{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = open('unreal.txt').read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "lines = data.split('\\n')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "import re\n",
    "\n",
    "def getNumber(text):\n",
    "    if text == '()':\n",
    "        return 0.0\n",
    "    text = text[1:-1]\n",
    "    return float(text.split('=')[1])\n",
    "\n",
    "def extract(data, relative=True):\n",
    "    #print(data)\n",
    "    times = re.match(r'.*Times=\\((.*)\\),Values=', data).group(1)\n",
    "    values = re.match(r'.*Values=\\((.*)\\),(Default|TickResolution)', data).group(1)\n",
    "    values=re.sub(r',Tangent=\\([A-Za-z0-9-=,.]*\\)', '', values)\n",
    "    times = times.split(',')\n",
    "    values = values.split(',')\n",
    "    \n",
    "    res = []\n",
    "    for x, y in zip(times, values):\n",
    "        res.append([int(getNumber(x)/1000.0), getNumber(y)])\n",
    "        \n",
    "    if relative:\n",
    "        # make it relative to the first value\n",
    "        for i in range(len(res) - 1):\n",
    "            res[i+1][1] -= res[0][1]\n",
    "        res[0][1] = 0\n",
    "    \n",
    "    return res"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 85,
   "metadata": {},
   "outputs": [],
   "source": [
    "translation = []\n",
    "rotation = []\n",
    "\n",
    "for line in lines:\n",
    "    line = line.strip()\n",
    "    if line.startswith('Translation'):\n",
    "        data = extract(line)\n",
    "        for i in range(len(data)):\n",
    "            data[i][1] /= 100\n",
    "        translation.append(data)\n",
    "    if line.startswith('Rotation'):\n",
    "        data = extract(line, relative=False)\n",
    "        rotation.append(data)"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "__Swap Y and Z Axis__"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 86,
   "metadata": {},
   "outputs": [],
   "source": [
    "translation = [translation[0], translation[2], translation[1]]\n",
    "rotation = [rotation[0], rotation[2], rotation[1]]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
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     ]
    }
   ],
   "source": [
    "print(translation)\n",
    "print(rotation)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 84,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pickle\n",
    "\n",
    "with open('translation.pkl', 'wb') as f:\n",
    "  pickle.dump(translation, f)\n",
    "  \n",
    "with open('rotation.pkl', 'wb') as f:\n",
    "  pickle.dump(rotation, f)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.6.6"
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  "orig_nbformat": 4
 },
 "nbformat": 4,
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}