{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import requests\n",
    "from bs4 import BeautifulSoup\n",
    "import re"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "def parse(url):\n",
    "    response = requests.get(url)\n",
    "    response.raise_for_status()\n",
    "\n",
    "    soup = BeautifulSoup(response.text, \"html.parser\")\n",
    "\n",
    "    pattern = re.compile(r\"—\\d+→\")\n",
    "\n",
    "    cuerpo_div = soup.find(\"div\", id=\"cuerpo\")\n",
    "\n",
    "    text_list = []\n",
    "    if cuerpo_div:\n",
    "        for p in cuerpo_div.find_all(\"p\"):  # Iterate through all <p> elements\n",
    "            full_text = \" \".join(p.stripped_strings).replace(\"\\n\", \" \")\n",
    "            cleaned_text = pattern.sub(\"\", full_text)\n",
    "            if cleaned_text:\n",
    "                text_list.append(cleaned_text)\n",
    "\n",
    "    return text_list"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "t1 = parse(\n",
    "    \"https://www.cervantesvirtual.com/obra-visor/manuela-novela-de-costumbres-colombianas-tomo-primero--0/html/ff1e97e4-82b1-11df-acc7-002185ce6064_2.html\"\n",
    ")\n",
    "t2 = parse(\n",
    "    \"https://www.cervantesvirtual.com/obra-visor/manuela-novela-de-costumbres-colombianas-tomo-segundo--0/html/ff1ea73e-82b1-11df-acc7-002185ce6064_7.html\"\n",
    ")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "texts = t1[:-2] + t2[:-2]\n",
    "volume = [1] * len(t1[:-2]) + [2] * len(t2[:-2])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "\n",
    "df = pd.DataFrame({\"volume\": volume, \"text\": texts})\n",
    "df.to_csv(\"manuela.tsv\", sep='\\t', index=False)\n",
    "df.to_parquet(\"manuela.parquet\", index=False)"
   ]
  }
 ],
 "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": "3.11.9"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}