kucha007 发表于 2024-1-22 16:52:00

【FTA】修复天正转角(基于当前UCS)

本帖最后由 kucha007 于 2024-1-23 10:01 编辑

复制天正对象到不同的UCS下时,转角改变通常需要手动调整。
但对象类型太多了,实操麻烦。干脆写个简单的程序代替这个过程吧。


;基于当前UCS修复天正对象的转角(除文字外)
(defun C:FTA (/ DOC UCSAng SS i obj)
(if (null vlax-dump-object) (vl-load-com));;将Visual LISP扩展功能加载到AutoLISP
(setq DOC (vla-get-ActiveDOCument (vlax-get-acad-object)))
(defun *error* (x) ;出错函数
    (vla-endundomark Doc) ;结束编组
)

(while (eq 8 (logand 8 (getvar 'undoctl)))
      (vla-endundomark DOC)
);关闭以前的编组
(vla-startundomark Doc) ;记录编组
    (setq UCSAng (atan (cadr (getvar 'ucsxdir)) (car (getvar 'ucsxdir))));UCS相对于世界坐标的夹角
    (if (<= UCSAng 0.0)(setq UCSAng (+ (* 2 pi) UCSAng)));负值修复
    (while
      (and
          (princ "\n——★★★ 请选择天正对象 ★★★——\n")
          (setq SS (ssget '((0 . "TCH_*"))))
      )
      (repeat (setq i (sslength SS))
          (setq obj (Vlax-Ename->Vla-Object (ssname SS (setq i (1- i)))))
          (if
            (and
                (vlax-property-available-p obj "LayoutRotation") ;存在转角属性
                (not (wcmatch (Vlax-Get obj 'ObjectName) "TDb*Text"));不是天正文字
            )
            (vlax-Put obj 'LayoutRotation (* 180 (/ UCSAng pi)))
          )
      )
    )
(vla-endundomark Doc) ;结束编组
(princ)
)

陈伟 发表于 2024-1-23 09:51:40

data:image/png;base64,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天正T20 V9.0选取不了天正图元

kucha007 发表于 2024-1-23 10:02:28

陈伟 发表于 2024-1-23 09:51
天正T20 V9.0选取不了天正图元

代码之前写错了,已经更新,再试试
页: [1]
查看完整版本: 【FTA】修复天正转角(基于当前UCS)