How to use Python to connect to the cloud interface to implement video cropping and merging functions

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Release: 2023-07-09 23:01:46
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How to use Python to interface with Youpaiyun interface to implement video cropping and merging functions

Youpaiyun is a powerful cloud storage and content distribution platform that provides a variety of interfaces for developers to use. This article will introduce how to use the Python programming language to connect to the Youpai Cloud interface to realize the functions of video cropping and merging.

First, you need to create an account on Youpai Cloud platform and create a storage space to store video files. Then, get the API key and storage name, these will be used in the code.

The following is a Python code example that demonstrates how to use Python to connect to the Youpai Cloud interface to implement video cropping and merging functions. Please make sure you have installed the Python requests library.

import requests
import hashlib
import time

# 替换为你的API密钥和存储空间名
operator = 'your_operator'
password = 'your_password'
bucket = 'your_bucket_name'

# 获取当前时间戳
timestamp = int(time.time())

# 构造签名字符串
sign_string = '{0}&{1}&{2}'.format(operator, password, timestamp)

# 计算签名
md5 = hashlib.md5()
md5.update(sign_string.encode('utf-8'))
signature = md5.hexdigest()

# 发起视频裁剪任务
def crop_video(filename, start, end):
    # 请求URL
    url = 'http://v0.api.upyun.com/{0}/transcoding/'.format(bucket)

    # 构造请求参数
    params = {
        'source': filename,
        'start': start,
        'end': end,
        'notify_url': 'http://your_notify_url',
        'signature': signature,
        'timestamp': timestamp
    }

    # 发起POST请求
    response = requests.post(url, data=params)

    # 获取响应结果
    result = response.json()
    return result

# 发起视频合并任务
def merge_videos(filenames, save_as):
    # 请求URL
    url = 'http://v0.api.upyun.com/{0}/merge/'.format(bucket)

    # 构造请求参数
    params = {
        'files': ';'.join(filenames),
        'save_as': save_as,
        'signature': signature,
        'timestamp': timestamp
    }

    # 发起POST请求
    response = requests.post(url, data=params)

    # 获取响应结果
    result = response.json()
    return result

# 调用视频裁剪接口示例
crop_result = crop_video('origin_video.mp4', 10, 20)
print(crop_result)

# 调用视频合并接口示例
merge_result = merge_videos(['video1.mp4', 'video2.mp4', 'video3.mp4'], 'merged_video.mp4')
print(merge_result)
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In the above code example, the crop_video function is used to initiate the video cropping task, the parameter filename is the name of the video file to be cropped, start and end are the start time and end time of cropping. The merge_videos function is used to initiate a video merging task. The parameter filenames is the list of video file names to be merged, and save_as is the file name to be saved after merging.

Using the above code example, you can easily connect to the Youpai Cloud interface in Python to realize the functions of video cropping and merging. Remember to replace the relevant parameters in the code with your own API key and storage space name. Through Youpaiyun's interface, you can better manage and process video files, adding more functionality and flexibility to your applications.

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