lekss361
50684ce87e
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240 lines
13 KiB
Python
240 lines
13 KiB
Python
"""Daily recompute of the asking→sold correction ratios (#648 Stage 4).
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ПРОБЛЕМА: asking_to_sold_ratios (migration 080) засеяна один раз derivation-CTE
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(медиана SOLD ДКП за 12 мес vs медиана ASKING активных listings, per-rooms + global -1
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fallback). Оценщик (estimator.py, Stage 3) читает её per-estimate (cache 300s) и домножает
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asking-median прогноз на sold/asking. По мере ночного импорта новых ДКП-сделок
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(rosreestr_dkp_import) ratio устаревает — нужен периодический пересчёт по тому же derivation.
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TRUE-MIRROR REFRESH (флаг database-expert): 080-seed использовал ON CONFLICT DO UPDATE,
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который при повторном прогоне ОБНОВЛЯЕТ существующие строки, но НЕ удаляет per-rooms строки
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бакетов, упавших ниже порога 30/30 на более позднем прогоне (StaLE rows). Поэтому refresh
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сначала DELETE FROM asking_to_sold_ratios WHERE district = '' (все строки #648), затем
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заново гоняет ту же 080-derivation INSERT...SELECT. DELETE+INSERT в ОДНОЙ транзакции
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(атомарно — таблица никогда не пуста mid-refresh). После commit таблица == свежий re-seed.
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Задача синхронная (DB-only, никаких внешних HTTP-вызовов) — запускается in-app
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scheduler'ом через trigger_asking_to_sold_ratio_run() (scheduler.py), по образцу
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snapshot_listing_sources / import_rosreestr_dkp (sync task в run_in_executor).
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Окно расписания 06:00-07:00 UTC — ПОСЛЕ rosreestr_dkp_import (04:00-06:00 UTC), чтобы
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refresh потреблял свежие ДКП-сделки того же дня.
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SQL derivation ниже — БАЙТ-В-БАЙТ та же логика, что seed в data/sql/080_asking_to_sold_ratios.sql
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(deal_side / ask_side / per_bucket + deal_global / ask_global / global_row: трейлинг-12мес
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окно, ppm²-полоса [_PPM2_MIN, settings.asking_ratio_ppm2_max] (default [30000,1200000]),
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бакет LEAST(GREATEST(rooms,0),4), порог n_deals>=30 AND n_listings>=30 для per_rooms,
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global -1 строка всегда). ON CONFLICT убран — DELETE идёт первым,
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конфликтов нет (повторный прогон в одной tx невозможен, refresh = re-seed по семантике).
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"""
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from __future__ import annotations
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import logging
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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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# Нижняя граница ppm² — отсекает нежилые/технические сделки; не меняется.
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_PPM2_MIN: int = 30_000
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# Верхняя граница берётся из settings.asking_ratio_ppm2_max (default 1_200_000).
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# QA-note: точное значение сверить с `SELECT max(price_per_m2) FROM deals
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# WHERE source='rosreestr'` на проде — ceiling должен быть > max(ppm²) premium-сделок.
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logger = logging.getLogger(__name__)
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# ── True-mirror cleanup: drop all #648 rows before re-derivation ──────────────
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# district = '' — все строки #648 (district зарезервирован под #647, пока всегда '').
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# Удаляем ПЕРЕД re-derive, чтобы бакеты, упавшие ниже порога 30/30, не оставались
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# stale (ON CONFLICT DO UPDATE такие строки бы не тронул). В одной транзакции с INSERT.
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_DELETE_SQL = text(
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"""
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DELETE FROM asking_to_sold_ratios
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WHERE district = ''
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"""
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)
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# ── Derivation + re-seed (БАЙТ-В-БАЙТ из 080, ON CONFLICT убран — DELETE идёт первым) ──
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# deal_side / ask_side / per_bucket + deal_global / ask_global / global_row:
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# sold_median = percentile_cont(0.5) по deals.price_per_m2 (source='rosreestr',
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# ppm² ∈ [_PPM2_MIN, settings.asking_ratio_ppm2_max], deal_date >= CURRENT_DATE − 12 months),
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# бакет LEAST(GREATEST(rooms,0),4).
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# ask_median = percentile_cont(0.5) по listings.price_per_m2
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# (is_active, та же ppm²-полоса [_PPM2_MIN, asking_ratio_ppm2_max]).
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# per_rooms строки — только при n_deals>=30 AND n_listings>=30 AND ask>0 AND sold>0.
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# global -1 строка (basis='global_fallback') — всегда (если ask>0 AND sold>0). window_months=12.
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# Порог/окно — литералы; ppm²-полоса передаётся bind-параметрами :ppm2_min/:ppm2_max
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# (безопасно от SQL-инъекций; CAST не нужен — psycopg v3 передаёт int напрямую).
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_REDERIVE_SQL = text(
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"""
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WITH
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-- SOLD медианы по бакетам комнат за трейлинг-12мес (ДКП Росреестра).
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deal_side AS (
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SELECT
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LEAST(GREATEST(rooms, 0), 4) AS rooms_bucket,
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percentile_cont(0.5) WITHIN GROUP (ORDER BY price_per_m2) AS sold_median,
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COUNT(*) AS n_deals
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FROM deals
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WHERE source = 'rosreestr'
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AND rooms IS NOT NULL
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AND price_per_m2 BETWEEN :ppm2_min AND :ppm2_max
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AND deal_date >= CURRENT_DATE - INTERVAL '12 months'
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GROUP BY LEAST(GREATEST(rooms, 0), 4)
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),
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-- ASKING медианы по бакетам комнат среди ТЕКУЩИХ активных объявлений.
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ask_side AS (
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SELECT
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LEAST(GREATEST(rooms, 0), 4) AS rooms_bucket,
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percentile_cont(0.5) WITHIN GROUP (ORDER BY price_per_m2) AS ask_median,
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COUNT(*) AS n_listings
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FROM listings
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WHERE is_active
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AND rooms IS NOT NULL
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AND price_per_m2 BETWEEN :ppm2_min AND :ppm2_max
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-- novostroyki guard (#1186): NULL = legacy вторичка до м.011
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AND (listing_segment IS NULL OR listing_segment = 'vtorichka')
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GROUP BY LEAST(GREATEST(rooms, 0), 4)
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),
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-- Per-rooms строки: только бакеты с обеими сторонами, прошедшие порог 30/30 и ask>0.
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-- Тонкие бакеты (n<30) сюда НЕ попадают → estimator делает fallback на -1.
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per_bucket AS (
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SELECT
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d.rooms_bucket,
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''::text AS district,
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(d.sold_median / a.ask_median)::numeric AS ratio,
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round(d.sold_median)::bigint AS sold_median,
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round(a.ask_median)::bigint AS ask_median,
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d.n_deals::int AS n_deals,
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a.n_listings::int AS n_listings,
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12 AS window_months,
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'per_rooms'::text AS basis
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FROM deal_side d
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JOIN ask_side a USING (rooms_bucket)
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WHERE d.n_deals >= 30
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AND a.n_listings >= 30
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AND a.ask_median IS NOT NULL
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AND a.ask_median > 0
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AND d.sold_median IS NOT NULL -- divide-safety (порог n_deals>=30 гарантирует)
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AND d.sold_median > 0
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),
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-- SOLD медиана по ВСЕМ комнатам (без бакет-фильтра) за трейлинг-12мес — для global row.
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deal_global AS (
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SELECT
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percentile_cont(0.5) WITHIN GROUP (ORDER BY price_per_m2) AS sold_median,
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COUNT(*) AS n_deals
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FROM deals
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WHERE source = 'rosreestr'
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AND rooms IS NOT NULL
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AND price_per_m2 BETWEEN :ppm2_min AND :ppm2_max
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AND deal_date >= CURRENT_DATE - INTERVAL '12 months'
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),
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-- ASKING медиана по ВСЕМ активным listings (без бакет-фильтра) — для global row.
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ask_global AS (
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SELECT
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percentile_cont(0.5) WITHIN GROUP (ORDER BY price_per_m2) AS ask_median,
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COUNT(*) AS n_listings
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FROM listings
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WHERE is_active
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AND rooms IS NOT NULL
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AND price_per_m2 BETWEEN :ppm2_min AND :ppm2_max
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-- novostroyki guard (#1186): NULL = legacy вторичка до м.011
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AND (listing_segment IS NULL OR listing_segment = 'vtorichka')
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),
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-- Global fallback строка rooms_bucket=-1 (пишется всегда, если ask>0).
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global_row AS (
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SELECT
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-1 AS rooms_bucket,
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''::text AS district,
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(d.sold_median / a.ask_median)::numeric AS ratio,
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round(d.sold_median)::bigint AS sold_median,
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round(a.ask_median)::bigint AS ask_median,
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d.n_deals::int AS n_deals,
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a.n_listings::int AS n_listings,
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12 AS window_months,
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'global_fallback'::text AS basis
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FROM deal_global d
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CROSS JOIN ask_global a
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WHERE a.ask_median IS NOT NULL
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AND a.ask_median > 0
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AND d.sold_median IS NOT NULL -- защита от пустого окна сделок (иначе ratio=NULL)
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AND d.sold_median > 0
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)
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INSERT INTO asking_to_sold_ratios (
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rooms_bucket, district, ratio, sold_median, ask_median,
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n_deals, n_listings, window_months, basis
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)
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SELECT rooms_bucket, district, ratio, sold_median, ask_median,
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n_deals, n_listings, window_months, basis FROM global_row
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UNION ALL
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SELECT rooms_bucket, district, ratio, sold_median, ask_median,
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n_deals, n_listings, window_months, basis FROM per_bucket
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"""
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)
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# ── Post-insert counters ──────────────────────────────────────────────────────
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# Считываем итог из таблицы (всё ещё в той же транзакции — до commit): сколько строк
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# записано всего, сколько per_rooms, был ли использован global -1 fallback.
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_COUNTERS_SQL = text(
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"""
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SELECT
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COUNT(*) AS rows_written,
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COUNT(*) FILTER (WHERE basis = 'per_rooms') AS per_rooms_rows,
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COUNT(*) FILTER (WHERE rooms_bucket = -1) AS used_global_fallback
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FROM asking_to_sold_ratios
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WHERE district = ''
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"""
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)
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def recompute_asking_to_sold_ratios(db: Session, run_id: int) -> dict[str, int]:
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"""Пересчитать asking_to_sold_ratios (TRUE-MIRROR refresh, #648 Stage 4).
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Sync (вызывается scheduler-триггером в executor, как snapshot_listing_sources).
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В ОДНОЙ транзакции (атомарно — таблица никогда не пуста mid-refresh):
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1. DELETE FROM asking_to_sold_ratios WHERE district = '' — снести stale-строки.
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2. Заново прогнать 080-derivation INSERT...SELECT (per_rooms при 30/30 + global -1).
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Затем counters из таблицы, commit, mark_done. Семантика == re-seed миграции 080.
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Финализирует scrape_runs (mark_done / mark_failed) и пишет counters.
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Returns {"rows_written": N, "per_rooms_rows": M, "used_global_fallback": 0|1}.
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"""
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counters: dict[str, int] = {
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"rows_written": 0,
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"per_rooms_rows": 0,
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"used_global_fallback": 0,
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}
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try:
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# DELETE + re-derive INSERT в одной транзакции (НЕ коммитим между ними —
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# таблица не должна остаться пустой, если INSERT упадёт).
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db.execute(_DELETE_SQL)
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db.execute(
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_REDERIVE_SQL,
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{"ppm2_min": _PPM2_MIN, "ppm2_max": settings.asking_ratio_ppm2_max},
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)
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row = db.execute(_COUNTERS_SQL).mappings().first()
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if row is not None:
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counters["rows_written"] = int(row["rows_written"] or 0)
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counters["per_rooms_rows"] = int(row["per_rooms_rows"] or 0)
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counters["used_global_fallback"] = int(row["used_global_fallback"] or 0)
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db.commit()
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runs_mod.mark_done(db, run_id, counters)
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logger.info(
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"recompute_asking_to_sold_ratios run_id=%d done: "
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"rows_written=%d per_rooms_rows=%d used_global_fallback=%d",
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run_id,
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counters["rows_written"],
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counters["per_rooms_rows"],
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counters["used_global_fallback"],
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)
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return counters
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except Exception as exc:
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logger.exception("recompute_asking_to_sold_ratios run_id=%d failed", run_id)
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db.rollback()
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runs_mod.mark_failed(db, run_id, str(exc)[:1000], counters)
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raise
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