Home Backend Development Python Tutorial Teach you step by step how to use Python to connect to Qiniu Cloud interface to achieve audio merging

Teach you step by step how to use Python to connect to Qiniu Cloud interface to achieve audio merging

Jul 07, 2023 pm 08:40 PM
python Qiniuyun audio merge

Teach you step by step how to use Python to interface with Qiniu Cloud interface to achieve audio merging

Introduction:
In the process of audio processing, sometimes we need to merge multiple audio files into one file. For developers, they can use the Python language to implement the audio merging function by connecting to the Qiniu Cloud interface. This article will introduce in detail how to use Python to connect to the Qiniu Cloud interface to achieve audio merging.

Step 1: Install dependent libraries
Before using Python to connect to Qiniu Cloud interface, we need to install the corresponding dependent libraries first. Open a terminal or command line interface and enter the following command to install the required libraries:

pip install qiniu
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Step 2: Import dependent libraries
After installing the required dependent libraries, we need to introduce them into the Python code. Create a new Python file, name it qiniu_audio_merge.py, and add the following code at the beginning of the file:

import qiniu
from qiniu import Auth, put_file, etag, put_data
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Step 3: Set Qiniu Cloud related parameters
Continue to add the following code to the qiniu_audio_merge.py file, Set the relevant parameters of Qiniu Cloud:

access_key = 'your_access_key'
secret_key = 'your_secret_key'
bucket_name = 'your_bucket_name'
domain = 'http://your_domain.com'
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Note: The above parameters need to be replaced with real keys and bucket names, and the domain name needs to be replaced with the domain name of your own Qiniu Cloud storage space.

Step 4: Define the audio merging function
Add the following code in the qiniu_audio_merge.py file to define a function for merging audio:

def audio_merge(key_list, merged_key):
    auth = Auth(access_key, secret_key)
    bucket = BucketManager(auth)
    fops = "vframe/jpg/offset/0/w/480/h/360"
    saveas_key = qiniu.urlsafe_base64_encode(bucket_name + ":" + merged_key)
    fops = fops + "|saveas/" + saveas_key
    pipeline = "your_pipeline_name"
    notify_url = ""
    force = False
    options = {}
    ret, info = bucket.prefop(pipeline, key_list, fops, notify_url, force, options)
    if info.status_code == 200:
        print('合并成功')
    else:
        print('合并失败')
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Note: The pipeline, notify_url and Parameters such as force can be set according to actual needs.

Step 5: Call the audio merging function
Add the following code in the qiniu_audio_merge.py file to call the audio merging function:

if __name__ == '__main__':
    key_list = ['audio1.mp3', 'audio2.mp3', 'audio3.mp3']
    merged_key = 'merged_audio.mp3'
    audio_merge(key_list, merged_key)
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Note: The key_list in the above code is the audio file to be merged The key list, merged_key is the key of the merged audio file.

Step 6: Run the code
Enter the folder where qiniu_audio_merge.py is located in the terminal or command line interface, enter the following command to run the code:

python qiniu_audio_merge.py
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If everything is normal, it will be displayed in the terminal or command line interface You will see a successful merge prompt in the command line interface.

Summary:
This article introduces in detail how to use Python to connect to the Qiniu Cloud interface to implement the audio merging function. By following the steps step by step, we can easily use Python to connect to the Qiniu Cloud interface to achieve audio merging. Hope this article is helpful to you!

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