boto3--通過Python的SDK連接aws

通過Python的SDK連接aws

參考：
https://aws.amazon.com/cn/developers/getting-started/python/

aws上生成訪問密鑰 ID 和私有訪問密鑰

1.Windows連接方式：

1 . 通過Windows連接到 aws服務器時，需要通過“訪問密鑰（訪問密鑰 ID 和私有訪問密鑰）”
2 . 需要在C:\Users\admin\.aws中創建credentials文件（.aws目錄不存在需要手動創建admin為你當前系統用戶家目錄）

cat /c/Users/admin/.aws/credentials

[default]
aws_access_key_id = xxxxxxxxxxxxxxxxxxxxxxx
aws_secret_access_key = xxxxxxxxxxxxxxxxxxxxxxxxxxxx

3 . 安裝boto3模塊

pip install boto3

4 . 列出已經存在的s3存儲桶

import boto3

s3client = boto3.client("s3")
for bucket in s3client.list_buckets()["Buckets"]:
    print(bucket)

輸出：

{'Name': 'xxxxxxs3', 'CreationDate': datetime.datetime(2017, 8, 2, 4, 16, 31, tzinfo=tzutc())}
{'Name': 'testxxxxxs3', 'CreationDate': datetime.datetime(2017, 8, 2, 6, 57, 29, tzinfo=tzutc())}

2.Linux連接方式：

1 . 安裝boto3模塊

pip install boto3

2 . 創建.aws目錄

[ec2-user@LiBaolin-Singapore#>> ~]$mkdir .aws

3 . 創建credentials文件

[ec2-user@LiBaolin-Singapore#>> ~/.aws]$cat credentials 
[default]
aws_access_key_id = xxxxxxxxxxxxxxxxxxxxxxx
aws_secret_access_key = xxxxxxxxxxxxxxxxxxxxxxxxxxxx

4 . clone一個測試實例

[ec2-user@LiBaolin-Singapore#>> ~]$git clone https://github.com/awslabs/aws-python-sample.git

5 . 運行測試實例（會創建一個存儲桶，並創建一個文件，最后刪除該存儲桶）

[ec2-user@LiBaolin-Singapore#>> ~/aws-python-sample]$python s3_sample.py

6 . s3_sample.py代碼如下：

import boto3
import uuid
s3client = boto3.client('s3')
bucket_name = 'python-sdk-sample-{}'.format(uuid.uuid4())

print('Creating new bucket with name: {}'.format(bucket_name))
s3client.create_bucket(Bucket=bucket_name)
list_buckets_resp = s3client.list_buckets()
for bucket in list_buckets_resp['Buckets']:
    if bucket['Name'] == bucket_name:
        print('(Just created) --> {} - there since {}'.format(
            bucket['Name'], bucket['CreationDate']))
object_key = 'python_sample_key.txt'
print('Uploading some data to {} with key: {}'.format(
    bucket_name, object_key))
s3client.put_object(Bucket=bucket_name, Key=object_key, Body=b'Hello World!')
url = s3client.generate_presigned_url(
    'get_object', {'Bucket': bucket_name, 'Key': object_key})
print('\nTry this URL in your browser to download the object:')
print(url)

input("\nPress enter to continue...")
print('\nNow using Resource API')
s3resource = boto3.resource('s3')
bucket = s3resource.Bucket(bucket_name)
obj = bucket.Object(object_key)
print('Bucket name: {}'.format(bucket.name))
print('Object key: {}'.format(obj.key))
print('Object content length: {}'.format(obj.content_length))
print('Object body: {}'.format(obj.get()['Body'].read()))
print('Object last modified: {}'.format(obj.last_modified))
print('\nDeleting all objects in bucket {}.'.format(bucket_name))

## 以下部分為 刪除剛才創建的存儲桶，為了看到效果可以先注釋，而后在手動刪除

delete_responses = bucket.objects.delete()
for delete_response in delete_responses:
    for deleted in delete_response['Deleted']:
        print('\t Deleted: {}'.format(deleted['Key']))
print('\nDeleting the bucket.')
bucket.delete()