* 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).
