feat(tradein): house analytics section на trade-in странице

Backend: GET /api/v1/trade-in/estimate/{id}/house-analytics — resolves target house_ids через нормализованный адрес или geo-fallback 100m, expand до 300m если в самом доме <8 hist rows. Возвращает: - price_history: median ₽/м² по году (из house_placement_history) - recent_sold: последние 12 мес снятые с фактической ценой + торгом - kpi: median exposure_days, median bargain %, sold_rate % Frontend: HouseAnalyticsSection (под PlacementHistoryCard) c 3 блоками: - PriceHistoryChart (Recharts line, median ₽/м²) - HouseAnalyticsKpiRow (3 KPI cards) - RecentSoldList (таблица снятых лотов) Использует уже собранные данные house_placement_history (15k+ rows от backfill scripts: avito_imv + yandex_valuation). Новых таблиц нет.
2026-05-24 21:00:42 +03:00 · 2026-05-24 21:00:42 +03:00 · 7eeffe353a
commit 7eeffe353a
parent f7a5c5d4f7
11 changed files with 4250 additions and 1 deletions
--- a/tradein-mvp/backend/app/api/v1/trade_in.py
+++ b/tradein-mvp/backend/app/api/v1/trade_in.py
@ -18,10 +18,14 @@ from app.core.db import get_db
 from app.schemas.trade_in import (
    AggregatedEstimate,
    AnalogLot,
+    HouseAnalyticsKpi,
+    HouseAnalyticsResponse,
    HouseInfoForEstimate,
    IMVBenchmarkResponse,
    PhotoMeta,
    PlacementHistoryEntry,
+    PriceHistoryYearPoint,
+    RecentSoldEntry,
    TradeInEstimateInput,
 )
 from app.services.exporters.trade_in_pdf import generate_trade_in_pdf
@ -532,6 +536,179 @@ def get_estimate_placement_history(
    return [PlacementHistoryEntry(**dict(r)) for r in history]


+@router.get("/estimate/{estimate_id}/house-analytics", response_model=HouseAnalyticsResponse)
+def get_estimate_house_analytics(
+    estimate_id: UUID,
+    db: Annotated[Session, Depends(get_db)],
+) -> HouseAnalyticsResponse:
+    """House-level analytics from house_placement_history backfill.
+
+    Resolves target house(s) — если в самом доме <8 hist rows — расширяем поиск до 300м.
+    Возвращает: price-history by year (median ₽/м²), recent sold (12mo), KPI.
+    """
+    target = db.execute(
+        text("SELECT lat, lon, address FROM trade_in_estimates WHERE id = CAST(:id AS uuid)"),
+        {"id": str(estimate_id)},
+    ).fetchone()
+    if target is None:
+        raise HTTPException(status_code=404, detail="estimate not found")
+
+    # 1. Resolve target house_ids (same as placement-history endpoint)
+    house_ids: list[int] = []
+    if target.address:
+        rows = db.execute(
+            text(
+                "SELECT id FROM houses WHERE short_address = tradein_normalize_short_addr(:addr) "
+                "OR tradein_normalize_short_addr(address) = tradein_normalize_short_addr(:addr)"
+            ),
+            {"addr": target.address},
+        ).all()
+        house_ids = [r.id for r in rows]
+    if not house_ids and target.lat is not None and target.lon is not None:
+        rows = db.execute(
+            text(
+                "SELECT id FROM houses WHERE geom IS NOT NULL AND ST_DWithin("
+                "geom::geography, ST_MakePoint(:lon, :lat)::geography, 100) LIMIT 3"
+            ),
+            {"lat": target.lat, "lon": target.lon},
+        ).all()
+        house_ids = [r.id for r in rows]
+
+    # 2. Expand to 300m if too few hist rows
+    radius_used = 0
+    n_in_house = 0
+    if house_ids:
+        n_in_house = (
+            db.execute(
+                text("SELECT COUNT(*) FROM house_placement_history WHERE house_id = ANY(:ids)"),
+                {"ids": house_ids},
+            ).scalar()
+            or 0
+        )
+    if n_in_house < 8 and target.lat is not None and target.lon is not None:
+        rows = db.execute(
+            text(
+                "SELECT id FROM houses WHERE geom IS NOT NULL AND ST_DWithin("
+                "geom::geography, ST_MakePoint(:lon, :lat)::geography, 300) LIMIT 30"
+            ),
+            {"lat": target.lat, "lon": target.lon},
+        ).all()
+        house_ids = sorted(set(house_ids) | {r.id for r in rows})
+        radius_used = 300
+
+    if not house_ids:
+        return HouseAnalyticsResponse(
+            house_ids=[],
+            radius_m=0,
+            price_history=[],
+            recent_sold=[],
+            kpi=HouseAnalyticsKpi(
+                total_lots=0,
+                sold_count=0,
+                sold_rate_pct=0.0,
+                median_exposure_days=None,
+                median_bargain_pct=None,
+            ),
+        )
+
+    # 3. Price history by year (median ₽/м²)
+    price_history_rows = db.execute(
+        text(
+            """
+            SELECT
+                EXTRACT(YEAR FROM COALESCE(last_price_date, start_price_date))::int AS year,
+                COUNT(*) AS n_lots,
+                percentile_cont(0.5) WITHIN GROUP (ORDER BY last_price / NULLIF(area_m2, 0))::int
+                    AS median_price_per_m2,
+                percentile_cont(0.5) WITHIN GROUP (ORDER BY last_price)::int AS median_price_rub
+            FROM house_placement_history
+            WHERE house_id = ANY(:ids)
+              AND last_price IS NOT NULL AND last_price > 100000
+              AND area_m2 IS NOT NULL AND area_m2 > 10
+              AND COALESCE(last_price_date, start_price_date) IS NOT NULL
+            GROUP BY year
+            ORDER BY year ASC
+            """
+        ),
+        {"ids": house_ids},
+    ).mappings().all()
+
+    # 4. Recent sold (12 months, with removed_date)
+    recent_sold_rows = db.execute(
+        text(
+            """
+            SELECT id, source, rooms, area_m2, floor, start_price, last_price,
+                   removed_date, exposure_days,
+                   CASE WHEN start_price > 0 AND last_price IS NOT NULL
+                        THEN ROUND((start_price - last_price)::numeric / start_price * 100, 1)
+                        ELSE NULL END AS discount_pct
+            FROM house_placement_history
+            WHERE house_id = ANY(:ids)
+              AND removed_date IS NOT NULL
+              AND removed_date > (NOW() - INTERVAL '12 months')::date
+            ORDER BY removed_date DESC
+            LIMIT 20
+            """
+        ),
+        {"ids": house_ids},
+    ).mappings().all()
+
+    # 5. KPI aggregate
+    kpi_row = db.execute(
+        text(
+            """
+            SELECT
+                COUNT(*) AS total_lots,
+                COUNT(*) FILTER (WHERE removed_date IS NOT NULL) AS sold_count,
+                CASE WHEN COUNT(*) > 0
+                     THEN ROUND(
+                              COUNT(*) FILTER (WHERE removed_date IS NOT NULL)::numeric
+                              / COUNT(*) * 100,
+                              1
+                          )
+                     ELSE 0 END AS sold_rate_pct,
+                percentile_cont(0.5) WITHIN GROUP (ORDER BY exposure_days)
+                    FILTER (WHERE exposure_days IS NOT NULL) AS median_exposure_days,
+                ROUND(
+                    percentile_cont(0.5) WITHIN GROUP (
+                        ORDER BY (start_price - last_price)::numeric / NULLIF(start_price, 0) * 100
+                    ) FILTER (
+                        WHERE start_price > 0
+                          AND last_price IS NOT NULL
+                          AND last_price != start_price
+                    )::numeric,
+                    1
+                ) AS median_bargain_pct
+            FROM house_placement_history
+            WHERE house_id = ANY(:ids)
+            """
+        ),
+        {"ids": house_ids},
+    ).mappings().first()
+
+    return HouseAnalyticsResponse(
+        house_ids=house_ids,
+        radius_m=radius_used,
+        price_history=[PriceHistoryYearPoint(**dict(r)) for r in price_history_rows],
+        recent_sold=[RecentSoldEntry(**dict(r)) for r in recent_sold_rows],
+        kpi=HouseAnalyticsKpi(
+            total_lots=kpi_row["total_lots"] or 0 if kpi_row else 0,
+            sold_count=kpi_row["sold_count"] or 0 if kpi_row else 0,
+            sold_rate_pct=float(kpi_row["sold_rate_pct"] or 0) if kpi_row else 0.0,
+            median_exposure_days=(
+                int(kpi_row["median_exposure_days"])
+                if kpi_row and kpi_row["median_exposure_days"] is not None
+                else None
+            ),
+            median_bargain_pct=(
+                float(kpi_row["median_bargain_pct"])
+                if kpi_row and kpi_row["median_bargain_pct"] is not None
+                else None
+            ),
+        ),
+    )
+
+
@router.get("/estimate/{estimate_id}/imv-benchmark", response_model=IMVBenchmarkResponse)
 def get_estimate_imv_benchmark(
    estimate_id: UUID,
--- a/tradein-mvp/backend/app/schemas/trade_in.py
+++ b/tradein-mvp/backend/app/schemas/trade_in.py
@ -199,3 +199,50 @@ class ScheduleConfigUpdate(BaseModel):
    window_start_hour: int = Field(default=2, ge=0, le=23)
    window_end_hour: int = Field(default=5, ge=0, le=23)
    default_params: dict[str, Any] = Field(default_factory=dict)
+
+
+# ── House analytics (house_placement_history backfill) ───────────────────────
+
+
+class PriceHistoryYearPoint(BaseModel):
+    """Медианная цена ₽/м² и число лотов за год."""
+
+    year: int
+    median_price_per_m2: int
+    n_lots: int
+    median_price_rub: int
+
+
+class RecentSoldEntry(BaseModel):
+    """Лот из house_placement_history снятый с продажи за последние 12 мес."""
+
+    id: int
+    source: str  # 'avito_imv' | 'yandex_valuation'
+    rooms: int | None
+    area_m2: float | None
+    floor: int | None
+    start_price: int | None
+    last_price: int | None
+    removed_date: date | None
+    exposure_days: int | None
+    discount_pct: float | None
+
+
+class HouseAnalyticsKpi(BaseModel):
+    """Агрегированные KPI по дому(ам) из house_placement_history."""
+
+    total_lots: int
+    sold_count: int
+    sold_rate_pct: float
+    median_exposure_days: int | None
+    median_bargain_pct: float | None
+
+
+class HouseAnalyticsResponse(BaseModel):
+    """Ответ GET /estimate/{id}/house-analytics."""
+
+    house_ids: list[int]
+    radius_m: int
+    price_history: list[PriceHistoryYearPoint]
+    recent_sold: list[RecentSoldEntry]
+    kpi: HouseAnalyticsKpi
--- a/tradein-mvp/frontend/package.json
+++ b/tradein-mvp/frontend/package.json
@ -13,7 +13,8 @@
    "@tanstack/react-query": "^5.50.0",
    "next": "^15.0.0",
    "react": "^19.0.0",
-    "react-dom": "^19.0.0"
+    "react-dom": "^19.0.0",
+    "recharts": "^2.15.4"
  },
  "devDependencies": {
    "@types/node": "^22.0.0",
--- a/tradein-mvp/frontend/pnpm-lock.yaml
+++ b/tradein-mvp/frontend/pnpm-lock.yaml
--- a/tradein-mvp/frontend/src/app/page.tsx
+++ b/tradein-mvp/frontend/src/app/page.tsx
@ -19,6 +19,7 @@ import { IMVBenchmark } from "@/components/trade-in/IMVBenchmark";
 import { CianValuationCard } from "@/components/trade-in/CianValuationCard";
 import { HouseInfoCard } from "@/components/trade-in/HouseInfoCard";
 import { PlacementHistoryCard } from "@/components/trade-in/PlacementHistoryCard";
+import { HouseAnalyticsSection } from "@/components/trade-in/HouseAnalyticsSection";
 import { PhotoUpload } from "@/components/trade-in/PhotoUpload";
 import { ListingsCard } from "@/components/trade-in/ListingsCard";
 import { DealsCard } from "@/components/trade-in/DealsCard";
@ -175,6 +176,9 @@ export default function TradeInPage() {
                {currentEstimateId && (
                  <PlacementHistoryCard estimateId={currentEstimateId} />
                )}
+                {currentEstimateId && (
+                  <HouseAnalyticsSection estimateId={currentEstimateId} />
+                )}
                <PhotoUpload estimateId={resultData.estimate.estimate_id} />
                <ListingsCard estimate={resultData.estimate} />
                <DealsCard estimate={resultData.estimate} />
--- a/tradein-mvp/frontend/src/components/trade-in/HouseAnalyticsKpiRow.tsx
+++ b/tradein-mvp/frontend/src/components/trade-in/HouseAnalyticsKpiRow.tsx
@ -0,0 +1,66 @@
+"use client";
+import type { HouseAnalyticsKpi } from "@/types/trade-in";
+
+type Props = { kpi: HouseAnalyticsKpi };
+
+function KpiCard({
+  label,
+  value,
+  sub,
+}: {
+  label: string;
+  value: string;
+  sub?: string;
+}) {
+  return (
+    <div className="card" style={{ padding: 12, flex: 1, minWidth: 0 }}>
+      <div
+        style={{ fontSize: 11, color: "var(--muted, #6b7280)", marginBottom: 4 }}
+      >
+        {label}
+      </div>
+      <div style={{ fontSize: 20, fontWeight: 700 }}>{value}</div>
+      {sub && (
+        <div
+          style={{
+            fontSize: 11,
+            color: "var(--muted, #6b7280)",
+            marginTop: 2,
+          }}
+        >
+          {sub}
+        </div>
+      )}
+    </div>
+  );
+}
+
+export function HouseAnalyticsKpiRow({ kpi }: Props) {
+  return (
+    <div style={{ display: "flex", gap: 12, marginTop: 8 }}>
+      <KpiCard
+        label="Средняя экспозиция"
+        value={
+          kpi.median_exposure_days != null
+            ? `${kpi.median_exposure_days} дн.`
+            : "—"
+        }
+        sub="по архивным объявлениям"
+      />
+      <KpiCard
+        label="Средний торг"
+        value={
+          kpi.median_bargain_pct != null
+            ? `−${kpi.median_bargain_pct.toFixed(1)}%`
+            : "—"
+        }
+        sub="от start_price до last_price"
+      />
+      <KpiCard
+        label="Доля снятых"
+        value={`${kpi.sold_rate_pct.toFixed(0)}%`}
+        sub={`${kpi.sold_count} из ${kpi.total_lots}`}
+      />
+    </div>
+  );
+}
--- a/tradein-mvp/frontend/src/components/trade-in/HouseAnalyticsSection.tsx
+++ b/tradein-mvp/frontend/src/components/trade-in/HouseAnalyticsSection.tsx
@ -0,0 +1,44 @@
+"use client";
+import { useEstimateHouseAnalytics } from "@/lib/trade-in-api";
+import { PriceHistoryChart } from "./PriceHistoryChart";
+import { HouseAnalyticsKpiRow } from "./HouseAnalyticsKpiRow";
+import { RecentSoldList } from "./RecentSoldList";
+
+type Props = { estimateId: string };
+
+export function HouseAnalyticsSection({ estimateId }: Props) {
+  const { data, isPending, isError } = useEstimateHouseAnalytics(estimateId);
+
+  if (isPending || isError || !data) return null;
+  if (data.kpi.total_lots === 0) return null;
+
+  return (
+    <section style={{ marginTop: 16 }}>
+      <header
+        style={{
+          marginBottom: 12,
+          display: "flex",
+          justifyContent: "space-between",
+          alignItems: "baseline",
+        }}
+      >
+        <h3 style={{ margin: 0, fontSize: 16, fontWeight: 600 }}>
+          Аналитика дома
+        </h3>
+        <small style={{ color: "var(--muted, #6b7280)" }}>
+          {data.kpi.total_lots} объявлений
+          {data.radius_m > 0
+            ? ` · в радиусе ${data.radius_m}м`
+            : " · в этом доме"}
+        </small>
+      </header>
+      <HouseAnalyticsKpiRow kpi={data.kpi} />
+      {data.price_history.length >= 2 && (
+        <PriceHistoryChart points={data.price_history} />
+      )}
+      {data.recent_sold.length > 0 && (
+        <RecentSoldList items={data.recent_sold} />
+      )}
+    </section>
+  );
+}
--- a/tradein-mvp/frontend/src/components/trade-in/PriceHistoryChart.tsx
+++ b/tradein-mvp/frontend/src/components/trade-in/PriceHistoryChart.tsx
@ -0,0 +1,59 @@
+"use client";
+import {
+  LineChart,
+  Line,
+  XAxis,
+  YAxis,
+  Tooltip,
+  ResponsiveContainer,
+  CartesianGrid,
+} from "recharts";
+import type { PriceHistoryYearPoint } from "@/types/trade-in";
+
+type Props = { points: PriceHistoryYearPoint[] };
+
+const fmtK = (n: number) => `${Math.round(n / 1000)}k`;
+
+export function PriceHistoryChart({ points }: Props) {
+  const totalLots = points.reduce((s, p) => s + p.n_lots, 0);
+
+  return (
+    <article className="card" style={{ marginTop: 12, padding: 16 }}>
+      <header style={{ marginBottom: 8 }}>
+        <h4 style={{ margin: 0, fontSize: 14, fontWeight: 600 }}>
+          Динамика цен в доме
+        </h4>
+        <small style={{ color: "var(--muted, #6b7280)" }}>
+          Медиана ₽/м² по году (по {totalLots} лотам)
+        </small>
+      </header>
+      <div style={{ width: "100%", height: 240 }}>
+        <ResponsiveContainer>
+          <LineChart
+            data={points}
+            margin={{ top: 8, right: 16, left: 8, bottom: 8 }}
+          >
+            <CartesianGrid stroke="#eee" strokeDasharray="3 3" />
+            <XAxis dataKey="year" tick={{ fontSize: 11 }} />
+            <YAxis tickFormatter={fmtK} tick={{ fontSize: 11 }} />
+            <Tooltip
+              formatter={(value: number, name: string) =>
+                name === "median_price_per_m2"
+                  ? [`${value.toLocaleString("ru-RU")} ₽/м²`, "Медиана"]
+                  : [value, name]
+              }
+              labelFormatter={(year) => `${year} год`}
+            />
+            <Line
+              type="monotone"
+              dataKey="median_price_per_m2"
+              stroke="#2563eb"
+              strokeWidth={2}
+              dot={{ r: 3 }}
+            />
+          </LineChart>
+        </ResponsiveContainer>
+      </div>
+    </article>
+  );
+}
--- a/tradein-mvp/frontend/src/components/trade-in/RecentSoldList.tsx
+++ b/tradein-mvp/frontend/src/components/trade-in/RecentSoldList.tsx
@ -0,0 +1,91 @@
+"use client";
+import type { RecentSoldEntry } from "@/types/trade-in";
+
+type Props = { items: RecentSoldEntry[] };
+
+const fmtPrice = (n: number | null): string =>
+  n == null ? "—" : `${(n / 1_000_000).toFixed(2)} М`;
+
+const fmtDate = (d: string | null): string => {
+  if (!d) return "—";
+  try {
+    return new Date(d).toLocaleDateString("ru-RU");
+  } catch {
+    return d;
+  }
+};
+
+export function RecentSoldList({ items }: Props) {
+  const suffix = items.length === 1 ? "" : "ов";
+
+  return (
+    <article className="card" style={{ marginTop: 12 }}>
+      <header className="card-head">
+        <h4 style={{ margin: 0, fontSize: 14, fontWeight: 600 }}>
+          Недавно снятые (12 мес)
+        </h4>
+        <small style={{ color: "var(--muted, #6b7280)" }}>
+          {items.length} лот{suffix}
+        </small>
+      </header>
+      <div style={{ padding: "8px 16px 16px" }}>
+        <table
+          style={{ width: "100%", fontSize: 13, borderCollapse: "collapse" }}
+        >
+          <thead>
+            <tr
+              style={{
+                borderBottom: "1px solid var(--border, #e5e7eb)",
+                textAlign: "left",
+              }}
+            >
+              <th style={{ padding: "6px 8px" }}>Лот</th>
+              <th style={{ padding: "6px 8px" }}>Цена</th>
+              <th style={{ padding: "6px 8px" }}>Торг</th>
+              <th style={{ padding: "6px 8px" }}>Снято</th>
+              <th style={{ padding: "6px 8px" }}>Экспозиция</th>
+            </tr>
+          </thead>
+          <tbody>
+            {items.map((it) => {
+              const hasDiscount =
+                it.discount_pct != null && it.discount_pct !== 0;
+              const discountColor =
+                it.discount_pct != null && it.discount_pct > 0
+                  ? "#16a34a"
+                  : "var(--muted, #6b7280)";
+
+              return (
+                <tr
+                  key={it.id}
+                  style={{
+                    borderBottom: "1px solid var(--border-soft, #f3f4f6)",
+                  }}
+                >
+                  <td style={{ padding: "6px 8px" }}>
+                    {it.rooms ?? "?"}к, {it.area_m2 ?? "?"} м²
+                    {it.floor != null ? `, эт. ${it.floor}` : ""}
+                  </td>
+                  <td style={{ padding: "6px 8px", whiteSpace: "nowrap" }}>
+                    {fmtPrice(it.last_price)} ₽
+                  </td>
+                  <td style={{ padding: "6px 8px", color: discountColor }}>
+                    {hasDiscount
+                      ? `${it.discount_pct! > 0 ? "−" : "+"}${Math.abs(it.discount_pct!).toFixed(1)}%`
+                      : "—"}
+                  </td>
+                  <td style={{ padding: "6px 8px", whiteSpace: "nowrap" }}>
+                    {fmtDate(it.removed_date)}
+                  </td>
+                  <td style={{ padding: "6px 8px" }}>
+                    {it.exposure_days ?? "—"} дн.
+                  </td>
+                </tr>
+              );
+            })}
+          </tbody>
+        </table>
+      </div>
+    </article>
+  );
+}
--- a/tradein-mvp/frontend/src/lib/trade-in-api.ts
+++ b/tradein-mvp/frontend/src/lib/trade-in-api.ts
@ -5,6 +5,7 @@ import { useMutation, useQuery } from "@tanstack/react-query";
 import { apiFetch } from "./api";
 import type {
  AggregatedEstimate,
+  HouseAnalyticsResponse,
  HouseInfoForEstimate,
  IMVBenchmarkResponse,
  PlacementHistoryItem,
@ -84,3 +85,19 @@ export function useEstimateImvBenchmark(estimate_id: string | null) {
    staleTime: 10 * 60_000,
  });
 }
+
+/**
+ * GET /api/v1/trade-in/estimate/{id}/house-analytics
+ * Price history, KPI and recent sold lots for the target house.
+ */
+export function useEstimateHouseAnalytics(estimate_id: string | null) {
+  return useQuery<HouseAnalyticsResponse>({
+    queryKey: ["trade-in", "estimate", estimate_id, "house-analytics"],
+    queryFn: () =>
+      apiFetch<HouseAnalyticsResponse>(
+        `${BASE}/estimate/${estimate_id}/house-analytics`,
+      ),
+    enabled: estimate_id !== null && estimate_id.length > 0,
+    staleTime: 10 * 60_000,
+  });
+}
--- a/tradein-mvp/frontend/src/types/trade-in.ts
+++ b/tradein-mvp/frontend/src/types/trade-in.ts
@ -141,3 +141,41 @@ export interface IMVBenchmarkResponse {
  our_median_price: number | null;
  diff_pct: number | null;
 }
+
+// ── House Analytics (endpoint: GET /estimate/{id}/house-analytics) ──
+
+export interface PriceHistoryYearPoint {
+  year: number;
+  median_price_per_m2: number;
+  n_lots: number;
+  median_price_rub: number;
+}
+
+export interface RecentSoldEntry {
+  id: number;
+  source: string; // 'avito_imv' | 'yandex_valuation'
+  rooms: number | null;
+  area_m2: number | null;
+  floor: number | null;
+  start_price: number | null;
+  last_price: number | null;
+  removed_date: string | null; // ISO date
+  exposure_days: number | null;
+  discount_pct: number | null; // (start - last) / start * 100
+}
+
+export interface HouseAnalyticsKpi {
+  total_lots: number;
+  sold_count: number;
+  sold_rate_pct: number;
+  median_exposure_days: number | null;
+  median_bargain_pct: number | null;
+}
+
+export interface HouseAnalyticsResponse {
+  house_ids: number[];
+  radius_m: number; // 0 = exact house, 300 = соседи в радиусе
+  price_history: PriceHistoryYearPoint[];
+  recent_sold: RecentSoldEntry[];
+  kpi: HouseAnalyticsKpi;
+}