zz_alertpolicy_types.go

// SPDX-FileCopyrightText: 2024 The Crossplane Authors <https://crossplane.io>
//
// SPDX-License-Identifier: Apache-2.0

// Code generated by upjet. DO NOT EDIT.

package v1beta1

import (
	metav1 "k8s.io/apimachinery/pkg/apis/meta/v1"
	"k8s.io/apimachinery/pkg/runtime/schema"

	v1 "github.com/crossplane/crossplane-runtime/apis/common/v1"
)

type AggregationsInitParameters struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type AggregationsObservation struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type AggregationsParameters struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	// +kubebuilder:validation:Optional
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	// +kubebuilder:validation:Optional
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	// +kubebuilder:validation:Optional
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	// +kubebuilder:validation:Optional
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type AlertPolicyInitParameters struct {

	// Control over how this alert policy's notification channels are notified.
	// Structure is documented below.
	AlertStrategy []AlertStrategyInitParameters `json:"alertStrategy,omitempty" tf:"alert_strategy,omitempty"`

	// How to combine the results of multiple conditions to
	// determine if an incident should be opened.
	// Possible values are: AND, OR, AND_WITH_MATCHING_RESOURCE.
	Combiner *string `json:"combiner,omitempty" tf:"combiner,omitempty"`

	// A list of conditions for the policy. The conditions are combined by
	// AND or OR according to the combiner field. If the combined conditions
	// evaluate to true, then an incident is created. A policy can have from
	// one to six conditions.
	// Structure is documented below.
	Conditions []ConditionsInitParameters `json:"conditions,omitempty" tf:"conditions,omitempty"`

	// A short name or phrase used to identify the policy in
	// dashboards, notifications, and incidents. To avoid confusion, don't use
	// the same display name for multiple policies in the same project. The
	// name is limited to 512 Unicode characters.
	DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`

	// Documentation that is included with notifications and incidents related
	// to this policy. Best practice is for the documentation to include information
	// to help responders understand, mitigate, escalate, and correct the underlying
	// problems detected by the alerting policy. Notification channels that have
	// limited capacity might not show this documentation.
	// Structure is documented below.
	Documentation []DocumentationInitParameters `json:"documentation,omitempty" tf:"documentation,omitempty"`

	// Whether or not the policy is enabled. The default is true.
	Enabled *bool `json:"enabled,omitempty" tf:"enabled,omitempty"`

	// Identifies the notification channels to which notifications should be
	// sent when incidents are opened or closed or when new violations occur
	// on an already opened incident. Each element of this array corresponds
	// to the name field in each of the NotificationChannel objects that are
	// returned from the notificationChannels.list method. The syntax of the
	// entries in this field is
	// projects/[PROJECT_ID]/notificationChannels/[CHANNEL_ID]
	NotificationChannels []*string `json:"notificationChannels,omitempty" tf:"notification_channels,omitempty"`

	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project *string `json:"project,omitempty" tf:"project,omitempty"`

	// The severity of an alert policy indicates how important incidents generated
	// by that policy are. The severity level will be displayed on the Incident
	// detail page and in notifications.
	// Possible values are: CRITICAL, ERROR, WARNING.
	Severity *string `json:"severity,omitempty" tf:"severity,omitempty"`

	// This field is intended to be used for organizing and identifying the AlertPolicy
	// objects.The field can contain up to 64 entries. Each key and value is limited
	// to 63 Unicode characters or 128 bytes, whichever is smaller. Labels and values
	// can contain only lowercase letters, numerals, underscores, and dashes. Keys
	// must begin with a letter.
	// +mapType=granular
	UserLabels map[string]*string `json:"userLabels,omitempty" tf:"user_labels,omitempty"`
}

type AlertPolicyObservation struct {

	// Control over how this alert policy's notification channels are notified.
	// Structure is documented below.
	AlertStrategy []AlertStrategyObservation `json:"alertStrategy,omitempty" tf:"alert_strategy,omitempty"`

	// How to combine the results of multiple conditions to
	// determine if an incident should be opened.
	// Possible values are: AND, OR, AND_WITH_MATCHING_RESOURCE.
	Combiner *string `json:"combiner,omitempty" tf:"combiner,omitempty"`

	// A list of conditions for the policy. The conditions are combined by
	// AND or OR according to the combiner field. If the combined conditions
	// evaluate to true, then an incident is created. A policy can have from
	// one to six conditions.
	// Structure is documented below.
	Conditions []ConditionsObservation `json:"conditions,omitempty" tf:"conditions,omitempty"`

	// A read-only record of the creation of the alerting policy.
	// If provided in a call to create or update, this field will
	// be ignored.
	// Structure is documented below.
	CreationRecord []CreationRecordObservation `json:"creationRecord,omitempty" tf:"creation_record,omitempty"`

	// A short name or phrase used to identify the policy in
	// dashboards, notifications, and incidents. To avoid confusion, don't use
	// the same display name for multiple policies in the same project. The
	// name is limited to 512 Unicode characters.
	DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`

	// Documentation that is included with notifications and incidents related
	// to this policy. Best practice is for the documentation to include information
	// to help responders understand, mitigate, escalate, and correct the underlying
	// problems detected by the alerting policy. Notification channels that have
	// limited capacity might not show this documentation.
	// Structure is documented below.
	Documentation []DocumentationObservation `json:"documentation,omitempty" tf:"documentation,omitempty"`

	// Whether or not the policy is enabled. The default is true.
	Enabled *bool `json:"enabled,omitempty" tf:"enabled,omitempty"`

	// an identifier for the resource with format {{name}}
	ID *string `json:"id,omitempty" tf:"id,omitempty"`

	// The unique resource name for this policy.
	// Its syntax is: projects/[PROJECT_ID]/alertPolicies/[ALERT_POLICY_ID]
	Name *string `json:"name,omitempty" tf:"name,omitempty"`

	// Identifies the notification channels to which notifications should be
	// sent when incidents are opened or closed or when new violations occur
	// on an already opened incident. Each element of this array corresponds
	// to the name field in each of the NotificationChannel objects that are
	// returned from the notificationChannels.list method. The syntax of the
	// entries in this field is
	// projects/[PROJECT_ID]/notificationChannels/[CHANNEL_ID]
	NotificationChannels []*string `json:"notificationChannels,omitempty" tf:"notification_channels,omitempty"`

	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	Project *string `json:"project,omitempty" tf:"project,omitempty"`

	// The severity of an alert policy indicates how important incidents generated
	// by that policy are. The severity level will be displayed on the Incident
	// detail page and in notifications.
	// Possible values are: CRITICAL, ERROR, WARNING.
	Severity *string `json:"severity,omitempty" tf:"severity,omitempty"`

	// This field is intended to be used for organizing and identifying the AlertPolicy
	// objects.The field can contain up to 64 entries. Each key and value is limited
	// to 63 Unicode characters or 128 bytes, whichever is smaller. Labels and values
	// can contain only lowercase letters, numerals, underscores, and dashes. Keys
	// must begin with a letter.
	// +mapType=granular
	UserLabels map[string]*string `json:"userLabels,omitempty" tf:"user_labels,omitempty"`
}

type AlertPolicyParameters struct {

	// Control over how this alert policy's notification channels are notified.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	AlertStrategy []AlertStrategyParameters `json:"alertStrategy,omitempty" tf:"alert_strategy,omitempty"`

	// How to combine the results of multiple conditions to
	// determine if an incident should be opened.
	// Possible values are: AND, OR, AND_WITH_MATCHING_RESOURCE.
	// +kubebuilder:validation:Optional
	Combiner *string `json:"combiner,omitempty" tf:"combiner,omitempty"`

	// A list of conditions for the policy. The conditions are combined by
	// AND or OR according to the combiner field. If the combined conditions
	// evaluate to true, then an incident is created. A policy can have from
	// one to six conditions.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Conditions []ConditionsParameters `json:"conditions,omitempty" tf:"conditions,omitempty"`

	// A short name or phrase used to identify the policy in
	// dashboards, notifications, and incidents. To avoid confusion, don't use
	// the same display name for multiple policies in the same project. The
	// name is limited to 512 Unicode characters.
	// +kubebuilder:validation:Optional
	DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`

	// Documentation that is included with notifications and incidents related
	// to this policy. Best practice is for the documentation to include information
	// to help responders understand, mitigate, escalate, and correct the underlying
	// problems detected by the alerting policy. Notification channels that have
	// limited capacity might not show this documentation.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Documentation []DocumentationParameters `json:"documentation,omitempty" tf:"documentation,omitempty"`

	// Whether or not the policy is enabled. The default is true.
	// +kubebuilder:validation:Optional
	Enabled *bool `json:"enabled,omitempty" tf:"enabled,omitempty"`

	// Identifies the notification channels to which notifications should be
	// sent when incidents are opened or closed or when new violations occur
	// on an already opened incident. Each element of this array corresponds
	// to the name field in each of the NotificationChannel objects that are
	// returned from the notificationChannels.list method. The syntax of the
	// entries in this field is
	// projects/[PROJECT_ID]/notificationChannels/[CHANNEL_ID]
	// +kubebuilder:validation:Optional
	NotificationChannels []*string `json:"notificationChannels,omitempty" tf:"notification_channels,omitempty"`

	// The ID of the project in which the resource belongs.
	// If it is not provided, the provider project is used.
	// +kubebuilder:validation:Optional
	Project *string `json:"project,omitempty" tf:"project,omitempty"`

	// The severity of an alert policy indicates how important incidents generated
	// by that policy are. The severity level will be displayed on the Incident
	// detail page and in notifications.
	// Possible values are: CRITICAL, ERROR, WARNING.
	// +kubebuilder:validation:Optional
	Severity *string `json:"severity,omitempty" tf:"severity,omitempty"`

	// This field is intended to be used for organizing and identifying the AlertPolicy
	// objects.The field can contain up to 64 entries. Each key and value is limited
	// to 63 Unicode characters or 128 bytes, whichever is smaller. Labels and values
	// can contain only lowercase letters, numerals, underscores, and dashes. Keys
	// must begin with a letter.
	// +kubebuilder:validation:Optional
	// +mapType=granular
	UserLabels map[string]*string `json:"userLabels,omitempty" tf:"user_labels,omitempty"`
}

type AlertStrategyInitParameters struct {

	// If an alert policy that was active has no data for this long, any open incidents will close.
	AutoClose *string `json:"autoClose,omitempty" tf:"auto_close,omitempty"`

	// Control over how the notification channels in notification_channels
	// are notified when this alert fires, on a per-channel basis.
	// Structure is documented below.
	NotificationChannelStrategy []NotificationChannelStrategyInitParameters `json:"notificationChannelStrategy,omitempty" tf:"notification_channel_strategy,omitempty"`

	// Required for alert policies with a LogMatch condition.
	// This limit is not implemented for alert policies that are not log-based.
	// Structure is documented below.
	NotificationRateLimit []NotificationRateLimitInitParameters `json:"notificationRateLimit,omitempty" tf:"notification_rate_limit,omitempty"`
}

type AlertStrategyObservation struct {

	// If an alert policy that was active has no data for this long, any open incidents will close.
	AutoClose *string `json:"autoClose,omitempty" tf:"auto_close,omitempty"`

	// Control over how the notification channels in notification_channels
	// are notified when this alert fires, on a per-channel basis.
	// Structure is documented below.
	NotificationChannelStrategy []NotificationChannelStrategyObservation `json:"notificationChannelStrategy,omitempty" tf:"notification_channel_strategy,omitempty"`

	// Required for alert policies with a LogMatch condition.
	// This limit is not implemented for alert policies that are not log-based.
	// Structure is documented below.
	NotificationRateLimit []NotificationRateLimitObservation `json:"notificationRateLimit,omitempty" tf:"notification_rate_limit,omitempty"`
}

type AlertStrategyParameters struct {

	// If an alert policy that was active has no data for this long, any open incidents will close.
	// +kubebuilder:validation:Optional
	AutoClose *string `json:"autoClose,omitempty" tf:"auto_close,omitempty"`

	// Control over how the notification channels in notification_channels
	// are notified when this alert fires, on a per-channel basis.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	NotificationChannelStrategy []NotificationChannelStrategyParameters `json:"notificationChannelStrategy,omitempty" tf:"notification_channel_strategy,omitempty"`

	// Required for alert policies with a LogMatch condition.
	// This limit is not implemented for alert policies that are not log-based.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	NotificationRateLimit []NotificationRateLimitParameters `json:"notificationRateLimit,omitempty" tf:"notification_rate_limit,omitempty"`
}

type ConditionAbsentInitParameters struct {

	// Specifies the alignment of data points in
	// individual time series as well as how to
	// combine the retrieved time series together
	// (such as when aggregating multiple streams
	// on each resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).
	// Multiple aggregations are applied in the
	// order specified.This field is similar to the
	// one in the MetricService.ListTimeSeries
	// request. It is advisable to use the
	// ListTimeSeries method when debugging this
	// field.
	// Structure is documented below.
	Aggregations []AggregationsInitParameters `json:"aggregations,omitempty" tf:"aggregations,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	Trigger []TriggerInitParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionAbsentObservation struct {

	// Specifies the alignment of data points in
	// individual time series as well as how to
	// combine the retrieved time series together
	// (such as when aggregating multiple streams
	// on each resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).
	// Multiple aggregations are applied in the
	// order specified.This field is similar to the
	// one in the MetricService.ListTimeSeries
	// request. It is advisable to use the
	// ListTimeSeries method when debugging this
	// field.
	// Structure is documented below.
	Aggregations []AggregationsObservation `json:"aggregations,omitempty" tf:"aggregations,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	Trigger []TriggerObservation `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionAbsentParameters struct {

	// Specifies the alignment of data points in
	// individual time series as well as how to
	// combine the retrieved time series together
	// (such as when aggregating multiple streams
	// on each resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).
	// Multiple aggregations are applied in the
	// order specified.This field is similar to the
	// one in the MetricService.ListTimeSeries
	// request. It is advisable to use the
	// ListTimeSeries method when debugging this
	// field.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Aggregations []AggregationsParameters `json:"aggregations,omitempty" tf:"aggregations,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	// +kubebuilder:validation:Optional
	Duration *string `json:"duration" tf:"duration,omitempty"`

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	// +kubebuilder:validation:Optional
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Trigger []TriggerParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionMatchedLogInitParameters struct {

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// A map from a label key to an extractor expression, which is used to
	// extract the value for this label key. Each entry in this map is
	// a specification for how data should be extracted from log entries that
	// match filter. Each combination of extracted values is treated as
	// a separate rule for the purposes of triggering notifications.
	// Label keys and corresponding values can be used in notifications
	// generated by this condition.
	// +mapType=granular
	LabelExtractors map[string]*string `json:"labelExtractors,omitempty" tf:"label_extractors,omitempty"`
}

type ConditionMatchedLogObservation struct {

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// A map from a label key to an extractor expression, which is used to
	// extract the value for this label key. Each entry in this map is
	// a specification for how data should be extracted from log entries that
	// match filter. Each combination of extracted values is treated as
	// a separate rule for the purposes of triggering notifications.
	// Label keys and corresponding values can be used in notifications
	// generated by this condition.
	// +mapType=granular
	LabelExtractors map[string]*string `json:"labelExtractors,omitempty" tf:"label_extractors,omitempty"`
}

type ConditionMatchedLogParameters struct {

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	// +kubebuilder:validation:Optional
	Filter *string `json:"filter" tf:"filter,omitempty"`

	// A map from a label key to an extractor expression, which is used to
	// extract the value for this label key. Each entry in this map is
	// a specification for how data should be extracted from log entries that
	// match filter. Each combination of extracted values is treated as
	// a separate rule for the purposes of triggering notifications.
	// Label keys and corresponding values can be used in notifications
	// generated by this condition.
	// +kubebuilder:validation:Optional
	// +mapType=granular
	LabelExtractors map[string]*string `json:"labelExtractors,omitempty" tf:"label_extractors,omitempty"`
}

type ConditionMonitoringQueryLanguageInitParameters struct {

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// A condition control that determines how
	// metric-threshold conditions are evaluated when
	// data stops arriving.
	// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
	EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`

	// The PromQL expression to evaluate. Every evaluation cycle this
	// expression is evaluated at the current time, and all resultant time
	// series become pending/firing alerts. This field must not be empty.
	Query *string `json:"query,omitempty" tf:"query,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	Trigger []ConditionMonitoringQueryLanguageTriggerInitParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionMonitoringQueryLanguageObservation struct {

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// A condition control that determines how
	// metric-threshold conditions are evaluated when
	// data stops arriving.
	// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
	EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`

	// The PromQL expression to evaluate. Every evaluation cycle this
	// expression is evaluated at the current time, and all resultant time
	// series become pending/firing alerts. This field must not be empty.
	Query *string `json:"query,omitempty" tf:"query,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	Trigger []ConditionMonitoringQueryLanguageTriggerObservation `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionMonitoringQueryLanguageParameters struct {

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	// +kubebuilder:validation:Optional
	Duration *string `json:"duration" tf:"duration,omitempty"`

	// A condition control that determines how
	// metric-threshold conditions are evaluated when
	// data stops arriving.
	// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
	// +kubebuilder:validation:Optional
	EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`

	// The PromQL expression to evaluate. Every evaluation cycle this
	// expression is evaluated at the current time, and all resultant time
	// series become pending/firing alerts. This field must not be empty.
	// +kubebuilder:validation:Optional
	Query *string `json:"query" tf:"query,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Trigger []ConditionMonitoringQueryLanguageTriggerParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionMonitoringQueryLanguageTriggerInitParameters struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type ConditionMonitoringQueryLanguageTriggerObservation struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type ConditionMonitoringQueryLanguageTriggerParameters struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	// +kubebuilder:validation:Optional
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	// +kubebuilder:validation:Optional
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type ConditionPrometheusQueryLanguageInitParameters struct {

	// The alerting rule name of this alert in the corresponding Prometheus
	// configuration file.
	// Some external tools may require this field to be populated correctly
	// in order to refer to the original Prometheus configuration file.
	// The rule group name and the alert name are necessary to update the
	// relevant AlertPolicies in case the definition of the rule group changes
	// in the future.
	// This field is optional. If this field is not empty, then it must be a
	// valid Prometheus label name.
	AlertRule *string `json:"alertRule,omitempty" tf:"alert_rule,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// How often this rule should be evaluated. Must be a positive multiple
	// of 30 seconds or missing. The default value is 30 seconds. If this
	// PrometheusQueryLanguageCondition was generated from a Prometheus
	// alerting rule, then this value should be taken from the enclosing
	// rule group.
	EvaluationInterval *string `json:"evaluationInterval,omitempty" tf:"evaluation_interval,omitempty"`

	// Labels to add to or overwrite in the PromQL query result. Label names
	// must be valid.
	// Label values can be templatized by using variables. The only available
	// variable names are the names of the labels in the PromQL result, including
	// "name" and "value". "labels" may be empty. This field is intended to be
	// used for organizing and identifying the AlertPolicy
	// +mapType=granular
	Labels map[string]*string `json:"labels,omitempty" tf:"labels,omitempty"`

	// The PromQL expression to evaluate. Every evaluation cycle this
	// expression is evaluated at the current time, and all resultant time
	// series become pending/firing alerts. This field must not be empty.
	Query *string `json:"query,omitempty" tf:"query,omitempty"`

	// The rule group name of this alert in the corresponding Prometheus
	// configuration file.
	// Some external tools may require this field to be populated correctly
	// in order to refer to the original Prometheus configuration file.
	// The rule group name and the alert name are necessary to update the
	// relevant AlertPolicies in case the definition of the rule group changes
	// in the future. This field is optional.
	RuleGroup *string `json:"ruleGroup,omitempty" tf:"rule_group,omitempty"`
}

type ConditionPrometheusQueryLanguageObservation struct {

	// The alerting rule name of this alert in the corresponding Prometheus
	// configuration file.
	// Some external tools may require this field to be populated correctly
	// in order to refer to the original Prometheus configuration file.
	// The rule group name and the alert name are necessary to update the
	// relevant AlertPolicies in case the definition of the rule group changes
	// in the future.
	// This field is optional. If this field is not empty, then it must be a
	// valid Prometheus label name.
	AlertRule *string `json:"alertRule,omitempty" tf:"alert_rule,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// How often this rule should be evaluated. Must be a positive multiple
	// of 30 seconds or missing. The default value is 30 seconds. If this
	// PrometheusQueryLanguageCondition was generated from a Prometheus
	// alerting rule, then this value should be taken from the enclosing
	// rule group.
	EvaluationInterval *string `json:"evaluationInterval,omitempty" tf:"evaluation_interval,omitempty"`

	// Labels to add to or overwrite in the PromQL query result. Label names
	// must be valid.
	// Label values can be templatized by using variables. The only available
	// variable names are the names of the labels in the PromQL result, including
	// "name" and "value". "labels" may be empty. This field is intended to be
	// used for organizing and identifying the AlertPolicy
	// +mapType=granular
	Labels map[string]*string `json:"labels,omitempty" tf:"labels,omitempty"`

	// The PromQL expression to evaluate. Every evaluation cycle this
	// expression is evaluated at the current time, and all resultant time
	// series become pending/firing alerts. This field must not be empty.
	Query *string `json:"query,omitempty" tf:"query,omitempty"`

	// The rule group name of this alert in the corresponding Prometheus
	// configuration file.
	// Some external tools may require this field to be populated correctly
	// in order to refer to the original Prometheus configuration file.
	// The rule group name and the alert name are necessary to update the
	// relevant AlertPolicies in case the definition of the rule group changes
	// in the future. This field is optional.
	RuleGroup *string `json:"ruleGroup,omitempty" tf:"rule_group,omitempty"`
}

type ConditionPrometheusQueryLanguageParameters struct {

	// The alerting rule name of this alert in the corresponding Prometheus
	// configuration file.
	// Some external tools may require this field to be populated correctly
	// in order to refer to the original Prometheus configuration file.
	// The rule group name and the alert name are necessary to update the
	// relevant AlertPolicies in case the definition of the rule group changes
	// in the future.
	// This field is optional. If this field is not empty, then it must be a
	// valid Prometheus label name.
	// +kubebuilder:validation:Optional
	AlertRule *string `json:"alertRule,omitempty" tf:"alert_rule,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	// +kubebuilder:validation:Optional
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// How often this rule should be evaluated. Must be a positive multiple
	// of 30 seconds or missing. The default value is 30 seconds. If this
	// PrometheusQueryLanguageCondition was generated from a Prometheus
	// alerting rule, then this value should be taken from the enclosing
	// rule group.
	// +kubebuilder:validation:Optional
	EvaluationInterval *string `json:"evaluationInterval,omitempty" tf:"evaluation_interval,omitempty"`

	// Labels to add to or overwrite in the PromQL query result. Label names
	// must be valid.
	// Label values can be templatized by using variables. The only available
	// variable names are the names of the labels in the PromQL result, including
	// "name" and "value". "labels" may be empty. This field is intended to be
	// used for organizing and identifying the AlertPolicy
	// +kubebuilder:validation:Optional
	// +mapType=granular
	Labels map[string]*string `json:"labels,omitempty" tf:"labels,omitempty"`

	// The PromQL expression to evaluate. Every evaluation cycle this
	// expression is evaluated at the current time, and all resultant time
	// series become pending/firing alerts. This field must not be empty.
	// +kubebuilder:validation:Optional
	Query *string `json:"query" tf:"query,omitempty"`

	// The rule group name of this alert in the corresponding Prometheus
	// configuration file.
	// Some external tools may require this field to be populated correctly
	// in order to refer to the original Prometheus configuration file.
	// The rule group name and the alert name are necessary to update the
	// relevant AlertPolicies in case the definition of the rule group changes
	// in the future. This field is optional.
	// +kubebuilder:validation:Optional
	RuleGroup *string `json:"ruleGroup,omitempty" tf:"rule_group,omitempty"`
}

type ConditionThresholdAggregationsInitParameters struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type ConditionThresholdAggregationsObservation struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type ConditionThresholdAggregationsParameters struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	// +kubebuilder:validation:Optional
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	// +kubebuilder:validation:Optional
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	// +kubebuilder:validation:Optional
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	// +kubebuilder:validation:Optional
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type ConditionThresholdInitParameters struct {

	// Specifies the alignment of data points in
	// individual time series as well as how to
	// combine the retrieved time series together
	// (such as when aggregating multiple streams
	// on each resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).
	// Multiple aggregations are applied in the
	// order specified.This field is similar to the
	// one in the MetricService.ListTimeSeries
	// request. It is advisable to use the
	// ListTimeSeries method when debugging this
	// field.
	// Structure is documented below.
	Aggregations []ConditionThresholdAggregationsInitParameters `json:"aggregations,omitempty" tf:"aggregations,omitempty"`

	// The comparison to apply between the time
	// series (indicated by filter and aggregation)
	// and the threshold (indicated by
	// threshold_value). The comparison is applied
	// on each time series, with the time series on
	// the left-hand side and the threshold on the
	// right-hand side. Only COMPARISON_LT and
	// COMPARISON_GT are supported currently.
	// Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.
	Comparison *string `json:"comparison,omitempty" tf:"comparison,omitempty"`

	// Specifies the alignment of data points in
	// individual time series selected by
	// denominatorFilter as well as how to combine
	// the retrieved time series together (such as
	// when aggregating multiple streams on each
	// resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).When
	// computing ratios, the aggregations and
	// denominator_aggregations fields must use the
	// same alignment period and produce time
	// series that have the same periodicity and
	// labels.This field is similar to the one in
	// the MetricService.ListTimeSeries request. It
	// is advisable to use the ListTimeSeries
	// method when debugging this field.
	// Structure is documented below.
	DenominatorAggregations []DenominatorAggregationsInitParameters `json:"denominatorAggregations,omitempty" tf:"denominator_aggregations,omitempty"`

	// A filter that identifies a time series that
	// should be used as the denominator of a ratio
	// that will be compared with the threshold. If
	// a denominator_filter is specified, the time
	// series specified by the filter field will be
	// used as the numerator.The filter is similar
	// to the one that is specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	DenominatorFilter *string `json:"denominatorFilter,omitempty" tf:"denominator_filter,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// A condition control that determines how
	// metric-threshold conditions are evaluated when
	// data stops arriving.
	// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
	EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// When this field is present, the MetricThreshold
	// condition forecasts whether the time series is
	// predicted to violate the threshold within the
	// forecastHorizon. When this field is not set, the
	// MetricThreshold tests the current value of the
	// timeseries against the threshold.
	// Structure is documented below.
	ForecastOptions []ForecastOptionsInitParameters `json:"forecastOptions,omitempty" tf:"forecast_options,omitempty"`

	// A value against which to compare the time
	// series.
	ThresholdValue *float64 `json:"thresholdValue,omitempty" tf:"threshold_value,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	Trigger []ConditionThresholdTriggerInitParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionThresholdObservation struct {

	// Specifies the alignment of data points in
	// individual time series as well as how to
	// combine the retrieved time series together
	// (such as when aggregating multiple streams
	// on each resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).
	// Multiple aggregations are applied in the
	// order specified.This field is similar to the
	// one in the MetricService.ListTimeSeries
	// request. It is advisable to use the
	// ListTimeSeries method when debugging this
	// field.
	// Structure is documented below.
	Aggregations []ConditionThresholdAggregationsObservation `json:"aggregations,omitempty" tf:"aggregations,omitempty"`

	// The comparison to apply between the time
	// series (indicated by filter and aggregation)
	// and the threshold (indicated by
	// threshold_value). The comparison is applied
	// on each time series, with the time series on
	// the left-hand side and the threshold on the
	// right-hand side. Only COMPARISON_LT and
	// COMPARISON_GT are supported currently.
	// Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.
	Comparison *string `json:"comparison,omitempty" tf:"comparison,omitempty"`

	// Specifies the alignment of data points in
	// individual time series selected by
	// denominatorFilter as well as how to combine
	// the retrieved time series together (such as
	// when aggregating multiple streams on each
	// resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).When
	// computing ratios, the aggregations and
	// denominator_aggregations fields must use the
	// same alignment period and produce time
	// series that have the same periodicity and
	// labels.This field is similar to the one in
	// the MetricService.ListTimeSeries request. It
	// is advisable to use the ListTimeSeries
	// method when debugging this field.
	// Structure is documented below.
	DenominatorAggregations []DenominatorAggregationsObservation `json:"denominatorAggregations,omitempty" tf:"denominator_aggregations,omitempty"`

	// A filter that identifies a time series that
	// should be used as the denominator of a ratio
	// that will be compared with the threshold. If
	// a denominator_filter is specified, the time
	// series specified by the filter field will be
	// used as the numerator.The filter is similar
	// to the one that is specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	DenominatorFilter *string `json:"denominatorFilter,omitempty" tf:"denominator_filter,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	Duration *string `json:"duration,omitempty" tf:"duration,omitempty"`

	// A condition control that determines how
	// metric-threshold conditions are evaluated when
	// data stops arriving.
	// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
	EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// When this field is present, the MetricThreshold
	// condition forecasts whether the time series is
	// predicted to violate the threshold within the
	// forecastHorizon. When this field is not set, the
	// MetricThreshold tests the current value of the
	// timeseries against the threshold.
	// Structure is documented below.
	ForecastOptions []ForecastOptionsObservation `json:"forecastOptions,omitempty" tf:"forecast_options,omitempty"`

	// A value against which to compare the time
	// series.
	ThresholdValue *float64 `json:"thresholdValue,omitempty" tf:"threshold_value,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	Trigger []ConditionThresholdTriggerObservation `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionThresholdParameters struct {

	// Specifies the alignment of data points in
	// individual time series as well as how to
	// combine the retrieved time series together
	// (such as when aggregating multiple streams
	// on each resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).
	// Multiple aggregations are applied in the
	// order specified.This field is similar to the
	// one in the MetricService.ListTimeSeries
	// request. It is advisable to use the
	// ListTimeSeries method when debugging this
	// field.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Aggregations []ConditionThresholdAggregationsParameters `json:"aggregations,omitempty" tf:"aggregations,omitempty"`

	// The comparison to apply between the time
	// series (indicated by filter and aggregation)
	// and the threshold (indicated by
	// threshold_value). The comparison is applied
	// on each time series, with the time series on
	// the left-hand side and the threshold on the
	// right-hand side. Only COMPARISON_LT and
	// COMPARISON_GT are supported currently.
	// Possible values are: COMPARISON_GT, COMPARISON_GE, COMPARISON_LT, COMPARISON_LE, COMPARISON_EQ, COMPARISON_NE.
	// +kubebuilder:validation:Optional
	Comparison *string `json:"comparison" tf:"comparison,omitempty"`

	// Specifies the alignment of data points in
	// individual time series selected by
	// denominatorFilter as well as how to combine
	// the retrieved time series together (such as
	// when aggregating multiple streams on each
	// resource to a single stream for each
	// resource or when aggregating streams across
	// all members of a group of resources).When
	// computing ratios, the aggregations and
	// denominator_aggregations fields must use the
	// same alignment period and produce time
	// series that have the same periodicity and
	// labels.This field is similar to the one in
	// the MetricService.ListTimeSeries request. It
	// is advisable to use the ListTimeSeries
	// method when debugging this field.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	DenominatorAggregations []DenominatorAggregationsParameters `json:"denominatorAggregations,omitempty" tf:"denominator_aggregations,omitempty"`

	// A filter that identifies a time series that
	// should be used as the denominator of a ratio
	// that will be compared with the threshold. If
	// a denominator_filter is specified, the time
	// series specified by the filter field will be
	// used as the numerator.The filter is similar
	// to the one that is specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	// +kubebuilder:validation:Optional
	DenominatorFilter *string `json:"denominatorFilter,omitempty" tf:"denominator_filter,omitempty"`

	// The amount of time that a time series must
	// violate the threshold to be considered
	// failing. Currently, only values that are a
	// multiple of a minute--e.g., 0, 60, 120, or
	// 300 seconds--are supported. If an invalid
	// value is given, an error will be returned.
	// When choosing a duration, it is useful to
	// keep in mind the frequency of the underlying
	// time series data (which may also be affected
	// by any alignments specified in the
	// aggregations field); a good duration is long
	// enough so that a single outlier does not
	// generate spurious alerts, but short enough
	// that unhealthy states are detected and
	// alerted on quickly.
	// +kubebuilder:validation:Optional
	Duration *string `json:"duration" tf:"duration,omitempty"`

	// A condition control that determines how
	// metric-threshold conditions are evaluated when
	// data stops arriving.
	// Possible values are: EVALUATION_MISSING_DATA_INACTIVE, EVALUATION_MISSING_DATA_ACTIVE, EVALUATION_MISSING_DATA_NO_OP.
	// +kubebuilder:validation:Optional
	EvaluationMissingData *string `json:"evaluationMissingData,omitempty" tf:"evaluation_missing_data,omitempty"`

	// A filter that identifies which time series
	// should be compared with the threshold.The
	// filter is similar to the one that is
	// specified in the
	// MetricService.ListTimeSeries request (that
	// call is useful to verify the time series
	// that will be retrieved / processed) and must
	// specify the metric type and optionally may
	// contain restrictions on resource type,
	// resource labels, and metric labels. This
	// field may not exceed 2048 Unicode characters
	// in length.
	// +kubebuilder:validation:Optional
	Filter *string `json:"filter,omitempty" tf:"filter,omitempty"`

	// When this field is present, the MetricThreshold
	// condition forecasts whether the time series is
	// predicted to violate the threshold within the
	// forecastHorizon. When this field is not set, the
	// MetricThreshold tests the current value of the
	// timeseries against the threshold.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	ForecastOptions []ForecastOptionsParameters `json:"forecastOptions,omitempty" tf:"forecast_options,omitempty"`

	// A value against which to compare the time
	// series.
	// +kubebuilder:validation:Optional
	ThresholdValue *float64 `json:"thresholdValue,omitempty" tf:"threshold_value,omitempty"`

	// The number/percent of time series for which
	// the comparison must hold in order for the
	// condition to trigger. If unspecified, then
	// the condition will trigger if the comparison
	// is true for any of the time series that have
	// been identified by filter and aggregations,
	// or by the ratio, if denominator_filter and
	// denominator_aggregations are specified.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	Trigger []ConditionThresholdTriggerParameters `json:"trigger,omitempty" tf:"trigger,omitempty"`
}

type ConditionThresholdTriggerInitParameters struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type ConditionThresholdTriggerObservation struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type ConditionThresholdTriggerParameters struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	// +kubebuilder:validation:Optional
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	// +kubebuilder:validation:Optional
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type ConditionsInitParameters struct {

	// A condition that checks that a time series
	// continues to receive new data points.
	// Structure is documented below.
	ConditionAbsent []ConditionAbsentInitParameters `json:"conditionAbsent,omitempty" tf:"condition_absent,omitempty"`

	// A condition that checks for log messages matching given constraints.
	// If set, no other conditions can be present.
	// Structure is documented below.
	ConditionMatchedLog []ConditionMatchedLogInitParameters `json:"conditionMatchedLog,omitempty" tf:"condition_matched_log,omitempty"`

	// A Monitoring Query Language query that outputs a boolean stream
	// Structure is documented below.
	ConditionMonitoringQueryLanguage []ConditionMonitoringQueryLanguageInitParameters `json:"conditionMonitoringQueryLanguage,omitempty" tf:"condition_monitoring_query_language,omitempty"`

	// A condition type that allows alert policies to be defined using
	// Prometheus Query Language (PromQL).
	// The PrometheusQueryLanguageCondition message contains information
	// from a Prometheus alerting rule and its associated rule group.
	// Structure is documented below.
	ConditionPrometheusQueryLanguage []ConditionPrometheusQueryLanguageInitParameters `json:"conditionPrometheusQueryLanguage,omitempty" tf:"condition_prometheus_query_language,omitempty"`

	// A condition that compares a time series against a
	// threshold.
	// Structure is documented below.
	ConditionThreshold []ConditionThresholdInitParameters `json:"conditionThreshold,omitempty" tf:"condition_threshold,omitempty"`

	// A short name or phrase used to identify the
	// condition in dashboards, notifications, and
	// incidents. To avoid confusion, don't use the same
	// display name for multiple conditions in the same
	// policy.
	DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`
}

type ConditionsObservation struct {

	// A condition that checks that a time series
	// continues to receive new data points.
	// Structure is documented below.
	ConditionAbsent []ConditionAbsentObservation `json:"conditionAbsent,omitempty" tf:"condition_absent,omitempty"`

	// A condition that checks for log messages matching given constraints.
	// If set, no other conditions can be present.
	// Structure is documented below.
	ConditionMatchedLog []ConditionMatchedLogObservation `json:"conditionMatchedLog,omitempty" tf:"condition_matched_log,omitempty"`

	// A Monitoring Query Language query that outputs a boolean stream
	// Structure is documented below.
	ConditionMonitoringQueryLanguage []ConditionMonitoringQueryLanguageObservation `json:"conditionMonitoringQueryLanguage,omitempty" tf:"condition_monitoring_query_language,omitempty"`

	// A condition type that allows alert policies to be defined using
	// Prometheus Query Language (PromQL).
	// The PrometheusQueryLanguageCondition message contains information
	// from a Prometheus alerting rule and its associated rule group.
	// Structure is documented below.
	ConditionPrometheusQueryLanguage []ConditionPrometheusQueryLanguageObservation `json:"conditionPrometheusQueryLanguage,omitempty" tf:"condition_prometheus_query_language,omitempty"`

	// A condition that compares a time series against a
	// threshold.
	// Structure is documented below.
	ConditionThreshold []ConditionThresholdObservation `json:"conditionThreshold,omitempty" tf:"condition_threshold,omitempty"`

	// A short name or phrase used to identify the
	// condition in dashboards, notifications, and
	// incidents. To avoid confusion, don't use the same
	// display name for multiple conditions in the same
	// policy.
	DisplayName *string `json:"displayName,omitempty" tf:"display_name,omitempty"`

	// (Output)
	// The unique resource name for this condition.
	// Its syntax is:
	// projects/[PROJECT_ID]/alertPolicies/[POLICY_ID]/conditions/[CONDITION_ID]
	// [CONDITION_ID] is assigned by Stackdriver Monitoring when
	// the condition is created as part of a new or updated alerting
	// policy.
	Name *string `json:"name,omitempty" tf:"name,omitempty"`
}

type ConditionsParameters struct {

	// A condition that checks that a time series
	// continues to receive new data points.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	ConditionAbsent []ConditionAbsentParameters `json:"conditionAbsent,omitempty" tf:"condition_absent,omitempty"`

	// A condition that checks for log messages matching given constraints.
	// If set, no other conditions can be present.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	ConditionMatchedLog []ConditionMatchedLogParameters `json:"conditionMatchedLog,omitempty" tf:"condition_matched_log,omitempty"`

	// A Monitoring Query Language query that outputs a boolean stream
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	ConditionMonitoringQueryLanguage []ConditionMonitoringQueryLanguageParameters `json:"conditionMonitoringQueryLanguage,omitempty" tf:"condition_monitoring_query_language,omitempty"`

	// A condition type that allows alert policies to be defined using
	// Prometheus Query Language (PromQL).
	// The PrometheusQueryLanguageCondition message contains information
	// from a Prometheus alerting rule and its associated rule group.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	ConditionPrometheusQueryLanguage []ConditionPrometheusQueryLanguageParameters `json:"conditionPrometheusQueryLanguage,omitempty" tf:"condition_prometheus_query_language,omitempty"`

	// A condition that compares a time series against a
	// threshold.
	// Structure is documented below.
	// +kubebuilder:validation:Optional
	ConditionThreshold []ConditionThresholdParameters `json:"conditionThreshold,omitempty" tf:"condition_threshold,omitempty"`

	// A short name or phrase used to identify the
	// condition in dashboards, notifications, and
	// incidents. To avoid confusion, don't use the same
	// display name for multiple conditions in the same
	// policy.
	// +kubebuilder:validation:Optional
	DisplayName *string `json:"displayName" tf:"display_name,omitempty"`
}

type CreationRecordInitParameters struct {
}

type CreationRecordObservation struct {

	// (Output)
	// When the change occurred.
	MutateTime *string `json:"mutateTime,omitempty" tf:"mutate_time,omitempty"`

	// (Output)
	// The email address of the user making the change.
	MutatedBy *string `json:"mutatedBy,omitempty" tf:"mutated_by,omitempty"`
}

type CreationRecordParameters struct {
}

type DenominatorAggregationsInitParameters struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type DenominatorAggregationsObservation struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type DenominatorAggregationsParameters struct {

	// The alignment period for per-time
	// series alignment. If present,
	// alignmentPeriod must be at least
	// 60 seconds. After per-time series
	// alignment, each time series will
	// contain data points only on the
	// period boundaries. If
	// perSeriesAligner is not specified
	// or equals ALIGN_NONE, then this
	// field is ignored. If
	// perSeriesAligner is specified and
	// does not equal ALIGN_NONE, then
	// this field must be defined;
	// otherwise an error is returned.
	// +kubebuilder:validation:Optional
	AlignmentPeriod *string `json:"alignmentPeriod,omitempty" tf:"alignment_period,omitempty"`

	// The approach to be used to combine
	// time series. Not all reducer
	// functions may be applied to all
	// time series, depending on the
	// metric type and the value type of
	// the original time series.
	// Reduction may change the metric
	// type of value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: REDUCE_NONE, REDUCE_MEAN, REDUCE_MIN, REDUCE_MAX, REDUCE_SUM, REDUCE_STDDEV, REDUCE_COUNT, REDUCE_COUNT_TRUE, REDUCE_COUNT_FALSE, REDUCE_FRACTION_TRUE, REDUCE_PERCENTILE_99, REDUCE_PERCENTILE_95, REDUCE_PERCENTILE_50, REDUCE_PERCENTILE_05.
	// +kubebuilder:validation:Optional
	CrossSeriesReducer *string `json:"crossSeriesReducer,omitempty" tf:"cross_series_reducer,omitempty"`

	// The set of fields to preserve when
	// crossSeriesReducer is specified.
	// The groupByFields determine how
	// the time series are partitioned
	// into subsets prior to applying the
	// aggregation function. Each subset
	// contains time series that have the
	// same value for each of the
	// grouping fields. Each individual
	// time series is a member of exactly
	// one subset. The crossSeriesReducer
	// is applied to each subset of time
	// series. It is not possible to
	// reduce across different resource
	// types, so this field implicitly
	// contains resource.type. Fields not
	// specified in groupByFields are
	// aggregated away. If groupByFields
	// is not specified and all the time
	// series have the same resource
	// type, then the time series are
	// aggregated into a single output
	// time series. If crossSeriesReducer
	// is not defined, this field is
	// ignored.
	// +kubebuilder:validation:Optional
	GroupByFields []*string `json:"groupByFields,omitempty" tf:"group_by_fields,omitempty"`

	// The approach to be used to align
	// individual time series. Not all
	// alignment functions may be applied
	// to all time series, depending on
	// the metric type and value type of
	// the original time series.
	// Alignment may change the metric
	// type or the value type of the time
	// series.Time series data must be
	// aligned in order to perform cross-
	// time series reduction. If
	// crossSeriesReducer is specified,
	// then perSeriesAligner must be
	// specified and not equal ALIGN_NONE
	// and alignmentPeriod must be
	// specified; otherwise, an error is
	// returned.
	// Possible values are: ALIGN_NONE, ALIGN_DELTA, ALIGN_RATE, ALIGN_INTERPOLATE, ALIGN_NEXT_OLDER, ALIGN_MIN, ALIGN_MAX, ALIGN_MEAN, ALIGN_COUNT, ALIGN_SUM, ALIGN_STDDEV, ALIGN_COUNT_TRUE, ALIGN_COUNT_FALSE, ALIGN_FRACTION_TRUE, ALIGN_PERCENTILE_99, ALIGN_PERCENTILE_95, ALIGN_PERCENTILE_50, ALIGN_PERCENTILE_05, ALIGN_PERCENT_CHANGE.
	// +kubebuilder:validation:Optional
	PerSeriesAligner *string `json:"perSeriesAligner,omitempty" tf:"per_series_aligner,omitempty"`
}

type DocumentationInitParameters struct {

	// The text of the documentation, interpreted according to mimeType.
	// The content may not exceed 8,192 Unicode characters and may not
	// exceed more than 10,240 bytes when encoded in UTF-8 format,
	// whichever is smaller.
	Content *string `json:"content,omitempty" tf:"content,omitempty"`

	// The format of the content field. Presently, only the value
	// "text/markdown" is supported.
	MimeType *string `json:"mimeType,omitempty" tf:"mime_type,omitempty"`

	// The subject line of the notification. The subject line may not
	// exceed 10,240 bytes. In notifications generated by this policy the contents
	// of the subject line after variable expansion will be truncated to 255 bytes
	// or shorter at the latest UTF-8 character boundary.
	Subject *string `json:"subject,omitempty" tf:"subject,omitempty"`
}

type DocumentationObservation struct {

	// The text of the documentation, interpreted according to mimeType.
	// The content may not exceed 8,192 Unicode characters and may not
	// exceed more than 10,240 bytes when encoded in UTF-8 format,
	// whichever is smaller.
	Content *string `json:"content,omitempty" tf:"content,omitempty"`

	// The format of the content field. Presently, only the value
	// "text/markdown" is supported.
	MimeType *string `json:"mimeType,omitempty" tf:"mime_type,omitempty"`

	// The subject line of the notification. The subject line may not
	// exceed 10,240 bytes. In notifications generated by this policy the contents
	// of the subject line after variable expansion will be truncated to 255 bytes
	// or shorter at the latest UTF-8 character boundary.
	Subject *string `json:"subject,omitempty" tf:"subject,omitempty"`
}

type DocumentationParameters struct {

	// The text of the documentation, interpreted according to mimeType.
	// The content may not exceed 8,192 Unicode characters and may not
	// exceed more than 10,240 bytes when encoded in UTF-8 format,
	// whichever is smaller.
	// +kubebuilder:validation:Optional
	Content *string `json:"content,omitempty" tf:"content,omitempty"`

	// The format of the content field. Presently, only the value
	// "text/markdown" is supported.
	// +kubebuilder:validation:Optional
	MimeType *string `json:"mimeType,omitempty" tf:"mime_type,omitempty"`

	// The subject line of the notification. The subject line may not
	// exceed 10,240 bytes. In notifications generated by this policy the contents
	// of the subject line after variable expansion will be truncated to 255 bytes
	// or shorter at the latest UTF-8 character boundary.
	// +kubebuilder:validation:Optional
	Subject *string `json:"subject,omitempty" tf:"subject,omitempty"`
}

type ForecastOptionsInitParameters struct {

	// The length of time into the future to forecast
	// whether a timeseries will violate the threshold.
	// If the predicted value is found to violate the
	// threshold, and the violation is observed in all
	// forecasts made for the Configured duration,
	// then the timeseries is considered to be failing.
	ForecastHorizon *string `json:"forecastHorizon,omitempty" tf:"forecast_horizon,omitempty"`
}

type ForecastOptionsObservation struct {

	// The length of time into the future to forecast
	// whether a timeseries will violate the threshold.
	// If the predicted value is found to violate the
	// threshold, and the violation is observed in all
	// forecasts made for the Configured duration,
	// then the timeseries is considered to be failing.
	ForecastHorizon *string `json:"forecastHorizon,omitempty" tf:"forecast_horizon,omitempty"`
}

type ForecastOptionsParameters struct {

	// The length of time into the future to forecast
	// whether a timeseries will violate the threshold.
	// If the predicted value is found to violate the
	// threshold, and the violation is observed in all
	// forecasts made for the Configured duration,
	// then the timeseries is considered to be failing.
	// +kubebuilder:validation:Optional
	ForecastHorizon *string `json:"forecastHorizon" tf:"forecast_horizon,omitempty"`
}

type NotificationChannelStrategyInitParameters struct {

	// The notification channels that these settings apply to. Each of these
	// correspond to the name field in one of the NotificationChannel objects
	// referenced in the notification_channels field of this AlertPolicy. The format is
	// projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]
	NotificationChannelNames []*string `json:"notificationChannelNames,omitempty" tf:"notification_channel_names,omitempty"`

	// The frequency at which to send reminder notifications for open incidents.
	RenotifyInterval *string `json:"renotifyInterval,omitempty" tf:"renotify_interval,omitempty"`
}

type NotificationChannelStrategyObservation struct {

	// The notification channels that these settings apply to. Each of these
	// correspond to the name field in one of the NotificationChannel objects
	// referenced in the notification_channels field of this AlertPolicy. The format is
	// projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]
	NotificationChannelNames []*string `json:"notificationChannelNames,omitempty" tf:"notification_channel_names,omitempty"`

	// The frequency at which to send reminder notifications for open incidents.
	RenotifyInterval *string `json:"renotifyInterval,omitempty" tf:"renotify_interval,omitempty"`
}

type NotificationChannelStrategyParameters struct {

	// The notification channels that these settings apply to. Each of these
	// correspond to the name field in one of the NotificationChannel objects
	// referenced in the notification_channels field of this AlertPolicy. The format is
	// projects/[PROJECT_ID_OR_NUMBER]/notificationChannels/[CHANNEL_ID]
	// +kubebuilder:validation:Optional
	NotificationChannelNames []*string `json:"notificationChannelNames,omitempty" tf:"notification_channel_names,omitempty"`

	// The frequency at which to send reminder notifications for open incidents.
	// +kubebuilder:validation:Optional
	RenotifyInterval *string `json:"renotifyInterval,omitempty" tf:"renotify_interval,omitempty"`
}

type NotificationRateLimitInitParameters struct {

	// Not more than one notification per period.
	Period *string `json:"period,omitempty" tf:"period,omitempty"`
}

type NotificationRateLimitObservation struct {

	// Not more than one notification per period.
	Period *string `json:"period,omitempty" tf:"period,omitempty"`
}

type NotificationRateLimitParameters struct {

	// Not more than one notification per period.
	// +kubebuilder:validation:Optional
	Period *string `json:"period,omitempty" tf:"period,omitempty"`
}

type TriggerInitParameters struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type TriggerObservation struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

type TriggerParameters struct {

	// The absolute number of time series
	// that must fail the predicate for the
	// condition to be triggered.
	// +kubebuilder:validation:Optional
	Count *float64 `json:"count,omitempty" tf:"count,omitempty"`

	// The percentage of time series that
	// must fail the predicate for the
	// condition to be triggered.
	// +kubebuilder:validation:Optional
	Percent *float64 `json:"percent,omitempty" tf:"percent,omitempty"`
}

// AlertPolicySpec defines the desired state of AlertPolicy
type AlertPolicySpec struct {
	v1.ResourceSpec `json:",inline"`
	ForProvider     AlertPolicyParameters `json:"forProvider"`
	// THIS IS A BETA FIELD. It will be honored
	// unless the Management Policies feature flag is disabled.
	// InitProvider holds the same fields as ForProvider, with the exception
	// of Identifier and other resource reference fields. The fields that are
	// in InitProvider are merged into ForProvider when the resource is created.
	// The same fields are also added to the terraform ignore_changes hook, to
	// avoid updating them after creation. This is useful for fields that are
	// required on creation, but we do not desire to update them after creation,
	// for example because of an external controller is managing them, like an
	// autoscaler.
	InitProvider AlertPolicyInitParameters `json:"initProvider,omitempty"`
}

// AlertPolicyStatus defines the observed state of AlertPolicy.
type AlertPolicyStatus struct {
	v1.ResourceStatus `json:",inline"`
	AtProvider        AlertPolicyObservation `json:"atProvider,omitempty"`
}

// +kubebuilder:object:root=true
// +kubebuilder:subresource:status
// +kubebuilder:storageversion

// AlertPolicy is the Schema for the AlertPolicys API. A description of the conditions under which some aspect of your system is considered to be "unhealthy" and the ways to notify people or services about this state.
// +kubebuilder:printcolumn:name="SYNCED",type="string",JSONPath=".status.conditions[?(@.type=='Synced')].status"
// +kubebuilder:printcolumn:name="READY",type="string",JSONPath=".status.conditions[?(@.type=='Ready')].status"
// +kubebuilder:printcolumn:name="EXTERNAL-NAME",type="string",JSONPath=".metadata.annotations.crossplane\\.io/external-name"
// +kubebuilder:printcolumn:name="AGE",type="date",JSONPath=".metadata.creationTimestamp"
// +kubebuilder:resource:scope=Cluster,categories={crossplane,managed,gcp}
type AlertPolicy struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty"`
	// +kubebuilder:validation:XValidation:rule="!('*' in self.managementPolicies || 'Create' in self.managementPolicies || 'Update' in self.managementPolicies) || has(self.forProvider.combiner) || (has(self.initProvider) && has(self.initProvider.combiner))",message="spec.forProvider.combiner is a required parameter"
	// +kubebuilder:validation:XValidation:rule="!('*' in self.managementPolicies || 'Create' in self.managementPolicies || 'Update' in self.managementPolicies) || has(self.forProvider.conditions) || (has(self.initProvider) && has(self.initProvider.conditions))",message="spec.forProvider.conditions is a required parameter"
	// +kubebuilder:validation:XValidation:rule="!('*' in self.managementPolicies || 'Create' in self.managementPolicies || 'Update' in self.managementPolicies) || has(self.forProvider.displayName) || (has(self.initProvider) && has(self.initProvider.displayName))",message="spec.forProvider.displayName is a required parameter"
	Spec   AlertPolicySpec   `json:"spec"`
	Status AlertPolicyStatus `json:"status,omitempty"`
}

// +kubebuilder:object:root=true

// AlertPolicyList contains a list of AlertPolicys
type AlertPolicyList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata,omitempty"`
	Items           []AlertPolicy `json:"items"`
}

// Repository type metadata.
var (
	AlertPolicy_Kind             = "AlertPolicy"
	AlertPolicy_GroupKind        = schema.GroupKind{Group: CRDGroup, Kind: AlertPolicy_Kind}.String()
	AlertPolicy_KindAPIVersion   = AlertPolicy_Kind + "." + CRDGroupVersion.String()
	AlertPolicy_GroupVersionKind = CRDGroupVersion.WithKind(AlertPolicy_Kind)
)

func init() {
	SchemeBuilder.Register(&AlertPolicy{}, &AlertPolicyList{})
}