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