Class RecommenderClient (2.10.0)

RecommenderClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.recommender_v1beta1.services.recommender.transports.base.RecommenderTransport]] = None, client_options: Optional[Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Provides insights and recommendations for cloud customers for various categories like performance optimization, cost savings, reliability, feature discovery, etc. Insights and recommendations are generated automatically based on analysis of user resources, configuration and monitoring metrics.

Properties

transport

Returns the transport used by the client instance.

Returns

Type	Description
`RecommenderTransport`	The transport used by the client instance.

Methods

RecommenderClient

RecommenderClient(*, credentials: Optional[google.auth.credentials.Credentials] = None, transport: Optional[Union[str, google.cloud.recommender_v1beta1.services.recommender.transports.base.RecommenderTransport]] = None, client_options: Optional[Union[google.api_core.client_options.ClientOptions, dict]] = None, client_info: google.api_core.gapic_v1.client_info.ClientInfo = <google.api_core.gapic_v1.client_info.ClientInfo object>)

Instantiates the recommender client.

Parameters

Name	Description
`credentials`	`Optional[google.auth.credentials.Credentials]` The authorization credentials to attach to requests. These credentials identify the application to the service; if none are specified, the client will attempt to ascertain the credentials from the environment.
`transport`	`Union[str, RecommenderTransport]` 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. It won't take effect if a `transport` instance is provided. (1) The `api_endpoint` property can be used to override the default endpoint provided by the client. GOOGLE_API_USE_MTLS_ENDPOINT environment variable can also be used to override the endpoint: "always" (always use the default mTLS endpoint), "never" (always use the default regular endpoint) and "auto" (auto switch to the default mTLS endpoint if client certificate is present, this is the default value). However, the `api_endpoint` property takes precedence if provided. (2) If GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "true", then the `client_cert_source` property can be used to provide client certificate for mutual TLS transport. If not provided, the default SSL client certificate will be used if present. If GOOGLE_API_USE_CLIENT_CERTIFICATE is "false" or not set, no client certificate will be used.
`client_info`	`google.api_core.gapic_v1.client_info.ClientInfo` The client info used to send a user-agent string along with API requests. If `None`, then default info will be used. Generally, you only need to set this if you're developing your own client library.

Exceptions

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

exit

__exit__(type, value, traceback)

Releases underlying transport's resources.

common_billing_account_path

common_billing_account_path(billing_account: str)

Returns a fully-qualified billing_account string.

common_folder_path

common_folder_path(folder: str)

Returns a fully-qualified folder string.

common_location_path

common_location_path(project: str, location: str)

Returns a fully-qualified location string.

common_organization_path

common_organization_path(organization: str)

Returns a fully-qualified organization string.

common_project_path

common_project_path(project: str)

Returns a fully-qualified project string.

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
`RecommenderClient`	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
`RecommenderClient`	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
`RecommenderClient`	The constructed client.

get_insight

get_insight(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.GetInsightRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Gets the requested insight. Requires the recommender.*.get IAM permission for the specified insight type.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_get_insight():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.GetInsightRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.GetInsightRequest, dict]` The request object. Request to the `GetInsight` method.
`name`	`str` Required. Name of the insight. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.Insight`	An insight along with the information used to derive the insight. The insight may have associated recomendations as well.

get_insight_type_config

get_insight_type_config(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.GetInsightTypeConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Gets the requested InsightTypeConfig. There is only one instance of the config for each InsightType.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_get_insight_type_config():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.GetInsightTypeConfigRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.GetInsightTypeConfigRequest, dict]` The request object. Request for the GetInsightTypeConfig` method.
`name`	`str` Required. Name of the InsightTypeConfig to get. Acceptable formats: - `projects/[PROJECT_NUMBER]/locations/global/recommenders/[INSIGHT_TYPE_ID]/config` - `projects/[PROJECT_ID]/locations/global/recommenders/[INSIGHT_TYPE_ID]/config` - `organizations/[ORGANIZATION_ID]/locations/global/recommenders/[INSIGHT_TYPE_ID]/config` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.InsightTypeConfig`	Configuration for an InsightType.

get_mtls_endpoint_and_cert_source

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

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

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

The API endpoint is determined in the following order: (1) if client_options.api_endpoint if provided, use the provided one. (2) if GOOGLE_API_USE_CLIENT_CERTIFICATE environment variable is "always", use the default mTLS endpoint; if the environment 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_recommendation

get_recommendation(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.GetRecommendationRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Gets the requested recommendation. Requires the recommender.*.get IAM permission for the specified recommender.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_get_recommendation():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.GetRecommendationRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.GetRecommendationRequest, dict]` The request object. Request to the `GetRecommendation` method.
`name`	`str` Required. Name of the recommendation. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.Recommendation`	A recommendation along with a suggested action. E.g., a rightsizing recommendation for an underutilized VM, IAM role recommendations, etc

get_recommender_config

get_recommender_config(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.GetRecommenderConfigRequest, dict]] = None, *, name: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Gets the requested Recommender Config. There is only one instance of the config for each Recommender.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_get_recommender_config():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.GetRecommenderConfigRequest(
        name="name_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.GetRecommenderConfigRequest, dict]` The request object. Request for the GetRecommenderConfig` method.
`name`	`str` Required. Name of the Recommendation Config to get. Acceptable formats: - `projects/[PROJECT_NUMBER]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]/config` - `projects/[PROJECT_ID]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]/config` - `organizations/[ORGANIZATION_ID]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]/config` This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.RecommenderConfig`	Configuration for a Recommender.

insight_path

insight_path(project: str, location: str, insight_type: str, insight: str)

Returns a fully-qualified insight string.

insight_type_config_path

insight_type_config_path(project: str, location: str, insight_type: str)

Returns a fully-qualified insight_type_config string.

insight_type_path

insight_type_path(project: str, location: str, insight_type: str)

Returns a fully-qualified insight_type string.

list_insights

list_insights(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.ListInsightsRequest, dict]] = None, *, parent: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Lists insights for the specified Cloud Resource. Requires the recommender.*.list IAM permission for the specified insight type.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_list_insights():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.ListInsightsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.ListInsightsRequest, dict]` The request object. Request for the `ListInsights` method.
`parent`	`str` Required. The container resource on which to execute the request. Acceptable formats: - `projects/[PROJECT_NUMBER]/locations/[LOCATION]/insightTypes/[INSIGHT_TYPE_ID]` - `projects/[PROJECT_ID]/locations/[LOCATION]/insightTypes/[INSIGHT_TYPE_ID]` - `billingAccounts/[BILLING_ACCOUNT_ID]/locations/[LOCATION]/insightTypes/[INSIGHT_TYPE_ID]` - `folders/[FOLDER_ID]/locations/[LOCATION]/insightTypes/[INSIGHT_TYPE_ID]` - `organizations/[ORGANIZATION_ID]/locations/[LOCATION]/insightTypes/[INSIGHT_TYPE_ID]` LOCATION here refers to GCP Locations: https://cloud.google.com/about/locations/ INSIGHT_TYPE_ID refers to supported insight types: https://cloud.google.com/recommender/docs/insights/insight-types. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.services.recommender.pagers.ListInsightsPager`	Response to the ListInsights method. Iterating over this object will yield results and resolve additional pages automatically.

list_recommendations

list_recommendations(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.ListRecommendationsRequest, dict]] = None, *, parent: Optional[str] = None, filter: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Lists recommendations for the specified Cloud Resource. Requires the recommender.*.list IAM permission for the specified recommender.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_list_recommendations():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.ListRecommendationsRequest(
        parent="parent_value",
    )

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

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

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.ListRecommendationsRequest, dict]` The request object. Request for the `ListRecommendations` method.
`parent`	`str` Required. The container resource on which to execute the request. Acceptable formats: - `projects/[PROJECT_NUMBER]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]` - `projects/[PROJECT_ID]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]` - `billingAccounts/[BILLING_ACCOUNT_ID]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]` - `folders/[FOLDER_ID]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]` - `organizations/[ORGANIZATION_ID]/locations/[LOCATION]/recommenders/[RECOMMENDER_ID]` LOCATION here refers to GCP Locations: https://cloud.google.com/about/locations/ RECOMMENDER_ID refers to supported recommenders: https://cloud.google.com/recommender/docs/recommenders. This corresponds to the `parent` field on the `request` instance; if `request` is provided, this should not be set.
`filter`	`str` Filter expression to restrict the recommendations returned. Supported filter fields: - `state_info.state` - `recommenderSubtype` - `priority` Examples: - `stateInfo.state = ACTIVE OR stateInfo.state = DISMISSED` - `recommenderSubtype = REMOVE_ROLE OR recommenderSubtype = REPLACE_ROLE` - `priority = P1 OR priority = P2` - `stateInfo.state = ACTIVE AND (priority = P1 OR priority = P2)` (These expressions are based on the filter language described at https://google.aip.dev/160) This corresponds to the `filter` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.services.recommender.pagers.ListRecommendationsPager`	Response to the ListRecommendations method. Iterating over this object will yield results and resolve additional pages automatically.

mark_insight_accepted

mark_insight_accepted(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.MarkInsightAcceptedRequest, dict]] = None, *, name: Optional[str] = None, state_metadata: Optional[MutableMapping[str, str]] = None, etag: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Marks the Insight State as Accepted. Users can use this method to indicate to the Recommender API that they have applied some action based on the insight. This stops the insight content from being updated.

MarkInsightAccepted can be applied to insights in ACTIVE state. Requires the recommender.*.update IAM permission for the specified insight.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_mark_insight_accepted():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.MarkInsightAcceptedRequest(
        name="name_value",
        etag="etag_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.MarkInsightAcceptedRequest, dict]` The request object. Request for the `MarkInsightAccepted` method.
`name`	`str` Required. Name of the insight. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`state_metadata`	`MutableMapping[str, str]` Optional. State properties user wish to include with this state. Full replace of the current state_metadata. This corresponds to the `state_metadata` field on the `request` instance; if `request` is provided, this should not be set.
`etag`	`str` Required. Fingerprint of the Insight. Provides optimistic locking. This corresponds to the `etag` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.Insight`	An insight along with the information used to derive the insight. The insight may have associated recomendations as well.

mark_recommendation_claimed

mark_recommendation_claimed(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.MarkRecommendationClaimedRequest, dict]] = None, *, name: Optional[str] = None, state_metadata: Optional[MutableMapping[str, str]] = None, etag: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Marks the Recommendation State as Claimed. Users can use this method to indicate to the Recommender API that they are starting to apply the recommendation themselves. This stops the recommendation content from being updated. Associated insights are frozen and placed in the ACCEPTED state.

MarkRecommendationClaimed can be applied to recommendations in CLAIMED or ACTIVE state.

Requires the recommender.*.update IAM permission for the specified recommender.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_mark_recommendation_claimed():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.MarkRecommendationClaimedRequest(
        name="name_value",
        etag="etag_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.MarkRecommendationClaimedRequest, dict]` The request object. Request for the `MarkRecommendationClaimed` Method.
`name`	`str` Required. Name of the recommendation. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`state_metadata`	`MutableMapping[str, str]` State properties to include with this state. Overwrites any existing `state_metadata`. Keys must match the regex `/^`a-z0-9][a-z0-9_.-]`{0,62}$/`. Values must match the regex `/^[a-zA-Z0-9_./-]{0,255}$/`. This corresponds to the `state_metadata` field on the `request` instance; if `request` is provided, this should not be set.
`etag`	`str` Required. Fingerprint of the Recommendation. Provides optimistic locking. This corresponds to the `etag` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.Recommendation`	A recommendation along with a suggested action. E.g., a rightsizing recommendation for an underutilized VM, IAM role recommendations, etc

mark_recommendation_failed

mark_recommendation_failed(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.MarkRecommendationFailedRequest, dict]] = None, *, name: Optional[str] = None, state_metadata: Optional[MutableMapping[str, str]] = None, etag: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Marks the Recommendation State as Failed. Users can use this method to indicate to the Recommender API that they have applied the recommendation themselves, and the operation failed. This stops the recommendation content from being updated. Associated insights are frozen and placed in the ACCEPTED state.

MarkRecommendationFailed can be applied to recommendations in ACTIVE, CLAIMED, SUCCEEDED, or FAILED state.

Requires the recommender.*.update IAM permission for the specified recommender.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_mark_recommendation_failed():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.MarkRecommendationFailedRequest(
        name="name_value",
        etag="etag_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.MarkRecommendationFailedRequest, dict]` The request object. Request for the `MarkRecommendationFailed` Method.
`name`	`str` Required. Name of the recommendation. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`state_metadata`	`MutableMapping[str, str]` State properties to include with this state. Overwrites any existing `state_metadata`. Keys must match the regex `/^`a-z0-9][a-z0-9_.-]`{0,62}$/`. Values must match the regex `/^[a-zA-Z0-9_./-]{0,255}$/`. This corresponds to the `state_metadata` field on the `request` instance; if `request` is provided, this should not be set.
`etag`	`str` Required. Fingerprint of the Recommendation. Provides optimistic locking. This corresponds to the `etag` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.Recommendation`	A recommendation along with a suggested action. E.g., a rightsizing recommendation for an underutilized VM, IAM role recommendations, etc

mark_recommendation_succeeded

mark_recommendation_succeeded(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.MarkRecommendationSucceededRequest, dict]] = None, *, name: Optional[str] = None, state_metadata: Optional[MutableMapping[str, str]] = None, etag: Optional[str] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Marks the Recommendation State as Succeeded. Users can use this method to indicate to the Recommender API that they have applied the recommendation themselves, and the operation was successful. This stops the recommendation content from being updated. Associated insights are frozen and placed in the ACCEPTED state.

MarkRecommendationSucceeded can be applied to recommendations in ACTIVE, CLAIMED, SUCCEEDED, or FAILED state.

Requires the recommender.*.update IAM permission for the specified recommender.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_mark_recommendation_succeeded():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.MarkRecommendationSucceededRequest(
        name="name_value",
        etag="etag_value",
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.MarkRecommendationSucceededRequest, dict]` The request object. Request for the `MarkRecommendationSucceeded` Method.
`name`	`str` Required. Name of the recommendation. This corresponds to the `name` field on the `request` instance; if `request` is provided, this should not be set.
`state_metadata`	`MutableMapping[str, str]` State properties to include with this state. Overwrites any existing `state_metadata`. Keys must match the regex `/^`a-z0-9][a-z0-9_.-]`{0,62}$/`. Values must match the regex `/^[a-zA-Z0-9_./-]{0,255}$/`. This corresponds to the `state_metadata` field on the `request` instance; if `request` is provided, this should not be set.
`etag`	`str` Required. Fingerprint of the Recommendation. Provides optimistic locking. This corresponds to the `etag` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.Recommendation`	A recommendation along with a suggested action. E.g., a rightsizing recommendation for an underutilized VM, IAM role recommendations, etc

parse_common_billing_account_path

parse_common_billing_account_path(path: str)

Parse a billing_account path into its component segments.

parse_common_folder_path

parse_common_folder_path(path: str)

Parse a folder path into its component segments.

parse_common_location_path

parse_common_location_path(path: str)

Parse a location path into its component segments.

parse_common_organization_path

parse_common_organization_path(path: str)

Parse a organization path into its component segments.

parse_common_project_path

parse_common_project_path(path: str)

Parse a project path into its component segments.

parse_insight_path

parse_insight_path(path: str)

Parses a insight path into its component segments.

parse_insight_type_config_path

parse_insight_type_config_path(path: str)

Parses a insight_type_config path into its component segments.

parse_insight_type_path

parse_insight_type_path(path: str)

Parses a insight_type path into its component segments.

parse_recommendation_path

parse_recommendation_path(path: str)

Parses a recommendation path into its component segments.

parse_recommender_config_path

parse_recommender_config_path(path: str)

Parses a recommender_config path into its component segments.

parse_recommender_path

parse_recommender_path(path: str)

Parses a recommender path into its component segments.

recommendation_path

recommendation_path(
    project: str, location: str, recommender: str, recommendation: str
)

Returns a fully-qualified recommendation string.

recommender_config_path

recommender_config_path(project: str, location: str, recommender: str)

Returns a fully-qualified recommender_config string.

recommender_path

recommender_path(project: str, location: str, recommender: str)

Returns a fully-qualified recommender string.

update_insight_type_config

update_insight_type_config(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.UpdateInsightTypeConfigRequest, dict]] = None, *, insight_type_config: Optional[google.cloud.recommender_v1beta1.types.insight_type_config.InsightTypeConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Updates an InsightTypeConfig change. This will create a new revision of the config.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_update_insight_type_config():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.UpdateInsightTypeConfigRequest(
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.UpdateInsightTypeConfigRequest, dict]` The request object. Request for the `UpdateInsightTypeConfig` method.
`insight_type_config`	`google.cloud.recommender_v1beta1.types.InsightTypeConfig` Required. The InsightTypeConfig to update. This corresponds to the `insight_type_config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.InsightTypeConfig`	Configuration for an InsightType.

update_recommender_config

update_recommender_config(request: Optional[Union[google.cloud.recommender_v1beta1.types.recommender_service.UpdateRecommenderConfigRequest, dict]] = None, *, recommender_config: Optional[google.cloud.recommender_v1beta1.types.recommender_config.RecommenderConfig] = None, update_mask: Optional[google.protobuf.field_mask_pb2.FieldMask] = None, retry: Union[google.api_core.retry.Retry, google.api_core.gapic_v1.method._MethodDefault] = <_MethodDefault._DEFAULT_VALUE: <object object>>, timeout: Union[float, object] = <_MethodDefault._DEFAULT_VALUE: <object object>>, metadata: Sequence[Tuple[str, str]] = ())

Updates a Recommender Config. This will create a new revision of the config.

# This snippet has been automatically generated and should be regarded as a
# code template only.
# It will require modifications to work:
# - It may require correct/in-range values for request initialization.
# - It may require specifying regional endpoints when creating the service
#   client as shown in:
#   https://googleapis.dev/python/google-api-core/latest/client_options.html
from google.cloud import recommender_v1beta1

def sample_update_recommender_config():
    # Create a client
    client = recommender_v1beta1.RecommenderClient()

    # Initialize request argument(s)
    request = recommender_v1beta1.UpdateRecommenderConfigRequest(
    )

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

    # Handle the response
    print(response)

Parameters

Name	Description
`request`	`Union[google.cloud.recommender_v1beta1.types.UpdateRecommenderConfigRequest, dict]` The request object. Request for the `UpdateRecommenderConfig` method.
`recommender_config`	`google.cloud.recommender_v1beta1.types.RecommenderConfig` Required. The RecommenderConfig to update. This corresponds to the `recommender_config` field on the `request` instance; if `request` is provided, this should not be set.
`update_mask`	`google.protobuf.field_mask_pb2.FieldMask` The list of fields to be updated. This corresponds to the `update_mask` field on the `request` instance; if `request` is provided, this should not be set.
`retry`	`google.api_core.retry.Retry` Designation of what errors, if any, should be retried.
`timeout`	`float` The timeout for this request.
`metadata`	`Sequence[Tuple[str, str]]` Strings which should be sent along with the request as metadata.

Returns

Type	Description
`google.cloud.recommender_v1beta1.types.RecommenderConfig`	Configuration for a Recommender.