Initial import: Music_Server, MusicFree, catalog-sync
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'''
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Function:
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Implementation of MusicdlGUI
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Author:
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Zhenchao Jin
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WeChat Official Account (微信公众号):
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Charles的皮卡丘
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'''
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import os
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import sys
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import requests
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from PyQt5 import *
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from PyQt5 import QtCore
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from PyQt5.QtGui import *
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from PyQt5.QtCore import *
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from musicdl import musicdl
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from PyQt5.QtWidgets import *
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from musicdl.modules.utils.misc import touchdir, sanitize_filepath
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'''MusicdlGUI'''
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class MusicdlGUI(QWidget):
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def __init__(self):
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super(MusicdlGUI, self).__init__()
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# initialize
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self.setWindowTitle('MusicdlGUI —— Charles的皮卡丘')
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self.setWindowIcon(QIcon(os.path.join(os.path.dirname(__file__), 'icon.ico')))
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self.setFixedSize(900, 480)
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self.initialize()
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# search sources
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self.src_names = ['QQMusicClient', 'KuwoMusicClient', 'MiguMusicClient', 'QianqianMusicClient', 'KugouMusicClient', 'NeteaseMusicClient']
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self.label_src = QLabel('Search Engine:')
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self.check_boxes = []
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for src in self.src_names:
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cb = QCheckBox(src, self)
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cb.setCheckState(QtCore.Qt.Checked)
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self.check_boxes.append(cb)
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# input boxes
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self.label_keyword = QLabel('Keywords:')
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self.lineedit_keyword = QLineEdit('尾戒')
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self.button_keyword = QPushButton('Search')
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# search results table
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self.results_table = QTableWidget()
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self.results_table.setColumnCount(7)
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self.results_table.setHorizontalHeaderLabels(['ID', 'Singers', 'Songname', 'Filesize', 'Duration', 'Album', 'Source'])
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self.results_table.horizontalHeader().setStyleSheet("QHeaderView::section{background:skyblue;color:black;}")
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self.results_table.setEditTriggers(QAbstractItemView.NoEditTriggers)
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self.results_table.setSelectionBehavior(QAbstractItemView.SelectRows)
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# mouse click menu
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self.context_menu = QMenu(self)
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self.action_download = self.context_menu.addAction('Download')
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# progress bar
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self.bar_download = QProgressBar(self)
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self.label_download = QLabel('Download progress:')
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# grid
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grid = QGridLayout()
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grid.addWidget(self.label_src, 0, 0, 1, 1)
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for idx, cb in enumerate(self.check_boxes): grid.addWidget(cb, 0, idx+1, 1, 1)
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grid.addWidget(self.label_keyword, 1, 0, 1, 1)
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grid.addWidget(self.lineedit_keyword, 1, 1, 1, len(self.src_names)-1)
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grid.addWidget(self.button_keyword, 1, len(self.src_names), 1, 1)
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grid.addWidget(self.label_download, 2, 0, 1, 1)
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grid.addWidget(self.bar_download, 2, 1, 1, len(self.src_names))
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grid.addWidget(self.results_table, 3, 0, len(self.src_names), len(self.src_names)+1)
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self.grid = grid
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self.setLayout(grid)
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# connect
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self.button_keyword.clicked.connect(self.search)
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self.results_table.setContextMenuPolicy(QtCore.Qt.CustomContextMenu)
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self.results_table.customContextMenuRequested.connect(self.mouseclick)
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self.action_download.triggered.connect(self.download)
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'''initialize'''
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def initialize(self):
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self.search_results = {}
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self.music_records = {}
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self.selected_music_idx = -10000
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self.music_client = None
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'''mouseclick'''
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def mouseclick(self):
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self.context_menu.move(QCursor().pos())
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self.context_menu.show()
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'''download'''
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def download(self):
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self.selected_music_idx = str(self.results_table.selectedItems()[0].row())
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song_info = self.music_records.get(self.selected_music_idx)
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with requests.get(song_info['download_url'], headers=self.music_client.music_clients[song_info['source']].default_download_headers, stream=True, verify=False) as resp:
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if resp.status_code == 200:
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total_size, chunk_size, download_size = int(resp.headers['content-length']), 1024, 0
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touchdir(song_info['work_dir'])
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download_music_file_path = sanitize_filepath(os.path.join(song_info['work_dir'], song_info['song_name']+'.'+song_info['ext']))
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with open(download_music_file_path, 'wb') as fp:
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for chunk in resp.iter_content(chunk_size=chunk_size):
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if not chunk: continue
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fp.write(chunk)
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download_size += len(chunk)
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self.bar_download.setValue(int(download_size / total_size * 100))
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QMessageBox().information(self, 'Successful Downloads', f"Finish downloading {song_info['song_name']} by {song_info['singers']}, see {download_music_file_path}")
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self.bar_download.setValue(0)
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'''search'''
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def search(self):
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self.initialize()
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# selected music sources
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music_sources = []
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for cb in self.check_boxes:
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if cb.isChecked():
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music_sources.append(cb.text())
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# keyword
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keyword = self.lineedit_keyword.text()
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# search
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self.music_client = musicdl.MusicClient(music_sources=music_sources)
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self.search_results = self.music_client.search(keyword=keyword)
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# showing
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count, row = 0, 0
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for per_source_search_results in self.search_results.values():
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count += len(per_source_search_results)
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self.results_table.setRowCount(count)
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for _, (_, per_source_search_results) in enumerate(self.search_results.items()):
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for _, per_source_search_result in enumerate(per_source_search_results):
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for column, item in enumerate([str(row), per_source_search_result['singers'], per_source_search_result['song_name'], per_source_search_result['file_size'], per_source_search_result['duration'], per_source_search_result['album'], per_source_search_result['source']]):
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self.results_table.setItem(row, column, QTableWidgetItem(item))
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self.results_table.item(row, column).setTextAlignment(Qt.AlignHCenter | Qt.AlignVCenter)
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self.music_records.update({str(row): per_source_search_result})
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row += 1
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# return
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return self.search_results
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'''tests'''
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if __name__ == '__main__':
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app = QApplication(sys.argv)
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gui = MusicdlGUI()
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gui.show()
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sys.exit(app.exec_())
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@@ -0,0 +1,3 @@
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requests
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PyQt5
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musicdl
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requests
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musicdl
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simpleaudio
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pyaudio
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pydub
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'''
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Function:
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Implementation of SearchLyrics
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Author:
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Zhenchao Jin
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WeChat Official Account (微信公众号):
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Charles的皮卡丘
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'''
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import re
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import os
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from pydub import AudioSegment
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from pydub.playback import play
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from musicdl.modules.sources import NeteaseMusicClient
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from musicdl.modules.utils.misc import sanitize_filepath
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'''SearchLyrics'''
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class SearchLyrics():
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def __init__(self):
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self.music_client = NeteaseMusicClient(search_size_per_source=1)
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'''start'''
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def start(self):
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# inputs
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keyword = input('Input lyrics: ')
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# search and download music files
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print('[INFO]: Searching and downloading music files by lyrics')
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song_infos = self.music_client.search(keyword)[:1]
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self.music_client.download(song_infos)
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# extract audio clips
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print('[INFO]: Extract the corresponding audio clip and play')
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lyrics: str = song_infos[0]['lyric']
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start, end = None, None
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for lyric in lyrics.split('\n'):
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if start is not None and end is not None:
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break
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if keyword in lyric:
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start: str = re.findall(r'\[(.*?)\]', lyric)[0]
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start = int(float(start.split(':')[0])) * 1000 * 60 + int(float(start.split(':')[1])) * 1000 - 1000
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elif start is not None:
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end: str = re.findall(r'\[(.*?)\]', lyric)[0]
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end = int(float(end.split(':')[0])) * 1000 * 60 + int(float(end.split(':')[1])) * 1000 + 1000
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# play
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file_path = os.path.join(song_infos[0]['work_dir'], f"{song_infos[0]['song_name']}.{song_infos[0]['ext']}")
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music = AudioSegment.from_mp3(file=sanitize_filepath(file_path))
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music_cut = music[start: end]
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music_cut.export(out_f=os.path.join(song_infos[0]['work_dir'], f"{song_infos[0]['song_name']}_cut.{song_infos[0]['ext']}"), format='mp3')
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play(music_cut)
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'''tests'''
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if __name__ == '__main__':
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client = SearchLyrics()
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client.start()
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jieba
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numpy
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pillow
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musicdl==2.3.6
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snownlp
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wordcloud
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pyecharts
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'''
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Function:
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Implementation of SingerLyricsAnalysis
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Author:
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Zhenchao Jin
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WeChat Official Account (微信公众号):
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||||
Charles的皮卡丘
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'''
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import os
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import jieba
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import pickle
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import numpy as np
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from PIL import Image
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from snownlp import SnowNLP
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from wordcloud import WordCloud
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from musicdl.modules.sources import MiguMusicClient
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'''SingerLyricsAnalysis'''
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class SingerLyricsAnalysis():
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def __init__(self):
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self.root_dir = os.path.split(os.path.abspath(__file__))[0]
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self.music_client = MiguMusicClient(search_size_per_source=2000)
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'''start'''
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def start(self):
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while True:
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singer_name = input('Input singer to analyze: ')
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print(f'[INFO]: Searching {singer_name}')
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infos = self.crawler(singer_name)
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print(f'[INFO]: Analyzing {singer_name}')
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self.analysis(infos)
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'''crawler'''
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def crawler(self, singer_name):
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song_infos = self.music_client.search(keyword=singer_name)
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self.save(singer_name=singer_name, song_infos=song_infos)
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return song_infos
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'''analysis'''
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def analysis(self, song_infos):
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# data clean
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lyrics = []
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for song_info in song_infos:
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lyric = song_info['lyric']
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lyric = lyric.split('\r\n')
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lyric_filtered = []
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for sentence in lyric:
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sentence = sentence[10:]
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if (not sentence) or ('：' in sentence) or (self.root_dir in sentence) or ('[' in sentence) or (']' in sentence) or ('歌曲' in sentence): continue
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lyric_filtered.append(sentence)
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lyrics += lyric_filtered
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# generatewordcloud
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words_dict = {}
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for sentence in lyrics:
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words = jieba.cut(sentence)
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for word in words:
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word = word.strip()
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if not word: continue
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if len(word) < 2: continue
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if word in words_dict: words_dict[word] += 1
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else: words_dict[word] = 1
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words_freq_sorted = sorted(words_dict.items(), key=lambda item: item[1])
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words_freq_top10 = words_freq_sorted[-10:]
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self.generatewordcloud(words_dict)
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self.drawbar('%s歌曲中的词语TOP10' % self.root_dir, words_freq_top10)
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# nlp analysis
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nlp_dict = {'内容极度负面': 0, '内容较为负面': 0, '内容中性': 0, '内容较为正面': 0, '内容非常正面': 0}
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for sentence in lyrics:
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score = SnowNLP(sentence).sentiments
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if score < 0.2:
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nlp_dict['内容极度负面'] += 1
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elif score >= 0.2 and score < 0.4:
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nlp_dict['内容较为负面'] += 1
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elif score >= 0.4 and score < 0.6:
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nlp_dict['内容中性'] += 1
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elif score >= 0.6 and score < 0.8:
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nlp_dict['内容较为正面'] += 1
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else:
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nlp_dict['内容非常正面'] += 1
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self.drawpie('%s的歌词情感分析' % self.root_dir, nlp_dict)
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'''drawbar'''
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def drawbar(self, title, infos):
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from pyecharts.charts import Bar
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from pyecharts import options as opts
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from pyecharts.globals import ThemeType
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bar = Bar(init_opts=opts.InitOpts(theme=ThemeType.LIGHT))
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bar.add_xaxis([item[0] for item in infos])
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bar.add_yaxis('freq', [item[1] for item in infos])
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bar.set_global_opts(title_opts=opts.TitleOpts(title=title))
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bar.render(os.path.join(self.root_dir, title+'.html'))
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'''drawpie'''
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def drawpie(self, title, infos):
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from pyecharts.charts import Pie
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from pyecharts import options as opts
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pie = Pie(init_opts=dict(theme='westeros', page_title=title)).add(title, data_pair=tuple(zip(infos.keys(), infos.values())), rosetype='area')
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pie.set_global_opts(title_opts=opts.TitleOpts(title=title))
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pie.render(os.path.join(self.root_dir, '%s.html' % title))
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'''generatewordcloud'''
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def generatewordcloud(self, infos):
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mask = Image.open(os.path.join(self.root_dir, 'resources/mask.jpg'))
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mask = np.array(mask)
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wc = WordCloud(background_color='white', font_path=os.path.join(self.root_dir, 'resources/font_cn.TTF'), mask=mask)
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result = wc.generate_from_frequencies(infos)
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result.to_file(os.path.join(self.root_dir, 'wordcloud.png'))
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'''save'''
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def save(self, song_infos, singer_name):
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data_save_path = os.path.join(self.root_dir, f'song_infos_{singer_name}.pkl')
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with open(data_save_path, 'wb') as fp:
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pickle.dump(song_infos, fp)
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'''load'''
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def load(self, singer_name):
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data_save_path = os.path.join(self.root_dir, f'song_infos_{singer_name}.pkl')
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fp = open(data_save_path, 'rb')
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return pickle.load(fp)
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||||
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||||
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'''tests'''
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||||
if __name__ == '__main__':
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client = SingerLyricsAnalysis()
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client.start()
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<!DOCTYPE html>
|
||||
<html>
|
||||
<head>
|
||||
<meta charset="UTF-8">
|
||||
<title>Awesome-pyecharts</title>
|
||||
<script type="text/javascript" src="https://assets.pyecharts.org/assets/echarts.min.js"></script>
|
||||
|
||||
</head>
|
||||
<body>
|
||||
<div id="e7c5b8339a7c42849b00404c8a8ed598" class="chart-container" style="width:900px; height:500px;"></div>
|
||||
<script>
|
||||
var chart_e7c5b8339a7c42849b00404c8a8ed598 = echarts.init(
|
||||
document.getElementById('e7c5b8339a7c42849b00404c8a8ed598'), 'light', {renderer: 'canvas'});
|
||||
var option_e7c5b8339a7c42849b00404c8a8ed598 = {
|
||||
"animation": true,
|
||||
"animationThreshold": 2000,
|
||||
"animationDuration": 1000,
|
||||
"animationEasing": "cubicOut",
|
||||
"animationDelay": 0,
|
||||
"animationDurationUpdate": 300,
|
||||
"animationEasingUpdate": "cubicOut",
|
||||
"animationDelayUpdate": 0,
|
||||
"series": [
|
||||
{
|
||||
"type": "bar",
|
||||
"name": "freq",
|
||||
"legendHoverLink": true,
|
||||
"data": [
|
||||
112,
|
||||
116,
|
||||
136,
|
||||
138,
|
||||
145,
|
||||
162,
|
||||
193,
|
||||
196,
|
||||
230,
|
||||
250
|
||||
],
|
||||
"showBackground": false,
|
||||
"barMinHeight": 0,
|
||||
"barCategoryGap": "20%",
|
||||
"barGap": "30%",
|
||||
"large": false,
|
||||
"largeThreshold": 400,
|
||||
"seriesLayoutBy": "column",
|
||||
"datasetIndex": 0,
|
||||
"clip": true,
|
||||
"zlevel": 0,
|
||||
"z": 2,
|
||||
"label": {
|
||||
"show": true,
|
||||
"position": "top",
|
||||
"margin": 8
|
||||
}
|
||||
}
|
||||
],
|
||||
"legend": [
|
||||
{
|
||||
"data": [
|
||||
"freq"
|
||||
],
|
||||
"selected": {
|
||||
"freq": true
|
||||
},
|
||||
"show": true,
|
||||
"padding": 5,
|
||||
"itemGap": 10,
|
||||
"itemWidth": 25,
|
||||
"itemHeight": 14
|
||||
}
|
||||
],
|
||||
"tooltip": {
|
||||
"show": true,
|
||||
"trigger": "item",
|
||||
"triggerOn": "mousemove|click",
|
||||
"axisPointer": {
|
||||
"type": "line"
|
||||
},
|
||||
"showContent": true,
|
||||
"alwaysShowContent": false,
|
||||
"showDelay": 0,
|
||||
"hideDelay": 100,
|
||||
"textStyle": {
|
||||
"fontSize": 14
|
||||
},
|
||||
"borderWidth": 0,
|
||||
"padding": 5
|
||||
},
|
||||
"xAxis": [
|
||||
{
|
||||
"show": true,
|
||||
"scale": false,
|
||||
"nameLocation": "end",
|
||||
"nameGap": 15,
|
||||
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Reference in New Issue
Block a user