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Diffstat (limited to 'megapixels/notebooks/datasets/identity/msceleb_identity.ipynb')
| -rw-r--r-- | megapixels/notebooks/datasets/identity/msceleb_identity.ipynb | 378 |
1 files changed, 378 insertions, 0 deletions
diff --git a/megapixels/notebooks/datasets/identity/msceleb_identity.ipynb b/megapixels/notebooks/datasets/identity/msceleb_identity.ipynb new file mode 100644 index 00000000..d330badb --- /dev/null +++ b/megapixels/notebooks/datasets/identity/msceleb_identity.ipynb @@ -0,0 +1,378 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Knowledge Graph MS Celeb" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [], + "source": [ + "import os\n", + "import os.path as osp\n", + "from os.path import join\n", + "from glob import glob\n", + "import random\n", + "import math\n", + "import time\n", + "from datetime import datetime\n", + "\n", + "import requests\n", + "\n", + "import json\n", + "import urllib\n", + "from multiprocessing.pool import ThreadPool\n", + "import threading\n", + "from urllib.request import urlopen\n", + "import urllib.request\n", + "\n", + "import pandas as pd\n", + "from scipy.io import loadmat\n", + "import numpy as np\n", + "%matplotlib inline\n", + "import matplotlib.pyplot as plt\n", + "\n", + "from tqdm import tqdm_notebook as tqdm\n", + "%reload_ext autoreload\n", + "%autoreload 2\n", + "import sys\n", + "sys.path.append('/work/megapixels_dev/megapixels/')\n", + "from app.utils import file_utils, im_utils" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Load Metadata" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "dir_msceleb = '/data_store_hdd/datasets/people/msceleb/media/original/'\n", + "kg_ids_msceleb = [x.replace('m.', '/m/') for x in os.listdir(dir_msceleb)]" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [], + "source": [ + "api_key = open('/work/megapixels_dev/3rdparty/knowledge-graph-api/.api_key').read()\n", + "url_kg_api = 'https://kgsearch.googleapis.com/v1/entities:search'" + ] + }, + { + "cell_type": "code", + "execution_count": 50, + "metadata": {}, + "outputs": [], + "source": [ + "def get_kg_meta(obj, url):\n", + " \n", + "def get_kg_from_name(obj):\n", + " \n", + "def get_kg_from_kg_id(obj):\n", + " # TODO detect 503 service unavailable\n", + " if obj['accessed']:\n", + " return obj\n", + " global api_key, url_kg_api\n", + " kg_id = obj['kg_id']\n", + " params = {\n", + " 'query': q,\n", + " 'limit': 5,\n", + " 'indent': True,\n", + " 'key': api_key,\n", + " }\n", + " \n", + " params = {\n", + " 'ids': kg_id,\n", + " 'limit': 1,\n", + " 'indent': True,\n", + " 'key': api_key,\n", + " }\n", + " url = f'{url_kg_api}?{urllib.parse.urlencode(params)}'\n", + " result = {'kg_id': kg_id, 'score': 0.0, 'description': '', 'url':'', 'accessed': False} # default\n", + " try:\n", + " json_response = urllib.request.urlopen(url).read()\n", + " except Exception as e:\n", + " result['error'] = str(e)\n", + " else:\n", + " try:\n", + " response = json.loads(json_response)\n", + " items = response.get('itemListElement', [])\n", + " result['accessed'] = True\n", + " if items:\n", + " item = items[0]\n", + " item_result = item.get('result', [])\n", + " result['description'] = item_result.get('description', '')\n", + " det_desc = item_result.get('detailedDescription', '')\n", + " if det_desc:\n", + " result['description_extended'] = det_desc.get('articleBody','')\n", + " result['description_license'] = det_desc.get('license','')\n", + " result['description_url'] = det_desc.get('url','')\n", + " else:\n", + " result['description_extended'] = ''\n", + " result['description_license'] = ''\n", + " result['description_url'] = ''\n", + " result_img = item_result.get('image', '')\n", + " if result_img:\n", + " result['image_url'] = result_img.get('contentUrl', '')\n", + " result['name'] = item_result.get('name', '')\n", + " result['score'] = item.get('resultScore', 0.0)\n", + " result['url'] = item_result.get('url', '')\n", + " except Exception as e:\n", + " result['error'] = str(e)\n", + " return result" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [], + "source": [ + "unmapped_persons = [{'kg_id': x} for x in kg_ids_msceleb]\n", + "opt_threads = 10\n", + "pbar = tqdm(total=len(unmapped_persons))" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "# define thread mapping function\n", + "def pool_map_persons(obj):\n", + " global pbar\n", + " pbar.update(1)\n", + " kg_obj = get_kg_from_kg_obj(obj)\n", + " return kg_obj" + ] + }, + { + "cell_type": "code", + "execution_count": 47, + "metadata": {}, + "outputs": [], + "source": [ + "#mapped_persons_bkup = mapped_persons.copy()" + ] + }, + { + "cell_type": "code", + "execution_count": 85, + "metadata": {}, + "outputs": [ + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "886ce68bd7484d2fa4ab2da0beec5359", + "version_major": 2, + "version_minor": 0 + }, + "text/plain": [ + "HBox(children=(IntProgress(value=0, max=93418), HTML(value='')))" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# convert to thread pool\n", + "#mapped_persons = []\n", + "pool = ThreadPool(opt_threads)\n", + "\n", + "# start threading\n", + "with tqdm(total=len(unmapped_persons)) as pbar:\n", + " mapped_persons = pool.map(pool_map_persons, mapped_persons)\n", + "\n", + "# close tqdm\n", + "pbar.close()" + ] + }, + { + "cell_type": "code", + "execution_count": 71, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "93418" + ] + }, + "execution_count": 71, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "len(mapped_persons)" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "[{'kg_id': '/m/0dlnwb0', 'score': 14.806737, 'description': 'American internet celebrity', 'url': '', 'accessed': True, 'description_extended': 'Keenan Cahill is an American Internet celebrity from Chicago, Illinois who lip-syncs to popular songs on YouTube.\\nCahill launched his first famous lipsynced YouTube video on August 28, 2010 on the Katy Perry song Teenage Dream. ', 'description_license': 'CC BY-SA 3.0', 'description_url': 'https://en.wikipedia.org/wiki/Keenan_Cahill', 'name': 'Keenan Cahill'}, {'kg_id': '/m/047rtd1', 'score': 12.298853, 'description': 'Canadian film actor', 'url': '', 'accessed': True, 'description_extended': '', 'description_license': '', 'description_url': '', 'name': 'Nicholas Elia'}, {'kg_id': '/m/04j9rz9', 'score': 11.539564, 'description': 'Investor', 'url': '', 'accessed': True, 'description_extended': 'Nick Leslau is an English commercial property investor, with an estimated fortune in the Sunday Times Rich List of £350 million. Leslau is Chairman and Chief Executive of Prestbury Investment Holdings Limited and Chairman of Prestbury Investments LLP. ', 'description_license': 'CC BY-SA 3.0', 'description_url': 'https://en.wikipedia.org/wiki/Nick_Leslau', 'name': 'Nick Leslau'}]" + ] + }, + "execution_count": 77, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "mapped_persons[93415:]" + ] + }, + { + "cell_type": "code", + "execution_count": 86, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "5\n" + ] + } + ], + "source": [ + "# reduce CC attribution string\n", + "cc_long = 'https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License'\n", + "cc_short = 'CC BY-SA 3.0'\n", + "nchanged = 0\n", + "for mapped_person in mapped_persons:\n", + " license = mapped_person.get('description_license',None)\n", + " if license == cc_long:\n", + " nchanged += 1\n", + " mapped_person['description_license'] = cc_short\n", + "print(nchanged)" + ] + }, + { + "cell_type": "code", + "execution_count": 87, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0\n" + ] + } + ], + "source": [ + "# find number not accessed\n", + "n_empty = 0\n", + "for mapped_person in mapped_persons:\n", + " if not mapped_person.get('accessed', False):\n", + " n_empty += 1\n", + " print(mapped_person['kg_id'])\n", + "print(n_empty)" + ] + }, + { + "cell_type": "code", + "execution_count": 88, + "metadata": {}, + "outputs": [], + "source": [ + "# create dataframe\n", + "df_mapped_persons = pd.DataFrame.from_dict(mapped_persons)\n", + "df_mapped_persons.index.name = 'index'\n", + "fp_mapped_persons = '/data_store_hdd/datasets/people/msceleb/metadata/identity_kg.csv'\n", + "df_mapped_persons.to_csv(fp_mapped_persons, encoding = 'utf-16')" + ] + }, + { + "cell_type": "code", + "execution_count": 40, + "metadata": {}, + "outputs": [], + "source": [ + "df_mapped_persons.head()" + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": {}, + "outputs": [], + "source": [ + "# create small version\n", + "limit = 1000\n", + "fp_mapped_persons_sm = f'/data_store_hdd/datasets/people/msceleb/metadata/identity_kg_0_{limit}.csv'\n", + "df_mapped_persons_sm = pd.DataFrame.from_dict(mapped_persons[0:limit])\n", + "df_mapped_persons_sm.index.name = 'index'\n", + "df_mapped_persons_sm.to_csv(fp_mapped_persons_sm, encoding = 'utf-16')" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "{'kg_id': '/m/03c2nqz', 'score': 14.279573, 'description': 'Brazilian soccer player', 'url': '', 'accessed': True, 'description_extended': 'Cleiton Ribeiro Xavier is a Brazilian professional footballer who plays as an attacking midfielder for Vitória. He is known by his powerful and accurate free kicks, dribbling skills and passes.', 'description_license': 'https://en.wikipedia.org/wiki/Wikipedia:Text_of_Creative_Commons_Attribution-ShareAlike_3.0_Unported_License', 'description_url': 'https://en.wikipedia.org/wiki/Cleiton_Xavier', 'image_url': 'http://t3.gstatic.com/images?q=tbn:ANd9GcSPzkNDBjtWX3f_oov7vOTlTxBNFrfIqEaIwJR26AsLfsBbP8H9', 'name': 'Cleiton Xavier'}\n" + ] + } + ], + "source": [ + "#a = get_kg_from_kg_obj({'kg_id': '/m/03c2nqz', 'accessed': False})\n", + "#print(a)" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [] + } + ], + "metadata": { + "kernelspec": { + "display_name": "Python [conda env:megapixels]", + "language": "python", + "name": "conda-env-megapixels-py" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.6.6" + } + }, + "nbformat": 4, + "nbformat_minor": 2 +} |