module Application.Helper.HubHealth where import IHP.Prelude import IHP.ModelSupport import Generated.Types import Web.Routes () import Data.Time.Clock (addUTCTime, getCurrentTime) -- | Health score deduction table (documented): -- -- -5 per open RequirementCandidate -- -10 per regressed widget -- -8 per stale DecisionRecord (decided > 30 days, no deployment) -- -12 per active critical BottleneckRecord -- -6 per active high BottleneckRecord -- floor at 0, ceiling at 100 -- computeHubHealth :: (?modelContext :: ModelContext) => Id Hub -> [Widget] -> [RequirementCandidate] -> [DecisionRecord] -> [DeploymentRecord] -> [OutcomeSignal] -> [Annotation] -> [BottleneckRecord] -> IO HubHealthSnapshot computeHubHealth hubId widgets candidates decisions deployments signals annotations bottlenecks = do now <- getCurrentTime let thirtyDaysAgo = addUTCTime (negate $ 30 * 86400) now openCandidates = filter (\c -> c.status == "open") candidates regressedWids = regressedWidgetIds signals annotations linkedDecIds = map (.decisionId) deployments staleDecisions' = filter (\d -> d.decidedAt < thirtyDaysAgo && d.id `notElem` linkedDecIds) decisions activeBN = filter (\b -> isNothing b.resolvedAt) bottlenecks criticalBN = filter (\b -> b.severity == "critical") activeBN highBN = filter (\b -> b.severity == "high") activeBN openCount = length openCandidates regCount = length regressedWids staleDecCount = length staleDecisions' activeBNCount = length activeBN deductions = openCount * 5 + regCount * 10 + staleDecCount * 8 + length criticalBN * 12 + length highBN * 6 score = max 0 (100 - deductions) newRecord @HubHealthSnapshot |> set #hubId hubId |> set #healthScore score |> set #openCandidates openCount |> set #regressedWidgets regCount |> set #staleDecisions staleDecCount |> set #activeBottlenecks activeBNCount |> createRecord -- | Re-export from Application.Helper.Controller to avoid circular imports. regressedWidgetIds :: [OutcomeSignal] -> [Annotation] -> [Id Widget] regressedWidgetIds signals annotations = let negSignalWids = [ s.widgetId | s <- signals, s.signalType == "negative" ] negAnnotWids = [ a.widgetId | a <- annotations, a.category == "regression" ] in nub (negSignalWids <> negAnnotWids) -- | Colour class for health score badge. healthScoreBadge :: Int -> Text healthScoreBadge s | s >= 80 = "bg-green-100 text-green-800" | s >= 60 = "bg-yellow-100 text-yellow-800" | s >= 40 = "bg-orange-100 text-orange-800" | otherwise = "bg-red-100 text-red-800"