{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Code to create Mini-Reddit"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from pathlib import Path\n",
    "from garage.data import image_listing\n",
    "from PIL import Image\n",
    "from random import shuffle\n",
    "import shutil\n",
    "from tqdm import tqdm\n",
    "import re\n",
    "\n",
    "import numpy as np\n",
    "import math"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "179443\n"
     ]
    }
   ],
   "source": [
    "reddit_dir = Path(\"~/me/data/reddit\").expanduser()\n",
    "assert reddit_dir.exists()\n",
    "subreddit_dir = [d for d in reddit_dir.iterdir() if d.is_dir()]\n",
    "image_files = image_listing.find_images(reddit_dir)\n",
    "print(len(image_files))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "output_dir =  Path(\"~/me/data/reddit-tiny\").expanduser()\n",
    "pcnt = 0.05\n",
    "num_image_files = len(image_files)\n",
    "num_out_files = int(math.ceil(pcnt*num_image_files))\n",
    "shuffle(image_files)\n",
    "num_out_files\n",
    "output_dir.mkdir()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "8973"
      ]
     },
     "execution_count": 4,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "num_out_files"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/8973 [00:00<?, ?it/s]"
     ]
    },
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "writing: /Users/reeteshmukul/me/data/reddit-tiny/apocalypse/scheduleddeliv_v9jc7m.jpeg: 100%|██████████| 8973/8973 [41:31<00:00,  3.60it/s]           \n"
     ]
    }
   ],
   "source": [
    "idx = 0\n",
    "with tqdm(total=num_out_files) as pbar:\n",
    "    \n",
    "    while idx < num_image_files:\n",
    "        f = Path(image_files[idx])\n",
    "        idx = idx + 1\n",
    "\n",
    "        try:\n",
    "            im = Image.open(f)\n",
    "            size = im.size\n",
    "            pixels = max(1, size[0]) * max(1, size[1])\n",
    "\n",
    "            if pixels > Image.MAX_IMAGE_PIXELS: continue\n",
    "            nim = np.array(im)\n",
    "            if len(nim.shape)!= 3 or nim.shape[-1] != 3 : continue\n",
    "\n",
    "            subreddit = f.relative_to(reddit_dir).parent\n",
    "       \n",
    "            dname = subreddit.name           \n",
    "            dname = dname.lower()\n",
    "            if \"porn\" in dname:\n",
    "                dname = dname.replace(\"porn\", \"\")\n",
    "\n",
    "            subreddit_dir = output_dir / subreddit.parent / dname\n",
    "\n",
    "            if not subreddit_dir.exists():\n",
    "                subreddit_dir.mkdir()\n",
    "\n",
    "            \n",
    "            fname = f.stem\n",
    "            fname = re.sub(r'\\W+', '', fname)\n",
    "            fname = fname + f.suffix\n",
    "            fname = fname.lower()\n",
    "            outpath = (output_dir / subreddit_dir/f\"{fname}\").with_suffix(\".jpeg\")\n",
    "\n",
    "            im.save(outpath)\n",
    "            im.close()\n",
    "            pbar.set_description(f\"writing: {outpath}\")\n",
    "            pbar.update(1)\n",
    "            if(pbar.n == pbar.total) : break\n",
    "        except Exception as e:\n",
    "            pass"
   ]
  }
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