求Python Boto3代码：批量获取AWS卷ID关联的EC2实例ID与名称

前置准备 #

• 安装boto3：pip install boto3
• 配置AWS凭证：可通过环境变量、~/.aws/credentials文件或IAM角色（在EC2/ECS等AWS服务上运行时）授权，需具备ec2:DescribeVolumes和ec2:DescribeInstances权限。

代码实现 #

假设你的卷ID文件名为volume_ids.txt，每行一个卷ID（空行和以#开头的注释行会被自动忽略）：

import boto3
from botocore.exceptions import ClientError

def load_volume_ids(file_path):
    """从文本文件加载卷ID，过滤空行和注释"""
    volume_ids = []
    with open(file_path, 'r') as f:
        for line in f:
            line = line.strip()
            if line and not line.startswith('#'):
                volume_ids.append(line)
    return volume_ids

def get_volume_instance_mapping(ec2_client, volume_ids):
    """获取卷ID到挂载实例ID的映射"""
    volume_instance_map = {}
    try:
        # describe_volumes一次最多支持100个卷ID，匹配你的需求
        response = ec2_client.describe_volumes(VolumeIds=volume_ids)
        for volume in response['Volumes']:
            vol_id = volume['VolumeId']
            attachments = volume.get('Attachments', [])
            # 一个卷通常仅挂载到一个实例，取第一个挂载记录
            instance_id = attachments[0]['InstanceId'] if attachments else None
            volume_instance_map[vol_id] = instance_id
    except ClientError as e:
        print(f"查询卷信息出错: {e.response['Error']['Message']}")
        raise
    return volume_instance_map

def get_instance_names(ec2_client, instance_ids):
    """批量获取实例ID对应的名称标签"""
    instance_name_map = {}
    if not instance_ids:
        return instance_name_map
    try:
        response = ec2_client.describe_instances(InstanceIds=instance_ids)
        for reservation in response['Reservations']:
            for instance in reservation['Instances']:
                inst_id = instance['InstanceId']
                # 查找Name标签，无标签时显示'无名称'
                name_tag = next((tag['Value'] for tag in instance.get('Tags', []) if tag['Key'] == 'Name'), '无名称')
                instance_name_map[inst_id] = name_tag
    except ClientError as e:
        print(f"查询实例信息出错: {e.response['Error']['Message']}")
        raise
    return instance_name_map

if __name__ == '__main__':
    # 初始化EC2客户端
    ec2 = boto3.client('ec2')
    # 加载卷ID
    volume_ids = load_volume_ids('volume_ids.txt')
    if not volume_ids:
        print("未加载到有效卷ID")
        exit(1)
    # 获取卷与实例的映射
    vol_instance_map = get_volume_instance_mapping(ec2, volume_ids)
    # 收集所有已挂载的实例ID
    valid_instance_ids = [inst_id for inst_id in vol_instance_map.values() if inst_id]
    # 获取实例名称
    inst_name_map = get_instance_names(ec2, valid_instance_ids)
    # 格式化输出结果
    print("卷ID\t\t实例ID\t\t实例名称")
    print("-" * 60)
    for vol_id, inst_id in vol_instance_map.items():
        if inst_id:
            inst_name = inst_name_map.get(inst_id, '无名称')
            print(f"{vol_id}\t{inst_id}\t{inst_name}")
        else:
            print(f"{vol_id}\t未挂载\t\t-")

关键点说明 #

• 批量API调用：利用describe_volumes和describe_instances的批量查询能力，减少API请求次数，提升处理效率。
• 异常处理：捕获ClientError并输出具体错误信息，便于排查权限不足或资源不存在的问题。
• 边界场景处理：兼容卷未挂载、实例未设置Name标签的情况，避免程序崩溃。
• 文件兼容性：自动过滤空行和注释行，适配不同格式的卷ID文件。

内容的提问来源于stack exchange，提问作者Gax