JensandClaude Opus 5
b146b2143d
The backend now says when a result covers a different area than was drawn, or when a score belongs to one confidence cut only. None of that helps an operator while it stays in the response body. - the raster selection adapters carry the model-coverage and widened-cell warnings into the map panel and mark the result an estimate when either applies, so an existing warning slot renders them; - the map workspace shows the selection-edge disclosure next to the object count; - the detection panel shows average precision and the F1-optimal threshold beside the single-threshold figures, and the box-versus-footprint interpretation when candidates are detector boxes. Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
35 lines
1.4 KiB
TypeScript
35 lines
1.4 KiB
TypeScript
import type { ThematicRasterSelectionResponse, VectorSelectionResponse } from '../types'
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export function thematicRasterImageUrl(projectId: string, datasetId: string): string {
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return `/api/v1/projects/${projectId}/datasets/${datasetId}/raster/thematic/image`
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}
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export function walousRasterImageUrl(projectId: string, datasetId: string): string {
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return `/api/v1/projects/${projectId}/datasets/${datasetId}/raster/walous/image`
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}
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export function thematicRasterSelectionToMapSelection(result: ThematicRasterSelectionResponse): VectorSelectionResponse {
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return {
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selection_bbox: result.selection_bbox,
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selection_area_id: result.selection_area_id,
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feature_count: result.valid_cell_count,
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total_feature_count: result.valid_cell_count,
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limit: 0,
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truncated: false,
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geojson: { type: 'FeatureCollection', features: [] },
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summary: {
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...result.summary,
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feature_count: result.valid_cell_count,
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is_estimate: true,
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// A selection finer than one source cell was widened to the cells it
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// touches; the result then covers more ground than was drawn.
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warning: [result.cell_selection_warning, result.limitation_message].filter(Boolean).join(' '),
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selection_edge_warning: result.cell_selection_warning ?? null,
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metrics: result.summary.metrics.map((metric) => ({
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...metric,
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is_estimate: metric.is_estimate ?? true,
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})),
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},
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}
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}
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