下载 M3U8 视频：揭秘 Python 多进程的高效方法

2023-09-05 02:24:08

使用 Python 多进程高效下载 M3U8 视频

解析 M3U8 文件

M3U8（MPEG-DASH 媒体播放列表文件）存储着视频的基本信息和分片构成。使用 requests 库解析 M3U8 文件，提取每个分片的持续时间和 URL。

def parse_m3u8(m3u8_url):
    response = requests.get(m3u8_url)
    m3u8_content = response.text
    lines = m3u8_content.split("\n")
    video_segments = []
    for line in lines:
        if line.startswith("#EXTINF"):
            segment_duration = float(line.split(",")[1])
        elif line.startswith("http"):
            video_segments.append((segment_duration, line))
    return video_segments

使用多进程下载分片

ThreadPoolExecutor 创建一个线程池，允许多个进程同时下载分片。tqdm 库显示下载进度。

def download_segment(segment):
    segment_duration, segment_url = segment
    response = requests.get(segment_url)
    segment_content = response.content
    with open(f"segment_{segment_duration}.ts", "wb") as f:
        f.write(segment_content)

def download_segments(video_segments):
    with ThreadPoolExecutor() as executor:
        executor.map(download_segment, video_segments)

合并分片

下载完分片后，将其合并成一个完整的视频文件。

import moviepy.editor as mpe

def merge_segments():
    video_clips = []
    for segment in video_segments:
        segment_duration, segment_url = segment
        video_clips.append(mpe.VideoFileClip(f"segment_{segment_duration}.ts"))
    final_video = mpe.concatenate_videoclips(video_clips)
    final_video.write_videofile("merged_video.mp4")

完整代码

if __name__ == "__main__":
    m3u8_url = "https://example.com/video.m3u8"
    video_segments = parse_m3u8(m3u8_url)
    download_segments(video_segments)
    merge_segments()