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community.general/plugins/callback/cgroup_memory_recap.py
Felix Fontein cac55beb4f
Type options of callback plugins (#8628)
Type options of callback plugins.
2024-07-21 21:05:34 +02:00

120 lines
4.2 KiB
Python

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