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audio-analyzer.py
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audio-analyzer.py
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#!/usr/bin/python3
# -*- coding: utf-8 -*-
import json
import sys
from nltk import RegexpTokenizer, OrderedDict
from nltk.stem.snowball import RussianStemmer
genres = {
1: "Rock",
2: "Pop",
3: "Rap & Hip - Hop",
4: "Easy Listening",
5: "Dance & House",
6: "Instrumental",
7: "Metal",
21: "Alternative",
8: "Dubstep",
9: "Jazz & Blues",
10: "Drum & Bass",
11: "Trance",
12: "Chanson",
13: "Ethnic",
14: "Acoustic & Vocal",
15: "Reggae",
16: "Classical",
17: "Indie Pop",
19: "Speech",
22: "Electropop & Disco",
18: "Other"
}
def dictWithoutOneKey(d, key):
new_d = d.copy()
new_d.pop(key)
return new_d
if __name__ == '__main__':
musicFileName = sys.argv[1]
destFileName = sys.argv[2]
tokenizer = RegexpTokenizer(r"[A-Za-zА-Яа-я]+")
stemmer = RussianStemmer()
audioStats = dict()
with open(musicFileName, "r", encoding="utf8") as f_music:
for line in f_music:
jsonData = json.loads(line, encoding="utf8")
for song in list(jsonData.values())[0]:
songName = "{} - {}".format(song["artist"], song["title"])
filteredSongName = "".join(
[stemmer.stem(token).lower() for token in tokenizer.tokenize(songName)]
)
if len(filteredSongName) > 1:
audioStatsItem = audioStats.get(filteredSongName, {
"name": songName,
"url": song["url"],
"genre": genres.get(song["genre_id"], "Other"),
"count": 0
})
audioStatsItem["count"] += 1
audioStats[filteredSongName] = audioStatsItem
with open(destFileName, "w", encoding="utf-8") as f_out:
sortedSongs = [item[1] for item in sorted(audioStats.items(), key=lambda item: item[1]["count"], reverse=True)]
data = OrderedDict([(item["name"], dictWithoutOneKey(item, "name")) for item in sortedSongs])
f_out.write(json.dumps(data, ensure_ascii=False, indent=4))