Python 驱动的 ADS 自动化仿真框架与 API 实战指南

1. 自动化数据提取工具库详解

为了降低 ADS 仿真的程控开发门槛，我设计了一套通用的自动化工具库 auto_simulator.py。它封装了从环境配置、参数更新、仿真运行到结果提取的全流程，让开发者只需关注'如何将参数应用到电路'这一核心逻辑。

"""
通用自动化仿真模块
提供通用的 ADS 仿真自动化框架，支持批量参数扫描和结果提取。
用户只需实现参数更新接口即可使用。
"""
import pandas as pd
import numpy as np
import json
import os
from pathlib import Path
from abc import ABC, abstractmethod
from typing import Dict, List, Any, Optional, Callable
from keysight.ads.de import db_uu as db
from keysight.ads import dataset
import utils

class ParameterUpdater(ABC):
    """参数更新抽象接口"""
    @abstractmethod
    def update_parameters(self, design: db.Design, param_row: pd.Series) -> None:
        """
        更新电路参数
        Args:
            design: ADS 设计对象
            param_row: 包含参数值的 pandas Series
        """
        pass

class AutoSimulator:
    """通用自动化仿真器"""
    def __init__(self, parameter_updater: ParameterUpdater):
        
        .parameter_updater = parameter_updater
        .design =

方法签名	`update_parameters(self, design: db.Design, param_row: pd.Series) -> None`
调用时机	`AutoSimulator` 在处理每一行参数样本时，会在执行仿真前调用此方法
design 参数	由 `setup_ads_environment` 打开的设计对象，类型为 `keysight.ads.de.db_uu.Design`。通过它可以访问原理图中的所有元件实例
param_row 参数	Pandas Series 对象，键为参数名（如 `"R1"`, `"Vbias"`），值为参数数值。这些键名对应输入 JSON/CSV 文件中的列名
返回值	无（`None`）。参数更新通过直接修改 `design` 对象完成

import os import keysight.ads.dataset as dataset from keysight.ads import de from keysight.ads.de import db_uu as db from enum import Enum from typing import Literal, Union from keysight.edatoolbox import ads class ViewType(Enum): SCHEMATIC = "schematic" SYMBOL = "symbol" LAYOUT = "layout" def get_workspace(workspace_path: str) -> de.Workspace: if de.workspace_is_open(): de.close_workspace() if os.path.exists(workspace_path): print(f"Workspace directory already exists: {workspace_path}") return de.active_workspace() workspace = de.create_workspace(workspace_path) workspace.open() return workspace def get_library(workspace: de.Workspace, name: str) -> de.Library: assert workspace.is_open library_path = workspace.path / name if os.path.exists(library_path): if de.library_is_open(name): de.close_library(name) return workspace.open_library(name, library_path, de.LibraryMode.SHARED) de.create_new_library(name, library_path) workspace.add_library(name, library_path, de.LibraryMode.SHARED) return workspace.open_library(name, library_path, de.LibraryMode.SHARED) def get_design( library: de.Library, name: str, view_type: ViewType = ViewType.SCHEMATIC, mode: db.DesignMode = db.DesignMode.APPEND ) -> db.Design: design_ref = f"{library.name}:{name}:{view_type.value}" if de.design_exists(design_ref): return db.open_design(design_ref, mode=mode) else: if view_type == ViewType.SCHEMATIC: design = db.create_schematic(design_ref) elif view_type == ViewType.SYMBOL: design = db.create_symbol(design_ref) elif view_type == ViewType.LAYOUT: design = db.create_layout(design_ref) else: raise ValueError(f"Invalid view type: {view_type}") return design class SimulationManager: """Complete simulation manager with temporary file cleanup and path safety handling""" def __init__(self, design: db.Design): self.design = design self.output_dir = os.path.join(self.design.cell.path, "data") self.netlist = None self.result = None self.result_path = os.path.join(self.output_dir, f"{self.design.cell_name}.ds") self.managed_simulator = ManagedCircuitSimulator() self.data_file_is_exist = os.path.exists(self.result_path) if self.data_file_is_exist: self.result = dataset.open(self.result_path) def run_design_simulation(self, output_dir=None, validate_name=True, **sim_kwargs): if output_dir is None: output_dir = self.output_dir os.makedirs(output_dir, exist_ok=True) print(f"=== Running simulation: {self.design.design_name} ===") if validate_name: self.validate_design_name() try: self.netlist = self.design.generate_netlist() if not self.netlist or len(self.netlist.strip()) == 0: raise RuntimeError("Generated netlist is empty") self.managed_simulator.run_netlist( netlist=self.netlist, output_dir=output_dir, **sim_kwargs ) self.data_file_is_exist = True except Exception as e: print(f"Simulation failed: {e}") raise def get_simulation_results(self) -> dataset.Dataset: if not self.data_file_is_exist: raise RuntimeError("Simulation has not been run or failed, cannot get results") return dataset.open(self.result_path)

Python 驱动的 ADS 自动化仿真框架与 API 实战指南