229 lines
9.1 KiB
Python
229 lines
9.1 KiB
Python
"""scrape_pipeline.py — Avito full orchestrator (Stage 2e).
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Координирует 5 шагов одного pipeline run:
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1. SEARCH — AvitoScraper().fetch_around(lat, lon, radius_m)
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2. SAVE — save_listings(db, lots) → (inserted, updated)
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3. GROUP — dedupe house_url из lots → unique set
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4. ENRICH_HOUSES — fetch_house_catalog + save_house_catalog_enrichment per unique house
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5. ENRICH_DETAIL — top-N listings (detail_enriched_at IS NULL) → fetch_detail + save
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Graceful degradation на каждом step: exception в одной house/listing
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не валит весь pipeline.
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IMV ОТСУТСТВУЕТ — он on-demand (Stage 3 estimator integration), не cron.
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"""
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from __future__ import annotations
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import logging
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from dataclasses import dataclass, field
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from urllib.parse import urlparse
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.services.scrapers.avito import AvitoScraper
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from app.services.scrapers.avito_detail import fetch_detail, save_detail_enrichment
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from app.services.scrapers.avito_houses import fetch_house_catalog, save_house_catalog_enrichment
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from app.services.scrapers.base import ScrapedLot, save_listings
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logger = logging.getLogger(__name__)
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# ── Result dataclasses ──────────────────────────────────────────────────────
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@dataclass
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class PipelineCounters:
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"""Counters одного pipeline run для логов/админки."""
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lots_fetched: int = 0
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lots_inserted: int = 0
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lots_updated: int = 0
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unique_houses: int = 0
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houses_enriched: int = 0
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houses_failed: int = 0
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detail_attempted: int = 0
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detail_enriched: int = 0
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detail_failed: int = 0
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errors: list[str] = field(default_factory=list)
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@dataclass
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class PipelineResult:
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"""Полный результат full Avito pipeline."""
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anchor_lat: float
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anchor_lon: float
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radius_m: int
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counters: PipelineCounters
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enrich_houses: bool
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enrich_detail_top_n: int
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# ── Main orchestrator ───────────────────────────────────────────────────────
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async def run_avito_pipeline(
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db: Session,
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lat: float,
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lon: float,
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radius_m: int = 1500,
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*,
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enrich_houses: bool = True,
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enrich_detail_top_n: int = 10,
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) -> PipelineResult:
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"""Full Avito search → houses → detail enrichment pipeline.
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Steps:
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1. SEARCH: AvitoScraper().fetch_around(lat, lon, radius_m) → list[ScrapedLot]
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2. SAVE: save_listings(db, lots) → (inserted, updated)
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3. GROUP: dedupe house_url из новых lots → unique house path set
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4. ENRICH_HOUSES (если enrich_houses=True): для каждого unique house path
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→ fetch_house_catalog + save_house_catalog_enrichment (try/except per house)
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5. ENRICH_DETAIL (если enrich_detail_top_n > 0): select top-N priority listings
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(приоритет — detail_enriched_at IS NULL + price > 0)
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→ fetch_detail + save_detail_enrichment (try/except per listing)
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6. Return PipelineResult с counters
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Graceful degradation на каждом step — exception на одной house/listing
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не должна провалить весь pipeline.
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"""
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counters = PipelineCounters()
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lots: list[ScrapedLot] = []
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# ── Step 1: search ──────────────────────────────────────────────────────
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async with AvitoScraper() as scraper:
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try:
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lots = await scraper.fetch_around(lat, lon, radius_m)
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counters.lots_fetched = len(lots)
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logger.info(
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"pipeline:search anchor=(%.4f,%.4f) r=%dm fetched=%d",
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lat,
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lon,
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radius_m,
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len(lots),
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)
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except Exception as e:
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logger.exception("pipeline:search failed")
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counters.errors.append(f"search: {e}")
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return PipelineResult(lat, lon, radius_m, counters, enrich_houses, enrich_detail_top_n)
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# ── Step 2: save listings ───────────────────────────────────────────────
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if lots:
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try:
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counters.lots_inserted, counters.lots_updated = save_listings(db, lots)
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except Exception as e:
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logger.exception("pipeline:save_listings failed")
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counters.errors.append(f"save_listings: {e}")
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# ── Step 3: group by house ──────────────────────────────────────────────
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# Dedupe house path (без host) для consistency; fetch_house_catalog принимает path
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unique_house_paths: set[str] = set()
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for lot in lots:
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if lot.house_url:
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try:
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parsed = urlparse(lot.house_url)
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path = parsed.path if parsed.path else lot.house_url
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unique_house_paths.add(path)
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except Exception:
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continue
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counters.unique_houses = len(unique_house_paths)
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logger.info("pipeline:group_by_house unique=%d", counters.unique_houses)
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# ── Step 4: enrich houses ───────────────────────────────────────────────
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if enrich_houses and unique_house_paths:
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for house_path in unique_house_paths:
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try:
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enrichment = await fetch_house_catalog(house_path)
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save_house_catalog_enrichment(db, enrichment)
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counters.houses_enriched += 1
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except Exception as e:
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logger.warning(
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"pipeline:house_enrich failed for %s: %s", house_path, e
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)
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counters.houses_failed += 1
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counters.errors.append(f"house {house_path}: {e}")
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# ── Step 5: enrich detail для top-N priority listings ──────────────────
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if enrich_detail_top_n > 0:
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# Priority: листинги ещё не enriched (detail_enriched_at IS NULL)
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# в радиусе 2× от anchor ИЛИ только что scraped (последние 2 часа).
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# OR обёрнут в скобки — приоритет AND выше OR.
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priority_rows = db.execute(
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text("""
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SELECT source_url
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FROM listings
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WHERE source = 'avito'
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AND source_url IS NOT NULL
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AND (
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(
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detail_enriched_at IS NULL
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AND price_rub > 0
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AND ST_DWithin(
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geom::geography,
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ST_MakePoint(:lon, :lat)::geography,
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:radius
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)
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)
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OR (
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detail_enriched_at IS NULL
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AND scraped_at > NOW() - INTERVAL '2 hours'
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)
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)
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ORDER BY scraped_at DESC NULLS LAST
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LIMIT :limit
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"""),
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{
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"lat": lat,
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"lon": lon,
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"radius": radius_m * 2,
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"limit": enrich_detail_top_n,
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},
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).mappings().all()
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for row in priority_rows:
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source_url: str = row["source_url"]
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counters.detail_attempted += 1
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try:
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# fetch_detail принимает absolute URL или relative path
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item_url = (
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urlparse(source_url).path
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if source_url.startswith("http")
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else source_url
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)
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enrichment_detail = await fetch_detail(item_url)
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if save_detail_enrichment(db, enrichment_detail):
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counters.detail_enriched += 1
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except Exception as e:
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logger.warning(
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"pipeline:detail_enrich failed for %s: %s", source_url, e
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)
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counters.detail_failed += 1
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counters.errors.append(f"detail {source_url}: {e}")
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logger.info(
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"pipeline:done anchor=(%.4f,%.4f) lots=%d (ins=%d/upd=%d) "
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"houses=%d/%d detail=%d/%d errors=%d",
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lat,
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lon,
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counters.lots_fetched,
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counters.lots_inserted,
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counters.lots_updated,
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counters.houses_enriched,
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counters.unique_houses,
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counters.detail_enriched,
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counters.detail_attempted,
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len(counters.errors),
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)
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return PipelineResult(lat, lon, radius_m, counters, enrich_houses, enrich_detail_top_n)
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# ── Public re-exports ───────────────────────────────────────────────────────
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__all__ = [
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"PipelineCounters",
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"PipelineResult",
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"run_avito_pipeline",
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]
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