bot-backend
b64334d7bd
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112 lines
4.5 KiB
Python
112 lines
4.5 KiB
Python
"""SearchParams + SearchResponse — /api/v1/search (Phase 3.2)."""
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from __future__ import annotations
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from typing import Literal
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from pydantic import BaseModel, Field, model_validator
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SortKey = Literal["price_asc", "price_desc", "area_desc", "area_asc", "date_desc", "dist_asc"]
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# Сегмент рынка (#1188, поверх canon-предиката #1186).
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# NULL listing_segment (legacy вторичка до миграции 011) трактуется как 'vtorichka'.
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SegmentKey = Literal["vtorichka", "novostroyki", "all"]
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class SearchParams(BaseModel):
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"""Фильтры поиска по listings_search_mv (master plan sec 9.1)."""
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# --- Geo (radius search) ---
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lat: float | None = Field(default=None, ge=-90.0, le=90.0)
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lon: float | None = Field(default=None, ge=-180.0, le=180.0)
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radius_m: int = Field(default=2000, ge=100, le=50000)
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# --- Property filters ---
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rooms: int | None = Field(default=None, ge=0, le=10)
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rooms_in: list[int] | None = None
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area_m2_min: float | None = Field(default=None, ge=0)
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area_m2_max: float | None = Field(default=None, ge=0)
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price_rub_min: int | None = Field(default=None, ge=0)
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price_rub_max: int | None = Field(default=None, ge=0)
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price_per_m2_max: int | None = Field(default=None, ge=0)
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floor_min: int | None = Field(default=None, ge=1)
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floor_max: int | None = Field(default=None, ge=1)
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# --- House filters ---
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year_built_min: int | None = Field(default=None, ge=1800, le=2100)
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year_built_max: int | None = Field(default=None, ge=1800, le=2100)
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house_class: list[str] | None = None
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floors_total_min: int | None = Field(default=None, ge=1)
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floors_total_max: int | None = Field(default=None, ge=1)
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# --- Quality / cross-source ---
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has_kadastr: bool = False
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sources: list[Literal["avito", "cian", "yandex_realty", "n1"]] | None = None
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multi_source_only: bool = False
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require_avito: bool = False
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require_cian: bool = False
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require_yandex: bool = False
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# --- Text search ---
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address_query: str | None = Field(default=None, max_length=200)
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description_query: str | None = Field(default=None, max_length=200)
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# --- Market segment (#1188) ---
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segment: SegmentKey = Field(
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default="vtorichka",
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description=(
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"Сегмент рынка для фильтрации listings. "
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"`vtorichka` (по умолчанию, back-compat) — вторичка; "
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"строки с listing_segment=NULL (legacy до миграции 011) "
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"считаются вторичкой согласно canon-предикату #1186. "
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"`novostroyki` — только первичка. "
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"`all` — без фильтра по сегменту."
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),
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)
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# --- Sort + pagination ---
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sort: SortKey = "date_desc"
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page: int = Field(default=1, ge=1, le=1000)
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page_size: int = Field(default=50, ge=1, le=200)
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@model_validator(mode="after")
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def _validate_geo_pair(self) -> SearchParams:
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if (self.lat is None) != (self.lon is None):
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raise ValueError("lat and lon must be provided together")
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if self.sort == "dist_asc" and self.lat is None:
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raise ValueError("sort=dist_asc requires lat+lon")
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if (
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self.price_rub_min is not None
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and self.price_rub_max is not None
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and self.price_rub_min > self.price_rub_max
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):
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raise ValueError("price_rub_min > price_rub_max")
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if (
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self.area_m2_min is not None
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and self.area_m2_max is not None
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and self.area_m2_min > self.area_m2_max
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):
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raise ValueError("area_m2_min > area_m2_max")
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if (
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self.floor_min is not None
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and self.floor_max is not None
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and self.floor_min > self.floor_max
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):
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raise ValueError("floor_min > floor_max")
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if (
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self.year_built_min is not None
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and self.year_built_max is not None
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and self.year_built_min > self.year_built_max
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):
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raise ValueError("year_built_min > year_built_max")
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if (
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self.floors_total_min is not None
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and self.floors_total_max is not None
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and self.floors_total_min > self.floors_total_max
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):
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raise ValueError("floors_total_min > floors_total_max")
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return self
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@property
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def offset(self) -> int:
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return (self.page - 1) * self.page_size
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