xiaohongshu
xiaohongshu
aws-boto3-patterns
AWS boto3 사용 패턴. Paginator, 세션 관리, CloudWatch 배치 메트릭 등.
Full skill instructions
이 프로젝트의 boto3 사용 패턴입니다.
대량 리소스 조회 시 필수:
def list_all_instances(client) -> list:
"""모든 EC2 인스턴스 조회"""
instances = []
paginator = client.get_paginator('describe_instances')
for page in paginator.paginate():
for reservation in page['Reservations']:
instances.extend(reservation['Instances'])
return instances
parallel_collect 콜백에서 세션 사용:
from core.parallel import get_client, parallel_collect
def _collect_and_analyze(session, account_id: str, account_name: str, region: str):
"""병렬 실행 콜백 (단일 계정/리전)"""
client = get_client(session, "ec2", region_name=region)
# ...
def run(ctx) -> None:
result = parallel_collect(ctx, _collect_and_analyze, service="ec2")
data = result.get_data()
from botocore.exceptions import ClientError, BotoCoreError
try:
response = client.describe_instances()
except ClientError as e:
error_code = e.response['Error']['Code']
if error_code == 'AccessDenied':
console.print(f"[yellow]권한 부족: {region}[/yellow]")
return []
elif error_code == 'InvalidParameterValue':
console.print(f"[red]잘못된 파라미터[/red]")
raise
else:
raise
except BotoCoreError as e:
console.print(f"[red]AWS 연결 오류: {e}[/red]")
raise
core/parallel 모듈 사용:
from core.parallel import get_client, parallel_collect
def _collect_and_analyze(session, account_id: str, account_name: str, region: str):
"""병렬 실행 콜백 - 멀티 계정/리전 자동 처리"""
client = get_client(session, "ec2", region_name=region)
# ... 리소스 수집 및 분석
return result # 또는 None
def run(ctx) -> None:
result = parallel_collect(
ctx,
_collect_and_analyze,
max_workers=20,
service="ec2", # 서비스명 (진행 표시용)
)
results = [r for r in result.get_data() if r is not None]
if result.error_count > 0:
console.print(f"[yellow]오류: {result.error_count}건[/yellow]")
상태 대기:
waiter = client.get_waiter('instance_running')
waiter.wait(
InstanceIds=['i-1234567890abcdef0'],
WaiterConfig={'Delay': 5, 'MaxAttempts': 20}
)
response = client.describe_instances(
Filters=[
{'Name': 'tag:Environment', 'Values': ['production']},
{'Name': 'instance-state-name', 'Values': ['running']},
]
)
리소스 태그 정책 준수 확인:
from core.tools import (
TagPolicyValidator,
TagPolicy,
TagRule,
create_cost_allocation_policy,
create_basic_policy,
)
# 기본 정책 사용
policy = create_basic_policy(
required_tags=["Name", "Environment", "Owner"],
environment_values=["prod", "stg", "dev"],
)
# 커스텀 정책
policy = TagPolicy(
name="My Policy",
rules=[
TagRule(key="Environment", required=True, allowed_values=["prod", "dev"]),
TagRule(key="CostCenter", required=True, pattern=r"^CC-\d{4}$"),
TagRule(key="Owner", required=True, pattern=r"^[a-z]+@company\.com$"),
],
)
# 검증
validator = TagPolicyValidator(policy)
result = validator.validate({"Environment": "prod", "Owner": "[email protected]"})
if not result.is_valid:
console.print(result.get_summary())
for key in result.missing_required:
console.print(f" 누락: {key}")
# 여러 리소스 일괄 검증
resources = [{"Id": "res-1", "Tags": {"Environment": "prod"}}]
results = validator.validate_resources(resources)
compliant, non_compliant, ids = validator.get_compliance_summary(results)
사전 정의 정책:
create_basic_policy() - 기본 태그 (Name, Environment, Owner)create_cost_allocation_policy() - 비용 할당 태그create_security_policy() - 보안 태그 (DataClassification 등)create_map_migration_policy() - MAP 2.0 마이그레이션 태그계정에서 접근 가능한 리전 확인 (옵트인 리전 지원):
from core.region import (
get_available_regions,
filter_available_regions,
validate_regions,
RegionAvailabilityChecker,
)
# 간편 사용
available = get_available_regions(session)
# 요청 리전 검증
requested = ["ap-northeast-2", "me-south-1"]
available, unavailable = validate_regions(session, requested)
for region, reason in unavailable:
console.print(f"[yellow]{region}: {reason}[/yellow]")
# 상세 제어
checker = RegionAvailabilityChecker(session=session)
opt_in_regions = checker.get_opt_in_regions() # 옵트인 필요 리전
enabled_opt_ins = checker.get_enabled_opt_in_regions() # 활성화된 옵트인 리전
특징:
expand_region_pattern()과 연동 가능미사용 리소스 탐지 시 CloudWatch 메트릭을 효율적으로 조회:
from shared.aws.metrics import (
batch_get_metrics,
build_ec2_metric_queries,
build_lambda_metric_queries,
)
# EC2 인스턴스 메트릭 조회 (14일)
queries = build_ec2_metric_queries(
instance_ids=["i-123", "i-456"],
days=14,
)
metrics = batch_get_metrics(session, queries, region)
# Lambda 함수 메트릭 조회
queries = build_lambda_metric_queries(
function_names=["my-func-1", "my-func-2"],
days=14,
)
metrics = batch_get_metrics(session, queries, region)
지원 함수:
build_ec2_metric_queries() - EC2 CPUUtilizationbuild_lambda_metric_queries() - Lambda Invocationsbuild_rds_metric_queries() - RDS DatabaseConnectionsbuild_elasticache_metric_queries() - ElastiCache CurrConnectionsbuild_nat_metric_queries() - NAT Gateway BytesOutToDestination특징:
서비스별 인벤토리 도구에서 공통 컬렉터 사용:
from shared.aws.inventory import InventoryCollector
def run(ctx) -> None:
collector = InventoryCollector(ctx)
# EC2 인스턴스 수집
instances = collector.collect_ec2()
# Security Group 수집
security_groups = collector.collect_security_groups()
# VPC 리소스 수집
enis = collector.collect_enis()
nat_gateways = collector.collect_nat_gateways()
vpc_endpoints = collector.collect_vpc_endpoints()
# ELB 리소스 수집
load_balancers = collector.collect_load_balancers()
target_groups = collector.collect_target_groups()
캐싱:
# SSO 세션 갱신은 parallel_collect 내부에서 자동 처리됨
# 토큰 만료 시 자동으로 재인증 시도
# ctx.provider 직접 사용 (특수한 경우):
if ctx.provider:
try:
session = ctx.provider.get_session(region=region)
except Exception:
console.print("[yellow]SSO 토큰 만료. 재인증 필요.[/yellow]")
raise
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