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Showing content from https://cloud.google.com/python/docs/reference/recommender/latest/summary_class.html below:

Package Classes (2.18.2) | Python client library

Summary of entries of Classes for recommender.

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.

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.

A pager for iterating through list_insights requests.

This class thinly wraps an initial ListInsightsResponse object, and provides an __aiter__ method to iterate through its insights field.

If there are more pages, the __aiter__ method will make additional ListInsights requests and continue to iterate through the insights field on the corresponding responses.

All the usual ListInsightsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_insights requests.

This class thinly wraps an initial ListInsightsResponse object, and provides an __iter__ method to iterate through its insights field.

If there are more pages, the __iter__ method will make additional ListInsights requests and continue to iterate through the insights field on the corresponding responses.

All the usual ListInsightsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_recommendations requests.

This class thinly wraps an initial ListRecommendationsResponse object, and provides an __aiter__ method to iterate through its recommendations field.

If there are more pages, the __aiter__ method will make additional ListRecommendations requests and continue to iterate through the recommendations field on the corresponding responses.

All the usual ListRecommendationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_recommendations requests.

This class thinly wraps an initial ListRecommendationsResponse object, and provides an __iter__ method to iterate through its recommendations field.

If there are more pages, the __iter__ method will make additional ListRecommendations requests and continue to iterate through the recommendations field on the corresponding responses.

All the usual ListRecommendationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Contains metadata about how much money a recommendation can save or incur.

Request to the GetInsight method.

Request for the GetInsightTypeConfig` method.

Request to the GetRecommendation method.

Request for the GetRecommenderConfig` method.

Contains the impact a recommendation can have for a given category.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The category of the impact.

An insight along with the information used to derive the insight. The insight may have associated recommendations as well.

Insight category.

Reference to an associated recommendation.

Insight severity levels.

Information related to insight state.

Represents insight state.

The abstract base class for a message.

Configuration for an InsightType.

The abstract base class for a message.

A configuration to customize the generation of insights. Eg, customizing the lookback period considered when generating a insight.

Request for the ListInsights method.

Response to the ListInsights method.

Request for the ListRecommendations method.

Response to the ListRecommendations method.

Request for the MarkInsightAccepted method.

The abstract base class for a message.

Request for the MarkRecommendationClaimed Method.

The abstract base class for a message.

Request for the MarkRecommendationDismissed Method.

Request for the MarkRecommendationFailed Method.

The abstract base class for a message.

Request for the MarkRecommendationSucceeded Method.

The abstract base class for a message.

Contains an operation for a resource loosely based on the JSON-PATCH format with support for:

• Custom filters for describing partial array patch.
• Extended path values for describing nested arrays.
• Custom fields for describing the resource for which the operation is being described.
• Allows extension to custom operations not natively supported by RFC6902. See https://tools.ietf.org/html/rfc6902 for details on the original RFC.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The abstract base class for a message.

The abstract base class for a message.

Group of operations that need to be performed atomically.

A recommendation along with a suggested action. E.g., a rightsizing recommendation for an underutilized VM, IAM role recommendations, etc

Reference to an associated insight.

Recommendation priority levels.

Contains what resources are changing and how they are changing.

Information for state. Contains state and metadata.

Represents Recommendation State.

    ACTIVE recommendations can be marked as CLAIMED,
    SUCCEEDED, or FAILED.
CLAIMED (6):
    Recommendation is in claimed state.
    Recommendations content is immutable and cannot
    be updated by Google.

    CLAIMED recommendations can be marked as
    CLAIMED, SUCCEEDED, or FAILED.
SUCCEEDED (3):
    Recommendation is in succeeded state.
    Recommendations content is immutable and cannot
    be updated by Google.

    SUCCEEDED recommendations can be marked as
    SUCCEEDED, or FAILED.
FAILED (4):
    Recommendation is in failed state.
    Recommendations content is immutable and cannot
    be updated by Google.

    FAILED recommendations can be marked as
    SUCCEEDED, or FAILED.
DISMISSED (5):
    Recommendation is in dismissed state.
    Recommendation content can be updated by Google.

    DISMISSED recommendations can be marked as
    ACTIVE.

The abstract base class for a message.

Configuration for a Recommender.

The abstract base class for a message.

A Configuration to customize the generation of recommendations. Eg, customizing the lookback period considered when generating a recommendation.

Contains information on the impact of a reliability recommendation.

The risk associated with the reliability issue.

Contains various ways of describing the impact on Security.

Contains metadata about how much sustainability a recommendation can save or incur.

Request for the UpdateInsightTypeConfig method.

Request for the UpdateRecommenderConfig method.

Contains various matching options for values for a GCP resource field.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

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.

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.

A pager for iterating through list_insight_types requests.

This class thinly wraps an initial ListInsightTypesResponse object, and provides an __aiter__ method to iterate through its insight_types field.

If there are more pages, the __aiter__ method will make additional ListInsightTypes requests and continue to iterate through the insight_types field on the corresponding responses.

All the usual ListInsightTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_insight_types requests.

This class thinly wraps an initial ListInsightTypesResponse object, and provides an __iter__ method to iterate through its insight_types field.

If there are more pages, the __iter__ method will make additional ListInsightTypes requests and continue to iterate through the insight_types field on the corresponding responses.

All the usual ListInsightTypesResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_insights requests.

This class thinly wraps an initial ListInsightsResponse object, and provides an __aiter__ method to iterate through its insights field.

If there are more pages, the __aiter__ method will make additional ListInsights requests and continue to iterate through the insights field on the corresponding responses.

All the usual ListInsightsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_insights requests.

This class thinly wraps an initial ListInsightsResponse object, and provides an __iter__ method to iterate through its insights field.

If there are more pages, the __iter__ method will make additional ListInsights requests and continue to iterate through the insights field on the corresponding responses.

All the usual ListInsightsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_recommendations requests.

This class thinly wraps an initial ListRecommendationsResponse object, and provides an __aiter__ method to iterate through its recommendations field.

If there are more pages, the __aiter__ method will make additional ListRecommendations requests and continue to iterate through the recommendations field on the corresponding responses.

All the usual ListRecommendationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_recommendations requests.

This class thinly wraps an initial ListRecommendationsResponse object, and provides an __iter__ method to iterate through its recommendations field.

If there are more pages, the __iter__ method will make additional ListRecommendations requests and continue to iterate through the recommendations field on the corresponding responses.

All the usual ListRecommendationsResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_recommenders requests.

This class thinly wraps an initial ListRecommendersResponse object, and provides an __aiter__ method to iterate through its recommenders field.

If there are more pages, the __aiter__ method will make additional ListRecommenders requests and continue to iterate through the recommenders field on the corresponding responses.

All the usual ListRecommendersResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

A pager for iterating through list_recommenders requests.

This class thinly wraps an initial ListRecommendersResponse object, and provides an __iter__ method to iterate through its recommenders field.

If there are more pages, the __iter__ method will make additional ListRecommenders requests and continue to iterate through the recommenders field on the corresponding responses.

All the usual ListRecommendersResponse attributes are available on the pager. If multiple requests are made, only the most recent response is retained, and thus used for attribute lookup.

Contains metadata about how much money a recommendation can save or incur.

Request to the GetInsight method.

Request for the GetInsightTypeConfig` method.

Request to the GetRecommendation method.

Request for the GetRecommenderConfig` method.

Contains the impact a recommendation can have for a given category.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The category of the impact.

An insight along with the information used to derive the insight. The insight may have associated recommendations as well.

Insight category.

Reference to an associated recommendation.

Insight severity levels.

Information related to insight state.

Represents insight state.

The abstract base class for a message.

The type of insight.

Configuration for an InsightType.

The abstract base class for a message.

A configuration to customize the generation of insights. Eg, customizing the lookback period considered when generating a insight.

Request for the ListInsightTypes method.

Response for the ListInsightTypes method.

Request for the ListInsights method.

Response to the ListInsights method.

Request for the ListRecommendations method.

Response to the ListRecommendations method.

Request for the ListRecommender method.

Response for the ListRecommender method.

Request for the MarkInsightAccepted method.

The abstract base class for a message.

Request for the MarkRecommendationClaimed Method.

The abstract base class for a message.

Request for the MarkRecommendationFailed Method.

The abstract base class for a message.

Request for the MarkRecommendationSucceeded Method.

The abstract base class for a message.

Contains an operation for a resource loosely based on the JSON-PATCH format with support for:

• Custom filters for describing partial array patch.
• Extended path values for describing nested arrays.
• Custom fields for describing the resource for which the operation is being described.
• Allows extension to custom operations not natively supported by RFC6902. See https://tools.ietf.org/html/rfc6902 for details on the original RFC.

This message has oneof_ fields (mutually exclusive fields). For each oneof, at most one member field can be set at the same time. Setting any member of the oneof automatically clears all other members.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

The abstract base class for a message.

The abstract base class for a message.

Group of operations that need to be performed atomically.

A recommendation along with a suggested action. E.g., a rightsizing recommendation for an underutilized VM, IAM role recommendations, etc

Reference to an associated insight.

Recommendation priority levels.

Contains what resources are changing and how they are changing.

Information for state. Contains state and metadata.

Represents Recommendation State.

    ACTIVE recommendations can be marked as CLAIMED,
    SUCCEEDED, or FAILED.
CLAIMED (6):
    Recommendation is in claimed state.
    Recommendations content is immutable and cannot
    be updated by Google.

    CLAIMED recommendations can be marked as
    CLAIMED, SUCCEEDED, or FAILED.
SUCCEEDED (3):
    Recommendation is in succeeded state.
    Recommendations content is immutable and cannot
    be updated by Google.

    SUCCEEDED recommendations can be marked as
    SUCCEEDED, or FAILED.
FAILED (4):
    Recommendation is in failed state.
    Recommendations content is immutable and cannot
    be updated by Google.

    FAILED recommendations can be marked as
    SUCCEEDED, or FAILED.
DISMISSED (5):
    Recommendation is in dismissed state.
    Recommendation content can be updated by Google.

    DISMISSED recommendations can be marked as
    ACTIVE.

The abstract base class for a message.

Configuration for a Recommender.

The abstract base class for a message.

A Configuration to customize the generation of recommendations. Eg, customizing the lookback period considered when generating a recommendation.

The type of a recommender.

Contains various ways of describing the impact on Security.

Contains metadata about how much sustainability a recommendation can save or incur.

Request for the UpdateInsightTypeConfig method.

Request for the UpdateRecommenderConfig method.

Contains various matching options for values for a GCP resource field.

.. _oneof: https://proto-plus-python.readthedocs.io/en/stable/fields.html#oneofs-mutually-exclusive-fields

API documentation for recommender_v1.services.recommender.pagers module.

API documentation for recommender_v1beta1.services.recommender.pagers module.

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