feat(P7): IHF Phase 7 complete — advanced observability and operational integration
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T01 schema: friction_scores, bottleneck_records, hub_health_snapshots,
cross_hub_propagations + migration 1743552000.

T02 Widget Pain Heatmap: computeFrictionScore (formula documented), RecomputeFriction
action, colour-coded grid view (green/yellow/amber/red).

T03 Workflow Bottleneck Analysis: detectBottlenecks across 4 pipeline stages
(candidate 30d, requirement 60d, decision 30d, observation 14d), idempotent,
severity from age ratio, resolve action.

T04 Hub Health Correlation: computeHubHealth (deduction table documented),
append-only HubHealthSnapshot, health history view, badge on hub Show page.

T05 Cross-Hub Propagation: annotation_cluster + widget_type_friction heuristics,
idempotent detection, acknowledge/resolve lifecycle.

T06 Operational Review Board: 4-panel AutoRefresh global dashboard — health matrix,
top-10 friction, bottleneck stage counts, open propagations.

T07 gate: 5 describe blocks in Test/Integration.hs; SCOPE.md updated Phase 7
complete; docs/phase7-summary.md written.

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
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module Application.Helper.BottleneckDetector where
import IHP.Prelude
import IHP.ModelSupport
import Generated.Types
import Data.Time.Clock (addUTCTime, getCurrentTime, NominalDiffTime)
-- | Severity based on how much older than the threshold the record is.
staleSeverity :: NominalDiffTime -> NominalDiffTime -> Text
staleSeverity age threshold
| age > threshold * 2 = "critical"
| age > threshold * 1.5 = "high"
| otherwise = "medium"
-- | Detect pipeline bottlenecks for a hub and upsert BottleneckRecord rows.
-- Idempotent: skips subjects that already have an unresolved record.
detectBottlenecks
:: (?modelContext :: ModelContext)
=> Id Hub
-> [Widget]
-> [RequirementCandidate]
-> [Requirement]
-> [DecisionRecord]
-> [DeploymentRecord]
-> IO [BottleneckRecord]
detectBottlenecks hubId hubWidgets candidates requirements decisions deployments = do
now <- getCurrentTime
existing <- query @BottleneckRecord
|> filterWhere (#hubId, hubId)
|> filterWhereSql (#resolvedAt, "IS NULL")
|> fetch
let existingSubjects = map (.subjectId) existing
let candidateThreshold = 30 * 86400 :: NominalDiffTime
requirementThreshold = 60 * 86400 :: NominalDiffTime
decisionThreshold = 30 * 86400 :: NominalDiffTime
observationThreshold = 14 * 86400 :: NominalDiffTime
-- Stage 1: open candidates older than 30 days
let staleCandidates =
[ (c, addUTCTime (negate candidateThreshold) now)
| c <- candidates
, c.status == "open"
, c.createdAt < addUTCTime (negate candidateThreshold) now
, c.id `notElem` map coerce existingSubjects
]
-- Stage 2: requirements with no decision older than 60 days
let linkedReqIds = mapMaybe (.requirementId) decisions
stalRequirements =
[ (r, addUTCTime (negate requirementThreshold) now)
| r <- requirements
, r.createdAt < addUTCTime (negate requirementThreshold) now
, r.id `notElem` linkedReqIds
, r.id `notElem` map coerce existingSubjects
]
-- Stage 3: decisions with no deployment older than 30 days
let linkedDecisionIds = map (.decisionId) deployments
staleDecisions =
[ (d, addUTCTime (negate decisionThreshold) now)
| d <- decisions
, d.decidedAt < addUTCTime (negate decisionThreshold) now
, d.id `notElem` linkedDecisionIds
, d.id `notElem` map coerce existingSubjects
]
-- Stage 4: deployments with no outcome signal older than 14 days
signalWidgetIds <- sqlQuery
"SELECT DISTINCT widget_id FROM outcome_signals" ()
let signalWids = map (\(Only wid) -> wid) (signalWidgetIds :: [Only (Id Widget)])
let widgetIdSet = map (.id) hubWidgets
let staleDeployments =
[ (dep, addUTCTime (negate observationThreshold) now)
| dep <- deployments
, dep.deployedAt < addUTCTime (negate observationThreshold) now
, not (any (\wid -> wid `elem` signalWids) widgetIdSet)
, dep.id `notElem` map coerce existingSubjects
]
let mkBottleneck stage subjType subjId stalledSince threshold = do
let age = now `diffUTCTime` stalledSince
severity = staleSeverity age threshold
newRecord @BottleneckRecord
|> set #hubId hubId
|> set #stage stage
|> set #subjectType subjType
|> set #subjectId (coerce subjId)
|> set #stalledSince stalledSince
|> set #severity severity
|> createRecord
r1 <- mapM (\(c, t) -> mkBottleneck "candidate" "RequirementCandidate" c.id t candidateThreshold) staleCandidates
r2 <- mapM (\(r, t) -> mkBottleneck "requirement" "Requirement" r.id t requirementThreshold) stalRequirements
r3 <- mapM (\(d, t) -> mkBottleneck "decision" "DecisionRecord" d.id t decisionThreshold) staleDecisions
r4 <- mapM (\(d, t) -> mkBottleneck "observation" "DeploymentRecord" d.id t observationThreshold) staleDeployments
pure (r1 <> r2 <> r3 <> r4)
diffUTCTime :: UTCTime -> UTCTime -> NominalDiffTime
diffUTCTime a b = realToFrac (a `Data.Time.Clock.diffUTCTime` b)