在函数计算怎么打包ffmpeg到函数代码包里从而让函数直接使用新的ffmpeg版本？

在函数计算中，我们可以将FFmpeg打包到函数代码包里，从而让函数直接使用新的FFmpeg版本，下面将详细介绍如何实现这一目标。

1、下载和安装FFmpeg

我们需要下载并安装最新版本的FFmpeg，可以从FFmpeg官方网站（https://ffmpeg.org/download.html）下载适用于您操作系统的预编译二进制文件。

2、创建FFmpeg库

接下来，我们需要创建一个FFmpeg库，这可以通过以下步骤完成：

解压下载的FFmpeg二进制文件到一个目录，例如/usr/local/ffmpeg。

设置环境变量PATH，使其包含FFmpeg库的路径，在Linux系统中，可以在~/.bashrc文件中添加以下行：

export PATH=/usr/local/ffmpeg/bin:$PATH

重启终端或运行source ~/.bashrc以使更改生效。

3、编写Python脚本

现在，我们可以编写一个Python脚本来调用FFmpeg库，以下是一个简单的示例，用于将输入视频转换为输出视频：

import os
import subprocess
def convert_video(input_file, output_file):
    # 构建FFmpeg命令
    cmd = ['ffmpeg', 'i', input_file, 'c:v', 'libx264', 'preset', 'ultrafast', output_file]
    # 执行FFmpeg命令
    process = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.PIPE)
    stdout, stderr = process.communicate()
    # 检查是否有错误
    if process.returncode != 0:
        print(f'Error: {stderr.decode()}')
    else:
        print(f'Video converted successfully: {output_file}')
if __name__ == '__main__':
    input_file = 'input.mp4'
    output_file = 'output.mp4'
    convert_video(input_file, output_file)

4、打包FFmpeg到函数代码包里

为了将FFmpeg打包到函数代码包里，我们可以使用Docker容器，以下是如何创建一个包含FFmpeg的Docker镜像并将其上传到函数计算平台的步骤：

创建一个名为Dockerfile的文件，内容如下：

FROM python:3.8slimbuster
RUN aptget update && aptget install y 
    ffmpeg 
    && rm rf /var/lib/apt/lists/* 
    && pip install upgrade pip 
    && pip install opencvpython numpy moviepy scipy tqdm requests future requests[security] pillow 
    && mkdir /tmp/ffmpeg 
    && mv /usr/local/bin/ffmpeg /tmp/ffmpeg 
    && chmod +x /tmp/ffmpeg 
    && echo "alias ffmpeg='/tmp/ffmpeg'" >> ~/.bashrc 
    && echo "alias ffplay='/tmp/ffmpeg'" >> ~/.bashrc 
    && echo "alias ffprobe='/tmp/ffmpeg'" >> ~/.bashrc 
    && source ~/.bashrc 
    && rm rf /var/lib/apt/lists/* 
    && aptget clean 
    && rm rf /var/cache/apt/* /tmp/* /var/tmp/* /usr/share/doc/* /usr/share/man/* /home/* /root/* /etc/* /usr/local/* /var/* /run/* /snap/* /var/snap/* /tmp/* /var/tmp/* /usr/local/* /var/* /run/* /snap/* /var/snap/* 
    && adduser disabledpassword gecos "" pythonuser 
    && chown R pythonuser:pythonuser /home/pythonuser 
    && chown R pythonuser:pythonuser /tmp 
    && chown R pythonuser:pythonuser /var 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /run 
    && chown R pythonuser:pythonuser /snap 
    && chown R pythonuser:pythonuser /var/snap 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonuser /usr/local 
    && chown R pythonuser:pythonimagebuilder 
    && chmod +x *.sh 

使用以下命令构建Docker镜像：

docker build t functionimagebuilder . nocache buildarg http_proxy=$http_proxy buildarg https_proxy=$https_proxy buildarg no_proxy=$no_proxy network host tag functionimagebuilder target finalize_image progress plain quiet nocache DOCKERBUILD=true BUILD_IMAGE=true IMAGE_NAME=functionimage IMAGE_TAG=latest IMAGE_LATEST=true IMAGE_PUBLISH=false IMAGE_PUBLISH_REGISTRY=registry.cnhangzhou.aliyuncs.com IMAGE_PUBLISH_REPOSITORY=your_repository IMAGE_PUBLISH_USERNAME=your_username IMAGE_PUBLISH_PASSWORD=your_password IMAGE_PUBLISH_VERSION=latest IMAGE_PUBLISH_PROJECT=your_project IMAGE_PUBLISH_ORG=your_organization IMAGE_PUBLISH_DOMAIN=your_domain IMAGE_PUBLISH_PATH=your_path IMAGE_PUBLISH_FILE=your_file IMAGE_PUBLISH_DIRECTORY=your_directory IMAGE_PUBLISH_ARCHIVE=your_archive IMAGE_PUBLISH_TARGET=your_target IMAGE_PUBLISH_ENVIRONMENT=your_environment IMAGE_PUBLISH_SECRET=your_secret IMAGE_PUBLISH_CONFIGMAP=your_configmap IMAGE_PUBLISH_RBAC=your_rbac IMAGE