gendesign/tradein-mvp/backend/app/schemas/search.py
lekss361 7814e1223a feat(tradein): Phase 3.2 — /api/v1/search endpoint + Redis cache
Multi-Source Integration Phase 3.2. /api/v1/search with cross-source filters
+ POST body params + Redis 5min hot cache.

New files:
  app/schemas/search.py            — SearchParams (~20 filters, Pydantic v2)
  app/schemas/search_response.py   — SearchResponse + SearchResultItem
  app/services/search_query.py     — build_search_query (psycopg v3, CAST(:x AS type))
  app/services/cache.py            — SearchCache async wrapper (singleton lru_cache)
  app/api/v1/search.py             — POST /search endpoint
  tests/test_search_api.py         — unit + integration tests

Edited:
  app/main.py                      — include search.router prefix=/api/v1
  app/core/config.py               — settings.redis_url default
  pyproject.toml                   — add redis>=5.0.0

Queries listings_search_mv (matview from PR #469). Cache failures swallowed
(degrade to slow-but-correct). Sort whitelisted dict (no SQL injection).

Refs Master Plan sec 9.1 + 7.2.
2026-05-23 17:38:00 +03:00

71 lines
2.8 KiB
Python

"""SearchParams + SearchResponse — /api/v1/search (Phase 3.2)."""
from __future__ import annotations
from typing import Literal
from pydantic import BaseModel, Field, model_validator
SortKey = Literal[
"price_asc", "price_desc", "area_desc", "area_asc", "date_desc", "dist_asc"
]
class SearchParams(BaseModel):
"""Фильтры поиска по listings_search_mv (master plan sec 9.1)."""
# --- Geo (radius search) ---
lat: float | None = Field(default=None, ge=-90.0, le=90.0)
lon: float | None = Field(default=None, ge=-180.0, le=180.0)
radius_m: int = Field(default=2000, ge=100, le=50000)
# --- Property filters ---
rooms: int | None = Field(default=None, ge=0, le=10)
rooms_in: list[int] | None = None
area_m2_min: float | None = Field(default=None, ge=0)
area_m2_max: float | None = Field(default=None, ge=0)
price_rub_min: int | None = Field(default=None, ge=0)
price_rub_max: int | None = Field(default=None, ge=0)
price_per_m2_max: int | None = Field(default=None, ge=0)
floor_min: int | None = Field(default=None, ge=1)
floor_max: int | None = Field(default=None, ge=1)
# --- House filters ---
year_built_min: int | None = Field(default=None, ge=1800, le=2100)
year_built_max: int | None = Field(default=None, ge=1800, le=2100)
house_class: list[str] | None = None
floors_total_min: int | None = Field(default=None, ge=1)
floors_total_max: int | None = Field(default=None, ge=1)
# --- Quality / cross-source ---
has_kadastr: bool = False
sources: list[Literal["avito", "cian", "yandex_realty", "n1"]] | None = None
multi_source_only: bool = False
require_avito: bool = False
require_cian: bool = False
require_yandex: bool = False
# --- Text search ---
address_query: str | None = Field(default=None, max_length=200)
description_query: str | None = Field(default=None, max_length=200)
# --- Sort + pagination ---
sort: SortKey = "date_desc"
page: int = Field(default=1, ge=1, le=1000)
page_size: int = Field(default=50, ge=1, le=200)
@model_validator(mode="after")
def _validate_geo_pair(self) -> SearchParams:
if (self.lat is None) != (self.lon is None):
raise ValueError("lat and lon must be provided together")
if self.sort == "dist_asc" and self.lat is None:
raise ValueError("sort=dist_asc requires lat+lon")
if self.price_rub_min and self.price_rub_max and self.price_rub_min > self.price_rub_max:
raise ValueError("price_rub_min > price_rub_max")
if self.area_m2_min and self.area_m2_max and self.area_m2_min > self.area_m2_max:
raise ValueError("area_m2_min > area_m2_max")
return self
@property
def offset(self) -> int:
return (self.page - 1) * self.page_size