feat(scrapers): NSPD client foundation (#94) — search + WMS + layers #98

Merged
lekss361 merged 2 commits from feat/nspd-client-foundation into main 2026-05-12 06:47:45 +00:00
3 changed files with 773 additions and 2 deletions

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@ -1020,7 +1020,7 @@ def analyze_parcel(
Issue #93 — Graceful fallback при отсутствии geometry:
- Не возвращаем 404 сразу. Вместо: enqueue NSPD on-demand fetch, ждём
inline до _INLINE_FETCH_WAIT_S (~25с). Если за это время геометрия
inline до _INLINE_FETCH_WAIT_S (~15с). Если за это время геометрия
появилась в БД продолжаем analyze (fast path).
- Иначе 202 Accepted + {status, job_id, eta_seconds} для polling
через GET /fetch-status.
@ -1057,7 +1057,8 @@ def analyze_parcel(
)
if not row:
# #93 — graceful fallback: enqueue NSPD fetch, await inline до 25s.
# #93 — graceful fallback: enqueue NSPD fetch, await inline до 15s
# (см. _INLINE_FETCH_WAIT_S — снижено с 25 для threadpool safety).
status, job_id, error_msg = find_or_enqueue_fetch(db, cad_num)
if status == "invalid_format":
raise HTTPException(status_code=400, detail=error_msg)

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@ -0,0 +1,449 @@
"""Унифицированный NSPD API client — foundation для G1/G2/G3/E1/#93.
Issue #94: при исследовании НСПД через debug browser найдено что
REST `/api/geoportal/v2/search/geoportal?query={cad}` возвращает GeoJSON
+ полные properties (ВРИ, категория земель, кадастровая стоимость, адрес)
за один запрос. Плюс WMS endpoints для тематических слоёв (ПЗЗ, ЗОУИТ,
территориальные зоны, risk zones).
Этот клиент покрывает 4 базовых метода API:
- search_by_cad(cad) SearchResult поиск по cad-номеру
- get_feature_info(layer_id, lon, lat) list[Feature] feature data на точке
- get_features_in_bbox(layer_id, bbox) list[Feature] bbox bulk через
GetFeatureInfo (WFS GetCapabilities 404, workaround)
- list_layers(theme_id) list[Layer] каталог слоёв в теме
Reuse: `fetch_geoportal` из `nspd_lite.py` (WAF-compatible urllib + rate limit).
Расширения сверх nspd_lite:
- Typed wrappers (NSPDFeature, NSPDLayer, NSPDSearchResult)
- WMS GetFeatureInfo / GetMap helpers (нет в nspd_lite)
- Coordinate transform EPSG:3857 4326 (NSPD WMS работает в Mercator)
WMS endpoints (per #94 issue body, TIER 1-6 каталог слоёв):
- TIER 1 критичные: 36048 ЗУ, 36071 кварталы, 36049 здания, 36328 сооружения,
875838 территориальные зоны (G1), 879243 красные линии
- TIER 2 ЗОУИТ (G3): 37577 ОКН, 37578 энергетики/связи, 37580 природные,
37579 охраняемых объектов, 37581 иные
- TIER 3 риски: 872202 подтопление, 872205 затопление, 872203 заболачивание,
872210 обвально-осыпные, 872211 абразия, etc.
"""
from __future__ import annotations
import json
import logging
import math
import time
import urllib.error
import urllib.parse
import urllib.request
from dataclasses import dataclass
from typing import Any
from app.services.scrapers.nspd_lite import (
_SSL_CTX,
HEADERS,
NspdLiteError,
NspdLiteWafError,
fetch_geoportal,
)
logger = logging.getLogger(__name__)
# WMS base — отдельный путь от geoportal/v2/search
NSPD_WMS_BASE = "https://nspd.gov.ru/api/aeggis/v4"
# Layers catalog endpoint
NSPD_LAYERS_TREE = "https://nspd.gov.ru/api/geoportal/v1/layers-theme-tree"
# Themes list
NSPD_THEMES = "https://nspd.gov.ru/api/geoportal/v1/layers-theme"
# Стандартные theme ID
THEME_PKK = 1
THEME_ARN = 665
# ── Layer ID catalog (TIER 1-6 per #94) ──────────────────────────────────────
# Не enum, а module-level dict — для удобства интроспекции и тестов.
# Использовать как: LAYERS["territorial_zones"] = 875838.
LAYERS: dict[str, int] = {
# TIER 1 — критичные для МКД (Gate-факторы)
"parcels": 36048, # Земельные участки ЕГРН
"quarters": 36071, # Кадастровые кварталы
"buildings": 36049, # Здания ЕГРН
"engineering_structures": 36328, # Сооружения ЕГРН
"territorial_zones": 875838, # ПЗЗ (G1 #28)
"red_lines": 879243, # Красные линии
# TIER 2 — ЗОУИТ (G3 #30)
"zouit_okn": 37577, # ОКН
"zouit_engineering": 37578, # энергетики/связи/транспорта
"zouit_natural": 37580, # природные (водоохранные, СЗО)
"zouit_protected": 37579, # охраняемых объектов (СЗЗ предприятий)
"zouit_other": 37581, # иные (публичный сервитут, ОЭЗ)
# TIER 3 — Risk / Negative
"risk_flooding_underground": 872202, # подтопление
"risk_flooding": 872205, # затопление
"risk_swampification": 872203, # заболачивание
"risk_landslide": 872210, # обвально-осыпные
"risk_abrasion": 872211, # абразия
"risk_erosion_water": 872153, # водная эрозия
"risk_erosion_linear": 872155,
"risk_erosion_wind": 872164,
"risk_desertification": 872182,
"risk_clutter": 872206, # захламление
"risk_burns": 872222, # гари
# TIER 4 — Opportunity / nature
"protected_areas": 875845, # ООПТ
"coast_lines_river": 875832,
"coast_lines_sea": 875835,
"forestries": 875866,
"auction_parcels": 37299, # ЗУ на аукционе — opportunity
"scheme_parcels": 37294, # ЗУ по схеме расположения
"free_parcels": 37298, # ЗУ свободные от прав
"future_parcels": 36473, # ЗУ по проекту межевания
"okn_territory": 875840,
"cadastral_cost_heatmap": 37236,
"cadastral_cost_per_m2_heatmap": 37758,
}
# Default rate limit (мс между запросами) — баланс между скоростью и WAF
DEFAULT_RATE_MS = 600
# SSL context — reuse `_SSL_CTX` из nspd_lite (one source of truth для WAF-
# compatible TLS settings; нет дублирования если что-то поменяется).
# ── Typed responses ──────────────────────────────────────────────────────────
@dataclass(frozen=True, slots=True)
class NSPDFeature:
"""Парсенный GeoJSON Feature из NSPD API.
`geometry` raw GeoJSON dict (Polygon/LineString/Point в EPSG:3857).
`properties` все returned attributes (cad_num, ВРИ, кост и т.д.).
"""
feature_id: str | None
geometry: dict[str, Any] | None
properties: dict[str, Any]
crs: str = "EPSG:3857" # NSPD default; для search /v2 фактически 3857
@classmethod
def from_raw(cls, raw: dict[str, Any]) -> NSPDFeature:
"""Парсим GeoJSON Feature dict в typed NSPDFeature."""
props = raw.get("properties") or {}
return cls(
feature_id=str(raw.get("id")) if raw.get("id") is not None else None,
geometry=raw.get("geometry"),
properties=props,
)
@dataclass(frozen=True, slots=True)
class NSPDSearchResult:
"""Aggregated результат поиска по cad — typed wrapper над feature list."""
cad_num: str
features: list[NSPDFeature]
raw: dict[str, Any] # original response для debugging / future-proofing
@property
def first(self) -> NSPDFeature | None:
"""Удобный shortcut: features[0] или None."""
return self.features[0] if self.features else None
@property
def is_empty(self) -> bool:
return not self.features
@dataclass(frozen=True, slots=True)
class NSPDLayer:
"""Метаданные layer'а из layers-theme-tree response."""
layer_id: int
title: str
layer_type: str | None # 'wms' | 'wfs' | etc
metadata: dict[str, Any]
# ── HTTP helper ──────────────────────────────────────────────────────────────
def _http_get_json(url: str, *, timeout: int = 15, rate_ms: int = 0) -> Any:
"""Внутренний GET-JSON helper с WAF-handling, paralleling nspd_lite.
Используется для endpoints которые не покрыты `fetch_geoportal` (WMS,
layers-tree). Reuse HEADERS + SSL context из nspd_lite общая защита от
WAF блокировки по TLS fingerprint.
"""
if rate_ms > 0:
time.sleep(rate_ms / 1000.0)
req = urllib.request.Request(url, headers=HEADERS)
try:
with urllib.request.urlopen(req, context=_SSL_CTX, timeout=timeout) as r:
body = r.read().decode("utf-8", "ignore")
return json.loads(body)
except urllib.error.HTTPError as e:
body = e.read().decode("utf-8", "ignore")[:300] if e.fp else ""
if e.code in (403, 429):
raise NspdLiteWafError(f"HTTP {e.code} (WAF/rate-limit): {body}") from e
raise NspdLiteError(f"HTTP {e.code}: {body}") from e
except urllib.error.URLError as e:
raise NspdLiteError(f"Network error: {e}") from e
# ── Coordinate transforms ────────────────────────────────────────────────────
def lonlat_to_3857(lon: float, lat: float) -> tuple[float, float]:
"""WGS84 lon/lat → EPSG:3857 Web Mercator (метры).
Стандартная формула; стандартная для всех Web mapping. NSPD WMS принимает
bbox в 3857.
"""
x = lon * 20037508.34 / 180.0
y = math.log(math.tan((90.0 + lat) * math.pi / 360.0)) / (math.pi / 180.0)
y = y * 20037508.34 / 180.0
return (x, y)
def bbox_around_point_m(
lon: float,
lat: float,
buffer_m: int,
) -> tuple[float, float, float, float]:
"""Микро-bbox вокруг точки в EPSG:3857 — для WMS GetFeatureInfo.
Returns (xmin, ymin, xmax, ymax). buffer_m по m в каждую сторону.
"""
x, y = lonlat_to_3857(lon, lat)
return (x - buffer_m, y - buffer_m, x + buffer_m, y + buffer_m)
# ── Public client API ────────────────────────────────────────────────────────
class NSPDClient:
"""Foundation-level NSPD client. 4 core methods.
Stateless все методы могут вызываться независимо. Используй один instance
на process (rate-limit shared между вызовами через time.sleep).
"""
def __init__(self, rate_ms: int = DEFAULT_RATE_MS, timeout: int = 15) -> None:
self.rate_ms = rate_ms
self.timeout = timeout
# ── 1. search_by_cad ────────────────────────────────────────────────────
def search_by_cad(self, cad_num: str, thematic_id: int = 1) -> NSPDSearchResult:
"""REST поиск /v2/search/geoportal — 1 запрос = geometry + ВРИ + кост.
Args:
cad_num: канонический формат `NN:NN:NNNNNN[:NN[:NN]]`, цифры через `:`.
Примеры:
- 3-сегментный квартал: `'66:41:0204016'`
- 4-сегментный участок: `'66:41:0204016:10'`
- 5-сегментное здание: `'66:41:0204016:10:1'`
Спецсимволы / пробелы корректно URL-encode'нутся (нет SQL/URL
injection), но НСПД молча вернёт empty result. Caller обязан
сам валидировать формат если нужна defensive обработка (см.
`app.services.site_finder.cadastre_fetch.validate_cad_format`).
thematic_id: 1 ЗУ / 2 квартал / 5 здание / 7 территориальная зона.
Default 1 соответствует use-case G2 ВРИ.
Returns:
NSPDSearchResult с typed features. `result.is_empty` cad не найден.
Raises:
NspdLiteWafError при 403/429 caller должен сделать backoff.
NspdLiteError при прочих 4xx/5xx.
Закрывает: G2 #29 ВРИ, поддержка on-demand #93/#51.
"""
raw = fetch_geoportal(
cad_num,
thematic_id=thematic_id,
timeout=self.timeout,
rate_ms=self.rate_ms,
)
# Response shape: {"data": {"type": "FeatureCollection", "features": [...]}}
data = raw.get("data") or {}
feats = data.get("features") or []
features = [NSPDFeature.from_raw(f) for f in feats]
return NSPDSearchResult(cad_num=cad_num, features=features, raw=raw)
# ── 2. get_feature_info ─────────────────────────────────────────────────
def get_feature_info(
self,
layer_id: int,
lon: float,
lat: float,
buffer_m: int = 100,
) -> list[NSPDFeature]:
"""WMS GetFeatureInfo на точке — какие feature'ы layer'а покрывают (lon, lat).
Использует микро-bbox вокруг точки в EPSG:3857 (WMS требует bbox + I/J
пиксель). Tile 256x256, I=128, J=128 центр.
Returns features (может быть 0+).
Use cases:
- ВРИ конкретного участка (layer_id=875838 territorial_zones)
- ЗОУИТ на участке (layer_id=37577..37581)
- Risk zones overlap (872xxx)
"""
xmin, ymin, xmax, ymax = bbox_around_point_m(lon, lat, buffer_m)
params = {
"SERVICE": "WMS",
"VERSION": "1.3.0",
"REQUEST": "GetFeatureInfo",
"FORMAT": "image/png",
"TRANSPARENT": "true",
"QUERY_LAYERS": str(layer_id),
"LAYERS": str(layer_id),
"INFO_FORMAT": "application/json",
# STYLES обязателен (пустой), иначе INFO_FORMAT игнорируется per NSPD WAF
"STYLES": "",
"I": "128",
"J": "128",
"WIDTH": "256",
"HEIGHT": "256",
"CRS": "EPSG:3857",
"BBOX": f"{xmin},{ymin},{xmax},{ymax}",
}
url = f"{NSPD_WMS_BASE}/{layer_id}/wms?{urllib.parse.urlencode(params)}"
data = _http_get_json(url, timeout=self.timeout, rate_ms=self.rate_ms)
feats = (data or {}).get("features") or []
return [NSPDFeature.from_raw(f) for f in feats]
# ── 3. get_features_in_bbox ─────────────────────────────────────────────
def get_features_in_bbox(
self,
layer_id: int,
bbox_3857: tuple[float, float, float, float],
*,
width: int = 4096,
height: int = 4096,
) -> list[NSPDFeature]:
"""Bulk fetch features в bbox через GetFeatureInfo с большим bbox.
Workaround: WFS GetCapabilities 404 на nspd.gov.ru, нет WFS
GetFeature endpoint. Решение: использовать GetFeatureInfo с large
bbox и точкой в центре (I=W/2, J=H/2) возвращает все features
пересекающиеся с bbox.
Args:
bbox_3857: (xmin, ymin, xmax, ymax) в EPSG:3857 метрах.
width/height: размер виртуального tile. Большой большой bbox.
Returns:
list[NSPDFeature]; пусто если ничего не найдено.
Use cases (per #94 acceptance):
- sync_territorial_zones_bbox закрывает G1 #28 ПЗЗ
- sync_zouit_*_bbox G3 #30
- sync_risk_zones_bbox новый risk overlay
"""
xmin, ymin, xmax, ymax = bbox_3857
params = {
"SERVICE": "WMS",
"VERSION": "1.3.0",
"REQUEST": "GetFeatureInfo",
"FORMAT": "image/png",
"TRANSPARENT": "true",
"QUERY_LAYERS": str(layer_id),
"LAYERS": str(layer_id),
"INFO_FORMAT": "application/json",
"STYLES": "",
"I": str(width // 2),
"J": str(height // 2),
"WIDTH": str(width),
"HEIGHT": str(height),
"CRS": "EPSG:3857",
"BBOX": f"{xmin},{ymin},{xmax},{ymax}",
}
url = f"{NSPD_WMS_BASE}/{layer_id}/wms?{urllib.parse.urlencode(params)}"
data = _http_get_json(url, timeout=self.timeout, rate_ms=self.rate_ms)
feats = (data or {}).get("features") or []
return [NSPDFeature.from_raw(f) for f in feats]
# ── 4. list_layers ──────────────────────────────────────────────────────
def list_layers(self, theme_id: int = THEME_PKK) -> list[NSPDLayer]:
"""Полный каталог слоёв в теме (PKK / ARN).
Use case: admin UI «выбрать layer для bulk-импорта», discovery новых
слоёв при изменении NSPD каталога.
"""
url = f"{NSPD_LAYERS_TREE}?themeId={theme_id}"
data = _http_get_json(url, timeout=self.timeout, rate_ms=self.rate_ms)
# Shape defense: NSPD иногда оборачивает в {"data": [...]} — паттерн уже
# ловили в Bug_Nspd_Geo_Str_Object_No_Get_Fixed. Без проверки walker
# молча вернул бы [], а caller увидел бы пустой catalog.
if isinstance(data, dict) and "data" in data and not data.get("children"):
data = data.get("data") or []
if not isinstance(data, list | dict):
logger.warning(
"list_layers: unexpected NSPD response type %s for theme_id=%s",
type(data).__name__,
theme_id,
)
return []
layers: list[NSPDLayer] = []
# Tree response: nested {"children": [...], "id": N, "title": "..."}
# Используем walker по subtree чтобы вытащить все leaf layers
for entry in _walk_layer_tree(data):
layers.append(
NSPDLayer(
layer_id=int(entry["id"]),
title=str(entry.get("title", "")),
layer_type=entry.get("layerType") or entry.get("layer_type"),
metadata=entry,
)
)
return layers
def _walk_layer_tree(node: Any) -> list[dict[str, Any]]:
"""Рекурсивный walker для NSPD layers-theme-tree. Yields leaf nodes."""
out: list[dict[str, Any]] = []
if isinstance(node, dict):
# Leaf если есть id + нет children (или children пустой)
children = node.get("children") or []
if "id" in node and not children:
out.append(node)
elif "id" in node and children:
# Branch с id — может быть и сам layer, и группа. NSPD сейчас
# treats group nodes как "не имеющий wms-endpoint" — но включаем
# на случай если они оба leaves (хитрая branch).
out.append(node)
for ch in children:
out.extend(_walk_layer_tree(ch))
elif isinstance(node, list):
for item in node:
out.extend(_walk_layer_tree(item))
return out
__all__ = [
"LAYERS",
"NSPD_THEMES",
"NSPD_WMS_BASE",
"THEME_ARN",
"THEME_PKK",
"NSPDClient",
"NSPDFeature",
"NSPDLayer",
"NSPDSearchResult",
"NspdLiteError",
"NspdLiteWafError",
"bbox_around_point_m",
"lonlat_to_3857",
]

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@ -0,0 +1,321 @@
"""Unit tests для nspd_client (#94). Без сетевых запросов — только parsing.
Network calls (search_by_cad / get_feature_info / list_layers) проверяются
вручную через `python -c "from app.services.scrapers.nspd_client import
NSPDClient; print(NSPDClient().search_by_cad('66:41:0204016:10'))"` —
проверяется в production smoke test после deploy.
"""
from __future__ import annotations
from typing import Any
import pytest
from app.services.scrapers.nspd_client import (
LAYERS,
NSPDClient,
NSPDFeature,
NSPDLayer,
NSPDSearchResult,
_walk_layer_tree,
bbox_around_point_m,
lonlat_to_3857,
)
def test_layers_catalog_has_critical_ids() -> None:
"""Sanity check: TIER 1 critical layers зарегистрированы."""
# Из #94: TIER 1 включает 875838 (территориальные зоны / ПЗЗ G1)
assert LAYERS["territorial_zones"] == 875838
assert LAYERS["parcels"] == 36048
assert LAYERS["buildings"] == 36049
assert LAYERS["quarters"] == 36071
# TIER 2 ЗОУИТ (G3)
assert LAYERS["zouit_okn"] == 37577
assert LAYERS["zouit_engineering"] == 37578
assert LAYERS["zouit_natural"] == 37580
def test_lonlat_to_3857_zero() -> None:
"""0,0 → ~0,0 (with tiny floating error)."""
x, y = lonlat_to_3857(0.0, 0.0)
assert abs(x) < 1.0
assert abs(y) < 1.0
def test_lonlat_to_3857_ekb_center() -> None:
"""ЕКБ центр (60.605, 56.838) — known approximate projection."""
x, y = lonlat_to_3857(60.605, 56.838)
# Sanity: положительный x (восточная долгота), положительный y (северная)
assert x > 6_700_000
assert x < 6_800_000
assert y > 7_700_000
assert y < 7_800_000
def test_bbox_around_point_m_basic() -> None:
"""100m buffer вокруг точки → bbox с side ≈ 200m."""
xmin, ymin, xmax, ymax = bbox_around_point_m(60.605, 56.838, 100)
assert abs((xmax - xmin) - 200) < 1.0
assert abs((ymax - ymin) - 200) < 1.0
def test_nspd_feature_from_raw_minimal() -> None:
"""Парсинг минимального GeoJSON Feature."""
raw = {
"id": "feat-1",
"geometry": {"type": "Point", "coordinates": [1, 2]},
"properties": {"cad_num": "66:41:0204016:10"},
}
feat = NSPDFeature.from_raw(raw)
assert feat.feature_id == "feat-1"
assert feat.geometry is not None
assert feat.geometry["type"] == "Point"
assert feat.properties["cad_num"] == "66:41:0204016:10"
assert feat.crs == "EPSG:3857"
def test_nspd_feature_from_raw_missing_id() -> None:
"""Feature без id → feature_id is None."""
feat = NSPDFeature.from_raw({"geometry": None, "properties": {}})
assert feat.feature_id is None
assert feat.geometry is None
assert feat.properties == {}
def test_nspd_search_result_empty() -> None:
"""Empty result → first is None, is_empty True."""
result = NSPDSearchResult(cad_num="x", features=[], raw={})
assert result.first is None
assert result.is_empty is True
def test_nspd_search_result_nonempty() -> None:
"""First feature accessible через .first."""
feat = NSPDFeature.from_raw({"id": "x", "geometry": None, "properties": {}})
result = NSPDSearchResult(cad_num="x", features=[feat], raw={})
assert result.first is feat
assert result.is_empty is False
def test_walk_layer_tree_flat() -> None:
"""Flat list of layers — все попадают в output."""
tree: list[dict[str, Any]] = [
{"id": 1, "title": "A", "children": []},
{"id": 2, "title": "B", "children": []},
]
out = _walk_layer_tree(tree)
ids = sorted(x["id"] for x in out)
assert ids == [1, 2]
def test_walk_layer_tree_nested() -> None:
"""Nested tree — все leaves вытаскиваются."""
tree = {
"id": 1,
"title": "root",
"children": [
{"id": 2, "title": "child", "children": []},
{
"id": 3,
"title": "branch",
"children": [
{"id": 4, "title": "grandchild", "children": []},
],
},
],
}
out = _walk_layer_tree(tree)
ids = sorted(x["id"] for x in out)
# Все уровни включены — root, child, branch, grandchild
assert ids == [1, 2, 3, 4]
def test_walk_layer_tree_empty() -> None:
"""Empty input → empty output, no crash."""
assert _walk_layer_tree({}) == []
assert _walk_layer_tree([]) == []
assert _walk_layer_tree(None) == [] # type: ignore[arg-type]
def test_nspd_client_search_by_cad_parses_response(monkeypatch: pytest.MonkeyPatch) -> None:
"""search_by_cad оборачивает fetch_geoportal в NSPDSearchResult."""
fake_raw = {
"data": {
"type": "FeatureCollection",
"features": [
{
"id": "f1",
"geometry": {"type": "Polygon", "coordinates": []},
"properties": {
"cad_num": "66:41:0204016:10",
"land_record_area": 1500,
"permitted_use_established_by_document": "Многоэтажная жилая",
},
}
],
}
}
def fake_fetch(query: str, **kwargs: Any) -> dict[str, Any]:
assert query == "66:41:0204016:10"
return fake_raw
# Patch the imported reference in nspd_client (it was imported by name)
monkeypatch.setattr(
"app.services.scrapers.nspd_client.fetch_geoportal",
fake_fetch,
)
client = NSPDClient()
result = client.search_by_cad("66:41:0204016:10")
assert result.cad_num == "66:41:0204016:10"
assert len(result.features) == 1
assert result.first is not None
assert result.first.properties["permitted_use_established_by_document"] == "Многоэтажная жилая"
assert result.raw is fake_raw # preserved для debugging
def test_nspd_client_search_by_cad_empty(monkeypatch: pytest.MonkeyPatch) -> None:
"""Empty response → is_empty True, no crash."""
monkeypatch.setattr(
"app.services.scrapers.nspd_client.fetch_geoportal",
lambda *a, **kw: {"data": {"type": "FeatureCollection", "features": []}},
)
result = NSPDClient().search_by_cad("99:99:9999999")
assert result.is_empty is True
assert result.first is None
def test_nspd_layer_dataclass() -> None:
"""NSPDLayer immutable, hashable (frozen + slots)."""
layer = NSPDLayer(layer_id=875838, title="Терр.зоны", layer_type="wms", metadata={})
assert layer.layer_id == 875838
# Frozen
with pytest.raises(AttributeError):
layer.title = "x" # type: ignore[misc]
# ── Mock tests for WMS/layers methods (no network) ──────────────────────────
def test_get_feature_info_parses_response(monkeypatch: pytest.MonkeyPatch) -> None:
"""get_feature_info вызывает _http_get_json с правильным URL + парсит features."""
captured_urls: list[str] = []
def fake_http(url: str, **kwargs: Any) -> dict[str, Any]:
captured_urls.append(url)
return {
"type": "FeatureCollection",
"features": [
{
"id": "tz-1",
"geometry": {"type": "Polygon", "coordinates": []},
"properties": {"zone_code": "Ж-1"},
}
],
}
monkeypatch.setattr("app.services.scrapers.nspd_client._http_get_json", fake_http)
client = NSPDClient()
feats = client.get_feature_info(875838, lon=60.605, lat=56.838, buffer_m=100)
assert len(feats) == 1
assert feats[0].properties["zone_code"] == "Ж-1"
# Verify URL structure
assert len(captured_urls) == 1
url = captured_urls[0]
assert "/api/aeggis/v4/875838/wms?" in url
assert "REQUEST=GetFeatureInfo" in url
assert "INFO_FORMAT=application%2Fjson" in url
assert "STYLES=" in url # required per NSPD WAF
assert "CRS=EPSG%3A3857" in url
# bbox should reflect 100m buffer (200m side)
assert "BBOX=" in url
def test_get_features_in_bbox_url_builds_correctly(monkeypatch: pytest.MonkeyPatch) -> None:
"""get_features_in_bbox использует переданный bbox без преобразования."""
captured_urls: list[str] = []
def fake_http(url: str, **kwargs: Any) -> dict[str, Any]:
captured_urls.append(url)
return {"features": []}
monkeypatch.setattr("app.services.scrapers.nspd_client._http_get_json", fake_http)
client = NSPDClient()
bbox = (6700000.0, 7700000.0, 6800000.0, 7800000.0) # ЕКБ region in 3857
feats = client.get_features_in_bbox(875838, bbox)
assert feats == []
assert len(captured_urls) == 1
url = captured_urls[0]
# bbox passed directly into BBOX param (URL-encoded comma = %2C)
assert "BBOX=6700000.0%2C7700000.0%2C6800000.0%2C7800000.0" in url
# Large width/height для bulk fetch
assert "WIDTH=4096" in url
assert "HEIGHT=4096" in url
# I/J pointer в центр виртуального тайла
assert "I=2048" in url
assert "J=2048" in url
def test_list_layers_walks_tree_response(monkeypatch: pytest.MonkeyPatch) -> None:
"""list_layers вызывает /layers-theme-tree и распаковывает в NSPDLayer."""
fake_tree = [
{
"id": 1,
"title": "PKK тема",
"children": [
{
"id": 875838,
"title": "Территориальные зоны",
"layerType": "wms",
"children": [],
},
{
"id": 37577,
"title": "ЗОУИТ ОКН",
"layerType": "wms",
"children": [],
},
],
}
]
monkeypatch.setattr(
"app.services.scrapers.nspd_client._http_get_json",
lambda url, **kw: fake_tree,
)
client = NSPDClient()
layers = client.list_layers(theme_id=1)
layer_ids = [layer.layer_id for layer in layers]
# Root + 2 children = 3 leaves
assert 875838 in layer_ids
assert 37577 in layer_ids
# Sample layer metadata preserved
tz_layer = next(layer for layer in layers if layer.layer_id == 875838)
assert tz_layer.title == "Территориальные зоны"
assert tz_layer.layer_type == "wms"
def test_list_layers_handles_data_wrapper(monkeypatch: pytest.MonkeyPatch) -> None:
"""Shape defense — NSPD иногда оборачивает в {"data": [...]}."""
fake_wrapped = {
"data": [{"id": 36048, "title": "ЗУ", "children": []}],
"meta": {"count": 1},
}
monkeypatch.setattr(
"app.services.scrapers.nspd_client._http_get_json",
lambda url, **kw: fake_wrapped,
)
layers = NSPDClient().list_layers(theme_id=1)
assert len(layers) >= 1
assert any(layer.layer_id == 36048 for layer in layers)
def test_list_layers_handles_garbage_response(monkeypatch: pytest.MonkeyPatch) -> None:
"""Не dict/list response → empty list + warning log (no crash)."""
monkeypatch.setattr(
"app.services.scrapers.nspd_client._http_get_json",
lambda url, **kw: "garbage string",
)
assert NSPDClient().list_layers(theme_id=1) == []