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- scheduler.py: исправлен stale-комментарий yandex_detail_backfill
(был: «YandexDetailScraper httpx, no proxy layer»;
теперь: fetch via curl_cffi chrome120 + scraper_proxy_url,
parse via YandexDetailScraper.parse)
- yandex_detail_backfill.py: outer except — сообщение лога изменено на
«save/iteration error for listing_id=%d» чтобы отличать save-ошибку
от fetch/parse-None путей (run_id убран — он менее важен в этом scope)
301 lines
12 KiB
Python
301 lines
12 KiB
Python
"""Scheduled backfill: detail-enrichment for legacy yandex listings (#1553).
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Nightly window 12:00-15:00 UTC (migration 113, source=yandex_detail_backfill).
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Offset from avito_detail_backfill (09-12 UTC) to avoid parallel egress on shared IP.
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Problem: ~3952 yandex listings have detail_enriched_at IS NULL.
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Yandex city sweep does not call YandexDetailScraper — SERP data only.
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area_m2 coverage 23%, living/kitchen 0%, repair_state 1% on prod.
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Solution: single snapshot SELECT at start (guarantees termination), fetch each
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offer detail page via curl_cffi AsyncSession (chrome120 + proxy) — mirrors
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yandex_address_backfill.py which already gets full HTML from Yandex on prod.
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Parse HTML via YandexDetailScraper.parse (pure, no network). Persist via
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save_detail_enrichment. Track consecutive parse→None results; abort after
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max_consecutive_blocks (mark_done, not mark_failed — retry next night via
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NULL detail_enriched_at).
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Why curl_cffi and not YandexDetailScraper.fetch_detail:
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fetch_detail uses BaseScraper._http_get (plain httpx, no proxy, no TLS
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fingerprinting). On datacenter IPs Yandex returns captcha / shell-HTML
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→ parse always returns None → backfill would be 0% effective. The
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curl_cffi path (chrome120 impersonation + mobile proxy) is already proven
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by yandex_address_backfill, which fetches identical offer detail pages.
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"""
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from __future__ import annotations
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import asyncio
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import logging
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import time
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from dataclasses import dataclass, field
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from curl_cffi.requests import AsyncSession
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.core.config import settings
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from app.services import scrape_runs as runs_mod
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from app.services.scrapers.yandex_detail import YandexDetailScraper, save_detail_enrichment
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logger = logging.getLogger(__name__)
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__all__ = [
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"YandexDetailBackfillResult",
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"run_yandex_detail_backfill",
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]
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@dataclass
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class YandexDetailBackfillResult:
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"""Counters for one yandex detail backfill run."""
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attempted: int = 0
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enriched: int = 0
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failed: int = 0
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duration_sec: float = field(default=0.0)
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def to_dict(self) -> dict[str, int]:
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return {
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"attempted": self.attempted,
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"enriched": self.enriched,
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"failed": self.failed,
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"duration_sec": int(self.duration_sec),
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}
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async def run_yandex_detail_backfill(
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db: Session,
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*,
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run_id: int,
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params: dict,
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) -> YandexDetailBackfillResult:
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"""Backfill detail_enriched_at for legacy yandex listings via curl_cffi + parse.
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Params (from default_params jsonb in scrape_schedules):
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batch_size: int -- snapshot size (SELECT LIMIT), default 800.
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budget_sec: float -- wall-clock budget per run, default 3600s.
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request_delay_sec: float -- delay between listings, default 5s.
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max_consecutive_blocks: int -- consecutive parse→None before abort, default 5.
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Fetch mechanism:
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curl_cffi AsyncSession(impersonate="chrome120") + scraper_proxy_url — mirrors
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yandex_address_backfill. On HTTP 200: pass resp.text to
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YandexDetailScraper().parse(html, offer_url). parse→None counts as a fail
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(possible captcha wall); consecutive None → abort after max_consecutive_blocks.
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Lifecycle: update_heartbeat -> snapshot -> loop with budget guard ->
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mark_done (incl. partial / consecutive-None abort) / mark_failed (exception only).
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"""
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batch_size = int(params.get("batch_size", 800))
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budget_sec = float(params.get("budget_sec", 3600))
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request_delay_sec = float(params.get("request_delay_sec", 5.0))
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max_consecutive_blocks = int(params.get("max_consecutive_blocks", 5))
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counters = YandexDetailBackfillResult()
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current_counters: dict[str, int] = counters.to_dict()
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start = time.monotonic()
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try:
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runs_mod.update_heartbeat(db, run_id, current_counters)
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# SNAPSHOT: single SELECT at start -- NOT re-selected in loop.
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# Priority: is_active DESC (active first), scraped_at DESC (newest first).
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snapshot = (
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db.execute(
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text(
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"""
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SELECT id, source_url
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FROM listings
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WHERE source = 'yandex'
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AND detail_enriched_at IS NULL
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AND source_url IS NOT NULL
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ORDER BY is_active DESC NULLS LAST, scraped_at DESC NULLS LAST
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LIMIT CAST(:batch_size AS int)
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"""
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),
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{"batch_size": batch_size},
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)
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.mappings()
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.all()
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)
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if not snapshot:
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logger.info(
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"yandex_detail_backfill: run_id=%d -- no pending listings "
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"(detail_enriched_at IS NULL = 0), done",
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run_id,
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)
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runs_mod.mark_done(db, run_id, current_counters)
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return counters
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logger.info(
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"yandex_detail_backfill: run_id=%d snapshot=%d (budget=%.0fs "
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"delay=%.1fs max_consecutive_none=%d)",
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run_id,
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len(snapshot),
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budget_sec,
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request_delay_sec,
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max_consecutive_blocks,
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)
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# Build proxies dict once — mirrors yandex_address_backfill.py
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_proxy = settings.scraper_proxy_url
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_proxies = {"http": _proxy, "https": _proxy} if _proxy else None
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consecutive_none = 0
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do_sleep = False
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scraper = YandexDetailScraper()
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async with AsyncSession(
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impersonate="chrome120",
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timeout=30.0,
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proxies=_proxies,
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headers={
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"Accept-Language": "ru-RU,ru;q=0.9,en;q=0.8",
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},
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) as session:
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for idx, row in enumerate(snapshot):
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# Budget guard
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elapsed = time.monotonic() - start
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if elapsed > budget_sec:
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logger.info(
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"yandex_detail_backfill: run_id=%d -- budget %.0fs exhausted "
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"(elapsed=%.1fs), stopping at #%d/%d",
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run_id,
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budget_sec,
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elapsed,
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idx,
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len(snapshot),
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)
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break
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# Delay before each request except the first
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if do_sleep:
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await asyncio.sleep(request_delay_sec)
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do_sleep = True
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source_url: str = row["source_url"]
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listing_id: int = row["id"]
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counters.attempted += 1
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try:
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try:
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resp = await session.get(source_url, allow_redirects=True)
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except Exception as fetch_exc:
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consecutive_none += 1
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counters.failed += 1
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logger.warning(
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"yandex_detail_backfill: run_id=%d listing_id=%d "
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"fetch error (consecutive=%d): %s",
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run_id,
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listing_id,
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consecutive_none,
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fetch_exc,
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)
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if consecutive_none >= max_consecutive_blocks:
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logger.error(
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"yandex_detail_backfill: run_id=%d ABORT -- %d consecutive "
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"errors. enriched=%d attempted=%d",
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run_id,
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consecutive_none,
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counters.enriched,
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counters.attempted,
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)
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break
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continue
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if resp.status_code != 200:
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consecutive_none += 1
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counters.failed += 1
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logger.warning(
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"yandex_detail_backfill: run_id=%d listing_id=%d "
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"HTTP %d (consecutive=%d)",
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run_id,
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listing_id,
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resp.status_code,
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consecutive_none,
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)
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if consecutive_none >= max_consecutive_blocks:
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logger.error(
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"yandex_detail_backfill: run_id=%d ABORT -- %d consecutive "
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"non-200 responses. enriched=%d attempted=%d",
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run_id,
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consecutive_none,
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counters.enriched,
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counters.attempted,
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)
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break
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continue
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enrichment = scraper.parse(resp.text, offer_url=source_url)
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if enrichment is None:
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# parse→None: captcha wall / shell-HTML / no JSON-LD.
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# Do not mark listing as done — retry next night.
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consecutive_none += 1
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counters.failed += 1
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logger.warning(
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"yandex_detail_backfill: run_id=%d listing_id=%d source_url=%s "
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"-> parse None (consecutive=%d)",
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run_id,
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listing_id,
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source_url,
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consecutive_none,
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)
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if consecutive_none >= max_consecutive_blocks:
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logger.error(
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"yandex_detail_backfill: run_id=%d ABORT -- %d consecutive "
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"parse-None results (captcha wall?). enriched=%d attempted=%d",
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run_id,
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consecutive_none,
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counters.enriched,
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counters.attempted,
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)
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break
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continue
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consecutive_none = 0
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if save_detail_enrichment(db, listing_id, enrichment):
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counters.enriched += 1
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except Exception as exc:
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counters.failed += 1
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logger.warning(
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"yandex_detail_backfill: save/iteration error for listing_id=%d: %s",
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listing_id,
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exc,
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)
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try:
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db.rollback()
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except Exception:
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pass
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if counters.attempted % 25 == 0:
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current_counters = counters.to_dict()
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runs_mod.update_heartbeat(db, run_id, current_counters)
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counters.duration_sec = time.monotonic() - start
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current_counters = counters.to_dict()
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runs_mod.mark_done(db, run_id, current_counters)
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logger.info(
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"yandex_detail_backfill: run_id=%d DONE -- attempted=%d enriched=%d "
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"failed=%d duration=%.1fs",
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run_id,
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counters.attempted,
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counters.enriched,
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counters.failed,
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counters.duration_sec,
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)
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return counters
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except Exception as exc:
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counters.duration_sec = time.monotonic() - start
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logger.exception(
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"yandex_detail_backfill: run_id=%d FAILED after %.1fs",
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run_id,
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counters.duration_sec,
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)
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runs_mod.mark_failed(db, run_id, str(exc)[:1000], counters.to_dict())
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raise
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