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我想编写下面的Python脚本作为Amazon lambda函数,该脚本将RabbitMQ指标发布到Amazon cloudwatch,我尝试了几次并尝试获取rabbitmq深度,但是我的Lambda函数未能将度量指标发布到cloudwatch。如何将Python脚本编写为Amazon Lambda函数?
from __future__ import with_statement, print_function
from pyrabbit.api import Client
import boto3
import os
host = ""
username = ""
password = ""
vhost = ""
namespace = ""
def get_queue_depths(host, username, password, vhost):
cl = Client(host, username, password)
if not cl.is_alive():
raise Exception("Failed to connect to rabbitmq")
depths = {}
queues = [q['name'] for q in cl.get_queues(vhost=vhost)]
for queue in queues:
if queue == "aliveness-test":
continue
if 'celery' in queue:
continue
depths[queue] = cl.get_queue_depth(vhost, queue)
return depths
def publish_queue_depth_to_cloudwatch(cwc, queue_name, depth, namespace):
float(depth)
cwc = boto3.client('cloudwatch',region_name="us-east-1")
response = client.put_metric_data(
Namespace=namespace,
MetricData=[ { 'MetricName': queue_name, 'Value': depth, 'Unit': 'Count' } ]
)
print("Putting metric namespace=%s name=%s unit=Count value=%f" %
(namespace, queue_name, depth))
def publish_depths_to_cloudwatch(depths, namespace):
for queue in depths:
publish_queue_depth_to_cloudwatch(cwc, queue, depths[queue], namespace)
def get_queue_depths_and_publish_to_cloudwatch(host, username, password, vhost, namespace):
depths = get_queue_depths(host, username, password, vhost)
publish_depths_to_cloudwatch(depths, namespace)
if __name__ == "__main__":
while True:
get_queue_depths_and_publish_to_cloudwatch(host, username, password, vhost, namespace)
中所暗示的那么具体问题是关于从您的Lambda函数发布到CloudWatch的具体问题?当Lambda函数的CloudWatch日志无法将度量标准发布到CloudWatch时,错误消息是什么? Lambda函数是在VPC的内部还是外部运行?您是否已将适当的IAM角色分配给允许其将度量标准发布到CloudWatch的函数? –
以及我的lambda函数设法获取rabbitmq深度,我可以在日志中看到它们,但是当涉及到发布到cloudwatch时,它会失败并以超时退出,函数在VPC中运行,并且是的,我将正确的IAM角色分配给功能 –
如果它正在VPC中运行,那么您将不得不向VPC添加NAT网关,以便Lambda函数能够访问VPC之外的任何内容,包括AWS资源(如CloudWatch)。 –