fix: keep latest map dataset context

CHANGELOG.md

@@ -15,6 +15,7 @@
 - Added true drag-to-select behavior in MapLibre and exact total intersection counts alongside the bounded 1,000-feature map preview.
 - Made the official full Mol municipality area and the largest authoritative building layer the initial map context.
 - Added an idempotent operator provisioner for official Mol GRB roads, water and parcels through the existing API/DatasetService/PostGIS persistence flow.
+- Prevented stale asynchronous dataset-detail responses from replacing the latest selected map layer and its visible context.
 
 ## Sprint 185 Coverage-aware Mol operational benchmark (2026-07-14)
 

backend/tests/test_sprint186_map_first_geographic_explorer.py

@@ -40,6 +40,16 @@ def test_map_rectangle_drag_is_wired_to_automatic_analysis() -> None:
     assert "onMapBboxSelectRef.current?.(bbox)" in geomap
 
 
+def test_dataset_detail_responses_cannot_overwrite_the_latest_map_layer() -> None:
+    workflow = read("frontend/src/hooks/useDatasetWorkflow.ts")
+
+    assert "const datasetDetailRequestSequence = useRef(0)" in workflow
+    assert "const detailRequestId = ++datasetDetailRequestSequence.current" in workflow
+    assert "detailRequestId !== datasetDetailRequestSequence.current" in workflow
+    assert "detailRequestId === datasetDetailRequestSequence.current" in workflow
+    assert "datasetDetailRequestSequence.current += 1" in workflow
+
+
 def test_selection_contract_reports_total_intersections_separately_from_preview() -> None:
     schema = read("backend/app/schemas/operations.py")
     service = read("backend/app/services/vector_feature_service.py")

docs/CODEX_EXECUTION_LOG.md

@@ -7752,15 +7752,18 @@ Changed:
 - Added exact `total_feature_count` to the vector bbox-selection response while retaining the existing 1,000-feature geometry cap.
 - Added `provision_mol_context_layers.py` for official GRB roads (`Wegsegment`), water (`WTZ`, `WLAS`, `WGR`) and parcels (`ADP`) clipped to NIS 13025 and imported through the public dataset API.
 
-Validated so far:
+Validated:
 - Frontend typecheck and production build passed.
 - Focused map, orchestration and new explorer tests passed.
 - Official fetch-only smoke produced 8,444 Mol road features, 3,668 water features and 32,961 parcels with complete pagination and no truncation.
-- Full backend suite reached 516 tests; one legacy component-boundary guard initially failed and was resolved by moving theme API orchestration into `useMapThemeSelectionInsights`.
+- Full backend suite passed 517 tests; one legacy component-boundary guard initially failed and was resolved by moving theme API orchestration into `useMapThemeSelectionInsights`.
+- Tower was rebuilt from `main`; live PostGIS 3.6 connectivity, Alembic head `202606120900`, required geometry tables/indexes and browser proxy health all passed.
+- The official provisioner persisted 8,444 roads, 3,668 water features and 32,961 parcels alongside the existing 36,941 GRB buildings for the complete Mol municipality.
+- In-app browser validation of `Volledige gemeente` reported 114.55 km2, 36,941 buildings and a building density of 322.5/km2; the bounded preview clearly reported 1,000 of 36,941 features.
+- Dataset-detail loading now ignores stale asynchronous responses, preventing a slower municipality-boundary request from overwriting the currently selected building layer or its map context.
 
 Limitations:
 - Population and forest/green remain unavailable rather than simulated until suitable authoritative sources and semantics are selected.
-- Live Tower import and browser verification follow after the full readiness gate and deployment.
 
 Next:
-- Deploy, import the three official Mol context layers, validate rectangle analysis in the in-app browser and then define authoritative population and land-cover source adapters.
+- Define authoritative population and land-cover source adapters, then reuse the proven municipality provisioner and bbox analysis flow for the complete Kempen.

frontend/src/hooks/useDatasetWorkflow.ts

@@ -1,4 +1,4 @@
-import { FormEvent, useEffect, useMemo, useState } from 'react'
+import { FormEvent, useEffect, useMemo, useRef, useState } from 'react'
 import { datasetsApi, jobsApi } from '../services/api'
 import type {
   AreaRead,
@@ -99,6 +99,7 @@ export function useDatasetWorkflow({
   const [ndbiNirBand, setNdbiNirBand] = useState(4)
   const [loadingDatasetDetails, setLoadingDatasetDetails] = useState(false)
   const [datasetDetailError, setDatasetDetailError] = useState<string | null>(null)
+  const datasetDetailRequestSequence = useRef(0)
   const [datasetForm, setDatasetForm] = useState({
     datasetType: 'vector',
     source: 'user_upload',
@@ -139,8 +140,11 @@ export function useDatasetWorkflow({
     }
   }, [datasets, isVectorDatasetType, selectedDatasetId, selectedProjectId])
 
-  const loadDatasetJobs = async (projectId: string, datasetId: string) => {
+  const loadDatasetJobs = async (projectId: string, datasetId: string, detailRequestId?: number) => {
     const response = await jobsApi.list(projectId, { dataset_id: datasetId, limit: 20, offset: 0 })
+    if (detailRequestId != null && detailRequestId !== datasetDetailRequestSequence.current) {
+      return
+    }
     setJobs(response.items)
     const latestRasterTileJob = response.items.find(
       (job) => job.job_type === 'raster.tile' && extractRasterTileManifestPath(job),
@@ -152,6 +156,7 @@ export function useDatasetWorkflow({
   }
 
   const loadDatasetDetails = async (projectId: string, dataset: DatasetCreateResponse) => {
+    const detailRequestId = ++datasetDetailRequestSequence.current
     setLoadingDatasetDetails(true)
     setDatasetDetailError(null)
     setSelectedDataset(dataset)
@@ -167,26 +172,42 @@ export function useDatasetWorkflow({
     try {
       if (isVectorDatasetType(dataset.dataset_type)) {
         const summary = await datasetsApi.vectorSummary(projectId, dataset.id)
+        if (detailRequestId !== datasetDetailRequestSequence.current) {
+          return
+        }
         setSelectedDatasetSummary(summary)
         const featureCount = summary.feature_count ?? dataset.feature_count
         if (featureCount == null || featureCount <= VECTOR_VIEWPORT_FEATURE_THRESHOLD) {
           const content = await datasetsApi.getContent(projectId, dataset.id)
+          if (detailRequestId !== datasetDetailRequestSequence.current) {
+            return
+          }
           setDatasetContent(content)
         }
       } else if (dataset.dataset_type === 'raster') {
         try {
           const rasterInspection = await datasetsApi.rasterInspect(projectId, dataset.id)
+          if (detailRequestId !== datasetDetailRequestSequence.current) {
+            return
+          }
           setSelectedRasterMetadata(toRasterMetadata(rasterInspection.metadata))
         } catch (error) {
+          if (detailRequestId !== datasetDetailRequestSequence.current) {
+            return
+          }
           setSelectedRasterMetadata(null)
           setDatasetDetailError(formatError(error, 'Raster metadata unavailable'))
         }
       }
-      await loadDatasetJobs(projectId, dataset.id)
+      await loadDatasetJobs(projectId, dataset.id, detailRequestId)
     } catch (error) {
-      setDatasetDetailError(formatError(error, 'Unable to load dataset detail'))
+      if (detailRequestId === datasetDetailRequestSequence.current) {
+        setDatasetDetailError(formatError(error, 'Unable to load dataset detail'))
+      }
     } finally {
-      setLoadingDatasetDetails(false)
+      if (detailRequestId === datasetDetailRequestSequence.current) {
+        setLoadingDatasetDetails(false)
+      }
     }
   }
 
@@ -497,6 +518,7 @@ export function useDatasetWorkflow({
   }
 
   const resetDatasetForProject = () => {
+    datasetDetailRequestSequence.current += 1
     setSelectedDatasetId(null)
     setSelectedDataset(null)
     setSelectedDatasetSummary(null)
@@ -507,6 +529,8 @@ export function useDatasetWorkflow({
     setLatestRasterTileManifestPath('')
     setLatestRasterTileManifest(null)
     setJobs([])
+    setLoadingDatasetDetails(false)
+    setDatasetDetailError(null)
   }
 
   return {