generated from coulomb/repo-seed
Bernd Worsch
98fb159582
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T01 schema: friction_scores, bottleneck_records, hub_health_snapshots, cross_hub_propagations + migration 1743552000. T02 Widget Pain Heatmap: computeFrictionScore (formula documented), RecomputeFriction action, colour-coded grid view (green/yellow/amber/red). T03 Workflow Bottleneck Analysis: detectBottlenecks across 4 pipeline stages (candidate 30d, requirement 60d, decision 30d, observation 14d), idempotent, severity from age ratio, resolve action. T04 Hub Health Correlation: computeHubHealth (deduction table documented), append-only HubHealthSnapshot, health history view, badge on hub Show page. T05 Cross-Hub Propagation: annotation_cluster + widget_type_friction heuristics, idempotent detection, acknowledge/resolve lifecycle. T06 Operational Review Board: 4-panel AutoRefresh global dashboard — health matrix, top-10 friction, bottleneck stage counts, open propagations. T07 gate: 5 describe blocks in Test/Integration.hs; SCOPE.md updated Phase 7 complete; docs/phase7-summary.md written. Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
65 lines
2.6 KiB
Haskell
65 lines
2.6 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 Generated.Types
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import Data.Time.Clock (addUTCTime, getCurrentTime)
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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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