Module: Legion::Extensions::Synapse::Helpers::Homeostasis

Defined in:
lib/legion/extensions/synapse/helpers/homeostasis.rb

Constant Summary collapse

SPIKE_MULTIPLIER = 
3.0
SPIKE_DURATION_SECONDS = 
60
DROUGHT_MULTIPLIER = 
10.0

Class Method Summary collapse

Class Method Details

.drought?(current_throughput, baseline_throughput, silent_seconds: 0) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/extensions/synapse/helpers/homeostasis.rb', line 20

def drought?(current_throughput, baseline_throughput, silent_seconds: 0)
  return false if baseline_throughput <= 0

  avg_interval = 60.0 / baseline_throughput
  current_throughput.zero? && silent_seconds >= (avg_interval * DROUGHT_MULTIPLIER)
end

.should_dampen?(current_throughput, baseline_throughput, duration_seconds: 0) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/extensions/synapse/helpers/homeostasis.rb', line 31

def should_dampen?(current_throughput, baseline_throughput, duration_seconds: 0)
  spike?(current_throughput, baseline_throughput, duration_seconds: duration_seconds)
end

.should_flag_for_review?(current_throughput, baseline_throughput, silent_seconds: 0) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/extensions/synapse/helpers/homeostasis.rb', line 35

def should_flag_for_review?(current_throughput, baseline_throughput, silent_seconds: 0)
  drought?(current_throughput, baseline_throughput, silent_seconds: silent_seconds)
end

.spike?(current_throughput, baseline_throughput, duration_seconds: 0) ⇒ Boolean

Returns:

  • (Boolean) 


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# File 'lib/legion/extensions/synapse/helpers/homeostasis.rb', line 13

def spike?(current_throughput, baseline_throughput, duration_seconds: 0)
  return false if baseline_throughput <= 0

  current_throughput > (baseline_throughput * SPIKE_MULTIPLIER) &&
    duration_seconds >= SPIKE_DURATION_SECONDS
end

.update_baseline(current_baseline, new_sample, alpha: 0.1) ⇒ Object 



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# File 'lib/legion/extensions/synapse/helpers/homeostasis.rb', line 27

def update_baseline(current_baseline, new_sample, alpha: 0.1)
  ((1 - alpha) * current_baseline) + (alpha * new_sample)
end