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2 Commits

Author SHA1 Message Date
qananasikq
1b5659f663 Update export script 2026-07-01 14:55:15 +03:00
qananasikq
a4d0f35279 fix car mapping 2026-07-01 14:54:46 +03:00
4 changed files with 383 additions and 7 deletions

5
.gitignore vendored
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@@ -21,3 +21,8 @@ artifacts/
celerybeat-schedule*
tokens_data/
tokens.json
tesst/
export_output/
upload_export/

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@@ -222,7 +222,7 @@ class AlgoliaConfig:
index_name: str = _env_str("DUBIZZLE_ALGOLIA_INDEX_NAME", "motors.com")
category_slug: str = _env_str("DUBIZZLE_ALGOLIA_CATEGORY_SLUG", "motors/used-cars")
base_url: str = _env_str("DUBIZZLE_ALGOLIA_BASE_URL", "https://WD0PTZ13ZS-dsn.algolia.net")
hits_per_page: int = _env_int("DUBIZZLE_ALGOLIA_HITS_PER_PAGE", 100)
hits_per_page: int = _env_int("DUBIZZLE_ALGOLIA_HITS_PER_PAGE", 20)
# --- Конфиг Celery (лимиты задач, concurrency, beat-расписание) ---

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@@ -99,11 +99,22 @@ class _AlgoliaHttpClient:
},
method="POST",
)
with urlopen(request, timeout=30) as response:
last_exc: Exception | None = None
for attempt in range(1, 4):
try:
with urlopen(request, timeout=15) as response:
body = response.read().decode("utf-8", errors="ignore")
parsed = json.loads(body)
results = parsed.get("results") or []
return results[0] if results and isinstance(results[0], dict) else {}
except Exception as exc:
last_exc = exc
if attempt >= 3:
break
time.sleep(0.8 * attempt)
raise last_exc or RuntimeError("Algolia request failed")
def _build_origin_id_from_hit(hit: dict[str, Any]) -> str | None:
@@ -282,6 +293,7 @@ def _fetch_shard_hits(
year_min: int | None,
year_max: int | None,
known_origin_ids: set[str] | None,
limit: int | None,
threshold: float,
max_duration_seconds: float | None,
started_at: float,
@@ -347,6 +359,12 @@ def _fetch_shard_hits(
hit_records[url] = raw_hit
if origin_id:
origin_ids_by_url[url] = origin_id
if limit is not None and limit > 0 and len(urls) >= limit:
early_stopped = True
break
if limit is not None and limit > 0 and len(urls) >= limit:
break
if known_origin_ids is not None and threshold > 0 and (page_known + page_new) > 0:
ratio = page_known / (page_known + page_new)
@@ -438,6 +456,7 @@ def discover_vehicle_hits_from_algolia(
year_min=year_min,
year_max=year_max,
known_origin_ids=known_origin_ids,
limit=(limit - len(collected_urls)) if limit is not None and limit > 0 else None,
threshold=threshold,
max_duration_seconds=max_duration_seconds,
started_at=started_at,

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@@ -0,0 +1,352 @@
from __future__ import annotations
import argparse
import json
import re
import sys
import time
from concurrent.futures import ThreadPoolExecutor, as_completed
from pathlib import Path
from urllib.request import Request, urlopen
# Делаем пакет импортируемым при запуске из корня репозитория.
sys.path.insert(0, str(Path(__file__).resolve().parent.parent))
from dubizzle_scraper.core.config import settings # noqa: E402
from dubizzle_scraper.core.config import _AUTO_YEAR_SPLITS # noqa: E402
from dubizzle_scraper.discovery.algolia import ( # noqa: E402
AlgoliaDiscoveryError,
discover_vehicle_hits_from_algolia,
)
from dubizzle_scraper.parsing.mapper import CarMapper # noqa: E402
_SAFE_RE = re.compile(r"[^A-Za-z0-9._-]+")
def _safe(text: str, max_len: int = 40) -> str:
text = (text or "").strip().replace(" ", "-")
text = _SAFE_RE.sub("", text)
return text[:max_len] or "NA"
def _folder_name(record) -> str:
"""Исходный формат имени папки.
Формат:
<source>_<source_id>__<brand>_<model>_<year>
"""
origin = str(getattr(record, "origin_id", "") or "")
source = str(getattr(record, "origin", "") or "dubizzle").split(":", 1)[0].strip().lower() or "dubizzle"
source_id = origin.split(":", 1)[-1].strip() if ":" in origin else origin.strip()
source_id = source_id or origin or "NA"
return (
f"{_safe(source, 20)}_{_safe(source_id, 40)}__"
f"{_safe(record.brand)}_{_safe(record.model)}_{record.year or 'NA'}"
)
def _scan_existing_origin_ids(output_dir: Path) -> set[str]:
"""Собирает raw origin_id уже выгруженных авто из car.json."""
existing: set[str] = set()
if not output_dir.exists():
return existing
for child in output_dir.iterdir():
if not child.is_dir():
continue
car_json = child / "car.json"
if not car_json.exists():
continue
try:
payload = json.loads(car_json.read_text(encoding="utf-8"))
except Exception:
continue
origin_id = (((payload or {}).get("car") or {}).get("origin_id") or "").strip()
if origin_id:
existing.add(origin_id)
return existing
def _build_payload_insights(hit: dict) -> dict:
return {
"vehicle_core": {
"lot_number": hit.get("id") or hit.get("objectID"),
"year": hit.get("year"),
"make": hit.get("make"),
"model": hit.get("model"),
"trim": hit.get("trim") or hit.get("motors_trim"),
"odometer": hit.get("kilometers") or hit.get("odometer"),
"body_type": hit.get("body_type"),
"gearbox": hit.get("transmission_type") or hit.get("transmission"),
"drive": hit.get("drive_type"),
"fuel_type": hit.get("fuel_type"),
"color": hit.get("exterior_color") or hit.get("color"),
"seller": hit.get("seller_type"),
"location": hit.get("location_name") or hit.get("location"),
"title": hit.get("title") or hit.get("name"),
"country": "AE",
"selling_type": "STOCK",
},
"pricing": {
"buy_now": hit.get("price"),
"current_bid": None,
"actual_cash_value": None,
"currency": hit.get("price_currency") or "AED",
},
"damage": {},
"auction": {"sale_status": hit.get("status")},
"images": {
"urls": hit.get("photo_mains") or hit.get("photo_thumbnails") or [],
},
}
def discover_cars(
target: int,
max_seconds: float | None,
skip_ids: set[str] | None = None,
) -> dict[str, dict]:
"""Собирает hit-записи по годовым сегментам, дедупит по origin_id.
``skip_ids`` — raw origin_id уже выгруженных авто, которые не нужно
считать как новые. Цель ``target`` считается именно по новым записям.
"""
from dubizzle_scraper.discovery.algolia import _build_origin_id_from_hit
skip_ids = skip_ids or set()
collected: dict[str, dict] = {} # origin_id -> hit
started = time.perf_counter()
for yr_min, yr_max in _AUTO_YEAR_SPLITS:
if len(collected) >= target:
break
print(f" [start] segment {yr_min}-{yr_max}", flush=True)
attempts = 0
segment_hits: dict[str, dict] = {}
while attempts < 5 and not segment_hits:
attempts += 1
remaining_limit = max(1, target - len(collected))
remaining_time = None
if max_seconds is not None:
remaining_time = max_seconds - (time.perf_counter() - started)
if remaining_time <= 0:
break
try:
result = discover_vehicle_hits_from_algolia(
settings=settings,
year_min=yr_min,
year_max=yr_max,
limit=remaining_limit,
known_origin_ids=skip_ids,
max_duration_seconds=remaining_time,
)
segment_hits = result.hit_records
except Exception as exc:
print(f" [warn] segment {yr_min}-{yr_max} attempt {attempts} failed: {exc}", flush=True)
if attempts < 5:
time.sleep(min(15, 2 * attempts))
# Fallback: при сетевых обрывах Algolia уменьшаем page size,
# это заметно стабильнее на больших сегментах.
try:
original_hpp = settings.algolia.hits_per_page
settings.algolia.hits_per_page = min(20, original_hpp)
result = discover_vehicle_hits_from_algolia(
settings=settings,
year_min=yr_min,
year_max=yr_max,
limit=remaining_limit,
known_origin_ids=skip_ids,
max_duration_seconds=remaining_time,
)
segment_hits = result.hit_records
except Exception as exc2:
print(f" [warn] segment {yr_min}-{yr_max} fallback failed: {exc2}", flush=True)
finally:
settings.algolia.hits_per_page = original_hpp
if not segment_hits:
continue
added = 0
for url, hit in segment_hits.items():
origin_id = _build_origin_id_from_hit(hit) or url
if origin_id in collected or origin_id in skip_ids:
continue
hit.setdefault("_vehicle_url", url)
collected[origin_id] = hit
added += 1
if len(collected) >= target:
break
print(
f" segment {yr_min}-{yr_max}: +{added} new (total {len(collected)}/{target})",
flush=True,
)
return collected
def _download_image(url: str, dest: Path, user_agent: str) -> bool:
if dest.exists() and dest.stat().st_size > 0:
return True
try:
req = Request(url, headers={"user-agent": user_agent, "accept": "image/*"})
with urlopen(req, timeout=30) as resp:
data = resp.read()
if not data:
return False
dest.write_bytes(data)
return True
except Exception:
return False
def export_car(
index: int,
hit: dict,
output_dir: Path,
mapper: CarMapper,
user_agent: str,
image_workers: int,
) -> tuple[int, int]:
"""Возвращает (скачаноото, всегоото)."""
url = hit.get("_vehicle_url") or ""
record = mapper.map_to_car_record(
vehicle_url=url,
vehicle_summary=hit,
payload_insights=_build_payload_insights(hit),
)
data = record.model_dump(mode="json")
car_dir = output_dir / _folder_name(record)
images_dir = car_dir / "images"
images_dir.mkdir(parents=True, exist_ok=True)
# car.json: только нужные замапленные данные для загрузки.
# Сырой Algolia payload не сохраняем — он сильно раздувает JSON и в БД не нужен.
payload = {
"car": data,
"source_url": url,
}
(car_dir / "car.json").write_text(
json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8"
)
images = data.get("images") or []
total = len(images)
if total == 0:
return 0, 0
tasks = []
for img in images:
order = int(img.get("order_index", 0))
src = img.get("fullres_image")
if not src:
continue
dest = images_dir / f"{order + 1:02d}.jpg"
tasks.append((src, dest))
downloaded = 0
with ThreadPoolExecutor(max_workers=max(1, image_workers)) as pool:
futures = {pool.submit(_download_image, src, dest, user_agent): dest for src, dest in tasks}
for fut in as_completed(futures):
if fut.result():
downloaded += 1
return downloaded, total
def main() -> None:
parser = argparse.ArgumentParser(description="Экспорт авто Dubizzle в папки для загрузки")
parser.add_argument("--target", type=int, default=11000, help="Сколько авто выгрузить")
parser.add_argument("--output", default="tesst", help="Папка вывода")
parser.add_argument("--car-workers", type=int, default=6, help="Параллельных авто")
parser.add_argument("--image-workers", type=int, default=8, help="Параллельных фото на авто")
parser.add_argument("--discovery-timeout", type=float, default=None, help="Лимит времени discovery, сек")
parser.add_argument("--no-images", action="store_true", help="Только car.json без скачивания фото")
args = parser.parse_args()
output_dir = Path(args.output)
output_dir.mkdir(parents=True, exist_ok=True)
user_agent = settings.fingerprint.user_agent
mapper = CarMapper()
existing_ids = _scan_existing_origin_ids(output_dir)
if existing_ids:
print(
f" Найдено {len(existing_ids)} уже выгруженных авто — будут пропущены.",
flush=True,
)
print(f"[1/2] Discovery: собираю до {args.target} новых авто через Algolia ...", flush=True)
cars = discover_cars(args.target, args.discovery_timeout, skip_ids=existing_ids)
hits = list(cars.values())
print(f" Найдено {len(hits)} новых уникальных авто.", flush=True)
if not hits:
print("Нет данных для экспорта. Проверь сеть/Algolia.", flush=True)
return
print(f"[2/2] Экспорт в '{output_dir}/' ...", flush=True)
total_cars = len(hits)
total_imgs = 0
done_cars = 0
image_workers = 0 if args.no_images else args.image_workers
def _work(idx_hit):
idx, hit = idx_hit
if args.no_images:
return _export_no_images(idx, hit, output_dir, mapper)
return export_car(idx, hit, output_dir, mapper, user_agent, image_workers)
with ThreadPoolExecutor(max_workers=max(1, args.car_workers)) as pool:
futures = {
pool.submit(_work, (idx, hit)): idx
for idx, hit in enumerate(hits, start=1)
}
for fut in as_completed(futures):
idx = futures[fut]
try:
dl, tot = fut.result()
total_imgs += dl
except Exception as exc:
print(f" [err] car #{idx}: {exc}", flush=True)
continue
done_cars += 1
if done_cars % 100 == 0 or done_cars == total_cars:
print(
f" {done_cars}/{total_cars} авто, фото скачано: {total_imgs}",
flush=True,
)
print(
f"Готово: {done_cars} авто в '{output_dir}/', всего фото скачано: {total_imgs}.",
flush=True,
)
def _export_no_images(index: int, hit: dict, output_dir: Path, mapper: CarMapper) -> tuple[int, int]:
url = hit.get("_vehicle_url") or ""
record = mapper.map_to_car_record(
vehicle_url=url,
vehicle_summary=hit,
payload_insights=_build_payload_insights(hit),
)
data = record.model_dump(mode="json")
car_dir = output_dir / _folder_name(record)
car_dir.mkdir(parents=True, exist_ok=True)
payload = {
"car": data,
"source_url": url,
}
(car_dir / "car.json").write_text(
json.dumps(payload, ensure_ascii=False, indent=2), encoding="utf-8"
)
return 0, len(data.get("images") or [])
if __name__ == "__main__":
main()