Question

我使用Amazon boto v2.38编写python脚本来访问我的S3存储桶。

我想更新我的存储桶中的文件（我知道它在S3中称为“密钥”）。路径为<TreeView x:Name="tvMain" Grid.Row="2"> <TreeView.ItemTemplate> <HierarchicalDataTemplate ItemsSource="{Binding rsParentChild}"> <StackPanel Orientation="Horizontal"> <TextBlock Text="{Binding production_year}" /> <TextBlock Text="{Binding original_title}" Margin="10,0,0,0"/> <TextBlock x:Name="program_id" Text="{Binding program_id}" Margin="10,0,0,0" Visibility="Hidden"/> </StackPanel> </HierarchicalDataTemplate> </TreeView.ItemTemplate> </TreeView>。此外，我还要更新名为“MyBucket/myfile/demo.txt”的元数据。这是我试过的代码：

name

然而，它不起作用......我没有看到元数据得到更新。为什么呢？

Answer 1

您只需更新密钥的本地元数据，然后执行文件更新：

import boto

conn = boto.connect_s3()
bucket = conn.get_bucket("MyBucket")
key = bucket.get_key('myfile/demo.txt')
key.set_metadata('name', 'xyz')
key.set_contents_from_filename('demo.txt')

现在name应该在S3中显示为元数据。但请注意，执行此操作时ACL可能会更改。

也可以使用key.set_remote_metadata()完成。这不要求您更新密钥的内容（但如果需要，可以使用）：

conn = boto.connect_s3()
bucket = conn.get_bucket('MyBucket')
key = bucket.get_key('myfile/demo.txt')
key.set_remote_metadata({'name': 'xyz'}, {}, True)

Answer 2

以下代码更改boto3中的密钥元数据：

import boto3 as aws

s3 = aws.resource('s3')
obj = s3.Bucket('MyBucket').Object('objectKey')
obj.put(Metadata={'name':'newName'}

必须使用

According to the docs，set_metadata。我测试了它，并且下面的代码与boto2一起使用并更改了元数据：

import boto as aws

cx=aws.connect_s3()
bucket=cx.get_bucket('MyBucket')
obj=bucket.get_key('objectKey')
obj.set_metadata('name', 'newName')

Answer 3

使用Boto3时，请注意使用＆＃34; put_object＆＃34;使用元数据，这将改变您的实际元数据，如果您想使用元数据创建对象，然后添加元数据或更新现有元数据，请使用以下内容：

import sys
import os 
import boto3
from boto3 import client

param_1= sys.argv[1] 
param_2= sys.argv[2] 
param_3= sys.argv[3]  
param_4= sys.argv[4]
param_5= sys.argv[5]

objectNMAE='THIEF.jpg'

s3ressource = client(
    service_name='s3', 
    endpoint_url= param_3,
    aws_access_key_id= param_1,
    aws_secret_access_key=param_2,
    use_ssl=True,
    )

def createmetdata(bucketname,objectname):
    s3ressource.upload_file(objectname, bucketname, objectname, ExtraArgs={"Metadata": {"metadata1":"ImageName","metadata2":"ImagePROPERTIES" ,"metadata3":"ImageCREATIONDATE"}})

def ADDmetadata(bucketname,objectname):
    s3_object = s3ressource.get_object(Bucket=bucketname, Key=objectname)
    k = s3ressource.head_object(Bucket = bucketname, Key = objectname)
    m = k["Metadata"]
    m["new_metadata"] = "ImageNEWMETADATA"
    s3ressource.copy_object(Bucket = bucketname, Key = objectname, CopySource = bucketname + '/' + objectname, Metadata = m, MetadataDirective='REPLACE')

def CHANGEmetadata(bucketname,objectname):
    s3_object = s3ressource.get_object(Bucket=bucketname, Key=objectname)
    k = s3ressource.head_object(Bucket = bucketname, Key = objectname)
    m = k["Metadata"]
    m.update({'metadata3':'ImageCREATIONDATEEEEEEEEEEEEEEEEEEEEEEEEEE'})
    s3ressource.copy_object(Bucket = bucketname, Key = objectname, CopySource = bucketname + '/' + objectname, Metadata = m, MetadataDirective='REPLACE')

def readmetadata (bucketname,objectname):
    ALLDATAOFOBJECT = s3ressource.get_object(Bucket=bucketname, Key=objectname)
    ALLDATAOFOBJECTMETADATA=ALLDATAOFOBJECT['Metadata']
    print ALLDATAOFOBJECTMETADATA

createmetdata(param_4,objectNMAE)
readmetadata(param_4,objectNMAE)
ADDmetadata(param_4,objectNMAE)
readmetadata(param_4,objectNMAE)
CHANGEmetadata(param_4,objectNMAE)
readmetadata(param_4,objectNMAE)

在s3中更新元数据

3 个答案: