feat(tradein): cian newbuilding enrichment backfill task + live-data fix (#972) #1148
3 changed files with 909 additions and 1 deletions
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@ -139,7 +139,7 @@ async def fetch_newbuilding(
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floors_count_max=nb.get("floorsCountMax"),
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building_class=nb.get("newbuildingClassName") or nb.get("buildingClass"),
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management_company=nb.get("managementCompany"),
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transport_accessibility_rate=nb.get("transportAccessibilityRate"),
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transport_accessibility_rate=_extract_transport_rate(nb),
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advantages=_extract_advantages(nb),
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builders=_safe_list(nb.get("builders")),
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banks=_safe_list(nb.get("banks")),
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@ -224,6 +224,28 @@ def _extract_deadline_year(nb: dict[str, Any]) -> int | None:
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return None
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def _extract_transport_rate(nb: dict[str, Any]) -> int | None:
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"""Extract transport accessibility rate as int|None.
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Cian payload drift (#972): `transportAccessibilityRate` is now a nested dict
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({'transportAccessibility': <int|null>}) rather than a bare int. Older pages
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returned a plain int. Handle both — returning a dict here would violate the
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NewbuildingEnrichment.transport_accessibility_rate: int|None contract and break
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the CAST(:tar AS ...) bind in save_newbuilding_enrichment (psycopg cannot adapt
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a dict). Anything non-int collapses to None.
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"""
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raw = nb.get("transportAccessibilityRate")
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if isinstance(raw, dict):
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raw = raw.get("transportAccessibility") or raw.get("rate") or raw.get("value")
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if isinstance(raw, bool): # bool is an int subclass — exclude explicitly
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return None
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if isinstance(raw, int):
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return raw
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if isinstance(raw, float):
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return int(raw)
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return None
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def _extract_advantages(nb: dict[str, Any]) -> list[dict[str, Any]]:
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"""Extract typed advantages list from newbuilding.advantages."""
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raw = nb.get("advantages") or nb.get("advantagesTyped") or []
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518
tradein-mvp/backend/app/tasks/newbuilding_enrich_backfill.py
Normal file
518
tradein-mvp/backend/app/tasks/newbuilding_enrich_backfill.py
Normal file
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@ -0,0 +1,518 @@
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"""Backfill task #972 (950-E1): enrich the 283 cian_newbuilding houses.
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Context
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-------
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Three newbuilding-enrichment tables are EMPTY in prod (0 rows) — the Cian
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newbuilding "Phase 4" enrichment never backfilled the existing house cache:
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- houses_price_dynamics (realtyValuation 7-month chart)
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- house_reliability_checks (наш.дом.рф checkStatus + details[])
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- house_reviews (ЖК resident reviews)
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Only the ~283 houses linked to ext_source='cian_newbuilding' (via house_sources)
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carry a fetchable Cian ЖК page (cian_zhk_url). This task selects those houses and
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runs the EXISTING enrichment over each one:
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fetch_newbuilding(zhk_url) -> NewbuildingEnrichment
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save_newbuilding_enrichment(db, ...) -> houses_price_dynamics + house_reliability_checks
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_save_cian_reviews(db, ...) -> house_reviews (added here — see note below)
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Why a dedicated task (not just the existing cian_history_backfill houses block):
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- That block keys off `houses.cian_zhk_url IS NOT NULL` only; this one anchors on
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the canonical `ext_source='cian_newbuilding'` link (the 283 set the issue names)
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and reports how many of those are actually fetchable (have a zhk_url).
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- save_newbuilding_enrichment() does NOT persist reviews and house_reliability_checks
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has no UNIQUE constraint, so naive re-runs would duplicate it. This task adds an
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idempotent review writer + a reliability-dedup guard WITHOUT touching the shared
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save_newbuilding_enrichment() (keeps the SERP-sweep path untouched).
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Idempotency
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-----------
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- Default: skips a house that already has rows in ALL three target tables.
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- force=True: re-runs every selected house (price_dynamics UPSERTs via its dim_key;
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reliability is skipped if a cian_nashdom row already exists; reviews UPSERT via
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(source, ext_review_id)). Safe to re-run; a partial/aborted run resumes cleanly.
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Anti-bot / resilience
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---------------------
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- Polite per-house delay = get_scraper_delay('cian') (default 5s) with ±20% jitter.
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- SAVEPOINT per house: one failed fetch / captcha / save logs + continues; the batch
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is never aborted on a single house. Counters track enriched vs failed.
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Execution
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---------
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- tradein-mvp has NO Celery app (see app/tasks/refresh_search_matview.py). This is a
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plain async callable, driven by tradein's own DB session (app.core.db.SessionLocal /
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get_db) — NEVER gendesign's DB. Trigger via the in-app scheduler or an admin endpoint.
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- psycopg v3 conventions: CAST(:x AS type) in SQL (never `::`); logger (never print).
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"""
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from __future__ import annotations
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import asyncio
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import json
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import logging
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import random
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import time
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from dataclasses import dataclass, field, fields
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from sqlalchemy import text
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from sqlalchemy.orm import Session
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from app.services.scraper_settings import get_scraper_delay
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logger = logging.getLogger(__name__)
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__all__ = [
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"NewbuildingEnrichBackfillResult",
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"backfill_newbuilding_enrichment",
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"count_cian_newbuilding_houses",
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]
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# Source tags written by the Cian newbuilding enrichment (kept in sync with
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# save_newbuilding_enrichment + _save_cian_reviews below).
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_PRICE_DYNAMICS_SOURCE = "cian_realty_valuation"
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_RELIABILITY_SOURCE = "cian_nashdom"
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_REVIEWS_SOURCE = "cian"
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@dataclass
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class NewbuildingEnrichBackfillResult:
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"""Per-run counters for the newbuilding-enrichment backfill."""
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# Population sizing (independent of `limit`).
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cian_houses_total: int = 0 # houses linked to ext_source='cian_newbuilding'
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cian_houses_fetchable: int = 0 # of those, with cian_zhk_url NOT NULL
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cian_houses_pending: int = 0 # fetchable AND not yet fully enriched (force=False)
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# Processing (bounded by `limit`).
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processed: int = 0
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skipped_already_enriched: int = 0
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succeeded: int = 0
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failed_fetch: int = 0 # fetch returned None / raised
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failed_save: int = 0 # save raised after a good fetch
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# Row-level deltas (how much actually landed).
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price_dynamics_rows: int = 0
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reliability_rows: int = 0
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review_rows: 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 {f.name: int(getattr(self, f.name)) for f in fields(self)}
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# SQL: anchor on the canonical cian_newbuilding link (the 283), require a fetchable
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# zhk_url, and (unless force) skip houses already enriched.
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#
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# "Enriched" = has price_dynamics AND reliability rows. We deliberately do NOT require
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# house_reviews here: the Cian newbuilding initialState rarely carries the reviews list
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# (verified on real ЖК pages — reviews load via a separate XHR the current scraper does
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# not call), so requiring reviews would leave virtually every house perpetually "pending"
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# and make every re-run re-fetch + append a duplicate reliability row. Reviews are written
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# opportunistically when present; their absence must not block the skip.
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# DISTINCT — a house can have >1 house_sources row in theory.
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_SELECT_PENDING_HOUSES = """
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SELECT DISTINCT h.id AS house_id, h.cian_zhk_url
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FROM houses h
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JOIN house_sources hs ON hs.house_id = h.id
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WHERE hs.ext_source = 'cian_newbuilding'
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AND h.cian_zhk_url IS NOT NULL
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AND (
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CAST(:force AS boolean) = TRUE
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OR NOT (
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EXISTS (SELECT 1 FROM houses_price_dynamics pd WHERE pd.house_id = h.id)
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AND EXISTS (SELECT 1 FROM house_reliability_checks rc WHERE rc.house_id = h.id)
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)
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)
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ORDER BY h.id
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LIMIT :lim
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"""
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_COUNT_TOTAL = """
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SELECT COUNT(DISTINCT h.id)
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FROM houses h
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JOIN house_sources hs ON hs.house_id = h.id
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WHERE hs.ext_source = 'cian_newbuilding'
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"""
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_COUNT_FETCHABLE = """
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SELECT COUNT(DISTINCT h.id)
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FROM houses h
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JOIN house_sources hs ON hs.house_id = h.id
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WHERE hs.ext_source = 'cian_newbuilding'
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AND h.cian_zhk_url IS NOT NULL
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"""
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_COUNT_PENDING = """
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SELECT COUNT(DISTINCT h.id)
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FROM houses h
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JOIN house_sources hs ON hs.house_id = h.id
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WHERE hs.ext_source = 'cian_newbuilding'
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AND h.cian_zhk_url IS NOT NULL
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AND NOT (
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EXISTS (SELECT 1 FROM houses_price_dynamics pd WHERE pd.house_id = h.id)
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AND EXISTS (SELECT 1 FROM house_reliability_checks rc WHERE rc.house_id = h.id)
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)
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"""
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def count_cian_newbuilding_houses(db: Session) -> dict[str, int]:
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"""Sizing helper: how many cian_newbuilding houses exist / are fetchable / pending.
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Cheap (3 COUNTs) — safe to call before a run to gauge the population and a dry-run.
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"""
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total = int(db.execute(text(_COUNT_TOTAL)).scalar_one())
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fetchable = int(db.execute(text(_COUNT_FETCHABLE)).scalar_one())
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pending = int(db.execute(text(_COUNT_PENDING)).scalar_one())
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return {"total": total, "fetchable": fetchable, "pending": pending}
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def _save_cian_reviews(db: Session, house_id: int, reviews: list[dict]) -> int:
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"""Persist Cian ЖК reviews to house_reviews (source='cian'), idempotently.
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save_newbuilding_enrichment() does not write reviews; this fills that gap so the
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house_reviews table becomes non-zero from the cian path. The Avito review writer
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uses source='avito'; we tag cian rows source='cian' so the two never collide on
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the (source, ext_review_id) UNIQUE key.
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Each `review` is a raw Cian review dict from NewbuildingEnrichment.reviews. We map
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defensively (Cian field names vary by MFE version) and skip entries with no usable
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external id — without a stable ext_review_id we cannot dedup, so we drop rather than
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risk duplicate inserts on re-run.
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Caller is responsible for the surrounding SAVEPOINT/commit.
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"""
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if not reviews:
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return 0
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saved = 0
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for r in reviews:
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if not isinstance(r, dict):
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continue
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ext_review_id = r.get("id") or r.get("reviewId") or r.get("review_id")
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if ext_review_id is None:
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continue
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try:
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ext_review_id_int = int(ext_review_id)
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except (TypeError, ValueError):
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continue
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author = r.get("author")
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author_name = None
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if isinstance(author, dict):
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author_name = author.get("name") or author.get("title")
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elif isinstance(author, str):
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author_name = author
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author_name = author_name or r.get("authorName") or r.get("userName")
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score = r.get("rate") or r.get("score") or r.get("rating")
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try:
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score_int = int(score) if score is not None else None
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except (TypeError, ValueError):
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score_int = None
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# house_reviews.score has a CHECK (1..5) — clamp out-of-range / drop bad values.
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if score_int is not None and not (1 <= score_int <= 5):
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score_int = None
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db.execute(
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text("""
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INSERT INTO house_reviews (
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house_id, source, ext_review_id,
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author_name, review_title, score,
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model_experience, rated_date,
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text_main, text_pros, text_cons,
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raw_payload, scraped_at
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) VALUES (
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CAST(:house_id AS bigint), :source, CAST(:ext_review_id AS bigint),
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CAST(:author_name AS text), CAST(:review_title AS text),
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CAST(:score AS int),
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CAST(:model_experience AS text), CAST(:rated_date AS date),
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CAST(:text_main AS text), CAST(:text_pros AS text),
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CAST(:text_cons AS text),
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CAST(:raw_payload AS jsonb), NOW()
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)
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ON CONFLICT (source, ext_review_id) DO UPDATE SET
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author_name = EXCLUDED.author_name,
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review_title = EXCLUDED.review_title,
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score = EXCLUDED.score,
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text_main = EXCLUDED.text_main,
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raw_payload = EXCLUDED.raw_payload,
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scraped_at = NOW()
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"""),
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{
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"house_id": house_id,
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"source": _REVIEWS_SOURCE,
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"ext_review_id": ext_review_id_int,
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"author_name": author_name,
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"review_title": r.get("title") or r.get("reviewTitle"),
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"score": score_int,
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"model_experience": r.get("experience") or r.get("modelExperience"),
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"rated_date": None, # Cian review date format varies; raw kept in payload
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"text_main": r.get("text") or r.get("body") or r.get("comment"),
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"text_pros": r.get("pros") or r.get("advantages"),
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"text_cons": r.get("cons") or r.get("disadvantages"),
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"raw_payload": json.dumps(r, ensure_ascii=False),
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},
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)
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saved += 1
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return saved
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def _house_enrichment_counts(db: Session, house_id: int) -> tuple[int, int, int]:
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"""Return (price_dynamics, reliability, reviews) row counts for a house."""
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pd = int(
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db.execute(
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text("SELECT COUNT(*) FROM houses_price_dynamics WHERE house_id = CAST(:h AS bigint)"),
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{"h": house_id},
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).scalar_one()
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)
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rc = int(
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db.execute(
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text(
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"SELECT COUNT(*) FROM house_reliability_checks "
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"WHERE house_id = CAST(:h AS bigint)"
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),
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{"h": house_id},
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).scalar_one()
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)
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rv = int(
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db.execute(
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text("SELECT COUNT(*) FROM house_reviews WHERE house_id = CAST(:h AS bigint)"),
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{"h": house_id},
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).scalar_one()
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)
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return pd, rc, rv
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async def backfill_newbuilding_enrichment(
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db: Session,
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*,
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limit: int = 5,
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force: bool = False,
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request_delay_sec: float | None = None,
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dry_run: bool = False,
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) -> NewbuildingEnrichBackfillResult:
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"""Backfill the 3 newbuilding-enrichment tables over cian_newbuilding houses.
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Args:
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db: tradein-mvp SQLAlchemy session (caller-owned; NOT gendesign's DB).
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limit: max houses to process this call. DEFAULT 5 — bounded test/proof mode;
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raise to ~283 for the full run once the proof looks good.
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force: re-process houses already enriched (UPSERT/dedup-guarded). Default False
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skips houses that already have price_dynamics AND reliability rows (reviews
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are optional — see _SELECT_PENDING_HOUSES note).
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request_delay_sec: seconds between fetches. None -> get_scraper_delay('cian')
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(default 5s). Applied with ±20% jitter; anti-bot politeness.
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dry_run: count the population + log the pending list, fetch nothing, write nothing.
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Returns:
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NewbuildingEnrichBackfillResult with population sizing, per-house outcome
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counters, and row-level deltas across the 3 tables.
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"""
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# Import here (not module top) so the heavy curl_cffi scraper stack is only loaded
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# when the task actually runs — mirrors cian_history_backfill's lazy import and keeps
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# unit tests able to patch fetch_newbuilding cheaply.
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from app.services.scrapers.cian_newbuilding import (
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fetch_newbuilding,
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save_newbuilding_enrichment,
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)
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result = NewbuildingEnrichBackfillResult()
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t0 = time.time()
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delay = request_delay_sec if request_delay_sec is not None else get_scraper_delay("cian")
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# ── Population sizing (always; cheap, helps the orchestrator decide on a full run) ──
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sizing = count_cian_newbuilding_houses(db)
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result.cian_houses_total = sizing["total"]
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result.cian_houses_fetchable = sizing["fetchable"]
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result.cian_houses_pending = sizing["pending"]
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rows = (
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db.execute(text(_SELECT_PENDING_HOUSES), {"force": force, "lim": limit})
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.mappings()
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.all()
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)
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logger.info(
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"newbuilding-enrich backfill: cian_houses total=%d fetchable=%d pending=%d; "
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"selected=%d (limit=%d force=%s dry_run=%s delay=%.1fs)",
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result.cian_houses_total,
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result.cian_houses_fetchable,
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result.cian_houses_pending,
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len(rows),
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limit,
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force,
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dry_run,
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delay,
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)
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if dry_run:
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logger.info(
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"dry_run: would process %d cian_newbuilding houses (ids=%s)",
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len(rows),
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[r["house_id"] for r in rows],
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)
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result.duration_sec = time.time() - t0
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return result
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for idx, row in enumerate(rows):
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house_id: int = row["house_id"]
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zhk_url: str = row["cian_zhk_url"]
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result.processed += 1
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# Idempotency fast-path: with force=False the SELECT already excludes enriched
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# houses (price_dynamics + reliability present), so this branch is a belt-and-
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# braces guard against a concurrent writer between SELECT and processing.
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if not force:
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pd, rc, rv = _house_enrichment_counts(db, house_id)
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if pd > 0 and rc > 0:
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result.skipped_already_enriched += 1
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logger.debug(
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"skip house_id=%s — already enriched (pd=%d rc=%d rv=%d)",
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house_id,
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pd,
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rc,
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rv,
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)
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continue
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# ── Fetch (network; anti-bot surface) ──────────────────────────────
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enrichment = None
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try:
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enrichment = await fetch_newbuilding(zhk_url)
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except Exception as exc:
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logger.warning(
|
||||
"newbuilding fetch failed house_id=%s url=%s: %s", house_id, zhk_url, exc
|
||||
)
|
||||
result.failed_fetch += 1
|
||||
await _sleep_with_jitter(delay, idx, len(rows))
|
||||
continue
|
||||
|
||||
if enrichment is None:
|
||||
logger.warning(
|
||||
"newbuilding fetch returned None house_id=%s url=%s (captcha / parse miss?)",
|
||||
house_id,
|
||||
zhk_url,
|
||||
)
|
||||
result.failed_fetch += 1
|
||||
await _sleep_with_jitter(delay, idx, len(rows))
|
||||
continue
|
||||
|
||||
# ── Save under a SAVEPOINT so one bad house can't poison the batch ──
|
||||
# begin_nested() = SAVEPOINT; save_newbuilding_enrichment commits internally,
|
||||
# so we snapshot the row counts BEFORE and recompute the delta AFTER its commit
|
||||
# rather than relying on the nested transaction staying open.
|
||||
pd_before, rc_before, rv_before = _house_enrichment_counts(db, house_id)
|
||||
try:
|
||||
had_reliability = rc_before > 0
|
||||
|
||||
# 1) price_dynamics + reliability + houses UPDATE (existing, commits inside).
|
||||
save_newbuilding_enrichment(db, house_id, enrichment)
|
||||
|
||||
# 2) reviews — added here (save_newbuilding_enrichment skips them).
|
||||
# SAVEPOINT around the review write so a malformed review can't lose the
|
||||
# price/reliability rows already committed above.
|
||||
review_written = 0
|
||||
if enrichment.reviews:
|
||||
sp = db.begin_nested()
|
||||
try:
|
||||
review_written = _save_cian_reviews(db, house_id, enrichment.reviews)
|
||||
sp.commit()
|
||||
db.commit()
|
||||
except Exception as rexc:
|
||||
sp.rollback()
|
||||
logger.warning(
|
||||
"review save failed house_id=%s (price/reliability kept): %s",
|
||||
house_id,
|
||||
rexc,
|
||||
)
|
||||
|
||||
# 3) reliability dedup guard: house_reliability_checks has no UNIQUE
|
||||
# constraint, so save_newbuilding_enrichment appends a fresh row every
|
||||
# pass. If the house already had a cian_nashdom row BEFORE this pass
|
||||
# (i.e. we just re-processed it), collapse to the single newest row so
|
||||
# repeated runs can't accumulate duplicates. Runs regardless of `force`
|
||||
# because a force=False resume can also re-touch a partially-saved house.
|
||||
if had_reliability:
|
||||
sp = db.begin_nested()
|
||||
try:
|
||||
_dedup_reliability(db, house_id)
|
||||
sp.commit()
|
||||
db.commit()
|
||||
except Exception as dexc:
|
||||
sp.rollback()
|
||||
logger.warning(
|
||||
"reliability dedup failed house_id=%s: %s", house_id, dexc
|
||||
)
|
||||
|
||||
pd_after, rc_after, rv_after = _house_enrichment_counts(db, house_id)
|
||||
result.price_dynamics_rows += max(0, pd_after - pd_before)
|
||||
result.reliability_rows += max(0, rc_after - rc_before)
|
||||
result.review_rows += max(0, rv_after - rv_before)
|
||||
result.succeeded += 1
|
||||
logger.info(
|
||||
"enriched house_id=%s: +pd=%d +reliability=%d +reviews=%d (parsed reviews=%d)",
|
||||
house_id,
|
||||
max(0, pd_after - pd_before),
|
||||
max(0, rc_after - rc_before),
|
||||
review_written,
|
||||
len(enrichment.reviews),
|
||||
)
|
||||
except Exception as exc:
|
||||
result.failed_save += 1
|
||||
logger.warning("newbuilding save failed house_id=%s: %s", house_id, exc)
|
||||
# save_newbuilding_enrichment may have left the session dirty — roll back so
|
||||
# the next house starts clean (mirrors cian_history_backfill behaviour).
|
||||
try:
|
||||
db.rollback()
|
||||
except Exception as rb_exc:
|
||||
logger.warning("rollback failed house_id=%s: %s", house_id, rb_exc)
|
||||
|
||||
await _sleep_with_jitter(delay, idx, len(rows))
|
||||
|
||||
result.duration_sec = time.time() - t0
|
||||
logger.info(
|
||||
"newbuilding-enrich backfill done: processed=%d ok=%d skip=%d "
|
||||
"fetch_fail=%d save_fail=%d | rows pd=%d reliability=%d reviews=%d | %.1fs",
|
||||
result.processed,
|
||||
result.succeeded,
|
||||
result.skipped_already_enriched,
|
||||
result.failed_fetch,
|
||||
result.failed_save,
|
||||
result.price_dynamics_rows,
|
||||
result.reliability_rows,
|
||||
result.review_rows,
|
||||
result.duration_sec,
|
||||
)
|
||||
return result
|
||||
|
||||
|
||||
def _dedup_reliability(db: Session, house_id: int) -> None:
|
||||
"""Keep only the newest cian_nashdom reliability row for a house.
|
||||
|
||||
house_reliability_checks has no UNIQUE constraint; a force re-run appends a fresh
|
||||
row each pass. Collapse to the most-recent row so re-runs don't accumulate dupes.
|
||||
"""
|
||||
db.execute(
|
||||
text("""
|
||||
DELETE FROM house_reliability_checks
|
||||
WHERE house_id = CAST(:h AS bigint)
|
||||
AND source = :src
|
||||
AND id NOT IN (
|
||||
SELECT id FROM house_reliability_checks
|
||||
WHERE house_id = CAST(:h AS bigint) AND source = :src
|
||||
ORDER BY recorded_at DESC, id DESC
|
||||
LIMIT 1
|
||||
)
|
||||
"""),
|
||||
{"h": house_id, "src": _RELIABILITY_SOURCE},
|
||||
)
|
||||
|
||||
|
||||
async def _sleep_with_jitter(delay: float, idx: int, total: int) -> None:
|
||||
"""Polite anti-bot sleep with ±20% jitter; skipped after the last item."""
|
||||
if delay <= 0 or idx >= total - 1:
|
||||
return
|
||||
await asyncio.sleep(delay * random.uniform(0.8, 1.2))
|
||||
|
|
@ -0,0 +1,368 @@
|
|||
"""Tests for newbuilding_enrich_backfill task (#972 / 950-E1).
|
||||
|
||||
No real network, no real Postgres. The Cian fetch is mocked; the DB session is a
|
||||
lightweight in-memory fake that models just enough of the three target tables to
|
||||
assert (a) rows land and (b) an idempotent re-run does not duplicate them.
|
||||
"""
|
||||
from __future__ import annotations
|
||||
|
||||
import os
|
||||
import sys
|
||||
from unittest.mock import AsyncMock, MagicMock, patch
|
||||
|
||||
# DATABASE_URL required by config before any app import.
|
||||
os.environ.setdefault("DATABASE_URL", "postgresql+psycopg://test:test@localhost:5432/test")
|
||||
|
||||
# WeasyPrint stub — not installed in CI without GTK.
|
||||
_wp_mock = MagicMock()
|
||||
sys.modules.setdefault("weasyprint", _wp_mock)
|
||||
|
||||
import pytest # noqa: E402
|
||||
|
||||
from app.services.scrapers.cian_newbuilding import NewbuildingEnrichment # noqa: E402
|
||||
from app.tasks.newbuilding_enrich_backfill import ( # noqa: E402
|
||||
NewbuildingEnrichBackfillResult,
|
||||
_save_cian_reviews,
|
||||
backfill_newbuilding_enrichment,
|
||||
)
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# In-memory fake Session — models houses_price_dynamics / house_reliability_checks
|
||||
# / house_reviews well enough for count + idempotency assertions.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
class _FakeResult:
|
||||
def __init__(self, *, scalar=None, rows=None):
|
||||
self._scalar = scalar
|
||||
self._rows = rows or []
|
||||
|
||||
def scalar_one(self):
|
||||
return self._scalar
|
||||
|
||||
def mappings(self):
|
||||
return self
|
||||
|
||||
def all(self):
|
||||
return self._rows
|
||||
|
||||
|
||||
class FakeDB:
|
||||
"""Minimal SQLAlchemy-Session stand-in keyed off SQL text fragments.
|
||||
|
||||
Stores price_dynamics / reliability / reviews as sets/lists keyed by their
|
||||
natural dedup key so re-inserts are no-ops (mirrors the real ON CONFLICT /
|
||||
dedup-guard behaviour the task relies on).
|
||||
"""
|
||||
|
||||
def __init__(self, pending_rows):
|
||||
self._pending_rows = pending_rows # list[dict house_id, cian_zhk_url]
|
||||
# price_dynamics keyed by (house_id, month_date, source, room_count, prices_type, period)
|
||||
self.price_dynamics: set[tuple] = set()
|
||||
# reviews keyed by (source, ext_review_id)
|
||||
self.reviews: dict[tuple, dict] = {}
|
||||
# reliability: list of (house_id, source)
|
||||
self.reliability: list[tuple] = []
|
||||
|
||||
# -- query router ------------------------------------------------------
|
||||
def execute(self, statement, params=None):
|
||||
sql = str(statement)
|
||||
params = params or {}
|
||||
|
||||
if "COUNT(DISTINCT h.id)" in sql and "houses_price_dynamics pd" in sql:
|
||||
# _COUNT_PENDING
|
||||
return _FakeResult(scalar=len(self._pending_rows))
|
||||
if "COUNT(DISTINCT h.id)" in sql and "cian_zhk_url IS NOT NULL" in sql:
|
||||
# _COUNT_FETCHABLE
|
||||
return _FakeResult(scalar=len(self._pending_rows))
|
||||
if "COUNT(DISTINCT h.id)" in sql:
|
||||
# _COUNT_TOTAL
|
||||
return _FakeResult(scalar=len(self._pending_rows))
|
||||
|
||||
if "SELECT DISTINCT h.id AS house_id" in sql:
|
||||
lim = params.get("lim", len(self._pending_rows))
|
||||
return _FakeResult(rows=self._pending_rows[:lim])
|
||||
|
||||
if "COUNT(*) FROM houses_price_dynamics" in sql:
|
||||
h = params["h"]
|
||||
return _FakeResult(scalar=sum(1 for k in self.price_dynamics if k[0] == h))
|
||||
if "COUNT(*) FROM house_reliability_checks" in sql:
|
||||
h = params["h"]
|
||||
return _FakeResult(scalar=sum(1 for k in self.reliability if k[0] == h))
|
||||
if "COUNT(*) FROM house_reviews" in sql:
|
||||
h = params["h"]
|
||||
return _FakeResult(scalar=sum(1 for k, v in self.reviews.items() if v["house_id"] == h))
|
||||
|
||||
if "INSERT INTO house_reviews" in sql:
|
||||
key = (params["source"], params["ext_review_id"])
|
||||
self.reviews[key] = {"house_id": params["house_id"], **params} # UPSERT
|
||||
return _FakeResult()
|
||||
|
||||
if "DELETE FROM house_reliability_checks" in sql:
|
||||
# dedup guard — keep newest only (model: keep 1 per (house, source))
|
||||
h, src = params["h"], params["src"]
|
||||
kept = [r for r in self.reliability if not (r[0] == h and r[1] == src)]
|
||||
kept.append((h, src))
|
||||
self.reliability = kept
|
||||
return _FakeResult()
|
||||
|
||||
# Unhandled SQL → inert result (keeps the fake permissive).
|
||||
return _FakeResult()
|
||||
|
||||
# -- transaction shims -------------------------------------------------
|
||||
def begin_nested(self):
|
||||
return MagicMock()
|
||||
|
||||
def commit(self):
|
||||
pass
|
||||
|
||||
def rollback(self):
|
||||
pass
|
||||
|
||||
|
||||
def _enrichment_with_everything(seed: int = 0) -> NewbuildingEnrichment:
|
||||
"""Build a full enrichment. `seed` shifts review ids + month so distinct ЖК pages
|
||||
produce distinct rows (house_reviews dedups on (source, ext_review_id) globally,
|
||||
not per-house — real pages have unique ids; the seed mimics that)."""
|
||||
month = f"2025-{(seed % 12) + 1:02d}-01"
|
||||
base = 9000 + seed * 10
|
||||
return NewbuildingEnrichment(
|
||||
cian_internal_house_id=12345 + seed,
|
||||
cian_zhk_url=f"https://zhk-test-{seed}-ekb-i.cian.ru/",
|
||||
name="ЖК Тест",
|
||||
realty_valuation_chart=[
|
||||
{
|
||||
"month_date": month,
|
||||
"room_count": "all",
|
||||
"prices_type": "price",
|
||||
"period": "halfYear",
|
||||
"price_per_sqm": 13800000.0,
|
||||
}
|
||||
],
|
||||
reliability_checks=[
|
||||
{"check_name": "Надёжный застройщик", "check_status": "reliable", "details": []}
|
||||
],
|
||||
reviews=[
|
||||
{"id": base + 1, "title": "Отличный ЖК", "rate": 5, "text": "Очень доволен"},
|
||||
{"id": base + 2, "title": "Норм", "rate": 4, "text": "Есть нюансы"},
|
||||
],
|
||||
)
|
||||
|
||||
|
||||
def _fake_save_newbuilding_enrichment(db, house_id, enrichment):
|
||||
"""Stand-in for the real saver: lands price_dynamics + reliability into FakeDB."""
|
||||
for p in enrichment.realty_valuation_chart:
|
||||
if p.get("price_per_sqm") is None:
|
||||
continue
|
||||
db.price_dynamics.add(
|
||||
(
|
||||
house_id,
|
||||
p["month_date"],
|
||||
"cian_realty_valuation",
|
||||
p.get("room_count", "all"),
|
||||
p.get("prices_type", "price"),
|
||||
p.get("period", "halfYear"),
|
||||
)
|
||||
)
|
||||
for c in enrichment.reliability_checks:
|
||||
if c.get("check_name") or c.get("check_status"):
|
||||
db.reliability.append((house_id, "cian_nashdom"))
|
||||
db.commit()
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Pure-unit: _save_cian_reviews mapping (the load-bearing new logic).
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
def test_save_cian_reviews_maps_and_dedups() -> None:
|
||||
db = FakeDB(pending_rows=[])
|
||||
reviews = [
|
||||
{"id": 1, "title": "Хорошо", "rate": 5, "text": "ok"},
|
||||
{"id": 2, "title": "Плохо", "rate": 2, "text": "bad"},
|
||||
]
|
||||
n = _save_cian_reviews(db, house_id=7, reviews=reviews)
|
||||
assert n == 2
|
||||
assert db.reviews[("cian", 1)]["house_id"] == 7
|
||||
assert db.reviews[("cian", 1)]["review_title"] == "Хорошо"
|
||||
|
||||
# Re-run with same ids → UPSERT, no growth (idempotent on (source, ext_review_id)).
|
||||
n2 = _save_cian_reviews(db, house_id=7, reviews=reviews)
|
||||
assert n2 == 2
|
||||
assert len(db.reviews) == 2
|
||||
|
||||
|
||||
def test_save_cian_reviews_skips_entries_without_id() -> None:
|
||||
db = FakeDB(pending_rows=[])
|
||||
reviews = [{"title": "no id", "text": "x"}, {"id": "not-int", "text": "y"}]
|
||||
n = _save_cian_reviews(db, house_id=7, reviews=reviews)
|
||||
assert n == 0
|
||||
assert len(db.reviews) == 0
|
||||
|
||||
|
||||
def test_save_cian_reviews_clamps_bad_score() -> None:
|
||||
db = FakeDB(pending_rows=[])
|
||||
_save_cian_reviews(db, house_id=7, reviews=[{"id": 5, "rate": 99}])
|
||||
assert db.reviews[("cian", 5)]["score"] is None # out of 1..5 → dropped
|
||||
|
||||
|
||||
# ---------------------------------------------------------------------------
|
||||
# Task-level: end-to-end populate + idempotent re-run.
|
||||
# ---------------------------------------------------------------------------
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_dry_run_counts_only() -> None:
|
||||
db = FakeDB(pending_rows=[{"house_id": 1, "cian_zhk_url": "https://zhk-a.cian.ru/"}])
|
||||
with patch(
|
||||
"app.services.scrapers.cian_newbuilding.fetch_newbuilding", new_callable=AsyncMock
|
||||
) as mock_fetch:
|
||||
result = await backfill_newbuilding_enrichment(db, limit=5, dry_run=True)
|
||||
mock_fetch.assert_not_called()
|
||||
assert isinstance(result, NewbuildingEnrichBackfillResult)
|
||||
assert result.cian_houses_total == 1
|
||||
assert result.processed == 0
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_populates_all_three_tables() -> None:
|
||||
db = FakeDB(
|
||||
pending_rows=[
|
||||
{"house_id": 1, "cian_zhk_url": "https://zhk-a.cian.ru/"},
|
||||
{"house_id": 2, "cian_zhk_url": "https://zhk-b.cian.ru/"},
|
||||
]
|
||||
)
|
||||
# Distinct enrichment per house (real ЖК pages have unique review ids / months).
|
||||
by_url = {
|
||||
"https://zhk-a.cian.ru/": _enrichment_with_everything(seed=1),
|
||||
"https://zhk-b.cian.ru/": _enrichment_with_everything(seed=2),
|
||||
}
|
||||
|
||||
async def _fetch(url, **kwargs):
|
||||
return by_url[url]
|
||||
|
||||
with (
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.fetch_newbuilding",
|
||||
side_effect=_fetch,
|
||||
),
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.save_newbuilding_enrichment",
|
||||
side_effect=_fake_save_newbuilding_enrichment,
|
||||
),
|
||||
):
|
||||
result = await backfill_newbuilding_enrichment(db, limit=5, request_delay_sec=0)
|
||||
|
||||
assert result.processed == 2
|
||||
assert result.succeeded == 2
|
||||
assert result.failed_fetch == 0
|
||||
assert result.failed_save == 0
|
||||
# All three tables non-zero.
|
||||
assert len(db.price_dynamics) == 2 # 1 chart point × 2 houses
|
||||
assert len(db.reliability) == 2
|
||||
assert len(db.reviews) == 4 # 2 reviews × 2 houses
|
||||
assert result.price_dynamics_rows == 2
|
||||
assert result.reliability_rows == 2
|
||||
assert result.review_rows == 4
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_force_rerun_no_dup() -> None:
|
||||
"""force=True re-run over the same house must not duplicate any of the 3 tables."""
|
||||
rows = [{"house_id": 1, "cian_zhk_url": "https://zhk-a.cian.ru/"}]
|
||||
db = FakeDB(pending_rows=rows)
|
||||
enr = _enrichment_with_everything()
|
||||
|
||||
with (
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.fetch_newbuilding",
|
||||
new_callable=AsyncMock,
|
||||
return_value=enr,
|
||||
),
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.save_newbuilding_enrichment",
|
||||
side_effect=_fake_save_newbuilding_enrichment,
|
||||
),
|
||||
):
|
||||
await backfill_newbuilding_enrichment(db, limit=5, request_delay_sec=0)
|
||||
pd_after_first = len(db.price_dynamics)
|
||||
rv_after_first = len(db.reviews)
|
||||
|
||||
# Re-run with force=True → re-process the same house.
|
||||
result2 = await backfill_newbuilding_enrichment(
|
||||
db, limit=5, force=True, request_delay_sec=0
|
||||
)
|
||||
|
||||
assert len(db.price_dynamics) == pd_after_first # ON CONFLICT dedup
|
||||
assert len(db.reviews) == rv_after_first # (source, ext_review_id) dedup
|
||||
assert len(db.reliability) == 1 # dedup guard collapsed to newest
|
||||
assert result2.processed == 1
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_default_rerun_skips_and_no_reliability_dup() -> None:
|
||||
"""force=False resumability: an already-enriched house (pd+reliability present, NO
|
||||
reviews — the common Cian case) is skipped on the next run, so a plain re-run neither
|
||||
re-fetches nor accumulates duplicate reliability rows.
|
||||
"""
|
||||
rows = [{"house_id": 1, "cian_zhk_url": "https://zhk-a.cian.ru/"}]
|
||||
db = FakeDB(pending_rows=rows)
|
||||
enr = _enrichment_with_everything()
|
||||
enr.reviews = [] # mimic a ЖК whose initialState carries no reviews
|
||||
|
||||
fetch_calls = {"n": 0}
|
||||
|
||||
async def _fetch(url, **kwargs):
|
||||
fetch_calls["n"] += 1
|
||||
return enr
|
||||
|
||||
with (
|
||||
patch("app.services.scrapers.cian_newbuilding.fetch_newbuilding", side_effect=_fetch),
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.save_newbuilding_enrichment",
|
||||
side_effect=_fake_save_newbuilding_enrichment,
|
||||
),
|
||||
):
|
||||
# First run enriches.
|
||||
r1 = await backfill_newbuilding_enrichment(db, limit=5, request_delay_sec=0)
|
||||
# FakeDB._pending_rows is static, so the SELECT still returns the house; the task's
|
||||
# per-house guard must skip it now that pd+reliability exist.
|
||||
r2 = await backfill_newbuilding_enrichment(db, limit=5, request_delay_sec=0)
|
||||
|
||||
assert r1.succeeded == 1
|
||||
assert fetch_calls["n"] == 1 # second run skipped → no extra fetch
|
||||
assert r2.skipped_already_enriched == 1
|
||||
assert r2.succeeded == 0
|
||||
assert len(db.reliability) == 1 # no duplicate appended on re-run
|
||||
|
||||
|
||||
@pytest.mark.asyncio
|
||||
async def test_backfill_fetch_failure_does_not_abort_batch() -> None:
|
||||
"""One house returns None (captcha) → counted as fetch-fail, batch continues."""
|
||||
db = FakeDB(
|
||||
pending_rows=[
|
||||
{"house_id": 1, "cian_zhk_url": "https://zhk-a.cian.ru/"},
|
||||
{"house_id": 2, "cian_zhk_url": "https://zhk-b.cian.ru/"},
|
||||
]
|
||||
)
|
||||
enr = _enrichment_with_everything()
|
||||
|
||||
async def _fetch(url, **kwargs):
|
||||
return None if "zhk-a" in url else enr
|
||||
|
||||
with (
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.fetch_newbuilding",
|
||||
side_effect=_fetch,
|
||||
),
|
||||
patch(
|
||||
"app.services.scrapers.cian_newbuilding.save_newbuilding_enrichment",
|
||||
side_effect=_fake_save_newbuilding_enrichment,
|
||||
),
|
||||
):
|
||||
result = await backfill_newbuilding_enrichment(db, limit=5, request_delay_sec=0)
|
||||
|
||||
assert result.processed == 2
|
||||
assert result.failed_fetch == 1
|
||||
assert result.succeeded == 1
|
||||
assert len(db.reviews) == 2 # only house 2 enriched
|
||||
Loading…
Add table
Reference in a new issue