cmcc_gy 发表于 2022-4-20 15:52:20

求助!python开发 pywin32

本人最近刚入手开发cad,编程语言使用的是python,主要用pywin32包,在绘制3DSolid的时候遇到了个问题,我想使用这个方法RetVal=object.AddExtrudedSolidAlongPath(Profile, Path),Profile值得是面域,Path指的是拉伸的路径,现在的问题是参数的传入,每次运行时候都会有图片上的错误,求教我应该怎么做?



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

jacenhe 发表于 2022-11-4 10:51:50

本帖最后由 jacenhe 于 2022-11-4 10:53 编辑

提供一个更简单的方法:
利用 Python 就可以方便地调用AutoCAD,不用装啥 pywin32。

例子:import com.cad;
var cad = com.cad();
var VL = cad.GetInterfaceObject("vl.application.16");

import py3;
py3.main.VL = py3.export(VL.ActiveDocument.Functions);

var pyCode = /**
def testPy():
path = VL("GetFiled")("打开文件:", "./", "*", 8)
return path
**/

//执行Python代码
py3.exec( pyCode )

//调用 Python 函数
var path = py3.main.testPy();
Python + aardio 混合开发非常方便,
参考我在头条写的文章:《 aardio + Python 可视化快速开发桌面程序,一键生成独立 EXE 》

可参考 aardio 自带范例:
范例> COM 组件 > AutoCAD
范例> 调用其他语言 > Python

landsat99 发表于 2023-1-9 19:12:10

本帖最后由 landsat99 于 2023-1-9 20:10 编辑

外部调用不完善的cad api,并且你还用非官方推荐的java go python这些技术栈,办法至少有三类。 一是用c++把acad提供的arx框架二次封装,用什么就封出来,并extern “C”方式暴露出接口,python可以用ctypes库匹配类型调用。二是把acad的.net库二次封装为传统COM库,核心net库是acad主推的bug少,封装成com规范的dll方便多种调用,不限python。com库出来后需要注册表注册,传统方式了。三是c#封装net标准库为你团队的二次库,起码 py java c#都能用。python用pythonnet包匹配,import cls,这个net封装的是class,和方案一的函数封装略有不同 每次要实例化才能用。java调用是jni4net包来匹配即可。

cmcc_gy 发表于 2022-10-20 11:13:34

w8826543 发表于 2022-5-23 21:26
楼主,object.AddExtrudedSolidAlongPath(Profile, Path)我也遇到了问题,请问这个解决了吗?

AddRegion方法不返回区域对象,而是返回该区域中的对象数组(变体)
部分代码如下
RetVal = self.msp.AddRegion(ObjectList)
line = self.msp.Add3Dpoly( self.vtlist(, num, num, num, num, num]))
line_for_3D = self.msp.AddExtrudedSolidAlongPath(RetVal, line)

w8826543 发表于 2022-5-23 21:26:46

楼主,object.AddExtrudedSolidAlongPath(Profile, Path)我也遇到了问题,请问这个解决了吗?

mylovecc 发表于 2022-6-7 10:08:07

python写这个玩意儿真的拉跨,com口功能不够强大,python调用速度又慢,趁早放弃

陈宫在家吗 发表于 2022-10-29 22:31:07

mylovecc 发表于 2022-6-7 10:08
python写这个玩意儿真的拉跨,com口功能不够强大,python调用速度又慢,趁早放弃

我用python做的插件,动不动报错……有时就运行好好的,有时就呼叫失败……真的太拉跨!

ecust_qh 发表于 2023-1-5 15:22:16

想用C#开发了

landsat99 发表于 2023-1-9 18:46:15

首先明确的是,这问题与python及win32com并没任何关系,是cad的com api不完善导致。记得以前有人提过AddExtrudedSolidAlongPath等三维造型命令在com框架下有bug。另外我用官方提供的com代码也验证了 确实属实。

landsat99 发表于 2023-1-9 18:50:31

acad的com框架十几年前就开始边缘化了,,vba不默认安装#官芳也不推荐这个接口com,有几个万年老bug不奇怪
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