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のトリミングと結合を実装する

pip install qiniu

import qiniu
import requests
from PIL import Image

access_key = 'Your Access Key'
secret_key = 'Your Secret Key'
bucket_name = 'Your Bucket Name'

auth = qiniu.Auth(access_key, secret_key)

def upload_image(filepath):
    token = auth.upload_token(bucket_name)
    ret, info = qiniu.put_file(token, None, filepath)
    if ret is not None and ret['key'] is not None:
        return f"https://{bucket_name}.qiniudn.com/{ret['key']}"
    else:
        return None

def crop_image(image_url, x, y, width, height):
    response = requests.get(image_url)
    image = Image.open(BytesIO(response.content))
    cropped_image = image.crop((x, y, x+width, y+height))
    cropped_image_url = f"{image_url}-cropped"
    cropped_image.save("cropped.jpg")
    cropped_image_url = upload_image("cropped.jpg")
    return cropped_image_url

def merge_images(image_url1, image_url2):
    response1 = requests.get(image_url1)
    response2 = requests.get(image_url2)
    image1 = Image.open(BytesIO(response1.content))
    image2 = Image.open(BytesIO(response2.content))
    merged_image = Image.new('RGB', (image1.width + image2.width, max(image1.height, image2.height)))
    merged_image.paste(image1, (0, 0))
    merged_image.paste(image2, (image1.width, 0))
    merged_image_url = f"{image_url1}-merged"
    merged_image.save("merged.jpg")
    merged_image_url = upload_image("merged.jpg")
    return merged_image_url

if __name__ == '__main__':
    image_url1 = upload_image("image1.jpg")
    image_url2 = upload_image("image2.jpg")
    cropped_image_url = crop_image(image_url1, 100, 100, 200, 200)
    merged_image_url = merge_images(cropped_image_url, image_url2)
    print("Cropped image url:", cropped_image_url)
    print("Merged image url:", merged_image_url)