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python boto和boto3操作bucket的示例

 更新時(shí)間:2020年10月30日 11:57:26   作者:用戶1214487  
這篇文章主要介紹了python boto和boto3操作bucket的示例,幫助大家更好的理解和使用python,感興趣的朋友可以了解下

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) # 創(chuàng)建bucket

for bucket in conn.get_all_buckets(): # 獲取所有bucket
  # 將實(shí)際轉(zhuǎn)為本地時(shí)間
  print({"name": bucket.name, "create_date": str(datetime.datetime.strptime(bucket.creation_date, "%Y-%m-%dT%H:%M:%S.%fZ") + datetime.timedelta(hours=8))})


# 刪除指定的bucket
for bucket in conn.get_all_buckets():
  if bucket.name == str_bucket_name:
    for key in bucket.list(): # 必須將bucket里清空后,才能刪除掉對(duì)應(yīng)的bucket
      bucket.delete_key(key.name)
    conn.delete_bucket(bucket.name)
    break

# 存儲(chǔ)文件流或字符串中的數(shù)據(jù)
key = Key('hello.txt')

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

使用boto進(jìn)行https的連接失敗,  validate_certs設(shè)置成True或False沒有任何作用

is_secure為Ture時(shí),遇到的報(bào)錯(cuò)如下

ssl.SSLCertVerificationError: [SSL: CERTIFICATE_VERIFY_FAILED] certificate verify failed: unable to get local issuer certificate (_ssl.c:1076)

is_secure為False時(shí),遇到的報(bào)錯(cuò)如下

http.client.RemoteDisconnected: Remote end closed connection without response

遂更換了botot3

boto3,下面的示例是用的https的(boto對(duì)于https的連接不上,可能是因?yàn)槲业淖C書是自制的,所以才找了這個(gè)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(): # 獲取所有bucket
  # 將實(shí)際轉(zhuǎn)為本地時(shí)間
  print({"name": bucket.name, "create_date": datetime.datetime.strftime(bucket.creation_date + datetime.timedelta(hours=8), "%Y-%m-%d %H:%M:%S")})

# 刪除指定的bucket
for bucket in s3.buckets.all():
  if bucket.name == str_bucket_name:
    bucket.objects.all().delete()  # 等價(jià)于下面兩行
    # for obj in bucket.objects.all():
    #   obj.delete()
    bucket.delete()

# 存儲(chǔ)文件流或字符串中的數(shù)據(jù)
s3.Object('mybucket', 'hello.txt').put(Body=open('/tmp/hello.txt', 'rb'))

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