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Определение специфических рекомендаций (матрица профилей §8):
1. Ж/д слой (закрыт мёртвый railway ×2.5 у РАС):
- /api/v1/water/{case_id} отдаёт railway=rail как LineString
(без service/industrial/military веток), кэш общий v2;
- railway_warning «перекрыть/проверить немедленно» по профилям;
- SearchMap: Polyline слой ж/д (тёмно-красный), счётчики 💧/🚂.
2. cant_swim → профиль не_умеет_плавать (water ×3.0, без изменения
радиуса, critical_warning «обследовать водоёмы НЕМЕДЛЕННО»):
- раньше чекбокс влиял только на текст, в скоринге был пробел;
- derive в analyze._derive_profiles — работает и для closed_cases.
3. unmodeled_profiles: ДЦП/слабое зрение/слух — честная пометка
«вне поведенческой модели» с пояснением (vector_tasks B12:
профили без аналога не выдавать за учтённые); блок на фронте
в карточке здоровья.
Площадь воды: сферический эксцесс, проверен на квадрате 53° (744017 м²
vs 743272 точного). Тесты: 202 passed (новый test_cant_swim_profile).
104 lines
3.3 KiB
Python
104 lines
3.3 KiB
Python
from __future__ import annotations
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import json
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import warnings
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from typing import TYPE_CHECKING, Any, Callable, TypeVar, Union
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from typing_extensions import deprecated
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from ..json_schema import DEFAULT_REF_TEMPLATE, GenerateJsonSchema
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from ..type_adapter import TypeAdapter
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from ..warnings import PydanticDeprecatedSince20
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if not TYPE_CHECKING:
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# See PyCharm issues https://youtrack.jetbrains.com/issue/PY-21915
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# and https://youtrack.jetbrains.com/issue/PY-51428
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DeprecationWarning = PydanticDeprecatedSince20
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__all__ = 'parse_obj_as', 'schema_of', 'schema_json_of'
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NameFactory = Union[str, Callable[[type[Any]], str]]
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T = TypeVar('T')
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@deprecated(
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'`parse_obj_as` is deprecated. Use `pydantic.TypeAdapter.validate_python` instead.',
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category=None,
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)
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def parse_obj_as(type_: type[T], obj: Any, type_name: NameFactory | None = None) -> T:
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warnings.warn(
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'`parse_obj_as` is deprecated. Use `pydantic.TypeAdapter.validate_python` instead.',
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category=PydanticDeprecatedSince20,
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stacklevel=2,
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)
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if type_name is not None: # pragma: no cover
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warnings.warn(
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'The type_name parameter is deprecated. parse_obj_as no longer creates temporary models',
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DeprecationWarning,
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stacklevel=2,
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)
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return TypeAdapter(type_).validate_python(obj)
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@deprecated(
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'`schema_of` is deprecated. Use `pydantic.TypeAdapter.json_schema` instead.',
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category=None,
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)
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def schema_of(
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type_: Any,
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*,
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title: NameFactory | None = None,
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by_alias: bool = True,
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ref_template: str = DEFAULT_REF_TEMPLATE,
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schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema,
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) -> dict[str, Any]:
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"""Generate a JSON schema (as dict) for the passed model or dynamically generated one."""
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warnings.warn(
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'`schema_of` is deprecated. Use `pydantic.TypeAdapter.json_schema` instead.',
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category=PydanticDeprecatedSince20,
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stacklevel=2,
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)
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res = TypeAdapter(type_).json_schema(
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by_alias=by_alias,
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schema_generator=schema_generator,
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ref_template=ref_template,
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)
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if title is not None:
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if isinstance(title, str):
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res['title'] = title
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else:
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warnings.warn(
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'Passing a callable for the `title` parameter is deprecated and no longer supported',
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DeprecationWarning,
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stacklevel=2,
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)
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res['title'] = title(type_)
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return res
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@deprecated(
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'`schema_json_of` is deprecated. Use `pydantic.TypeAdapter.json_schema` instead.',
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category=None,
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)
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def schema_json_of(
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type_: Any,
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*,
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title: NameFactory | None = None,
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by_alias: bool = True,
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ref_template: str = DEFAULT_REF_TEMPLATE,
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schema_generator: type[GenerateJsonSchema] = GenerateJsonSchema,
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**dumps_kwargs: Any,
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) -> str:
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"""Generate a JSON schema (as JSON) for the passed model or dynamically generated one."""
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warnings.warn(
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'`schema_json_of` is deprecated. Use `pydantic.TypeAdapter.json_schema` instead.',
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category=PydanticDeprecatedSince20,
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stacklevel=2,
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)
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return json.dumps(
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schema_of(type_, title=title, by_alias=by_alias, ref_template=ref_template, schema_generator=schema_generator),
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**dumps_kwargs,
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)
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