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

WBOY
Release: 2023-07-05 13:33:06
Original
717 people have browsed it

How to use Python to connect to Youpaiyun interface to implement video interception function

Youpaiyun is a high-performance cloud storage platform that provides a rich interface that can upload and transcode images and videos. , editing and other functions. This article will introduce how to use Python to connect to the Youpai Cloud interface and implement the video interception function.

1. Install dependent libraries

First, we need to install Python’s dependent libraries. Use the following command to install the required libraries:

pip install requests
pip install datetime
Copy after login

2. Obtain Youpai Cloud API authorization

Before using Youpai Cloud interface, we need to obtain API authorization to obtain access to Youpai Cloud Permissions for cloud resources. Register an account on Youpaiyun's official website, create a service, and obtain the service's operator name (Operator) and password (Password).

3. Write code

The following is a sample code that uses Python to implement the video interception function:

import requests
import datetime

def get_signature(params, password):
    signature = ""
    for key in sorted(params.keys()):
        value = params[key]
        signature += key + str(value)
    signature += password
    return signature

def cut_video(file_url, offset, duration):
    service = "your_service_name"
    operator = "your_operator_name"
    password = "your_password"
    bucket = "your_bucket_name"
    saveas = "/path/to/saveas.jpg"

    params = {
        "service": service,
        "bucket": bucket,
        "notify_url": "",
        "saveas": saveas,
        "expiration": int(datetime.datetime.now().timestamp()) + 3600,
        "offset": offset,
        "duration": duration,
    }

    signature = get_signature(params, password)

    headers = {
        "Authorization": "UPYUN " + operator + ":" + signature,
    }

    response = requests.post(file_url, headers=headers, data=params)

    return response

if __name__ == "__main__":
    file_url = "your_file_url"
    offset = 5
    duration = 10
    
    response = cut_video(file_url, offset, duration)
    print(response.text)
Copy after login

In this code, we first define a file named# The function of ##get_signature is used to generate the signature required by the Youpai Cloud interface. Then the cut_video function is defined, which accepts three parameters, namely the URL of the video, the starting time of the interception, and the duration of the interception. Inside the function, we need to fill in the Youpai cloud service, operator, password, space name, save path and other information into the corresponding variables in the code.

In the

cut_video function, we first define a params dictionary containing all request parameters. Then use the get_signature function to generate a signature and add the signature to the request header. Finally, we use the requests.post method to send a POST request, passing the video URL, interception start time, and interception duration as parameters to the Youpai Cloud interface. The interface will return the intercepted video image and print the result.

4. Run the code

Save the above code as a Python file, and then modify

your_service_name, your_operator_name, your_password in the file The values ​​of variables such as , your_bucket_name, /path/to/saveas.jpg, and your_file_url. Then run the code to intercept the video and save the intercepted picture.

Summary

This article introduces how to use Python to connect to the cloud interface to realize the video interception function. By calling the interface provided by Youpaiyun, we can easily edit and transcode videos. Hope this article is helpful to you.

The above is the detailed content of How to use Python to connect to the cloud interface to implement video interception function. For more information, please follow other related articles on the PHP Chinese website!

source:php.cn
Statement of this Website
The content of this article is voluntarily contributed by netizens, and the copyright belongs to the original author. This site does not assume corresponding legal responsibility. If you find any content suspected of plagiarism or infringement, please contact admin@php.cn
Popular Tutorials
More>
Latest Downloads
More>
Web Effects
Website Source Code
Website Materials
Front End Template