求高手帮忙编一段提取属性块坐标数值然后把属性块移动到对应坐标的LSP
本帖最后由 airuyi 于 2016-9-30 12:11 编辑data:image/png;base64,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
在下是个小白，但是遇到工地测量了几百个结构坐标的XYZ数据，要在图上把这些坐标点画出来，一个个画太慢了，求论坛的高手帮忙编写一个LSP程序，可以输入坐标之后运行LSP命令让属性块自动移动到对应坐标位置。
希望能实现如下功能：
附件已经定义好了这个属性块“自动坐标”的格式。
先在图中选择此属性块（一个或者多个）然后运行LSP命令，或者LSP运行命令后再在图中选择此属性块“自动坐标”（一个或者多个），
然后程序执行如下动作：首先选择坐标值提取方式
a.整个坐标值提取：
提取属性块“自动坐标”里面的FXYZ的数值（比如7,8,9之类）（如果不是坐标值就自动选择b方式）然后把这些属性块“自动坐标”分别移动到对应坐标值的位置。
b.单独坐标提取组合：
分别提取属性块“自动坐标”里面的FX和FY和FZ的数值（如果不是坐标值就自动选择a方式）组成一个坐标数值，然后把属性块“自动坐标”移到对应的坐标值的位置。
完成所有该属性块移动动作之后结束程序。
本帖最后由 Sylvanas 于 2016-9-29 09:20 编辑
(defun c:tt ()
(setq cmdecho (getvar "cmdecho"))
(setvar "cmdecho" 0)
(setq osmode (getvar "osmode"))
(setvar "osmode" 0)
(setq ss (ssget '((2 . "自动坐标"))))
(while (setq en (ssname ss 0))
(setq ss (ssdel en ss))
(setq ss1 (ssadd))
(setq ss1 (ssadd en ss1))
(setq dxf (entget en))
(setq en1(entnext en)
dxf1 (entget en1)
)
(if (wcmatch (setq txt (cdr (assoc 1 dxf1))) "*`,*`,*")
;(setq txt "1,2,3")(wcmatchtxt"*`,*`,*")
;(setq txt "aaa")(wcmatchtxt"*`,*`,*")
(setq txt1 ""
txtl '()
pt (reverse (progn (while (/= txt "")
(setq txt0 (substr txt 1 1))
(if (/= txt0 ",")
(setq txt1 (strcat txt1 txt0))
(setq txtl (cons (atof txt1) txtl)
txt1 ""
)
)
(setq txt (substr txt 2))
)
(setq txtl (cons (atof txt1) txtl))
)
)
)
(setq pt
(list (atof (cdr (assoc 1 (entget (setq en1 (entnext en1))))))
(atof (cdr (assoc 1 (entget (setq en1 (entnext en1))))))
(atof (cdr (assoc 1 (entget (setq en1 (entnext en1))))))
)
)
)
(command "move" ss1 "" (cdr (assoc 10 dxf)) pt)
)
(setvar "cmdecho" cmdecho)
(setvar "osmode" osmode)
(princ)
)
试一下吧
(defun c:tt (/ E FX FXYZ FY FZ N OBJ SS STR TAG) (vl-load-com)
(if (setq ss (ssget "x" '((0 . "insert") (2 . "自动坐标"))))
(repeat (setq n (sslength ss))
(setq obj (vlax-ename->vla-object
(setq e (ssname ss (setq n (1- n))))
)
)
(foreach att (vlax-invoke obj 'GetAttributes)
(setq tag (strcase (vla-get-TagString att))
str (vla-get-TextString att)
)
(if (= "FXYZ" tag)
(setq FXYZ str)
(if (= "FX" tag)
(setq FX str)
(if (= "FY" tag)
(setq FY str)
(if (= "FZ" tag)
(setq FZ str)
)
)
)
)
)
(while (/= FXYZ (setq FXYZ (vl-string-subst " " "," FXYZ))))
(setq FXYZ (read (strcat "(" FXYZ ")")))
(if (= 3 (length FXYZ))
(progn
(vla-put-InsertionPoint obj (vlax-3d-point FXYZ))
)
(progn
(vla-put-InsertionPoint
obj
(vlax-3d-point (list (atof FX) (atof FY) (atof FZ)))
)
)
)
)
)
(princ)
) 本帖最后由 Sylvanas 于 2016-9-29 15:02 编辑
airuyi 发表于 2016-9-29 14:44
不用转换啊，比如原来的坐标点是（1,1,1），就是改了UCS，然后再运行一次程序，就可以把属性块移动到对应 ...(defun c:tt ()
(setq cmdecho (getvar "cmdecho"))
(setvar "cmdecho" 0)
(setq osmode (getvar "osmode"))
(setvar "osmode" 0)
(setq ss (ssget '((2 . "自动坐标"))))
(while (setq en (ssname ss 0))
(setq ss (ssdel en ss))
(setq ss1 (ssadd))
(setq ss1 (ssadd en ss1))
(setq dxf (entget en))
(setq en1(entnext en)
dxf1 (entget en1)
)
(setq FXYZ nil)
(setq obj (vlax-ename->vla-object en))
(foreach att (vlax-invoke obj 'GetAttributes)
(setq tag(strcase (vla-get-TagString att))
str(vla-get-TextString att)
)
(cond ((= "FXYZ" tag) (setq FXYZ str))
((= "FX" tag) (setq FX str))
((= "FY" tag) (setq FY str))
((= "FZ" tag) (setq FZ str))
)
)
(while (/= FXYZ (setq FXYZ (vl-string-subst " " "," FXYZ))))
;(setq FXYZ "1,2,3")
(setq FXYZ (read (strcat "(" FXYZ ")")))
(if(= 3 (length FXYZ))
(setq pt FXYZ)
(setq pt (list (atof FX) (atof FY) (atof FZ)))
)
(command "move" ss1 "" (cdr (assoc 10 dxf)) (trans pt 1 0))
)
(setvar "cmdecho" cmdecho)
(setvar "osmode" osmode)
(princ)
)
好像没问题，你试一下 应该利用已测量的结构坐标XYZ数据结果直接插块 本帖最后由 airuyi 于 2016-9-29 17:23 编辑
xyp1964 发表于 2016-9-28 23:33
应该利用已测量的结构坐标XYZ数据结果直接插块
感谢版主回复，版主说得直接插块也是一种好方法，直接插块应该也要编辑坐标数据的。地盘测量出来的数据也都是单独的X数据和单独的Y数据还有单独的Z数据，最后还是要把这些数据变成一个坐标点。还需要在对应的点显示当前坐标，要把数据放到属性块里面。所以我还是希望可以批量导入坐标数据到属性块之后运行LSP使属性块自己移动到对应的位置。
希望有高手可以帮忙解决这个程序吧，谢谢了。
Gu_xl 发表于 2016-9-29 09:17
感谢版主，能不能在程序里面加入一个选择的方式，就是说可以选择一个或者几个要移动的属性块，其它不想移动的先不移动？ 本帖最后由 Sylvanas 于 2016-9-29 13:15 编辑
airuyi 发表于 2016-9-29 10:06
感谢版主，能不能在程序里面加入一个选择的方式，就是说可以选择一个或者几个要移动的属性块，其它不想移 ...
你把他那段代码里第二行的"x"删了就行了，带引号 Sylvanas 发表于 2016-9-29 13:14
你把他那段代码里第二行的"x"删了就行了，带引号
哈哈哈，已经删除了，可以用。谢谢两位高手帮忙！ 本帖最后由 airuyi 于 2016-9-29 13:55 编辑
Sylvanas 发表于 2016-9-29 13:14
你把他那段代码里第二行的"x"删了就行了，带引号
请问一下，版主的程序代码是移动到绝对坐标系的，如果我改变了UCS，再使用这个程序，那些属性块是不会动的。有没有办法可以改成相对坐标系，就是说如果我改变了UCS的原点，再使用程序，那么那些属性块会跟着新的UCS重新进行移动。 airuyi 发表于 2016-9-29 13:53
请问一下，版主的程序代码是移动到绝对坐标系的，如果我改变了UCS，再使用这个程序，那些属性块是不会动 ...
那你问版主吧
说实话他那段代码我有八成没看懂