如何在 EC2 安裝 AWS SDK for Python (Boto3)

步驟 1: 安裝 Python

[ec2-user@ip-172-31-28-226 ~]$ sudo yum install python3 python3-pip -y

步驟 2: 驗證安裝

ec2-user@ip-172-31-28-226 ~]$ python3 --version
Python 3.9.16

步驟 3: 安裝 AWS SDK for Python (Boto3)

[ec2-user@ip-172-31-28-226 ~]$ pip3 install boto3
Defaulting to user installation because normal site-packages is not writeable
Collecting boto3
  Downloading boto3-1.34.40-py3-none-any.whl (139 kB)
     |████████████████████████████████| 139 kB 5.7 MB/s            
Collecting botocore<1.35.0,>=1.34.40
  Downloading botocore-1.34.40-py3-none-any.whl (12.0 MB)
     |████████████████████████████████| 12.0 MB 41.5 MB/s            
Collecting s3transfer<0.11.0,>=0.10.0
  Downloading s3transfer-0.10.0-py3-none-any.whl (82 kB)
     |████████████████████████████████| 82 kB 378 kB/s              
Requirement already satisfied: jmespath<2.0.0,>=0.7.1 in /usr/lib/python3.9/site-packages (from boto3) (0.10.0)
Requirement already satisfied: python-dateutil<3.0.0,>=2.1 in /usr/lib/python3.9/site-packages (from botocore<1.35.0,>=1.34.40->boto3) (2.8.1)
Requirement already satisfied: urllib3<1.27,>=1.25.4 in /usr/lib/python3.9/site-packages (from botocore<1.35.0,>=1.34.40->boto3) (1.25.10)
Requirement already satisfied: six>=1.5 in /usr/lib/python3.9/site-packages (from python-dateutil<3.0.0,>=2.1->botocore<1.35.0,>=1.34.40->boto3) (1.15.0)
Installing collected packages: botocore, s3transfer, boto3
Successfully installed boto3-1.34.40 botocore-1.34.40 s3transfer-0.10.0

步驟 4: 配置 AWS CLI (請自行設定自己的 AK 與 SK)

[ec2-user@ip-172-31-28-226 ~]$ aws configure
AWS Access Key ID [None]: AKIASHY4YDRZJLQSTQNU
AWS Secret Access Key [None]: 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
Default region name [None]: us-east-1
Default output format [None]: json

步驟 5: 寫一個 Python 程式來列出 S3 bucket

[ec2-user@ip-172-31-28-226 ~]$ vi list_s3_buckets.py 
[ec2-user@ip-172-31-28-226 ~]$ cat list_s3_buckets.py 
import boto3

def list_buckets():
    # 創建一個 S3 服務客戶端
    s3 = boto3.client('s3')
    
    # 列出所有buckets
    response = s3.list_buckets()
    
    # 輸出 bucket name
    print("S3 Buckets:")
    for bucket in response['Buckets']:
        print(f"- {bucket['Name']}")

if __name__ == '__main__':
    list_buckets()

步驟 6: 執行 Python 程式

[ec2-user@ip-172-31-28-226 ~]$ python3 list_s3_buckets.py
S3 Buckets:
- albert-buckert-154142252146