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