python boto和boto3操作bucket的示例

import datetime

import boto.s3.connection
from boto.s3.key import Key
conn = boto.connect_s3(
  aws_access_key_id="123456",
  aws_secret_access_key="123456",
  host="127.0.0.1",
  port=8080,
  is_secure=False,
  calling_format=boto.s3.connection.OrdinaryCallingFormat(),
)

str_bucket_name = "bucket_test"
conn.create_bucket(str_bucket_name) # 创建bucket

for bucket in conn.get_all_buckets(): # 获取所有bucket
  # 将实际转为本地时间
  print({"name": bucket.name, "create_date": str(datetime.datetime.strptime(bucket.creation_date, "%Y-%m-%dT%H:%M:%S.%fZ") + datetime.timedelta(hours=8))})


# 删除指定的bucket
for bucket in conn.get_all_buckets():
  if bucket.name == str_bucket_name:
    for key in bucket.list(): # 必须将bucket里清空后，才能删除掉对应的bucket
      bucket.delete_key(key.name)
    conn.delete_bucket(bucket.name)
    break

# 存储文件流或字符串中的数据
key = Key('hello.txt')

key.set_contents_from_file('/tmp/hello.txt')

import urllib3
import boto3

urllib3.disable_warnings()

s3 = boto3.resource(
  service_name='s3',
  aws_access_key_id="123456",
  aws_secret_access_key="123456",
  endpoint_url='https://192.168.150.20:8080',
  verify=False
)

str_bucket_name = "bucket_test"
s3.create_bucket(Bucket=str_bucket_name)


for bucket in s3.buckets.all(): # 获取所有bucket
  # 将实际转为本地时间
  print({"name": bucket.name, "create_date": datetime.datetime.strftime(bucket.creation_date + datetime.timedelta(hours=8), "%Y-%m-%d %H:%M:%S")})

# 删除指定的bucket
for bucket in s3.buckets.all():
  if bucket.name == str_bucket_name:
    bucket.objects.all().delete()  # 等价于下面两行
    # for obj in bucket.objects.all():
    #   obj.delete()
    bucket.delete()

# 存储文件流或字符串中的数据
s3.Object('mybucket', 'hello.txt').put(Body=open('/tmp/hello.txt', 'rb'))