521 lines
20 KiB
Python
521 lines
20 KiB
Python
from __future__ import annotations
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from collections.abc import Callable
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from dataclasses import dataclass
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from math import floor, isfinite
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from typing import Literal
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from app.simulation.core.base import DynamicComponent
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from app.simulation.core.metadata import ResultVariableMetadata
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from app.simulation.solvers.algebraic import PressureFlowSolver
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from app.simulation.solvers.mechanical import MechanicalStateReducer
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from app.simulation.solvers.pneumatic_storage import (
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IdealPneumaticStorageReducer,
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ideal_storage_group_is_reducible,
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)
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from app.simulation.solvers.pneumatic_volume import PneumaticVolumeResolver
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from app.simulation.solvers.solver import ODESolution, SolveIVPConfig, integrate_ode
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from app.simulation.solvers.signal import SignalResolver
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from app.simulation.solvers.stream import StreamResolver
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from app.simulation.systems.network import Endpoint, SimulationNetwork
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SimulationProgressCallback = Callable[[float, str], None]
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SimulationCancellationCheck = Callable[[], bool]
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SimulationRunStatus = Literal["completed", "cancelled", "failed"]
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@dataclass(frozen=True)
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class SimulationPreparationIssue:
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code: str
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message: str
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def as_dict(self) -> dict[str, str]:
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return {"code": self.code, "message": self.message}
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class SimulationPreparationError(ValueError):
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def __init__(self, issues: tuple[SimulationPreparationIssue, ...]) -> None:
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super().__init__("The compiled model is not ready for simulation.")
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self.issues = issues
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@dataclass(frozen=True)
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class GenericSimulationResult:
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success: bool
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status: SimulationRunStatus
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message: str
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simulated_until: float
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requested_stop_time: float
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variables: tuple[ResultVariableMetadata, ...]
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series: dict[str, list[float]]
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final: dict[str, float]
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diagnostics: dict[str, object]
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def as_dict(self) -> dict[str, object]:
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return {
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"success": self.success,
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"status": self.status,
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"partial": self.status != "completed",
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"message": self.message,
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"simulatedUntil": self.simulated_until,
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"requestedStopTime": self.requested_stop_time,
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"variables": [variable.as_dict() for variable in self.variables],
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"series": self.series,
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"final": self.final,
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"diagnostics": self.diagnostics,
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}
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class _UnionFind:
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def __init__(self, items: set[Endpoint]) -> None:
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self.parent = {item: item for item in items}
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def find(self, item: Endpoint) -> Endpoint:
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parent = self.parent[item]
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if parent != item:
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self.parent[item] = self.find(parent)
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return self.parent[item]
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def union(self, first: Endpoint, second: Endpoint) -> None:
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first_root = self.find(first)
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second_root = self.find(second)
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if first_root != second_root:
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self.parent[second_root] = first_root
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def _equation_port(component_name: str, variable: str) -> Endpoint | None:
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parts = variable.rsplit(".", 2)
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if len(parts) != 3:
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return None
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prefix, port_name, variable_name = parts
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if prefix != component_name or variable_name != "p":
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return None
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return Endpoint(component_name, port_name)
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def simulation_preparation_issues(
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network: SimulationNetwork,
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) -> tuple[SimulationPreparationIssue, ...]:
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issues: list[SimulationPreparationIssue] = []
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physical_endpoints = {
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Endpoint(component.name, definition.name)
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for component in network.components.values()
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for definition in component.port_definitions
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if definition.kind == "physical"
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}
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connected_endpoints = {
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endpoint
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for connection in network.connections
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if connection.kind == "physical"
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for endpoint in connection.endpoints
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}
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for endpoint in sorted(physical_endpoints - connected_endpoints, key=str):
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issues.append(
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SimulationPreparationIssue(
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"PORT_UNCONNECTED",
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f"Physical port {endpoint} must be connected before simulation.",
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)
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)
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structure = network.pressure_flow_structure_dict()
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if not structure["isSquare"]:
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issues.append(
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SimulationPreparationIssue(
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"PRESSURE_FLOW_SYSTEM_NOT_SQUARE",
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"Pressure-flow equation count does not match the unknown count: "
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f"{structure['equationCount']} equations for {structure['unknownCount']} unknowns.",
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)
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)
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dynamic_names = {
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component.name
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for component in network.components.values()
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if isinstance(component, DynamicComponent)
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}
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if not dynamic_names:
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issues.append(
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SimulationPreparationIssue(
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"DYNAMIC_STATE_MISSING",
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"Each simulated network requires at least one storage component.",
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)
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)
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adjacency = {name: set() for name in network.components}
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for connection in network.connections:
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first, second = connection.endpoints
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adjacency[first.component].add(second.component)
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adjacency[second.component].add(first.component)
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remaining = set(adjacency)
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while remaining:
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start = remaining.pop()
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group = {start}
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stack = [start]
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while stack:
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current = stack.pop()
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for neighbour in adjacency[current] - group:
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group.add(neighbour)
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remaining.discard(neighbour)
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stack.append(neighbour)
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if not (group & dynamic_names):
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issues.append(
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SimulationPreparationIssue(
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"ALGEBRAIC_ISLAND_HAS_NO_STORAGE",
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"A connected physical network has no pressure/enthalpy storage anchor: "
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+ ", ".join(sorted(group))
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+ ".",
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)
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)
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if physical_endpoints:
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effort_groups = _UnionFind(physical_endpoints)
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for connection in network.connections:
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if connection.kind == "physical":
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effort_groups.union(*connection.endpoints)
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storage_ports: dict[Endpoint, str] = {}
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for component in network.components.values():
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for equation in component.pressure_flow_equation_residuals():
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pressure_ports = [
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endpoint
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for variable in equation.variables
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if (endpoint := _equation_port(component.name, variable)) is not None
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]
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if equation.relation == "equal" and len(pressure_ports) == 2:
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effort_groups.union(pressure_ports[0], pressure_ports[1])
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if equation.relation == "state":
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for endpoint in pressure_ports:
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storage_ports[endpoint] = component.name
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storages_by_group: dict[Endpoint, dict[Endpoint, str]] = {}
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for endpoint, component_name in storage_ports.items():
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storages_by_group.setdefault(effort_groups.find(endpoint), {})[
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endpoint
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] = component_name
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for storage_endpoints in storages_by_group.values():
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storage_names = set(storage_endpoints.values())
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if len(storage_names) > 1:
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if ideal_storage_group_is_reducible(
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network,
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storage_endpoints,
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):
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continue
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issues.append(
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SimulationPreparationIssue(
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"IDEAL_STORAGE_COUPLING_UNSUPPORTED",
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"Storage components are connected without a resistance: "
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+ ", ".join(sorted(storage_names))
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+ ". Insert an orifice or pipe between them.",
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)
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)
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return tuple(issues)
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def simulation_sample_times(
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config: SolveIVPConfig,
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step: float,
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*,
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max_points: int = 10001,
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) -> list[float]:
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if step <= 0.0 or not isfinite(step):
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raise ValueError("Simulation sample step must be finite and greater than zero.")
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duration = config.t_stop - config.t_start
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if duration <= 0.0:
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raise ValueError("Simulation stop time must be greater than start time.")
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interval_count = int(floor(duration / step + 1e-12))
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times = [config.t_start + index * step for index in range(interval_count + 1)]
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if times[-1] < config.t_stop - 1e-12:
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times.append(config.t_stop)
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else:
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times[-1] = config.t_stop
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if len(times) > max_points:
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raise ValueError(
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f"Simulation requests {len(times)} samples; the limit is {max_points}."
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)
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return times
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class GenericFluidSystem:
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"""Topology-driven, semi-explicit fluid simulation for registered components."""
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def __init__(self, network: SimulationNetwork) -> None:
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issues = simulation_preparation_issues(network)
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if issues:
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raise SimulationPreparationError(issues)
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self.network = network
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self.dynamic_components = network.dynamic_components()
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self.mechanical_state_reducer = MechanicalStateReducer(
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network,
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self.dynamic_components,
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)
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self.pneumatic_storage_reducer = IdealPneumaticStorageReducer(
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network,
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self.mechanical_state_reducer,
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)
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self.pressure_flow_solver = PressureFlowSolver(network)
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self.pneumatic_volume_resolver = PneumaticVolumeResolver(network)
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self.signal_resolver = SignalResolver(network)
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self.stream_resolver = StreamResolver(network)
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self.algebraic_solve_count = 0
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self.max_algebraic_residual = 0.0
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self.max_algebraic_evaluations = 0
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self.max_stream_iterations = 0
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self.signal_propagation_count = 0
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self.pneumatic_volume_propagation_count = 0
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def initial_state_vector(self) -> list[float]:
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return self.pneumatic_storage_reducer.synchronize_state_vector(
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self.mechanical_state_reducer.initial_state_vector(),
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validate=True,
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)
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def apply_state_vector(self, values: list[float]) -> None:
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self.mechanical_state_reducer.apply_state_vector(
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self.pneumatic_storage_reducer.synchronize_state_vector(values)
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)
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def _close_current_state(self, time: float) -> dict[str, dict[str, float]]:
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signal = self.signal_resolver.solve(time)
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self.signal_propagation_count += signal.propagated
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for component in self.dynamic_components:
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component.refresh_thermodynamic_ports()
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algebraic = self.pressure_flow_solver.solve()
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pneumatic_volume = self.pneumatic_volume_resolver.solve()
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self.pneumatic_volume_propagation_count += pneumatic_volume.propagated
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if pneumatic_volume.propagated:
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for component in self.dynamic_components:
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component.refresh_thermodynamic_ports()
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algebraic = self.pressure_flow_solver.solve()
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stream, connected_h = self.stream_resolver.solve()
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# Some constitutive flow laws recover their upstream temperature from
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# the connected stream enthalpy. Stream propagation updates that
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# cache after the first pressure-flow pass, so refresh explicit flows
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# once more before evaluating state derivatives and result variables.
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algebraic = self.pressure_flow_solver.solve()
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self.mechanical_state_reducer.update_constraint_accelerations()
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self.algebraic_solve_count += 2 + int(bool(pneumatic_volume.propagated))
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self.max_algebraic_residual = max(
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self.max_algebraic_residual,
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algebraic.max_scaled_residual,
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)
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self.max_algebraic_evaluations = max(
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self.max_algebraic_evaluations,
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algebraic.evaluations,
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)
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self.max_stream_iterations = max(
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self.max_stream_iterations,
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stream.iterations,
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)
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return connected_h
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def consistent_initial_state_vector(self, time: float = 0.0) -> list[float]:
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state = self.initial_state_vector()
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self.apply_state_vector(state)
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self._close_current_state(time)
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return state
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def rhs(self, _time: float, state_vector: list[float]) -> list[float]:
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self.apply_state_vector(state_vector)
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connected_h = self._close_current_state(_time)
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return self.pneumatic_storage_reducer.coupled_derivatives(
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self.mechanical_state_reducer.state_derivatives(connected_h)
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)
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def _append_current_state(self, series: dict[str, list[float]]) -> None:
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for component in self.network.components.values():
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for relative_key, value in component.result_values().items():
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series.setdefault(
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f"{component.name}.{relative_key}", []
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).append(value)
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def simulate(
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self,
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config: SolveIVPConfig,
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*,
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sample_step: float,
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progress_callback: SimulationProgressCallback | None = None,
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cancel_check: SimulationCancellationCheck | None = None,
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) -> GenericSimulationResult:
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last_reported_progress = -1.0
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last_reported_phase = ""
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def report_progress(
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progress: float,
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phase: str,
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*,
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force: bool = False,
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) -> None:
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nonlocal last_reported_phase, last_reported_progress
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if progress_callback is None:
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return
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bounded_progress = min(1.0, max(0.0, progress))
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if (
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force
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or phase != last_reported_phase
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or bounded_progress - last_reported_progress >= 0.0025
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):
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last_reported_phase = phase
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last_reported_progress = max(
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last_reported_progress,
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bounded_progress,
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)
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progress_callback(last_reported_progress, phase)
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report_progress(0.0, "initializing", force=True)
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t_eval = simulation_sample_times(config, sample_step)
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signal_event_times = self.signal_resolver.event_times(
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config.t_start,
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config.t_stop,
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)
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initial_state = self.consistent_initial_state_vector(config.t_start)
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report_progress(0.0, "integrating", force=True)
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duration = config.t_stop - config.t_start
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furthest_solver_time = config.t_start
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def report_solver_time(time: float) -> None:
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nonlocal furthest_solver_time
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furthest_solver_time = max(furthest_solver_time, float(time))
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time_fraction = (
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(furthest_solver_time - config.t_start) / duration
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if duration > 0.0
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else 1.0
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)
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report_progress(time_fraction, "integrating")
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def monitored_rhs(time: float, state_vector: list[float]) -> list[float]:
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if cancel_check is None:
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report_solver_time(time)
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return self.rhs(time, state_vector)
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solution = integrate_ode(
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rhs=monitored_rhs,
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initial_state=initial_state,
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config=config,
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t_eval=t_eval,
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cancel_check=cancel_check,
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accepted_step_callback=(
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report_solver_time if cancel_check is not None else None
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),
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breakpoints=signal_event_times,
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state_transition_handler=(
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self.mechanical_state_reducer.state_transition
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if self.mechanical_state_reducer.has_state_events
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else None
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),
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)
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if isinstance(solution, ODESolution):
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run_status: SimulationRunStatus = solution.status
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integration_error = solution.error
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else:
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run_status = "completed" if bool(solution.success) else "failed"
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integration_error = None
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result_message = str(solution.message)
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postprocess_progress = (
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1.0
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if run_status == "completed"
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else max(0.0, last_reported_progress)
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)
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report_progress(postprocess_progress, "postprocessing", force=True)
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times = [float(value) for value in solution.t]
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series: dict[str, list[float]] = {"time": []}
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postprocessing_error: Exception | None = None
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self.mechanical_state_reducer.reset_constraint_modes()
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for time_index in range(len(times)):
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if (
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run_status == "completed"
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and cancel_check is not None
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and cancel_check()
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):
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run_status = "cancelled"
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result_message = "Simulation was stopped while preparing partial results."
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break
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state = [
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float(solution.y[state_index][time_index])
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for state_index in range(len(solution.y))
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]
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try:
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self.apply_state_vector(state)
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self._close_current_state(times[time_index])
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self._append_current_state(series)
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series["time"].append(times[time_index])
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except Exception as exc:
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run_status = "failed"
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result_message = str(exc)
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postprocessing_error = exc
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break
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if len(series["time"]) < 2:
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if postprocessing_error is not None:
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raise postprocessing_error
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if integration_error is not None:
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raise integration_error
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final = {
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key: values[-1]
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for key, values in series.items()
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if key != "time" and values
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}
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diagnostics = {
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"pressureFlow": {
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"solveCount": self.algebraic_solve_count,
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"maxScaledResidual": self.max_algebraic_residual,
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"maxEvaluationsPerSolve": self.max_algebraic_evaluations,
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"last": (
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self.pressure_flow_solver.last_diagnostics.as_dict()
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if self.pressure_flow_solver.last_diagnostics is not None
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else None
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),
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},
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"stream": {
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"maxIterationsPerSolve": self.max_stream_iterations,
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"last": (
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self.stream_resolver.last_diagnostics.as_dict()
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if self.stream_resolver.last_diagnostics is not None
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else None
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),
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},
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"signal": {
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"propagations": self.signal_propagation_count,
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"eventTimes": list(signal_event_times),
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"last": (
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self.signal_resolver.last_diagnostics.as_dict()
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if self.signal_resolver.last_diagnostics is not None
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else None
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),
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},
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"pneumaticVolume": {
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"propagations": self.pneumatic_volume_propagation_count,
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"last": (
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self.pneumatic_volume_resolver.last_diagnostics.as_dict()
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if self.pneumatic_volume_resolver.last_diagnostics is not None
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else None
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),
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},
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"stateCount": len(initial_state),
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"sampleCount": len(series["time"]),
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}
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variables = tuple(
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variable
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for variable in self.network.result_variable_metadata()
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if variable.key in series
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)
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report_progress(
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1.0 if run_status == "completed" else max(0.0, last_reported_progress),
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"complete" if run_status == "completed" else run_status,
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force=True,
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)
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return GenericSimulationResult(
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|
success=run_status == "completed" and bool(solution.success),
|
|
status=run_status,
|
|
message=result_message,
|
|
simulated_until=(
|
|
float(series["time"][-1])
|
|
if series["time"]
|
|
else float(config.t_start)
|
|
),
|
|
requested_stop_time=float(config.t_stop),
|
|
variables=variables,
|
|
series=series,
|
|
final=final,
|
|
diagnostics=diagnostics,
|
|
)
|