Python を学習して Qiniu Cloud インターフェースのドッキングと画像変換機能を実装する

import requests

access_key = 'your_access_key'  # 七牛云的AccessKey
secret_key = 'your_secret_key'  # 七牛云的SecretKey
bucket_name = 'your_bucket_name'  # 存储空间名称

def get_upload_token(access_key, secret_key, bucket_name):
    url = 'http://api.qiniu.com/put-policy/{}/put-policy'.format(bucket_name)
    auth = requests.auth.HTTPBasicAuth(access_key, secret_key)
    response = requests.get(url, auth=auth)
    result = response.json()
    if 'token' in result:
        return result['token']
    else:
        raise ValueError('Failed to get upload token.')

upload_token = get_upload_token(access_key, secret_key, bucket_name)

def upload_image(file_path, upload_token):
    url = 'http://upload.qiniu.com/'
    headers = {
        'Content-Type': 'multipart/form-data',
    }
    files = {'file': open(file_path, 'rb')}
    data = {'token': upload_token}
    response = requests.post(url, headers=headers, files=files, data=data)
    result = response.json()
    if 'key' in result:
        return result['key']
    else:
        raise ValueError('Failed to upload image.')

image_path = 'your_image_path'  # 待上传的图片文件路径
image_key = upload_image(image_path, upload_token)

def image_tranformation(image_key, new_image_key, width, height, format):
    url = 'http://api.qiniu.com/image/v2/{}'.format(image_key)
    headers = {
        'Content-Type': 'application/x-www-form-urlencoded',
    }
    params = {
        'imageView2': '/{}.w_{}/h_{}/format/{}'.format(new_image_key, width, height, format),
    }
    response = requests.get(url, headers=headers, params=params)
    with open(new_image_key, 'wb') as f:
        f.write(response.content)

new_image_key = 'your_new_image_key'  # 新生成的图片文件key
width = 500  # 新图片的宽度
height = 500  # 新图片的高度
format = 'jpg'  # 新图片的格式
image_tranformation(image_key, new_image_key, width, height, format)