feat(tradein/db): premium_houses materialized view from listing concentration (#2002)
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2 changed files with 78 additions and 6 deletions
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@ -8,6 +8,7 @@ in tradein-mvp/backend/app/). This module provides both:
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NEEDS COORDINATION: main session must decide whether to bootstrap Celery in tradein-mvp
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NEEDS COORDINATION: main session must decide whether to bootstrap Celery in tradein-mvp
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or run via external scheduler (systemd timer / OS cron). Until then, no Beat schedule.
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or run via external scheduler (systemd timer / OS cron). Until then, no Beat schedule.
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"""
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"""
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from __future__ import annotations
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from __future__ import annotations
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import logging
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import logging
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@ -21,20 +22,35 @@ logger = logging.getLogger(__name__)
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def refresh_search_matview() -> None:
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def refresh_search_matview() -> None:
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"""REFRESH MATERIALIZED VIEW CONCURRENTLY listings_search_mv (psycopg v3, sync).
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"""REFRESH MATERIALIZED VIEW CONCURRENTLY listings_search_mv + premium_houses.
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Logs duration. Idempotent. Safe to run during read traffic (CONCURRENTLY).
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psycopg v3, sync. Logs duration. Idempotent. Safe to run during read traffic
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(CONCURRENTLY). premium_houses (#2002) derives from `listings`, so it is refreshed
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right after the search MV in the same session. Each MV is refreshed independently —
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a failure on one is logged and does not abort the other (autocommit, so a failed
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REFRESH does not leave the connection in an aborted transaction).
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"""
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"""
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start = time.monotonic()
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start = time.monotonic()
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# DATABASE_URL is SQLAlchemy dialect form (postgresql+psycopg://...) in tradein-mvp
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# DATABASE_URL is SQLAlchemy dialect form (postgresql+psycopg://...) in tradein-mvp
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# (see tradein-mvp/docker-compose.prod.yml). libpq / psycopg.connect() accepts only
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# (see tradein-mvp/docker-compose.prod.yml). libpq / psycopg.connect() accepts only
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# postgresql:// or postgres:// — strip the +psycopg dialect prefix.
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# postgresql:// or postgres:// — strip the +psycopg dialect prefix.
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dsn = settings.database_url.replace("postgresql+psycopg://", "postgresql://", 1)
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dsn = settings.database_url.replace("postgresql+psycopg://", "postgresql://", 1)
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# CONCURRENTLY requires a UNIQUE index on each MV (listings_search_mv,
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# premium_houses_house_id_uidx). Order matters: premium_houses depends on the same
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# `listings` rows, so refresh it after the search MV is fresh.
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matviews = ("listings_search_mv", "premium_houses")
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with psycopg.connect(dsn, autocommit=True) as conn:
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with psycopg.connect(dsn, autocommit=True) as conn:
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with conn.cursor() as cur:
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for mv in matviews:
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cur.execute("REFRESH MATERIALIZED VIEW CONCURRENTLY listings_search_mv")
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mv_start = time.monotonic()
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elapsed = time.monotonic() - start
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try:
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logger.info("listings_search_mv refresh completed in %.2fs", elapsed)
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with conn.cursor() as cur:
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cur.execute(f"REFRESH MATERIALIZED VIEW CONCURRENTLY {mv}")
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except Exception:
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# Don't let one MV's failure skip the others; surface for alerting.
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logger.exception("%s refresh failed", mv)
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else:
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logger.info("%s refresh completed in %.2fs", mv, time.monotonic() - mv_start)
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logger.info("matview refresh batch completed in %.2fs", time.monotonic() - start)
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# Celery-task wrapper — only registers if celery_app exists.
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# Celery-task wrapper — only registers if celery_app exists.
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56
tradein-mvp/backend/data/sql/139_premium_houses.sql
Normal file
56
tradein-mvp/backend/data/sql/139_premium_houses.sql
Normal file
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@ -0,0 +1,56 @@
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-- 139_premium_houses.sql
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-- Purpose: premium_houses materialized view — premium / elite EKB buildings
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-- identified by listing concentration (#2002, premium-building identification).
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--
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-- Rationale (#2002):
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-- We flag a house as "premium" by the concentration of expensive listings on it.
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-- Validated query returns ~297 houses that together cover ~65% of all >=20M RUB
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-- elite listings. A house qualifies when it has a meaningful sample (n >= 4 active
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-- listings with sane price_per_m2) AND either:
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-- - a high median price_per_m2 (>= 220000 RUB/m2), OR
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-- - at least 3 listings priced >= 20M RUB (n_elite >= 3).
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-- price_per_m2 is clamped to [100000, 800000] to drop scrape garbage / mis-parsed
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-- areas before aggregating, so the median is robust.
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--
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-- house_id dupes: house_dedup is imperfect, so the same physical building can appear
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-- under several house_id values. That is FINE here — we deliberately keep every
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-- variant in the set; dropping dupes would only shrink coverage, never improve it.
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-- The unique index is on house_id (each MV row is one house_id), not on a physical
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-- building, so distinct house_id rows never collide.
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--
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-- Refresh: refreshed by the existing MV-refresh task (app/tasks/refresh_search_matview.py,
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-- scheduled as `refresh_search_matview` in scrape_schedules) right AFTER
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-- listings_search_mv — premium_houses derives from `listings`, so refreshing it once
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-- the search MV is fresh keeps both in step. REFRESH ... CONCURRENTLY requires the
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-- UNIQUE index below.
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--
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-- Dependencies: 002_core_tables.sql (listings: house_id_fk, price_rub, price_per_m2,
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-- area_m2, is_active).
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-- Deploy order: after 002_core_tables.sql. No backend schema coupling.
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-- Re-run safe: CREATE MATERIALIZED VIEW IF NOT EXISTS + CREATE UNIQUE INDEX IF NOT EXISTS.
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-- No DROP — dropping would break in-flight REFRESH ... CONCURRENTLY and momentarily
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-- delete the object during deploy.
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BEGIN;
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CREATE MATERIALIZED VIEW IF NOT EXISTS premium_houses AS
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WITH lh AS (
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SELECT l.house_id_fk AS house_id,
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count(*) AS n,
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count(*) FILTER (WHERE l.price_rub >= 20000000) AS n_elite,
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percentile_cont(0.5) WITHIN GROUP (ORDER BY l.price_per_m2)
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FILTER (WHERE l.price_per_m2 BETWEEN 100000 AND 800000) AS med_ppm2
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FROM listings l
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WHERE l.is_active AND l.house_id_fk IS NOT NULL AND l.area_m2 > 0
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AND l.price_per_m2 BETWEEN 100000 AND 800000
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GROUP BY l.house_id_fk
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)
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SELECT house_id, n, n_elite, round(med_ppm2)::int AS med_ppm2
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FROM lh
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WHERE n >= 4 AND (med_ppm2 >= 220000 OR n_elite >= 3);
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-- UNIQUE index is mandatory for REFRESH MATERIALIZED VIEW CONCURRENTLY.
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CREATE UNIQUE INDEX IF NOT EXISTS premium_houses_house_id_uidx
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ON premium_houses (house_id);
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COMMIT;
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