Home Backend Development Python Tutorial Teach you how to use Python to connect to Huawei Cloud interface to implement video editing and transcoding functions

Teach you how to use Python to connect to Huawei Cloud interface to implement video editing and transcoding functions

Jul 05, 2023 pm 11:33 PM
python video clip connect

Teach you how to use Python to connect to the Huawei Cloud interface to implement video editing and transcoding functions

Huawei Cloud is a world-leading cloud service provider that provides a wealth of cloud computing products and services. In terms of cloud video processing, Huawei Cloud provides powerful video editing and transcoding functions, providing developers with a very convenient interface. This article will introduce how to use Python to connect to Huawei Cloud interface to implement video editing and transcoding functions.

First, we need to create a video editing and transcoding task on Huawei Cloud. In the Huawei Cloud Console, select "Video Service" - "Video Editing and Transcoding", and then click the "Create Task" button. In the task creation page, you can upload video files and set editing and transcoding parameters. After creating a task, Huawei Cloud will generate a task ID for the task, which will be used for subsequent interface calls.

Next, we need to install the Python SDK to connect to the video processing interface of Huawei Cloud. Execute the following command on the command line to install the Python SDK:

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pip install huaweicloud-sdk-python

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After the installation is complete, we can use the following code example to connect to the Huawei Cloud interface and implement video editing and transcoding functions.

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from huaweicloudsdkcore.auth.credentials import BasicCredentials

from huaweicloudsdkcore.http.http_config import HttpConfig

from huaweicloudsdkcore.exceptions.exceptions import SdkException

from huaweicloudsdkvideo.apis.v1.projects_api import ProjectsApi

 

def video_editing_and_transcoding(access_key, secret_key, region, project_id, task_id):

    # 创建华为云的认证凭据

    credentials = BasicCredentials(access_key, secret_key)

 

    try:

        # 创建视频服务的API对象

        projects_api = ProjectsApi.new_builder()

            .with_http_config(HttpConfig.new_builder().with_timeout(120).build())

            .with_credentials(credentials)

            .with_region(region)

            .build()

 

        # 查询任务状态

        response = projects_api.list_tasks(project_id=project_id, task_id=task_id)

        if response.status_code == 200:

            task_status = response.body.status

            if task_status == 'FINISHED':

                # 下载转码后的视频文件

                download_url = response.body.output.outputs[0].destination

                print('任务已完成,下载链接:', download_url)

            else:

                print('任务正在处理中,请稍后再试')

        else:

            print('查询任务状态失败')

 

    except SdkException as e:

        print('SDK异常:', e.message)

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In the above code, we first created the Huawei Cloud authentication credentials and created the API object of the video service based on the credentials. Then, we query the status of the specified task by calling the projects_api.list_tasks interface. If the task has been completed, we can obtain the download link of the transcoded video file through response.body.output.outputs[0].destination. Finally, we implemented the video editing and transcoding functions by printing the download link.

Next, we can use the following code to call the video_editing_and_transcoding function to implement the video editing and transcoding functions.

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if __name__ == '__main__':

    access_key = 'your_access_key'

    secret_key = 'your_secret_key'

    region = 'cn-north-1'

    project_id = 'your_project_id'

    task_id = 'your_task_id'

 

    video_editing_and_transcoding(access_key, secret_key, region, project_id, task_id)

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In the above code, we need to replace access_key, secret_key, region, project_id and task_id is the information related to your Huawei Cloud account. Run the above code to realize the video editing and transcoding functions, and print out the download link of the transcoded video file.

This article introduces how to use Python to connect to Huawei Cloud interface to implement video editing and transcoding functions. By calling the video processing API provided by Huawei Cloud, we can implement rich video processing functions, providing developers with more possibilities. I hope this article can be helpful to you, and I wish you success in using Huawei Cloud's video editing and transcoding functions!

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