generated from coulomb/repo-seed
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>
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Web/Controller/PatternPerformance.hs
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66
Web/Controller/PatternPerformance.hs
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module Web.Controller.PatternPerformance where
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-- IHF Phase 12 — Platform Memory (IHUB-WP-0013 T03)
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import Web.Controller.Prelude
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import Web.View.PatternPerformance.Index
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import IHP.ModelSupport (sqlQuery)
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instance Controller PatternPerformanceController where
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beforeAction = ensureIsUser
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action PatternPerformanceAction = do
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records <- query @PatternPerformanceRecord
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|> orderByAsc #outcomeRank
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|> fetch
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hubs <- query @Hub |> orderByAsc #name |> fetch
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render IndexView { records, hubs }
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action ComputePatternPerformanceAction { hubIdForPerformance } = do
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let hubId = hubIdForPerformance
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rows <- sqlQuery
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"SELECT \
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\ wp.id AS pattern_id, \
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\ COUNT(DISTINCT pa.id)::int AS adoption_count, \
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\ COUNT(os.id)::int AS total_outcome_count, \
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\ COUNT(os.id) FILTER ( \
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\ WHERE os.signal_type IN ('success','adoption','satisfaction') \
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\ )::int AS positive_outcome_count, \
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\ AVG(os.value) AS mean_outcome_value \
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\ FROM widget_patterns wp \
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\ JOIN pattern_adoptions pa ON pa.widget_pattern_id = wp.id \
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\ JOIN widgets w ON w.hub_id = pa.adopting_hub_id \
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\ AND w.widget_type = wp.widget_type \
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\ JOIN deployment_records dep ON dep.id IN ( \
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\ SELECT dep2.id FROM deployment_records dep2 \
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\ JOIN decision_records dr2 ON dr2.id = dep2.decision_id \
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\ JOIN requirements r2 ON r2.id = dr2.requirement_id \
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\ JOIN requirement_candidates rc2 ON rc2.id = r2.candidate_id \
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\ WHERE rc2.source_widget_id = w.id \
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\ ) \
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\ JOIN outcome_signals os ON os.deployment_id = dep.id \
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\ WHERE pa.adopting_hub_id = ? \
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\ GROUP BY wp.id"
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[hubId]
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:: IO [(Id WidgetPattern, Int, Int, Int, Maybe Double)]
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now <- getCurrentTime
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-- Delete existing records for this hub then insert fresh
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deleteWhere @PatternPerformanceRecord (#hubId, hubId)
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-- Insert with rank computation
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let sorted = sortBy (\(_, _, _, pos1, _) (_, _, _, pos2, _) -> compare pos2 pos1) rows
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ranked = zip [1..] sorted
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forM_ ranked \(rank, (patId, adoptions, total, positive, meanVal)) ->
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newRecord @PatternPerformanceRecord
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|> set #widgetPatternId patId
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|> set #hubId hubId
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|> set #adoptionCount adoptions
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|> set #positiveOutcomeCount positive
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|> set #totalOutcomeCount total
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|> set #meanOutcomeValue meanVal
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|> set #outcomeRank (Just rank)
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|> set #calibratedAt now
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|> createRecord
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setSuccessMessage ("Pattern performance computed: " <> show (length rows) <> " patterns")
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redirectTo PatternPerformanceAction
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