lekss361
2a38561175
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90 lines
3.2 KiB
Python
90 lines
3.2 KiB
Python
"""Pydantic-схемы страницы «доля квартир дома в продаже» (мигр. 143).
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Источник данных — view v_building_sale_share + базовая таблица listings.
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Список домов вторичного рынка, где active_secondary / flat_count_effective >= threshold%.
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"""
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from __future__ import annotations
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from datetime import date
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from pydantic import BaseModel, ConfigDict
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class BuildingSaleShare(BaseModel):
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"""Один дом из v_building_sale_share для списка /buildings/sale-share."""
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model_config = ConfigDict(from_attributes=True)
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house_id: int
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address: str | None = None
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lat: float | None = None
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lon: float | None = None
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sale_share_pct: float | None = None
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# 2-й процент: distinct vtorichka за последние 45д (активные ИЛИ недавно
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# закрытые) / знаменатель. Дом проходит фильтр по ЛЮБОМУ из двух процентов.
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sale_share_pct_45d: float | None = None
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# implausible-матч (числитель > знаменателя по любому из %) — скорее всего
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# коллизия адреса при ГАР-матче; не прячем, а маркируем для UI.
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over_100: bool = False
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active_secondary: int | None = None
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# distinct vtorichka-листинги (активные ИЛИ закрытые) за окно 45д.
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listings_45d: int | None = None
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flat_count_effective: int | None = None
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gar_match_method: str | None = None
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median_price_rub: int | None = None
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median_price_per_m2: int | None = None
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avg_days_on_market: float | None = None
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year_built: int | None = None
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house_type: str | None = None
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total_floors: int | None = None
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series_name: str | None = None
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is_emergency: bool | None = None
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class BuildingListing(BaseModel):
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"""Активное вторичное объявление в доме (click-through drawer)."""
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model_config = ConfigDict(from_attributes=True)
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listing_id: int
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source: str
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source_url: str | None = None
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price_rub: int | None = None
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price_per_m2: int | None = None
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rooms: int | None = None
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area_m2: float | None = None
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floor: int | None = None
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total_floors: int | None = None
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days_on_market: int | None = None
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listing_date: date | None = None
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address: str | None = None
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class HistogramBucket(BaseModel):
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"""Корзина гистограммы распределения sale_share_pct."""
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bucket: str
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count: int
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class SaleShareSummary(BaseModel):
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"""Сводка для слайдера % + баннера покрытия (/buildings/sale-share/summary).
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buildings_with_denominator/coverage считают дома с непустым ЛЮБЫМ из двух %.
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max/p95 и histogram — отдельно для каждого процента (now + 45д).
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"""
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total_secondary_buildings: int
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buildings_with_denominator: int
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coverage_pct: float
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max_pct: float | None = None
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p95_pct: float | None = None
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max_pct_45d: float | None = None
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p95_pct_45d: float | None = None
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histogram: list[HistogramBucket]
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histogram_45d: list[HistogramBucket]
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