gendesign/tradein-mvp/backend/app/tasks/osm_poi_ekb_refresh.py
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feat(tradein): location-coef MVP через FDW-мост к OSM POI Птицы (#2045)
Финальный PR issue #2045 (BE-3): GET /api/v1/trade-in/location-coef для
LocationDrawer. FDW foreign table -> локальное зеркало osm_poi_ekb_local
(TRUNCATE+INSERT, тот же паттерн что cad_buildings_local/cadastral_geo_match,
избегает ~1.16s/row FDW round-trip) -> straight-line POI-скоринг, портированный
из Site Finder poi_score.py::compute_poi_weighted_top7 (CATEGORY_WEIGHTS as-is,
радиус 1200м для квартир вместо Ptica 2000м для участков). score->coef -
новая MVP-эвристика (0.95..1.05, не откалибрована на реальных дельтах).

Graceful fallback (не 500, не фабрикуем факторы): пустая/не отрефрешенная
osm_poi_ekb_local или отсутствие lat/lon у оценки -> coef=1.0, factors=[],
geo_source="unavailable".

Scheduler: source=osm_poi_ekb_refresh, daily, зарегистрирован и в боевом
dispatch (scheduler.py), и в kit-registry (product_handlers.py) - иначе
test_kit_registry_completeness падает на ship-dark инварианте (#2192).

Frontend wiring (mappers.ts/LocationDrawer.tsx) - вне scope, отдельная задача
после проверки endpoint'а curl'ом на деплое.
2026-07-03 23:44:55 +03:00

109 lines
4 KiB
Python

"""OSM POI local-mirror refresh (#2045 BE-3, LocationDrawer location-coef).
Populates `osm_poi_ekb_local` (empty at deploy, migration 169) via a single bulk scan of the
`gendesign_osm_poi_ekb` FDW foreign table (migration 168 — live view of gendesign's
`osm_poi_ekb` table, Site Finder's OSM POI registry, GRANTed to `tradein_fdw_reader` in PR-A
of #2045, already merged + deployed on gendesign).
WHY a local mirror (perf fact measured for the analogous gendesign_cad_buildings FDW — see
`app/tasks/cadastral_geo_match.py`): a per-request FDW nearest-POI query pays a per-row FDW
round-trip (~1.16s/row without a geom index on the remote table) — UNUSABLE for a synchronous
endpoint (`GET /api/v1/trade-in/location-coef`). We materialize the FDW once (single bulk
scan) into `osm_poi_ekb_local` with a real Point geom + GIST index, then
`app/services/location_coef.py` runs fast LOCAL ST_DWithin/ST_Distance queries per estimate.
Scheduler source='osm_poi_ekb_refresh' (daily — OSM POI data changes rarely). Pure internal
DB op — one FDW read + local TRUNCATE+INSERT, no HTTP/anti-bot.
psycopg v3: app SQL uses CAST(:x AS type), never :x::type.
"""
from __future__ import annotations
import logging
import time
from dataclasses import dataclass, field
from sqlalchemy import text
from sqlalchemy.orm import Session
from app.services import scrape_runs as runs_mod
logger = logging.getLogger(__name__)
def refresh_osm_poi_ekb_local(db: Session) -> int:
"""TRUNCATE osm_poi_ekb_local; bulk INSERT from gendesign_osm_poi_ekb FDW.
Single FDW scan (no per-row round-trips). Builds a Point(4326) geom from lon/lat.
Idempotent: TRUNCATE+INSERT in one transaction — the table is fully replaced atomically.
Returns the number of rows loaded.
"""
db.execute(text("TRUNCATE osm_poi_ekb_local"))
db.execute(
text(
"""
INSERT INTO osm_poi_ekb_local (category, name, lat, lon, geom)
SELECT
category, name, lat, lon,
ST_SetSRID(ST_MakePoint(lon, lat), 4326)
FROM gendesign_osm_poi_ekb
WHERE lat IS NOT NULL
AND lon IS NOT NULL
"""
)
)
count = db.execute(text("SELECT count(*) FROM osm_poi_ekb_local")).scalar() or 0
db.commit()
logger.info("refresh_osm_poi_ekb_local: loaded %d rows from FDW", count)
return int(count)
@dataclass
class OsmPoiRefreshResult:
poi_loaded: int = 0 # rows in osm_poi_ekb_local after refresh
duration_sec: float = field(default=0.0)
def to_counters(self) -> dict[str, int]:
return {
"poi_loaded": self.poi_loaded,
"duration_sec": int(self.duration_sec),
}
def run_osm_poi_ekb_refresh(db: Session, *, run_id: int, params: dict) -> OsmPoiRefreshResult:
"""Run-lifecycle wrapper for the OSM POI local-mirror refresh (scheduler entrypoint).
Launched by the in-app scheduler (source='osm_poi_ekb_refresh') via
trigger_osm_poi_ekb_refresh_run, or manually. No params consumed — single unconditional
bulk refresh (`params` accepted for scheduler-signature compatibility / future use).
Finalises scrape_runs (mark_done / mark_failed) with counters.
"""
counters: dict[str, int] = {"poi_loaded": 0}
start = time.monotonic()
try:
runs_mod.update_heartbeat(db, run_id, counters)
loaded = refresh_osm_poi_ekb_local(db)
result = OsmPoiRefreshResult(poi_loaded=loaded, duration_sec=time.monotonic() - start)
counters = result.to_counters()
runs_mod.mark_done(db, run_id, counters)
logger.info(
"run_osm_poi_ekb_refresh: run_id=%d DONE poi_loaded=%d duration=%.1fs",
run_id,
result.poi_loaded,
result.duration_sec,
)
return result
except Exception as exc:
logger.exception("run_osm_poi_ekb_refresh: run_id=%d FAILED", run_id)
try:
db.rollback()
except Exception:
pass
runs_mod.mark_failed(db, run_id, str(exc)[:1000], counters)
raise