_GEO_WEIGHT_UNKNOWN was 0.1, which equals exp(−6.9/3)≈0.10 (weight of a
confirmed-far project at ~6.9 km). Projects beyond that distance got a
weight *below* 0.1, meaning unknown-coordinate projects outweighed
confirmed-far ones — an inversion of the documented intent.
Lowered to 0.05 (≈ exp(−3) = exp(−9 km / scale)), restoring the correct
hierarchy: confirmed-close > confirmed-far > unknown. Updated TestGeoWeight
(hardcoded 0.1 expectation) and TestCannibalizationTrueMode (overlap ×
floor comment/value) accordingly. Added two new assertions in TestGeoWeight
that enforce the hierarchy monotonically and verify unknown < exp(−6.9/3).
Degenerate price band (own_min==own_max или c_lo==c_hi, оба разрешены
CHECK 148 и Pydantic) внутри другой вилки возвращали 0.0 вместо 1.0:
фильтр w>0 выкидывал нулевую ширину → 0/positive=0.0. Это рвало
докстринг 'полное накрытие узкого = 1.0' и давало разрыв:
[148k,152k]→1.0 vs [150k,150k]→0.0, занижая среднее каннибализации.
Patch: вырожденные ширины обрабатываются ДО нормирования.
lo<=hi → точка внутри другой вилки → 1.0, вне → 0.0. +inf-обе-премиум
ветка перенесена в начало (избежать inf-inf=nan). +7 новых тестов в
TestPriceOverlap. 220 special_indices тестов зелёные.
Closes#1224
objective_lots.district хранит МИКРО-вокабуляр ('Уралмаш', 'ЖБИ', ...).
_query_artificial_demand фильтровал сырым АДМИН-именем ('Кировский' с
forecast.py:123) → ol.district='Кировский' = 0 строк → n_sold=0 → §25.5
Artificial Demand 'unavailable' с ложной причиной «нет проданных лотов»
в каждом district-scoped отчёте. Тот же класс бага, что #1211 в
_price_sensitivity.
Patch: импорт resolve_objective_districts + замена сырого
`ol.district = CAST(:district AS text)` на зеркальный паттерн
sales_series._SOURCE_B_SQL / market_metrics._SALES_WINDOW_SQL:
(CAST(:has_district AS boolean) IS FALSE
OR ol.district = ANY(CAST(:districts AS text[])))
Сигнатура _query_artificial_demand / _build_artificial_demand НЕ меняется
— caller остаётся admin-aware на входе.
+5 новых тестов (TestArtificialDemandDistrictResolution: резолвер вызван,
микро в bind, n_sold>0 после фикса), 6 обновлённых SQL-тестов. 21 passed
artificial_demand + 1030 forecasting тестов зелёные. ruff clean.
Closes#1205
Feed candidate_unit_mix into _build_cannibalization (mirrors how #1169 fed
candidate_release_month from the launch window), completing §25.3 to all 4 axes:
class + price + timing + unit-mix, plus geo weight.
- candidate mix from recommend_mix "buckets[].share_pct" (same rule-based
квартирография as §22 product_tz), extracted + normalized to {bucket: share}.
- _canonical_room_bucket folds recommend_mix RU labels ("1-к 30-45", "80+ м²")
and manual own_planned_project Latin keys ("1k") into one room-count space —
without it the L1 similarity would silently be 0 (disjoint keys).
- recommend_mix is HEAVY, so it's GATED: derived only when the own-portfolio has
>=1 project with a non-empty unit_mix; get_own_portfolio fetched once in
compute_special_indices and threaded into _build_cannibalization (no double
fetch). With OWN_DEVELOPER_IDS unset (portfolio empty) → zero added cost on the
hot §22 report path.
- Graceful (recommend_mix None/empty/raises → axis excluded, None-not-0),
deterministic. Unit-mix only fires for manual-future own-projects with a mix
(domrf-current carry unit_mix=None) — expected narrowness, documented.
205 tests; ruff + mypy clean. Scope: special_indices.py + test only; no deps.
Refs #1169
Upgrade the §25.3 cannibalization index from a same-class-competitor proxy to
true own-portfolio overlap: score the recommended candidate segment against the
developer's own portfolio (get_own_portfolio, #1169 PR1) across axes —
audience/class (ordinal distance), price ₽/м² (interval overlap), unit-mix
(L1 similarity), timing (half-life decay) — geo-weighted by haversine proximity
to the parcel, aggregated by geo-weighted soft-max (the strongest nearby
cannibalizer dominates, not a diluting mean). Empty portfolio -> labelled proxy
fallback, confidence forced low, never presented as the true index.
Pure scoring fns unit-tested without DB; None-not-0 on missing axes; thin/
only-current portfolio -> low confidence + §26 note; deterministic (sorted
tie-breaks, no RNG). class+price+geo active now; unit-mix+timing plumbed via
optional params for a follow-up that wires them from the orchestrator horizon.
ruff + mypy clean; 151 special-index tests pass (964 forecasting dir, no regr).
Refs #1169
