350 lines
12 KiB
Python
350 lines
12 KiB
Python
#!/usr/bin/env python
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"""
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Parse iTunes library and produce JSON adapted files to send to Elasticsearch
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Rating note:
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For albums and artists data, 'Rating' is the average rate for *all* songs in the album or of the artist.
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So, if in an album, 10 songs are evaluated and 2 not evaluated, 'Rating' will be the sum of rate divided by 12.
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TODO: Add informations to store number of evaluated songs, and 'Rating' for evaluated song.
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Parses an iTunes library XML file and generates a JSON file
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for use in the D3.js JavaScript library.
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Example Track info:
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{
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'Album': 'Nirvana',
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'Persistent ID': 'A50FE1436726815C',
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'Track Number': 4,
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'Location': 'file://localhost/Users/foo/Music/iTunes/iTunes%20Music/Nirvana/Nirvana/04%20Sliver.mp3',
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'File Folder Count': 4,
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'Album Rating Computed': True,
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'Total Time': 134295,
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'Sample Rate': 44100,
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'Genre': 'Rock/Alternative',
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'Bit Rate': 236,
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'Kind': 'MPEG audio file',
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'Name': 'Sliver',
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'Artist': 'Nirvana',
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'Date Added': datetime.datetime(2006, 10, 11, 4, 31, 38),
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'Album Rating': 60,
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'Rating': 40,
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'Date Modified': datetime.datetime(2009, 7, 18, 4, 57, 41),
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'Library Folder Count': 1,
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'Year': 2002,
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'Track ID': 7459,
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'Size': 3972838,
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'Track Type': 'File',
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'Play Count': 2,
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'Play Date UTC': datetime.datetime(2009, 7, 18, 5, 00, 00)
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}
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"""
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import datetime
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import io
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import json
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import os
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import plistlib
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import sys
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import argparse
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import hashlib
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class SetEncoder(json.JSONEncoder):
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def default(self, obj):
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if isinstance(obj, set):
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return list(obj)
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if isinstance(obj, datetime.datetime):
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return obj.isoformat()
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# encoded_object = int(mktime(obj.timetuple()))
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return json.JSONEncoder.default(self, obj)
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class ITunesParser:
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"""
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Parse an iTunes Library and produce JSON - for ELS
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"""
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SONG_INDEX = 'itunes-songs'
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ALBUM_INDEX = 'itunes-albums'
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ARTIST_INDEX = 'itunes-artists'
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# TODO Put variables in a config files or in a python library
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def __init__(self):
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self._tracks = {}
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self._albums = {}
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self._artists = {}
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def _read_tracks(self, library_file):
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"""
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Read library file and return Tracks key of dict.
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Dict may contains
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- Major Version
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- Minor Version
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- Date
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- Application Version
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- Features
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- Show Content Ratings
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- Music Folder
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- Library Persistent ID
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- Tracks
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- ...
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"""
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plist = plistlib.load(open(library_file, 'rb'))
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return plist['Tracks']
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def parse(self, library_file):
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"""
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Return an output JSON for an ELS Bulk request - Not a correct format
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This method call process_album & process_artist
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TODO Just return a _correct_ JSON and treat in another place/class
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"""
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tracks = self._read_tracks(library_file)
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for _, track in tracks.items():
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# Filter out any non-music
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if track['Track Type'] != 'File':
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continue
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if 'Podcast' in track or 'Has Video' in track:
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continue
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# Each keeped track are stored
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self._tracks[track['Persistent ID']] = track
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# Retrieve for each track artist information
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self._process_artist(track)
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# Retrieve for each track album information
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self._process_album(track)
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ret = {
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'songs': self._tracks,
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'albums': self._albums,
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'artists': self._artists
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}
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return ret
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def _process_artist(self, track):
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"""
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Process artists in the track part of library and return a JSON formated for a bulk ELS request
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"""
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if 'Album Artist' not in track and 'Artist' not in track:
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return
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akey = track['Album Artist'] if 'Album Artist' in track else track['Artist']
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# Add artist
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if akey not in self._artists:
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a_id = self.calc_id(akey)
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# Key is used to increment/precise some information
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# So we use artist name as a key to avoid calculating an ID for each track
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self._artists[akey] = {
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'Persistent ID': a_id,
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'Name': akey,
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'Artist': akey,
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'Track Count': 0,
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'Play Count': 0,
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'Rating': 0,
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'Genre': set(),
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'Album': set()
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}
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# Compute information
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play_count = track['Play Count'] if 'Play Count' in track else 0
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rating = track['Rating'] if 'Rating' in track else 0
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rating = self.calc_average(rating, self._artists[akey]['Rating'], self._artists[akey]['Track Count'])
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self._artists[akey]['Track Count'] += 1
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self._artists[akey]['Rating'] = rating
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self._artists[akey]['Play Count'] += play_count
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if 'Genre' in track:
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# Split up the Genres
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genre_parts = track['Genre'].split('/')
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self._artists[akey]['Genre'] |= set(genre_parts)
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if 'Album' in track:
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self._artists[akey]['Album'].add(track['Album'])
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def _process_album(self, track):
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"""
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Process albums in the track part of library and return a JSON formated for a bulk ELS request
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"""
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if 'Album' not in track:
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return
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akey = track['Album']
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if akey not in self._albums:
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a_id = self.calc_id(akey)
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# Key is used to increment/precise some information
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# So we use album name as a key to avoid calculating an ID for each track
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self._albums[akey] = {
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'Persistent ID': a_id,
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'Name': akey,
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'Album': akey,
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'Track Count': 0,
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'Play Count': 0,
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'Genre': set(),
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'Artist': set(),
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'Avg Bit Rate': track['Bit Rate'],
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'Min Bit Rate': track['Bit Rate'],
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# 'Album Artist': '',
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'Total Time': 0
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}
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# Compute information
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play_count = track['Play Count'] if 'Play Count' in track else 0
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total_time = track['Total Time'] if 'Total Time' in track else 0
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avg_bitrate = self.calc_average(track['Bit Rate'], self._albums[akey]['Avg Bit Rate'], self._albums[akey]['Track Count'])
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self._albums[akey]['Avg Bit Rate'] = avg_bitrate
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self._albums[akey]['Track Count'] += 1
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self._albums[akey]['Play Count'] += play_count
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self._albums[akey]['Total Time'] += total_time
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if self._albums[akey]['Min Bit Rate'] > track['Bit Rate']:
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self._albums[akey]['Min Bit Rate'] = track['Bit Rate']
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if 'Genre' in track:
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# Split up the Genres
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genre_parts = track['Genre'].split('/')
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self._albums[akey]['Genre'] |= set(genre_parts)
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if 'Artist' in track:
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self._albums[akey]['Artist'].add(track['Artist'])
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if 'Album Rating' in track:
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self._albums[akey]['Album Rating'] = track['Album Rating']
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if 'Album Rating Computed' in track:
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self._albums[akey]['Album Rating Computed'] = track['Album Rating Computed']
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if 'Album Artist' in track:
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self._albums[akey]['Album Artist'] = track['Album Artist']
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@classmethod
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def calc_average(cls, added_value, current_value, nb_values):
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"""
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Calculate average value from a current value, a value to add and the number of values
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"""
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return (current_value * nb_values + added_value) / (nb_values + 1)
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@classmethod
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def calc_id(cls, key):
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"""
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Calculate a MD5 sum from a key as ID
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"""
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md5 = hashlib.md5()
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md5.update(key.encode('UTF-8'))
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return md5.hexdigest()
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class WriteElsJson:
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@staticmethod
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def write_artists(artists, output_file):
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"""
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Write artists data to another JSON file
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"""
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file_artist = io.open(output_file, 'wb')
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for _, artist in artists.items():
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persistent_id = artist['Persistent ID']
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artist['Rating'] = round(artist['Rating'])
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json_track_index = {
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"index": {"_index": ITunesParser.ARTIST_INDEX, "_id": persistent_id}
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}
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file_artist.write(bytes(json.dumps(json_track_index, indent=None, cls=SetEncoder), 'UTF-8'))
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file_artist.write(bytes("\n", 'UTF-8'))
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file_artist.write(bytes(json.dumps(artist, indent=None, cls=SetEncoder), 'UTF-8'))
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file_artist.write(bytes("\n", 'UTF-8'))
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file_artist.close()
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@staticmethod
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def write_albums(albums, output_file):
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"""
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Write albums data to another JSON file
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"""
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file_albums = io.open(output_file, 'wb')
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for _, album in albums.items():
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persistent_id = album['Persistent ID']
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album['Avg Bit Rate'] = round(album['Avg Bit Rate'])
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json_track_index = {
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"index": {"_index": ITunesParser.ALBUM_INDEX, "_id": persistent_id}
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}
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file_albums.write(bytes(json.dumps(json_track_index, indent=None, cls=SetEncoder), 'UTF-8'))
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file_albums.write(bytes("\n", 'UTF-8'))
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file_albums.write(bytes(json.dumps(album, indent=None, cls=SetEncoder), 'UTF-8'))
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file_albums.write(bytes("\n", 'UTF-8'))
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file_albums.close()
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@staticmethod
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def write_songs(songs, output_file):
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"""
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Write songs to a JSON
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"""
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file = io.open(output_file, 'wb')
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for persistent_id, song in songs.items():
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json_track_index = {
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"index": {"_index": ITunesParser.SONG_INDEX, "_id": persistent_id}
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}
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file.write(bytes(json.dumps(json_track_index, indent=None, cls=SetEncoder), 'UTF-8'))
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file.write(bytes("\n", 'UTF-8'))
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file.write(bytes(json.dumps(song, indent=None, cls=SetEncoder), 'UTF-8'))
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file.write(bytes("\n", 'UTF-8'))
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file.close()
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#### main block ####
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# Default input & output files
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DEFAULT_LIBRARY_FILE_NAME = 'iTunesLibrary.xml'
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DEFAULT_OUTPUT_FILE_NAME = '/es-music-data.json'
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DEFAULT_LIBRARY_FILE = os.path.expanduser(DEFAULT_LIBRARY_FILE_NAME)
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DEFAULT_OUTPUT_FILE = os.path.dirname(os.path.realpath(__file__)) + DEFAULT_OUTPUT_FILE_NAME
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# Get options
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parser = argparse.ArgumentParser(description="""
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Parse an iTunes XML library file to produce JSON file for ELS bulk operation.
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""")
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parser.add_argument('-f', '--file', default=DEFAULT_LIBRARY_FILE,
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help='iTunes Library XML file path (default: ./' + DEFAULT_LIBRARY_FILE_NAME + ')')
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parser.add_argument('-o', '--output', default=DEFAULT_OUTPUT_FILE,
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help='Output to file (default: .' + DEFAULT_OUTPUT_FILE_NAME + ')')
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parser.add_argument('-c', '--console', action='store_true',
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help='Output to console instead of file')
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# parser.add_argument('-v', '--verbose', action='store_true',
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# help='Verbose output')
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if __name__ == '__main__':
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args = parser.parse_args()
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print("Parsing file '{}'...".format(args.file))
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itunes_parser = ITunesParser().parse(args.file)
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print("Writing JSON files...")
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WriteElsJson.write_songs(itunes_parser['songs'], "es-songs.json")
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WriteElsJson.write_artists(itunes_parser['artists'], "es-artists.json")
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WriteElsJson.write_albums(itunes_parser['albums'], "es-albums.json")
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print('Done!')
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# if args.console:
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# print(output)
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# else:
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# with io.open(args.output, 'wb') as outfile:
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# if sys.version_info.major == 2:
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# outfile.write(bytes(output))
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# elif sys.version_info.major == 3:
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# outfile.write(bytes(output, 'UTF-8'))
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# print('JSON data written to: ' + args.output)
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