{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "from glob import glob\n",
    "\n",
    "import os"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "waves = [\n",
    "    wave\n",
    "    for location in os.listdir('data')\n",
    "    for date in os.listdir(os.path.join('data', location))\n",
    "    for wave in os.listdir(os.path.join('data', location, date))\n",
    "]\n",
    "assert len(waves) == len(set(waves)), \"Not all filenames are unique :(\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [],
   "source": [
    "for location in os.listdir('data'):\n",
    "    for date in os.listdir(os.path.join('data', location)):\n",
    "        for wave in os.listdir(os.path.join('data', location, date)):\n",
    "            source = os.path.join('data', location, date, wave)\n",
    "            destination = os.path.join('per_word', wave.split('_')[1])\n",
    "            if not os.path.isdir(destination):\n",
    "                os.mkdir(destination)\n",
    "            os.rename(source, os.path.join(destination, wave))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas\n",
    "\n",
    "data = pandas.read_csv('/home/herbert/picture-game-result-export.csv', delimiter=';')\n",
    "data['Filename'] = [x.split('/')[-1] for x in data['Opname']]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "metadata": {},
   "outputs": [],
   "source": [
    "for word in os.listdir('per_word'):\n",
    "    for wave in os.listdir(os.path.join('per_word', word)):\n",
    "        source = os.path.join('per_word', word, wave)\n",
    "        if wave not in relevant:\n",
    "            destination = os.path.join('per_word', word, 'irrelevant_accent_' + wave)\n",
    "            os.rename(source, destination)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.to_excel('/home/herbert/picture-game-result-export-filename.xlsx')"
   ]
  }
 ],
 "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": "3.5.2"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}