planner

type Config struct {
	EvictionThreshold time.Duration // How long a key can be unused before being evicted. (e.g., 30 * time.Minute)
	CleanupInterval   time.Duration // How often the planner checks for stale keys. (e.g., 5 * time.Minute)
}

type Manager interface {
	GetPlanSelector(key string) Selector
	Stop()
}

type PlanConfig struct {
	Name string
	/*
		In Thompson Sampling, the algorithm models its belief about each strategy's performance as a probability distribution (a "belief curve").
		The InitialGuess is the value that the algorithm assumes is the most likely average latency for a strategy it knows nothing about.
		To choose a strategy, the algorithm doesn't just use the average; it takes a random sample (a "draw") from each strategy's full belief curve.
		Before any data is collected, these draws will be statistically centered around the InitialGuess.
		A strategy with a low InitialGuess will have its draws centered around a low number, making it more likely to be chosen initially.
		Once a strategy is chosen and its actual performance is measured, that new data point is used to update the belief curve via a Bayesian update.
		If a strategy with an InitialGuess of 50ms consistently performs at 10ms, the curve's center will quickly "move" from 50ms down to 10ms. This is how the algorithm learns and adapts.
	*/
	InitialGuess time.Duration
	/*
		Lambda represents our confidence in the InitialGuess. How many good runs do we believe we've effectively seen already?
		A low Lambda (e.g., 1) means we have very little confidence. The model is "open-minded" and will quickly change its beliefs based on the first few real results. This encourages exploration.
		A medium lambda: 5, means a modest trust.
		A high Lambda (e.g., 10) means we are very confident. The model is "stubborn" and will require a lot of contradictory data to move away from its initial guess. This encourages exploitation.
	*/
	Lambda float64

	Alpha float64
	Beta  float64
}

type Planner struct {
	// contains filtered or unexported fields
}

type Selector interface {
	Select(resolvers map[string]*PlanConfig) *PlanConfig
	UpdateStats(plan *PlanConfig, duration time.Duration)
}

type ThompsonStats struct {
	// contains filtered or unexported fields
}