{
 "cells": [
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "f133d1af",
   "metadata": {},
   "source": [
    "# Working with Data"
   ]
  },
  {
   "attachments": {},
   "cell_type": "markdown",
   "id": "231cb7ec",
   "metadata": {},
   "source": [
    "In this notebook, we are going to work on the datasets that are going to be used in order to fine tune our NLP models.  \n",
    "The different steps that we are going to follow are:\n",
    "\n",
    "- Scraping ads data from Moroccan youtube products channels"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "8313dd19",
   "metadata": {},
   "source": [
    "# Scraping Data"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "id": "978c782a",
   "metadata": {},
   "outputs": [],
   "source": [
    "from selenium import webdriver\n",
    "from selenium.webdriver.edge.options import Options\n",
    "from selenium.webdriver.common.by import By\n",
    "from selenium.webdriver.support.ui import WebDriverWait\n",
    "from selenium.webdriver.support import expected_conditions as EC\n",
    "from bs4 import BeautifulSoup\n",
    "import time\n",
    "import pandas as pd"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 52,
   "id": "5c643463",
   "metadata": {},
   "outputs": [],
   "source": [
    "def scrape_ads(url, channel_name, max_scroll=3, wait_time=2):\n",
    "    options = Options()\n",
    "    options.headless = True\n",
    "    options.add_argument(\"--disable-gpu\")\n",
    "    options.add_argument(\"--no-sandbox\")\n",
    "    \n",
    "    # Mute the audio\n",
    "    options.add_argument(\"--mute-audio\")\n",
    "\n",
    "    driver = webdriver.Edge(options=options)\n",
    "\n",
    "    driver.get(url)\n",
    "\n",
    "    # Scroll down to load more videos\n",
    "    height = driver.execute_script(\"return document.documentElement.scrollHeight\")\n",
    "    while True:\n",
    "        driver.execute_script(\"window.scrollTo(0, document.documentElement.scrollHeight);\")\n",
    "        time.sleep(3)  # Allow time for the page to load\n",
    "        new_height = driver.execute_script(\"return document.documentElement.scrollHeight\")\n",
    "        if new_height == height:\n",
    "            time.sleep(5)  # Wait a bit longer to check if more content loads\n",
    "            new_height = driver.execute_script(\"return document.documentElement.scrollHeight\")\n",
    "            if new_height == height:  # If the height is still the same, we are at the bottom\n",
    "                break\n",
    "        height = new_height\n",
    "\n",
    "    src = driver.page_source\n",
    "    soup = BeautifulSoup(src, 'lxml')\n",
    "    video_links = soup.find_all('a', {'class': 'yt-simple-endpoint focus-on-expand style-scope ytd-rich-grid-media'})\n",
    "    links = [\"https://www.youtube.com\" + link.get('href') for link in video_links if link.get('href')]\n",
    "\n",
    "    ads = []\n",
    "    titles = []\n",
    "    for link in links:\n",
    "        driver.get(link)\n",
    "        time.sleep(5)\n",
    "\n",
    "        src = driver.page_source\n",
    "        soup = BeautifulSoup(src, 'lxml')\n",
    "\n",
    "        ad_text_span = soup.find('span', class_='yt-core-attributed-string--link-inherit-color')\n",
    "        ad_text = ad_text_span.text.strip() if ad_text_span else \"No ad found\"\n",
    "        ads.append(ad_text)\n",
    "\n",
    "        title_tag = soup.find('h1', {'class': 'title style-scope ytd-video-primary-info-renderer'})\n",
    "        video_title = title_tag.text.strip() if title_tag else 'Title not found'\n",
    "        titles.append(video_title)\n",
    "\n",
    "    driver.quit()\n",
    "    return ads, titles, links"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "id": "939fa26b",
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "C:\\Users\\ADS\\AppData\\Local\\Temp\\ipykernel_14604\\116512856.py:3: DeprecationWarning: headless property is deprecated, instead use add_argument('--headless') or add_argument('--headless=new')\n",
      "  options.headless = True\n"
     ]
    }
   ],
   "source": [
    "channel = '@inwi'\n",
    "url = f\"https://www.youtube.com/{channel}/videos\"\n",
    "ads, titles, links = scrape_ads(url, channel)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "id": "188b9ba2",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(1380, 1380, 1380)"
      ]
     },
     "execution_count": 64,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(ads), len(titles), len(links)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "id": "d6dedc02",
   "metadata": {},
   "outputs": [],
   "source": [
    "# put ads, titles and links in a dataframe\n",
    "df3 = pd.DataFrame({'ad': ads, 'title': titles, 'link': links})\n",
    "\n",
    "# add channel column\n",
    "df3['channel'] = channel"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "id": "c7a6bb24",
   "metadata": {},
   "outputs": [
    {
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       "      <td>Soutien scolaire - Français - Novembre 2012</td>\n",
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      "text/plain": [
       "                                                     ad   \n",
       "1375  initiative e-Madrassa proposée par inwi (Souti...  \\\n",
       "1376  initiative e-Madrassa proposée par inwi (Souti...   \n",
       "1377   Le présent de l'indicatif des verbes pronominaux   \n",
       "1378       Soutien scolaire - Français - Novembre 2012   \n",
       "1379  Les contes marocains par la voix de Rachi El O...   \n",
       "\n",
       "                                                  title   \n",
       "1375  النشاط العلمي - حت التربة - الجزء الأول Janvie...  \\\n",
       "1376  اللغة العربية -أنشطة تطبيقية - الجزء الثاني - ...   \n",
       "1377   Le présent de l'indicatif des verbes pronominaux   \n",
       "1378       Soutien scolaire - Français - Novembre 2012   \n",
       "1379  Emadrassa - L'espace de lecture présenté par R...   \n",
       "\n",
       "                                             link channel  \n",
       "1375  https://www.youtube.com/watch?v=9z2eSPv7dLo   @inwi  \n",
       "1376  https://www.youtube.com/watch?v=IgsAKIPPjig   @inwi  \n",
       "1377  https://www.youtube.com/watch?v=NvYs05Ix3OY   @inwi  \n",
       "1378  https://www.youtube.com/watch?v=ThXZp-jRrUY   @inwi  \n",
       "1379  https://www.youtube.com/watch?v=OPaECpKBl6I   @inwi  "
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df3.tail()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "id": "e9f0c14f",
   "metadata": {},
   "outputs": [],
   "source": [
    "# concat df and df1 , df1, df3\n",
    "df_ads = pd.concat([df, df1, df2, df3], ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "id": "94398c8a",
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<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",
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       "\n",
       "    .dataframe thead th {\n",
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       "  <thead>\n",
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       "      <th>title</th>\n",
       "      <th>link</th>\n",
       "      <th>channel</th>\n",
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       "      <th>0</th>\n",
       "      <td>بشراكة مع بنك التغدية، مؤسسة أورنج تلتزم بالمس...</td>\n",
       "      <td>Orange Maroc : خطوة خير</td>\n",
       "      <td>https://www.youtube.com/watch?v=3RoNBU-snrc</td>\n",
       "      <td>@orangemaroc</td>\n",
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       "      <th>1</th>\n",
       "      <td>خدمة Transfert internet كاينة مع أورنج 🧡\\n\\nعن...</td>\n",
       "      <td>Orange Maroc: Transfert de solde</td>\n",
       "      <td>https://www.youtube.com/watch?v=oQKRx9i2NdY</td>\n",
       "      <td>@orangemaroc</td>\n",
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       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>أورنج ديما كاينة معاك !🧡\\n\\nمع خدمة solde dépa...</td>\n",
       "      <td>Orange Maroc: Solde dépannage</td>\n",
       "      <td>https://www.youtube.com/watch?v=ElW8plKHRrI</td>\n",
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       "      <td>لفراجة كاينة مع La Fibre d'Orange  !\\nنتا غير ...</td>\n",
       "      <td>Orange Maroc : La Fibre d'Orange  لفراجة كاينة مع</td>\n",
       "      <td>https://www.youtube.com/watch?v=sDt4tK29Vy8</td>\n",
       "      <td>@orangemaroc</td>\n",
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       "      <td>سخاوة النجمة 3 المضوبلة كاينة ! 😍\\nاستافدو من ...</td>\n",
       "      <td>Orange Maroc : النجمة 3 المضوبلة كاينة</td>\n",
       "      <td>https://www.youtube.com/watch?v=U2VOn8mhN8U</td>\n",
       "      <td>@orangemaroc</td>\n",
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       "                                                  ad   \n",
       "0  بشراكة مع بنك التغدية، مؤسسة أورنج تلتزم بالمس...  \\\n",
       "1  خدمة Transfert internet كاينة مع أورنج 🧡\\n\\nعن...   \n",
       "2  أورنج ديما كاينة معاك !🧡\\n\\nمع خدمة solde dépa...   \n",
       "3  لفراجة كاينة مع La Fibre d'Orange  !\\nنتا غير ...   \n",
       "4  سخاوة النجمة 3 المضوبلة كاينة ! 😍\\nاستافدو من ...   \n",
       "\n",
       "                                               title   \n",
       "0                            Orange Maroc : خطوة خير  \\\n",
       "1                   Orange Maroc: Transfert de solde   \n",
       "2                      Orange Maroc: Solde dépannage   \n",
       "3  Orange Maroc : La Fibre d'Orange  لفراجة كاينة مع   \n",
       "4             Orange Maroc : النجمة 3 المضوبلة كاينة   \n",
       "\n",
       "                                          link       channel  \n",
       "0  https://www.youtube.com/watch?v=3RoNBU-snrc  @orangemaroc  \n",
       "1  https://www.youtube.com/watch?v=oQKRx9i2NdY  @orangemaroc  \n",
       "2  https://www.youtube.com/watch?v=ElW8plKHRrI  @orangemaroc  \n",
       "3  https://www.youtube.com/watch?v=sDt4tK29Vy8  @orangemaroc  \n",
       "4  https://www.youtube.com/watch?v=U2VOn8mhN8U  @orangemaroc  "
      ]
     },
     "execution_count": 73,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_ads.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "id": "bb4effba",
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "<class 'pandas.core.frame.DataFrame'>\n",
      "RangeIndex: 3992 entries, 0 to 3991\n",
      "Data columns (total 4 columns):\n",
      " #   Column   Non-Null Count  Dtype \n",
      "---  ------   --------------  ----- \n",
      " 0   ad       3992 non-null   object\n",
      " 1   title    3992 non-null   object\n",
      " 2   link     3992 non-null   object\n",
      " 3   channel  3992 non-null   object\n",
      "dtypes: object(4)\n",
      "memory usage: 124.9+ KB\n"
     ]
    }
   ],
   "source": [
    "df_ads.info()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "id": "76633f3d",
   "metadata": {},
   "outputs": [],
   "source": [
    "# push to huggingface dataset\n",
    "from datasets import Dataset\n",
    "\n",
    "dataset = Dataset.from_pandas(df_ads)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 49,
   "id": "7e41b632",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "40e4f65f82e44cfb8a28f6da043299bd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "VBox(children=(HTML(value='<center> <img\\nsrc=https://huggingface.co/front/assets/huggingface_logo-noborder.sv…"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from huggingface_hub import notebook_login\n",
    "notebook_login()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "id": "6b3bd971",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "c35e547ccf024c4580e2433504954f89",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Pushing dataset shards to the dataset hub:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "48d39e651d034177bcd28097a735febd",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Creating parquet from Arrow format:   0%|          | 0/4 [00:00<?, ?ba/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b8dde35a9d784fcf81aeeb610837e73d",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Deleting unused files from dataset repository:   0%|          | 0/1 [00:00<?, ?it/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "335d994ba0bf4e069f562eb0e68e1fca",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "Downloading metadata:   0%|          | 0.00/538 [00:00<?, ?B/s]"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Push the dataset to your Hugging Face account\n",
    "dataset.push_to_hub('MLINSEA/Moroccan_ads')"
   ]
  }
 ],
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