{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import spacy\n",
    "from typing import List\n",
    "from collections import Counter\n",
    "\n",
    "from matplotlib import pyplot as plt \n",
    "import seaborn as sns\n",
    "sns.set_style(\"darkgrid\")\n",
    "sns.set_palette(\"mako\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_parquet(\"/Users/luis.morales/Desktop/arxiv-paper-recommender/data/processed/arxiv_papers.parquet.gzip\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [],
   "source": [
    "# text_corpus = df['cleaned_abstracts'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "def get_corpus_tokens(text_corpus: List[List[str]]) -> List[str]:\n",
    "    \"\"\"\n",
    "    Extracts tokens from a given text corpus using spaCy.\n",
    "    Args:\n",
    "        text_corpus (List[List[str]]): A list of lists where each inner list represents a document in the corpus.\n",
    "    Returns:\n",
    "        List[str]: A list of tokens extracted from the corpus.\n",
    "    \"\"\"\n",
    "    tokens = list()  \n",
    "    nlp = spacy.load('en_core_web_sm') \n",
    "    \n",
    "    for doc in text_corpus:\n",
    "        nlp_doc = nlp.make_doc(doc)\n",
    "        tokens.extend([token.text for token in nlp_doc])\n",
    "        \n",
    "    return tokens"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "# with open(\"/Users/luis.morales/Desktop/arxiv-paper-recommender/data/processed/corpus_tokens.txt\", \"w\") as file:\n",
    "#     list_string = '\\n'.join(str(item) for item in corpus_tokens)\n",
    "#     file.write(list_string)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def read_list_from_file(file_path: str):\n",
    "    \"\"\"\n",
    "    Reads a text file containing a list and converts it back to a Python list\n",
    "    Args:\n",
    "        file_path (str): Path to the text file\n",
    "    Returns:\n",
    "        list: The Python list read from the file.\n",
    "    \"\"\"\n",
    "    try:\n",
    "        with open(file_path, 'r') as file:\n",
    "            # Read the contents of the file\n",
    "            file_contents = file.read()\n",
    "            lines = file_contents.split('\\n')\n",
    "            plist = [item for item in lines if item]\n",
    "\n",
    "            return plist\n",
    "    except FileNotFoundError:\n",
    "        raise FileNotFoundError(\"The specified file cannot be found.\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "corpus_tokens = read_list_from_file(\"/Users/luis.morales/Desktop/arxiv-paper-recommender/data/processed/corpus_tokens.txt\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "count_words = Counter(corpus_tokens)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "collections.Counter"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "type(count_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "most_common_words = count_words.most_common(1000)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>word</th>\n",
       "      <th>count</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td></td>\n",
       "      <td>26467421</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>$</td>\n",
       "      <td>4088943</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td></td>\n",
       "      <td>2459316</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>model</td>\n",
       "      <td>1598013</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>result</td>\n",
       "      <td>1064830</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>995</th>\n",
       "      <td>cavity</td>\n",
       "      <td>40578</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>996</th>\n",
       "      <td>community</td>\n",
       "      <td>40478</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>997</th>\n",
       "      <td>trace</td>\n",
       "      <td>40448</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>998</th>\n",
       "      <td>relatively</td>\n",
       "      <td>40385</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>999</th>\n",
       "      <td>electromagnetic</td>\n",
       "      <td>40358</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>1000 rows × 2 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "                word     count\n",
       "0                     26467421\n",
       "1                  $   4088943\n",
       "2                      2459316\n",
       "3              model   1598013\n",
       "4             result   1064830\n",
       "..               ...       ...\n",
       "995           cavity     40578\n",
       "996        community     40478\n",
       "997            trace     40448\n",
       "998       relatively     40385\n",
       "999  electromagnetic     40358\n",
       "\n",
       "[1000 rows x 2 columns]"
      ]
     },
     "execution_count": 33,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "words_count_df = pd.DataFrame(most_common_words, columns=['word', 'count']).sort_values(by=\"count\", ascending=False)\n",
    "words_count_df"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "words_count_df = words_count_df.drop(words_count_df.index[:3])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"count\", y=\"word\", data=words_count_df.head(20), palette=\"mako\").set(title='Palabras mas frequentes en Abstracts')\n",
    "plt.xlabel(\"Conteo\")\n",
    "plt.ylabel(\"Palabra\")\n",
    "plt.savefig(\"/Users/luis.morales/Desktop/arxiv-paper-recommender/reports/Visualizations/FrequenciaPalabras.png\"\n",
    "            ,dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.barplot(x=\"count\", y=\"word\", data=words_count_df.tail(20), palette=\"mako\").set(title='Palabras menos frequentes en Abstracts')\n",
    "plt.xlabel(\"Conteo\")\n",
    "plt.ylabel(\"Palabra\")\n",
    "plt.savefig(\"/Users/luis.morales/Desktop/arxiv-paper-recommender/reports/Visualizations/FrequenciaPalabrasMenosFreq.png\"\n",
    "            ,dpi=300, bbox_inches='tight')\n",
    "plt.show()"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3.11.4 ('arxiv-env': venv)",
   "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": "3.11.4"
  },
  "orig_nbformat": 4,
  "vscode": {
   "interpreter": {
    "hash": "aae17c2ae2f38cc6f211be9b71a2aa280701d8462782cbc1f67caa83a1603363"
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}