Teach you how to use Python to connect to Huawei Cloud interface to implement video conversion function

Teach you how to use Python to connect to the Huawei Cloud interface to implement the video conversion function

Huawei Cloud is a leading cloud service provider that provides a wealth of cloud computing products and services. During the development process, we often need to integrate with various cloud services to achieve more powerful functions. This article will introduce how to use Python to connect to Huawei Cloud interface to implement video conversion function.

First, we need to create an account on Huawei Cloud and create a video conversion service instance. For specific operations, please refer to Huawei Cloud official documentation. After creation, we will get some necessary parameters, including account information, service instance ID, network configuration, etc. These parameters will be used in subsequent connection operations.

Next, we need to install some Python dependent libraries. Run the following commands in the terminal:

pip install -U obspy
pip install -U huaweicloud-sdk-python

The above commands will install Huawei Cloud SDK and OBS Python SDK respectively.

Before starting to write code, we first need to initialize a Huawei Cloud configuration. The specific method is as follows:

import os
import json
from openstack import connection

def init_huaweicloud():
    ak = 'your_access_key'
    sk = 'your_secret_key'
    project_id = 'your_project_id'
    region = 'your_region'

    return connection.Connection(
        ak, sk,
        project_id=project_id,
        region=region,
        app_name='video-convert'
    )

if __name__ == '__main__':
    conn = init_huaweicloud()
    print(conn)

In the above code, we initialize a Huawei Cloud connection object by running the init_huaweicloud() function and assign it to the variable conn. Among them, ak represents your Huawei Cloud Access Key, sk represents your Huawei Cloud Secret Key, project_id represents your Huawei Cloud project ID, region indicates the Huawei Cloud region you want to operate.

Next, we need to write a function to implement the video conversion function. The specific code is as follows:

def video_convert(conn, bucket_name, video_path, output_path):
    # 创建Bucket
    conn.create_bucket(bucket=bucket_name)

    # 上传视频文件
    bucket = conn.get_bucket(bucket=bucket_name)
    bucket.create_object_from_file(video_path)

    # 转换视频
    job = {
        "input": {
            "bucket": bucket_name,
            "location": conn.config.region,
            "object": os.path.basename(video_path)
        },
        "output_bucket": bucket_name,
        "output_directory": os.path.dirname(output_path),
        "outputs": [
            {
                "type": "mp4",
                "parameters": {
                    "format": "mp4",
                    "resolution": "640x480",
                    "bitrate": "800k"
                }
            }
        ]
    }

    conn.css.create_job(job)

In the above code, we implement the video conversion function by calling the Huawei Cloud interface. Among them, bucket_name represents the name of the Bucket you created on Huawei Cloud, video_path represents the path of the video file to be converted, and output_path represents the path to save the converted video file. .

Finally, we can write a simple test function to demonstrate how to use the above code. The specific code is as follows:

if __name__ == '__main__':
    conn = init_huaweicloud()
    bucket_name = 'video-convert-bucket'
    video_path = '/path/to/your/video.mp4'
    output_path = '/path/to/your/converted_video.mp4'
    video_convert(conn, bucket_name, video_path, output_path)

In the above code, we first initialized the Huawei Cloud connection object, then specified the Bucket name, video file path and converted video file saving path, and finally called video_convert() function to perform video conversion.

Through the above steps, we can connect to the Huawei Cloud interface in Python and implement the video conversion function. Hope this article is helpful to you!

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