Teach you step by step how to use Python to connect to Qiniu Cloud interface to achieve audio conversion and editing

Teach you step by step how to use Python to connect to the Qiniu Cloud interface to achieve audio conversion and editing

In the field of audio processing and conversion, Qiniu Cloud is a very powerful and convenient cloud service provider. By connecting to Qiniu Cloud's interface, we can easily implement audio format conversion, editing, compression and other operations. This article will teach you step by step how to use Python to write code, connect to Qiniu Cloud interface, and realize audio conversion and editing functions.

First, we need to create a storage space on Qiniu Cloud and upload the audio files to be processed in the storage space. Then, we need to install the corresponding Python library. Execute the following command in the terminal:

pip install qiniu
pip install requests

After the installation is complete, we can start writing code. First, we need to import the relevant libraries and configure the Access Key and Secret Key of Qiniu Cloud.

import qiniu
import requests

access_key = 'YOUR_ACCESS_KEY'
secret_key = 'YOUR_SECRET_KEY'

Next, we need to get the URL of the audio file on Qiniu Cloud. Assume that our storage space on Qiniu Cloud is named bucket_name and the file name is file_name.

bucket_name = 'YOUR_BUCKET_NAME'
file_name = 'YOUR_FILE_NAME'
url = 'http://{}.qiniudn.com/{}'.format(bucket_name, file_name)

Next, we can use Qiniu Cloud’s audio processing interface to implement audio conversion and editing functions. Specific interface documents can be found in the Qiniu Cloud official documentation. Here, we take converting audio as an example.

def convert_audio(url, format):
    pipeline = 'your_pipeline'
    fops = 'avthumb/{}'.format(format)
    save_as = qiniu.urlsafe_base64_encode('{}.{}'.format(file_name, format))
    persistent_ops = '{}|saveas/{}'.format(fops, save_as)
    notify_url = ''
    pfop = qiniu.PersistentFop(access_key, secret_key)
    ret, info = pfop.execute(bucket_name, file_name, persistent_ops, pipeline, notify_url)
    if ret['persistentId']:
        print('转换任务已提交，任务ID：{}'.format(ret['persistentId']))
    else:
        print('转换失败：{}'.format(info))

In the convert_audio method, we need to pass in the URL of the audio file on Qiniu Cloud and the format to be converted. pipeline is the name of the pipeline for Qiniu Cloud audio processing, which can be created in the Qiniu Cloud console. fops is the specific conversion operation. Here we use the avthumb command to convert the audio format. save_as is the saving path of the converted audio, using the saveas command of Qiniu Cloud. persistent_ops is the final audio processing instruction. The pfop.execute method is used to submit the conversion task, and the returned persistentId can be used to query the status of the conversion task.

Finally, we can call the convert_audio method in the main function and pass in the corresponding parameters.

if __name__ == '__main__':
    convert_audio(url, 'mp3')

In this article, we teach you step by step how to use Python to connect to the Qiniu Cloud interface to implement audio conversion and editing functions. Through Qiniu Cloud's powerful audio processing interface, we can easily implement audio format conversion, as well as more complex editing, compression and other operations. I hope this article can be helpful to your learning and application in audio processing.

import qiniu
import requests

access_key = 'YOUR_ACCESS_KEY'
secret_key = 'YOUR_SECRET_KEY'

bucket_name = 'YOUR_BUCKET_NAME'
file_name = 'YOUR_FILE_NAME'
url = 'http://{}.qiniudn.com/{}'.format(bucket_name, file_name)

def convert_audio(url, format):
    pipeline = 'your_pipeline'
    fops = 'avthumb/{}'.format(format)
    save_as = qiniu.urlsafe_base64_encode('{}.{}'.format(file_name, format))
    persistent_ops = '{}|saveas/{}'.format(fops, save_as)
    notify_url = ''
    pfop = qiniu.PersistentFop(access_key, secret_key)
    ret, info = pfop.execute(bucket_name, file_name, persistent_ops, pipeline, notify_url)
    if ret['persistentId']:
        print('转换任务已提交，任务ID：{}'.format(ret['persistentId']))
    else:
        print('转换失败：{}'.format(info))

if __name__ == '__main__':
    convert_audio(url, 'mp3')

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