import boto3
import json
from datetime import datetime
from botocore.exceptions import ClientError

def aws_setup_demo():
    """AWS环境配置演示"""
    print("=== AWS环境配置 ===")
    
    # 1. 配置AWS凭证
    print("1. AWS凭证配置方式:")
    print("   • 环境变量: AWS_ACCESS_KEY_ID, AWS_SECRET_ACCESS_KEY")
    print("   • AWS配置文件: ~/.aws/credentials")
    print("   • IAM角色: EC2实例自动获取权限")
    print("   • AWS CLI: aws configure")
    
    # 2. 创建会话
    print("\n2. 创建AWS会话:")
    
    # 使用默认配置创建会话
    session = boto3.Session()
    print(f"   默认区域: {session.region_name}")
    
    # 指定区域创建会话
    session_us_east = boto3.Session(region_name='us-east-1')
    print(f"   指定区域: {session_us_east.region_name}")
    
    # 3. 创建客户端和资源
    print("\n3. 创建客户端和资源:")
    
    # 客户端方式（低级API）
    s3_client = boto3.client('s3')
    print(f"   S3客户端: {s3_client}")
    
    # 资源方式（高级API）
    s3_resource = boto3.resource('s3')
    print(f"   S3资源: {s3_resource}")
    
    return session, s3_client, s3_resource

session, s3_client, s3_resource = aws_setup_demo()

def aws_error_handling_demo():
    """AWS错误处理演示"""
    print("\n=== AWS错误处理 ===")
    
    from botocore.config import Config
    from botocore.exceptions import ClientError, NoCredentialsError
    
    # 1. 配置重试机制
    print("1. 配置重试机制:")
    
    config = Config(
        retries={
            'max_attempts': 3,
            'mode': 'adaptive'
        },
        region_name='us-east-1'
    )
    
    s3_client = boto3.client('s3', config=config)
    print("   已配置重试机制")
    
    # 2. 错误处理示例
    print("\n2. 错误处理示例:")
    
    def safe_s3_operation():
        """安全的S3操作"""
        try:
            # 尝试列出存储桶
            response = s3_client.list_buckets()
            print("   S3操作成功")
            return response
        except NoCredentialsError:
            print("   错误: 未找到AWS凭证")
        except ClientError as e:
            error_code = e.response['Error']['Code']
            error_message = e.response['Error']['Message']
            print(f"   错误: {error_code} - {error_message}")
        except Exception as e:
            print(f"   未知错误: {str(e)}")
        
        return None
    
    # 执行安全操作
    result = safe_s3_operation()
    
    return s3_client

s3_client = aws_error_handling_demo()

def ec2_instance_demo():
    """EC2实例管理演示"""
    print("\n=== EC2实例管理 ===")
    
    # 创建EC2资源
    ec2 = boto3.resource('ec2')
    ec2_client = boto3.client('ec2')
    
    # 1. 查看可用实例类型
    print("1. 查看可用实例类型:")
    
    instance_types = ['t2.micro', 't2.small', 't2.medium', 't3.micro', 't3.small']
    print("   常用实例类型:")
    for instance_type in instance_types:
        print(f"   • {instance_type}")
    
    # 2. 启动实例（演示代码）
    print("\n2. 启动实例:")
    print("   注意: 以下代码需要有效的AWS凭证才能执行")
    
    def launch_instance_demo():
        """启动实例演示"""
        try:
            # 用户数据脚本
            user_data = """#!/bin/bash
yum update -y
yum install -y python3 pip
pip3 install flask
echo 'Hello from EC2!' > /var/www/html/index.html
"""
            
            print("   准备启动实例...")
            print("   实例类型: t2.micro")
            print("   用户数据: 安装Python和Flask")
            
            # 注意：实际使用时需要取消注释以下代码
            # instances = ec2.create_instances(
            #     ImageId='ami-0c55b159cbfafe1d0',  # Amazon Linux 2
            #     MinCount=1,
            #     MaxCount=1,
            #     InstanceType='t2.micro',
            #     UserData=user_data,
            #     TagSpecifications=[
            #         {
            #             'ResourceType': 'instance',
            #             'Tags': [
            #                 {'Key': 'Name', 'Value': 'Python-Demo-Instance'},
            #                 {'Key': 'Environment', 'Value': 'Demo'}
            #             ]
            #         }
            #     ]
            # )
            
        except ClientError as e:
            print(f"   启动实例失败: {e}")
    
    launch_instance_demo()
    
    return ec2, ec2_client

ec2, ec2_client = ec2_instance_demo()

def s3_basic_demo():
    """S3基础操作演示"""
    print("\n=== S3存储服务 ===")
    
    # 1. 创建存储桶
    print("1. 创建存储桶:")
    
    def create_bucket_demo():
        """创建存储桶演示"""
        bucket_name = 'python-demo-bucket-2019'
        
        try:
            # 创建存储桶
            s3_client.create_bucket(
                Bucket=bucket_name,
                CreateBucketConfiguration={'LocationConstraint': 'us-east-1'}
            )
            print(f"   存储桶创建成功: {bucket_name}")
            return bucket_name
        except ClientError as e:
            error_code = e.response['Error']['Code']
            if error_code == 'BucketAlreadyExists':
                print(f"   存储桶已存在: {bucket_name}")
            else:
                print(f"   创建存储桶失败: {e}")
            return bucket_name
    
    bucket_name = create_bucket_demo()
    
    # 2. 上传文件
    print("\n2. 上传文件:")
    
    def upload_file_demo():
        """上传文件演示"""
        try:
            # 创建示例文件
            file_content = """# Python AWS Demo
这是一个Python AWS演示文件
创建时间: 2019-07-05

import boto3

def hello_aws():
    print("Hello AWS!")

if __name__ == "__main__":
    hello_aws()
"""
            
            # 上传文件
            s3_client.put_object(
                Bucket=bucket_name,
                Key='demo/python_demo.py',
                Body=file_content.encode('utf-8'),
                ContentType='text/plain',
                Metadata={
                    'author': 'Python Developer',
                    'created': '2019-07-05'
                }
            )
            print("   文件上传成功: demo/python_demo.py")
            
        except ClientError as e:
            print(f"   文件上传失败: {e}")
    
    upload_file_demo()
    
    return bucket_name

bucket_name = s3_basic_demo()