13 commits

Author	SHA1	Message	Date
lekss361	bcd7dc8f75	fix(sf-09): iterative cap algorithm + cap_skipped flag + unit tests ... Review verdict MINOR (PR #282) — single-pass cap_and_redistribute не гарантировал invariant max ≤ MAX_BUCKET_SHARE_PCT. Surplus от clamped поднимал free выше cap (например {1k:75, studio:15, 2k:10} → studio=39). - backend/app/services/site_finder/best_layouts.py - _cap_and_redistribute → iterative while-loop до сходимости - Returns (result_map, cap_skipped) — флаг для pathological all-clamped - Float work map, Hamilton финальный pass для invariant sum=100 - backend/app/schemas/parcel.py - LayoutTzRecommendation.cap_skipped: bool = False - backend/tests/services/site_finder/test_best_layouts.py - 6 parametrized tests: invariants, 7 failing cases from review, no-dominant unchanged, empty, cap_skipped propagation, normal-case - frontend/src/types/best-layouts.ts — cap_skipped: boolean - frontend/src/components/site-finder/BestLayoutsBlock.tsx - banner условие сменилось с maxPct > 60 на rec.cap_skipped (honest signal)	2026-05-17 15:21:51 +03:00
lekss361	247c252b04	fix(sf-05): clamp sold_pct_of_supply at 100% + add is_oversold flag ... 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	2026-05-17 11:57:29 +03:00
lekss361	f70be684da	feat(#29,#232): wire cad_parcels.permitted_use in analyze + cad_zouit fallback (G2+G3) ... 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).	2026-05-17 08:17:22 +03:00
lekss361	fdb54834e5	fix(nspd): rename migration 89→98, fix red lines ST_Area→ST_Length (#220) ... - data/sql/98_*: rename from 89 to avoid collision with existing 89_drop_dead_brin - _get_red_lines: ST_Length(ST_Intersection(planar)::geography) instead of ST_Area(ST_Intersection(::geography, ::geography)) — fixes PostGIS 3.4 tolerance error and returns correct non-zero length for LINESTRING intersections - Rename intersection_area_sqm → intersection_length_m across schema, TS types, frontend component, and tests; add test_get_red_lines_db_exception_returns_empty Addresses review-bot feedback on PR #220.	2026-05-16 19:33:14 +03:00
lekss361	ed3c128528	feat(nspd): TIER 4 opportunity layers + red lines (#94 PR2 of 4) ... - NSPDClient: QUARTER_OPPORTUNITY_LAYERS (auction/scheme/free/future/oopt) + QuarterDump.opportunity field - nspd_sync: harvest_quarter accepts include_opportunity, denorm cols has_auction_parcels + opportunity_count in UPSERT - quarter_dump_lookup: - _get_opportunity_parcels (sort by distance, early-exit on count=0) - _get_red_lines (query existing dump.red_lines core path, layer='red_lines') - SQL 89_*: has_auction_parcels + opportunity_count + partial index - Pydantic: OpportunityParcel + RedLine schemas - /analyze: nspd_opportunity_parcels + nspd_red_lines fields - Frontend: NspdOpportunityBlock + NspdRedLinesBlock + LandTab integration - Tests: 28 total (11 PR1 + 17 PR2), all pass Red lines uses existing core harvest path (layer 879243 already in dump.red_lines from PR1+core) — no duplicate harvest, no red_lines_count_v2 column needed. Part of #94	2026-05-16 19:06:22 +03:00
lekss361	1595157ebf	feat(nspd): enable TIER 3 risk zones harvest + extract in analyze (#94 PR1) ... - harvest_stale_quarters fanout passes include_risks=True to all queued tasks - _get_risk_zones() with ST_Intersects + ST_Area intersection calc - _extract_features_by_layer() generic helper for future PR2+ reuse - RiskZone Pydantic schema; /analyze returns nspd_risk_zones list - NspdRiskZonesBlock component with severity color-coding (red/yellow/orange) - 11 unit tests for extract/intersect/null-area/db-exception paths Part of #94 (TIER 3 risk layers — flooding, landslide, burns, erosion etc)	2026-05-16 16:11:59 +03:00
lekss361	46203ab365	feat(permits): Celery beat monthly + analyze recent_permits (#105 Phase 4+5) (#213)	2026-05-16 12:23:52 +00:00
lekss361	27a0957bb5	feat(analyze): add market_price из mv_quarter_price_per_m2 (#33 PR B) (#210)	2026-05-16 11:28:16 +00:00
lekss361	092976f656	feat(site-finder): inline POI weights pass-through в /analyze (#201 Phase 1) (#206)	2026-05-16 11:00:41 +00:00
lekss361	e673811a20	feat(parcels): layout signature schemas + extractor (#113 PR A) (#193)	2026-05-16 07:52:34 +00:00
lekss361	4deb1b0284	feat(parcels): connection-points endpoint (Forgejo #115 Phase 1 backend) (#190)	2026-05-16 05:58:27 +00:00
lekss361	e561df1b55	feat(parcels): competitors endpoint (Forgejo #112 Phase 1 backend) (#191)	2026-05-15 22:21:05 +00:00
lekss361	b95559eac9	init	2026-04-25 13:45:19 +03:00