3c8bea38d0
KILLER feature от Макса — точки подключения к инженерным сетям + охранные зоны как proxy для подбора инвест-участков. Phase 1 — публичные NSPD данные (cat 36328 + 37578). - ConnectionPointsResponse pydantic + 3 nested models - get_connection_points() + helpers (parcel WKT, structures by boundary, zouit overlaps) с ST_Distance(::geography) для метров - GET endpoint с Query(radius_m, ge=50, le=2000, default=500) - 7 tests Closes part of #115 (Phase 1 backend).
91 lines
2.3 KiB
Python
91 lines
2.3 KiB
Python
from typing import Any
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from pydantic import BaseModel, Field
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# ── Connection points schemas (issue #115) ────────────────────────────────────
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class EngineeringStructure(BaseModel):
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name: str | None
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type: str | None
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cad_num: str | None
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distance_to_boundary_m: float
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geometry_geojson: dict[str, Any]
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readable_address: str | None
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raw_props: dict[str, Any]
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source: str
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class ZouitOverlap(BaseModel):
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reg_numb_border: str | None
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type_zone: str | None
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subcategory: int | None
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intersects_parcel: bool
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geometry_geojson: dict[str, Any]
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raw_props: dict[str, Any]
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source: str
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class ConnectionPointsSummary(BaseModel):
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nearest_structure_distance_m: float | None
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in_protection_zone: bool
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protection_zones_intersecting: int
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total_structures_in_radius: int
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class ConnectionPointsResponse(BaseModel):
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engineering_structures: list[EngineeringStructure]
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zouit_engineering_overlaps: list[ZouitOverlap]
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summary: ConnectionPointsSummary
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dump_available: bool
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dump_fetched_at: str | None
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# ── Parcel search/detail schemas ──────────────────────────────────────────────
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class ParcelFilter(BaseModel):
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vri: list[str] | None = None
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area_min_sqm: float | None = None
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area_max_sqm: float | None = None
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region: str | None = None
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polygon_geojson: dict[str, Any] | None = None
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text_search: str | None = None
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class ScoringWeights(BaseModel):
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distance_to_center: float = 0.4
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poi_density: float = 0.3
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neighborhood_price: float = 0.3
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class ParcelSearchRequest(BaseModel):
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filters: ParcelFilter = Field(default_factory=ParcelFilter)
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weights: ScoringWeights = Field(default_factory=ScoringWeights)
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limit: int = 50
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class ScoreBreakdown(BaseModel):
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total: float
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distance_to_center: float
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poi_density: float
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neighborhood_price: float
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class ParcelSummary(BaseModel):
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id: str
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cadastral_number: str
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area_sqm: float
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vri: str
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address: str | None
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score: ScoreBreakdown
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class ParcelSearchResponse(BaseModel):
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items: list[ParcelSummary]
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total: int
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class ParcelDetail(ParcelSummary):
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geometry_geojson: dict[str, Any]
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enrichment: dict[str, Any]
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