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https://github.com/ansible-collections/community.general.git
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a89ca23ecc
Type options of callback plugins (#8628)
Type options of callback plugins.
(cherry picked from commit cac55beb4f)
Co-authored-by: Felix Fontein <felix@fontein.de>
120 lines
4.2 KiB
Python
120 lines
4.2 KiB
Python
# -*- coding: utf-8 -*-
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# Copyright (c) 2018 Matt Martz <matt@sivel.net>
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# GNU General Public License v3.0+ (see LICENSES/GPL-3.0-or-later.txt or https://www.gnu.org/licenses/gpl-3.0.txt)
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# SPDX-License-Identifier: GPL-3.0-or-later
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# Make coding more python3-ish
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from __future__ import (absolute_import, division, print_function)
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__metaclass__ = type
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DOCUMENTATION = '''
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author: Unknown (!UNKNOWN)
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name: cgroup_memory_recap
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type: aggregate
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requirements:
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- whitelist in configuration
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- cgroups
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short_description: Profiles maximum memory usage of tasks and full execution using cgroups
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description:
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- This is an ansible callback plugin that profiles maximum memory usage of ansible and individual tasks, and displays a recap at the end using cgroups.
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notes:
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- Requires ansible to be run from within a cgroup, such as with C(cgexec -g memory:ansible_profile ansible-playbook ...).
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- This cgroup should only be used by ansible to get accurate results.
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- To create the cgroup, first use a command such as C(sudo cgcreate -a ec2-user:ec2-user -t ec2-user:ec2-user -g memory:ansible_profile).
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options:
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max_mem_file:
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required: true
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description: Path to cgroups C(memory.max_usage_in_bytes) file. Example V(/sys/fs/cgroup/memory/ansible_profile/memory.max_usage_in_bytes).
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type: str
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env:
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- name: CGROUP_MAX_MEM_FILE
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ini:
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- section: callback_cgroupmemrecap
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key: max_mem_file
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cur_mem_file:
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required: true
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description: Path to C(memory.usage_in_bytes) file. Example V(/sys/fs/cgroup/memory/ansible_profile/memory.usage_in_bytes).
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type: str
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env:
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- name: CGROUP_CUR_MEM_FILE
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ini:
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- section: callback_cgroupmemrecap
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key: cur_mem_file
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'''
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import time
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import threading
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from ansible.plugins.callback import CallbackBase
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class MemProf(threading.Thread):
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"""Python thread for recording memory usage"""
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def __init__(self, path, obj=None):
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threading.Thread.__init__(self)
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self.obj = obj
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self.path = path
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self.results = []
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self.running = True
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def run(self):
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while self.running:
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with open(self.path) as f:
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val = f.read()
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self.results.append(int(val.strip()) / 1024 / 1024)
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time.sleep(0.001)
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class CallbackModule(CallbackBase):
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CALLBACK_VERSION = 2.0
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CALLBACK_TYPE = 'aggregate'
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CALLBACK_NAME = 'community.general.cgroup_memory_recap'
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CALLBACK_NEEDS_WHITELIST = True
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def __init__(self, display=None):
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super(CallbackModule, self).__init__(display)
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self._task_memprof = None
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self.task_results = []
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def set_options(self, task_keys=None, var_options=None, direct=None):
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super(CallbackModule, self).set_options(task_keys=task_keys, var_options=var_options, direct=direct)
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self.cgroup_max_file = self.get_option('max_mem_file')
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self.cgroup_current_file = self.get_option('cur_mem_file')
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with open(self.cgroup_max_file, 'w+') as f:
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f.write('0')
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def _profile_memory(self, obj=None):
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prev_task = None
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results = None
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try:
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self._task_memprof.running = False
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results = self._task_memprof.results
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prev_task = self._task_memprof.obj
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except AttributeError:
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pass
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if obj is not None:
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self._task_memprof = MemProf(self.cgroup_current_file, obj=obj)
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self._task_memprof.start()
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if results is not None:
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self.task_results.append((prev_task, max(results)))
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def v2_playbook_on_task_start(self, task, is_conditional):
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self._profile_memory(task)
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def v2_playbook_on_stats(self, stats):
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self._profile_memory()
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with open(self.cgroup_max_file) as f:
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max_results = int(f.read().strip()) / 1024 / 1024
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self._display.banner('CGROUP MEMORY RECAP')
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self._display.display('Execution Maximum: %0.2fMB\n\n' % max_results)
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for task, memory in self.task_results:
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self._display.display('%s (%s): %0.2fMB' % (task.get_name(), task._uuid, memory))
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