creating-new-playlist.ipynb

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   "source": [
    "# Data science approach to organizing my playlist\n",
    "[Complete Post](https://arjon.es/2020/data-science-approach-to-organizing-my-playlist/)\n",
    "\n",
    "## Creating a new Playlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "# # Import the libraries\n",
    "import os\n",
    "import pandas as pd\n",
    "import spotipy\n",
    "import spotipy.util as util\n",
    "\n",
    "from spotipy.oauth2 import SpotifyClientCredentials"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Authorization Flow"
   ]
  },
  {
   "cell_type": "code",
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   "outputs": [],
   "source": [
    "# Declare the credentials\n",
    "cid = os.environ['SPOTIFY_CLIENT_ID']\n",
    "secret = os.environ['SPOTIFY_CLIENT_SECRET']\n",
    "redirect_uri='http://localhost:7777/callback'\n",
    "username = 'gustavoarjones'"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Create the New Playlist\n",
    "Next, we are going to create a new playlist and add to it all the tracks we ended up selecting:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "# Authorization flow\n",
    "\n",
    "scope = \"playlist-modify-public\"\n",
    "token = util.prompt_for_user_token(username, scope, client_id=cid, client_secret=secret, redirect_uri=redirect_uri)\n",
    "\n",
    "if token:\n",
    "    sp = spotipy.Spotify(auth=token)\n",
    "else:\n",
    "    print(\"Can't get token for\", username)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [],
   "source": [
    "def create_playlist(sp, username, playlist_name, playlist_description):\n",
    "    playlists = sp.user_playlist_create(username, playlist_name, description = playlist_description)\n",
    "    return playlists['id']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "generated_playlist = create_playlist(sp, username, 'My Machine Learning Music', 'Playlist''s Organizing with ML')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'3Hd3dnwodKdctsy2q1Be99'"
      ]
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     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
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   ],
   "source": [
    "generated_playlist"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [],
   "source": [
    "def enrich_playlist(sp, username, playlist_id, playlist_tracks):\n",
    "    index = 0\n",
    "    results = []\n",
    "    \n",
    "    while index < len(playlist_tracks):\n",
    "        results += sp.user_playlist_add_tracks(username, playlist_id, tracks = playlist_tracks[index:index + 100])\n",
    "        index += 100\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv('new-playlist.csv')\n",
    "list_track = df['track_id'].to_list()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "enrich_playlist(sp, username, generated_playlist, list_track)"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Final Result: [My Machine Learning Music](https://open.spotify.com/playlist/3Hd3dnwodKdctsy2q1Be99)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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