芝麻HTTP：Ansible扩展

Ansible简介

 

Ansible是由Python开发的一个运维工具，由于工做须要接触到Ansible，常常会集成一些东西到Ansible，因此对Ansible的了解愈来愈多。

那Ansible究竟是什么呢？在个人理解中，原来须要登陆到服务器上，而后执行一堆命令才能完成一些操做。而Ansible就是来代替咱们去执行那些命令。而且能够经过Ansible控制多台机器，在机器上进行任务的编排和执行，在Ansible中称为playbook。

那Ansible是如何作到的呢？简单点说，就是Ansible将咱们要执行的命令生成一个脚本，而后经过sftp将脚本上传到要执行命令的服务器上，而后在经过ssh协议，执行这个脚本并将执行结果返回。

那Ansible具体是怎么作到的呢？下面从模块和插件来看一下Ansible是如何完成一个模块的执行

PS：下面的分析都是在对Ansible有一些具体使用经验以后，经过阅读源代码进一步得出的执行结论，因此但愿在看本文时，是创建在对Ansible有必定了解的基础上，最起码对于Ansible的一些概念有了解，例如inventory，module，playbooks等

 

Ansible模块

 

模块是Ansible执行的最小单位，能够是由Python编写，也能够是Shell编写，也能够是由其余语言编写。模块中定义了具体的操做步骤以及实际使用过程当中所须要的参数

执行的脚本就是根据模块生成一个可执行的脚本。

那Ansible是怎么样将这个脚本上传到服务器上，而后执行获取结果的呢？

 

Ansible插件

connection插件

链接插件，根据指定的ssh参数链接指定的服务器，并切提供实际执行命令的接口

shell插件

命令插件，根据sh类型，来生成用于connection时要执行的命令

strategy插件

执行策略插件，默认状况下是线性插件，就是一个任务接着一个任务的向下执行，此插件将任务丢到执行器去执行。

action插件

动做插件，实质就是任务模块的全部动做，若是ansible的模块没有特别编写的action插件，默认状况下是normal或者async（这两个根据模块是否async来选择），normal和async中定义的就是模块的执行步骤。例如，本地建立临时文件，上传临时文件，执行脚本，删除脚本等等，若是想在全部的模块中增长一些特殊步骤，能够经过增长action插件的方式来扩展。

 

Ansible执行模块流程

 

1. ansible命令实质是经过ansible/cli/adhoc.py来运行，同时会收集参数信息
   1. 设置Play信息，而后经过TaskQueueManager进行run，
   2. TaskQueueManager须要Inventory(节点仓库)，variable_manager(收集变量),options(命令行中指定的参数),stdout_callback(回调函数)
2. 在task_queue_manager.py中找到run中
   1. 初始化时会设置队列
   2. 会根据options，，variable_manager，passwords等信息设置成一个PlayContext信息(playbooks/playcontext.py)
   3. 设置插件(plugins)信息callback_loader(回调), strategy_loader(执行策略), module_loader(任务模块)
   4. 经过strategy_loader（strategy插件）的run（默认的strategy类型是linear，线性执行），去按照顺序执行全部的任务（执行一个模块，可能会执行多个任务）
   5. 在strategy_loader插件run以后，会判断action类型。若是是meta类型的话会单独执行(不是具体的ansible模块时)，而其余模块时，会加载到队列_queue_task
   6. 在队列中会调用WorkerProcess去处理，在workerproces实际的run以后，会使用TaskExecutor进行执行
   7. 在TaskExecutor中会设置connection插件，而且根据task的类型（模块。或是include等）获取action插件，就是对应的模块，若是模块有自定义的执行，则会执行自定义的action，若是没有的会使用normal或者async，这个是根据是不是任务的async属性来决定
   8. 在Action插件中定义着执行的顺序，及具体操做，例如生成临时目录，生成临时脚本，因此要在统一的模式下，集成一些额外的处理时，能够重写Action的方法
   9. 经过Connection插件来执行Action的各个操做步骤

扩展Ansible实例

 

执行节点Python环境扩展

实际需求中，咱们扩展的一些Ansible模块须要使用三方库，但每一个节点中安装这些库有些不易于管理。ansible执行模块的实质就是在节点的python环境下执行生成的脚本，因此咱们采起的方案是，指定节点上的Python环境，将局域网内一个python环境做为nfs共享。经过扩展Action插件，增长节点上挂载nfs，待执行结束后再将节点上的nfs卸载。具体实施步骤以下：

扩展代码：

重写ActionBase的execute_module方法

# execute_module

from __future__ import (absolute_import, division, print_function)
__metaclass__ = type

import json
import pipes

from ansible.compat.six import text_type, iteritems

from ansible import constants as C
from ansible.errors import AnsibleError
from ansible.release import __version__

try:
    from __main__ import display
except ImportError:
    from ansible.utils.display import Display
    display = Display()


class MagicStackBase(object):

    def _mount_nfs(self, ansible_nfs_src, ansible_nfs_dest):
        cmd = ['mount',ansible_nfs_src, ansible_nfs_dest]
        cmd = [pipes.quote(c) for c in cmd]
        cmd = ' '.join(cmd)
        result = self._low_level_execute_command(cmd=cmd, sudoable=True)
        return result

    def _umount_nfs(self, ansible_nfs_dest):
        cmd = ['umount', ansible_nfs_dest]
        cmd = [pipes.quote(c) for c in cmd]
        cmd = ' '.join(cmd)
        result = self._low_level_execute_command(cmd=cmd, sudoable=True)
        return result

    def _execute_module(self, module_name=None, module_args=None, tmp=None, task_vars=None, persist_files=False, delete_remote_tmp=True):
        '''
        Transfer and run a module along with its arguments.
        '''

        # display.v(task_vars)

        if task_vars is None:
            task_vars = dict()

        # if a module name was not specified for this execution, use
        # the action from the task
        if module_name is None:
            module_name = self._task.action
        if module_args is None:
            module_args = self._task.args

        # set check mode in the module arguments, if required
        if self._play_context.check_mode:
            if not self._supports_check_mode:
                raise AnsibleError("check mode is not supported for this operation")
            module_args['_ansible_check_mode'] = True
        else:
            module_args['_ansible_check_mode'] = False

        # Get the connection user for permission checks
        remote_user = task_vars.get('ansible_ssh_user') or self._play_context.remote_user

        # set no log in the module arguments, if required
        module_args['_ansible_no_log'] = self._play_context.no_log or C.DEFAULT_NO_TARGET_SYSLOG

        # set debug in the module arguments, if required
        module_args['_ansible_debug'] = C.DEFAULT_DEBUG

        # let module know we are in diff mode
        module_args['_ansible_diff'] = self._play_context.diff

        # let module know our verbosity
        module_args['_ansible_verbosity'] = display.verbosity

        # give the module information about the ansible version
        module_args['_ansible_version'] = __version__

        # set the syslog facility to be used in the module
        module_args['_ansible_syslog_facility'] = task_vars.get('ansible_syslog_facility', C.DEFAULT_SYSLOG_FACILITY)

        # let module know about filesystems that selinux treats specially
        module_args['_ansible_selinux_special_fs'] = C.DEFAULT_SELINUX_SPECIAL_FS

        (module_style, shebang, module_data) = self._configure_module(module_name=module_name, module_args=module_args, task_vars=task_vars)
        if not shebang:
            raise AnsibleError("module (%s) is missing interpreter line" % module_name)

        # get nfs info for mount python packages
        ansible_nfs_src = task_vars.get("ansible_nfs_src", None)
        ansible_nfs_dest = task_vars.get("ansible_nfs_dest", None)

        # a remote tmp path may be necessary and not already created
        remote_module_path = None
        args_file_path = None
        if not tmp and self._late_needs_tmp_path(tmp, module_style):
            tmp = self._make_tmp_path(remote_user)

        if tmp:
            remote_module_filename = self._connection._shell.get_remote_filename(module_name)
            remote_module_path = self._connection._shell.join_path(tmp, remote_module_filename)
            if module_style in ['old', 'non_native_want_json']:
                # we'll also need a temp file to hold our module arguments
                args_file_path = self._connection._shell.join_path(tmp, 'args')

        if remote_module_path or module_style != 'new':
            display.debug("transferring module to remote")
            self._transfer_data(remote_module_path, module_data)
            if module_style == 'old':
                # we need to dump the module args to a k=v string in a file on
                # the remote system, which can be read and parsed by the module
                args_data = ""
                for k,v in iteritems(module_args):
                    args_data += '%s=%s ' % (k, pipes.quote(text_type(v)))
                self._transfer_data(args_file_path, args_data)
            elif module_style == 'non_native_want_json':
                self._transfer_data(args_file_path, json.dumps(module_args))
            display.debug("done transferring module to remote")

        environment_string = self._compute_environment_string()

        remote_files = None

        if args_file_path:
            remote_files = tmp, remote_module_path, args_file_path
        elif remote_module_path:
            remote_files = tmp, remote_module_path

        # Fix permissions of the tmp path and tmp files.  This should be
        # called after all files have been transferred.
        if remote_files:
            self._fixup_perms2(remote_files, remote_user)


        # mount nfs
        if ansible_nfs_src and ansible_nfs_dest:
            result = self._mount_nfs(ansible_nfs_src, ansible_nfs_dest)
            if result['rc'] != 0:
                raise AnsibleError("mount nfs failed!!! {0}".format(result['stderr']))

        cmd = ""
        in_data = None

        if self._connection.has_pipelining and self._play_context.pipelining and not C.DEFAULT_KEEP_REMOTE_FILES and module_style == 'new':
            in_data = module_data
        else:
            if remote_module_path:
                cmd = remote_module_path

        rm_tmp = None
        if tmp and "tmp" in tmp and not C.DEFAULT_KEEP_REMOTE_FILES and not persist_files and delete_remote_tmp:
            if not self._play_context.become or self._play_context.become_user == 'root':
                # not sudoing or sudoing to root, so can cleanup files in the same step
                rm_tmp = tmp

        cmd = self._connection._shell.build_module_command(environment_string, shebang, cmd, arg_path=args_file_path, rm_tmp=rm_tmp)
        cmd = cmd.strip()
        sudoable = True
        if module_name == "accelerate":
            # always run the accelerate module as the user
            # specified in the play, not the sudo_user
            sudoable = False


        res = self._low_level_execute_command(cmd, sudoable=sudoable, in_data=in_data)

        # umount nfs
        if ansible_nfs_src and ansible_nfs_dest:
            result = self._umount_nfs(ansible_nfs_dest)
            if result['rc'] != 0:
                raise AnsibleError("umount nfs failed!!! {0}".format(result['stderr']))

        if tmp and "tmp" in tmp and not C.DEFAULT_KEEP_REMOTE_FILES and not persist_files and delete_remote_tmp:
            if self._play_context.become and self._play_context.become_user != 'root':
                # not sudoing to root, so maybe can't delete files as that other user
                # have to clean up temp files as original user in a second step
                tmp_rm_cmd = self._connection._shell.remove(tmp, recurse=True)
                tmp_rm_res = self._low_level_execute_command(tmp_rm_cmd, sudoable=False)
                tmp_rm_data = self._parse_returned_data(tmp_rm_res)
                if tmp_rm_data.get('rc', 0) != 0:
                    display.warning('Error deleting remote temporary files (rc: {0}, stderr: {1})'.format(tmp_rm_res.get('rc'), tmp_rm_res.get('stderr', 'No error string available.')))

        # parse the main result
        data = self._parse_returned_data(res)

        # pre-split stdout into lines, if stdout is in the data and there
        # isn't already a stdout_lines value there
        if 'stdout' in data and 'stdout_lines' not in data:
            data['stdout_lines'] = data.get('stdout', u'').splitlines()

        display.debug("done with _execute_module (%s, %s)" % (module_name, module_args))
        return data

集成到normal.py和async.py中，记住要将这两个插件在ansible.cfg中进行配置

from __future__ import (absolute_import, division, print_function)
__metaclass__ = type
 
from ansible.plugins.action import ActionBase
from ansible.utils.vars import merge_hash
 
from common.ansible_plugins import MagicStackBase
 
 
class ActionModule(MagicStackBase, ActionBase):
 
    def run(self, tmp=None, task_vars=None):
        if task_vars is None:
            task_vars = dict()
 
        results = super(ActionModule, self).run(tmp, task_vars)
        # remove as modules might hide due to nolog
        del results['invocation']['module_args']
        results = merge_hash(results, self._execute_module(tmp=tmp, task_vars=task_vars))
        # Remove special fields from the result, which can only be set
        # internally by the executor engine. We do this only here in
        # the 'normal' action, as other action plugins may set this.
        #
        # We don't want modules to determine that running the module fires
        # notify handlers.  That's for the playbook to decide.
        for field in ('_ansible_notify',):
            if field in results:
                results.pop(field)
 
        return results

• 配置ansible.cfg，将扩展的插件指定为ansible须要的action插件
• 重写插件方法，重点是execute_module
• 执行命令中须要指定Python环境，将须要的参数添加进去nfs挂载和卸载的参数

ansible 51 -m mysql_db -a "state=dump name=all target=/tmp/test.sql" -i hosts -u root -v -e "ansible_nfs_src=172.16.30.170:/web/proxy_env/lib64/python2.7/site-packages ansible_nfs_dest=/root/.pyenv/versions/2.7.10/lib/python2.7/site-packages ansible_python_interpreter=/root/.pyenv/versions/2.7.10/bin/python"