gendesign/frontend/src/lib/concept-api.ts
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feat(generative): calibrate finmodel sale price from Objective market data (epic #1881 PR-2)
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
2026-06-23 21:10:25 +05:00

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/**
* Concept (Generative Design) API — TanStack Query wrappers.
*
* Contract mirrors `backend/app/schemas/concept.py` exactly (Stage 1a frozen
* interface). Types are defined inline rather than via `npm run codegen`
* because codegen targets a live OpenAPI on localhost:8000 (`src/lib/
* api-types.ts`) which is unreachable in this env — same approach as the
* parcel-chat contract in `site-finder-api.ts`.
*
* Endpoint: POST /api/v1/concepts → ConceptOutput.
* Export endpoints (DXF/PDF) are not in the Stage-1a contract yet; the export
* buttons fall back to client-side GeoJSON/CSV generation and probe the
* documented `/concepts/{...}/export` path opportunistically (see
* ConceptExportButtons).
*/
import { useMutation } from "@tanstack/react-query";
import type { Feature, FeatureCollection, Polygon } from "geojson";
import { apiFetch, apiFetchWithStatus } from "@/lib/api";
// ── Input contract (ConceptInput) ───────────────────────────────────────────
export type HousingClass = "econom" | "comfort" | "business";
export type DevelopmentType = "spot" | "mid_rise" | "high_rise";
export type ConceptStrategy = "max_area" | "max_insolation" | "balanced";
export interface ConceptInput {
/** GeoJSON Polygon of the parcel (WGS84 / EPSG:4326). */
parcel_geojson: Polygon;
housing_class: HousingClass;
/** Целевая этажность 130. */
target_floors: number;
development_type: DevelopmentType;
/** Стоимость участка (₽) — опционально, для финмодели. */
land_cost_rub?: number | null;
}
// ── Output contract (ConceptOutput) ─────────────────────────────────────────
/** Технико-экономические показатели (ТЭП). */
export interface Teap {
built_area_sqm: number;
total_floor_area_sqm: number;
residential_area_sqm: number;
apartments_count: number;
density: number;
parking_spaces: number;
}
export interface FinancialModel {
// Legacy summary (backward-compat)
revenue_rub: number;
cost_rub: number;
gross_margin_rub: number;
irr: number;
// Revenue breakdown
revenue_residential_rub: number;
revenue_parking_rub: number;
// Cost cascade
construction_rub: number;
pir_rub: number;
networks_rub: number;
developer_services_rub: number;
contingency_rub: number;
marketing_rub: number;
land_rub: number;
// БДР / taxes → net profit
vat_rub: number;
profit_before_tax_rub: number;
profit_tax_rub: number;
net_profit_rub: number;
// Metrics
roi: number;
margin_pct: number;
irr_is_proxy: boolean;
// Price calibration (PR-2, эпик #1881)
/** Цена продажи жилья, ₽/м², фактически использованная в выручке. */
price_per_sqm_used: number;
/** true — калибровано по рынку; false — норматив класса. */
price_is_calibrated: boolean;
/** "objective_district_median" | "district_reference" | "class_norm". */
price_source: PriceSource;
}
export type PriceSource =
| "objective_district_median"
| "district_reference"
| "class_norm";
export interface ConceptVariant {
strategy: ConceptStrategy;
/** FeatureCollection полигонов зданий (WGS84). */
buildings_geojson: FeatureCollection;
teap: Teap;
financial: FinancialModel;
}
export interface ConceptOutput {
variants: ConceptVariant[];
}
// ── Strategy display metadata ────────────────────────────────────────────────
export const STRATEGY_LABELS: Record<ConceptStrategy, string> = {
max_area: "Макс. площадь",
max_insolation: "Макс. инсоляция",
balanced: "Баланс",
};
export const STRATEGY_HINTS: Record<ConceptStrategy, string> = {
max_area: "Максимальная плотность застройки в пределах нормативов.",
max_insolation: "Приоритет инсоляции и разрывов между корпусами.",
balanced: "Компромисс между ТЭП и качеством среды.",
};
export const HOUSING_CLASS_LABELS: Record<HousingClass, string> = {
econom: "Эконом",
comfort: "Комфорт",
business: "Бизнес",
};
export const DEVELOPMENT_TYPE_LABELS: Record<DevelopmentType, string> = {
spot: "Точечная",
mid_rise: "Среднеэтажная",
high_rise: "Высотная",
};
/**
* Honest caption for the sale price source (PR-2). Never passes a class norm off
* as a market figure — when the price is not calibrated the caption says so.
*/
export function priceSourceCaption(financial: FinancialModel): string {
switch (financial.price_source) {
case "objective_district_median":
return "рынок: медиана объявлений Objective по району";
case "district_reference":
return "рынок: справочная медиана района (нет свежей выборки Objective)";
case "class_norm":
default:
return "норматив класса (нет рыночных данных по участку)";
}
}
// ── Hook: useCreateConcept ────────────────────────────────────────────────────
/**
* POST /api/v1/concepts — generate building variants for a parcel polygon.
* Action (not a query) → drive from `useMutation` per the data-layer rule.
* Uses the shared `apiFetch` (base URL + session header + Content-Type) rather
* than re-adding fetch config.
*/
export function useCreateConcept() {
return useMutation<ConceptOutput, Error, ConceptInput>({
mutationFn: (payload) =>
apiFetch<ConceptOutput>("/api/v1/concepts", {
method: "POST",
body: JSON.stringify(payload),
}),
});
}
// ── Hook: useCadastreGeom ─────────────────────────────────────────────────────
/**
* Resolves a cadastre number to its parcel polygon by POSTing the Site Finder
* analyze endpoint (`/api/v1/parcels/{cad}/analyze`) and reading `geom_geojson`.
* Re-uses the existing endpoint rather than adding a new backend route.
*
* The analyze endpoint returns 202 while НСПД geometry is still being fetched
* (see useParcelAnalyzeQuery). For the concept input we keep the UX simple: a
* 202 surfaces a "try again" error instead of a 2-minute poll loop — the user
* can re-submit once geometry is cached, or draw the polygon manually.
*/
export function useCadastreGeom() {
return useMutation<Polygon, Error, string>({
mutationFn: async (cad) => {
const url = `/api/v1/parcels/${encodeURIComponent(cad)}/analyze?horizon=12`;
const { status, body } = await apiFetchWithStatus<{
geom_geojson?: unknown;
}>(url, { method: "POST" });
if (status === 202) {
throw new Error(
"Геометрия участка ещё загружается из НСПД. Повторите через несколько секунд.",
);
}
const polygon = extractPolygon(body?.geom_geojson);
if (!polygon) {
throw new Error(
"Не удалось получить геометрию участка по этому номеру.",
);
}
return polygon;
},
});
}
// ── Polygon helpers ───────────────────────────────────────────────────────────
/**
* Narrows an unknown GeoJSON value (e.g. the analyze endpoint's `geom_geojson`)
* into a Polygon. Accepts a bare Polygon, a Feature wrapping a Polygon, or the
* first polygon ring of a MultiPolygon. Returns null on any other shape.
*/
export function extractPolygon(geom: unknown): Polygon | null {
if (geom == null || typeof geom !== "object") return null;
const g = geom as {
type?: unknown;
coordinates?: unknown;
geometry?: unknown;
};
if (g.type === "Feature") {
return extractPolygon((g as Feature).geometry);
}
if (g.type === "Polygon" && Array.isArray(g.coordinates)) {
return {
type: "Polygon",
coordinates: g.coordinates as Polygon["coordinates"],
};
}
if (g.type === "MultiPolygon" && Array.isArray(g.coordinates)) {
const first = (g.coordinates as Polygon["coordinates"][])[0];
if (first) return { type: "Polygon", coordinates: first };
}
return null;
}
/** Approximate parcel area in m² from a WGS84 polygon (spherical-excess shoelace). */
export function polygonAreaSqm(polygon: Polygon): number {
const ring = polygon.coordinates[0];
if (!ring || ring.length < 4) return 0;
const R = 6_378_137; // WGS84 equatorial radius (m)
const toRad = (deg: number) => (deg * Math.PI) / 180;
let area = 0;
for (let i = 0; i < ring.length - 1; i++) {
const [lon1, lat1] = ring[i];
const [lon2, lat2] = ring[i + 1];
area +=
toRad(lon2 - lon1) * (2 + Math.sin(toRad(lat1)) + Math.sin(toRad(lat2)));
}
return Math.abs((area * R * R) / 2);
}