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#!/usr/bin/env python3
Monitor jobs for brokenness, and when brokenness is detected, send a message to an AWS SQS queue.
Supports two types of job monitoring:
* AWS Batch jobs (--aws_batch_jobs).
Reports jobs in FAILED state.
* Local jobs (--local_runs_dir <dir>).
Reads all .log files in the directory, looking for strings specified in `include` and `exclude` below.
We only want to send a single message about each broken job, so we store state in a file `state`
in the current directory.
import argparse
import errno
import glob
import json
import os
import signal
import subprocess
import uuid
from functools import wraps
from pathlib import Path
from socket import gethostname
import requests
queue_url = ""
# Log file strings which cause us to cause us to consider a local job broken
include = ['exception', 'error', 'Error']
# But if we see a line like "Exception: HTTPError", then it's OK; don't consider the job broken
exclude = ['ALSA', 'Exception while trying to read metadata', 'INTERNAL SERVER ERROR', 'HTTPError',
def send_alert(text):
global data
data = {'Action': 'SendMessage',
'MessageBody': text,
'MessageGroupId': '0',
'MessageDeduplicationId': str(int(uuid.uuid4()))}, data=data).raise_for_status()
def mark_as_broken(state_path, run_name):
with open(state_path, 'a') as f:
f.write(run_name + '\n')
class TimeoutError(Exception):
def timeout(seconds=10, error_message=os.strerror(errno.ETIME)):
def decorator(func):
def _handle_timeout(signum, frame):
raise TimeoutError(error_message)
def wrapper(*args, **kwargs):
signal.signal(signal.SIGALRM, _handle_timeout)
result = func(*args, **kwargs)
return result
return wraps(func)(wrapper)
return decorator
def contains_error_lines(log_file):
with open(log_file, 'r') as f:
lines = f.readlines()
for line in lines:
if any([p in line for p in include]) and not any([p in line for p in exclude]):
return True
return False
def check_logs(dirs, state_path, already_broken_runs):
for run_dir in dirs:
run_name = Path(run_dir).parts[-1]
if run_name in already_broken_runs:
broken = False
for log_file in glob.glob(os.path.join(run_dir, '*.log')):
broken = contains_error_lines(log_file)
if broken:
if broken:
send_alert(f"Host {gethostname()} run {run_name} broken")
mark_as_broken(state_path, run_name)
def check_jobs(state_path, already_broken_runs):
json_output = subprocess.check_output("aws batch list-jobs --job-queue q --job-status FAILED", shell=True)
for job in json.loads(json_output)['jobSummaryList']:
if job['jobId'] in already_broken_runs:
mark_as_broken(state_path, job['jobId'])
send_alert(f"AWS run {job['jobName']} ({job['jobId']}) failed")
def main():
parser = argparse.ArgumentParser()
group = parser.add_argument_group()
group.add_argument('--aws_batch_jobs', action='store_true')
args = parser.parse_args()
state_dir = os.path.dirname(os.path.abspath(__file__))
state_path = os.path.join(state_dir, 'state')
if os.path.exists(state_path):
with open(state_path, 'r') as f:
already_broken_runs = [l.strip() for l in f.readlines()]
already_broken_runs = []
if args.aws_batch_jobs:
check_jobs(state_path, already_broken_runs)
elif args.local_runs_dir:
paths = [os.path.join(args.local_runs_dir, p) for p in os.listdir(args.local_runs_dir)]
dirs = [p for p in paths if os.path.isdir(p)]
check_logs(dirs, state_path, already_broken_runs)
raise Exception("No check mode specified")
if __name__ == '__main__':
except TimeoutError:
send_alert(f"Timed out while checking logs on {gethostname()}")
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