generated from coulomb/repo-seed
Bernd Worsch
ce42607fca
Convert all remaining `<- paramOrNothing / param / paramOrDefault /
currentUserOrNothing` monadic binds to `let` — these functions are pure
(ImplicitParams-based) in IHP v1.5, so `<-` is a type error in an IO
do-block.
Controllers fixed:
AgentDelegations, AiGovernancePolicies, Annotations, ApiConsumers,
CollectiveProposals, DecisionRecords, DeploymentRecords,
HubCapabilityManifests, HubRoutingRules, InstitutionalKnowledge,
OutcomeCorrelations, RequirementCandidates, TypeRegistries,
WebhookSubscriptions, Widgets,
Api/V2/{Annotations,InteractionEvents,Token}
WebhookSubscriptions: remove orphaned `Right () ->` case arm that was
left inside a bare `unless` block (structural parse error).
Also carries forward all in-progress fixes from the working tree:
helpers (AgentBridge, ApiRateLimit, BottleneckDetector,
CrossHubPropagation, FrictionScore),
views (CanSelect instances, HSX lambda extraction, formFor wrappers),
env/build (envrc GHCi perms, flake.nix Tailwind + GHC resource limits,
static/app.css additional Tailwind output).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
104 lines
4.1 KiB
Haskell
104 lines
4.1 KiB
Haskell
module Application.Helper.FrictionScore where
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import IHP.Prelude
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import IHP.ModelSupport
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import IHP.QueryBuilder
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import IHP.Fetch
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import Generated.Types
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import Web.Routes ()
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import Database.PostgreSQL.Simple (Only(..))
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import Data.Time.Clock (addUTCTime, getCurrentTime)
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import qualified Data.Aeson as A
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import qualified Data.Aeson.KeyMap as KM
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import qualified Data.Aeson.Key as AK
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-- | Friction score formula (documented):
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--
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-- score = min 100 $
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-- annotationCount * 5
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-- + errorEventCount * 10
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-- + (if regressionFlag then 20 else 0)
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-- + staleCandidateCount * 8
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--
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-- Inputs are computed from the widget's related records.
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computeFrictionScore
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:: (?modelContext :: ModelContext)
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=> Id Widget
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-> [Annotation] -- all annotations for this widget
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-> [InteractionEvent] -- all events for this widget
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-> Bool -- True if widget is in regression
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-> [RequirementCandidate] -- all candidates for this widget
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-> IO FrictionScore
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computeFrictionScore wid annotations events isRegressed candidates = do
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now <- getCurrentTime
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let thirtyDaysAgo = addUTCTime (negate $ 30 * 86400) now
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annCount = length annotations
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errCount = length (filter (\e -> e.eventType == "errored") events)
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staleCount = length (filter (\c -> c.status == "open" && c.createdAt < thirtyDaysAgo) candidates)
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rawScore = annCount * 5 + errCount * 10 + (if isRegressed then 20 else 0) + staleCount * 8
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finalScore = min 100 rawScore
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-- Upsert: update if row exists, insert otherwise
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existingRows <- sqlQuery
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"SELECT * FROM friction_scores WHERE widget_id = ? LIMIT 1"
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(Only wid)
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case (existingRows :: [FrictionScore]) of
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(existing : _) -> do
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existing
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|> set #score finalScore
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|> set #annotationCount annCount
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|> set #errorEventCount errCount
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|> set #regressionFlag isRegressed
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|> set #staleCandidateCount staleCount
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|> set #lastComputedAt now
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|> updateRecord
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[] -> do
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newRecord @FrictionScore
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|> set #widgetId wid
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|> set #score finalScore
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|> set #annotationCount annCount
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|> set #errorEventCount errCount
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|> set #regressionFlag isRegressed
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|> set #staleCandidateCount staleCount
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|> set #lastComputedAt now
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|> createRecord
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-- | Score band for Tailwind colour coding.
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scoreBand :: Int -> Text
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scoreBand s
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| s < 20 = "bg-green-100 text-green-800"
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| s < 40 = "bg-yellow-100 text-yellow-800"
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| s < 60 = "bg-orange-100 text-orange-800"
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| otherwise = "bg-red-100 text-red-800"
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-- | Read per-hub AdaptiveThresholdConfig and apply weight_overrides
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-- to friction component scores before summing. Falls back to global
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-- defaults when no config exists for the hub.
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-- weight_overrides keys: "annotation", "error", "regression", "stale"
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applyAdaptiveWeights ::
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(?modelContext :: ModelContext) =>
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Id Hub ->
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Int -> -- annotationCount
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Int -> -- errorEventCount
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Bool -> -- regressionFlag
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Int -> -- staleCandidateCount
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IO Int
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applyAdaptiveWeights hubId annCount errCount isRegressed staleCount = do
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mConfig <- query @AdaptiveThresholdConfig
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|> filterWhere (#hubId, hubId)
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|> fetchOneOrNothing
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let overrides = maybe (A.object []) (.weightOverrides) mConfig
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w k def = case overrides of
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A.Object o -> case KM.lookup (AK.fromText k) o of
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Just (A.Number n) -> round (n * fromIntegral def) :: Int
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_ -> def
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_ -> def
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annW = w "annotation" 5
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errW = w "error" 10
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regW = w "regression" 20
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staleW = w "stale" 8
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raw = annCount * annW
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+ errCount * errW
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+ (if isRegressed then regW else 0)
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+ staleCount * staleW
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pure (min 100 raw)
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