mirror of
https://github.com/HiMeditator/auto-caption.git
synced 2026-02-04 12:24:42 +08:00
refactor(engine): 字幕引擎文件夹重命名,字幕记录添加降序选择
- 字幕记录表格可以按时间降序排列 - 将 caption-engine 重命名为 engine - 更新了相关文件和文件夹的路径 - 修改了 README 和 TODO 文档中的相关内容 - 更新了 Electron 构建配置
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94
engine/sysaudio/linux.py
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94
engine/sysaudio/linux.py
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"""获取 Linux 系统音频输入流"""
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import subprocess
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def findMonitorSource():
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result = subprocess.run(
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["pactl", "list", "short", "sources"],
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stdout=subprocess.PIPE, text=True
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)
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lines = result.stdout.splitlines()
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for line in lines:
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parts = line.split('\t')
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if len(parts) >= 2 and ".monitor" in parts[1]:
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return parts[1]
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raise RuntimeError("System output monitor device not found")
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def findInputSource():
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result = subprocess.run(
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["pactl", "list", "short", "sources"],
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stdout=subprocess.PIPE, text=True
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)
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lines = result.stdout.splitlines()
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for line in lines:
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parts = line.split('\t')
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name = parts[1]
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if ".monitor" not in name:
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return name
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raise RuntimeError("Microphone input device not found")
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class AudioStream:
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"""
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获取系统音频流
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初始化参数:
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audio_type: 0-系统音频输出流(不支持,不会生效),1-系统音频输入流(默认)
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chunk_rate: 每秒采集音频块的数量,默认为20
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"""
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def __init__(self, audio_type=1, chunk_rate=20):
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self.audio_type = audio_type
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if self.audio_type == 0:
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self.source = findMonitorSource()
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else:
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self.source = findInputSource()
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self.process = None
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self.SAMP_WIDTH = 2
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self.FORMAT = 16
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self.CHANNELS = 2
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self.RATE = 48000
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self.CHUNK = self.RATE // chunk_rate
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def printInfo(self):
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dev_info = f"""
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音频捕获进程:
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- 捕获类型:{"音频输出" if self.audio_type == 0 else "音频输入"}
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- 设备源:{self.source}
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- 捕获进程PID:{self.process.pid if self.process else "None"}
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音频样本块大小:{self.CHUNK}
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样本位宽:{self.SAMP_WIDTH}
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采样格式:{self.FORMAT}
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音频通道数:{self.CHANNELS}
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音频采样率:{self.RATE}
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"""
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print(dev_info)
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def openStream(self):
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"""
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启动音频捕获进程
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"""
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self.process = subprocess.Popen(
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["parec", "-d", self.source, "--format=s16le", "--rate=48000", "--channels=2"],
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stdout=subprocess.PIPE
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)
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def read_chunk(self):
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"""
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读取音频数据
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"""
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if self.process:
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return self.process.stdout.read(self.CHUNK)
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return None
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def closeStream(self):
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"""
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关闭系统音频捕获进程
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"""
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if self.process:
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self.process.terminate()
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