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
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).
* fix(cadastre): NSPD response parse — properties.category + top-level meta (#168)
* fix(cadastre): test fixtures use real NSPD shape — properties.category + top-level meta (#168)
Bot review of #177 flagged that fixtures still used legacy properties.categoryId
+ data.meta — meaning CI exercised only fallback branches, not primary paths
where the actual bug lived. Pattern of 3 consecutive "live-only" parse fixes
(#175 verify, #176 headers, #177 parse) confirmed need for test coverage.
Changes:
- test_nspd_bulk_client.py: sample_quarter_response → properties.category +
meta moved to top-level (real NSPD shape verified live)
- test_cadastre_bulk.py: 7 fixtures categoryId → category (regex replace)
- test_nspd_bulk_feature_parse_basic: primary path now exercised
Plus schema hardening per bot review:
- NSPDBulkFeature.category_id: `is not None` check (not truthy `or`)
to avoid edge case category=0; int() wrapped in try/except so
non-numeric ID (e.g. "ЗУ") doesn't crash upsert_features loop.
35/35 tests pass locally.
---------
Co-authored-by: lekss361 <claudestars@proton.me>
- POST /api/v1/admin/scrape/geo/bulk — splits pending Sverdlovsk cad-nums
into N chunks (parallelism 1..10, default 5), creates N jobs and enqueues
each in queue=geo. source_kind='rosreestr_pending_chunk' for tracking.
- analytics_queries.complex_buildings(db, obj_id) — returns list of buildings
from cad_buildings (cad_num, floors, area, purpose, name, address, geom).
- object_detail: LEFT JOIN v_complex_buildings, adds buildings_count.
- top_developers: adds complexes_count via correlated subquery.
- GET /api/v1/analytics/object/{obj_id}/buildings → list[ComplexBuilding].
- JobSetting ORM model (JSONB extra_config) + Pydantic schemas
- GET/PUT /api/v1/admin/jobs/settings + /{job_type} (X-Admin-Token auth)
- celery_app.py builds beat_schedule from job_settings DB (env fallback
retained for safety on first deploy / DB unreachable)
- nspd_geo task reads rate_ms from job_settings when per-job row has
no override
- enqueue/resume geo jobs route to queue_name from job_settings
- Worker container: --queues=celery,scrape_kn,geo (one container,
three named queues — kn sweep no longer blocks nspd_geo)
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Scraper resume:
- /admin/scrape/queue autoclean уменьшен с 60min started_at до 10min
COALESCE(heartbeat_at, started_at). Не режет валидные long sweeps.
- Phase A пишет heartbeat после каждого objStatus fetch (3min Phase A
больше не рискует быть отмеченной как zombie при новом 10min threshold).
Recommend (Уровень 1 калькулятор):
- POST /api/v1/analytics/recommend/mix с velocity baseline (sale_graph),
price elasticity (regr_slope/r2 на sale_graph, fallback -1.5),
inverse mode (target_months → required price_factor), liquidity score
24mo, headline.
- /analytics/recommend: RecommendVelocityPanel (price slider 0.85..1.15
+ 4 KPI Чек/Срок/Темп/Ликвидность + методология эластичности),
RecommendLiquidityChart (cumulative 0..36 mo с пунктиром на 24).
- BucketsTable: +колонки Темп и Срок, цены/выручка масштабируются по
priceFactor live.
- Все слайдеры и target_months считаются клиентски — никаких round-trip.
Fix: SQLAlchemy не парсит :cls::text — заменено на CAST(:cls AS TEXT).
