{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import SentSeg\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[['Die', 'Frau', 'von', 'den', 'Bergen', 'ist', 'eine', 'gute', 'Partie.']], [['Es', 'war', 'die', 'Frau', 'mit', 'den', 'Klauen,', 'die', 'ein', 'größeres', 'Problem', 'mit', 'der', 'Geschichte', 'hatte.']]]\n"
     ]
    }
   ],
   "source": [
    "sent_seg = SentSeg.SentSeg('de')\n",
    "\n",
    "    \n",
    "sentences = sent_seg.ReadDoc2Sent('atest1')\n",
    "print(sentences)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'done'"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "sent_seg.LoadSentGlueSGDandGSUtils()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "creating array of comma or not..\n",
      "done\n",
      "[[['Hallo', 'was', 'gehe', 'denn', 'hier', 'so.'], [0, ['Hallo']], [0, ['Hallo']], [0, ['Hallo']]], [['Ich', 'habe', 'echt', 'keine', 'Ahnung', 'verdammt.'], [0, ['Ich']], [0, ['Ich']], [0, ['Ich']]], [['I.', 'd.', 'R.', 'gibt', 'es', 'keine', 'Abschiebungen.'], [0, ['I.']], [0, ['I.']], [0, ['I.']]], [['Ende', 'd.', 'J.', 'wird', 'alles', 'problematisch.'], [0, ['Ende']], [0, ['Ende']], [0, ['Ende']]], [['Sie', 'gingen', 'nach', 'Hause,', 'weil', 'es', 'in', 'Strömen', 'regnete.'], [1, ['Sie', 'weil']], [1, ['Sie', 'weil']], [1, ['Sie', 'weil']]], [['Heute', 'war', 'die', 'Straße', 'blau', 'angemalt,', 'damit', 'der', 'Marathon', 'funktionierte.'], [1, ['Heute', 'damit']], [1, ['Heute', 'damit']], [1, ['Heute', 'damit']]], [['Er', 'habe', 'es', 'sehr', 'schwer.'], [0, ['Er']], [0, ['Er']], [0, ['Er']]], [['Es', 'war', 'die', 'Hose', 'des', 'Gauners.'], [0, ['Es']], [0, ['Es']], [0, ['Es']]], [['Bliblablub.'], [0, ['Bliblablub']], [0, ['Bliblablub']], [0, ['Bliblablub']]], [['Sie', 'ist', 'nicht', 'schön', 'heute.'], [0, ['Sie']], [0, ['Sie']], [0, ['Sie']]], [['Oleoleole.'], [0, ['Oleoleole']], [0, ['Oleoleole']], [0, ['Oleoleole']]], [['Mannoman.'], [0, ['Mannoman']], [0, ['Mannoman']], [0, ['Mannoman']]], [['Er', 'ginge', 'nicht', 'schnell.'], [0, ['Er']], [0, ['Er']], [0, ['Er']]], [['Die', 'Hühner', 'lieben', 'sich', 'nicht.'], [0, ['Die']], [0, ['Die']], [0, ['Die']]]]\n"
     ]
    }
   ],
   "source": [
    "sentences = sent_seg.putAppendixesIntoOwnSentences(sentences, punctuations)\n",
    "print(sentences)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentences = sent_seg.GetUtteranceNumber(sentences)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "sentences = sent_seg.GetQuestionOrNot(sentences)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "importing spacy..\n",
      "done\n"
     ]
    }
   ],
   "source": [
    "sentences1 = sent_seg.SplitSentencesIntoHauptNebenTuple(sentences)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "['es', 'regnete', 'in Strömen']\n",
      "['deswegen', 'Sie', 'gingen', 'nach Hause']\n",
      "['Heute', 'war', 'blau', 'angemalt', 'die Straße']\n",
      "100\n",
      "['dann', 'funktionierte', 'der Marathon']\n"
     ]
    }
   ],
   "source": [
    "outsentences = sent_seg.SplitCommatas(sentences1)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[['Hallo', 'was', 'gehe', 'denn', 'hier', 'so'], ['Ich', 'habe', 'echt', 'keine', 'Ahnung', 'verdammt'], ['I.', 'd.', 'R.', 'gibt', 'es', 'keine', 'Abschiebungen'], ['Ende', 'd.', 'J.', 'wird', 'alles', 'problematisch'], ['in', 'Strömen', 'regnete', 'e'], ['deswegen', 'gingen', 'Sie', 'nach', 'Haus'], ['angemalt', 'war', 'die', 'Straße', 'blau', 'Heut'], ['dann', 'der', 'Marathon', 'funktioniert'], ['Er', 'habe', 'es', 'sehr', 'schwer'], ['Es', 'war', 'die', 'Hose', 'des', 'Gauners'], ['Bliblablub'], ['Oleoleole'], ['Mannoman'], ['Er', 'ginge', 'nicht', 'schnell'], ['Der', 'Satz', 'davor', 'funktioniert', 'nicht', 'im', 'Modul', 'Konjunktsolve'], ['Weil', 'er', 'zu', 'viele', 'verben', 'hat']]\n"
     ]
    }
   ],
   "source": [
    "print(outsentences)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "punctuations = []\n",
    "for n in range(len(outsentences)):\n",
    "    punctuations.append('.')\n",
    "    if outsentences[n][-1][-1] == '.':\n",
    "        outsentences[n][-1] = outsentences[n][-1][:-1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [],
   "source": [
    "from oi import *\n",
    "oi = oi()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n",
      ".\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "'OK'"
      ]
     },
     "execution_count": 21,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "oi.PrintSplitSentencesToTextFile(punctuations, outsentences, 'test1out')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
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  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
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