v1alpha1

type AlgorithmType string

type Dsp struct {
	// SampleInterval is the sampling interval of metrics.
	SampleInterval string `json:"sampleInterval,omitempty"`
	// HistoryLength describes how long back should be queried against provider to get historical metrics for prediction.
	HistoryLength string `json:"historyLength,omitempty"`
	// Estimator
	Estimator Estimator `json:"estimators,omitempty"`
}

type Estimator struct {
	// +optional
	MaxValueEstimators []*MaxValueEstimator `json:"maxValue,omitempty"`
	// +optional
	FFTEstimators []*FFTEstimator `json:"fft,omitempty"`
}

type FFTEstimator struct {
	MarginFraction         string `json:"marginFraction,omitempty"`
	LowAmplitudeThreshold  string `json:"lowAmplitudeThreshold,omitempty"`
	HighFrequencyThreshold string `json:"highFrequencyThreshold,omitempty"`
	MinNumOfSpectrumItems  int32  `json:"minNumOfSpectrumItems,omitempty"`
	MaxNumOfSpectrumItems  int32  `json:"maxNumOfSpectrumItems,omitempty"`
}

type HistogramConfig struct {
	MaxValue              string `json:"maxValue,omitempty"`
	Epsilon               string `json:"epsilon,omitempty"`
	HalfLife              string `json:"halfLife,omitempty"`
	BucketSize            string `json:"bucketSize,omitempty"`
	FirstBucketSize       string `json:"firstBucketSize,omitempty"`
	BucketSizeGrowthRatio string `json:"bucketSizeGrowthRatio,omitempty"`
}

type MaxValueEstimator struct{}

type MetricPredictionConfig struct {
	MetricName    string        `json:"metricName,omitempty"`
	AlgorithmType AlgorithmType `json:"algorithmType,omitempty"`
	// +optional
	DSP *Dsp `json:"dsp,omitempty"`
	// +optional
	Percentile *Percentile `json:"percentile,omitempty"`
}

type NodePrediction struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty"`

	Spec NodePredictionResourceSpec `json:"spec"`

	// +optional
	Status NodePredictionResourceStatus `json:"status"`
}

type NodePredictionList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata"`

	Items []NodePrediction `json:"items"`
}

type NodePredictionResourceSpec struct {
	// Period is the prediction time series interval or step.
	Period metav1.Duration `json:"period,omitempty"`
	// Mode is the prediction time series mode
	Mode PredictionMode `json:"mode,omitempty"`
	// MetricPredictionConfigs is the prediction configs of metric. each metric has its config for different prediction behaviors
	MetricPredictionConfigs []MetricPredictionConfig `json:"metricPredictionConfigs,omitempty"`
}

type NodePredictionResourceStatus struct {
	// NextPossible is the predicted resource usage in next resolution point based on previous series.
	NextPossible Prediction `json:"nextPossible,omitempty"`
}

type Percentile struct {
	SampleInterval  string          `json:"sampleInterval,omitempty"`
	Histogram       HistogramConfig `json:"histogram,omitempty"`
	MinSampleWeight string          `json:"minSampleWeight,omitempty"`
}

type PodGroupPrediction struct {
	metav1.TypeMeta   `json:",inline"`
	metav1.ObjectMeta `json:"metadata,omitempty"`

	Spec PodGroupPredictionSpec `json:"spec,omitempty"`

	// +optional
	Status PodGroupPredictionStatus `json:"status,omitempty"`
}

type PodGroupPredictionCondition struct {
	// Type is the type of the condition.
	Type PodGroupPredictionConditionType `json:"type,omitempty"`
	// Status is the status of the condition.
	// Can be True, False, Unknown.
	Status metav1.ConditionStatus `json:"status,omitempty"`
	// Last time we probed the condition.
	// +optional
	LastProbeTime metav1.Time `json:"lastProbeTime,omitempty"`
	// Last time the condition transitioned from one status to another.
	// +optional
	LastTransitionTime metav1.Time `json:"lastTransitionTime,omitempty"`
	// Unique, one-word, CamelCase reason for the condition's last transition.
	// +optional
	Reason string `json:"reason,omitempty"`
	// Human-readable message indicating details about last transition.
	// +optional
	Message string `json:"message,omitempty"`
}

type PodGroupPredictionConditionType string

type PodGroupPredictionList struct {
	metav1.TypeMeta `json:",inline"`
	metav1.ListMeta `json:"metadata"`

	Items []PodGroupPrediction `json:"items"`
}

type PodGroupPredictionSpec struct {
	// Prediction start time. If not specified, the prediction starts from the object creationTimestamp.
	// +optional
	Start *metav1.Time `json:"start,omitempty"`
	// Prediction end time. If current time is after end, the prediction will be stopped and the status will not be updated afterward.
	// If end is null, the prediction will never stop.
	// +optional
	End *metav1.Time `json:"end,omitempty"`
	// PredictionWindow, for example, 24-hours means predicting time series in next 24 hours.
	// This should be used only for PredictionModeRange.
	PredictionWindow metav1.Duration `json:"predictionWindow,omitempty"`
	// Mode is the prediction time series mode. instant or range
	Mode PredictionMode `json:"mode,omitempty"`
	// Pods is a list of pod names that belong to this pod group.
	// If not specified then WorkloadRef is invalid.
	// The aggregator aggregate priority is  Pods > WorkloadRef > LabelSelector
	// +optional
	Pods []string `json:"pods,omitempty"`
	// WorkloadRef is a ref of workload(deployment/statefulsets).
	// +optional
	WorkloadRef *autoscalingv2.CrossVersionObjectReference `json:"workloadRef,omitempty"`
	// LabelSelector is the aggregator label selector. aggregator group all data by same key . for example, [online: label=v1] denotes all pods with label label=v1 will aggregate by sum all the resources.
	// +optional
	LabelSelector metav1.LabelSelector `json:"labelSelector,omitempty"`
	// MetricPredictionConfigs is the prediction configs of metric. each metric has its config for different prediction behaviors
	MetricPredictionConfigs []MetricPredictionConfig `json:"metricPredictionConfigs,omitempty"`
}

type PodGroupPredictionStatus struct {
	// Conditions is the condition of PodGroupPrediction
	Conditions []PodGroupPredictionCondition `json:"conditions,omitempty"`
	// Status
	Status PredictionStatus `json:"status,omitempty"`
	// Aggregation is the aggregated prediction value of all pods.
	Aggregation Prediction `json:"aggregation,omitempty"`
	// Containers is all the containers in pod group. excludes pause container. key is the namesapce/podname/containername
	Containers map[string]Prediction `json:"containers,omitempty"`
}

type Prediction map[string]TimeSeries

type PredictionMode string

type PredictionStatus string

type ResourceName string

type TimeSeries []*Vector

type Vector struct {
	// CRD not support float64
	Value     string `json:"value,omitempty"`
	Timestamp int64  `json:"timestamp,omitempty"`
}