mirror of
https://github.com/linyqh/NarratoAI.git
synced 2025-12-14 13:02:50 +00:00
2914cd924d
-重构了 start_subclip 函数，优化了视频剪辑流程 - 新增 clip_video 函数，用于裁剪视频片段 - 改进了字幕生成和处理逻辑- 优化了音频合并和处理 - 更新了任务状态管理
155 lines
5.1 KiB
Python
155 lines
5.1 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 : subtitle_merger
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@Author : viccy
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@Date : 2025/5/6 下午4:00
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'''
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import re
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import os
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from datetime import datetime, timedelta
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def parse_time(time_str):
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"""解析时间字符串为timedelta对象"""
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hours, minutes, seconds_ms = time_str.split(':')
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seconds, milliseconds = seconds_ms.split(',')
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td = timedelta(
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hours=int(hours),
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minutes=int(minutes),
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seconds=int(seconds),
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milliseconds=int(milliseconds)
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)
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return td
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def format_time(td):
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"""将timedelta对象格式化为SRT时间字符串"""
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total_seconds = int(td.total_seconds())
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hours = total_seconds // 3600
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minutes = (total_seconds % 3600) // 60
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seconds = total_seconds % 60
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milliseconds = td.microseconds // 1000
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return f"{hours:02d}:{minutes:02d}:{seconds:02d},{milliseconds:03d}"
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def extract_time_range_from_filename(filename):
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"""从文件名中提取时间范围"""
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pattern = r'subtitle_(\d{2})_(\d{2})_(\d{2})-(\d{2})_(\d{2})_(\d{2})'
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match = re.search(pattern, filename)
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if not match:
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return None, None
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start_h, start_m, start_s, end_h, end_m, end_s = map(int, match.groups())
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start_time = timedelta(hours=start_h, minutes=start_m, seconds=start_s)
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end_time = timedelta(hours=end_h, minutes=end_m, seconds=end_s)
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return start_time, end_time
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def merge_subtitle_files(subtitle_files, output_file=None):
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"""
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合并多个SRT字幕文件
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参数:
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subtitle_files: 包含SRT文件路径的列表
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output_file: 输出文件的路径，如果为None则自动生成
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返回:
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合并后的字幕文件路径
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"""
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# 按文件名中的开始时间排序
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sorted_files = sorted(subtitle_files,
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key=lambda x: extract_time_range_from_filename(x)[0])
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merged_subtitles = []
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subtitle_index = 1
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for file_path in sorted_files:
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# 从文件名获取起始时间偏移
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offset_time, _ = extract_time_range_from_filename(file_path)
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if offset_time is None:
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print(f"警告: 无法从文件名 {os.path.basename(file_path)} 中提取时间范围，跳过该文件")
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continue
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with open(file_path, 'r', encoding='utf-8') as file:
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content = file.read()
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# 解析字幕文件
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subtitle_blocks = re.split(r'\n\s*\n', content.strip())
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for block in subtitle_blocks:
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lines = block.strip().split('\n')
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if len(lines) < 3: # 确保块有足够的行数
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continue
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# 解析时间轴行
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time_line = lines[1]
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time_parts = time_line.split(' --> ')
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if len(time_parts) != 2:
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continue
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start_time = parse_time(time_parts[0])
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end_time = parse_time(time_parts[1])
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# 应用时间偏移
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adjusted_start_time = start_time + offset_time
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adjusted_end_time = end_time + offset_time
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# 重建字幕块
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adjusted_time_line = f"{format_time(adjusted_start_time)} --> {format_time(adjusted_end_time)}"
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text_lines = lines[2:]
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new_block = [
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str(subtitle_index),
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adjusted_time_line,
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*text_lines
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]
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merged_subtitles.append('\n'.join(new_block))
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subtitle_index += 1
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# 合并所有字幕块
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merged_content = '\n\n'.join(merged_subtitles)
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# 确定输出文件路径
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if output_file is None:
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# 自动生成输出文件名
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first_file_path = sorted_files[0]
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last_file_path = sorted_files[-1]
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_, first_end = extract_time_range_from_filename(first_file_path)
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_, last_end = extract_time_range_from_filename(last_file_path)
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dir_path = os.path.dirname(first_file_path)
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first_start_str = os.path.basename(first_file_path).split('-')[0].replace('subtitle_', '')
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last_end_h, last_end_m, last_end_s = int(last_end.seconds // 3600), int((last_end.seconds % 3600) // 60), int(last_end.seconds % 60)
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last_end_str = f"{last_end_h:02d}_{last_end_m:02d}_{last_end_s:02d}"
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output_file = os.path.join(dir_path, f"merged_subtitle_{first_start_str}-{last_end_str}.srt")
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# 写入合并后的内容
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with open(output_file, 'w', encoding='utf-8') as file:
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file.write(merged_content)
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return output_file
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if __name__ == '__main__':
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subtitle_files = [
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"/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_00_00-00_01_15.srt",
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"/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_01_15-00_04_40.srt",
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"/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_04_58-00_05_45.srt",
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"/Users/apple/Desktop/home/NarratoAI/storage/tasks/qyn2-2-demo/subtitle_00_05_45-00_06_00.srt",
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]
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output_file = merge_subtitle_files(subtitle_files)
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print(f"字幕文件已合并至: {output_file}")
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