Learn Python to implement Qiniu Cloud interface docking and image size adjustment

Learn Python to implement Qiniu Cloud interface docking and image size adjustment

Introduction:
With the rapid development of the digital age, pictures have become an indispensable part of people's lives. In application and website development, it often involves processing and adjusting images. As a professional cloud storage and content distribution platform, Qiniu Cloud provides developers with a wealth of interfaces and tools to manage and process images. This article will introduce how to use Python language to adjust the image size through the API interface of Qiniu Cloud.

1. Register a Qiniu Cloud account and obtain an API key
First, we need to register a Qiniu Cloud account and obtain an API key. Log in to the Qiniu Cloud official website (https://www.qiniu.com/) and register an account. After successful registration, enter the personal center and click "Key Management" on the left menu bar. Here you can find the Access Key and Secret Key we need.

2. Install dependency packages
Before starting to write code, we need to install some Python dependency packages to adjust the image size. Open the command line terminal and execute the following command:

pip install qiniu
pip install PIL

3. Code implementation
Next, we can write Python code to adjust the image size. The following is a sample code:

import qiniu
from qiniu import Auth, put_data, etag
from PIL import Image

# 配置七牛云的Access Key和Secret Key
access_key = 'your-access-key'
secret_key = 'your-secret-key'

# 初始化Auth对象
q = Auth(access_key, secret_key)

# 要上传的空间名和域名
bucket_name = 'your-bucket-name'
bucket_domain = 'your-bucket-domain'

# 要调整的目标尺寸
target_width = 500
target_height = 500

def resize_image(image_path):
    # 打开原始图片
    image = Image.open(image_path)
    
    # 调整尺寸
    image.thumbnail((target_width, target_height))
    
    # 保存调整后的图片
    image.save(image_path)
    
    # 生成上传凭证
    token = q.upload_token(bucket_name)
    
    # 上传图片
    ret, info = put_data(token, image_path)
    
    # 打印上传结果
    print(ret)

if __name__ == '__main__':
    # 调用函数进行图片尺寸调整和上传
    resize_image('your-image-path')

In the code, we first configured the Access Key and Secret Key of Qiniu Cloud. Then, define the space name and domain name to be uploaded. Next, we implement the image size adjustment and upload operations by calling the resize_image function. Inside the function, we use the PIL library to open the original image, resize it, and save the resized image. Then, we generate the upload credentials and call Qiniu Cloud’s put_data function to upload the image. Finally, print the upload results.

4. Running and testing
Before actually running the code, you need to change the your-access-key, your-secret-key, # in the code. Replace relevant parameters such as ##your-bucket-name and your-bucket-domain with your own information. Also, replace your-image-path with the path of the image you want to resize.

After saving and running the code, you will see that the adjusted image is successfully uploaded to Qiniu Cloud, and you can see the uploaded image and corresponding size information on the Qiniu Cloud management interface.

Summary:

This article introduces how to use the Python programming language to adjust the image size through the API interface of Qiniu Cloud. Register a Qiniu Cloud account and obtain an API key, install the necessary Python dependency packages, and then write code to adjust the image size and upload it. Through studying this article, I believe readers will have a deeper understanding of using Python to implement Qiniu Cloud interface docking and image size adjustment.

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