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如何利用ansible callback插件對執行結果進行解析,ansiblecallback

如何利用ansible callback插件對執行結果進行解析,ansiblecallback

如何利用ansible callback插件對執行結果進行解析,ansiblecallback


最近在寫一個批量巡檢工具,利用ansible將腳本推到各個機器上執行,然後將執行的結果以json格式返回來。

 

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'}" ] }

 

然後將結果重定向到一個文本文件中,再通過另外一個腳本,對該文本文件進行解析匯總,最後實現的結果如下:

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            ...           

 

但總感覺這種方式有點low,對返回結果進行解析,這似乎是一個比較普遍的需求吧?

 

沒道理,官方會對這種需求視而不見的,其實,官方提供了一個callback插件,來實現回調功能,裡面定義了若干場景,譬如主機不可達,執行任務失敗,執行任務成功等,分別對應不同的方法,這樣就可以實現在不同的場景觸發不同的操作,譬如,如果執行playbook失敗了就發送郵件等,執行成功了將返回的結果保存到數據庫中。

 

官方給了一個樣例,具體可見:https://github.com/ansible/ansible/blob/devel/lib/ansible/plugins/callback/log_plays.py

 

基於上面這個樣例,自己進行了定制性開發。本來想在callback插件中實現所有功能,但callback插件調試相當麻煩,不允許使用print函數,而且如果出現問題了,譬如列表下標越界,也只是在執行ansible時給出報錯信息,並沒有指出具體的報錯行數。

 

最後,放棄了自己ALL IN ONE的想法,只是將返回的結果解析後保存到sqlite3數據庫中,後續再基於數據庫中的數據進行匯總。

 

代碼如下:

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']) )

 

這裡一並附上,上述解析文本的腳本,似乎更能實現我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),
        print
        for each_result in results:
            for i in range(column_size):
                print str(each_result[i]).ljust(15),
            print

    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)

 

最後,再提一下ansible中如何開啟callback插件功能,默認是關閉的。

開啟兩個選項:

callback_plugins   = /usr/share/ansible/plugins/callback
bin_ansible_callbacks = True

這兩個是必需的,另外一個選項是

callback_whitelist = performance_check

其中,performance_check對應的是上面callback插件中定義的“CALLBACK_NAME”,

另一個相關參數是“CALLBACK_NEEDS_WHITELIST”,如果設置為False,則無需設置callback_whitelist選項,反之,則必須在callback_whitelist選項中指定“CALLBACK_NAME”。

 

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