f20080305d
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).
111 lines
3.4 KiB
Python
111 lines
3.4 KiB
Python
# Copyright Amethyst Reese
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# Licensed under the MIT license
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import sqlite3
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from collections.abc import AsyncIterator, Iterable
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from typing import Any, Callable, Optional, TYPE_CHECKING
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if TYPE_CHECKING:
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from .core import Connection
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class Cursor:
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def __init__(self, conn: "Connection", cursor: sqlite3.Cursor) -> None:
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self.iter_chunk_size = conn._iter_chunk_size
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self._conn = conn
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self._cursor = cursor
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def __aiter__(self) -> AsyncIterator[sqlite3.Row]:
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"""The cursor proxy is also an async iterator."""
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return self._fetch_chunked()
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async def _fetch_chunked(self):
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while True:
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rows = await self.fetchmany(self.iter_chunk_size)
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if not rows:
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return
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for row in rows:
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yield row
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async def _execute(self, fn, *args, **kwargs):
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"""Execute the given function on the shared connection's thread."""
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return await self._conn._execute(fn, *args, **kwargs)
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async def execute(
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self, sql: str, parameters: Optional[Iterable[Any]] = None
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) -> "Cursor":
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"""Execute the given query."""
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if parameters is None:
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parameters = []
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await self._execute(self._cursor.execute, sql, parameters)
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return self
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async def executemany(
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self, sql: str, parameters: Iterable[Iterable[Any]]
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) -> "Cursor":
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"""Execute the given multiquery."""
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await self._execute(self._cursor.executemany, sql, parameters)
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return self
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async def executescript(self, sql_script: str) -> "Cursor":
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"""Execute a user script."""
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await self._execute(self._cursor.executescript, sql_script)
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return self
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async def fetchone(self) -> Optional[sqlite3.Row]:
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"""Fetch a single row."""
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return await self._execute(self._cursor.fetchone)
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async def fetchmany(self, size: Optional[int] = None) -> Iterable[sqlite3.Row]:
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"""Fetch up to `cursor.arraysize` number of rows."""
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args: tuple[int, ...] = ()
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if size is not None:
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args = (size,)
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return await self._execute(self._cursor.fetchmany, *args)
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async def fetchall(self) -> Iterable[sqlite3.Row]:
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"""Fetch all remaining rows."""
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return await self._execute(self._cursor.fetchall)
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async def close(self) -> None:
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"""Close the cursor."""
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await self._execute(self._cursor.close)
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@property
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def rowcount(self) -> int:
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return self._cursor.rowcount
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@property
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def lastrowid(self) -> Optional[int]:
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return self._cursor.lastrowid
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@property
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def arraysize(self) -> int:
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return self._cursor.arraysize
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@arraysize.setter
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def arraysize(self, value: int) -> None:
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self._cursor.arraysize = value
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@property
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def description(self) -> tuple[tuple[str, None, None, None, None, None, None], ...]:
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return self._cursor.description
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@property
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def row_factory(self) -> Optional[Callable[[sqlite3.Cursor, sqlite3.Row], object]]:
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return self._cursor.row_factory
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@row_factory.setter
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def row_factory(self, factory: Optional[type]) -> None:
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self._cursor.row_factory = factory
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@property
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def connection(self) -> sqlite3.Connection:
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return self._cursor.connection
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async def __aenter__(self):
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return self
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async def __aexit__(self, exc_type, exc_val, exc_tb):
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await self.close()
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