#!/usr/bin/env python3 import re import time import os import subprocess # The WARN_THRESHOLD/CRIT_THRESHOLD settings makes it possible to # configure specific queues to have a higher or lower limit then the # default. WARN_THRESHOLD_DEFAULT = 10 WARN_THRESHOLD = { 'missedmessage_emails': WARN_THRESHOLD_DEFAULT, } CRIT_THRESHOLD_DEFAULT = 50 CRIT_THRESHOLD = { 'missedmessage_emails': CRIT_THRESHOLD_DEFAULT, } states = { 0: "OK", 1: "WARNING", 2: "CRITICAL", 3: "UNKNOWN" } pattern = re.compile(r'(\w+)\t(\d+)') output = subprocess.check_output(['/usr/sbin/rabbitmqctl', 'list_queues'], universal_newlines=True) status = 0 max_count = 0 warn_queues = [] if 'USER' in os.environ and not os.environ['USER'] in ['root', 'rabbitmq']: print("This script must be run as the root or rabbitmq user") for line in output.split("\n"): line = line.strip() m = pattern.match(line) if m: queue = m.group(1) count = int(m.group(2)) this_status = 0 if count > CRIT_THRESHOLD.get(queue, CRIT_THRESHOLD_DEFAULT): this_status = 2 warn_queues.append(queue) elif count > WARN_THRESHOLD.get(queue, WARN_THRESHOLD_DEFAULT): this_status = max(status, 1) warn_queues.append(queue) status = max(status, this_status) max_count = max(max_count, count) warn_about = ", ".join(warn_queues) now = int(time.time()) now_struct = time.gmtime(now) # While we are sending digest emails, at 1800 hrs (UTC) each weekday, the mail # queues can get backed up; don't alert on those. Additionally, certain workers # (slow_queries and digest_emails) have a polling algorithm that means it's # normal for them to accumulate items. if not set(warn_queues) - set(("digest_emails", "slow_queries")) and \ now_struct.tm_hour == 18 and now_struct.tm_min < 25: status = 0 print("%s|%s|%s|processing digests, not alerting on elevated mail queues" % ( now, status, states[status])) exit(0) if status > 0: print("%s|%s|%s|max count %s, queues affected: %s" % ( now, status, states[status], max_count, warn_about)) else: print("%s|%s|%s|queues normal, max count %s" % (now, status, states[status], max_count))