feat(tradein): API домов «доли квартир в продаже» — /buildings/sale-share (+ listings, summary) (#2055)

tradein-mvp/backend/app/api/v1/buildings.py

@@ -0,0 +1,104 @@
+"""Buildings — страница «доля квартир дома в продаже» (мигр. 143).
+
+Дома вторичного рынка, где active_secondary / flat_count_effective >= threshold%.
+Данные берём из готового view v_building_sale_share (логику доли не пересчитываем).
+
+Endpoints:
+  - GET /api/v1/buildings/sale-share            — список домов
+  - GET /api/v1/buildings/{house_id}/listings   — активные вторичные объявления дома
+  - GET /api/v1/buildings/sale-share/summary     — сводка для слайдера % + coverage
+"""
+
+from __future__ import annotations
+
+import logging
+from typing import Annotated
+
+from fastapi import APIRouter, Depends, Path, Query
+from sqlalchemy import text
+from sqlalchemy.orm import Session
+
+from app.core.db import get_db
+from app.schemas.buildings import (
+    BuildingListing,
+    BuildingSaleShare,
+    HistogramBucket,
+    SaleShareSummary,
+)
+from app.services.buildings_query import (
+    HISTOGRAM_BUCKETS,
+    build_listings_query,
+    build_sale_share_query,
+    build_summary_histogram_query,
+    build_summary_scalars_query,
+)
+
+logger = logging.getLogger(__name__)
+
+router = APIRouter()
+
+
+@router.get("/sale-share", response_model=list[BuildingSaleShare])
+async def list_sale_share(
+    db: Annotated[Session, Depends(get_db)],
+    min_pct: Annotated[float, Query(ge=0, le=1000)] = 5.0,
+    max_pct: Annotated[float | None, Query(ge=0, le=1000)] = None,
+    city: Annotated[str | None, Query(max_length=120)] = None,
+    price_min: Annotated[int | None, Query(ge=0)] = None,
+    price_max: Annotated[int | None, Query(ge=0)] = None,
+    year_min: Annotated[int | None, Query(ge=1800, le=2100)] = None,
+    year_max: Annotated[int | None, Query(ge=1800, le=2100)] = None,
+    house_type: Annotated[str | None, Query(max_length=40)] = None,
+    sort: Annotated[
+        str,
+        Query(pattern="^(share_desc|active_desc|exposure_desc|price_asc|price_desc)$"),
+    ] = "share_desc",
+    limit: Annotated[int, Query(ge=1, le=1000)] = 200,
+) -> list[BuildingSaleShare]:
+    """Дома вторички с долей квартир в продаже >= min_pct (+ фильтры)."""
+    sql, args = build_sale_share_query(
+        min_pct=min_pct,
+        max_pct=max_pct,
+        city=city,
+        price_min=price_min,
+        price_max=price_max,
+        year_min=year_min,
+        year_max=year_max,
+        house_type=house_type,
+        sort=sort,
+        limit=limit,
+    )
+    rows = db.execute(text(sql), args).mappings().all()
+    return [BuildingSaleShare.model_validate(r) for r in rows]
+
+
+@router.get("/{house_id}/listings", response_model=list[BuildingListing])
+async def list_building_listings(
+    db: Annotated[Session, Depends(get_db)],
+    house_id: Annotated[int, Path(ge=1)],
+) -> list[BuildingListing]:
+    """Активные вторичные объявления в одном доме (для drawer), ORDER BY price."""
+    sql, args = build_listings_query(house_id)
+    rows = db.execute(text(sql), args).mappings().all()
+    return [BuildingListing.model_validate(r) for r in rows]
+
+
+@router.get("/sale-share/summary", response_model=SaleShareSummary)
+async def sale_share_summary(
+    db: Annotated[Session, Depends(get_db)],
+) -> SaleShareSummary:
+    """Сводка распределения sale_share_pct: coverage, max, p95, гистограмма."""
+    scalars = db.execute(text(build_summary_scalars_query())).mappings().one()
+
+    hist_rows = db.execute(text(build_summary_histogram_query())).mappings().all()
+    counts = {str(r["bucket"]): int(r["count"]) for r in hist_rows}
+    histogram = [HistogramBucket(bucket=b, count=counts.get(b, 0)) for b in HISTOGRAM_BUCKETS]
+
+    return SaleShareSummary(
+        total_secondary_buildings=int(scalars["total_secondary_buildings"]),
+        buildings_with_denominator=int(scalars["buildings_with_denominator"]),
+        coverage_pct=float(scalars["coverage_pct"]),
+        max_pct=(float(scalars["max_pct"]) if scalars["max_pct"] is not None else None),
+        p95_pct=(float(scalars["p95_pct"]) if scalars["p95_pct"] is not None else None),
+        histogram=histogram,
+    )

tradein-mvp/backend/app/main.py

@@ -23,7 +23,7 @@ from sentry_sdk.integrations.logging import LoggingIntegration
 from sentry_sdk.integrations.sqlalchemy import SqlalchemyIntegration
 from sentry_sdk.integrations.starlette import StarletteIntegration
 
-from app.api.v1 import admin, brand, geocode, me, search, trade_in
+from app.api.v1 import admin, brand, buildings, geocode, me, search, trade_in
 from app.core.auth import get_role
 from app.core.config import settings
 from app.core.db import SessionLocal
@@ -167,5 +167,6 @@ app.include_router(geocode.router, prefix="/api/v1/geocode", tags=["geocode"])
 app.include_router(admin.router, prefix="/api/v1/admin", tags=["admin"])
 app.include_router(brand.router, prefix="/api/v1/brand", tags=["brand"])
 app.include_router(trade_in.router, prefix="/api/v1/trade-in", tags=["trade-in"])
+app.include_router(buildings.router, prefix="/api/v1/buildings", tags=["buildings"])
 app.include_router(search.router, prefix="/api/v1", tags=["search"])
 app.include_router(me.router, prefix="/api/v1", tags=["me"])

tradein-mvp/backend/app/schemas/buildings.py

@@ -0,0 +1,78 @@
+"""Pydantic-схемы страницы «доля квартир дома в продаже» (мигр. 143).
+
+Источник данных — view v_building_sale_share + базовая таблица listings.
+Список домов вторичного рынка, где active_secondary / flat_count_effective >= threshold%.
+"""
+
+from __future__ import annotations
+
+from datetime import date
+
+from pydantic import BaseModel, ConfigDict
+
+
+class BuildingSaleShare(BaseModel):
+    """Один дом из v_building_sale_share для списка /buildings/sale-share."""
+
+    model_config = ConfigDict(from_attributes=True)
+
+    house_id: int
+    address: str | None = None
+    lat: float | None = None
+    lon: float | None = None
+
+    sale_share_pct: float | None = None
+    # implausible-матч (active_secondary > знаменателя) — скорее всего коллизия
+    # адреса при ГАР-матче; не прячем, а маркируем для UI.
+    over_100: bool = False
+
+    active_secondary: int | None = None
+    flat_count_effective: int | None = None
+    gar_match_method: str | None = None
+
+    median_price_rub: int | None = None
+    median_price_per_m2: int | None = None
+    avg_days_on_market: float | None = None
+
+    year_built: int | None = None
+    house_type: str | None = None
+    total_floors: int | None = None
+    series_name: str | None = None
+    is_emergency: bool | None = None
+
+
+class BuildingListing(BaseModel):
+    """Активное вторичное объявление в доме (click-through drawer)."""
+
+    model_config = ConfigDict(from_attributes=True)
+
+    listing_id: int
+    source: str
+    source_url: str | None = None
+    price_rub: int | None = None
+    price_per_m2: int | None = None
+    rooms: int | None = None
+    area_m2: float | None = None
+    floor: int | None = None
+    total_floors: int | None = None
+    days_on_market: int | None = None
+    listing_date: date | None = None
+    address: str | None = None
+
+
+class HistogramBucket(BaseModel):
+    """Корзина гистограммы распределения sale_share_pct."""
+
+    bucket: str
+    count: int
+
+
+class SaleShareSummary(BaseModel):
+    """Сводка для слайдера % + баннера покрытия (/buildings/sale-share/summary)."""
+
+    total_secondary_buildings: int
+    buildings_with_denominator: int
+    coverage_pct: float
+    max_pct: float | None = None
+    p95_pct: float | None = None
+    histogram: list[HistogramBucket]

tradein-mvp/backend/app/services/buildings_query.py

@@ -0,0 +1,166 @@
+"""SQL-билдеры страницы «доля квартир дома в продаже» (мигр. 143).
+
+Читаем готовый view v_building_sale_share — логику доли НЕ пересчитываем.
+Все запросы параметризованы (SQLAlchemy text + bind params, CAST(:x AS type) —
+psycopg v3). Сортировка — строго по whitelist-колонкам, user-ввод в SQL не
+интерполируется.
+"""
+
+from __future__ import annotations
+
+# share_desc / active_desc / exposure_desc / price_asc / price_desc → безопасный ORDER BY.
+# house_id как стабильный tiebreaker для детерминированной пагинации.
+_SORT_SQL: dict[str, str] = {
+    "share_desc": "sale_share_pct DESC NULLS LAST, house_id",
+    "active_desc": "active_secondary DESC NULLS LAST, house_id",
+    "exposure_desc": "avg_days_on_market DESC NULLS LAST, house_id",
+    "price_asc": "median_price_rub ASC NULLS LAST, house_id",
+    "price_desc": "median_price_rub DESC NULLS LAST, house_id",
+}
+ALLOWED_SORTS: frozenset[str] = frozenset(_SORT_SQL)
+
+# Гистограмма распределения sale_share_pct — фиксированный порядок корзин.
+HISTOGRAM_BUCKETS: tuple[str, ...] = (
+    "0-5",
+    "5-10",
+    "10-20",
+    "20-30",
+    "30-50",
+    "50-100",
+    "100+",
+)
+
+# Колонки view, отдаваемые в список (в порядке SELECT). median_* округляем до
+# bigint — percentile_cont отдаёт double precision (может быть x.5), а Pydantic
+# int-поле на дробном float падает.
+_LIST_COLUMNS = (
+    "house_id, "
+    "COALESCE(short_address, full_address, address) AS address, "
+    "lat, lon, "
+    "sale_share_pct, "
+    "(sale_share_pct > 100) AS over_100, "
+    "active_secondary, "
+    "flat_count_effective, "
+    "gar_match_method, "
+    "CAST(round(median_price_rub) AS bigint) AS median_price_rub, "
+    "CAST(round(median_price_per_m2) AS bigint) AS median_price_per_m2, "
+    "avg_days_on_market, "
+    "year_built, house_type, total_floors, series_name, is_emergency"
+)
+
+
+def build_sale_share_query(
+    *,
+    min_pct: float = 5.0,
+    max_pct: float | None = None,
+    city: str | None = None,
+    price_min: int | None = None,
+    price_max: int | None = None,
+    year_min: int | None = None,
+    year_max: int | None = None,
+    house_type: str | None = None,
+    sort: str = "share_desc",
+    limit: int = 200,
+) -> tuple[str, dict[str, object]]:
+    """SELECT домов из v_building_sale_share по фильтрам.
+
+    Всегда требует sale_share_pct IS NOT NULL (строки без знаменателя — только
+    для coverage в summary, не в списке).
+    """
+    where: list[str] = ["sale_share_pct IS NOT NULL"]
+    args: dict[str, object] = {}
+
+    where.append("sale_share_pct >= CAST(:min_pct AS numeric)")
+    args["min_pct"] = min_pct
+
+    if max_pct is not None:
+        where.append("sale_share_pct <= CAST(:max_pct AS numeric)")
+        args["max_pct"] = max_pct
+
+    if city:
+        # case-insensitive substring по всем адресным полям (город может быть в любом).
+        where.append(
+            "(COALESCE(short_address, '') || ' ' || COALESCE(full_address, '') "
+            "|| ' ' || COALESCE(address, '')) ILIKE CAST(:city_like AS text)"
+        )
+        args["city_like"] = f"%{city}%"
+
+    if price_min is not None:
+        where.append("median_price_rub >= CAST(:price_min AS bigint)")
+        args["price_min"] = price_min
+    if price_max is not None:
+        where.append("median_price_rub <= CAST(:price_max AS bigint)")
+        args["price_max"] = price_max
+
+    if year_min is not None:
+        where.append("year_built >= CAST(:year_min AS integer)")
+        args["year_min"] = year_min
+    if year_max is not None:
+        where.append("year_built <= CAST(:year_max AS integer)")
+        args["year_max"] = year_max
+
+    if house_type:
+        where.append("house_type = CAST(:house_type AS text)")
+        args["house_type"] = house_type
+
+    order_sql = _SORT_SQL.get(sort, _SORT_SQL["share_desc"])
+    args["limit"] = max(1, min(int(limit), 1000))
+
+    sql = (
+        f"SELECT {_LIST_COLUMNS} "
+        "FROM v_building_sale_share "
+        f"WHERE {' AND '.join(where)} "
+        f"ORDER BY {order_sql} "
+        "LIMIT CAST(:limit AS integer)"
+    )
+    return sql, args
+
+
+def build_listings_query(house_id: int) -> tuple[str, dict[str, object]]:
+    """Активные вторичные объявления одного дома (ORDER BY price_rub)."""
+    sql = (
+        "SELECT id AS listing_id, source, source_url, price_rub, price_per_m2, "
+        "rooms, CAST(area_m2 AS double precision) AS area_m2, floor, total_floors, "
+        "days_on_market, listing_date, address "
+        "FROM listings "
+        "WHERE house_id_fk = CAST(:house_id AS bigint) "
+        "AND is_active AND listing_segment = 'vtorichka' "
+        "ORDER BY price_rub ASC NULLS LAST, id"
+    )
+    return sql, {"house_id": house_id}
+
+
+def build_summary_scalars_query() -> str:
+    """Скаляры сводки: всего домов, с знаменателем, coverage, max, p95."""
+    return (
+        "SELECT "
+        "count(*) AS total_secondary_buildings, "
+        "count(*) FILTER (WHERE sale_share_pct IS NOT NULL) "
+        "AS buildings_with_denominator, "
+        "COALESCE(round("
+        "100.0 * count(*) FILTER (WHERE sale_share_pct IS NOT NULL) "
+        "/ NULLIF(count(*), 0), 1), 0) AS coverage_pct, "
+        "max(sale_share_pct) AS max_pct, "
+        "percentile_cont(0.95) WITHIN GROUP (ORDER BY sale_share_pct) AS p95_pct "
+        "FROM v_building_sale_share"
+    )
+
+
+def build_summary_histogram_query() -> str:
+    """Гистограмма sale_share_pct по фиксированным корзинам (только non-null)."""
+    return (
+        "SELECT "
+        "CASE "
+        "WHEN sale_share_pct < 5 THEN '0-5' "
+        "WHEN sale_share_pct < 10 THEN '5-10' "
+        "WHEN sale_share_pct < 20 THEN '10-20' "
+        "WHEN sale_share_pct < 30 THEN '20-30' "
+        "WHEN sale_share_pct < 50 THEN '30-50' "
+        "WHEN sale_share_pct <= 100 THEN '50-100' "
+        "ELSE '100+' "
+        "END AS bucket, "
+        "count(*) AS count "
+        "FROM v_building_sale_share "
+        "WHERE sale_share_pct IS NOT NULL "
+        "GROUP BY bucket"
+    )

tradein-mvp/backend/tests/test_buildings_api.py

@@ -0,0 +1,249 @@
+"""Тесты API «доля квартир дома в продаже» (мигр. 143).
+
+Two layers:
+  1. SQL-билдеры (чистые функции) — shape, CAST(:x AS type), whitelist-сортировка,
+     clamp лимита, фильтры. БД не нужна.
+  2. Contract — минимальный app с замоканным get_db: 200 + правильная форма ответа
+     (RBAC middleware не монтируем, mirror trade_in_app из test_estimate_idor).
+"""
+
+from __future__ import annotations
+
+import os
+from unittest.mock import MagicMock
+
+# psycopg v3 driver требует DATABASE_URL до импорта app.core.db.
+os.environ.setdefault("DATABASE_URL", "postgresql+psycopg://test:test@localhost:5432/test")
+
+import pytest
+from fastapi import FastAPI
+from fastapi.testclient import TestClient
+
+from app.services.buildings_query import (
+    ALLOWED_SORTS,
+    HISTOGRAM_BUCKETS,
+    build_listings_query,
+    build_sale_share_query,
+    build_summary_histogram_query,
+    build_summary_scalars_query,
+)
+
+# ── SQL-билдеры ───────────────────────────────────────────────────────────────
+
+
+def test_sale_share_minimal_defaults():
+    sql, args = build_sale_share_query()
+    assert "FROM v_building_sale_share" in sql
+    assert "sale_share_pct IS NOT NULL" in sql
+    assert "sale_share_pct >= CAST(:min_pct AS numeric)" in sql
+    assert "(sale_share_pct > 100) AS over_100" in sql
+    assert "COALESCE(short_address, full_address, address) AS address" in sql
+    assert args["min_pct"] == 5.0
+    assert args["limit"] == 200
+    # default sort = share_desc
+    assert "ORDER BY sale_share_pct DESC NULLS LAST" in sql
+
+
+def test_sale_share_all_filters():
+    sql, args = build_sale_share_query(
+        min_pct=10,
+        max_pct=80,
+        city="Екатеринбург",
+        price_min=3_000_000,
+        price_max=12_000_000,
+        year_min=1990,
+        year_max=2015,
+        house_type="panel",
+        sort="price_asc",
+    )
+    assert "sale_share_pct <= CAST(:max_pct AS numeric)" in sql
+    assert "ILIKE CAST(:city_like AS text)" in sql
+    assert args["city_like"] == "%Екатеринбург%"
+    assert "median_price_rub >= CAST(:price_min AS bigint)" in sql
+    assert "median_price_rub <= CAST(:price_max AS bigint)" in sql
+    assert "year_built >= CAST(:year_min AS integer)" in sql
+    assert "year_built <= CAST(:year_max AS integer)" in sql
+    assert "house_type = CAST(:house_type AS text)" in sql
+    assert "ORDER BY median_price_rub ASC NULLS LAST" in sql
+
+
+def test_sale_share_no_double_colon_cast():
+    """psycopg v3: ни одного `:name::type` — только CAST(...)."""
+    sql, _ = build_sale_share_query(city="x", price_min=1, year_min=2000, house_type="brick")
+    import re
+
+    assert re.search(r":[a-z_]+::[a-z]", sql) is None
+
+
+def test_sale_share_limit_clamped():
+    _, args_hi = build_sale_share_query(limit=99999)
+    assert args_hi["limit"] == 1000
+    _, args_lo = build_sale_share_query(limit=0)
+    assert args_lo["limit"] == 1
+    _, args_neg = build_sale_share_query(limit=-5)
+    assert args_neg["limit"] == 1
+
+
+@pytest.mark.parametrize("sort", sorted(ALLOWED_SORTS))
+def test_sale_share_sort_whitelisted(sort: str):
+    sql, _ = build_sale_share_query(sort=sort)
+    assert "ORDER BY" in sql
+    # tiebreaker house_id присутствует во всех сортировках
+    assert "house_id" in sql.split("ORDER BY", 1)[1]
+
+
+def test_sale_share_unknown_sort_falls_back():
+    """Несуществующий sort не интерполируется — fallback на share_desc."""
+    sql, _ = build_sale_share_query(sort="DROP TABLE houses")
+    assert "DROP TABLE" not in sql
+    assert "ORDER BY sale_share_pct DESC NULLS LAST" in sql
+
+
+def test_listings_query_shape():
+    sql, args = build_listings_query(42)
+    assert "FROM listings" in sql
+    assert "house_id_fk = CAST(:house_id AS bigint)" in sql
+    assert "listing_segment = 'vtorichka'" in sql
+    assert "is_active" in sql
+    assert "ORDER BY price_rub" in sql
+    assert "id AS listing_id" in sql
+    assert args["house_id"] == 42
+
+
+def test_summary_scalars_query_shape():
+    sql = build_summary_scalars_query()
+    assert "total_secondary_buildings" in sql
+    assert "FILTER (WHERE sale_share_pct IS NOT NULL)" in sql
+    assert "NULLIF(count(*), 0)" in sql
+    assert "percentile_cont(0.95)" in sql
+
+
+def test_summary_histogram_buckets_cover_spec():
+    sql = build_summary_histogram_query()
+    for boundary in ("'0-5'", "'5-10'", "'10-20'", "'20-30'", "'30-50'", "'50-100'", "'100+'"):
+        assert boundary in sql
+    assert HISTOGRAM_BUCKETS == ("0-5", "5-10", "10-20", "20-30", "30-50", "50-100", "100+")
+
+
+# ── Contract (минимальный app, замоканный get_db) ─────────────────────────────
+
+
+@pytest.fixture()
+def buildings_app() -> FastAPI:
+    """FastAPI mounting только buildings router (без RBAC middleware)."""
+    from app.api.v1 import buildings as buildings_module
+
+    application = FastAPI()
+    application.include_router(buildings_module.router, prefix="/api/v1/buildings")
+    return application
+
+
+def _client_with_rows(app: FastAPI, *execute_results: object) -> TestClient:
+    """Override get_db → mock, где db.execute даёт execute_results по порядку."""
+    from app.core.db import get_db
+
+    db = MagicMock()
+    if len(execute_results) == 1:
+        db.execute.return_value = execute_results[0]
+    else:
+        db.execute.side_effect = list(execute_results)
+
+    def _override_db():
+        yield db
+
+    app.dependency_overrides[get_db] = _override_db
+    return TestClient(app)
+
+
+def _mapped(rows: object) -> MagicMock:
+    m = MagicMock()
+    m.mappings.return_value.all.return_value = rows
+    m.mappings.return_value.one.return_value = rows
+    return m
+
+
+def test_get_sale_share_list_200(buildings_app: FastAPI):
+    row = {
+        "house_id": 7,
+        "address": "ул. Ленина, 1",
+        "lat": 56.8,
+        "lon": 60.6,
+        "sale_share_pct": 12.5,
+        "over_100": False,
+        "active_secondary": 3,
+        "flat_count_effective": 24,
+        "gar_match_method": None,
+        "median_price_rub": 5_000_000,
+        "median_price_per_m2": 95_000,
+        "avg_days_on_market": 41.0,
+        "year_built": 1999,
+        "house_type": "panel",
+        "total_floors": 9,
+        "series_name": None,
+        "is_emergency": False,
+    }
+    client = _client_with_rows(buildings_app, _mapped([row]))
+    resp = client.get("/api/v1/buildings/sale-share?min_pct=10")
+    assert resp.status_code == 200
+    body = resp.json()
+    assert len(body) == 1
+    assert body[0]["house_id"] == 7
+    assert body[0]["over_100"] is False
+    assert body[0]["sale_share_pct"] == 12.5
+
+
+def test_get_sale_share_empty_when_no_gar(buildings_app: FastAPI):
+    """ГАР не загружен → пустой список, но 200 (форма, не падение)."""
+    client = _client_with_rows(buildings_app, _mapped([]))
+    resp = client.get("/api/v1/buildings/sale-share")
+    assert resp.status_code == 200
+    assert resp.json() == []
+
+
+def test_get_building_listings_200(buildings_app: FastAPI):
+    row = {
+        "listing_id": 101,
+        "source": "avito",
+        "source_url": "https://avito.ru/101",
+        "price_rub": 4_900_000,
+        "price_per_m2": 92_000,
+        "rooms": 2,
+        "area_m2": 53.2,
+        "floor": 4,
+        "total_floors": 9,
+        "days_on_market": 30,
+        "listing_date": "2026-05-01",
+        "address": "ул. Ленина, 1",
+    }
+    client = _client_with_rows(buildings_app, _mapped([row]))
+    resp = client.get("/api/v1/buildings/7/listings")
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body[0]["listing_id"] == 101
+    assert body[0]["source"] == "avito"
+
+
+def test_get_summary_zero_fills_histogram(buildings_app: FastAPI):
+    scalars = _mapped(
+        {
+            "total_secondary_buildings": 10,
+            "buildings_with_denominator": 4,
+            "coverage_pct": 40.0,
+            "max_pct": 250.0,
+            "p95_pct": 33.3,
+        }
+    )
+    hist = _mapped([{"bucket": "0-5", "count": 2}, {"bucket": "100+", "count": 1}])
+    client = _client_with_rows(buildings_app, scalars, hist)
+    resp = client.get("/api/v1/buildings/sale-share/summary")
+    assert resp.status_code == 200
+    body = resp.json()
+    assert body["total_secondary_buildings"] == 10
+    assert body["buildings_with_denominator"] == 4
+    assert body["coverage_pct"] == 40.0
+    # все 7 корзин присутствуют, недостающие — count 0, порядок фиксирован
+    assert [b["bucket"] for b in body["histogram"]] == list(HISTOGRAM_BUCKETS)
+    counts = {b["bucket"]: b["count"] for b in body["histogram"]}
+    assert counts["0-5"] == 2
+    assert counts["100+"] == 1
+    assert counts["20-30"] == 0