Filter alert counts by duplicate removal and classify the resulting noise level.

Alert Noise Report

alert_noise.lua
local alert_count = 
local duplicate_alerts = 2
local useful_alerts = alert_count - duplicate_alerts
local noise_label = "focused"

if useful_alerts <= 1 then
  noise_label = "review"
elseif alert_count >= 9 then
  noise_label = "noisy"
end

print("alerts=" .. alert_count .. " useful=" .. useful_alerts .. " label=" .. noise_label)
local alert_count = 
local duplicate_alerts = 2
local useful_alerts = alert_count - duplicate_alerts
local noise_label = "focused"

if useful_alerts <= 1 then
  noise_label = "review"
elseif alert_count >= 9 then
  noise_label = "noisy"
end

print("alerts=" .. alert_count .. " useful=" .. useful_alerts .. " label=" .. noise_label)
local alert_count = 
local duplicate_alerts = 2
local useful_alerts = alert_count - duplicate_alerts
local noise_label = "focused"

if useful_alerts <= 1 then
  noise_label = "review"
elseif alert_count >= 9 then
  noise_label = "noisy"
end

print("alerts=" .. alert_count .. " useful=" .. useful_alerts .. " label=" .. noise_label)
alert noise Alert noise classification separates useful signals from duplicates before escalation.