Light1YT
e3bb125910
Add backend/app/services/forecasting/sales_series.py — deterministic monthly sold-units (+area+avg price) time series per SegmentSpec, the Y-axis foundation for the §9.6 key-rate regression. Two sources with distinct authority: objective_corpus_room_month (class/district aggregates, full ДДУ+ДКП, count- weighted price ×1000 тыс→₽) and objective_lots (room×area×price segmentation, GROUP BY date_trunc registration_date; survivorship caveat documented). Pure DB-free helpers price_bucket_of / room_area_bucket_of / log_diff / fill_month_grid, unit-tested. In-SQL CASE bucketing shares the same threshold constants as the helpers (bound params) → no Python↔SQL drift. Months with no sales → units=0 (real zero), area/price → None. Graceful empty/thin → low confidence, zero-filled grid. Mirrors macro_series.py (PR2). room_bucket semantics are source-specific (documented on SegmentSpec). 62 tests, ruff clean. |
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| .. | ||
| cadastre | ||
| etl | ||
| exporters | ||
| forecasting | ||
| generative | ||
| photos | ||
| scrapers | ||
| site_finder | ||
| __init__.py | ||
| analytics_queries.py | ||
| analytics_refresh.py | ||
| job_settings.py | ||
| objective_etl.py | ||
| objective_sync_config.py | ||