2020-06-11 00:54:34 +02:00
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import json
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2020-03-21 13:10:22 +01:00
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import os
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import re
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import subprocess
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2023-12-04 18:35:04 +01:00
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import sys
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2020-06-11 00:54:34 +02:00
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import time
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2020-03-21 13:10:22 +01:00
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from collections import defaultdict
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2024-07-12 02:30:17 +02:00
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from typing import Any
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2020-03-21 13:10:22 +01:00
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ZULIP_PATH = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
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2023-12-04 18:35:04 +01:00
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sys.path.append(ZULIP_PATH)
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2024-05-22 06:22:22 +02:00
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from scripts.lib.zulip_tools import atomic_nagios_write, get_config, get_config_file
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2023-12-04 18:35:04 +01:00
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2020-03-21 13:10:22 +01:00
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normal_queues = [
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2021-02-12 08:20:45 +01:00
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"deferred_work",
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"digest_emails",
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"email_mirror",
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2022-06-14 02:43:14 +02:00
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"email_senders",
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2021-02-12 08:20:45 +01:00
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"embed_links",
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"embedded_bots",
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"missedmessage_emails",
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"missedmessage_mobile_notifications",
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"outgoing_webhooks",
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"user_activity",
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"user_activity_interval",
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"user_presence",
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2020-03-21 13:10:22 +01:00
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]
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2023-12-04 18:35:04 +01:00
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mobile_notification_shards = int(
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get_config(get_config_file(), "application_server", "mobile_notification_shards", "1")
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)
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2020-03-21 13:10:22 +01:00
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OK = 0
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WARNING = 1
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CRITICAL = 2
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UNKNOWN = 3
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states = {
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0: "OK",
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1: "WARNING",
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2: "CRITICAL",
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python: Use trailing commas consistently.
Automatically generated by the following script, based on the output
of lint with flake8-comma:
import re
import sys
last_filename = None
last_row = None
lines = []
for msg in sys.stdin:
m = re.match(
r"\x1b\[35mflake8 \|\x1b\[0m \x1b\[1;31m(.+):(\d+):(\d+): (\w+)", msg
)
if m:
filename, row_str, col_str, err = m.groups()
row, col = int(row_str), int(col_str)
if filename == last_filename:
assert last_row != row
else:
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
with open(filename) as f:
lines = f.readlines()
last_filename = filename
last_row = row
line = lines[row - 1]
if err in ["C812", "C815"]:
lines[row - 1] = line[: col - 1] + "," + line[col - 1 :]
elif err in ["C819"]:
assert line[col - 2] == ","
lines[row - 1] = line[: col - 2] + line[col - 1 :].lstrip(" ")
if last_filename is not None:
with open(last_filename, "w") as f:
f.writelines(lines)
Signed-off-by: Anders Kaseorg <anders@zulipchat.com>
2020-04-10 05:23:40 +02:00
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3: "UNKNOWN",
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2020-03-21 13:10:22 +01:00
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}
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2024-07-12 02:30:17 +02:00
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MAX_SECONDS_TO_CLEAR: defaultdict[str, int] = defaultdict(
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2020-03-21 13:10:22 +01:00
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lambda: 30,
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2023-11-09 21:15:43 +01:00
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deferred_work=600,
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2020-04-10 22:14:12 +02:00
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digest_emails=1200,
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missedmessage_mobile_notifications=120,
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2020-09-17 15:21:44 +02:00
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embed_links=60,
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2020-04-22 01:09:50 +02:00
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)
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2024-07-12 02:30:17 +02:00
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CRITICAL_SECONDS_TO_CLEAR: defaultdict[str, int] = defaultdict(
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2020-03-21 13:10:22 +01:00
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lambda: 60,
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2023-11-09 21:15:43 +01:00
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deferred_work=900,
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2020-04-10 22:14:12 +02:00
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missedmessage_mobile_notifications=180,
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2020-09-20 13:35:35 +02:00
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digest_emails=1800,
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2020-09-17 15:21:44 +02:00
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embed_links=90,
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2020-04-22 01:09:50 +02:00
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)
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2020-03-21 13:10:22 +01:00
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2021-02-12 08:19:30 +01:00
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def analyze_queue_stats(
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2024-07-12 02:30:17 +02:00
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queue_name: str, stats: dict[str, Any], queue_count_rabbitmqctl: int
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) -> dict[str, Any]:
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2020-03-21 13:10:22 +01:00
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now = int(time.time())
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if stats == {}:
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2021-02-12 08:20:45 +01:00
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return dict(status=UNKNOWN, name=queue_name, message="invalid or no stats data")
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2020-03-21 13:10:22 +01:00
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2021-02-12 08:20:45 +01:00
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if now - stats["update_time"] > 180 and queue_count_rabbitmqctl > 10:
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2020-03-21 13:10:22 +01:00
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# Queue isn't updating the stats file and has some events in
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# the backlog, it's likely stuck.
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#
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2020-09-06 18:26:27 +02:00
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# TODO: There's an unlikely race condition here - if the queue
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# was fully emptied and was idle due to no new events coming
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# for over 180 seconds, suddenly gets a burst of events and
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# this code runs exactly in the very small time window between
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# those events popping up and the queue beginning to process
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# the first one (which will refresh the stats file at the very
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# start), we'll incorrectly return the CRITICAL status. The
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# chance of that happening should be negligible because the queue
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# worker should wake up immediately and log statistics before
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# starting to process the first event.
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2021-02-12 08:19:30 +01:00
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return dict(
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status=CRITICAL,
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name=queue_name,
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2021-02-12 08:20:45 +01:00
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message="queue appears to be stuck, last update {}, queue size {}".format(
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stats["update_time"], queue_count_rabbitmqctl
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2021-02-12 08:19:30 +01:00
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),
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)
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2020-03-21 13:10:22 +01:00
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2020-09-06 17:05:38 +02:00
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current_size = queue_count_rabbitmqctl
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2021-02-12 08:20:45 +01:00
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average_consume_time = stats["recent_average_consume_time"]
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2020-03-21 13:10:22 +01:00
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if average_consume_time is None:
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# Queue just started; we can't effectively estimate anything.
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#
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# If the queue is stuck in this state and not processing
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# anything, eventually the `update_time` rule above will fire.
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2021-02-12 08:20:45 +01:00
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return dict(status=OK, name=queue_name, message="")
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2020-03-21 13:10:22 +01:00
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expected_time_to_clear_backlog = current_size * average_consume_time
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2020-09-20 13:35:35 +02:00
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if expected_time_to_clear_backlog > MAX_SECONDS_TO_CLEAR[queue_name]:
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if expected_time_to_clear_backlog > CRITICAL_SECONDS_TO_CLEAR[queue_name]:
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status = CRITICAL
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else:
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status = WARNING
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2020-03-21 13:10:22 +01:00
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2021-02-12 08:19:30 +01:00
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return dict(
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status=status,
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name=queue_name,
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2021-02-12 08:20:45 +01:00
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message=f"clearing the backlog will take too long: {expected_time_to_clear_backlog}s, size: {current_size}",
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2021-02-12 08:19:30 +01:00
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)
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2021-02-12 08:20:45 +01:00
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return dict(status=OK, name=queue_name, message="")
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2020-03-21 13:10:22 +01:00
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WARN_COUNT_THRESHOLD_DEFAULT = 10
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CRITICAL_COUNT_THRESHOLD_DEFAULT = 50
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2021-02-12 08:19:30 +01:00
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2024-07-12 02:30:17 +02:00
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def check_other_queues(queue_counts_dict: dict[str, int]) -> list[dict[str, Any]]:
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2021-05-08 02:36:30 +02:00
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"""Do a simple queue size check for queues whose workers don't publish stats files."""
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2020-03-21 13:10:22 +01:00
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results = []
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for queue, count in queue_counts_dict.items():
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if queue in normal_queues:
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continue
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if count > CRITICAL_COUNT_THRESHOLD_DEFAULT:
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2021-02-12 08:20:45 +01:00
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results.append(dict(status=CRITICAL, name=queue, message=f"count critical: {count}"))
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2020-03-21 13:10:22 +01:00
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elif count > WARN_COUNT_THRESHOLD_DEFAULT:
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2021-02-12 08:20:45 +01:00
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results.append(dict(status=WARNING, name=queue, message=f"count warning: {count}"))
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2020-03-21 13:10:22 +01:00
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else:
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2021-02-12 08:20:45 +01:00
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results.append(dict(status=OK, name=queue, message=""))
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2020-03-21 13:10:22 +01:00
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return results
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2021-02-12 08:19:30 +01:00
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2020-03-21 13:10:22 +01:00
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def check_rabbitmq_queues() -> None:
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2021-02-12 08:20:45 +01:00
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pattern = re.compile(r"(\w+)\t(\d+)\t(\d+)")
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2022-09-17 03:20:47 +02:00
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if "USER" in os.environ and os.environ["USER"] not in ["root", "rabbitmq"]:
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2020-03-21 13:10:22 +01:00
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print("This script must be run as the root or rabbitmq user")
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2021-02-12 08:19:30 +01:00
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list_queues_output = subprocess.check_output(
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2021-02-12 08:20:45 +01:00
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["/usr/sbin/rabbitmqctl", "list_queues", "name", "messages", "consumers"],
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2022-01-22 07:52:54 +01:00
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text=True,
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2021-02-12 08:19:30 +01:00
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)
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2020-09-02 08:14:51 +02:00
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queue_counts_rabbitmqctl = {}
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2020-09-29 23:32:27 +02:00
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queues_with_consumers = []
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2020-03-21 13:10:22 +01:00
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for line in list_queues_output.split("\n"):
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line = line.strip()
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m = pattern.match(line)
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if m:
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queue = m.group(1)
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count = int(m.group(2))
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2020-09-29 23:32:27 +02:00
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consumers = int(m.group(3))
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2020-03-21 13:10:22 +01:00
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queue_counts_rabbitmqctl[queue] = count
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2020-09-29 23:32:27 +02:00
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if consumers > 0 and not queue.startswith("notify_tornado"):
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queues_with_consumers.append(queue)
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2020-03-21 13:10:22 +01:00
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2021-02-12 08:19:30 +01:00
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queue_stats_dir = subprocess.check_output(
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2021-02-12 08:20:45 +01:00
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[os.path.join(ZULIP_PATH, "scripts/get-django-setting"), "QUEUE_STATS_DIR"],
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2022-01-22 07:52:54 +01:00
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text=True,
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2021-02-12 08:19:30 +01:00
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).strip()
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2024-07-12 02:30:17 +02:00
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queue_stats: dict[str, dict[str, Any]] = {}
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2023-12-04 18:35:04 +01:00
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check_queues = normal_queues
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if mobile_notification_shards > 1:
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check_queues += [
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f"missedmessage_mobile_notifications_shard{d}"
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for d in range(1, mobile_notification_shards + 1)
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]
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queues_to_check = set(check_queues).intersection(set(queues_with_consumers))
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2020-03-21 13:10:22 +01:00
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for queue in queues_to_check:
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fn = queue + ".stats"
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file_path = os.path.join(queue_stats_dir, fn)
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if not os.path.exists(file_path):
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queue_stats[queue] = {}
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continue
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2020-04-10 01:58:24 +02:00
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with open(file_path) as f:
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2020-03-21 13:10:22 +01:00
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try:
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queue_stats[queue] = json.load(f)
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except json.decoder.JSONDecodeError:
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queue_stats[queue] = {}
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results = []
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for queue_name, stats in queue_stats.items():
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2020-04-10 21:36:13 +02:00
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results.append(analyze_queue_stats(queue_name, stats, queue_counts_rabbitmqctl[queue_name]))
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2020-03-21 13:10:22 +01:00
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results.extend(check_other_queues(queue_counts_rabbitmqctl))
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2021-02-12 08:20:45 +01:00
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status = max(result["status"] for result in results)
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2020-03-21 13:10:22 +01:00
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if status > 0:
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queue_error_template = "queue {} problem: {}:{}"
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2021-02-12 08:20:45 +01:00
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error_message = "; ".join(
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queue_error_template.format(result["name"], states[result["status"]], result["message"])
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2021-02-12 08:19:30 +01:00
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for result in results
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2021-02-12 08:20:45 +01:00
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if result["status"] > 0
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2020-09-02 06:20:26 +02:00
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)
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2024-05-22 06:22:22 +02:00
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sys.exit(
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atomic_nagios_write(
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"check-rabbitmq-results",
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"critical" if status == CRITICAL else "warning",
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error_message,
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)
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)
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2020-03-21 13:10:22 +01:00
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else:
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2024-05-22 06:22:22 +02:00
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atomic_nagios_write("check-rabbitmq-results", "ok", "queues normal")
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