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https://github.com/linyqh/NarratoAI.git
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refactor(voice): 优化 Edge TTS 音频生成逻辑- 重构了 Edge TTS音频生成函数，提高了代码可读性和错误处理能力
-增加了重试机制，提高了生成音频的可靠性 -优化了日志输出，提供了更详细的错误信息和生成进度 - 删除了不必要的测试代码和注释，精简了代码结构
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linyqh
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9efccea97f
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0bb811ea79
@ -438,7 +438,6 @@ def clip_videos(task_id: str, timestamp_terms: List[str], origin_video: str, pro
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elif material_directory and not os.path.isdir(material_directory):
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material_directory = video_clips_dir # 如果没有指定material_directory,使用缓存目录
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logger.debug("material_directory:",material_directory)
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try:
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saved_video_path = save_clip_video(timestamp=item, origin_video=origin_video, save_dir=material_directory)
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if saved_video_path:
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@ -511,7 +510,3 @@ def merge_videos(video_paths, ost_list):
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os.remove(silent_video)
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return output_file
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if __name__ == "__main__":
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save_clip_video('00:50-01:41', 'E:\\projects\\NarratoAI\\resource\\videos\\WeChat_20241110144511.mp4')
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@ -351,7 +351,7 @@ def process_subtitles(subtitle_path, video_clip, video_duration, create_text_cli
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for item in sub.subtitles:
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clip = create_text_clip(subtitle_item=item)
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# 时间范围<EFBFBD><EFBFBD>整
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# 时间范围整
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start_time = max(clip.start, 0)
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if start_time >= video_duration:
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continue
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@ -520,9 +520,9 @@ def combine_clip_videos(combined_video_path: str,
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def extract_timestamp_from_filename(filename: str) -> tuple:
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"""
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从文件名中提取时间戳，支持多种格式：
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- "vid-00_06,500-00_24,800.mp4" -> (6.5, 24.8)
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- "vid-00_00_00-020-00_00_10-400.mp4" -> (0.02, 10.4)
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从文件名中提取时间戳，支持格式：
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- "vid-00-00-10_000-00-00-43_039.mp4" -> (10.0, 43.039)
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表示 00时00分10秒000毫秒 到 00时00分43秒039毫秒
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"""
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try:
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# 提取时间戳部分
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@ -533,35 +533,37 @@ def extract_timestamp_from_filename(filename: str) -> tuple:
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timestamp = match.group(1)
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# 处理包含毫秒的格式 (00_00_00-020-00_00_10-400)
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if timestamp.count('-') == 3:
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parts = timestamp.split('-')
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start_time = f"{parts[0]}-{parts[1]}" # 组合开始时间和毫秒
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end_time = f"{parts[2]}-{parts[3]}" # 组合结束时间和毫秒
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def parse_timestamp(time_str: str) -> float:
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"""解析单个时间戳字符串为秒数"""
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try:
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# 处理 "00-00-10_000" 格式
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main_time, milliseconds = time_str.rsplit('_', 1) # 从右边分割，处理可能存在的多个下划线
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time_components = main_time.split('-')
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# 转换开始时间
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start_time_str = start_time.replace('_', ':')
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if start_time_str.count(':') == 2: # 如果是 00:00:00-020 格式
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start_base = utils.time_to_seconds(start_time_str.split('-')[0])
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start_ms = int(start_time_str.split('-')[1]) / 1000
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start_seconds = start_base + start_ms
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else:
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start_seconds = utils.time_to_seconds(start_time_str)
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if len(time_components) != 3:
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raise ValueError(f"时间格式错误: {main_time}")
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# 转换结束时间
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end_time_str = end_time.replace('_', ':')
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if end_time_str.count(':') == 2: # 如果是 00:00:10-400 格式
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end_base = utils.time_to_seconds(end_time_str.split('-')[0])
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end_ms = int(end_time_str.split('-')[1]) / 1000
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end_seconds = end_base + end_ms
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else:
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end_seconds = utils.time_to_seconds(end_time_str)
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hours = int(time_components[0])
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minutes = int(time_components[1])
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seconds = int(time_components[2])
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ms = int(milliseconds)
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# 处理简单格式 (00_06-00_24)
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else:
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start_str, end_str = timestamp.split('-')
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start_seconds = utils.time_to_seconds(start_str.replace('_', ':'))
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end_seconds = utils.time_to_seconds(end_str.replace('_', ':'))
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# 转换为秒数
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total_seconds = hours * 3600 + minutes * 60 + seconds + ms / 1000
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return total_seconds
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except Exception as e:
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raise ValueError(f"解析时间戳失败 {time_str}: {str(e)}")
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# 分割起始和结束时间戳
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timestamps = timestamp.split('-', 5) # 最多分割5次，处理 00-00-10_000-00-00-43_039 格式
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if len(timestamps) != 6: # 应该得到 ['00', '00', '10_000', '00', '00', '43_039']
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raise ValueError(f"时间戳格式错误，无法分割: {timestamp}")
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start_str = '-'.join(timestamps[0:3]) # 组合开始时间 "00-00-10_000"
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end_str = '-'.join(timestamps[3:6]) # 组合结束时间 "00-00-43_039"
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start_seconds = parse_timestamp(start_str)
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end_seconds = parse_timestamp(end_str)
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logger.debug(f"从文件名 {filename} 提取时间戳: {start_seconds:.3f} - {end_seconds:.3f}")
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return start_seconds, end_seconds
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@ -661,9 +663,11 @@ def add_subtitles(video_clip, subtitle_path, font_size, font_name, font_color, p
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size=(video_clip.w * 0.9, None) # 限制字幕宽度
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)
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# 使用 SubtitlesClip，但明确指定 UTF-8 编码
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subtitles = SubtitlesClip(
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subtitle_path,
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subtitle_generator
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subtitle_generator,
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encoding='utf-8' # 明确指定使用 UTF-8 编码
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)
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# 添加字幕到视频
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@ -692,7 +696,7 @@ if __name__ == "__main__":
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# {
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# "picture": "夜晚，一个小孩在树林里奔跑，后面有人拿着火把在追赶",
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# "timestamp": "00:00-00:03",
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# "narration": "夜<EFBFBD><EFBFBD><EFBFBD>风高的树林，一个小孩在拼命奔跑，后面的人穷追不舍！",
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# "narration": "夜风高的树林，一个小孩在拼命奔跑，后面的人穷追不舍！",
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# "OST": False,
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# "new_timestamp": "00:00-00:03"
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# },
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@ -11,6 +11,7 @@ from edge_tts.submaker import mktimestamp
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from xml.sax.saxutils import unescape
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from edge_tts import submaker, SubMaker
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from moviepy.video.tools import subtitles
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import time
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from app.config import config
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from app.utils import utils
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@ -1071,33 +1072,47 @@ def azure_tts_v1(
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pitch_str = convert_pitch_to_percent(voice_pitch)
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for i in range(3):
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try:
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logger.info(f"start, voice name: {voice_name}, try: {i + 1}")
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logger.info(f"第 {i+1} 次使用 edge_tts 生成音频")
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async def _do() -> SubMaker:
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async def _do() -> tuple[SubMaker, bytes]:
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communicate = edge_tts.Communicate(text, voice_name, rate=rate_str, pitch=pitch_str, proxy=config.proxy.get("http"))
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sub_maker = edge_tts.SubMaker()
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with open(voice_file, "wb") as file:
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audio_data = bytes() # 用于存储音频数据
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async for chunk in communicate.stream():
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if chunk["type"] == "audio":
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file.write(chunk["data"])
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audio_data += chunk["data"]
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elif chunk["type"] == "WordBoundary":
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sub_maker.create_sub(
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(chunk["offset"], chunk["duration"]), chunk["text"]
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)
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return sub_maker
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# 判断音频文件是否一件存在
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return sub_maker, audio_data
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# 判断音频文件是否已存在
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if os.path.exists(voice_file):
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logger.info(f"voice file exists, skip tts: {voice_file}")
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continue
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sub_maker = asyncio.run(_do())
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if not sub_maker or not sub_maker.subs:
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logger.warning(f"failed, sub_maker is None or sub_maker.subs is None")
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# 获取音频数据和字幕信息
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sub_maker, audio_data = asyncio.run(_do())
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# 验证数据是否有效
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if not sub_maker or not sub_maker.subs or not audio_data:
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logger.warning(f"failed, invalid data generated")
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if i < 2:
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time.sleep(1)
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continue
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# 数据有效，写入文件
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with open(voice_file, "wb") as file:
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file.write(audio_data)
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logger.info(f"completed, output file: {voice_file}")
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return sub_maker
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except Exception as e:
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logger.error(f"failed, error: {str(e)}")
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logger.error(f"生成音频文件时出错: {str(e)}")
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if i < 2:
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time.sleep(1)
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return None
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@ -1133,14 +1148,6 @@ def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None
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sub_maker = SubMaker()
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def speech_synthesizer_word_boundary_cb(evt: speechsdk.SessionEventArgs):
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# print('WordBoundary event:')
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# print('\tBoundaryType: {}'.format(evt.boundary_type))
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# print('\tAudioOffset: {}ms'.format((evt.audio_offset + 5000)))
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# print('\tDuration: {}'.format(evt.duration))
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# print('\tText: {}'.format(evt.text))
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# print('\tTextOffset: {}'.format(evt.text_offset))
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# print('\tWordLength: {}'.format(evt.word_length))
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duration = _format_duration_to_offset(str(evt.duration))
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offset = _format_duration_to_offset(evt.audio_offset)
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sub_maker.subs.append(evt.text)
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@ -1186,9 +1193,13 @@ def azure_tts_v2(text: str, voice_name: str, voice_file: str) -> [SubMaker, None
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logger.error(
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f"azure v2 speech synthesis error: {cancellation_details.error_details}"
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)
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if i < 2: # 如果不是最后一次重试，则等待1秒
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time.sleep(1)
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logger.info(f"completed, output file: {voice_file}")
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except Exception as e:
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logger.error(f"failed, error: {str(e)}")
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if i < 2: # 如果不是最后一次重试，则等待1秒
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time.sleep(1)
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return None
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@ -1446,7 +1457,7 @@ def tts_multiple(task_id: str, list_script: list, voice_name: str, voice_rate: f
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if sub_maker is None:
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logger.error(f"无法为时间戳 {timestamp} 生成音频; "
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f"如果您在中国，请使用VPN。或者手动选择 zh-CN-YunyangNeural 等角色；"
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f"如果您在中国，请使用VPN; "
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f"或者使用其他 tts 引擎")
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continue
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@ -1463,17 +1474,12 @@ if __name__ == "__main__":
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voice_name = parse_voice_name(voice_name)
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print(voice_name)
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with open("../../resource/scripts/test.json", 'r', encoding='utf-8') as f:
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with open("../../resource/scripts/2024-1203-205442.json", 'r', encoding='utf-8') as f:
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data = json.load(f)
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audio_files, sub_maker_list = tts_multiple(task_id="12312312", list_script=data, voice_name=voice_name, voice_rate=1)
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audio_files, sub_maker_list = tts_multiple(task_id="12312312", list_script=data, voice_name=voice_name, voice_rate=1, voice_pitch=1)
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full_text = " ".join([item['narration'] for item in data if not item['OST']])
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subtitle_file = os.path.join(utils.task_dir("12312312"), "subtitle_multiple.srt")
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create_subtitle_from_multiple(full_text, sub_maker_list, data, subtitle_file)
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print(f"生成的音频文件列表: {audio_files}")
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print(f"生成的字幕文件: {subtitle_file}")
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# text = " ".join([item['narration'] for item in data])
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# sub_marks = tts(text=text, voice_name=voice_name, voice_rate=1, voice_file="../../storage/tasks/12312312/aaa.mp3")
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# create_subtitle(text=text, sub_maker=sub_marks, subtitle_file="../../storage/tasks/12312312/subtitle_123.srt")
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