AWS CLI 负载均衡器中可以使用 Lambda 函数来处理 OIDC 验证,并将验证结果缓存在 DynamoDB 表中,以提高性能和减少 OIDC 服务器负载。以下是一个示例 Lambda 函数,可以在负载均衡器中使用它来缓存 OIDC 验证结果:
import boto3
from botocore.exceptions import ClientError
import json
client = boto3.client('sts')
def lambda_handler(event, context):
print("Received event: " + json.dumps(event))
token = event['queryStringParameters']['token']
cache_key = f"OIDC:{token}"
# Check cache first
try:
dynamodb = boto3.client('dynamodb')
response = dynamodb.get_item(
TableName='OIDC-cache',
Key={
'cache_key': {'S': cache_key}
},
ProjectionExpression='cached_data'
)
cached_data = response['Item']['cached_data']['S']
print(f"Data for {cache_key} found in cache: {cached_data}")
return {
'statusCode': 200,
'body': f"{{\"result\": {cached_data}}}",
'headers': {'Content-Type': 'application/json'}
}
except KeyError:
pass # cache miss, proceed to OIDC validation
# Call STS to validate the token
try:
response = client.decode_authorization_message(
EncodedMessage=token
)
except ClientError as e:
error_message = e.response['Error']['Message']
print(f"Error: {error_message}")
return {
'statusCode': 400,
'body': f"{{\"error\": {error_message}}}",
'headers': {'Content-Type': 'application/json'}
}
print(f"Validated token: {response}")
cached_data = json.dumps(response)
print(f"Caching data for {cache_key}: {cached_data}")
# Add result to cache
dynamodb.put_item(
TableName='OIDC-cache',
Item={
'cache_key': {'S': cache_key},
'cached_data': {'S': cached_data}
}
)
return {
'statusCode': 200,
'body': f"{{\"result\": {cached_data}}}",
'headers': {'Content-Type': 'application/json'}
}
在此示例 Lambda 函数中,我们首先检查 DynamoDB 表中是否已缓存与传递的令牌匹配的 OIDC 数据。如果