110 lines
3.0 KiB
Plaintext
110 lines
3.0 KiB
Plaintext
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{
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"cells": [
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{
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"cell_type": "code",
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"execution_count": 1,
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"metadata": {},
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"outputs": [],
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"source": [
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"import json\n",
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"import os\n",
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"from datetime import datetime\n",
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"import random\n",
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"from pprint import pprint"
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]
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},
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{
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"cell_type": "code",
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"execution_count": 15,
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"metadata": {},
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"outputs": [
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{
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"name": "stdout",
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"output_type": "stream",
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"text": [
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"Total: 445582\n",
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"Total Populated: 442034 (99.20%)\n",
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"Total New: 130411 (29.27%)\n",
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"{'conn_country': 'GB',\n",
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" 'episode_name': None,\n",
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" 'episode_show_name': None,\n",
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" 'incognito_mode': False,\n",
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" 'ip_addr_decrypted': '82.132.244.90',\n",
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" 'master_metadata_album_album_name': 'Tales Told By Dead Friends',\n",
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" 'master_metadata_album_artist_name': 'Mayday Parade',\n",
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" 'master_metadata_track_name': 'Three Cheers For Five Years',\n",
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" 'ms_played': 33274,\n",
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" 'offline': False,\n",
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" 'offline_timestamp': 0,\n",
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" 'platform': 'iOS 9.2.1 (iPhone7,1)',\n",
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" 'reason_end': 'fwdbtn',\n",
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" 'reason_start': 'fwdbtn',\n",
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" 'shuffle': True,\n",
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" 'skipped': True,\n",
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" 'spotify_episode_uri': None,\n",
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" 'spotify_track_uri': 'spotify:track:1aw8gphDUzqalHEi9Z8M38',\n",
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" 'ts': '2016-02-11T08:13:55Z',\n",
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" 'user_agent_decrypted': 'unknown',\n",
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" 'username': 'sarsoo'}\n"
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]
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}
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],
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"source": [
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"data = []\n",
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"data_with_names = []\n",
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"new_data = []\n",
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"\n",
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"folder = '/Users/andy/lab/backups/spotify-2022-03-07'\n",
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"\n",
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"for i in os.listdir(folder):\n",
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" if i.startswith('endsong_'):\n",
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" with open(f'{folder}/{i}') as f:\n",
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" data += json.loads(f.read())\n",
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"\n",
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"data.sort(key = lambda a: a['ts'])\n",
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"data_with_names = [i for i in data if i['master_metadata_track_name'] is not None]\n",
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"new_data = [i for i in data_with_names if datetime.fromisoformat(i['ts'].split('T')[0]) < datetime(2017, 11, 3)]\n",
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"\n",
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"print(f'Total: {len(data)}')\n",
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"print(f'Total Populated: {len(data_with_names)} ({len(data_with_names)/len(data)*100:.2f}%)')\n",
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"print(f'Total New: {len(new_data)} ({len(new_data)/len(data)*100:.2f}%)')\n",
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"\n",
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"pprint(random.choice(new_data))\n",
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"# print(min(i[0] for i in data))"
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]
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},
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{
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"cell_type": "code",
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"execution_count": null,
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"metadata": {},
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"outputs": [],
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"source": []
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}
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],
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"metadata": {
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"interpreter": {
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"hash": "a0a5145e6c304e2a9afaf5b930a2955b950bd4b81fe94f7c42930f43f42762eb"
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},
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"kernelspec": {
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"display_name": "Python 3.10.7 64-bit",
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"language": "python",
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"name": "python3"
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},
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"language_info": {
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"codemirror_mode": {
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"name": "ipython",
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"version": 3
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},
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"file_extension": ".py",
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"mimetype": "text/x-python",
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"name": "python",
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"nbconvert_exporter": "python",
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"pygments_lexer": "ipython3",
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"version": "3.10.4"
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},
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"orig_nbformat": 4
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},
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"nbformat": 4,
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"nbformat_minor": 2
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}
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