Light1YT
c9720a6212
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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 |
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| .. | ||
| __init__.py | ||
| affordability.py | ||
| confidence_engine.py | ||
| demand_normalization.py | ||
| demand_supply_forecast.py | ||
| macro_coefficient.py | ||
| macro_series.py | ||
| normalize.py | ||
| orchestrator.py | ||
| product_scoring.py | ||
| rate_sensitivity.py | ||
| recommendation.py | ||
| regression.py | ||
| report.py | ||
| report_assembler.py | ||
| sales_series.py | ||
| scenarios.py | ||
| special_indices.py | ||
| what_to_build.py | ||