I'm working with the rabbitMQ API and trying to make additional requests through a custom response handler.
We call the API/queues API which gives us all the queues. Then in the response handler, I'm trying to parse out the queue names and make additional requests to the api/queues/%2f/queuename api which gives detailed information regarding that queue.
Here's what I have in the response handler. I've removed all the other custom response handler class examples, etc... Any assistance would be greatly appreciated.
#add your custom response handler class to this module
import sys
import json
import datetime
import urlparse
import requests
import os.path
SPLUNK_HOME = os.environ.get("SPLUNK_HOME")
RESPONSE_HANDLER_INSTANCE = None
SPLUNK_PORT = 8089
STANZA = None
SESSION_TOKEN = None
REGEX_PATTERN = None
#dynamically load in any eggs in /etc/apps/snmp_ta/bin
EGG_DIR = SPLUNK_HOME + "/etc/apps/rest_ta/bin/"
for filename in os.listdir(EGG_DIR):
if filename.endswith(".egg"):
sys.path.append(EGG_DIR + filename)
#the default handler , does nothing , just passes the raw output directly to STDOUT
class DefaultResponseHandler:
def __init__(self,**args):
pass
def __call__(self, response_object,raw_response_output,response_type,req_args,endpoint):
cookies = response_object.cookies
if cookies:
req_args["cookies"] = cookies
print_xml_stream(raw_response_output)
class vueQueuesHandler:
def __init__(self,**args):
self.user = args['username']
self.pw = args['password']
pass
def __call__(self, response_object,raw_response_output,response_type,req_args,endpoint):
if response_type is not None and response_type=="json":
output=json.loads(raw_response_output)
for x in output:
session = requests.session()
session.auth = (self.user, self.pw)
queueName = session.get('https://rabbitvts1dev.ourdomain.com/api/queues/%2f/' + x['name'], verify=False)
queueJSON = json.loads(queueName.content)
queueJSON['created_at'] = str(datetime.datetime.now())
print_xml_stream(json.dumps(queueJSON))
else:
pass
#HELPER FUNCTIONS
# prints XML stream
def print_xml_stream(s):
print "%s
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