AWS lambda 一次将多个图像放入对象

Question

我正在尝试将源图像的大小调整为多个维度 + 扩展名。

例如：当我上传源图像时，比如说 abc.jpg，我需要使用 s3 事件触发器将其大小调整为 .jpg 和 .webp 的大小，例如abc_320.jpg、abc_320.webp、abc_640.jpg、abc_640.webp。因此，使用我当前的 python lambda 处理程序，我可以通过多次put_object调用目标存储桶来完成它，但我想让它更加优化，因为将来我的维度+扩展可能会增加。那么如何通过一次调用将所有调整大小的图像存储到目标存储桶？

当前的 Lambda 处理程序：

import json
import boto3
import os
from os import path
from io import BytesIO
from PIL import Image


# boto3 S3 initialization
s3_client = boto3.client("s3")


def lambda_handler(event, context):
    destination_bucket_name = 'destination-bucket'

    # event contains all information about uploaded object
    print("Event :", event)

    # Bucket Name where file was uploaded
    source_bucket_name = event['Records'][0]['s3']['bucket']['name']

    
    # Filename of object (with path)
    dest_bucket_perfix = 'resized'
    file_key_name = event['Records'][0]['s3']['object']['key']


    image_obj = s3_client.get_object(Bucket=source_bucket_name, Key=file_key_name)
    image_obj = image_obj.get('Body').read()
    img = Image.open(BytesIO(image_obj))

    dimensions = [320, 640]

    # Checking the extension and
    img_extension = path.splitext(file_key_name)[1].lower()
    extension_dict = {".jpg":"JPEG", ".png":"PNG", ".jpeg":"JPEG"}
    extensions = ["WebP"]
    if img_extension in extension_dict.keys():
        extensions.append(extension_dict[img_extension])
    print ("test-1")

    for dimension in dimensions:
        WIDTH = HEIGHT = dimension
        for extension in extensions:
            resized_img = img.resize((WIDTH, HEIGHT))
            buffer = BytesIO()
            resized_img.save(buffer, extension)
            buffer.seek(0)
           # I don't want to use this put_object in loop <<<---
            s3_client.put_object(Bucket=destination_bucket_name, Key=file_key_name.replace("upload", dest_bucket_perfix, 1), Body=buffer)

    return {
        'statusCode': 200,
        'body': json.dumps('Hello from S3 events Lambda!')
    }

你可以看到我需要调用put_object维度+扩展的每次迭代，这是代价高昂的。我也考虑过多线程和压缩解决方案，但正在寻找其他可能的想法/解决方案

Answer 1

Amazon S3 API 调用只允许每次调用上传一个对象。

但是，您可以修改多线程程序并并行上传对象。