How to use Python to connect to the cloud interface to implement video compression function

How to use Python to connect to the Youpai Cloud interface to implement video compression function

In recent years, with the popularity and popularity of online videos, the demand for video processing has also increased. Video compression is a common and important requirement. Youpaiyun is a well-known cloud storage and cloud processing platform that provides rich API interfaces to facilitate developers to manage and process resources. This article will introduce how to use Python to connect to the Youpai Cloud interface to implement video compression.

Environment preparation
First, you need to register an account on Youpaiyun official website and create a storage space. Then, install the Python development environment locally and install the Python SDK of Youpaiyun. Youpaiyun provides the Python SDK installation package, which can be installed through the pip command. Enter the following command in the terminal:

pip install upyun

Interface authorization
Before using the Youpai Cloud interface, you need to obtain an authorization code in order to operate resources. In the "Authorization Information" page on Youpaiyun's official website, you can create an operator and obtain the operator's username and password (OPERATOR_NAME and OPERATOR_PASSWORD respectively).

Video compression function

The following is a sample code that uses Python to connect to the Paiyun interface to implement the video compression function.

import upyun

# 设置又拍云的授权信息
OPERATOR_NAME = 'your_operator_name'
OPERATOR_PASSWORD = 'your_operator_password'
BUCKET_NAME = 'your_bucket_name'
PROCESS_API = 'https://api.upyun.com'

# 创建又拍云的实例对象
up = upyun.Upyun(bucket=BUCKET_NAME, username=OPERATOR_NAME, password=OPERATOR_PASSWORD, endpoint=PROCESS_API)

def compress_video(source_path, target_path, width, height):
    """
    压缩视频
    :param source_path: 待压缩的视频路径
    :param target_path: 压缩后的视频路径
    :param width: 压缩后的视频宽度
    :param height: 压缩后的视频高度
    :return: 压缩后的视频URL
    """
    # 构建压缩视频的处理参数
    opts = "/fwfh/{0}x{1}/as/0"
    opts = opts.format(width, height)

    # 调用又拍云的处理接口，压缩视频
    up.process(source_path, target_path, opts)

    # 返回压缩后的视频URL
    return up.url(target_path)

# 调用压缩视频函数进行测试
source_path = '/path/to/source/video.mp4'
target_path = '/path/to/target/compressed_video.mp4'
width = 640
height = 480
compressed_video_url = compress_video(source_path, target_path, width, height)

print("压缩后的视频URL：", compressed_video_url)

In the sample code, we first created an instance object of upyun and passed in the authorization information of Youpaiyun. Then, a compress_video function is defined, which receives the video path to be compressed, the compressed video path, the compressed video width and height, and then calls the processing interface of Youpaiyun to perform video compression and returns the compressed video URL. .

It should be noted that in order to facilitate testing, please change your_operator_name, your_operator_password, your_bucket_name, /path in the sample code Replace /to/source/video.mp4 and /path/to/target/compressed_video.mp4 with the actual operator name, password, storage space name, video path to be compressed and compressed video path.

Summary
This article introduces how to use Python to connect to the cloud interface to implement video compression. By calling the processing interface of Youpaiyun, you can easily compress the video. Using the Python development environment and Youpaiyun's Python SDK, you can flexibly apply the video compression function to your own projects. I hope this article is helpful to the video compression problems you encounter during development.

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