{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# Get images\n",
    "\n",
    "This is because I'm really lazy and copying and pasteing into jupyter notebooks is less than fun when the images already exist in the outside world.... 😂\n"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "6a9f2ad25a3f43578564e238992a56ea",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(FloatProgress(value=0.0, max=5.0), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "\n",
    "import requests\n",
    "import json\n",
    "from pathlib import Path\n",
    "from tqdm.auto import tqdm\n",
    "\n",
    "target = Path('img')\n",
    "source = Path('images.json')\n",
    "\n",
    "def get_image(url,name):\n",
    "    r = requests.get(url)\n",
    "    r.raise_for_status()\n",
    "    (target/name).write_bytes(r.content)\n",
    "    return True\n",
    "\n",
    "\n",
    "images = json.loads(source.read_text())\n",
    "for url,name in tqdm(images.items()):\n",
    "    get_image(url,name)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "{'https://i.redd.it/c14oontjoop21.png': 'math_skill.png',\n",
       " 'https://i.imgur.com/XJyemeI.jpg': 'great_success.jpg',\n",
       " 'https://miro.medium.com/max/700/0*b3jEIVWk_m0_J9jH.png': 'arrow_mem.png',\n",
       " 'https://i0.wp.com/nerdarchy.com/wp-content/uploads/2019/03/izzet-league.png': 'artificer.png'}"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "images"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "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": "3.8.3"
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 },
 "nbformat": 4,
 "nbformat_minor": 4
}