AWS lambda一次放置对象多个图像

Question

我正在尝试将源图像调整为多个维度+扩展。

例如:当我上传一个源图像，比如abc.jpg，我需要调整它的。jpg和。webp的不同尺寸，如abc_320.jpg, abc_320。abc_640.jpg, abc_640.webp使用s3事件触发器。因此，使用我当前的python lambda处理程序，我可以使用多个put_object调用目标桶，但我想使其更加优化，因为将来我的维度+扩展可能会增加。那么我怎么能存储所有的调整大小的图像到目标桶与一个调用?

当前Lambda处理器:

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在每次迭代的维度+扩展，这是昂贵的。我也考虑过多线程和压缩解决方案，但寻找其他可能的想法/解决方案

Answer 1

Amazon S3 API调用只允许一个对象。

然而，你可以修改你的程序为多线程和并行上传对象.