fe2a881cec
- POST /api/v1/admin/scrape/geo/bulk — splits pending Sverdlovsk cad-nums
into N chunks (parallelism 1..10, default 5), creates N jobs and enqueues
each in queue=geo. source_kind='rosreestr_pending_chunk' for tracking.
- analytics_queries.complex_buildings(db, obj_id) — returns list of buildings
from cad_buildings (cad_num, floors, area, purpose, name, address, geom).
- object_detail: LEFT JOIN v_complex_buildings, adds buildings_count.
- top_developers: adds complexes_count via correlated subquery.
- GET /api/v1/analytics/object/{obj_id}/buildings → list[ComplexBuilding].
15 lines
417 B
Python
15 lines
417 B
Python
"""Pydantic schemas for complex cadastral buildings endpoint."""
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from __future__ import annotations
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from pydantic import BaseModel
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class ComplexBuilding(BaseModel):
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cad_num: str
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floors: int | None
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area: float | None
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purpose: str | None
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building_name: str | None
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readable_address: str | None
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geom_geojson: dict | None # GeoJSON Geometry, e.g. {"type": "Polygon", "coordinates": [...]}
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