AMQ Monitoring and Email Alerts script

AMQMonitor.py

# -*- coding: utf-8 -*-
import base64,json
import urllib2
import smtplib
from email.mime.text import MIMEText
from AMQMOnitorConf import global_conf
import logging
import socket

logging.basicConfig(filename='AMQMonitor.log', level=logging.INFO,format='%(asctime)s - %(levelname)s - %(message)s')

#Sends Email 
def send_mail(resourceDetailsJson,alert):
        alertBodyTemplate="Hi Team,\nThe AMQ instance on %s requires attention.\nBelow resource has raised alert:\nResource Name:%s\nThreshold Value:%s\nCurrent Value:%s\nThanks & Regards\nAMQ Monitor script";
        currentVal=resourceDetailsJson["value"][alert["param"]]

        if(alert["condition"]=="percent"):
                percentAgainstVal=resourceDetailsJson["value"][alert["percentageAgainstParam"]]
                percentVal=(float(currentVal)/percentAgainstVal)*100
                currentVal=str(percentVal)+ "%";

        alertBody=alertBodyTemplate%(socket.gethostname(),alert["param"],alert["thresholdVal"],currentVal)
        print(alertBody)
        msg=MIMEText(alertBody)
        msg['from']=socket.gethostname()+"@yourdomain.com"
        msg['subject']= "AMQ Alert:"+socket.gethostname()
        msg["to"]=alert["emailList"]
        s=smtplib.SMTP("localhost")

        s.sendmail(socket.gethostname()+"@yourdomain.com",alert["emailList"].split(",") , msg.as_string())
        logging.info("Alert Email sent")
        s.quit();
        return;

#Condition checks current value and checks if value is within specified threshold as per conditions
def condition_check(resourceDetailsJson,alert):
        logging.info("Checking alert condition "+str(alert))
        paramVal=resourceDetailsJson["value"][alert["param"]]
        if alert["condition"]=="gt":
                if(paramVal>alert["thresholdVal"]):
                        return True;
        elif alert["condition"]=="lt":
                 if(paramVal<alert["thresholdVal"]):
                        return True;
        elif alert["condition"]=="eq":
                  if(paramVal==alert["thresholdVal"]):
                        return True;
        elif alert["condition"]=="percent":
                percentAgainstVal=resourceDetailsJson["value"][alert["percentageAgainstParam"]]
                percentVal=(float(paramVal)/percentAgainstVal)*100
                logging.info("Param Val: %s Percent against val: %s Percentage:%s"%(paramVal,percentAgainstVal,percentVal))
                if(percentVal>float(alert["thresholdVal"])):
                        return True;
        else:
                logging.error("Please speicify correct condition for alert "+ str(alert));
        return False;

#Calls the JolokiaURL and adds BasicAuth header to every reqest and dumps data as JSON
def read_request(requestURL):
        base64string = base64.b64encode('%s:%s' % (global_conf["jolokiaUserName"], global_conf["jolokiaPassword"]))
        opener=urllib2.build_opener()
        opener.addheaders=[("Authorization", "Basic %s" % base64string)]
        try:
                readRequest=opener.open(requestURL)
                if(readRequest.getcode()!=200):
                        logging.warning("Request Did not complete normaly for"+ requestURL);
                readData=readRequest.read()
                jsonData=json.loads(readData);
                return jsonData;
        except urllib2.HTTPError as e:
                if e.code== 404:
                        logging.error("Check for correct URL")
                        return None
                if e.code==401 or e.code==403:
                        logging.error("Check jolokiaUsername and jolokiaPassword ")
                        return None
        except urllib2.URLError as u:
                logging.error("There was error connecting to broker");
                logging.error("Please check if broker is up")
                return None

#Script execution starts here
jsondata=read_request(global_conf["jolokiaBase"])
memoryJson=read_request(global_conf["jolokiaBase"]+"/read/java.lang:type=Memory/HeapMemoryUsage")
if(memoryJson==None):
        detailsJson={"value":{"Broker Connectivity":"DOWN","currentVal":"DOWN"}}
        brokerDownAlert={"param":"Broker Connectivity","condition":"available","thresholdVal":"UP","emailList":"[email protected]"}
        send_mail(detailsJson,brokerDownAlert)
        exit();
for alert in global_conf["jvmAlerts"]:
        if(condition_check(memoryJson,alert)):
                send_mail(memoryJson,alert)
for queueName,alertsArray in global_conf["queueAlert"].iteritems():
        logging.info("Fetching details for Queue:"+queueName)
        queueURL=global_conf["jolokiaBase"]+"/read/org.apache.activemq:type=Broker,brokerName="+global_conf["brokerName"]+",destinationType=Queue,destinationName="+queueName
        queueDetailsJson=read_request(queueURL)
        if queueDetailsJson["status"]!=200:
                logging.error("Queue does not exist")
        else:
                for alert in alertsArray:
                        if(condition_check(queueDetailsJson,alert)):
                                send_mail(queueDetailsJson,alert)

AMQMOnitorConf.py

#Replace localhost with your servername
#Change username and password accordingly
#Alert can be applied on JVM Heap and Queue parameters
#Alert format is 
# param=Name of parameter on whose value you want to put alert
# thresholdVal= Value againsts which current value of param will be evaluated as per condition
# condition= denotes how to compare thresholdVal and current value of parameter.
#         Possible values are as below:
#         lt - Alert will be raised if current value is less than thresholdVal
#         gt - Alert will be raised if current value is greater than thresholdVal
#         eq - Alert will be raised if current value is equal to  thresholdVal
#         percent - Alert will be raised if current value percenatge are greater than thresholdVal
#           For this condition one extra parameter is required in alert configuration perecntAgainstParam. This is value which 
#           will be used to calculate percentage on current value. For example to calculate percent usage of JVM heap param will be used
#           percentAgainstParam will be max and percentage usage will be calculated like (param/percentAgainstParam)*100
# emailList= comma separated list of emails to notify on alert
#JVMAlerts: Alerts in this section can be used for Heap memory usage
#         Possible parameters are as below
#           used: int
#           init: int
#           max:int
#           commited:int
#QueueAlerts: Alerts used to monitor individual queue parameters
#         Possible values are as below:
#           MemoryUsageByteCount: int,
#           ProducerCount: int,
#           UseCache: boolean, 
#           CursorMemoryUsage: int
#           DLQ: boolean,
#           ProducerFlowControl: boolean,
#           MaxAuditDepth: int,
#           MaxPageSize: int,
#           AlwaysRetroactive: boolean,
#           MemoryPercentUsage: float,
#           PrioritizedMessages: boolean,
#           MaxEnqueueTime: int,
#           MemoryLimit: int,
#           CursorFull: false,
#           Paused: boolean,
#           MemoryUsagePortion: int,
#           InFlightCount: int,
#           Options: string,
#           MinMessageSize: int,
#           AverageBlockedTime: int,
#           Name: string,
#           MaxProducersToAudit: int,
#           ExpiredCount: int,
#           ForwardCount: int,
#           CursorPercentUsage: int,
#           BlockedSends: int,
#           AverageMessageSize: int,
#           EnqueueCount: int,
#           MaxMessageSize: int,
#           ConsumerCount: int
global_conf={
        "jolokiaBase":"http://localhost:8161/api/jolokia",
        "jolokiaUserName":"admin",
        "jolokiaPassword":"admin",
        "brokerName":"localhost",
        "brokerDownAlertEmail":"[email protected]",
        "jvmAlerts":[
                {"param":"used","thresholdVal":"0.2","condition":"percent","emailList":"[email protected]","percentageAgainstParam":"max"}
                ],
        "queueAlert":{
                "cbr.queue":[
                        {"param":"ConsumerCount","thresholdVal":200,"condition":"lt","emailList":"[email protected]"},
                        {"param":"QueueSize","thresholdVal":1,"condition":"eq","emailList":"[email protected]"}
                        ],
                "queue2":[]
                }
}