{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# VGG Face (V1) Prepare Flickr API"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [],
   "source": [
    "%reload_ext autoreload\n",
    "%autoreload 2\n",
    "\n",
    "import os\n",
    "from os.path import join\n",
    "from glob import glob, iglob\n",
    "from pathlib import Path\n",
    "from tqdm import tqdm_notebook as tqdm\n",
    "\n",
    "import pandas as pd\n",
    "import sys\n",
    "sys.path.append('/work/megapixels_dev/megapixels/')\n",
    "from app.utils import file_utils"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Convert annotation files to list of photo IDs"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp_dir_annos = '/data_store/datasets/people/vgg_face/downloads/vgg_face_dataset/files/'\n",
    "fp_photo_ids = '/data_store/datasets/people/vgg_face/research/photo_ids.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "application/vnd.jupyter.widget-view+json": {
       "model_id": "b92b24eac4c84f2f96e32f6eba8d2dc0",
       "version_major": 2,
       "version_minor": 0
      },
      "text/plain": [
       "HBox(children=(IntProgress(value=0, max=2622), HTML(value='')))"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "\n"
     ]
    }
   ],
   "source": [
    "photo_ids = []\n",
    "all_photos = []\n",
    "fp_annos = glob(join(fp_dir_annos, '*.txt'))\n",
    "for fp_anno in tqdm(fp_annos):\n",
    "  df_annos = pd.read_csv(fp_anno, delimiter=' ', names=['url', 'a', 'b', 'c', 'd', 'e', 'f', 'g'])\n",
    "  records = df_annos.to_dict('records')\n",
    "  for record in records:\n",
    "    url = record['url']\n",
    "    all_photos.append(url)\n",
    "    if 'flickr.com' in url:\n",
    "      photo_id = Path(url).stem.split('_')[0]\n",
    "      photo_ids.append({'photo_id': photo_id})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "2604849\n"
     ]
    }
   ],
   "source": [
    "print(len(all_photos))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "PosixPath('/data_store/datasets/people/vgg_face/research/photo_ids.csv')"
      ]
     },
     "execution_count": 20,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "file_utils.ensure_posixpath(fp_photo_ids)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [],
   "source": [
    "pd.DataFrame.from_dict(photo_ids).to_csv(fp_photo_ids, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [],
   "source": [
    "## Convert Flickr API data to filepaths and counts"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp_in_flickr_api = '/data_store_hdd/datasets/people/vgg_face/research/vgg_flickr_api_photo_ids.csv'\n",
    "fp_out_filepaths = '/data_store_hdd/datasets/people/vgg_face/research/vgg_filepaths.csv'\n",
    "fp_out_counts = '/data_store_hdd/datasets/people/vgg_face/research/vgg_counts.csv'"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [],
   "source": [
    "df = pd.read_csv(fp_in_flickr_api)\n",
    "records = df.to_dict('records')\n",
    "\n",
    "# write filepaths\n",
    "results = []\n",
    "for record in records:\n",
    "  photo_id = record['photo_id']\n",
    "  obj = {\n",
    "    'filepath': f'{photo_id}.jpg',\n",
    "    'nsid': record['nsid'],\n",
    "    'photo_id': photo_id,\n",
    "    'url': record['url']\n",
    "  }\n",
    "  results.append(obj)\n",
    "\n",
    "pd.DataFrame.from_dict(results).to_csv(fp_out_filepaths, index=False)\n",
    "\n",
    "# write counts\n",
    "results = []\n",
    "nsid_groups = df.groupby('nsid')\n",
    "for nsid, group in nsid_groups:\n",
    "  results.append({'nsid': nsid, 'count': len(group)})\n",
    "\n",
    "pd.DataFrame.from_dict(results).to_csv(fp_out_counts, index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [],
   "source": [
    "fp = '/data_store/datasets/msc/embassies/embassies_on_flickr.csv'\n",
    "df = pd.read_csv(fp)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [],
   "source": [
    "df_match = df[df['nsid'] == '50747072@N03']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 39,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "  bureau country          nsid     path_alias       type  \\\n",
      "0    EUR  Russia  50747072@N03  otkroyameriku  Consulate   \n",
      "\n",
      "                                          url                  username  \\\n",
      "0  http://www.flickr.com/photos/otkroyameriku  Генконсульство США в СПб   \n",
      "\n",
      "  verified notes  \n",
      "0      NaN   NaN   1\n"
     ]
    }
   ],
   "source": [
    "print(df_match, len(df_match))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'50747072@N03'"
      ]
     },
     "execution_count": 45,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "match.nsid"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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