{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Download all the ETSI doucments from the website and extract the information from the documents."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "csv_path = 'ETSICatalog.csv'\n",
    "# load the CSV file\n",
    "df = pd.read_csv(csv_path, delimiter=';', skiprows=1, on_bad_lines='skip')\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Index(['id', 'ETSI deliverable', 'title', 'Status', 'Details link', 'PDF link',\n",
      "       'Scope', 'Technical body', 'Keywords'],\n",
      "      dtype='object')\n",
      " Number of rows: 26442\n"
     ]
    }
   ],
   "source": [
    "print(df.columns)\n",
    "# get the number of rows and columns\n",
    "print(' Number of rows:', df.shape[0])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "64372    Zero-touch network and Service Management\n",
      "63040    Zero-touch network and Service Management\n",
      "62010    Zero-touch network and Service Management\n",
      "61992    Zero-touch network and Service Management\n",
      "58436    Zero-touch network and Service Management\n",
      "Name: Scope, dtype: object\n"
     ]
    }
   ],
   "source": [
    "# ge the 'PDF link' column from the dataframe and print first 5 rows\n",
    "pdf_links = df['Scope']\n",
    "print(pdf_links.head())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  8%|▊         | 2030/26442 [09:21<28:35:26,  4.22s/it]"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import requests\n",
    "from tqdm import tqdm\n",
    "import pandas as pd\n",
    "\n",
    "# Function to download files and save metadata, with pause and resume capability\n",
    "def download_etsi_documents(csv_path, download_dir, state_file='download_state.txt'):\n",
    "    # Load the CSV file\n",
    "    df = pd.read_csv(csv_path, delimiter=';', skiprows=1, on_bad_lines='skip', quotechar='\"')\n",
    "    \n",
    "    # Manually realign the columns\n",
    "    corrected_rows = []\n",
    "    for index, row in df.iterrows():\n",
    "        corrected_row = {\n",
    "            'id': row['id'],\n",
    "            'ETSI deliverable': row['ETSI deliverable'],\n",
    "            'title': row['title'],\n",
    "            'Status': row['Status'],\n",
    "            'Details link': row['Details link'],\n",
    "            'PDF link': row['PDF link'],\n",
    "            'Scope': row['Scope'],\n",
    "            'Technical body': row['Technical body'],\n",
    "            'Keywords': row['Keywords']\n",
    "        }\n",
    "        \n",
    "        # Correcting the misalignment\n",
    "        corrected_row['PDF link'] = corrected_row['Details link']\n",
    "        corrected_row['Details link'] = corrected_row['Status']\n",
    "        corrected_row['Status'] = corrected_row['title']\n",
    "        corrected_row['title'] = corrected_row['ETSI deliverable']\n",
    "        corrected_row['ETSI deliverable'] = corrected_row['id']\n",
    "        corrected_row['id'] = index  # Reassigning ID to the index for unique identification\n",
    "\n",
    "        corrected_rows.append(corrected_row)\n",
    "\n",
    "    # Create a new DataFrame with the corrected rows\n",
    "    corrected_df = pd.DataFrame(corrected_rows)\n",
    "    \n",
    "    # Create download directory if it doesn't exist\n",
    "    os.makedirs(download_dir, exist_ok=True)\n",
    "    \n",
    "    # Load the state of downloaded documents\n",
    "    if os.path.exists(state_file):\n",
    "        with open(state_file, 'r') as file:\n",
    "            completed_docs = set(file.read().splitlines())\n",
    "    else:\n",
    "        completed_docs = set()\n",
    "    \n",
    "    for index, row in tqdm(corrected_df.iterrows(), total=corrected_df.shape[0]):\n",
    "        doc_id = str(row['id'])\n",
    "        \n",
    "        if doc_id in completed_docs:\n",
    "            continue\n",
    "        \n",
    "        pdf_link = row['PDF link']\n",
    "        title = row['ETSI deliverable']\n",
    "        status = row['Status']\n",
    "        details_link = row['Details link']\n",
    "        scope = row['Scope']\n",
    "        technical_body = row['Technical body']\n",
    "        keywords = row['Keywords']\n",
    "        \n",
    "        try:\n",
    "            response = requests.get(pdf_link, stream=True)\n",
    "            if response.status_code == 200:\n",
    "                file_path = os.path.join(download_dir, f\"{doc_id}.pdf\")\n",
    "                with open(file_path, 'wb') as pdf_file:\n",
    "                    for chunk in response.iter_content(chunk_size=1024):\n",
    "                        if chunk:\n",
    "                            pdf_file.write(chunk)\n",
    "                \n",
    "                # Write metadata to a text file\n",
    "                metadata_path = os.path.join(download_dir, f\"{doc_id}_metadata.txt\")\n",
    "                with open(metadata_path, 'w') as metadata_file:\n",
    "                    metadata_file.write(f\"ID: {doc_id}\\n\")\n",
    "                    metadata_file.write(f\"Title: {title}\\n\")\n",
    "                    metadata_file.write(f\"Status: {status}\\n\")\n",
    "                    metadata_file.write(f\"Details Link: {details_link}\\n\")\n",
    "                    metadata_file.write(f\"Scope: {scope}\\n\")\n",
    "                    metadata_file.write(f\"Technical Body: {technical_body}\\n\")\n",
    "                    metadata_file.write(f\"Keywords: {keywords}\\n\")\n",
    "                \n",
    "                # Update the state file\n",
    "                with open(state_file, 'a') as file:\n",
    "                    file.write(doc_id + '\\n')\n",
    "                    \n",
    "            else:\n",
    "                print(f\"Failed to download {pdf_link}\")\n",
    "        except Exception as e:\n",
    "            print(f\"Error downloading {pdf_link}: {e}\")\n",
    "\n",
    "# Example usage\n",
    "csv_path = 'ETSICatalog.csv'\n",
    "download_dir = './data/'\n",
    "download_etsi_documents(csv_path, download_dir) # Uncomment to execute\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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