{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "from datetime import datetime\n",
    "import pathlib\n",
    "import json"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "list((pathlib.Path()/'srv1').iterdir())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 55,
   "metadata": {
    "scrolled": true
   },
   "outputs": [],
   "source": [
    "txtfiles = list((pathlib.Path()/'textfiles').iterdir())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[WindowsPath('textfiles/transcript1-1.txt'),\n",
       " WindowsPath('textfiles/transcript2-1.txt'),\n",
       " WindowsPath('textfiles/transcript3-1.txt'),\n",
       " WindowsPath('textfiles/transcript4-1.txt'),\n",
       " WindowsPath('textfiles/transcript4-2.txt'),\n",
       " WindowsPath('textfiles/transcript5-1.txt'),\n",
       " WindowsPath('textfiles/transcript5-2.txt'),\n",
       " WindowsPath('textfiles/transcript5-3.txt'),\n",
       " WindowsPath('textfiles/transcript6-1.txt')]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "txtfiles"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [],
   "source": [
    "def make_json(txtfile):\n",
    "    my_dict = {}\n",
    "    with txtfile.open() as f:\n",
    "        cnt = 0\n",
    "        for line in f:\n",
    "            if (cnt%3)==0:\n",
    "                a = line\n",
    "                a[0].split(',.')\n",
    "                b = a.split(',')[0]\n",
    "                dt = datetime.strptime(b.split('.')[0], '%H:%M:%S')\n",
    "                tm = f'{dt.hour*60 + dt.minute:02d}' + \":\" + f'{dt.second:02d}'\n",
    "            if (cnt%3)==1:\n",
    "                txt = line.strip()\n",
    "            if (cnt%3)==2:\n",
    "                my_dict[tm] = txt\n",
    "            cnt += 1\n",
    "    json.dump(my_dict, txtfile.with_suffix('.json').open('w'), indent=2)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "for txtfile in txtfiles:\n",
    "    make_json(txtfile)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "json.dump()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = '0:00:00.000,0:00:04.440\\n'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 40,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'00:00'"
      ]
     },
     "execution_count": 40,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a[0].split(',.')\n",
    "b = a.split(',')[0]\n",
    "dt = datetime.strptime(b.split('.')[0], '%H:%M:%S')\n",
    "f'{dt.hour + dt.minute:02d}' + \":\" + f'{dt.second:02d}'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 37,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "dt.minute"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.7.1"
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 },
 "nbformat": 4,
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}