mirror of
https://github.com/ceph/ceph
synced 2024-12-27 05:53:20 +00:00
123 lines
3.6 KiB
Python
123 lines
3.6 KiB
Python
import beanstalkc
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import yaml
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import logging
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import sys
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from collections import OrderedDict
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from .config import config
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from . import report
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log = logging.getLogger(__name__)
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def connect():
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host = config.queue_host
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port = config.queue_port
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if host is None or port is None:
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raise RuntimeError(
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'Beanstalk queue information not found in {conf_path}'.format(
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conf_path=config.teuthology_yaml))
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return beanstalkc.Connection(host=host, port=port)
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def watch_tube(connection, tube_name):
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connection.watch(tube_name)
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connection.ignore('default')
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def walk_jobs(connection, tube_name, callback, pattern=None):
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"""
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def callback(jobs_dict)
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"""
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log.info("Checking Beanstalk Queue...")
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job_count = connection.stats_tube(tube_name)['current-jobs-ready']
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if job_count == 0:
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log.info('No jobs in Beanstalk Queue')
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return
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# Try to figure out a sane timeout based on how many jobs are in the queue
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timeout = job_count / 2000.0 * 60
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matching_jobs = OrderedDict()
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for i in range(1, job_count + 1):
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sys.stderr.write("{i}/{count}\r".format(i=i, count=job_count))
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sys.stderr.flush()
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job = connection.reserve(timeout=timeout)
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if job is None or job.body is None:
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continue
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job_config = yaml.safe_load(job.body)
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job_name = job_config['name']
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job_id = job.stats()['id']
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if pattern is not None and pattern not in job_name:
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continue
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matching_jobs[job_id] = job
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sys.stderr.write('\n')
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sys.stderr.flush()
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callback(matching_jobs)
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def _print_matching_jobs(show_desc=False):
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def print_matching_jobs(jobs_dict):
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i = 0
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job_count = len(jobs_dict)
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for job_id, job in jobs_dict.iteritems():
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i += 1
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job_config = yaml.safe_load(job.body)
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job_name = job_config['name']
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job_desc = job_config['description']
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job_id = job.stats()['id']
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print 'Job: {i}/{count} {job_name}/{job_id}'.format(
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i=i,
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count=job_count,
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job_id=job_id,
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job_name=job_name,
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)
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if job_desc and show_desc:
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for desc in job_desc.split():
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print '\t {desc}'.format(desc=desc)
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return print_matching_jobs
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def delete_matching_jobs(jobs_dict):
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for job_id, job in jobs_dict.iteritems():
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job_config = yaml.safe_load(job.body)
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job_name = job_config['name']
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job_id = job.stats()['id']
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print 'Deleting {job_id}/{job_name}'.format(
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job_id=job_id,
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job_name=job_name,
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)
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job.delete()
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report.try_delete_jobs(job_name, job_id)
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def print_matching_runs(jobs_dict):
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runs = set()
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for job_id, job in jobs_dict.iteritems():
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job_config = yaml.safe_load(job.body)
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runs.add(job_config['name'])
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for run in runs:
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print run
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def main(args):
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machine_type = args['--machine_type']
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delete = args['--delete']
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runs = args['--runs']
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show_desc = args['--description']
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try:
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connection = connect()
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watch_tube(connection, machine_type)
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if delete:
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walk_jobs(connection, machine_type,
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delete_matching_jobs)
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elif runs:
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walk_jobs(connection, machine_type,
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print_matching_runs)
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else:
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walk_jobs(connection, machine_type,
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_print_matching_jobs(show_desc))
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except KeyboardInterrupt:
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log.info("Interrupted.")
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finally:
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connection.close()
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