Old HTML scraper dead: /search?city_id retired in DomClick redesign + VPS IP QRATOR-banned (prod domclick_city_sweep reported done/0 every run). New path: - GET bff-search-web.domclick.ru/api/offers/v1 + count/v1 via BrowserFetcher(source="domclick") -> generic provider -> shared mobile proxy -> bypasses QRATOR (prod-verified live: 20 items returned, no block). - Sweeps 6 room buckets (st/1/2/3/4/5+); recursive binary price-split for oversized buckets (rooms=2 ~2215 > offset cap 2000); count/v1 sizes buckets. - Maps SERP JSON -> ScrapedLot with lat/lon at ~100% (closes avito 54% NULL-lat gap); per-card EKB geo-guard. - Honest status (#1968): QRATOR block OR fetch errors with 0 lots -> mark_failed, not mark_done. Parse failures are per-page resilient (break bucket, keep partial lots) so a transient bad page never aborts the whole sweep. - Schedule shipped DORMANT (enabled=false, pages=100) via 138_domclick_bff_rewrite_schedule.sql; operator enables after prod smoke. 42 scraper tests (price-split boundaries, parse-error resilience, honest status); full backend suite green; ruff clean. Layer B (detail renovation/wallType/ priceHistory) deferred to #1846 follow-up.
372 lines
13 KiB
Python
372 lines
13 KiB
Python
"""Offline unit tests for run_domclick_city_sweep + DomClick parser.
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Pure & fast: NO live network, NO DB. Mirrors test_cian_city_sweep orchestration
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semantics, but DomClick is CITYWIDE (no anchor-loop) и SERP-only (no detail/houses).
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Coverage:
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- fetch_city вызывается, save_listings получает накопленные lots с source='domklik'
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- DomClickCitySweepCounters корректно заполняется (lots_fetched/inserted/updated)
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- Cooperative cancel прерывает sweep перед SERP
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- fetch_city exception не валит sweep (graceful, errors_count++, mark_done)
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- _parse_html: минимальная DomClick карточка → ScrapedLot с rooms/area/floor/price
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"""
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from __future__ import annotations
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import os
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os.environ.setdefault("DATABASE_URL", "postgresql+psycopg://test:test@localhost:5432/test")
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from typing import Any
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from unittest.mock import MagicMock
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import pytest
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from app.services import scrape_pipeline
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from app.services.scrapers.base import ScrapedLot
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from app.services.scrapers.domclick import DomClickScraper
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def _fake_lot(offer_id: str) -> ScrapedLot:
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return ScrapedLot(
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source="domklik",
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source_url=f"https://domclick.ru/card/sale__flat__{offer_id}",
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source_id=offer_id,
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address="Екатеринбург, улица Тестовая, 1",
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price_rub=5_000_000,
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area_m2=50.0,
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rooms=2,
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lat=None,
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lon=None,
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)
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class _FakeRuns:
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"""Stub для scrape_runs: отслеживает вызовы, поддерживает cooperative cancel."""
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def __init__(self, *, cancel: bool = False) -> None:
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self.cancel = cancel
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self.heartbeats: list[dict[str, int]] = []
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self.done: dict[str, int] | None = None
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self.failed: tuple[str, dict[str, int]] | None = None
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def is_cancelled(self, _db: Any, _run_id: int) -> bool:
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return self.cancel
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def update_heartbeat(self, _db: Any, _run_id: int, counters: dict[str, int]) -> None:
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self.heartbeats.append(dict(counters))
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def mark_done(self, _db: Any, _run_id: int, counters: dict[str, int]) -> None:
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self.done = dict(counters)
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def mark_failed(self, _db: Any, _run_id: int, error: str, counters: dict[str, int]) -> None:
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self.failed = (error, dict(counters))
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@pytest.fixture(autouse=True)
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def _no_sleep(monkeypatch: pytest.MonkeyPatch) -> None:
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async def _instant(_secs: float) -> None:
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return None
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monkeypatch.setattr(scrape_pipeline.asyncio, "sleep", _instant)
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@pytest.fixture(autouse=True)
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def _stub_domclick_lifecycle(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Нейтрализуем DomClickScraper.__init__/__aenter__/__aexit__ — нет DB/browser."""
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def _init(self: DomClickScraper) -> None:
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self.request_delay_sec = 0.0
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self.parse_failures = 0
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self.geo_filtered = 0
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self.blocked = False
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self.fetch_errors = 0
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async def _aenter(self: DomClickScraper) -> DomClickScraper:
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return self
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async def _aexit(self: DomClickScraper, *_args: Any) -> None:
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return None
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monkeypatch.setattr(DomClickScraper, "__init__", _init)
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monkeypatch.setattr(DomClickScraper, "__aenter__", _aenter)
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monkeypatch.setattr(DomClickScraper, "__aexit__", _aexit)
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def _install_runs(monkeypatch: pytest.MonkeyPatch, fake: _FakeRuns) -> None:
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monkeypatch.setattr(scrape_pipeline.scrape_runs, "is_cancelled", fake.is_cancelled)
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monkeypatch.setattr(scrape_pipeline.scrape_runs, "update_heartbeat", fake.update_heartbeat)
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monkeypatch.setattr(scrape_pipeline.scrape_runs, "mark_done", fake.mark_done)
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monkeypatch.setattr(scrape_pipeline.scrape_runs, "mark_failed", fake.mark_failed)
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# ── DomClickCitySweepCounters ───────────────────────────────────────────────
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def test_domclick_sweep_counters_defaults() -> None:
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from app.services.scrape_pipeline import DomClickCitySweepCounters
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c = DomClickCitySweepCounters()
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assert c.lots_fetched == 0
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assert c.lots_inserted == 0
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assert c.lots_updated == 0
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assert c.pages_fetched == 0
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assert c.errors_count == 0
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assert c.blocked == 0
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assert c.geo_filtered == 0
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def test_domclick_sweep_counters_to_dict_all_keys() -> None:
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from dataclasses import fields
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from app.services.scrape_pipeline import DomClickCitySweepCounters
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c = DomClickCitySweepCounters()
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d = c.to_dict()
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expected = {f.name for f in fields(c)}
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assert set(d.keys()) == expected
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# ── Full sweep — фазы и агрегация ──────────────────────────────────────────
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async def test_sweep_fetches_and_saves_with_source(monkeypatch: pytest.MonkeyPatch) -> None:
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"""fetch_city → save_listings получает 2 lots с source='domklik', counters заполнены."""
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fetch_calls: list[tuple[int, int]] = []
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save_calls: list[list[ScrapedLot]] = []
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async def fake_fetch_city(
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self: DomClickScraper,
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city_id: int,
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rooms: list[int] | None = None,
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pages: int = 20,
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) -> list[ScrapedLot]:
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fetch_calls.append((city_id, pages))
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return [_fake_lot("100"), _fake_lot("101")]
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def fake_save(_db: Any, lots: list, *, run_id: int | None = None) -> tuple[int, int]:
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save_calls.append(list(lots))
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return len(lots), 0
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monkeypatch.setattr(DomClickScraper, "fetch_city", fake_fetch_city)
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monkeypatch.setattr(scrape_pipeline, "save_listings", fake_save)
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fake = _FakeRuns()
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_install_runs(monkeypatch, fake)
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counters = await scrape_pipeline.run_domclick_city_sweep(
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db=MagicMock(),
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run_id=1,
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city_id=4,
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rooms=[1, 2],
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pages=3,
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request_delay_sec=0.0,
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)
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assert len(fetch_calls) == 1
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assert fetch_calls[0] == (4, 3)
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assert len(save_calls) == 1
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assert len(save_calls[0]) == 2
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assert all(lot.source == "domklik" for lot in save_calls[0])
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assert counters.lots_fetched == 2
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assert counters.lots_inserted == 2
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assert counters.lots_updated == 0
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assert counters.errors_count == 0
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assert fake.done is not None
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assert fake.done["lots_fetched"] == 2
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assert fake.failed is None
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async def test_sweep_empty_serp_still_mark_done(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Пустой SERP → save не вызывается, но mark_done всё равно вызывается."""
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save_called = False
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async def fake_fetch_empty(
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self: DomClickScraper,
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city_id: int,
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rooms: list[int] | None = None,
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pages: int = 20,
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) -> list[ScrapedLot]:
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return []
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def fake_save(_db: Any, lots: list, *, run_id: int | None = None) -> tuple[int, int]:
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nonlocal save_called
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save_called = True
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return 0, 0
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monkeypatch.setattr(DomClickScraper, "fetch_city", fake_fetch_empty)
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monkeypatch.setattr(scrape_pipeline, "save_listings", fake_save)
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fake = _FakeRuns()
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_install_runs(monkeypatch, fake)
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counters = await scrape_pipeline.run_domclick_city_sweep(
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db=MagicMock(), run_id=2, request_delay_sec=0.0
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)
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assert save_called is False
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assert counters.lots_fetched == 0
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assert fake.done is not None
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async def test_cancel_before_serp_skips_fetch(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Cooperative cancel перед SERP → fetch_city НЕ вызывается, mark_done НЕ вызывается."""
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fetch_called = False
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async def fake_fetch(
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self: DomClickScraper,
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city_id: int,
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rooms: list[int] | None = None,
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pages: int = 20,
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) -> list[ScrapedLot]:
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nonlocal fetch_called
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fetch_called = True
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return [_fake_lot("1")]
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monkeypatch.setattr(DomClickScraper, "fetch_city", fake_fetch)
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monkeypatch.setattr(scrape_pipeline, "save_listings", lambda *a, **k: (0, 0))
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fake = _FakeRuns(cancel=True)
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_install_runs(monkeypatch, fake)
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counters = await scrape_pipeline.run_domclick_city_sweep(
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db=MagicMock(), run_id=3, request_delay_sec=0.0
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)
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assert fetch_called is False
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assert counters.lots_fetched == 0
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assert fake.done is None
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async def test_fetch_city_exception_no_reraise(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Исключение в fetch_city → errors_count++, sweep НЕ ре-райзит (graceful).
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Honest-status (#1968): полный крах SERP-фазы (errors_count=1, 0 lots) → mark_failed,
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НЕ mark_done. Run без единого листинга по внешней причине — это реальный failure,
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а не успешный пустой прогон. Re-raise при этом НЕ происходит (task завершается чисто).
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"""
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async def fake_fetch_fail(
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self: DomClickScraper,
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city_id: int,
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rooms: list[int] | None = None,
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pages: int = 20,
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) -> list[ScrapedLot]:
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raise RuntimeError("browser crashed")
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monkeypatch.setattr(DomClickScraper, "fetch_city", fake_fetch_fail)
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monkeypatch.setattr(scrape_pipeline, "save_listings", lambda *a, **k: (0, 0))
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fake = _FakeRuns()
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_install_runs(monkeypatch, fake)
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counters = await scrape_pipeline.run_domclick_city_sweep(
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db=MagicMock(), run_id=4, request_delay_sec=0.0
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)
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assert counters.errors_count == 1
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assert counters.lots_fetched == 0
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# 0 lots + error → honest mark_failed (не маскируем как done)
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assert fake.failed is not None
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assert fake.done is None
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async def test_fetch_errors_and_no_lots_marks_failed(monkeypatch: pytest.MonkeyPatch) -> None:
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"""Scraper fetch_errors>0 + 0 лотов (без block) → mark_failed (FIX 3 / closes #1968).
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Нераспознанный block-вариант приходит как fetch_error (не blocked=True), но
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honest-status всё равно обязан пометить run failed при пустом результате.
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"""
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async def fake_fetch_errs(
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self: DomClickScraper,
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city_id: int,
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rooms: list[int] | None = None,
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pages: int = 100,
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) -> list[ScrapedLot]:
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# Имитируем не-block ошибки извлечения JSON: blocked остаётся False
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self.fetch_errors = 3
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return []
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monkeypatch.setattr(DomClickScraper, "fetch_city", fake_fetch_errs)
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monkeypatch.setattr(scrape_pipeline, "save_listings", lambda *a, **k: (0, 0))
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fake = _FakeRuns()
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_install_runs(monkeypatch, fake)
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counters = await scrape_pipeline.run_domclick_city_sweep(
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db=MagicMock(), run_id=6, request_delay_sec=0.0
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)
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assert counters.lots_fetched == 0
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assert counters.blocked == 0
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assert counters.errors_count >= 3 # fetch_errors свёрнуты в errors_count
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assert fake.failed is not None
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assert fake.done is None
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async def test_blocked_and_no_lots_marks_failed(monkeypatch: pytest.MonkeyPatch) -> None:
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"""QRATOR-блок + 0 лотов → mark_failed (честный статус, closes #1968)."""
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async def fake_fetch_blocked(
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self: DomClickScraper,
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city_id: int,
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rooms: list[int] | None = None,
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pages: int = 100,
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) -> list[ScrapedLot]:
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# Имитируем QRATOR-блок: установим флаг на scraper и вернём пустой список
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self.blocked = True
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return []
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monkeypatch.setattr(DomClickScraper, "fetch_city", fake_fetch_blocked)
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monkeypatch.setattr(scrape_pipeline, "save_listings", lambda *a, **k: (0, 0))
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fake = _FakeRuns()
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_install_runs(monkeypatch, fake)
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counters = await scrape_pipeline.run_domclick_city_sweep(
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db=MagicMock(), run_id=5, request_delay_sec=0.0
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)
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assert counters.lots_fetched == 0
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assert counters.blocked == 1
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# Честный статус: mark_failed должен быть вызван, mark_done — нет
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assert fake.failed is not None
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assert "QRATOR" in fake.failed[0]
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assert fake.done is None
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# ── _map_item via sweep — quick integration smoke ────────────────────────────
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def test_map_item_basic_mapping() -> None:
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"""DomClickScraper._map_item маппит BFF offer-item → ScrapedLot корректно."""
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scraper = DomClickScraper() # __init__ stubbed
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item = {
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"id": 111222333,
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"path": "https://domclick.ru/card/sale__flat__111222333",
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"location": {"lat": 56.838, "lon": 60.612},
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"address": {"displayName": "Екатеринбург, улица Ленина, 10"},
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"objectInfo": {"area": 52.3, "rooms": 2, "floor": 5},
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"house": {"floors": 16, "buildYear": 2010},
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"price": 6_500_000,
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"squarePrice": 124282,
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"flatComplex": None,
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"isRosreestrApproved": False,
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"publishedDate": "2026-06-01T10:00:00+05:00",
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"updatedDate": None,
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"lastPriceHistoryState": None,
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"offerRegionName": "Екатеринбург",
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}
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lot = scraper._map_item(item)
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assert lot is not None
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assert lot.source == "domklik"
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assert lot.source_id == "111222333"
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assert lot.rooms == 2
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assert lot.area_m2 == pytest.approx(52.3)
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assert lot.floor == 5
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assert lot.total_floors == 16
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assert lot.price_rub == 6_500_000
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assert lot.listing_segment == "vtorichka"
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assert lot.lat == pytest.approx(56.838)
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assert lot.lon == pytest.approx(60.612)
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