Заменяет хардкод-цену продажи жилья (класс-норма) на реальную рыночную медиану из Objective по локации участка. compute_financial остаётся ЧИСТЫМ (без БД) — DB-lookup в API-слое, цена прокидывается параметром. - compute_financial: +optional market_price_per_sqm/price_source; цена = рынок если есть, иначе класс-норма. Паркинг/СМР НЕ калибруем (только жильё). - concepts.py _lookup_market_price(db, lon, lat): центроид → ближайший ekb_district (ST_DWithin 5км) → медиана objective_lots.price_per_m2_rub (n>=10, фильтр 30k-600k) → fallback ekb_districts.median_price_per_m2 → None. try/except → graceful (None, class_norm) при любой ошибке (вне ЕКБ/ нет гео/SQL) без краха генерации. psycopg3 CAST. - FinancialModel +price_per_sqm_used/price_is_calibrated/price_source (additive). - Threading market_price через generate→placement→compute_financial (optional kwargs, backward-compat). - UI/CSV: честный caption источника (рынок Objective / справочник района / норматив класса). Старый лживый footnote «не калиброванная модель» → условный. Prod-verified: калибруется 4 главных ЕКБ-района по name-match (Академический 204k лотов, Ленинский 38k, Кировский, Орджоникидзевский); остальные 5 admin- районов честно → district_reference. Гео-радиус matching (полное покрытие) — follow-up. api-types.ts регенерён авторитетно. mypy strict clean (generative.*), +14 тестов (калибровка/lookup 4 ветки/SQL-ошибки graceful/backward-compat). Refs #1881
244 lines
9.2 KiB
TypeScript
244 lines
9.2 KiB
TypeScript
/**
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* Concept (Generative Design) API — TanStack Query wrappers.
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*
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* Contract mirrors `backend/app/schemas/concept.py` exactly (Stage 1a frozen
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* interface). Types are defined inline rather than via `npm run codegen`
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* because codegen targets a live OpenAPI on localhost:8000 (`src/lib/
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* api-types.ts`) which is unreachable in this env — same approach as the
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* parcel-chat contract in `site-finder-api.ts`.
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*
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* Endpoint: POST /api/v1/concepts → ConceptOutput.
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* Export endpoints (DXF/PDF) are not in the Stage-1a contract yet; the export
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* buttons fall back to client-side GeoJSON/CSV generation and probe the
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* documented `/concepts/{...}/export` path opportunistically (see
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* ConceptExportButtons).
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*/
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import { useMutation } from "@tanstack/react-query";
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import type { Feature, FeatureCollection, Polygon } from "geojson";
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import { apiFetch, apiFetchWithStatus } from "@/lib/api";
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// ── Input contract (ConceptInput) ───────────────────────────────────────────
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export type HousingClass = "econom" | "comfort" | "business";
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export type DevelopmentType = "spot" | "mid_rise" | "high_rise";
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export type ConceptStrategy = "max_area" | "max_insolation" | "balanced";
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export interface ConceptInput {
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/** GeoJSON Polygon of the parcel (WGS84 / EPSG:4326). */
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parcel_geojson: Polygon;
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housing_class: HousingClass;
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/** Целевая этажность 1–30. */
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target_floors: number;
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development_type: DevelopmentType;
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/** Стоимость участка (₽) — опционально, для финмодели. */
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land_cost_rub?: number | null;
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}
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// ── Output contract (ConceptOutput) ─────────────────────────────────────────
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/** Технико-экономические показатели (ТЭП). */
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export interface Teap {
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built_area_sqm: number;
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total_floor_area_sqm: number;
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residential_area_sqm: number;
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apartments_count: number;
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density: number;
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parking_spaces: number;
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}
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export interface FinancialModel {
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// Legacy summary (backward-compat)
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revenue_rub: number;
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cost_rub: number;
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gross_margin_rub: number;
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irr: number;
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// Revenue breakdown
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revenue_residential_rub: number;
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revenue_parking_rub: number;
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// Cost cascade
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construction_rub: number;
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pir_rub: number;
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networks_rub: number;
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developer_services_rub: number;
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contingency_rub: number;
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marketing_rub: number;
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land_rub: number;
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// БДР / taxes → net profit
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vat_rub: number;
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profit_before_tax_rub: number;
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profit_tax_rub: number;
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net_profit_rub: number;
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// Metrics
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roi: number;
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margin_pct: number;
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irr_is_proxy: boolean;
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// Price calibration (PR-2, эпик #1881)
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/** Цена продажи жилья, ₽/м², фактически использованная в выручке. */
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price_per_sqm_used: number;
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/** true — калибровано по рынку; false — норматив класса. */
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price_is_calibrated: boolean;
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/** "objective_district_median" | "district_reference" | "class_norm". */
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price_source: PriceSource;
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}
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export type PriceSource =
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| "objective_district_median"
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| "district_reference"
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| "class_norm";
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export interface ConceptVariant {
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strategy: ConceptStrategy;
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/** FeatureCollection полигонов зданий (WGS84). */
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buildings_geojson: FeatureCollection;
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teap: Teap;
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financial: FinancialModel;
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}
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export interface ConceptOutput {
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variants: ConceptVariant[];
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}
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// ── Strategy display metadata ────────────────────────────────────────────────
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export const STRATEGY_LABELS: Record<ConceptStrategy, string> = {
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max_area: "Макс. площадь",
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max_insolation: "Макс. инсоляция",
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balanced: "Баланс",
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};
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export const STRATEGY_HINTS: Record<ConceptStrategy, string> = {
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max_area: "Максимальная плотность застройки в пределах нормативов.",
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max_insolation: "Приоритет инсоляции и разрывов между корпусами.",
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balanced: "Компромисс между ТЭП и качеством среды.",
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};
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export const HOUSING_CLASS_LABELS: Record<HousingClass, string> = {
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econom: "Эконом",
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comfort: "Комфорт",
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business: "Бизнес",
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};
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export const DEVELOPMENT_TYPE_LABELS: Record<DevelopmentType, string> = {
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spot: "Точечная",
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mid_rise: "Среднеэтажная",
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high_rise: "Высотная",
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};
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/**
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* Honest caption for the sale price source (PR-2). Never passes a class norm off
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* as a market figure — when the price is not calibrated the caption says so.
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*/
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export function priceSourceCaption(financial: FinancialModel): string {
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switch (financial.price_source) {
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case "objective_district_median":
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return "рынок: медиана объявлений Objective по району";
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case "district_reference":
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return "рынок: справочная медиана района (нет свежей выборки Objective)";
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case "class_norm":
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default:
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return "норматив класса (нет рыночных данных по участку)";
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}
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}
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// ── Hook: useCreateConcept ────────────────────────────────────────────────────
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/**
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* POST /api/v1/concepts — generate building variants for a parcel polygon.
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* Action (not a query) → drive from `useMutation` per the data-layer rule.
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* Uses the shared `apiFetch` (base URL + session header + Content-Type) rather
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* than re-adding fetch config.
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*/
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export function useCreateConcept() {
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return useMutation<ConceptOutput, Error, ConceptInput>({
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mutationFn: (payload) =>
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apiFetch<ConceptOutput>("/api/v1/concepts", {
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method: "POST",
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body: JSON.stringify(payload),
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}),
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});
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}
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// ── Hook: useCadastreGeom ─────────────────────────────────────────────────────
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/**
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* Resolves a cadastre number to its parcel polygon by POSTing the Site Finder
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* analyze endpoint (`/api/v1/parcels/{cad}/analyze`) and reading `geom_geojson`.
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* Re-uses the existing endpoint rather than adding a new backend route.
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*
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* The analyze endpoint returns 202 while НСПД geometry is still being fetched
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* (see useParcelAnalyzeQuery). For the concept input we keep the UX simple: a
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* 202 surfaces a "try again" error instead of a 2-minute poll loop — the user
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* can re-submit once geometry is cached, or draw the polygon manually.
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*/
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export function useCadastreGeom() {
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return useMutation<Polygon, Error, string>({
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mutationFn: async (cad) => {
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const url = `/api/v1/parcels/${encodeURIComponent(cad)}/analyze?horizon=12`;
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const { status, body } = await apiFetchWithStatus<{
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geom_geojson?: unknown;
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}>(url, { method: "POST" });
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if (status === 202) {
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throw new Error(
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"Геометрия участка ещё загружается из НСПД. Повторите через несколько секунд.",
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);
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}
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const polygon = extractPolygon(body?.geom_geojson);
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if (!polygon) {
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throw new Error(
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"Не удалось получить геометрию участка по этому номеру.",
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);
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}
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return polygon;
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},
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});
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}
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// ── Polygon helpers ───────────────────────────────────────────────────────────
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/**
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* Narrows an unknown GeoJSON value (e.g. the analyze endpoint's `geom_geojson`)
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* into a Polygon. Accepts a bare Polygon, a Feature wrapping a Polygon, or the
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* first polygon ring of a MultiPolygon. Returns null on any other shape.
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*/
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export function extractPolygon(geom: unknown): Polygon | null {
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if (geom == null || typeof geom !== "object") return null;
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const g = geom as {
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type?: unknown;
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coordinates?: unknown;
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geometry?: unknown;
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};
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if (g.type === "Feature") {
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return extractPolygon((g as Feature).geometry);
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}
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if (g.type === "Polygon" && Array.isArray(g.coordinates)) {
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return {
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type: "Polygon",
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coordinates: g.coordinates as Polygon["coordinates"],
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};
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}
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if (g.type === "MultiPolygon" && Array.isArray(g.coordinates)) {
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const first = (g.coordinates as Polygon["coordinates"][])[0];
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if (first) return { type: "Polygon", coordinates: first };
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}
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return null;
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}
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/** Approximate parcel area in m² from a WGS84 polygon (spherical-excess shoelace). */
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export function polygonAreaSqm(polygon: Polygon): number {
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const ring = polygon.coordinates[0];
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if (!ring || ring.length < 4) return 0;
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const R = 6_378_137; // WGS84 equatorial radius (m)
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const toRad = (deg: number) => (deg * Math.PI) / 180;
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let area = 0;
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for (let i = 0; i < ring.length - 1; i++) {
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const [lon1, lat1] = ring[i];
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const [lon2, lat2] = ring[i + 1];
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area +=
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toRad(lon2 - lon1) * (2 + Math.sin(toRad(lat1)) + Math.sin(toRad(lat2)));
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}
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return Math.abs((area * R * R) / 2);
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}
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