jiang
3fbb17bb30
Bind every scheme request to ProjectContext, keep viewer access read-only, reject concurrent optimization jobs without blocking worker threads, and cap export/update payload sizes. Run optimization and workbook work off the event loop.
132 lines
3.8 KiB
Python
132 lines
3.8 KiB
Python
from contextlib import contextmanager
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import fcntl
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from pathlib import Path
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from typing import Any
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from app.algorithms.sensor import kmeans as kmeans_sensor
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from app.algorithms.sensor import sensitivity
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from app.native.wndb.s42_sensor_placement import create_sensor_placement
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from app.services.sensor_placement import (
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SensorPlacementConflictError,
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SensorPlacementValidationError,
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validate_sensor_placement_nodes,
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)
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from app.services.tjnetwork import dump_inp
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def _sensor_inp_path(name: str) -> Path:
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if (
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not name
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or name in {".", ".."}
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or "/" in name
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or "\\" in name
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or "\x00" in name
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):
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raise SensorPlacementValidationError("管网名称不是有效的项目标识")
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return Path("db_inp") / f"{name}.db.inp"
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@contextmanager
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def _sensor_inp_lock(name: str):
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inp_path = _sensor_inp_path(name)
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inp_path.parent.mkdir(parents=True, exist_ok=True)
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lock_path = inp_path.with_suffix(".sensor.lock")
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with lock_path.open("w", encoding="utf-8") as lock_file:
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try:
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fcntl.flock(
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lock_file.fileno(),
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fcntl.LOCK_EX | fcntl.LOCK_NB,
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)
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except BlockingIOError as exc:
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raise SensorPlacementConflictError(
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"当前项目已有监测点优化任务正在运行，请稍后重试"
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) from exc
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try:
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yield inp_path
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finally:
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fcntl.flock(lock_file.fileno(), fcntl.LOCK_UN)
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def _create_validated_placement(
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name: str,
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*,
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scheme_name: str,
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min_diameter: int,
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username: str,
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sensor_location: list[str],
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) -> dict[str, Any]:
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validate_sensor_placement_nodes(name, sensor_location)
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return create_sensor_placement(
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name,
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scheme_name=scheme_name,
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min_diameter=min_diameter,
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username=username,
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sensor_location=sensor_location,
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)
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def pressure_sensor_placement_sensitivity(
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name: str,
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scheme_name: str,
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sensor_number: int,
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min_diameter: int,
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username: str,
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) -> dict[str, Any]:
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"""
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基于改进灵敏度法进行压力监测点优化布置
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:param name: 数据库名称
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:param scheme_name: 监测优化布置方案名称
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:param sensor_number: 传感器数目
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:param min_diameter: 最小管径
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:param username: 用户名
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:return: 新建的监测点方案
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"""
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with _sensor_inp_lock(name):
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sensor_location = sensitivity.get_ID(
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name=name,
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sensor_num=sensor_number,
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min_diameter=min_diameter,
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)
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return _create_validated_placement(
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name,
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scheme_name=scheme_name,
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min_diameter=min_diameter,
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username=username,
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sensor_location=sensor_location,
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)
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# 2025/08/21
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# 基于kmeans聚类法进行压力监测点优化布置
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def pressure_sensor_placement_kmeans(
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name: str,
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scheme_name: str,
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sensor_number: int,
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min_diameter: int,
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username: str,
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) -> dict[str, Any]:
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"""
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基于聚类法进行压力监测点优化布置
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:param name: 数据库名称（注意，此处数据库名称也是inp文件名称，inp文件与pg库名要一样）
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:param scheme_name: 监测优化布置方案名称
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:param sensor_number: 传感器数目
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:param min_diameter: 最小管径
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:param username: 用户名
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:return: 新建的监测点方案
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"""
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# dump_inp
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with _sensor_inp_lock(name) as inp_path:
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dump_inp(name, str(inp_path), "2")
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sensor_location = kmeans_sensor.kmeans_sensor_placement(
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name=name,
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sensor_num=sensor_number,
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min_diameter=min_diameter,
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)
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return _create_validated_placement(
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name,
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scheme_name=scheme_name,
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min_diameter=min_diameter,
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username=username,
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sensor_location=sensor_location,
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)
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