fix(map): bound overview feature payloads

frontend/src/components/map/MapWorkspace.tsx

@@ -45,6 +45,7 @@ import {
   selectionAnalysisScale,
   selectionAreaSquareMetres,
   selectionDimensions,
+  selectionFeatureLimit,
   selectionMetricLabel,
   splitSelectionBbox,
 } from './mapWorkspaceUtils'
@@ -1830,12 +1831,14 @@ export function MapWorkspace({
       }
     }
     const availableThemes: Array<MapThemeQuery<DataThemeId>> = []
+    const resultFeatureLimit = selectionFeatureLimit(bbox)
     for (const theme of DATA_THEMES) {
       const dataset = themeDatasetMap[theme.id]
       if (dataset && persistedDatasetSupportsSelection(dataset, bbox)) {
         availableThemes.push({
           themeId: theme.id,
           dataset,
+          featureLimit: resultFeatureLimit,
           partitioned: regionalScopeSelected
             && (isPartitionedRaster(dataset) || isPartitionedBathymetry(dataset)),
         })
@@ -1852,6 +1855,7 @@ export function MapWorkspace({
               displayName: onDemandProduct.displayName,
             },
             acquisitionBboxes: onDemandProduct.acquisitionBboxes,
+            featureLimit: resultFeatureLimit,
           })
         }
         continue

frontend/src/components/map/mapWorkspaceUtils.test.ts

@@ -12,6 +12,7 @@ import {
   selectionAnalysisScale,
   selectionAreaSquareMetres,
   selectionDimensions,
+  selectionFeatureLimit,
   splitSelectionBbox,
 } from './mapWorkspaceUtils'
 import type { VectorSelectionBBox, VectorSelectionResponse } from '../../types'
@@ -156,5 +157,7 @@ describe('map workspace selection guards', () => {
       { dataset_type: 'vector', source_name: 'statbel' },
       overview,
     )).toBe(true)
+    expect(selectionFeatureLimit(overview)).toBe(25)
+    expect(selectionFeatureLimit({ ...overview, min_x: 5, max_x: 5.1, min_y: 51, max_y: 51.1 })).toBe(1000)
   })
 })

frontend/src/components/map/mapWorkspaceUtils.ts

@@ -117,6 +117,13 @@ export function persistedDatasetSupportsSelection(
   return scale === 'detail'
 }
 
+export function selectionFeatureLimit(bbox: VectorSelectionBBox): number {
+  const scale = selectionAnalysisScale(bbox)
+  if (scale === 'overview') return 25
+  if (scale === 'regional') return 250
+  return 1000
+}
+
 export function splitSelectionBbox(
   bbox: VectorSelectionBBox,
   maxTileSideMetres = 18_000,

frontend/src/hooks/useMapThemeSelectionInsights.ts

@@ -27,6 +27,7 @@ export interface MapThemeQuery<TThemeId extends string> {
   partitioned?: boolean
   acquisition?: MapThemeAcquisition
   acquisitionBboxes?: VectorSelectionBBox[]
+  featureLimit?: number
 }
 
 export interface MapThemeInsight<TThemeId extends string> {
@@ -104,9 +105,10 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
       const settled = await settleWithConcurrency(
         queries,
         3,
-        async ({ themeId, dataset: existingDataset, partitioned, acquisition, acquisitionBboxes }) => {
+        async ({ themeId, dataset: existingDataset, partitioned, acquisition, acquisitionBboxes, featureLimit }) => {
           let dataset = existingDataset
           let acquiredDatasets: DatasetCreateResponse[] = []
+          const resultLimit = featureLimit ?? 1000
           if (acquisition) {
             const requestedBboxes = acquisitionBboxes?.length ? acquisitionBboxes : [bbox]
             const acquisitionResults = await settleWithConcurrency(requestedBboxes, 1, async (acquisitionBbox) => {
@@ -209,18 +211,18 @@ export function useMapThemeSelectionInsights<TThemeId extends string>(
                   dataset_ids: acquiredDatasetIds,
                   bbox,
                   area_id: areaId,
-                  limit: 1000,
+                  limit: resultLimit,
                 })
             : dataset.source_name === 'vmm_vha_bathymetry_profiles' && partitioned
               ? await datasetsApi.selectBathymetryProfilePartitions(selectedProjectId, {
                   bbox,
                   area_id: areaId,
-                  limit: 1000,
+                  limit: resultLimit,
                 })
             : await datasetsApi.selectVectorFeatures(selectedProjectId, dataset.id, {
                 bbox,
                 area_id: areaId,
-                limit: 1000,
+                limit: resultLimit,
               }),
           }
         },