mirror of
https://github.com/ceph/ceph
synced 2024-12-27 14:03:25 +00:00
2e18fddb6f
Signed-off-by: Zack Cerza <zack.cerza@inktank.com>
170 lines
4.7 KiB
Python
170 lines
4.7 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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if ',' in tube_name:
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log.debug("Correcting tube name to 'multi'")
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tube_name = 'multi'
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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, processor, 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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for i in range(1, job_count + 1):
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print_progress(i, job_count, "Loading")
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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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processor.add_job(job_id, job_config, job)
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end_progress()
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processor.complete()
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def print_progress(index, total, message=None):
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msg = "{m} ".format(m=message) if message else ''
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sys.stderr.write("{msg}{i}/{total}\r".format(
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msg=msg, i=index, total=total))
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sys.stderr.flush()
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def end_progress():
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sys.stderr.write('\n')
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sys.stderr.flush()
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class JobProcessor(object):
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def __init__(self):
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self.jobs = OrderedDict()
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def add_job(self, job_id, job_config, job_obj=None):
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job_id = str(job_id)
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job_dict = dict(
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index=(len(self.jobs) + 1),
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job_config=job_config,
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)
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if job_obj:
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job_dict['job_obj'] = job_obj
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self.jobs[job_id] = job_dict
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self.process_job(job_id)
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def process_job(self, job_id):
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pass
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def complete(self):
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pass
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class JobPrinter(JobProcessor):
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def __init__(self, show_desc=False):
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super(JobPrinter, self).__init__()
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self.show_desc = show_desc
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def process_job(self, job_id):
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job_config = self.jobs[job_id]['job_config']
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job_index = self.jobs[job_id]['index']
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job_name = job_config['name']
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job_desc = job_config['description']
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print 'Job: {i:>4} {job_name}/{job_id}'.format(
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i=job_index,
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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 self.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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class RunPrinter(JobProcessor):
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def __init__(self):
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super(RunPrinter, self).__init__()
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self.runs = list()
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def process_job(self, job_id):
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run = self.jobs[job_id]['job_config']['name']
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if run not in self.runs:
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self.runs.append(run)
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print run
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class JobDeleter(JobProcessor):
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def __init__(self, pattern):
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self.pattern = pattern
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super(JobDeleter, self).__init__()
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def add_job(self, job_id, job_config, job_obj=None):
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job_name = job_config['name']
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if self.pattern in job_name:
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super(JobDeleter, self).add_job(job_id, job_config, job_obj)
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def process_job(self, job_id):
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job_config = self.jobs[job_id]['job_config']
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job_name = job_config['name']
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print 'Deleting {job_name}/{job_id}'.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_obj = self.jobs[job_id].get('job_obj')
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if job_obj:
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job_obj.delete()
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report.try_delete_jobs(job_name, job_id)
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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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JobDeleter(delete))
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elif runs:
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walk_jobs(connection, machine_type,
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RunPrinter())
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else:
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walk_jobs(connection, machine_type,
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JobPrinter(show_desc=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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