cleanup and fix runtime bugs

This commit is contained in:
qananasikq
2026-04-08 22:54:16 +03:00
parent 90bd4756b3
commit 6e97991c68
21 changed files with 220 additions and 400 deletions

View File

@@ -1,5 +1,6 @@
from .factory import BrowserFactory
from .listing import ListingCollector
from .network import NetworkCapture
from .pace import HumanPacer
__all__ = ["BrowserFactory", "NetworkCapture", "HumanPacer"]
__all__ = ["BrowserFactory", "ListingCollector", "NetworkCapture", "HumanPacer"]

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@@ -11,7 +11,6 @@ logger = logging.getLogger("iaai_scraper.browser")
def _build_init_script() -> str:
"""JS-патч признаков автоматизации."""
# Подмешиваем базовые browser fingerprint overrides.
hardware_concurrency = random.choice([4, 8, 12, 16])
device_memory = random.choice([4, 8, 16])
languages = ["en-US", "en"]
@@ -62,11 +61,9 @@ def _build_init_script() -> str:
class BrowserFactory:
def __init__(self, settings: Settings) -> None:
# Фабрика браузера и контекстов на основе env-настроек.
self.settings = settings
def create_browser(self, playwright: Playwright) -> Browser:
# пробуем Chrome, если нет — Chromium
launch_kwargs: dict = {
"headless": self.settings.headless,
"args": [
@@ -88,8 +85,6 @@ class BrowserFactory:
return playwright.chromium.launch(**launch_kwargs)
def create_context(self, browser: Browser, storage_state: str | None = None) -> BrowserContext:
# рандом viewport/timezone под каждый контекст
# Контекст изолирует cookies, headers и fingerprint-параметры.
viewport = random.choice(self.settings.fingerprint.viewport_presets)
timezone_id = random.choice(self.settings.fingerprint.timezone_candidates)
color_scheme = random.choice(["light", "dark"])

View File

@@ -23,7 +23,7 @@ class NetworkCapture:
_origin: str | None = None
def attach(self, page: Page, origin_url: str | None = None) -> None:
# Подписываемся на request/response события страницы.
# Подписка на сетевые события.
try:
self._origin = urlparse(origin_url or page.url).netloc.lower() or None
except Exception:
@@ -32,22 +32,22 @@ class NetworkCapture:
page.on("response", self._on_response)
def _is_same_origin(self, url: str) -> bool:
# При необходимости ограничиваемся same-origin и доменами IAAI.
if not self.settings.gentle.capture_same_origin_only or not self._origin:
# Фильтр по домену.
if not self.settings.capture.capture_same_origin_only or not self._origin:
return True
netloc = urlparse(url).netloc.lower()
return netloc == self._origin or netloc.endswith(".iaai.com")
def _on_request(self, request: Request) -> None:
# только xhr/fetch
# Берем только xhr/fetch.
if request.resource_type not in {"xhr", "fetch"}:
return
if not self._is_same_origin(request.url):
return
if len(self.requests) >= self.settings.gentle.max_requests:
if len(self.requests) >= self.settings.capture.max_requests:
return
key = f"{request.method}:{request.url}:{request.post_data or ''}"
# Дедупликация одинаковых запросов.
# Убираем дубли.
if key in self._seen_req:
return
self._seen_req.add(key)
@@ -57,13 +57,13 @@ class NetworkCapture:
})
def _on_response(self, response: Response) -> None:
# сохраняем json
# Сохраняем JSON.
request = response.request
if request.resource_type not in {"xhr", "fetch"}:
return
if not self._is_same_origin(response.url):
return
if len(self.json_responses) >= self.settings.gentle.max_json_responses:
if len(self.json_responses) >= self.settings.capture.max_json_responses:
return
if not self._is_json(response):
return
@@ -95,7 +95,7 @@ class NetworkCapture:
@staticmethod
def _categorize(url: str) -> str:
# Простая эвристика для разбивки ответов по смыслу.
# Простая категория URL.
low = url.lower()
mapping = {
"images": ["image", "media", "photos", "gallery"],
@@ -110,15 +110,13 @@ class NetworkCapture:
return "other"
def export(self) -> dict[str, Any]:
# полезные категории сначала, other в конец
prioritized = sorted(self.json_responses, key=lambda i: (i["category"] == "other", i["url"]))
responses = sorted(self.json_responses, key=lambda i: (i["category"] == "other", i["url"]))
return {
"requests": self.requests,
"json_responses": self.json_responses,
"prioritized_json_responses": prioritized,
"json_responses": responses,
"capture_limits": {
"same_origin_only": self.settings.gentle.capture_same_origin_only,
"max_requests": self.settings.gentle.max_requests,
"max_json_responses": self.settings.gentle.max_json_responses,
"same_origin_only": self.settings.capture.capture_same_origin_only,
"max_requests": self.settings.capture.max_requests,
"max_json_responses": self.settings.capture.max_json_responses,
},
}

View File

@@ -10,11 +10,9 @@ class HumanPacer:
"""Random паузы между действиями."""
def __init__(self, settings: Settings) -> None:
# Инкапсулирует все задержки между действиями браузера.
self.settings = settings
def pause(self, min_s: float, max_s: float) -> None:
# Базовая случайная пауза в заданном диапазоне.
if self.settings.pace.enabled:
time.sleep(random.uniform(min_s, max_s))
@@ -37,13 +35,12 @@ class HumanPacer:
self.pause(self.settings.pace.after_page_change_min_s, self.settings.pace.after_page_change_max_s)
def move_mouse_to(self, page: Page, locator: Locator) -> None:
# Небольшое движение мыши к элементу перед кликом.
try:
box = locator.bounding_box()
except Exception:
box = None
if not box:
return
x = box["x"] + min(box["width"] * 0.6, max(5, box["width"] * random.uniform(0.2, 0.8)))
y = box["y"] + min(box["height"] * 0.6, max(5, box["height"] * random.uniform(0.2, 0.8)))
x = box["x"] + box["width"] * random.uniform(0.2, 0.8)
y = box["y"] + box["height"] * random.uniform(0.2, 0.8)
page.mouse.move(x, y, steps=random.randint(8, 18))

View File

@@ -7,78 +7,41 @@ from .scraper import IAAIScraper
def build_parser() -> argparse.ArgumentParser:
# Описание CLI-команд и их аргументов.
parser = argparse.ArgumentParser(description="Public IAAI scraper")
parser = argparse.ArgumentParser(description="IAAI scraper CLI")
parser.add_argument("--headless", choices=["true", "false"], default=None, help="Override headless mode")
parser.add_argument("--debug", action="store_true", help="Enable DEBUG logging")
subparsers = parser.add_subparsers(dest="command", required=True)
default_output_dir = Path("artifacts/json")
init_db_parser = subparsers.add_parser("init-db", help="Create local DB tables")
init_db_parser.add_argument("--output", default=str(default_output_dir / "iaai_db_init.json"), help="Path to output JSON")
subparsers.add_parser("init-db", help="Create DB tables")
listing_parser = subparsers.add_parser("collect-listing", help="Collect vehicle URLs from Vehiclelisting/Cars")
listing_parser.add_argument("--make", default=None, help="Optional make filter")
listing_parser.add_argument("--model", default=None, help="Optional model filter")
listing_parser.add_argument("--output", default=str(default_output_dir / "iaai_listing_links.json"), help="Path to output JSON")
listing_parser = subparsers.add_parser("collect-listing", help="Collect vehicle URLs from listing page")
listing_parser.add_argument("--make", default=None)
listing_parser.add_argument("--model", default=None)
listing_parser.add_argument("--output", default=str(default_output_dir / "iaai_listing_links.json"))
open_parser = subparsers.add_parser(
"open-vehicle",
help="Open a vehicle page in gentle mode and save only DOM-based hints",
)
open_parser.add_argument("vehicle_url", help="IAAI vehicle detail URL")
open_parser.add_argument("--output", default=str(default_output_dir / "iaai_vehicle_opened.json"), help="Path to output JSON")
scrape_parser = subparsers.add_parser("scrape-vehicle", help="Scrape a vehicle detail page")
scrape_parser.add_argument("vehicle_url")
scrape_parser.add_argument("--output", default=str(default_output_dir / "iaai_vehicle_detail.json"))
scrape_parser = subparsers.add_parser(
"scrape-vehicle",
help="Open a vehicle page and capture a limited set of likely useful JSON responses",
)
scrape_parser.add_argument("vehicle_url", help="IAAI vehicle detail URL")
scrape_parser.add_argument("--output", default=str(default_output_dir / "iaai_vehicle_detail.json"), help="Path to output JSON")
sync_vehicle_parser = subparsers.add_parser("sync-vehicle", help="Scrape + upsert one vehicle")
sync_vehicle_parser.add_argument("vehicle_url")
sync_vehicle_parser.add_argument("--lane", default="iaai")
sync_vehicle_parser.add_argument("--output", default=str(default_output_dir / "iaai_sync_vehicle.json"))
export_parser = subparsers.add_parser(
"export-db-json",
help="Scrape a vehicle page and save only the DB-ready car record JSON",
)
export_parser.add_argument("vehicle_url", help="IAAI vehicle detail URL")
export_parser.add_argument("--output", default=str(default_output_dir / "iaai_vehicle_db_record.json"), help="Path to output JSON")
sync_vehicle_parser = subparsers.add_parser("sync-vehicle", help="Scrape one vehicle and upsert it into the DB")
sync_vehicle_parser.add_argument("vehicle_url", help="IAAI vehicle detail URL")
sync_vehicle_parser.add_argument("--lane", default="iaai", help="Logical lane name for sync_runs")
sync_vehicle_parser.add_argument("--output", default=str(default_output_dir / "iaai_sync_vehicle.json"), help="Path to output JSON")
sync_listing_parser = subparsers.add_parser(
"sync-listing",
help="Collect vehicle URLs from the Cars listing and sync them sequentially",
)
sync_listing_parser.add_argument("--make", default=None, help="Optional make filter")
sync_listing_parser.add_argument("--model", default=None, help="Optional model filter")
sync_listing_parser.add_argument("--lane", default="iaai_cars", help="Logical lane name for sync_runs")
sync_listing_parser.add_argument("--limit", type=int, default=None, help="Limit number of vehicles to sync")
sync_listing_parser.add_argument(
"--only-new",
choices=["true", "false"],
default=None,
help="Process only new vehicles (default from IAAI_SYNC_ONLY_NEW)",
)
sync_listing_parser.add_argument("--output", default=str(default_output_dir / "iaai_sync_listing.json"), help="Path to output JSON")
daemon_parser = subparsers.add_parser(
"run-daemon",
help="Run the scraper in a loop, syncing vehicles every N minutes (default 60)",
)
daemon_parser.add_argument(
"--interval", type=int, default=None,
help="Override interval in minutes (default from IAAI_SCHEDULER_INTERVAL_MINUTES or 60)",
)
sync_listing_parser = subparsers.add_parser("sync-listing", help="Collect listing + sync all vehicles")
sync_listing_parser.add_argument("--make", default=None)
sync_listing_parser.add_argument("--model", default=None)
sync_listing_parser.add_argument("--lane", default="iaai_cars")
sync_listing_parser.add_argument("--limit", type=int, default=None)
sync_listing_parser.add_argument("--only-new", choices=["true", "false"], default=None)
sync_listing_parser.add_argument("--output", default=str(default_output_dir / "iaai_sync_listing.json"))
return parser
def main() -> None:
# Собираем runtime overrides только при необходимости.
parser = build_parser()
args = parser.parse_args()
@@ -90,29 +53,15 @@ def main() -> None:
if args.debug:
runtime_settings.log_level = "DEBUG"
if args.command == "run-daemon":
# daemon: бесконечный цикл
runtime_settings = runtime_settings or Settings()
if args.interval is not None:
runtime_settings.scheduler_interval_minutes = args.interval
with IAAIScraper(runtime_settings) as scraper:
scraper.persistence.create_tables()
scraper.run_scheduled()
return
# одноразовый запуск
with IAAIScraper(runtime_settings) as scraper:
# Каждая команда сводится к одному методу скрапера.
if args.command == "init-db":
data = scraper.init_db()
print(f"DB initialized: {data}")
return
elif args.command == "collect-listing":
data = scraper.collect_listing(make=args.make, model=args.model)
elif args.command == "open-vehicle":
data = scraper.open_vehicle_page(args.vehicle_url)
elif args.command == "scrape-vehicle":
data = scraper.scrape_vehicle_detail(args.vehicle_url)
elif args.command == "export-db-json":
data = scraper.scrape_vehicle_detail(args.vehicle_url).get("db_record", {})
elif args.command == "sync-vehicle":
data = scraper.sync_vehicle(args.vehicle_url, lane=args.lane)
else:
@@ -126,7 +75,7 @@ def main() -> None:
)
save_to_json(data, Path(args.output))
print(f"Saved result to {Path(args.output).resolve()}")
print(f"Saved to {Path(args.output).resolve()}")
if __name__ == "__main__":

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@@ -1,4 +1 @@
from .config import * # noqa: F401,F403
from .logs import * # noqa: F401,F403
from .retry import * # noqa: F401,F403
from .utils import * # noqa: F401,F403
__all__: list[str] = []

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@@ -1,6 +1,5 @@
import os
from dataclasses import dataclass, field
from pathlib import Path
from dotenv import load_dotenv
@@ -9,7 +8,7 @@ load_dotenv()
@dataclass(slots=True)
class FingerprintConfig:
# Настройки браузерного отпечатка.
# Браузерный отпечаток.
user_agent: str = (
"Mozilla/5.0 (Windows NT 10.0; Win64; x64) "
"AppleWebKit/537.36 (KHTML, like Gecko) "
@@ -32,20 +31,16 @@ class FingerprintConfig:
@dataclass(slots=True)
class GentleModeConfig:
# Мягкий режим загрузки страницы и capture.
enabled: bool = os.getenv("IAAI_GENTLE_MODE", "true").strip().lower() in {"1", "true", "yes", "on"}
class CaptureConfig:
# Параметры capture.
capture_same_origin_only: bool = os.getenv("IAAI_CAPTURE_SAME_ORIGIN_ONLY", "true").strip().lower() in {"1", "true", "yes", "on"}
max_requests: int = int(os.getenv("IAAI_MAX_CAPTURED_REQUESTS", "40"))
max_json_responses: int = int(os.getenv("IAAI_MAX_CAPTURED_JSON_RESPONSES", "30"))
warm_scroll_rounds: int = int(os.getenv("IAAI_WARM_SCROLL_ROUNDS", "1"))
scroll_pause_ms: int = int(os.getenv("IAAI_SCROLL_PAUSE_MS", "900"))
post_open_idle_ms: int = int(os.getenv("IAAI_POST_OPEN_IDLE_MS", "3500"))
@dataclass(slots=True)
class HumanPaceConfig:
# Паузы между действиями для более естественного поведения.
# Паузы между действиями.
enabled: bool = os.getenv("IAAI_HUMAN_PACE_ENABLED", "true").strip().lower() in {"1", "true", "yes", "on"}
after_listing_open_min_s: float = float(os.getenv("IAAI_AFTER_LISTING_OPEN_MIN_S", "2.5"))
after_listing_open_max_s: float = float(os.getenv("IAAI_AFTER_LISTING_OPEN_MAX_S", "4.5"))
@@ -63,7 +58,7 @@ class HumanPaceConfig:
@dataclass(slots=True)
class ListingConfig:
# Ограничения и режим обхода листинга.
# Лимиты листинга.
cars_url: str = os.getenv("IAAI_CARS_LISTING_URL", "https://www.iaai.com/Vehiclelisting/Cars")
max_pages_per_run: int = int(os.getenv("IAAI_MAX_PAGES_PER_RUN", "5"))
max_vehicles_per_run: int = int(os.getenv("IAAI_MAX_VEHICLES_PER_RUN", "100"))
@@ -74,32 +69,43 @@ class ListingConfig:
@dataclass(slots=True)
class DatabaseConfig:
# Параметры подключения к БД.
url: str = os.getenv("IAAI_DATABASE_URL", "sqlite:///iaai_scraper.db")
# Подключение к БД.
url: str = os.getenv("IAAI_DATABASE_URL", "postgresql+psycopg2://iaai:iaai@localhost:5432/iaai_scraper")
echo: bool = os.getenv("IAAI_DATABASE_ECHO", "false").strip().lower() in {"1", "true", "yes", "on"}
pool_size: int = int(os.getenv("IAAI_DATABASE_POOL_SIZE", "5"))
max_overflow: int = int(os.getenv("IAAI_DATABASE_MAX_OVERFLOW", "10"))
@dataclass(slots=True)
class RedisConfig:
# Подключение к Redis.
url: str = os.getenv("IAAI_REDIS_URL", "redis://localhost:6379/0")
@dataclass(slots=True)
class CeleryConfig:
# Настройки Celery.
broker_url: str = os.getenv("CELERY_BROKER_URL", "") or ""
result_backend: str = os.getenv("CELERY_RESULT_BACKEND", "") or ""
task_soft_time_limit: int = int(os.getenv("CELERY_TASK_SOFT_TIME_LIMIT", "600"))
task_time_limit: int = int(os.getenv("CELERY_TASK_TIME_LIMIT", "900"))
worker_concurrency: int = int(os.getenv("CELERY_WORKER_CONCURRENCY", "1"))
beat_sync_interval_minutes: int = int(os.getenv("CELERY_BEAT_SYNC_INTERVAL_MINUTES", "60"))
@dataclass(slots=True)
class ProxyConfig:
"""Proxy settings for Playwright browser.
Supports HTTP, HTTPS and SOCKS5 proxies.
Format: ``protocol://[user:password@]host:port``
Examples:
- ``http://proxy.example.com:8080``
- ``socks5://user:pass@proxy.example.com:1080``
"""
server: str | None = os.getenv("IAAI_PROXY_SERVER") or None
username: str | None = os.getenv("IAAI_PROXY_USERNAME") or None
password: str | None = os.getenv("IAAI_PROXY_PASSWORD") or None
# Настройки прокси.
server: str | None = (os.getenv("IAAI_PROXY_SERVER") or "").strip() or None
username: str | None = (os.getenv("IAAI_PROXY_USERNAME") or "").strip() or None
password: str | None = (os.getenv("IAAI_PROXY_PASSWORD") or "").strip() or None
@property
def enabled(self) -> bool:
return bool(self.server)
def to_playwright_dict(self) -> dict[str, str] | None:
"""Return a dict suitable for Playwright ``proxy=`` kwarg, or *None*."""
# Формат для Playwright.
if not self.server:
return None
result: dict[str, str] = {"server": self.server}
@@ -112,7 +118,7 @@ class ProxyConfig:
@dataclass(slots=True)
class Settings:
# Единая точка всех runtime-настроек приложения.
# Общие настройки.
home_url: str = "https://www.iaai.com/"
default_timeout_ms: int = int(os.getenv("IAAI_TIMEOUT_MS", "45000"))
network_settle_ms: int = int(os.getenv("IAAI_NETWORK_SETTLE_MS", "800"))
@@ -121,19 +127,21 @@ class Settings:
retry_backoff_multiplier: float = float(os.getenv("IAAI_RETRY_BACKOFF_MULTIPLIER", "2.0"))
retry_jitter_seconds: float = float(os.getenv("IAAI_RETRY_JITTER_SECONDS", "0.25"))
headless: bool = os.getenv("IAAI_HEADLESS", "true").strip().lower() in {"1", "true", "yes", "on"}
raw_output_json: str | None = os.getenv("IAAI_RAW_OUTPUT_JSON") or None
log_level: str = os.getenv("IAAI_LOG_LEVEL", "INFO")
log_file: str | None = os.getenv("IAAI_LOG_FILE") or None
enable_trace_id_logs: bool = os.getenv("IAAI_ENABLE_TRACE_ID_LOGS", "true").strip().lower() in {"1", "true", "yes", "on"}
scheduler_interval_minutes: int = int(os.getenv("IAAI_SCHEDULER_INTERVAL_MINUTES", "60"))
sync_only_new: bool = os.getenv("IAAI_SYNC_ONLY_NEW", "true").strip().lower() in {"1", "true", "yes", "on"}
raw_output_json: str | None = os.getenv("IAAI_RAW_OUTPUT_JSON") or None
scheduler_interval_minutes: int = int(os.getenv("IAAI_SCHEDULER_INTERVAL_MINUTES", "60"))
fingerprint: FingerprintConfig = field(default_factory=FingerprintConfig)
gentle: GentleModeConfig = field(default_factory=GentleModeConfig)
capture: CaptureConfig = field(default_factory=CaptureConfig)
pace: HumanPaceConfig = field(default_factory=HumanPaceConfig)
listing: ListingConfig = field(default_factory=ListingConfig)
database: DatabaseConfig = field(default_factory=DatabaseConfig)
redis: RedisConfig = field(default_factory=RedisConfig)
celery: CeleryConfig = field(default_factory=CeleryConfig)
proxy: ProxyConfig = field(default_factory=ProxyConfig)
# Глобальные настройки по умолчанию.
# Настройки по умолчанию.
settings = Settings()

View File

@@ -3,24 +3,20 @@ import sys
from contextvars import ContextVar
# Trace id хранится в контексте текущей операции.
TRACE_ID: ContextVar[str] = ContextVar("trace_id", default="-")
class TraceIdFilter(logging.Filter):
# Подмешиваем trace_id в каждую log record.
def filter(self, record: logging.LogRecord) -> bool:
record.trace_id = TRACE_ID.get()
return True
def set_trace_id(trace_id: str) -> None:
# Обновляем trace_id для текущего потока выполнения.
TRACE_ID.set(trace_id)
def setup_logging(level: str = "INFO", log_file: str | None = None) -> None:
# Базовая настройка консольного и файлового логирования.
handlers: list[logging.Handler] = [logging.StreamHandler(sys.stdout)]
if log_file:
handlers.append(logging.FileHandler(log_file, encoding="utf-8"))

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@@ -9,7 +9,6 @@ from playwright.sync_api import Error, TimeoutError as PlaywrightTimeoutError
logger = logging.getLogger("iaai_scraper.retry")
# Ошибки, которые считаем временными и пригодными для повтора.
RETRYABLE_EXCEPTIONS = (
PlaywrightTimeoutError,
Error,
@@ -25,7 +24,6 @@ def retryable(
backoff_multiplier: float = 2.0,
jitter_seconds: float = 0.0,
) -> Callable[[Callable[..., Any]], Callable[..., Any]]:
# Универсальный retry с backoff и небольшим случайным jitter.
def decorator(func: Callable[..., Any]) -> Callable[..., Any]:
@wraps(func)
def wrapper(*args: Any, **kwargs: Any) -> Any:

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@@ -31,7 +31,7 @@ def first_non_empty(values: Iterable[Any]) -> Any | None:
return None
# VIN, lot, price regex
# Regex для VIN, lot, price.
VIN_RE = re.compile(r"\b([A-HJ-NPR-Z0-9]{17})\b", re.IGNORECASE)
LOT_RE = re.compile(r"\b(\d{7,10})\b")
PRICE_RE = re.compile(r"\$\s?([\d,]+(?:\.\d{1,2})?)")

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@@ -1,2 +1 @@
from .mapper import * # noqa: F401,F403
from .parser import * # noqa: F401,F403
__all__: list[str] = []

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@@ -48,7 +48,7 @@ class CarMapper:
NO_DAMAGE_MARKERS = {"normal wear", "normal wear & tear", "normal wear and tear", "n/a", "na", "none", "no damage", "minor dents/scratches"}
def map_to_car_record(self, vehicle_url: str, vehicle_summary: dict[str, Any], payload_insights: dict[str, Any]) -> CarRecord:
# Собираем нормализованную DB-модель из summary и payload insights.
# Собираем нормализованную DB-модель.
vehicle_summary = vehicle_summary or {}
payload_insights = payload_insights or {}
notes: list[str] = []
@@ -119,7 +119,7 @@ class CarMapper:
notes.append("No image URLs were found in the captured payloads.")
raw_attributes = {
# Здесь сохраняем полезный сырой контекст без жёсткой нормализации.
# Сохраняем полезный сырой контекст.
"vin": vehicle_summary.get("vin"),
"lot_number": first_non_empty([core.get("lot_number"), vehicle_summary.get("lot_number")]),
"trim": first_non_empty([core.get("trim"), vehicle_summary.get("trim")]),
@@ -150,7 +150,7 @@ class CarMapper:
}
content_hash = hashlib.sha256(json.dumps({
# Хеш нужен для пропуска записей без фактических изменений.
# Хеш для пропуска записей без изменений.
"brand": brand, "model": model, "year": year, "price": price, "mileage": mileage,
"color": color, "drive": drive, "gearbox": gearbox, "body_type": body_type,
"engine_volume": engine_volume, "is_damaged": is_damaged, "is_sold": is_sold,
@@ -188,7 +188,7 @@ class CarMapper:
@classmethod
def _to_money_int(cls, value: Any) -> int | None:
# Нормализация «грязной» стоимости: "$4,500", "4 500 USD", "4.500,00 €", "USD 4,500 - 5,200".
# Нормализация стоимости из разных форматов.
if value is None:
return None
if isinstance(value, bool):
@@ -212,14 +212,14 @@ class CarMapper:
for number in numbers:
clean = number.replace(" ", "")
if "," in clean and "." in clean:
# Поддержка и 1,234.56, и 1.234,56.
# Поддержка 1,234.56 и 1.234,56.
if clean.rfind(",") > clean.rfind("."):
clean = clean.replace(".", "").replace(",", ".")
else:
clean = clean.replace(",", "")
elif "," in clean:
parts = clean.split(",")
# Десятичный формат 123,45 -> 123.45 иначе считаем разделителем тысяч.
# 123,45 -> 123.45, иначе разделитель тысяч.
if len(parts[-1]) in {1, 2} and len(parts) == 2:
clean = clean.replace(",", ".")
else:
@@ -257,7 +257,7 @@ class CarMapper:
return None
def _to_engine_cc(self, value: Any) -> int | None:
# Поддерживаем и литры, и уже готовые cc.
# Поддержка литров и cc.
text = str(value).lower().strip() if value is not None else ""
if not text:
return None
@@ -319,7 +319,7 @@ class CarMapper:
empty_default: str | None,
fallback: str | None,
) -> str | None:
# Общий helper для enum-нормализации по точному или частичному совпадению.
# Общий helper для enum-нормализации.
text = self._as_str(value).lower()
if not text:
return empty_default
@@ -354,7 +354,7 @@ class CarMapper:
return any(token in self._as_str(auction.get("sale_status")).lower() for token in ["sold", "closed", "ended"])
def _build_images(self, urls: list[Any]) -> list[ImageRecord]:
# Для imageKeys оставляем ссылку с наибольшим размером.
# Для imageKeys берем самый большой размер.
best_by_key: dict[str, str] = {}
key_order: list[str] = []
non_keyed: list[str] = []
@@ -395,7 +395,7 @@ class CarMapper:
return url
def _build_origin_id(self, vehicle_url: str, vehicle_summary: dict[str, Any], core: dict[str, Any]) -> str:
# Предпочитаем lot_number, затем vin, затем хвост URL.
# Берем lot_number, затем vin, затем хвост URL.
for value in [core.get("lot_number"), vehicle_summary.get("lot_number"), vehicle_summary.get("vin")]:
text = self._as_str(value)
if text:
@@ -410,6 +410,3 @@ class CarMapper:
return re.sub(r"[^a-z0-9]+", "-", value.lower()).strip("-") or "car"
class IAAICarMapper(CarMapper):
"""Совместимое имя маппера."""

View File

@@ -74,7 +74,6 @@ class VehicleParser:
}
def _parse_dom_key_value_pairs(self, dom_text: str) -> dict[str, str]:
# Вытаскиваем пары label -> value из плоского текста страницы.
result: dict[str, str] = {}
if not dom_text:
return result
@@ -94,7 +93,6 @@ class VehicleParser:
return result
def _parse_title_for_year_make_model(self, page_title: str, dom_text: str) -> dict[str, str | None]:
# Title используется как запасной источник year/make/model.
result: dict[str, str | None] = {"year": None, "make": None, "model": None}
title_match = re.match(r"(\d{4})\s+(\S+)\s+(.+?)(?:\s+for\s+)", page_title or "")
if title_match:
@@ -110,7 +108,6 @@ class VehicleParser:
return result
def normalize(self, vehicle_url: str, page_html: str, dom_text: str, network_dump: dict[str, Any]) -> dict[str, Any]:
# Собираем итоговую структуру из DOM, title, embedded JSON и network payloads.
page_html = page_html or ""
dom_text = dom_text or ""
network_dump = network_dump or {}
@@ -125,7 +122,6 @@ class VehicleParser:
summary: dict[str, Any] = {"source_url": vehicle_url}
for field, candidate_keys in self.SUMMARY_KEY_MAP.items():
# Для каждого поля собираем кандидатов из всех доступных источников.
values: list[Any] = []
for payload in payloads:
values.extend(deep_find_key(payload, candidate_keys))
@@ -160,7 +156,6 @@ class VehicleParser:
summary["current_bid"] = prices[1]
embedded = self._extract_embedded_json(page_html)
# Embedded JSON добирает поля, которых не было в DOM и XHR.
for item in embedded:
p = item.get("payload")
if isinstance(p, (dict, list)):
@@ -180,7 +175,6 @@ class VehicleParser:
}
def _build_payload_insights(self, summary: dict[str, Any], responses: list[dict[str, Any]], payloads: list[Any], vehicle_url: str = "") -> dict[str, Any]:
# Группируем сырой результат по смысловым блокам для маппера.
image_urls = self._extract_image_urls(payloads, "", vehicle_url)
return {
"vehicle_core": {
@@ -223,7 +217,6 @@ class VehicleParser:
}
def _build_source_endpoints(self, responses: list[dict[str, Any]]) -> dict[str, list[str]]:
# Раскладываем observed endpoints по категориям.
mapping = {"vehicle": [], "pricing": [], "bids": [], "damage": [], "auction": [], "images": []}
for item in responses:
url = item.get("url", "")
@@ -242,7 +235,6 @@ class VehicleParser:
return {key: list(dict.fromkeys(urls)) for key, urls in mapping.items()}
def _build_access_notes(self, summary: dict[str, Any], responses: list[dict[str, Any]]) -> dict[str, Any]:
# Короткие признаки того, что страница была доступна нормально.
endpoints = [item.get("url", "") for item in responses]
return {
"vin_visible": bool(summary.get("vin")),
@@ -289,7 +281,6 @@ class VehicleParser:
@staticmethod
def _extract_embedded_json(html: str) -> list[dict[str, Any]]:
# Ищем inline JSON в script-тегах.
scripts = re.findall(r"<script[^>]*>(.*?)</script>", html or "", flags=re.DOTALL | re.IGNORECASE)
extracted: list[dict[str, Any]] = []
for script_text in scripts:
@@ -304,7 +295,6 @@ class VehicleParser:
@staticmethod
def _extract_image_urls(payloads: list[Any], html: str, vehicle_url: str = "") -> list[str]:
# Собираем и дедуплицируем ссылки на изображения из JSON и HTML.
vehicle_key = ""
key_match = re.search(r"VehicleDetail/(\d+)", vehicle_url or "")
if key_match:
@@ -354,7 +344,6 @@ class VehicleParser:
seen_flat.add(cleaned)
flat.append(cleaned)
filtered: list[str] = []
# Отбрасываем служебные и заведомо нецелевые ссылки.
for url in flat:
lowered = url.lower()
if any(pat in lowered for pat in {"dimensions", "threesixty", "360view", ".js", ".css", ".svg", "/home/", "iframeview"}):
@@ -366,7 +355,6 @@ class VehicleParser:
@staticmethod
def _dom_hints(text: str) -> dict[str, Any]:
# Быстрые текстовые признаки полезных данных или anti-bot страницы.
lowered = (text or "").lower()
return {
"has_buy_now_text": "buy now" in lowered,

View File

@@ -3,8 +3,6 @@ import re
import signal
import time
import uuid
from pathlib import Path
from typing import Any
from playwright.sync_api import Error as PlaywrightError
from playwright.sync_api import BrowserContext, Page, sync_playwright
@@ -18,7 +16,7 @@ from .core.utils import save_to_json
from .parsing.mapper import CarMapper
from .parsing.parser import VehicleParser
from .storage.db import PersistenceService
from .storage.listing import ListingCollector
from .browser.listing import ListingCollector
from .storage.schemas import CarRecord
logger = logging.getLogger("iaai_scraper.scraper")
@@ -147,7 +145,6 @@ class IAAIScraper:
page.wait_for_load_state("networkidle", timeout=15000)
except PlaywrightTimeoutError:
pass
self._warm_page(page)
self.pacer.after_vehicle_open()
html = page.content()
@@ -159,7 +156,7 @@ class IAAIScraper:
return {
"trace_id": trace_id,
"source_url": vehicle_url,
"opened_in_gentle_mode": True,
"opened_in_light_mode": True,
"fetched_at_epoch": int(time.time()),
"elapsed_seconds": round(time.perf_counter() - started_at, 3),
**parsed,
@@ -461,17 +458,3 @@ class IAAIScraper:
slept += chunk
logger.info("Scheduler stopped gracefully after %d cycles.", cycle)
# helpers
def _warm_page(self, page: Page) -> None:
"""Scroll для lazy-load."""
# Небольшой прогрев страницы для ленивых блоков и картинок.
rounds = max(0, self.settings.gentle.warm_scroll_rounds)
pause_seconds = max(0.1, self.settings.gentle.scroll_pause_ms / 1000)
for _ in range(rounds):
page.mouse.wheel(0, 1600)
time.sleep(pause_seconds)
if rounds:
page.mouse.wheel(0, -3000)
time.sleep(min(0.5, pause_seconds))

View File

@@ -8,44 +8,16 @@ from sqlalchemy import create_engine, or_, select
from sqlalchemy.orm import Session, sessionmaker
from ..core.config import Settings
from .models import Base, Car, Image, SyncRun
from .models import Base, Car, Image, ScrapeTask, SyncRun
from .schemas import CarRecord
logger = logging.getLogger("iaai_scraper.db")
# Поля Car, которые приходят из CarRecord (без id, images, relationship).
CAR_DB_FIELDS = {
"parser_id",
"brand",
"model",
"year",
"price",
"currency",
"mileage",
"country",
"is_sold",
"color",
"drive",
"gearbox",
"steering_wheel",
"body_type",
"engine_volume",
"selling_type",
"one_owner",
"new_car",
"is_hidden",
"origin",
"origin_url",
"origin_id",
"is_damaged",
"evaluation",
"non_smoking",
"rental",
"repair_history",
"slug",
"last_seen_at",
"content_hash",
"raw_attributes",
col.key for col in Car.__table__.columns
if col.key not in ("id",)
}
@@ -54,11 +26,23 @@ class PersistenceService:
def __init__(self, settings: Settings) -> None:
# Инициализация engine и фабрики сессий.
self.settings = settings
self.engine = create_engine(settings.database.url, echo=settings.database.echo, future=True)
engine_kwargs = {
"echo": settings.database.echo,
"future": True,
}
# Пул только для PostgreSQL.
if "postgresql" in settings.database.url:
engine_kwargs["pool_size"] = settings.database.pool_size
engine_kwargs["max_overflow"] = settings.database.max_overflow
self.engine = create_engine(settings.database.url, **engine_kwargs)
self.session_factory = sessionmaker(bind=self.engine, expire_on_commit=False, future=True)
def create_tables(self) -> None:
Base.metadata.create_all(self.engine)
try:
Base.metadata.create_all(self.engine)
except Exception:
# Alembic уже создал таблицы/ENUM — пропускаем.
logger.debug("create_tables skipped (schema already exists)")
@contextmanager
def session_scope(self) -> Iterator[Session]:
@@ -181,3 +165,52 @@ class PersistenceService:
self._add_images(session, int(car.id), images)
session.flush()
return {"car_id": int(car.id), "images_upserted": len(images), "action": action}
# --- ScrapeTask.
def create_scrape_task(self, celery_task_id: str, task_type: str, vehicle_url: str | None = None) -> int:
"""Создаёт запись задачи Celery."""
with self.session_scope() as session:
task = ScrapeTask(
celery_task_id=celery_task_id,
task_type=task_type,
vehicle_url=vehicle_url,
status="pending",
)
session.add(task)
session.flush()
return int(task.id)
def update_scrape_task(self, celery_task_id: str, **kwargs) -> None:
"""Обновляет поля задачи по celery_task_id."""
with self.session_scope() as session:
task = session.execute(
select(ScrapeTask).where(ScrapeTask.celery_task_id == celery_task_id)
).scalars().first()
if task is None:
return
for key, value in kwargs.items():
if hasattr(task, key):
setattr(task, key, value)
session.flush()
def get_scrape_task(self, celery_task_id: str) -> dict | None:
"""Возвращает информацию о задаче."""
with self.session_scope() as session:
task = session.execute(
select(ScrapeTask).where(ScrapeTask.celery_task_id == celery_task_id)
).scalars().first()
if task is None:
return None
return {
"id": task.id,
"celery_task_id": task.celery_task_id,
"task_type": task.task_type,
"status": task.status,
"vehicle_url": task.vehicle_url,
"created_at": task.created_at.isoformat() if task.created_at else None,
"started_at": task.started_at.isoformat() if task.started_at else None,
"finished_at": task.finished_at.isoformat() if task.finished_at else None,
"result_summary": task.result_summary,
"error_message": task.error_message,
}

View File

@@ -1,8 +1,8 @@
CURRENCY_ENUM_VALUES = ("JPY", "USD", "EUR", "RUB", "KRW", "AED", "GBP", "CAD")
DRIVE_ENUM_VALUES = ("FWD", "RWD", "TWO_WD", "FOUR_WD", "2WD", "4WD", "NA")
DRIVE_ENUM_VALUES = ("FWD", "RWD", "2WD", "4WD", "NA")
GEARBOX_ENUM_VALUES = ("AT", "CVT", "MT", "EV", "NA")
STEERING_WHEEL_ENUM_VALUES = ("LEFT", "RIGHT", "left", "right", "NA")
BODY_TYPE_ENUM_VALUES = ("COUPE", "SUV", "HATCHBACK", "MINIVAN", "SEDAN", "NA", "Station Wagon", "Pickup", "Truck", "Open", "RV", "Other", "STATION_WAGON", "PICKUP", "TRUCK", "OPEN", "OTHER")
STEERING_WHEEL_ENUM_VALUES = ("LEFT", "RIGHT", "NA")
BODY_TYPE_ENUM_VALUES = ("COUPE", "SUV", "HATCHBACK", "MINIVAN", "SEDAN", "STATION_WAGON", "PICKUP", "TRUCK", "OPEN", "RV", "OTHER", "NA")
COUNTRY_ENUM_VALUES = ("JP", "KR", "US", "CA", "NA")
ORIGIN_ENUM_VALUES = ("TAU", "CARSENSOR", "HANAMARU", "ENCAR", "KURUMA_TRADER", "carsensor", "encar", "kuruma_trader", "asnet", "kababa", "ACV", "COPART", "copart", "NA", "ASNET", "KABABA", "IAAI")
SELLING_TYPE_ENUM_VALUES = ("STOCK", "AUCTION", "TENDER", "stock", "auction", "tender", "NA")
ORIGIN_ENUM_VALUES = ("TAU", "CARSENSOR", "HANAMARU", "ENCAR", "KURUMA_TRADER", "ASNET", "KABABA", "ACV", "COPART", "IAAI", "NA")
SELLING_TYPE_ENUM_VALUES = ("STOCK", "AUCTION", "TENDER", "NA")

View File

@@ -1,154 +0,0 @@
import logging
import re
from dataclasses import asdict, dataclass, field
from urllib.parse import urljoin
from playwright.sync_api import Page
from ..browser.pace import HumanPacer
from ..core.config import Settings
from ..core.utils import first_non_empty
logger = logging.getLogger("iaai_scraper.listing")
VEHICLE_HREF_RE = re.compile(r"/VehicleDetail/\d+(?:~[A-Z]{2})?", re.IGNORECASE)
@dataclass(slots=True)
class ListingVehicleLink:
# Ссылка на одну карточку из листинга.
href: str
title: str = ""
lot_number: str | None = None
@dataclass(slots=True)
class ListingPageResult:
# Результат сбора ссылок с одной страницы листинга.
source_url: str
page_number: int
vehicle_links: list[ListingVehicleLink] = field(default_factory=list)
pagination_available: bool = False
next_page_detected: bool = False
class ListingCollector:
def __init__(self, settings: Settings, pacer: HumanPacer) -> None:
# Сборщик ссылок из публичного листинга IAAI.
self.settings = settings
self.pacer = pacer
def open_cars_listing(self, page: Page) -> None:
# Открываем листинг и ждём появления ссылок на карточки.
logger.info("Opening cars listing page: %s", self.settings.listing.cars_url)
page.goto(self.settings.listing.cars_url, wait_until="domcontentloaded")
try:
page.wait_for_load_state("networkidle", timeout=15000)
except Exception:
logger.debug("networkidle timeout on listing page, continuing with current state")
try:
page.wait_for_selector("a[href*='/VehicleDetail/']", timeout=20000)
except Exception:
logger.warning("Vehicle links did not appear within timeout; page may not have rendered fully")
self.pacer.after_listing_open()
def apply_filters(self, page: Page, make: str | None = None, model: str | None = None) -> dict[str, str | None]:
# Пытаемся применить make/model фильтры через UI.
applied = {"make": None, "model": None}
if make and self._try_fill_filter_input(page, ["input[placeholder*='Make']", "input[aria-label*='Make']"], make):
applied["make"] = make
self.pacer.after_filter_action()
if model and self._try_fill_filter_input(page, ["input[placeholder*='Model']", "input[aria-label*='Model']"], model):
applied["model"] = model
self.pacer.after_filter_action()
return applied
def collect_current_page(self, page: Page, page_number: int = 1) -> ListingPageResult:
# Собираем ссылки только с текущей страницы.
anchors = page.locator("a[href*='/VehicleDetail/']")
total = min(anchors.count(), self.settings.listing.page_link_limit)
links: list[ListingVehicleLink] = []
seen: set[str] = set()
for idx in range(total):
anchor = anchors.nth(idx)
href = anchor.get_attribute("href") or ""
match = VEHICLE_HREF_RE.search(href)
if not match:
continue
absolute = urljoin(self.settings.home_url, match.group(0))
if absolute in seen:
continue
seen.add(absolute)
title = first_non_empty([anchor.get_attribute("title"), anchor.text_content(), ""]) or ""
links.append(ListingVehicleLink(href=absolute, title=str(title).strip()))
if len(links) >= self.settings.listing.max_vehicles_per_run:
break
next_page_detected = self._has_next_page(page)
return ListingPageResult(source_url=page.url, page_number=page_number, vehicle_links=links, pagination_available=next_page_detected, next_page_detected=next_page_detected)
def go_to_next_page(self, page: Page) -> bool:
# Переход на следующую страницу, если кнопка доступна.
selectors = ["a[aria-label*='Next']", "button[aria-label*='Next']", "a.pagination-next", "button.pagination-next", "a:has-text('Next')", "button:has-text('Next')"]
for selector in selectors:
locator = page.locator(selector).first
if locator.count() == 0:
continue
disabled = (locator.get_attribute("disabled") or "").lower()
aria_disabled = (locator.get_attribute("aria-disabled") or "").lower()
classes = (locator.get_attribute("class") or "").lower()
if disabled or aria_disabled == "true" or "disabled" in classes:
continue
self.pacer.move_mouse_to(page, locator)
locator.click()
try:
page.wait_for_load_state("networkidle", timeout=15000)
except Exception:
pass
self.pacer.after_page_change()
return True
return False
def collect_listing_links(self, page: Page, *, make: str | None = None, model: str | None = None) -> dict[str, object]:
# Последовательно собираем ссылки с учётом лимитов и пагинации.
self.open_cars_listing(page)
applied_filters = self.apply_filters(page, make=make, model=model)
pages: list[dict[str, object]] = []
all_links: list[str] = []
for page_number in range(1, max(1, self.settings.listing.max_pages_per_run) + 1):
page_result = self.collect_current_page(page, page_number=page_number)
pages.append({"page_number": page_result.page_number, "source_url": page_result.source_url, "links_found": len(page_result.vehicle_links), "vehicle_links": [asdict(item) for item in page_result.vehicle_links], "next_page_detected": page_result.next_page_detected})
for item in page_result.vehicle_links:
if item.href not in all_links:
all_links.append(item.href)
if len(all_links) >= self.settings.listing.max_vehicles_per_run:
break
if len(all_links) >= self.settings.listing.max_vehicles_per_run or self.settings.listing.collect_current_page_only or not self.settings.listing.include_pagination or not page_result.next_page_detected:
break
if not self.go_to_next_page(page):
break
return {"listing_url": self.settings.listing.cars_url, "applied_filters": applied_filters, "pages_collected": len(pages), "vehicles_collected": len(all_links), "vehicle_urls": all_links, "pages": pages, "strategy": {"sequential": True, "collect_current_page_only": self.settings.listing.collect_current_page_only, "include_pagination": self.settings.listing.include_pagination, "max_pages_per_run": self.settings.listing.max_pages_per_run, "max_vehicles_per_run": self.settings.listing.max_vehicles_per_run}}
@staticmethod
def _try_fill_filter_input(page: Page, selectors: list[str], value: str) -> bool:
# Пробуем несколько селекторов для одного и того же фильтра.
for selector in selectors:
locator = page.locator(selector).first
if locator.count() == 0:
continue
try:
locator.click(); locator.fill(value); page.keyboard.press("Enter")
try:
page.wait_for_load_state("networkidle", timeout=15000)
except Exception:
pass
return True
except Exception:
continue
return False
@staticmethod
def _has_next_page(page: Page) -> bool:
# Грубая проверка наличия кнопки next.
for selector in ["a[aria-label*='Next']", "button[aria-label*='Next']", "a.pagination-next", "button.pagination-next", "a:has-text('Next')", "button:has-text('Next')"]:
if page.locator(selector).count() > 0:
return True
return False

View File

@@ -16,14 +16,14 @@ from .enums import (
class Base(DeclarativeBase):
# Базовый класс для всех ORM-моделей.
# База ORM.
pass
class Car(Base):
# Основная сущность автомобиля в БД.
# Автомобиль.
__tablename__ = "cars"
id: Mapped[int] = mapped_column(Integer, primary_key=True, autoincrement=True)
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
parser_id: Mapped[str] = mapped_column(String(50), nullable=False, unique=True)
brand: Mapped[str] = mapped_column(String(50), nullable=False)
model: Mapped[str] = mapped_column(String(50), nullable=False)
@@ -59,18 +59,18 @@ class Car(Base):
class Image(Base):
# Изображения автомобиля, привязанные к записи Car.
# Картинки автомобиля.
__tablename__ = "images"
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
fullres_image: Mapped[str] = mapped_column(String(), nullable=False)
preview_image: Mapped[str] = mapped_column(String(), nullable=False)
order_index: Mapped[int] = mapped_column(Integer, nullable=False)
car_id: Mapped[int] = mapped_column(Integer, ForeignKey("cars.id", ondelete="CASCADE"), nullable=False)
car_id: Mapped[int] = mapped_column(BigInteger, ForeignKey("cars.id", ondelete="CASCADE"), nullable=False)
car: Mapped[Car] = relationship("Car", back_populates="images")
class SyncRun(Base):
# Служебная таблица для статистики запусков синхронизации.
# Статистика синхронизаций.
__tablename__ = "sync_runs"
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
started_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=func.now())
@@ -82,3 +82,18 @@ class SyncRun(Base):
cars_failed: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
images_upserted: Mapped[int] = mapped_column(Integer, nullable=False, default=0)
error_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
class ScrapeTask(Base):
# Задачи Celery.
__tablename__ = "scrape_tasks"
id: Mapped[int] = mapped_column(BigInteger().with_variant(Integer, "sqlite"), primary_key=True, autoincrement=True)
celery_task_id: Mapped[str] = mapped_column(String(255), nullable=False, unique=True, index=True)
task_type: Mapped[str] = mapped_column(String(50), nullable=False) # sync_vehicle/sync_listing
status: Mapped[str] = mapped_column(String(20), nullable=False, default="pending") # pending/running/success/failed
vehicle_url: Mapped[str | None] = mapped_column(Text, nullable=True)
created_at: Mapped[datetime] = mapped_column(DateTime(timezone=True), nullable=False, default=func.now())
started_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
finished_at: Mapped[datetime | None] = mapped_column(DateTime(timezone=True), nullable=True)
result_summary: Mapped[str | None] = mapped_column(Text, nullable=True)
error_message: Mapped[str | None] = mapped_column(Text, nullable=True)

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@@ -1,18 +1,16 @@
from datetime import datetime, timezone
from typing import Any
from pydantic import BaseModel, Field
from pydantic import BaseModel, ConfigDict, Field
class ImageRecord(BaseModel):
# Нормализованная схема одной картинки.
fullres_image: str
preview_image: str
order_index: int = 0
class CarRecord(BaseModel):
# Основная Pydantic-схема машины перед записью в БД.
parser_id: str
brand: str
model: str
@@ -48,12 +46,33 @@ class CarRecord(BaseModel):
mapping_notes: list[str] = Field(default_factory=list)
class ScrapeExport(BaseModel):
# Экспорт результата scrape для JSON-выгрузки.
source_url: str
fetched_at_epoch: int
vehicle_summary: dict[str, Any] = Field(default_factory=dict)
payload_insights: dict[str, Any] = Field(default_factory=dict)
db_record: CarRecord | None = None
network: dict[str, Any] = Field(default_factory=dict)
access_notes: dict[str, Any] = Field(default_factory=dict)
class CarRead(BaseModel):
# Ответ API по авто.
model_config = ConfigDict(from_attributes=True)
id: int
parser_id: str
brand: str
model: str
year: int | None = None
price: int | None = None
currency: str = "USD"
mileage: int = 0
country: str = "US"
is_sold: bool = False
color: str = "other"
drive: str | None = None
gearbox: str | None = None
steering_wheel: str | None = None
body_type: str = "OTHER"
engine_volume: int | None = None
selling_type: str = "AUCTION"
origin: str = "NA"
origin_url: str = ""
origin_id: str = ""
is_damaged: bool = False
slug: str = ""
last_seen_at: datetime | None = None
created_at: datetime | None = None
updated_at: datetime | None = None

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@@ -4,7 +4,7 @@ import unittest
from iaai_scraper.browser.pace import HumanPacer
from iaai_scraper.core.config import Settings
from iaai_scraper.storage.listing import ListingCollector
from iaai_scraper.browser.listing import ListingCollector
class _FakePage:

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@@ -23,6 +23,7 @@ class TestScraperSync(unittest.TestCase):
def _make_scraper(self) -> IAAIScraper:
s = Settings()
s.log_level = "CRITICAL"
s.database.url = "sqlite://"
return IAAIScraper(s)
def test_sync_vehicle_uses_db_record_without_remapping(self) -> None: