dxf2stitch-Meander.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 102,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "import dxfgrabber  #after doing \"pip install dxfgrabber\" from a terminal window\n",
    "#CKH the plan is to create 2D cad files then move them out as dxf, spit out a csv file of xy points along paths it finds\n",
    "#Another program reads the xy points to create an embroidery pattern"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "dxf=dxfgrabber.readfile(\"MThreadOnlySparse.dxf\") #see https://pythonhosted.org/dxfgrabber/   "
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 104,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "DXF version: AC1018\n"
     ]
    }
   ],
   "source": [
    "print(\"DXF version: {}\".format(dxf.dxfversion))\n",
    "header_var_count = len(dxf.header) # dict of dxf header vars\n",
    "#what else is here? see this http://stackoverflow.com/questions/16634209/python-how-to-use-a-third-party-library"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 105,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "0\n",
      "7\n",
      "Layer 1\n",
      "7\n"
     ]
    }
   ],
   "source": [
    "for layer in dxf.layers:  #peeking at what is here\n",
    "    print layer.name\n",
    "    print layer.color"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<dxfgrabber.entities.Spline at 0x106cd6b90>]"
      ]
     },
     "execution_count": 106,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "#get all entities on layer x --this does nothing but it is an example of what's available\n",
    "all_layer_0_entities = [entity for entity in dxf.entities if entity.layer == '0']\n",
    "all_layer_1_entities = [entity for entity in dxf.entities if entity.layer == '1']\n",
    "all_entities = [entity for entity in dxf.entities]\n",
    "all_entities #I had a file where this did NOT find all the data\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "#all_entities=[]#so for this file I am starting over"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 108,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "1"
      ]
     },
     "execution_count": 108,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dxf.entities.__len__()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 109,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "for block in dxf.blocks:\n",
    "    #print len(block)\n",
    "    #print block.name  #These names and layers change from file to file, I am just peeking\n",
    "    #print dir(block)\n",
    "    #print block._entities\n",
    "    all_entities.extend(block._entities)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[<dxfgrabber.entities.Spline at 0x106cd6b90>]"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "all_entities"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 111,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['__class__', '__delattr__', '__dict__', '__doc__', '__format__', '__getattribute__', '__hash__', '__init__', '__module__', '__new__', '__reduce__', '__reduce_ex__', '__repr__', '__setattr__', '__sizeof__', '__str__', '__subclasshook__', '__weakref__', 'color', 'controlpoints', 'degree', 'dxftype', 'endtangent', 'extrusion', 'fitpoints', 'flags', 'invisible', 'is_closed', 'is_linear', 'is_periodic', 'is_planar', 'is_rational', 'knots', 'layer', 'linetype', 'ltscale', 'normalvector', 'paperspace', 'shadow_mode', 'starttangent', 'thickness', 'tol_controlpoint', 'tol_fitpoint', 'tol_knot', 'transparency', 'true_color', 'weights']\n",
      "SPLINE\n",
      "duplicate points found\n",
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     ]
    }
   ],
   "source": [
    "stitchxdata=[]\n",
    "stitchydata=[]\n",
    "for entity in all_entities:\n",
    "    print dir(entity)  #How I found out about the dxftype attribute. Splines are found in illustrator dxf file.\n",
    "    print entity.dxftype\n",
    "    if entity.dxftype == 'POLYLINE':  #did not find polylines in illustrator dxf file I made, but they were in Huichan's dxf\n",
    "        #print dir(entity)\n",
    "        for vertex in entity.vertices:\n",
    "             #print vertex.location\n",
    "             stitchxdata.append(vertex.location[0])\n",
    "             stitchydata.append(vertex.location[1])\n",
    "    if entity.dxftype == 'SPLINE':  #the splines ctrl points are chunky so in Illustrator i did \"add anchor points\" and hand edited\n",
    "        prevx=[]\n",
    "        prevy=[]\n",
    "        for point in entity.controlpoints: #Does chunky matter? Will the fiber just flow around the corners bc it is sorta rigid?\n",
    "            if ((point[0]==prevx) and (point[1]==prevy)):\n",
    "                print('duplicate points found')\n",
    "            else:\n",
    "                stitchxdata.append(point[0]*25.4)#my illustrator file was in inches\n",
    "                stitchydata.append(point[1]*25.4)\n",
    "                prevx=point[0]\n",
    "                prevy=point[1]# I would like to skip the hand-editing and interpolate this spline with evenly spaced points\n",
    "    if entity.dxftype == 'INSERT': #found this thing in a file I started from scratch in illustrator\n",
    "        print 'found an INSERT' \n",
    "        \n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
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      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "stitchxdata #just peeking"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 113,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(-40.0, 40.0, -30.0, 30.0)"
      ]
     },
     "execution_count": 113,
     "metadata": {},
     "output_type": "execute_result"
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    {
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jix1HRERKU9KfEjSznwDnAR+xMcz3AV7MedgiMkf2IiISgyaP6M1sopnNyHM7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\nRU5ErkJggg==\n",
      "text/plain": [
       "<matplotlib.figure.Figure at 0x106fbc950>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "%matplotlib inline\n",
    "import matplotlib.pyplot as plt\n",
    "#getting this from here http://nbviewer.ipython.org/github/ipython/ipython/blob/1.x/examples/notebooks/Part%203%20-%20Plotting%20with%20Matplotlib.ipynb\n",
    "plt.figure(1,figsize=(6,6))\n",
    "plt.plot(stitchxdata,stitchydata,'b.')\n",
    "plt.hold(True)\n",
    "plt.plot(stitchxdata,stitchydata,'r-')\n",
    "plt.axis('equal')\n",
    "\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 114,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": [
    "f=open('Meander.csv','w')\n",
    "for i in range(0,len(stitchxdata)):\n",
    "    f.write(\"%.3f,%.3f\\r\\n\"%(stitchxdata[i],stitchydata[i]))\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": false
   },
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 2",
   "language": "python",
   "name": "python2"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 2
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython2",
   "version": "2.7.11"
  },
  "widgets": {
   "state": {},
   "version": "1.1.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 0
}