inter-hub-haskell/Application/Helper/CorrelationEngine.hs

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feat(WP-0013): IHF Phase 12 — Platform Memory and Continuous Learning Closes the long-range feedback loop: outcome signals now enrich the full traceability chain and feed back into routing, triage, and AI proposals. Schema (T01): - outcome_correlations (CHECK correlation_type) - pattern_performance_records - adaptive_threshold_configs - institutional_knowledge_entries (GIN tsvector FTS) - learning_insights (CHECK insight_type) - ALTER TABLE decision_records + requirement_candidates: outcome_summary JSONB - AFTER INSERT trigger trg_enrich_lineage on outcome_signals - contracts/core/ updated (outcome-summary-columns-v1, append-only addendum) Correlation engine (T02): - Application/Helper/CorrelationEngine.hs: pure annotation→outcome SQL - Web/Controller/OutcomeCorrelations.hs: ComputeCorrelationsAction + index Pattern performance (T03): - Web/Controller/PatternPerformance.hs: ComputePatternPerformanceAction Adaptive thresholds (T04): - Web/Controller/AdaptiveThresholds.hs: CalibrateThresholdsAction - Application/Helper/FrictionScore.hs: applyAdaptiveWeights Institutional knowledge (T05): - DistilDecisionAction in DecisionRecords controller - Web/Controller/InstitutionalKnowledge.hs: QueryKnowledgeBaseAction Lineage enrichment (T06): - Web/Controller/LineageEnrichment.hs: EnrichLineageAction (batch backfill) - enrich_lineage_on_outcome_batch() PL/pgSQL helper in migration Learning dashboard (T07): - Web/Controller/LearningDashboard.hs: 5-panel autoRefresh view - "Learning" nav link in FrontController API v2 learning endpoints (T08): - GET /api/v2/outcome-correlations, /pattern-performance, /knowledge-base/{id} - OpenAPI schemas: OutcomeCorrelation, PatternPerformanceRecord, InstitutionalKnowledgeEntry GAAF scorecard + docs (T09): - Core 3.8→3.9, Functional 3.6→3.8, overall 3.61→3.68 - CLAUDE.md: IHF v0.2 complete, no active workplan Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
2026-04-01 23:14:15 +00:00
module Application.Helper.CorrelationEngine where
import IHP.Prelude
import Generated.Types
import IHP.ModelSupport (sqlQuery)
import Database.PostgreSQL.Simple (Only(..))
-- | For a hub, compute the correlation score per annotation category:
-- fraction of traceability chains ending in a positive outcome signal
-- (signal_type IN ('success', 'adoption', 'satisfaction')).
computeAnnotationCorrelations ::
(?modelContext :: ModelContext) =>
Id Hub -> IO [(Text, Double, Int)]
-- ^ [(category, score, sample_count)]
computeAnnotationCorrelations hubId =
sqlQuery
"SELECT a.category, \
\ COALESCE(AVG(CASE WHEN os.signal_type IN ('success','adoption','satisfaction') \
\ THEN 1.0 ELSE 0.0 END), 0) AS score, \
\ COUNT(os.id)::int AS sample_count \
\ FROM annotations a \
\ JOIN widgets w ON w.id = a.widget_id \
\ JOIN requirement_candidates rc ON rc.source_widget_id = w.id \
\ JOIN requirements r ON r.candidate_id = rc.id \
\ JOIN decision_records dr ON dr.requirement_id = r.id \
\ JOIN deployment_records dep ON dep.decision_id = dr.id \
\ JOIN outcome_signals os ON os.deployment_id = dep.id \
\ WHERE w.hub_id = ? \
\ GROUP BY a.category \
\ ORDER BY score DESC"
[hubId]