generated from coulomb/repo-seed
tegwick
2106000cc7
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Fix 13 modules that blocked compilation on Alpine: - FrontController: remove annotationLauncherScript helper (IHP Html is a constrained type synonym); add (?context, ?request) constraint to defaultLayout matching what setLayout expects - HubCapabilityManifests: switch JSONB fill to paramList+toJSON; fix dynamic SQL Text→Query via fromString/cs; void sqlExec; add Control.Monad.void - Hubs: replace raw Array sqlQuery with filterWhereIn query builder; fix isInList validators - DecisionRecords: remove unregistered DistilDecisionAction; fix hub resolution chain via candidateId→sourceWidgetId; BridgeResponse(..) - RequirementCandidates: BridgeResponse(..); remove @Widget type apps from fetchOneOrNothing; void ConfidenceAnnotation createRecord - AdaptiveThresholds: fix sqlQuery tuple param (Only hubId) - AgentDelegations, AgentRegistrations, Widgets: BridgeResponse(..) - Annotations, DeploymentRecords, GovernanceTemplates: minor type fixes - DecisionRecords/Edit view: extract formAction before HSX block Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
88 lines
3.6 KiB
Haskell
88 lines
3.6 KiB
Haskell
module Web.Controller.AdaptiveThresholds where
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-- IHF Phase 12 — Platform Memory (IHUB-WP-0013 T04)
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import Web.Controller.Prelude
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import Web.View.AdaptiveThresholds.Index
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import IHP.ModelSupport (sqlQuery)
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import Database.PostgreSQL.Simple (Only(..))
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import qualified Data.Aeson as A
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instance Controller AdaptiveThresholdsController where
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beforeAction = ensureIsUser
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action AdaptiveThresholdsAction = do
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hubs <- query @Hub |> orderByAsc #name |> fetch
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configs <- query @AdaptiveThresholdConfig |> fetch
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insights <- query @LearningInsight
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|> filterWhere (#insightType, "threshold_calibration")
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|> orderByDesc #computedAt
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|> limit 10
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|> fetch
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render IndexView { hubs, configs, insights }
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action CalibrateThresholdsAction { hubIdForThreshold } = do
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let hubId = hubIdForThreshold
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-- Step 1: find weak-predictor categories (score < 0.3)
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weakCats <- sqlQuery
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"SELECT annotation_category FROM outcome_correlations \
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\ WHERE hub_id = ? AND correlation_score < 0.3"
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(Only hubId)
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:: IO [Only Text]
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-- Step 2: compute bottleneck threshold override = mean friction score
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-- for widgets with at least one negative outcome signal
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[Only mBottleneckOverride] <- sqlQuery
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"SELECT AVG(fs.score) \
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\ FROM friction_scores fs \
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\ JOIN widgets w ON w.id = fs.widget_id \
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\ WHERE w.hub_id = ? \
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\ AND EXISTS ( \
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\ SELECT 1 FROM outcome_signals os \
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\ JOIN deployment_records dep ON dep.id = os.deployment_id \
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\ JOIN decision_records dr ON dr.id = dep.decision_id \
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\ JOIN requirements r ON r.id = dr.requirement_id \
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\ JOIN requirement_candidates rc ON rc.id = r.candidate_id \
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\ WHERE rc.source_widget_id = w.id \
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\ AND os.signal_type NOT IN ('success','adoption','satisfaction') \
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\ )"
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(Only hubId)
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:: IO [Only (Maybe Double)]
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now <- getCurrentTime
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let weakNote = "Weak predictor categories (score < 0.3): "
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<> intercalate ", " (map fromOnly weakCats)
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-- Step 3: upsert AdaptiveThresholdConfig
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existing <- query @AdaptiveThresholdConfig
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|> filterWhere (#hubId, hubId)
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|> fetchOneOrNothing
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case existing of
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Just cfg ->
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cfg
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|> set #bottleneckThresholdOverride mBottleneckOverride
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|> set #calibrationDate now
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|> set #notes (Just weakNote)
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|> updateRecord
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Nothing ->
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newRecord @AdaptiveThresholdConfig
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|> set #hubId hubId
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|> set #weightOverrides (A.Object mempty)
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|> set #bottleneckThresholdOverride mBottleneckOverride
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|> set #calibrationDate now
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|> set #notes (Just weakNote)
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|> createRecord
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-- Step 4: write LearningInsight
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newRecord @LearningInsight
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|> set #hubId hubId
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|> set #insightType "threshold_calibration"
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|> set #title "Adaptive threshold calibration completed"
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|> set #body ("Calibrated friction thresholds. " <> weakNote
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<> maybe "" (\b -> " Bottleneck override: " <> show b) mBottleneckOverride)
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|> set #evidenceLinks (A.toJSON ([] :: [A.Value]))
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|> createRecord
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setSuccessMessage "Threshold calibration complete"
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redirectTo AdaptiveThresholdsAction
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