inter-hub-haskell/Web/Controller/InstitutionalKnowledge.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.InstitutionalKnowledge where
-- IHF Phase 12 — Platform Memory (IHUB-WP-0013 T05)
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.InstitutionalKnowledge.Index
import Web.View.InstitutionalKnowledge.Show
import IHP.ModelSupport (sqlQuery)
instance Controller InstitutionalKnowledgeController where
beforeAction = ensureIsUser
action InstitutionalKnowledgeAction = do
entries <- query @InstitutionalKnowledgeEntry
|> orderByDesc #createdAt
|> limit 50
|> fetch
hubs <- query @Hub |> fetch
render IndexView { entries, hubs, mQuery = Nothing }
action ShowInstitutionalKnowledgeAction { knowledgeEntryId } = do
entry <- fetch knowledgeEntryId
hub <- fetch entry.hubId
mDecision <- case entry.decisionRecordId of
Nothing -> pure Nothing
Just did -> fetchOneOrNothing did
render ShowView { entry, hub, mDecision }
action QueryKnowledgeBaseAction = do
let q = param @Text "q"
mHubStr = paramOrNothing @Text "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
hubs <- query @Hub |> fetch
entries <- case mHubStr of
Nothing ->
sqlQuery
"SELECT * FROM institutional_knowledge_entries \
\ WHERE summary_tsv @@ plainto_tsquery('english', ?) \
\ ORDER BY ts_rank(summary_tsv, plainto_tsquery('english', ?)) DESC \
\ LIMIT 20"
(q, q)
Just hid ->
sqlQuery
"SELECT * FROM institutional_knowledge_entries \
\ WHERE hub_id = ? \
\ AND summary_tsv @@ plainto_tsquery('english', ?) \
\ ORDER BY ts_rank(summary_tsv, plainto_tsquery('english', ?)) DESC \
\ LIMIT 20"
(hid, q, q)
render IndexView { entries, hubs, mQuery = Just q }