-
Notifications
You must be signed in to change notification settings - Fork 0
Expand file tree
/
Copy pathMusicMetadataInputer.py
More file actions
532 lines (493 loc) · 22.7 KB
/
MusicMetadataInputer.py
File metadata and controls
532 lines (493 loc) · 22.7 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
# 请帮我写个中文的 Python 脚本,批注也是中文,但是变量参数不要是中文:
# 在脚本开始前询问我 excel 文件位置(默认为:d:\Works\Attachments\标准.xlsx),源文件夹位置(默认为:d:\Works\Downloads\)。
# 读取 excel 文件,第一行为表头(字段名)。此后每一行为一条记录。
# 依据 excel 文件中的“原文件名”字段,匹配源文件夹下文件,读取其标题、艺术家、专辑数据,写入excel“名字”、“演唱”、“专辑”字段。
# 根据“名字”字段,查找该音乐的元数据。分别填入“专辑”、“盘号”、“音轨”、“年份”、“类型”、“封面”、“发行公司”、“演唱”、“作词”、“作曲”。“封面”为链接地址。
# 反复循环。
# 导入模块
import os
import re
import time
import subprocess
import pandas as pd
import musicbrainzngs as mb
from musicbrainzngs import caa
import zhconv
import requests
from mutagen import File as MutagenFile
from mutagen.mp3 import MP3
from mutagen.flac import FLAC
from mutagen.easyid3 import EasyID3
from mutagen.id3 import ID3
from requests.adapters import HTTPAdapter
from urllib3.util.retry import Retry
# ---------------- 全局代理设置 ----------------
PROXY = "http://127.0.0.1:10808"
os.environ['http_proxy'] = PROXY
os.environ['https_proxy'] = PROXY
print(f"✅ 已为 MusicBrainz 设置代理:{PROXY}")
# ---------------- 初始化 ----------------
mb.set_useragent("MusicMetadataFiller", "1.0", "your-email@example.com")
LASTFM_KEY_FILE = r"e:\Documents\Creations\Scripts\Attachments\Python\LastfmAPIKey.txt"
NETEASE_API_BASE = "https://music.163.com/api"
SPOTIFY_CREDENTIALS = {
"client_id": os.getenv("SPOTIPY_CLIENT_ID", ""),
"client_secret": os.getenv("SPOTIPY_CLIENT_SECRET", "")
}
# ---------------- 网络 Session ----------------
def create_retry_session(retries=3, backoff_factor=1.0, connect_timeout=10, read_timeout=25, use_proxy=False):
session = requests.Session()
session.trust_env = False
if use_proxy:
session.proxies = {"http": PROXY, "https": PROXY}
retry_strategy = Retry(
total=retries, read=retries, connect=retries,
backoff_factor=backoff_factor,
status_forcelist=[429, 500, 502, 503, 504],
allowed_methods=["HEAD", "GET", "OPTIONS"]
)
adapter = HTTPAdapter(max_retries=retry_strategy)
session.mount("http://", adapter)
session.mount("https://", adapter)
session.timeout = (connect_timeout, read_timeout)
session.headers.update({
'User-Agent': 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36',
'Referer': 'https://music.163.com/',
'Accept': 'application/json, text/plain, */*',
'Accept-Language': 'zh-CN,zh;q=0.9,en;q=0.8',
})
return session
session = create_retry_session() # 直连
session_proxy = create_retry_session(use_proxy=True) # 带代理
# ---------------- 工具函数 ----------------
def get_audio_metadata(file_path):
result = {'title': '', 'artist': '', 'album': ''}
try:
audio = MutagenFile(file_path)
if audio is None:
return result
if isinstance(audio, MP3):
try:
tags = EasyID3(file_path)
result['title'] = tags.get('title', [''])[0]
result['artist'] = tags.get('artist', [''])[0]
result['album'] = tags.get('album', [''])[0]
except:
tags = ID3(file_path)
result['title'] = str(tags.get('TIT2', ''))
result['artist'] = str(tags.get('TPE1', ''))
result['album'] = str(tags.get('TALB', ''))
elif isinstance(audio, FLAC):
result['title'] = audio.get('title', [''])[0] if audio.get('title') else ''
result['artist'] = audio.get('artist', [''])[0] if audio.get('artist') else ''
result['album'] = audio.get('album', [''])[0] if audio.get('album') else ''
else:
for key in ['title', '©nam', 'TIT2']:
if key in audio: result['title'] = str(audio[key])
for key in ['artist', '©ART', 'TPE1']:
if key in audio: result['artist'] = str(audio[key])
for key in ['album', '©alb', 'TALB']:
if key in audio: result['album'] = str(audio[key])
except Exception as e:
print(f" ⚠️ 读取元数据失败: {e}")
return result
def find_file_in_folder(folder, filename):
if not filename:
return None
if os.path.sep in filename or '/' in filename:
full = os.path.join(folder, filename)
if os.path.isfile(full): return full
alt = full.replace('\\', '/').replace('/', os.path.sep)
if os.path.isfile(alt): return alt
for root, _, files in os.walk(folder):
if filename in files:
return os.path.join(root, filename)
return None
# ---------------- MusicBrainz 相关 ----------------
def simplify_to_traditional(text):
return zhconv.convert(text, 'zh-tw') if isinstance(text, str) else text
def search_recording_by_query(song_title, artist_name=""):
try:
query = f"{artist_name} {song_title}" if artist_name else song_title
result = mb.search_recordings(query=query, limit=5, strict=False)
if result and 'recording-list' in result:
for rec in result['recording-list']:
if rec.get('title') == song_title:
return rec
return result['recording-list'][0]
except Exception as e:
print(f" 搜索录音失败: {e}")
return None
def get_release_info_from_recording(recording):
info = {'album': '', 'disc_number': '', 'track_number': '',
'year': '', 'label': '', 'artist': '', 'release_group_id': ''}
if 'release-list' not in recording or not recording['release-list']:
return info
release = recording['release-list'][0]
info['release_group_id'] = release.get('release-group', {}).get('id', '')
release_id = release.get('id')
if not release_id:
return info
try:
rd = mb.get_release_by_id(release_id, includes=['recordings', 'artists', 'labels', 'media'])['release']
info['album'] = rd.get('title', '')
date = rd.get('date', '')
if date and len(date) >= 4: info['year'] = date[:4]
if 'label-info-list' in rd and rd['label-info-list']:
info['label'] = rd['label-info-list'][0]['label'].get('name', '')
if 'artist-credit' in rd and rd['artist-credit']:
artists = [ac['artist']['name'] for ac in rd['artist-credit'] if 'artist' in ac]
info['artist'] = ' / '.join(artists)
if 'medium-list' in rd:
for medium in rd['medium-list']:
for track in medium.get('track-list', []):
if track.get('recording', {}).get('id') == recording['id']:
info['track_number'] = str(track.get('number', ''))
info['disc_number'] = str(medium.get('position', ''))
break
if info['track_number']: break
except Exception as e:
print(f" 获取发行详情失败: {e}")
return info
# ---------------- 封面获取(已删除 SACAD) ----------------
def fetch_cover_from_caa(release_group_id):
""" MusicBrainz CAA(代理) """
if not release_group_id:
return ""
try:
images = caa.get_release_group_image_list(release_group_id)
if images and 'images' in images and images['images']:
front = [img for img in images['images'] if img.get('front', False)]
img = front[0] if front else images['images'][0]
thumb = img.get('thumbnails', {}).get('large', '')
if thumb:
print(" 🖼️ [CAA] 获取封面成功")
return thumb
except Exception as e:
print(f" [CAA] 错误: {e}")
return ""
def fetch_cover_from_netease(song_title, artist_name=""):
""" 网易云(直连) """
try:
keyword = f"{song_title} {artist_name}" if artist_name else song_title
params = {'s': keyword, 'type': 1, 'limit': 5, 'offset': 0}
url = f"{NETEASE_API_BASE}/search/get"
for _ in range(3):
try:
resp = session.get(url, params=params, timeout=20)
data = resp.json()
if data['code'] == 200:
songs = data['result']['songs']
for song in songs:
if song['name'].lower() == song_title.lower():
sid = song['id']
detail = session.get(f"{NETEASE_API_BASE}/song/detail",
params={'ids': f'[{sid}]'}, timeout=20).json()
if detail['code'] == 200 and detail['songs']:
pic = detail['songs'][0]['al']['picUrl']
if pic:
print(" 🎵 [网易云] 获取封面成功")
return pic
pic = song.get('al', {}).get('picUrl')
if pic:
print(" 🎵 [网易云] 获取封面成功(搜索结果)")
return pic
if songs and songs[0].get('al', {}).get('picUrl'):
print(" 🎵 [网易云] 获取封面成功(模糊)")
return songs[0]['al']['picUrl']
break
except:
time.sleep(1)
except Exception as e:
print(f" [网易云] 错误: {e}")
return ""
def fetch_cover_from_qqmusic(song_title, artist_name=""):
""" QQ音乐(直连) """
try:
keyword = f"{song_title} {artist_name}" if artist_name else song_title
url = "https://c.y.qq.com/soso/fcgi-bin/client_search_cp"
params = {"format": "json", "n": 5, "p": 1, "w": keyword, "cr": 1, "g_tk": 5381}
headers = {'Referer': 'https://y.qq.com/'}
resp = session.get(url, params=params, headers=headers, timeout=15)
data = resp.json()
songs = data.get("data", {}).get("song", {}).get("list", [])
if not songs: return ""
for song in songs:
if song.get("name", "").lower() == song_title.lower():
cover = song.get("album_pic") or song.get("album", {}).get("picUrl")
if cover:
print(" 🎵 [QQ音乐] 获取封面成功")
return cover
if songs:
cover = songs[0].get("album_pic")
if cover:
print(" 🎵 [QQ音乐] 获取封面成功(模糊)")
return cover
except Exception as e:
print(f" [QQ音乐] 错误: {e}")
return ""
def fetch_cover_from_itunes(song_title, artist_name=""):
""" iTunes(直连) """
try:
term = f"{song_title} {artist_name}" if artist_name else song_title
params = {"term": term, "country": "cn", "entity": "song", "limit": 1}
resp = session.get("https://itunes.apple.com/search", params=params, timeout=15)
data = resp.json()
if data['resultCount'] > 0:
cover = data['results'][0].get('artworkUrl100', '')
if cover:
print(" 🍎 [iTunes] 获取封面成功")
return cover.replace('100x100bb', '1000x1000bb')
except Exception as e:
print(f" [iTunes] 错误: {e}")
return ""
def fetch_cover_from_spotify(song_title, artist_name=""):
""" Spotify(通过带代理的 session) """
try:
import spotipy
from spotipy.oauth2 import SpotifyClientCredentials
except ImportError:
print(" [Spotify] 未安装 spotipy,跳过")
return ""
cred = SPOTIFY_CREDENTIALS
if not cred["client_id"] or not cred["client_secret"]:
print(" [Spotify] 未配置凭证,跳过")
return ""
try:
client_mgr = SpotifyClientCredentials(
client_id=cred["client_id"],
client_secret=cred["client_secret"],
requests_session=session_proxy
)
sp = spotipy.Spotify(client_credentials_manager=client_mgr)
query = f"track:{song_title}"
if artist_name: query += f" artist:{artist_name}"
results = sp.search(q=query, type='track', limit=3)
tracks = results['tracks']['items']
if not tracks: return ""
for track in tracks:
if track['name'].lower() == song_title.lower():
images = track['album']['images']
if images:
print(" 🟢 [Spotify] 获取封面成功")
return images[0]['url']
if tracks[0]['album']['images']:
print(" 🟢 [Spotify] 获取封面成功(模糊)")
return tracks[0]['album']['images'][0]['url']
except Exception as e:
print(f" [Spotify] 错误: {e}")
return ""
def fetch_best_cover(song_title, artist_name, album_name, release_group_id):
""" 按顺序尝试所有封面来源(已移除 SACAD) """
methods = [
("MusicBrainz CAA", lambda: fetch_cover_from_caa(release_group_id)),
("网易云", lambda: fetch_cover_from_netease(song_title, artist_name)),
("QQ音乐", lambda: fetch_cover_from_qqmusic(song_title, artist_name)),
("iTunes", lambda: fetch_cover_from_itunes(song_title, artist_name)),
("Spotify", lambda: fetch_cover_from_spotify(song_title, artist_name)),
]
for name, func in methods:
print(f" 尝试 {name} 获取封面...")
try:
url = func()
if url:
print(f" ✅ 封面已由 {name} 提供: {url}")
return url
else:
print(f" {name} 未返回有效封面。")
except Exception as e:
print(f" {name} 异常: {e}")
time.sleep(0.3)
return ""
# ---------------- 歌词/人员 ----------------
def search_netease_song(song_title, artist_name=""):
try:
keyword = f"{song_title} {artist_name}" if artist_name else song_title
resp = session.get(f"{NETEASE_API_BASE}/search/get", params={"s": keyword, "type": 1, "limit": 5, "offset": 0}, timeout=20)
data = resp.json()
if data.get("code") != 200: return None, None
songs = data["result"]["songs"]
for s in songs:
if s['name'].lower() == song_title.lower():
return s['id'], s['name']
return songs[0]['id'], songs[0]['name'] if songs else (None, None)
except:
return None, None
def get_song_lyrics(song_id):
if not song_id: return None
for _ in range(3):
try:
resp = session.get(f"{NETEASE_API_BASE}/song/lyric", params={"id": song_id, "lv": 1}, timeout=20)
if resp.status_code == 200:
data = resp.json()
if data.get("code") == 200 and data.get("lrc"):
return data["lrc"]["lyric"]
except:
time.sleep(1)
return None
def parse_lyrics_for_credits(lyrics):
result = {'lyricist': '', 'composer': '', 'arranger': ''}
if not lyrics: return result
for line in lyrics.split('\n')[:50]:
line = line.strip()
m = re.search(r'作词[\s::]+([^,\n\r]+)', line)
if m and not result['lyricist']: result['lyricist'] = m.group(1).strip()
m = re.search(r'作曲[\s::]+([^,\n\r]+)', line)
if m and not result['composer']: result['composer'] = m.group(1).strip()
m = re.search(r'编曲[\s::]+([^,\n\r]+)', line)
if m and not result['arranger']: result['arranger'] = m.group(1).strip()
if not result['lyricist'] or not result['composer']:
mixed = re.search(r'词[::]\s*([^曲]+)曲[::]\s*([^编]+)', line)
if mixed:
if not result['lyricist']: result['lyricist'] = mixed.group(1).strip()
if not result['composer']: result['composer'] = mixed.group(2).strip()
if not result['arranger']:
arr = re.search(r'编曲[::]\s*([^,\n\r]+)', line)
if arr: result['arranger'] = arr.group(1).strip()
return result
def fetch_netease_credits(song_title, artist_name=""):
sid, _ = search_netease_song(song_title, artist_name)
if sid:
lyrics = get_song_lyrics(sid)
if lyrics:
credits = parse_lyrics_for_credits(lyrics)
if any(credits.values()):
print(f" 📝 作词={credits['lyricist']}, 作曲={credits['composer']}, 编曲={credits['arranger']}")
return credits
return {'lyricist': '', 'composer': '', 'arranger': ''}
# ---------------- Last.fm ----------------
def read_lastfm_api_key():
if not os.path.exists(LASTFM_KEY_FILE): return None
with open(LASTFM_KEY_FILE, 'r', encoding='utf-8') as f:
key = f.read().strip()
return key if key else None
def get_lastfm_tags(artist, title, api_key):
if not api_key or not artist or not title: return ""
params = {"method": "track.getTopTags", "artist": artist, "track": title,
"api_key": api_key, "format": "json"}
try:
resp = session.get("http://ws.audioscrobbler.com/2.0/", params=params, timeout=10)
data = resp.json()
if "toptags" in data and "tag" in data["toptags"]:
return ", ".join([t["name"] for t in data["toptags"]["tag"][:5]])
except:
pass
return ""
# ---------------- 主元数据填充 ----------------
def fetch_all_metadata(song_title, artist_name, album_name, lastfm_key):
meta = {'disc_number': '', 'track_number': '', 'year': '', 'cover_url': '',
'label': '', 'genre': '', 'lyricist': '', 'composer': '', 'arranger': ''}
if not song_title:
return meta
# MusicBrainz 搜索(代理)
recording = None
if album_name:
try:
res = mb.search_recordings(query=f"{album_name} {song_title}", limit=5, strict=False)
if res and 'recording-list' in res:
recording = res['recording-list'][0]
except: pass
if not recording:
recording = search_recording_by_query(song_title, artist_name)
if not recording:
trad = simplify_to_traditional(song_title)
if trad != song_title:
recording = search_recording_by_query(trad, artist_name)
if not recording:
recording = search_recording_by_query(song_title, "")
release_group_id = ""
if recording:
print(f" 匹配录音: {recording.get('title', 'Unknown')}")
rel_info = get_release_info_from_recording(recording)
meta['disc_number'] = rel_info['disc_number']
meta['track_number'] = rel_info['track_number']
meta['year'] = rel_info['year']
meta['label'] = rel_info['label']
release_group_id = rel_info['release_group_id']
else:
print(" MusicBrainz 未找到匹配")
# 封面多源尝试
meta['cover_url'] = fetch_best_cover(song_title, artist_name, album_name, release_group_id)
# 流派
if lastfm_key and artist_name:
meta['genre'] = get_lastfm_tags(artist_name, song_title, lastfm_key)
# 作词/作曲
credits = fetch_netease_credits(song_title, artist_name)
meta.update(credits)
return meta
# ---------------- 运行流程 ----------------
def run_once():
default_excel = r"d:\Works\Attachments\标准.xlsx"
excel_path = input(f"请输入 Excel 文件路径(直接回车使用默认:{default_excel}): ").strip()
if not excel_path: excel_path = default_excel
if not os.path.exists(excel_path):
print(f"错误:文件不存在 - {excel_path}")
return
default_source = r"d:\Works\Downloads"
source_folder = input(f"请输入音频文件夹路径(默认:{default_source}): ").strip()
if not source_folder: source_folder = default_source
if not os.path.isdir(source_folder):
print(f"错误:文件夹不存在 - {source_folder}")
return
print(f"\n读取 Excel: {excel_path}")
df = pd.read_excel(excel_path, dtype=str)
print(f"共 {len(df)} 条记录,字段:{list(df.columns)}")
if '原文件名' not in df.columns:
print("缺少“原文件名”列,退出。")
return
required = ['名字', '演唱', '专辑', '盘号', '音轨', '年份', '类型', '封面', '发行公司', '作词', '作曲', '编曲']
for col in required:
if col not in df.columns:
df[col] = ''
print(f"新增列:{col}")
# 第一步:读取音频元数据
print("\n--- 第一步:读取音频元数据 ---")
for idx, row in df.iterrows():
orig = str(row['原文件名'])
if not orig or orig == 'nan':
print(f"[{idx+1}/{len(df)}] 空文件名,跳过")
continue
file_path = find_file_in_folder(source_folder, orig)
if not file_path:
print(f"[{idx+1}/{len(df)}] 找不到 {orig}")
continue
print(f"[{idx+1}/{len(df)}] {orig} → {file_path}")
audio = get_audio_metadata(file_path)
df.at[idx, '名字'] = audio['title']
df.at[idx, '演唱'] = audio['artist']
df.at[idx, '专辑'] = audio['album']
df.to_excel(excel_path, index=False)
print(f" 已写: 名字={audio['title']}, 演唱={audio['artist']}, 专辑={audio['album']}")
# 第二步:补充其他元数据
lastfm_key = read_lastfm_api_key()
print("\n--- 第二步:查询网络元数据 ---")
success = 0
for idx, row in df.iterrows():
name = str(row['名字']) if pd.notna(row['名字']) else ''
artist = str(row['演唱']) if pd.notna(row['演唱']) else ''
album = str(row['专辑']) if pd.notna(row['专辑']) else ''
if not name: continue
print(f"\n[{idx+1}/{len(df)}] {name} - {artist} ({album})")
try:
meta = fetch_all_metadata(name, artist, album, lastfm_key)
for key in ['盘号', '音轨', '年份', '封面', '发行公司', '类型', '作词', '作曲', '编曲']:
df.at[idx, key] = meta.get(key, '')
success += 1
df.to_excel(excel_path, index=False)
print(" ✅ 已更新")
time.sleep(0.6)
except Exception as e:
print(f" ❌ 出错: {e}")
df.to_excel(excel_path, index=False)
print(f"\n===== 完成 =====\n共 {len(df)} 条,成功补充 {success} 条\n保存至: {excel_path}")
def main():
while True:
print("\n" + "="*60)
print("音乐元数据批量处理工具(多源封面+代理,已移除SACAD)")
print("="*60)
run_once()
if input("\n继续处理其他文件?(y/n): ").strip().lower() != 'y':
break
print("程序结束。")
if __name__ == "__main__":
main()