lujingze
3bc4be3c06
原生结果series通过字节索引直传，C端使用Ryu精确回读编码和64 KiB批量写出；网页采用Float64缓存和CSV工作线程，减少结果处理与保存等待。 补充八路AME曲线核查、全流程分阶段计时、独立编码基准和复现工具，固定后续优化采用修正八路及rtol=1e-8。C写出1.1808→0.1638 s，点击到可查看8.0100→6.9756 s。 验证：最终10项编码专项、29项相关后端回归通过；8份原生结果逐位一致，16次网页结果/CSV/刷新恢复通过。前端构建及缓存/CSV专项在本轮结果处理工作中通过。环境、原始大结果与临时构建不纳入Git。
57 lines
1.9 KiB
Python
57 lines
1.9 KiB
Python
"""Backend-neutral simulation result and preparation error contracts."""
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from __future__ import annotations
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from dataclasses import dataclass
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from typing import TYPE_CHECKING, Literal
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if TYPE_CHECKING:
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from app.simulation.native_codegen.transport import NativeSeriesJson
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from app.simulation.core.metadata import ResultVariableMetadata
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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]] | NativeSeriesJson
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final: dict[str, float]
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diagnostics: dict[str, object]
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def as_dict(self, *, raw_series: bool = False) -> dict[str, object]:
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from app.simulation.native_codegen.transport import NativeSeriesJson
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series = self.series
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if isinstance(series, NativeSeriesJson) and not raw_series:
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series = series.materialize()
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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": series,
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"final": self.final,
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"diagnostics": self.diagnostics,
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}
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