boto操作
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')
使用boto进行https的连接失败, validate_certs设置成True或False没有任何作用
is_secure为Ture时,遇到的报错如下
ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1076)
is_secure为False时,遇到的报错如下
http.client.RemoteDisconnected: Remote end closed connection without response
遂更换了botot3
boto3,下面的示例是用的https的(boto对于https的连接不上,可能是因为我的证书是自制的,所以才找了这个包)
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'))
以上就是python boto和boto3操作bucket的示例的详细内容,更多关于python 操作bucket的资料请关注呐喊教程其它相关文章!
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