Add _extract_obj_class_from_ai() with regex patterns for Комфорт/Бизнес/Премиум/Элит/Стандарт.
_norm_object() uses it as fallback; objClass from API still takes priority if ever returned.
Add backfill SQL 105 to retroactively populate existing rows from raw JSON payloads.
Coverage: ~1806/4548 rows will be filled; remainder NULL is expected (Нежилое/no AI desc).
Replace unweighted AVG(deals_total_avg_area_m2) and AVG(deals_total_avg_price_thousand_rub_per_m2)
with SUM(x * count) / NULLIF(SUM(count), 0) pattern in _INLINE_VELOCITY_SQL.
Months with zero deals no longer dilute the weighted mean 2-4x.
P0 follow-up to PR #290 (mv fix, issue #21).
When Objective mapping coverage falls below 50% of competitors in the radius,
fall back to rosreestr_deals JOIN on the parcel's cadastral quarter. Audit shows
237/237 EKB quarters (100%) have rosreestr data for the last 12 months, compared
to <20% Objective coverage before bulk mapping.
- velocity.py: add _compute_rosreestr_fallback(), _OBJECTIVE_COVERAGE_MIN_RATIO
constant, velocity_source field on VelocityResult (objective/rosreestr_fallback/none)
- parcels.py: extract cad_quarter from cad_num, pass to compute_velocity
- site-finder.ts: add velocity_source field to Velocity interface
- VelocityBlock.tsx: badge "Источник: квартальные сделки" when rosreestr_fallback
Epic #271 item #17
- v_bucket_success_score HAVING >= 30 → >= 15 so sparse districts
(Кировский etc.) are no longer silently excluded from the block
- Backend: SUCCESS_REC_MIN_DEALS=15, SUCCESS_REC_STRONG_DEALS=30;
data_confidence='weak' (15-29 deals) or 'strong' (≥30) in response
- TS type ParcelSuccessRecommendation: add data_confidence literal
- SuccessRecommendationBlock: amber badge for weak, all hex → CSS tokens,
emoji star removed (ui-ux.md), empty-state text min 30→15
- Add AUTO_ACCEPT_THRESHOLD_V2 = 0.80 constant to objective_backfill.py
- Add min_threshold param to find_match_candidates() (default REVIEW_THRESHOLD=0.6)
- Add match_method param to auto_apply_matches() (default 'fuzzy_trgm')
- Add ?v2=true query param to POST /api/v1/admin/etl/objective-backfill
- v2 mode: threshold=0.80, method='fuzzy_v2', search from 0.80 (not 0.60)
- Return type widened to dict[str,object] to include threshold_used + match_method_used
DB audit: 1068 unmapped EKB objs; v1 adds ~133 rows, v2 adds ~47 more.
Expected coverage: 8.5% → ~20% after sequential v1+v2 runs on prod.
Run: POST /objective-backfill (v1) then POST /objective-backfill?v2=true (v2).
Part of task #44 Part A, epic #271.
Replace INNER JOIN on objective_complex_mapping with LEFT JOIN approach:
competitors without mapping now return velocity=0 with
velocity_data_available=False instead of being silently dropped.
UI: VelocityBlock shows 'нет данных velocity' badge when flag is False
and hides the gauge (meaningless zero). TS type updated (additive optional
field, backward compat).
Audit (EKB, region_cd=66): mapped=129, unmapped=1387, total=1516.
Closes#271 item #10
Round 1 (commit bcd7dc8) был broken: на 2-bucket входах surplus уходил в free
полностью без учёта capacity → free превышал cap → следующая итерация
clamp'ировала его и наоборот. Infinite oscillation в FastAPI handler.
Round 2 fix per review BLOCK (#282 comment):
- Surplus распределяется пропорционально available capacity (cap - v),
не текущему v. Free никогда не вылетит выше cap.
- free = строго < cap (не <=) — иначе деление на 0 capacity.
- Hard guard `for _ in range(N+1)` — гарантированно завершается.
- Pathological (surplus > total_capacity): возвращаем оригинальный pct_map
+ cap_skipped=True (sum=100 invariant сохранён).
- Hamilton round вынесен в _hamilton_round() helper.
Tests:
- 2-bucket cases (90/10, 70/30, 99/1) expected cap_skipped=True
- test_cap_iteration_count_bounded — все pathological завершаются < 100ms
- All 13 cases verified standalone (3 fast-path + 7 reproduced + 3 pathological)
_build_recommendation зеркалило рынок через чистый Hamilton apportionment.
Добавлен _cap_and_redistribute: bucket >35% clamp к 35%, surplus
пропорционально перераспределяется в остальные bucket'ы (Hamilton финальный
pass гарантирует sum=100). Pathological case (все bucket'ы >35%) — warning
в лог, cap пропускается. Frontend: warning banner при maxPct>60 в
RecommendationCard (Tailwind amber utilities, без inline hex).
DOM.РФ API classifies euro-format flats (26-50м²) as rooms=2.
_SUPPLY_BATCH_SQL now maps:
rooms=2 + area<35 → 'euro-1'
rooms=2 + area<50 → 'euro-2'
before the generic rooms IN (1,2,3) branch.
Audit: 4 140 units rooms=2 + area<35 in domrf_kn_flats were inflating
the supply count for genuine 2-room apartments (median 57м²).
euro buckets have no velocity counterpart in objective_corpus_room_month
so they are filtered out of top_layouts by min_velocity.
Also extends RoomBucket Literal and room_bucket_from_flat() in
layout_signature.py with the new euro-1/euro-2 values.
Closes#271 item 8
ekb_districts.median_price_per_m2 was populated from a 24-month window.
LEFT JOIN mv_quarter_price_per_m2 on the cad quarter and COALESCE(median_12m,
fallback) so the API returns the 12-month median where available.
Frontend OverviewTab adds a "(12 мес)" hint next to the value.
Closes#271 item 7
Resolve conflict in best_layouts.py: keep SF-01 inline velocity
(deals_window numerator) + add SF-05 sold_pct clamp at 100% and
is_oversold flag from main.
Раньше _VELOCITY_DIVISORS делил агрегаты mv_layout_velocity (24 мес)
на 4/12 для quarter/year, не меняя реальное окно данных. Теперь
inline SQL из objective_corpus_room_month с CAST(:window_interval AS interval).
velocity_per_month = deals_window / months_in_window (1.0/3.0/12.0).
Разные time_window → разные строки из БД → разный mix/velocity/jk_count.
Closes (epic part) #271 item 1
Symptom: sold_pct_of_supply = sum_deals_24mo / supply_count_snapshot * 100
yields >100% (e.g. 199%) for fast-selling small formats due to incompatible
time windows (24-month deals vs point-in-time supply snapshot).
Option A (hotfix): clamp to 100.0, expose is_oversold=True for UI badge.
- best_layouts.py: compute sold_pct_raw, clamp with min(..., 100.0),
set is_oversold = raw > 100%
- parcel.py TopLayoutRow: add is_oversold: bool field
- best-layouts.ts TopLayoutRow: add is_oversold: boolean
- BestLayoutsBlock.tsx: show warn badge ">100%" when is_oversold=True
- tests: two new cases — raw 199% clamps + is_oversold=True;
raw 50% passes through + is_oversold=False
Closes (epic part) #271 item 5
После Sub-PR B (#260, merged 8ebcd15) переключения search_by_quarter на
grid-walk dispatch — beat schedule безопасно re-enable'ить:
- harvest_quarter возвращает полноценные dumps (territorial_zones + ЗОУИТ +
risk zones + engineering structures) вместо 0-3 features
- per-instance semaphore (PR #260) защищает от cross-loop binding bug
- soft/hard time_limit 600/900s — задача успевает завершиться
Schedule: Mon 01:00 UTC (04:00 МСК), batch_size=50 ограничивает WAF burst,
max_age_days=90 для регулярного refresh + новые quarters (fetched_at IS NULL).
Полный ЕКБ back-fill (11k+ quarters в cad_quarters_geom) займёт несколько
недель при batch_size=50/week; в production будет ускорено manual trigger
admin endpoint'ом если нужно.
Closes#231.
Re-review feedback (PR #260 head 8191a85):
1. tests/scrapers/test_nspd_bulk_client.py:360 — test referenced bulk_mod._SEMAPHORE
which was renamed to _SEMAPHORE_LIMIT in previous commit. AttributeError на
полном pytest run. Заменено: assert bulk_mod._SEMAPHORE_LIMIT == 3 (smoke).
max_concurrent <= 3 уже валидирует throttling — capacity check был лишним.
2. app/services/scrapers/nspd_client.py docstrings (lines 483, 506) — обновлены
ссылки NSPDBulkClient._SEMAPHORE(3) → NSPDBulkClient._sem (per-instance,
capacity=3) чтобы соответствовать новой архитектуре.
Проблема: POST /custom-pois возвращал 201 с id=N, но row не сохранялась
в БД — user_custom_pois оставалась пустой после request close.
Симптом возникает если service-функция не вызывает db.commit() явно:
get_db.finally → db.close() без commit → psycopg3 rollbacks pending tx.
Код (#257) содержит db.commit() во всех 3 мутациях, но тесты полностью
мокировали service layer через patch() — regression в commit не ловился.
Fix: добавлены 6 service-level тестов с паттерном "два сеанса":
- MagicMock(db) + db.commit.assert_called_once() для create/update/delete
- db.commit.assert_not_called() для not-found и empty-payload случаев
Closes#261
PR #260 second-opinion review 🔴 BLOCK → fixes:
1. nspd_bulk_client.py: _SEMAPHORE module-level → per-instance self._sem
создаётся в __aenter__ под текущий event loop. Sequential asyncio.run()
в search_by_quarter (11 layers × asyncio.run() per layer) bind'ил
module-level semaphore к first loop'у → RuntimeError на втором вызове →
все cells return_exceptions=True проглатывали → grid возвращал 0 features.
2. nspd_sync.py: harvest_quarter добавлен time_limit=900 (hard) рядом с
soft_time_limit=600. Safety net если task игнорит SoftTimeLimitExceeded.
3. tests/test_nspd_client.py: добавлен _make_fake_grid_walk helper +
monkeypatch NSPDClient.get_features_in_bbox_grid в 3 тестах
(search_by_quarter_core_only / _with_zouit / _layers_fetched_with_risks).
Без этого area layers били бы по живому NSPD API → CI flaky.
Tests: 37 passed, 1 skipped (3 area-dispatch + 34 grid-walk).
Backend (quarter_dump_lookup.py):
- _acquire_harvest_lock: Redis SETNX TTL=120s на quarter, защищает от burst
N concurrent analyze, ставящих N одинаковых harvest task в очередь
- _trigger_harvest: использует lock перед apply_async, возвращает False если
lock уже взят (другой запрос триггернул раньше)
- make_empty_result/EMPTY_DUMP_RESULT: новое поле harvest_eta_seconds в
nspd_dump dict, типичный harvest_quarter = 60с
- /analyze: пробрасывает поле через nspd_dump dict (нет typed schema —
response_model=None для /analyze endpoint, dict уходит как есть)
Frontend (NspdFreshnessBadge, NspdZoningBlock):
- Countdown «НСПД: загрузка ~Nс» вместо бесконечного спиннера
- После остановки countdown (remaining=0) NspdZoningBlock показывает
«загрузка дольше обычного» + ссылку на ПКК вместо infinite skeleton
Tests: 5 новых unit + 2 для empty_result schema (всего +7, pass)
Closes#234 (UX-side; data-side resolves когда Sub-PR B + D merged).
PKK6 ArcGIS sync для pzz_zones_ekb (0 rows live) — задача и admin endpoint
уже существуют, но beat schedule отсутствовал. Schedule: 1st of month, 03:00 МСК.
Closes#233
TASK A (#29 G2): add parcel_meta to analyze response
- New ParcelMeta Pydantic schema in app/schemas/parcel.py
- SELECT from cad_parcels WHERE cad_num=:c in analyze_parcel() (step 9f)
- Returns permitted_use_established_by_document, land_record_category_type,
land_record_subtype, cost_value; None when row absent
- Tests: test_analyze_parcel_meta.py (found + not-found cases)
TASK B (#232 G3): cad_zouit fallback in _get_zouit_overlaps
- When nspd_quarter_dumps has zouit_count==0, fall back to ST_Intersects
query on cad_zouit (3483 rows, GIST indexed)
- Overlaps tagged with source='cad_zouit'; format compatible with NSPD path
- gate_verdict.py: BLOCKER_TYPE_ZONE_KEYWORDS tuple for keyword-based
classification (охранная зона / трубопровод / электр / газ -> blocker;
СЗЗ -> warning); NSPD subcategory path preserved backward-compat
- Tests: 6 new test cases in test_gate_verdict.py covering cad_zouit path
and backward-compat for NSPD subcategory path
Updated db.execute call sequence in test_analyze_*.py (index shift +1 at pos 10).
Wraps refresh_all / refresh_year Celery tasks behind the existing
AdminTokenAuth gate so the table can be populated on demand after
first deploy instead of waiting for the monthly beat (1st of month).
- TriggerEkburgPermitsRequest: year int|None, ge=2022 le=2030
- year=None -> refresh_all.apply_async() (scope all_years_2022_2026)
- year=N -> refresh_year.apply_async(args=[N]) (scope year_N)
- 4 smoke tests: all/year/invalid_year/no_token
Add SQL migration 100_user_weight_profiles_default_seed.sql with system
presets Эконом/Комфорт/Бизнес (user_id='__system__'). Migration is
idempotent via ON CONFLICT DO UPDATE.
Backend:
- weight_profiles.py: add SYSTEM_USER_ID constant + list_profiles_with_system()
- admin_weight_profiles.py: add include_system query param to GET list endpoint
Tests: 3 new tests covering include_system flag and service sentinel behaviour.
domrf_kn_flats.status is NULL in ~99.8% of rows, so WHERE status='sold'
always returned 0 rows and avg_price_per_m2 was always None. Drop the
filter; AVG over all rows with price_per_m2 IS NOT NULL is semantically
correct for a complex-level price estimate.
Adds regression test test_competitors_avg_price_populated (Issue #227).
