{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "from pathlib import Path\n",
    "from tqdm import tqdm"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "this_dir_path = Path().resolve()\n",
    "data_path = this_dir_path / \"Data\"\n",
    "input_verb_path = data_path / \"verbs_noor.txt\"\n",
    "htmls_path = data_path / \"htmls_noor\"\n",
    "output_verb_path = data_path / \"verbs_noor.json\""
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open(input_verb_path, \"r\") as f:\n",
    "    verbs = [verb[:-1] for verb in f.readlines()]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 3/3 [00:01<00:00,  2.62it/s]\n"
     ]
    }
   ],
   "source": [
    "for verb in tqdm(verbs):\n",
    "    response = requests.get(\"http://search.dadegan.ir/\", params={\"q\": verb})\n",
    "    with open(htmls_path / (verb + \".html\"), \"w\") as f:\n",
    "        f.write(response.text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4167/4167 [00:22<00:00, 186.02it/s]\n"
     ]
    }
   ],
   "source": [
    "result = {}\n",
    "\n",
    "for verb in tqdm(verbs):\n",
    "    with open(htmls_path / (verb + \".html\"), \"r\") as f:\n",
    "        text = f.read()\n",
    "    soup = BeautifulSoup(text, \"html.parser\")\n",
    "\n",
    "    stems = soup.findAll(\"td\", {\"class\": \"c3\"})[1:]\n",
    "    past_stem = stems[0].text\n",
    "    present_stem = stems[1].text\n",
    "\n",
    "    result[verb] = {}\n",
    "\n",
    "    result[verb][\"past_stem\"] = past_stem\n",
    "    result[verb][\"present_stem\"] = present_stem"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
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