inter-hub-haskell/Web/Controller/OutcomeCorrelations.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.OutcomeCorrelations where
-- IHF Phase 12 — Platform Memory (IHUB-WP-0013 T02)
import Web.Types
import Generated.Types
import IHP.Prelude
import IHP.ControllerPrelude
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
import Web.View.OutcomeCorrelations.Index
import Application.Helper.CorrelationEngine (computeAnnotationCorrelations)
import Data.Aeson ((.=), object)
import qualified Data.Aeson as A
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
instance Controller OutcomeCorrelationsController where
beforeAction = ensureIsUser
action OutcomeCorrelationsAction = do
let mHubFilter = paramOrNothing @(Id Hub) "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
correlations <- case mHubFilter of
Nothing -> query @OutcomeCorrelation
|> orderByDesc #correlationScore
|> fetch
Just hid -> query @OutcomeCorrelation
|> filterWhere (#hubId, hid)
|> orderByDesc #correlationScore
|> fetch
hubs <- query @Hub |> orderByAsc #name |> fetch
render IndexView { correlations, hubs, mHubFilter }
action ComputeCorrelationsAction { hubId } = do
rows <- liftIO $ computeAnnotationCorrelations hubId
now <- getCurrentTime
-- Upsert: delete existing rows for this hub then insert fresh
query @OutcomeCorrelation |> 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
forM_ rows \(category, score, sampleCount) ->
newRecord @OutcomeCorrelation
|> set #hubId hubId
|> set #annotationCategory category
|> set #correlationType "annotation_predictor"
|> set #correlationScore score
|> set #sampleCount sampleCount
|> set #computedAt now
|> createRecord
-- Generate LearningInsight for top-scoring category
case rows of
((topCat, topScore, _) : _) | topScore >= 0.4 ->
newRecord @LearningInsight
|> set #hubId hubId
|> set #insightType "annotation_predictor"
|> set #title ("Strong predictor: annotation category '" <> topCat <> "'")
|> set #body ("Annotation category '" <> topCat <> "' shows a correlation score of "
<> show topScore <> " with positive outcomes. Consider weighting this category "
<> "higher in triage and routing decisions.")
|> set #evidenceLinks (A.toJSON
[object ["type" .= ("outcome_correlation" :: Text), "category" .= topCat]])
|> createRecord
>> pure ()
_ -> pure ()
setSuccessMessage ("Correlations computed: " <> show (length rows) <> " categories")
redirectTo OutcomeCorrelationsAction