gendesign/backend/app/services/forecasting
Light1YT 681a922d99
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feat(forecast): resolve admin district -> micro set in §9.x market/supply/sales filters
/analyze passes the official ЕКБ admin district (ekb_districts polygon, e.g.
'Кировский'), but objective_lots/corpus_room_month store informal micro-districts
('Втузгородок','ЖБИ') -> admin name matched 0 rows -> silent empty forecast.

Add resolve_objective_districts() (site_finder/district_resolver.py) mapping an
admin name to its clean micros via ekb_district_alias (note IS NULL), with
None -> EKB-wide fallback and raw-micro pass-through. Wire into the objective_lots
district filters of market_metrics (§9.2 stock+sales), supply_layers L1 (§9.3),
and sales_series Sources A+B (crm shares the micro vocab, prod-verified),
switching the scalar filter to psycopg3-safe = ANY(CAST(:districts AS text[])).
supply_layers L2/L3 keep the admin name (domrf_kn_objects.district_name is admin vocab).

Prod: Кировский/Ленинский/Орджоникидзевский obj_count 0 -> 32/64/31.
Tests mutation-verified non-vacuous. 192 module tests pass; ruff clean. Refs #969 #949.
2026-06-05 07:03:37 +05:00
..
__init__.py feat(forecasting): §13 report assembler (#988, 955-A2) (#1021) 2026-06-03 08:51:23 +00:00
affordability.py fix(affordability): calibrate key_rate->market mortgage spread to 4.5pp 2026-06-04 17:21:29 +05:00
confidence_engine.py feat(forecasting): §15 confidence engine v2 (#990, 955-A4) (#1020) 2026-06-03 08:41:07 +00:00
demand_normalization.py feat(forecasting): wire Almon-ADL rate estimator into §9.6 consumers (#978) 2026-06-04 10:33:31 +00:00
demand_supply_forecast.py feat(forecasting): wire Almon-ADL rate estimator into §9.6 consumers (#978) 2026-06-04 10:33:31 +00:00
macro_coefficient.py feat(forecasting): §9.5 macro coefficient (#951e, advisory) (#1010) 2026-06-03 06:20:04 +00:00
macro_series.py feat(forecasting): monthly macro series + regime classifier (#951b) (#1007) 2026-06-03 05:37:43 +00:00
normalize.py feat(forecasting): seasonal (month-of-year) demand normalization (#979) 2026-06-04 11:19:50 +05:00
product_scoring.py feat(forecasting): wire Almon-ADL rate estimator into §9.6 consumers (#978) 2026-06-04 10:33:31 +00:00
rate_sensitivity.py feat(forecasting): seasonal (month-of-year) demand normalization (#979) 2026-06-04 11:19:50 +05:00
recommendation.py fix(forecasting): honest USP gate (di>0) + unit-explicit coverage fraction 2026-06-04 13:25:25 +05:00
regression.py feat(forecasting): wire Almon-ADL rate estimator into §9.6 consumers (#978) 2026-06-04 10:33:31 +00:00
report.py feat(forecasting): §13 SiteFinderReport object (#987, 955-A1) (#1019) 2026-06-03 08:33:01 +00:00
report_assembler.py fix(forecasting): honest USP gate (di>0) + unit-explicit coverage fraction 2026-06-04 13:25:25 +05:00
sales_series.py feat(forecast): resolve admin district -> micro set in §9.x market/supply/sales filters 2026-06-05 07:03:37 +05:00
scenarios.py feat(forecasting): §11 macro-scenarios (#984, 954-A) (#1016) 2026-06-03 07:59:22 +00:00
special_indices.py feat(forecasting): §25 six special indices (#986, 954-C) (#1018) 2026-06-03 08:24:08 +00:00
what_to_build.py feat(forecasting): what-to-build ranker + MAI proxy (#981, 952-B) (#1013) 2026-06-03 07:07:17 +00:00