lekss361
9643979d2c
POST /api/v1/search reading listings_search_mv with ~20 cross-source filters, parameterized SQL (CAST(:x AS type), psycopg v3), whitelisted ORDER BY (Pydantic Literal), Redis 5min hot cache with graceful degradation (singleton pool via lru_cache). Verified vs data/sql/050_search_optimization.sql: matview column refs (total_area, lng, house_rating, sources[], has_avito/cian/yandex), SQL injection safety, cache failure swallow, router prefix. Deep-code-reviewer: APPROVE.
53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
"""SearchResponse + SearchResultItem — /api/v1/search return shape."""
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from __future__ import annotations
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from datetime import datetime
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from pydantic import BaseModel, ConfigDict
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class SearchResultItem(BaseModel):
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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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address: str | None = None
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lat: float | None = None
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lng: float | None = None
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rooms: int | None = None
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total_area: float | None = None
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floor: int | None = None
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total_floors: int | 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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kadastr_num: str | None = None
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scraped_at: datetime | None = None
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house_id: int | None = None
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year_built: int | None = None
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house_class: str | None = None
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developer_name: str | None = None
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house_rating: float | None = None
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house_ratings_count: int | None = None
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source_count: int | None = None
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sources: list[str] | None = None
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has_avito: bool | None = None
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has_cian: bool | None = None
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has_yandex: bool | None = None
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house_median_ppm2: float | None = None
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district: str | None = None
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class SearchResponse(BaseModel):
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items: list[SearchResultItem]
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total: int
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page: int
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page_size: int
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elapsed_ms: float | None = None
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cache_hit: bool = False
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