feat(analytics): mv_quarter_price_per_m2 MV + refresh helper (#33 D1 PR A)
Per-cad_quarter price aggregation из 6.83M rosreestr_deals.
Source verification (postgres MCP):
- rosreestr_deals total: 6 830 001
- price_per_sqm filled 99.9% (fallback deal_price/area)
- quarter_cad_number (NOT cad_quarter), period_start_date, realestate_type_code
SQL (95_mv_quarter_price.sql, ~124 LOC):
- Filter realestate_type_code='002001003000' (новостройки) + outlier 30K..800K
- Percentile p25/median/p75 + mean + temporal slices (6m/12m/24m)
- 24-month window, HAVING COUNT(*)>=3
- WITH NO DATA + REFRESH after INDEX (#194 pattern)
- UNIQUE INDEX (quarter_cad_number) для CONCURRENTLY
- ~52 492 quarters в MV (all-Russia; EKB subset ~9700)
Python helper (quarter_price_refresh.py, ~65 LOC):
- refresh_quarter_price(db, concurrently=True) с try/except fallback
Phase B (analyze integration — quarter median вместо district) — отдельный PR.
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