mirror of
https://github.com/linyqh/NarratoAI.git
synced 2025-12-13 12:12:50 +00:00
226 lines
9.6 KiB
Python
226 lines
9.6 KiB
Python
#!/usr/bin/env python
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# -*- coding: UTF-8 -*-
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'''
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@Project: NarratoAI
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@File : clip_video
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@Author : 小林同学
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@Date : 2025/5/6 下午6:14
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'''
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import os
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import subprocess
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import json
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import hashlib
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from loguru import logger
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from typing import Dict, List, Optional
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from pathlib import Path
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from app.utils import ffmpeg_utils
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def parse_timestamp(timestamp: str) -> tuple:
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"""
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解析时间戳字符串，返回开始和结束时间
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Args:
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timestamp: 格式为'HH:MM:SS-HH:MM:SS'或'HH:MM:SS,sss-HH:MM:SS,sss'的时间戳字符串
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Returns:
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tuple: (开始时间, 结束时间) 格式为'HH:MM:SS'或'HH:MM:SS,sss'
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"""
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start_time, end_time = timestamp.split('-')
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return start_time, end_time
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def calculate_end_time(start_time: str, duration: float, extra_seconds: float = 1.0) -> str:
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"""
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根据开始时间和持续时间计算结束时间
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Args:
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start_time: 开始时间，格式为'HH:MM:SS'或'HH:MM:SS,sss'(带毫秒)
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duration: 持续时间，单位为秒
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extra_seconds: 额外添加的秒数，默认为1秒
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Returns:
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str: 计算后的结束时间，格式与输入格式相同
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"""
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# 检查是否包含毫秒
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has_milliseconds = ',' in start_time
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milliseconds = 0
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if has_milliseconds:
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time_part, ms_part = start_time.split(',')
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h, m, s = map(int, time_part.split(':'))
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milliseconds = int(ms_part)
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else:
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h, m, s = map(int, start_time.split(':'))
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# 转换为总毫秒数
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total_milliseconds = ((h * 3600 + m * 60 + s) * 1000 + milliseconds +
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int((duration + extra_seconds) * 1000))
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# 计算新的时、分、秒、毫秒
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ms_new = total_milliseconds % 1000
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total_seconds = total_milliseconds // 1000
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h_new = int(total_seconds // 3600)
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m_new = int((total_seconds % 3600) // 60)
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s_new = int(total_seconds % 60)
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# 返回与输入格式一致的时间字符串
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if has_milliseconds:
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return f"{h_new:02d}:{m_new:02d}:{s_new:02d},{ms_new:03d}"
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else:
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return f"{h_new:02d}:{m_new:02d}:{s_new:02d}"
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def check_hardware_acceleration() -> Optional[str]:
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"""
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检查系统支持的硬件加速选项
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Returns:
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Optional[str]: 硬件加速参数，如果不支持则返回None
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"""
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# 使用集中式硬件加速检测
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return ffmpeg_utils.get_ffmpeg_hwaccel_type()
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def clip_video(
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video_origin_path: str,
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tts_result: List[Dict],
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output_dir: Optional[str] = None,
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task_id: Optional[str] = None
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) -> Dict[str, str]:
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"""
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根据时间戳裁剪视频
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Args:
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video_origin_path: 原始视频的路径
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tts_result: 包含时间戳和持续时间信息的列表
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output_dir: 输出目录路径，默认为None时会自动生成
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task_id: 任务ID，用于生成唯一的输出目录，默认为None时会自动生成
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Returns:
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Dict[str, str]: 时间戳到裁剪后视频路径的映射
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"""
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# 检查视频文件是否存在
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if not os.path.exists(video_origin_path):
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raise FileNotFoundError(f"视频文件不存在: {video_origin_path}")
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# 如果未提供task_id，则根据输入生成一个唯一ID
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if task_id is None:
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content_for_hash = f"{video_origin_path}_{json.dumps(tts_result)}"
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task_id = hashlib.md5(content_for_hash.encode()).hexdigest()
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# 设置输出目录
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if output_dir is None:
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output_dir = os.path.join(
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os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__)))),
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"storage", "temp", "clip_video", task_id
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)
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# 确保输出目录存在
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Path(output_dir).mkdir(parents=True, exist_ok=True)
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# 获取硬件加速支持
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hwaccel = check_hardware_acceleration()
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hwaccel_args = []
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if hwaccel:
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hwaccel_args = ffmpeg_utils.get_ffmpeg_hwaccel_args()
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# 存储裁剪结果
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result = {}
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for item in tts_result:
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_id = item.get("_id", item.get("timestamp", "unknown"))
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timestamp = item["timestamp"]
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start_time, _ = parse_timestamp(timestamp)
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# 根据持续时间计算真正的结束时间（加上1秒余量）
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duration = item["duration"]
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calculated_end_time = calculate_end_time(start_time, duration)
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# 转换为FFmpeg兼容的时间格式（逗号替换为点）
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ffmpeg_start_time = start_time.replace(',', '.')
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ffmpeg_end_time = calculated_end_time.replace(',', '.')
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# 格式化输出文件名（使用连字符替代冒号和逗号）
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safe_start_time = start_time.replace(':', '-').replace(',', '-')
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safe_end_time = calculated_end_time.replace(':', '-').replace(',', '-')
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output_filename = f"vid_{safe_start_time}@{safe_end_time}.mp4"
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output_path = os.path.join(output_dir, output_filename)
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# 构建FFmpeg命令
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ffmpeg_cmd = [
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"ffmpeg", "-y", *hwaccel_args,
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"-i", video_origin_path,
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"-ss", ffmpeg_start_time,
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"-to", ffmpeg_end_time,
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"-c:v", "h264_videotoolbox" if hwaccel == "videotoolbox" else "libx264",
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"-c:a", "aac",
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"-strict", "experimental",
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output_path
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]
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# 执行FFmpeg命令
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try:
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logger.info(f"裁剪视频片段: {timestamp} -> {ffmpeg_start_time}到{ffmpeg_end_time}")
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# logger.debug(f"执行命令: {' '.join(ffmpeg_cmd)}")
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process = subprocess.run(
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ffmpeg_cmd,
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stdout=subprocess.PIPE,
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stderr=subprocess.PIPE,
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text=True,
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check=True
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)
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result[_id] = output_path
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except subprocess.CalledProcessError as e:
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logger.error(f"裁剪视频片段失败: {timestamp}")
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logger.error(f"错误信息: {e.stderr}")
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raise RuntimeError(f"视频裁剪失败: {e.stderr}")
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return result
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if __name__ == "__main__":
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video_origin_path = "/Users/apple/Desktop/home/NarratoAI/resource/videos/qyn2-2无片头片尾.mp4"
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tts_result = [{'timestamp': '00:00:00-00:01:15',
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'audio_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/audio_00_00_00-00_01_15.mp3',
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'subtitle_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_00_00-00_01_15.srt',
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'duration': 25.55,
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'text': '好的各位，欢迎回到我的频道！《庆余年 2》刚开播就给了我们一个王炸！范闲在北齐"死"了？这怎么可能！上集片尾那个巨大的悬念，这一集就立刻揭晓了！范闲假死归来，他面临的第一个，也是最大的难关，就是如何面对他最敬爱的，同时也是最可怕的那个人——庆帝！'},
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{'timestamp': '00:01:15-00:04:40',
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'audio_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/audio_00_01_15-00_04_40.mp3',
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'subtitle_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_01_15-00_04_40.srt',
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'duration': 13.488,
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'text': '但我们都知道，他绝不可能就这么轻易退场！第二集一开场，范闲就已经秘密回到了京都。他的生死传闻，可不像我们想象中那样只是小范围流传，而是…'},
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{'timestamp': '00:04:58-00:05:45',
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'audio_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/audio_00_04_58-00_05_45.mp3',
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'subtitle_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_04_58-00_05_45.srt',
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'duration': 21.363,
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'text': '"欺君之罪"！在封建王朝，这可是抄家灭族的大罪！搁一般人，肯定脚底抹油溜之大吉了。但范闲是谁啊？他偏要反其道而行之！他竟然决定，直接去见庆帝！冒着天大的风险，用"假死"这个事实去赌庆帝的态度！'},
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{'timestamp': '00:05:45-00:06:00',
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'audio_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/audio_00_05_45-00_06_00.mp3',
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'subtitle_file': '/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_05_45-00_06_00.srt',
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'duration': 7.675, 'text': '但想见庆帝，哪有那么容易？范闲艺高人胆大，竟然选择了最激进的方式——闯宫！'}]
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subclip_path_videos = {
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'00:00:00-00:01:15': '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/6e7e343c7592c7d6f9a9636b55000f23/vid-00-00-00-00-01-15.mp4',
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'00:01:15-00:04:40': '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/6e7e343c7592c7d6f9a9636b55000f23/vid-00-01-15-00-04-40.mp4',
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'00:04:41-00:04:58': '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/6e7e343c7592c7d6f9a9636b55000f23/vid-00-04-41-00-04-58.mp4',
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'00:04:58-00:05:45': '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/6e7e343c7592c7d6f9a9636b55000f23/vid-00-04-58-00-05-45.mp4',
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'00:05:45-00:06:00': '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/6e7e343c7592c7d6f9a9636b55000f23/vid-00-05-45-00-06-00.mp4',
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'00:06:00-00:06:03': '/Users/apple/Desktop/home/NarratoAI/storage/temp/clip_video/6e7e343c7592c7d6f9a9636b55000f23/vid-00-06-00-00-06-03.mp4',
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}
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# 使用方法示例
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try:
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result = clip_video(video_origin_path, tts_result, subclip_path_videos)
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print("裁剪结果:")
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print(json.dumps(result, indent=4, ensure_ascii=False))
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except Exception as e:
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print(f"发生错误: {e}")
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