inter-hub-haskell/Web/Controller/Api/V2/Learning.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.Api.V2.Learning where
-- IHF Phase 12 — Platform Memory (IHUB-WP-0013 T08)
import Web.Types
import Generated.Types
import IHP.Prelude
import IHP.ControllerPrelude
import Data.Aeson (object, (.=))
import Web.Controller.Api.V2.Auth (requireApiConsumer, paginatedResponse, getPageParams)
import IHP.ModelSupport (sqlQuery)
instance Controller ApiV2LearningController where
action ApiV2IndexOutcomeCorrelationsAction = do
_consumer <- requireApiConsumer
let mHubId = paramOrNothing @(Id Hub) "hub_id"
mCat = paramOrNothing @Text "category"
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
(page, perPage) <- getPageParams
let off = (page - 1) * perPage
baseQuery <- pure $ query @OutcomeCorrelation
filtered <- pure $ case mHubId of
Nothing -> baseQuery
Just hid -> baseQuery |> filterWhere (#hubId, hid)
filteredCat <- pure $ case mCat of
Nothing -> filtered
Just cat -> filtered |> filterWhere (#annotationCategory, cat)
total <- filteredCat |> fetchCount
rows <- filteredCat |> orderByDesc #correlationScore |> limit perPage |> offset off |> fetch
renderJson $ paginatedResponse (map correlationToJson rows) page perPage total
action ApiV2IndexPatternPerformanceAction = do
_consumer <- requireApiConsumer
(page, perPage) <- getPageParams
let off = (page - 1) * perPage
total <- query @PatternPerformanceRecord |> fetchCount
rows <- query @PatternPerformanceRecord
|> orderByAsc #outcomeRank
|> limit perPage
|> offset off
|> fetch
renderJson $ paginatedResponse (map patternPerfToJson rows) page perPage total
action ApiV2IndexKnowledgeBaseAction = do
_consumer <- requireApiConsumer
let mQ = paramOrNothing @Text "q"
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
(page, perPage) <- getPageParams
let off = (page - 1) * perPage
rows <- case mQ of
Nothing -> query @InstitutionalKnowledgeEntry
|> orderByDesc #createdAt
|> limit perPage
|> offset off
|> fetch
Just q -> sqlQuery
"SELECT * FROM institutional_knowledge_entries \
\ WHERE summary_tsv @@ plainto_tsquery('english', ?) \
\ ORDER BY ts_rank(summary_tsv, plainto_tsquery('english', ?)) DESC \
\ LIMIT ? OFFSET ?"
(q, q, perPage, off)
renderJson (map knowledgeToJson rows)
action ApiV2ShowKnowledgeBaseAction { knowledgeEntryId } = do
_consumer <- requireApiConsumer
entry <- fetch knowledgeEntryId
renderJson (knowledgeToJson entry)
correlationToJson :: OutcomeCorrelation -> Value
correlationToJson c = object
[ "id" .= c.id
, "hubId" .= c.hubId
, "annotationCategory" .= c.annotationCategory
, "correlationType" .= c.correlationType
, "correlationScore" .= c.correlationScore
, "sampleCount" .= c.sampleCount
, "computedAt" .= c.computedAt
]
patternPerfToJson :: PatternPerformanceRecord -> Value
patternPerfToJson r =
let positiveRate = if r.totalOutcomeCount > 0
then fromIntegral r.positiveOutcomeCount / fromIntegral r.totalOutcomeCount :: Double
else 0.0
in object
[ "id" .= r.id
, "widgetPatternId" .= r.widgetPatternId
, "hubId" .= r.hubId
, "adoptionCount" .= r.adoptionCount
, "positiveOutcomeCount" .= r.positiveOutcomeCount
, "totalOutcomeCount" .= r.totalOutcomeCount
, "positiveOutcomeRate" .= positiveRate
, "meanOutcomeValue" .= r.meanOutcomeValue
, "outcomeRank" .= r.outcomeRank
, "calibratedAt" .= r.calibratedAt
]
knowledgeToJson :: InstitutionalKnowledgeEntry -> Value
knowledgeToJson e = object
[ "id" .= e.id
, "hubId" .= e.hubId
, "decisionRecordId" .= e.decisionRecordId
, "summary" .= e.summary
, "tags" .= e.tags
, "createdAt" .= e.createdAt
, "updatedAt" .= e.updatedAt
]