.cloud.contact_center_insights_v1.services.contact_center_insights.pagers.ListConversationsAsyncPagerThe 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)
Param