我试图修改这个python函数来监视zabbix中的lambda函数
(为每个lambda函数自动创建项/触发器)
https://github.com/omni-lchen/zabbix-cloudwatch/blob/master/awsLLD.py#L182
import re
import json
from optparse import OptionParser
from awsAccount import awsAccount
from awsConnection import awsConnection
def config_parser():
parser = OptionParser(usage="usage: %prog [options]", version="%prog 1.0")
parser.add_option("-a", "--account", dest="accountname", help="account name", metavar="ACCOUNT")
parser.add_option("-r", "--region", dest="region", help="region", metavar="REGION")
parser.add_option("-q", "--query", dest="query", help="specify a query", metavar="QUERY")
parser.add_option("-c", "--component", dest="component", help="component name", metavar="COMPONENT")
return parser
def get(a, r):
account = a
aws_account = awsAccount(account)
aws_access_key_id = aws_account._aws_access_key_id
aws_secret_access_key = aws_account._aws_secret_access_key
aws_region = r
#component = c
# Init LLD Data
lldlist = []
llddata = {"data":lldlist}
# Connect to Lambda service
conn = awsConnection()
conn.lambdaConnect(aws_region, aws_access_key_id, aws_secret_access_key)
lambdaConn = conn._aws_connection
# Save Lambda function results in a list
functionResultsList = []
# Save topic names in a list
tdata = []
# Get a list of Lambda Functions
functionResults = lambdaConn.list_functions()
functionResultsList.append(functionResults)
print functionResults
nextmarker = functionResults['Functions']['NextMarker']
if __name__ == '__main__':
parser = config_parser()
(options, args) = parser.parse_args()
account = options.accountname
region = options.region
query = options.query
get(account,region)
print函数results给出这些结果(2个函数)
{u'Functions': [{u'Description': u'',
u'LastModified': u'2018-08-01T18:50:04.214+0000',
u'ConfigurationId': u'e97b805a-c947-4c56-9a2e-5bef3c4cc6c5',
u'CodeSize': 222,
u'FunctionARN': u'arn:aws:lambda:eu-west-1:233135199200:function:test',
u'MemorySize': 128,
u'Handler': u'lambda_function.lambda_handler',
u'Role': u'arn:aws:iam::233135199200:role/lambda_basic_execution',
u'Mode': u'event',
u'Timeout': 3, u'Runtime': u'python2.7',
u'FunctionName': u'test'},
{u'Description': u'',
u'LastModified': u'2018-06-18T12:17:34.362+0000',
u'ConfigurationId': u'b3c59ce0-f028-43b2-8c34-a73d2bb41782',
u'CodeSize': 1436,
u'FunctionARN': u'arn:aws:lambda:eu-west-1:233135199200:function:email',
u'MemorySize': 128,
u'Handler': u'lambda_function.lambda_handler',
u'Role': u'arn:aws:iam::233135199200:role/lambda_basic_execution',
u'Mode': u'event',
u'Timeout': 183,
u'Runtime': u'python2.7',
u'FunctionName': u'email'}],
u'NextMarker': None}
下一行为我创建了一个问题:
从当前结果中获取下一个标记,该标记将用于获取下一个标记
NextMarker=函数结果[函数][下一个标记]
File "./sns.py", line 51, in get
nextmarker = functionResults['Functions']['Description']['NextMarker']
TypeError: list indices must be integers, not str
预期结果应为:无
最后一个词
functionResults
输出变量