最近在写一个批量巡检工具，利用ansible将脚本推到各个机器上执行，然后将执行的结果以json格式返回来。
如下所示：
# ansible node2 -m script -a /root/python/health_check.py
node2 | SUCCESS => {
"changed": true,
"rc": 0,
"stderr": "Shared connection to 192.168.244.20 closed.\r\n",
"stdout": "{'cpu_iowait': '0.00', 'swap_out': 0, 'cpu_usr': '0.00', 'cpu_idle': '100.00', 'swap_total': '1999', 'swap_used': '78'
, 'load_average_5': '0.11', 'mem_util': '92.0', 'uptime': '5', 'load_average_1': '0.03', 'cpu_sys': '0.00', 'mem_total': '475', 'swap_in': 0, 'load_average_15': '0.06', 'disk': ['Filesystem Size Used Avail Use% Mounted on\\n', '/dev/sda3 18G 8.6G 8.1G 52% /\\n', 'tmpfs 238M 0 238M 0% /dev/shm\\n', '/dev/sda1 190M 27M 154M 15% /boot\\n'], 'numa': '1'}\r\n",
"stdout_lines": [ "{'cpu_iowait': '0.00', 'swap_out': 0, 'cpu_usr': '0.00', 'cpu_idle': '100.00', 'swap_total': '1999', 'swap_used': '78', 'loa
d_average_5': '0.11', 'mem_util': '92.0', 'uptime': '5', 'load_average_1': '0.03', 'cpu_sys': '0.00', 'mem_total': '475', 'swap_in': 0, 'load_average_15': '0.06', 'disk': ['Filesystem Size Used Avail Use% Mounted on\\n', '/dev/sda3 18G 8.6G 8.1G 52% /\\n', 'tmpfs 238M 0 238M 0% /dev/shm\\n', '/dev/sda1 190M 27M 154M 15% /boot\\n'], 'numa': '1'}" ]
}
然后将结果重定向到一个文本文件中，再通过另外一个脚本，对该文本文件进行解析汇总，最后实现的结果如下：
ip uptime cpu_usr cpu_sys cpu_iowait cpu_idle load_average_1 load_average_5 ...
192.168.244.30 24 0 0 6 94 0.02 0.08 ...
192.168.244.20 24 0 0 0 100 0 0.01 ...
但总感觉这种方式有点low，对返回结果进行解析，这似乎是一个比较普遍的需求吧？
没道理，官方会对这种需求视而不见的，其实，官方提供了一个callback插件，来实现回调功能，里面定义了若干场景，譬如主机不可达，执行任务失败，执行任务成功等，分别对应不同的方法，这样就可以实现在不同的场景触发不同的操作，譬如，如果执行playbook失败了就发送邮件等，执行成功了将返回的结果保存到数据库中。
官方给了一个样例，具体可见：https://github.com/ansible/ansible/blob/devel/lib/ansible/plugins/callback/log_plays.py
基于上面这个样例，自己进行了定制性开发。本来想在callback插件中实现所有功能，但callback插件调试相当麻烦，不允许使用print函数，而且如果出现问题了，譬如列表下标越界，也只是在执行ansible时给出报错信息，并没有指出具体的报错行数。
最后，放弃了自己ALL IN ONE的想法，只是将返回的结果解析后保存到sqlite3数据库中，后续再基于数据库中的数据进行汇总。
代码如下：
from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
import os
import time
import json
import sqlite3
from ansible.module_utils._text import to_bytes
from ansible.plugins.callback import CallbackBase
class CallbackModule(CallbackBase):
"""
logs playbook results, per host, in /var/log/ansible/hosts
"""
CALLBACK_VERSION = 2.0
CALLBACK_TYPE = 'notification'
CALLBACK_NAME = 'performance_check'
CALLBACK_NEEDS_WHITELIST = False
def __init__(self):
super(CallbackModule, self).__init__()
def runner_on_failed(self, host, res, ignore_errors=False):
pass
def runner_on_ok(self, host, res):
performance_data=PerformanceData()
create_table_sql = 'CREATE TABLE performance_data(ip varchar(20) primary key, uptime varchar(20),cpu_usr DECIMAL,cpu_sys DECI
MAL, cpu_iowait DECIMAL,cpu_idle DECIMAL,load_average_1 DECIMAL,load_average_5 DECIMAL,load_average_15 DECIMAL, mem_total INTEGER,mem_util DECIMAL,swap_total INTEGER,swap_used INTEGER,swap_in INTEGER,swap_out INTEGER,
numa TINYINT)'
insert_sql = 'insert into performance_data values (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)' insert_value = str_to_json(host,res)
performance_data.create_table(create_table_sql)
performance_data.insert_command(insert_sql,insert_value)
performance_data.quit()
def runner_on_skipped(self, host, item=None):
#self.log(host, 'SKIPPED', '...')
pass
def runner_on_unreachable(self, host, res):
#self.log(host, 'UNREACHABLE', res)
pass
def runner_on_async_failed(self, host, res, jid):
#self.log(host, 'ASYNC_FAILED', res)
pass
def playbook_on_import_for_host(self, host, imported_file):
pass
def playbook_on_not_import_for_host(self, host, missing_file):
pass
class PerformanceData():
def __init__(self):
self.conn = sqlite3.connect("/tmp/data.db")
self.cursor = self.conn.cursor()
def create_table(self,create_table_sql):
self.cursor.execute(create_table_sql)
def insert_command(self,insert_sql,insert_value):
self.cursor.execute(insert_sql,insert_value)
def query(self,query_sql):
self.cursor.execute(query_sql)
results=self.cursor.fetchall()
return results
def quit(self):
self.conn.commit()
self.conn.close()
def str_to_json(host,res):
result= res["stdout"].strip(" ").replace("'",'"').strip('\n').strip('"')
results= '{"'+host+'":'+result+'}'
result_with_host = json.loads(results)
value=result_with_host[host]
return (host,value['uptime'],float(value['cpu_usr']),float(value['cpu_sys']),float(value['cpu_iowait']),
float(value['cpu_idle']), float(value['load_average_1']), float(value['load_average_5']), float(value['load_average_15
']), int(value['mem_total']), float(value['mem_util']),int(value['swap_total']),int(value['swap_used']),int(value['swap_in'
]), int(value['swap_out']), int(value['numa'])
)
这里一并附上，上述解析文本的脚本，似乎更能实现我ALL IN ONE的想法，哈哈~
#coding: utf8
import re,json,sqlite3
def get_ip_success():
with open(r'C:\Users\Administrator\Desktop\2.txt') as f:
ip_unreachable = []
ip_failed = []
ip_success=[]
line_num=0
for line in f.readlines():
if re.search('UNREACHABLE', line):
ip=line.split()[0]
ip_unreachable.append(ip)
flag=0
elif re.search('FAILED',line):
ip = line.split()[0]
ip_failed.append(ip)
flag=0
elif re.search('SUCCESS',line):
ip = line.split()[0]
flag=1
line_num=1
elif flag == 1 and line_num == 7:
line= line.strip(" ").replace("'",'"').strip('\n').strip('"')
stdout_lines= '{"'+ip+'":'+line+'}'
stdout_lines_with_ip = json.loads(stdout_lines)
ip_success.append(stdout_lines_with_ip)
line_num =line_num + 1
return ip_success
def os_status_generator(ip_success):
for os_status in ip_success:
for key,value in os_status.iteritems():
yield (key,value['uptime'],float(value['cpu_usr']),float(value['cpu_sys']),float(value['cpu_iowait']),
float(value['cpu_idle']), float(value['load_average_1']), float(value['load_average_5']), float(value['load_average_15']),
int(value['mem_total']), float(value['mem_util']),int(value['swap_total']),int(value['swap_used']),int(value['swap_in']),
int(value['swap_out']), int(value['numa'])
)
class OsStatus():
def __init__(self,ip_success):
try:
self.conn = sqlite3.connect(":memory:")
self.cursor = self.conn.cursor()
self.cursor.execute('''CREATE TABLE os_status
(ip varchar(20) primary key, uptime varchar(20),cpu_usr DECIMAL,cpu_sys DECIMAL,cpu_iowait DECIMAL,cpu_idle DECIMAL,
load_average_1 DECIMAL,load_average_5 DECIMAL,load_average_15 DECIMAL,mem_total INTEGER,mem_util DECIMAL,
swap_total INTEGER,swap_used INTEGER,swap_in INTEGER,swap_out INTEGER,numa TINYINT)''')
self.cursor.executemany("insert into os_status values (?,?,?,?,?,?,?,?,?,?,?,?,?,?,?,?)",os_status_generator(ip_success) )
except Exception as e:
print e;
def query(self,sql):
self.cursor.execute(sql)
results=self.cursor.fetchall()
column_size=len(results[0])
column_name= [column[0] for column in self.cursor.description]
for i in range(column_size):
print column_name[i].ljust(15),
for each_result in results:
for i in range(column_size):
print str(each_result[i]).ljust(15),
def quit(self):
try:
self.cursor.close()
self.conn.close()
except Exception as e:
print e;
ip_success=get_ip_success()
os_status=OsStatus(ip_success)
sql = "select * from os_status"
os_status.query(sql)
最后，再提一下ansible中如何开启callback插件功能，默认是关闭的。
开启两个选项：
callback_plugins = /usr/share/ansible/plugins/callback
bin_ansible_callbacks = True
这两个是必需的，另外一个选项是
callback_whitelist = performance_check
其中，performance_check对应的是上面callback插件中定义的“CALLBACK_NAME”，
另一个相关参数是“CALLBACK_NEEDS_WHITELIST”，如果设置为False，则无需设置callback_whitelist选项，反之，则必须在callback_whitelist选项中指定“CALLBACK_NAME”。