• Ansible Runner Python Example
• Running Ansible From Python
• Ansible Runner Python Example Pdf
• Ansible Python Api Example
• Python Ansible Playbook

In this post, we will learn how to run a single Ansible automation task using an ad hoc command and explain some use cases for ad hoc commands.

This is a task runner that serves as a higher-level automation layer to ansible. The script expects an ansible-playbook file as the task manifest. By default, this is a file named 'Taskfile.yaml' in the current working directory. The inspiration for the tool comes from the gnu make command, which operates in similar fashion, i.e. I have an ansible server that I find works fine, but when I try to run a python script on the deployed servers I get no such file or directory, even though I visually confirm they are there.

Running ad hoc Commands with Ansible

1. The following are 17 code examples for showing how to use ansible.playbook.play.Play.These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.
2. If your tools support REST API, there are a few things to know which makes it much easier to get your module running fine with Ansible. These few things are outlined below. REST APIs and Python libraries in Ansible modules. According to Wikipedia, REST is: the software architectural style of the World Wide Web.
3. The following are 17 code examples for showing how to use ansible.playbook.play.Play.These examples are extracted from open source projects. You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example.

An ad hoc command is a way of executing a single Ansible task quickly, one that you do not need to save to run again later. They are simple, online operations that can be run without writing a playbook. Ad hoc commands are useful for quick tests and changes. For example, you can use an ad hoc command to make sure that a certain line exists in the /etc/hosts file on a group of servers. You could use another ad hoc command to efficiently restart a service on many different machines or to ensure that a particular software package is up-to-date.

Ad hoc commands are very useful for quickly performing simple tasks with Ansible. They do have their limits, and in general, you will want to use Ansible Playbooks to realize the full power of Ansible. In many situations, however, ad hoc commands are exactly the tool you need to perform simple tasks quickly.

Running Ad Hoc Commands

Use the ansible command to run ad hoc commands:

The host-pattern argument is used to specify the managed hosts on which the ad hoc command should be run. It could be a specific managed host or host group in the inventory. You have already seen this used in conjunction with the –list-hosts option, which shows you which hosts are matched by a particular host pattern. You have also already seen that you can use the -i option to specify a different inventory location to use than the default in the current Ansible configuration file.

The -m option takes as an argument the name of the module that Ansible should run on the targeted hosts. Modules are small programs that are executed to implement your task. Some modules need no additional information, but others need additional arguments to specify the details of their operation. The -a option takes a list of those arguments as a quoted string.

One of the simplest ad hoc commands uses the ping module. This module does not do an ICMP ping, but checks to see if you can run Python-based modules on managed hosts. For example, the following ad hoc command determines whether all managed hosts in the inventory can run standard modules:

Performing Tasks with Modules Using Ad Hoc Commands

Modules are the tools that ad hoc commands use to accomplish tasks. Ansible provides hundreds of modules that do different things. You can usually find a tested, special-purpose module that does what you need as part of the standard installation. The ansible-doc -l command lists all modules installed on a system. You can use ansible- doc to view the documentation of particular modules by name, and find information about what arguments the modules take as options. For example, the following command displays documentation for the ping module:

The following is a list of useful modules as examples. Many others exist.

Files modules

• copy: Copy a local file to the managed host.
• file: Set permissions and other properties of files.
• lineinfile: Ensure a particular line is or is not in a file.
• synchronize: Synchronize content using rsync.

Software package modules

Ansible Runner Python Example

• package: Manage packages using autodetected package manager native to the operating system.
• yum: Manage packages using the YUM package manager.
• apt: Manage packages using the APT package manager.
• dnf: Manage packages using the DNF package manager.
• gem: Manage Ruby gems.
• pip: Manage Python packages from PyPI.

System modules

• firewalld: Manage arbitrary ports and services using firewalld.
• reboot: Reboot a machine.
• service: Manage services.
• user: Add, remove, and manage user accounts.

Net Tools modules

nmcli: Manage networking.

Most modules take arguments. You can find the list of arguments available for a module in the module’s documentation. Ad hoc commands pass arguments to modules using the -a option. When no argument is needed, omit the -a option from the ad hoc command. If multiple arguments need to be specified, supply them as a quoted space-separated list. For example, the following ad hoc command uses the user module to ensure that the newbie user exists and has UID 4000 on servera.lab.example.com:

Most modules are idempotent, which means that they can be run safely multiple times, and if the system is already in the correct state, they do nothing. For example, if you run the previous ad hoc command again, it should report no change:

Running Arbitrary Commands on Managed Hosts

The command module allows administrators to run arbitrary commands on the command line of managed hosts. The command to be run is specified as an argument to the module using the -a option. For example, the following command runs the hostname command on the managed hosts referenced by the mymanagedhosts host pattern.

The previous ad hoc command example returned two lines of output for each managed host. The first line is a status report, showing the name of the managed host that the ad hoc operation ran on, as well as the outcome of the operation. The second line is the output of the command executed remotely using the Ansible command module.

For better readability and parsing of ad hoc command output, administrators might find it useful to have a single line of output for each operation performed on a managed host. Use the -o option to display the output of Ansible ad hoc commands in a single line format.

The command module allows administrators to quickly execute remote commands on managed hosts. These commands are not processed by the shell on the managed hosts. As such, they cannot access shell environment variables or perform shell operations, such as redirection and piping.

For situations where commands require shell processing, administrators can use the shell module. Like the command module, you pass the commands to be executed as arguments to the module in an ad hoc command. Ansible then executes the command remotely on the managed hosts. Unlike the command module, the commands are processed through a shell on the managed hosts. Therefore, shell environment variables are accessible and shell operations such as redirection and piping are also available for use.

The following example illustrates the difference between the command and shell modules. If you try to execute the built-in Bash command set with these two modules, it only succeeds with the shell module.

Both command and shell modules require a working Python installation on the managed host. A third module, raw, can run commands directly using the remote shell, bypassing the module subsystem. This is useful when managing systems that cannot have Python installed (for example, a network router). It can also be used to install Python on a host.

Configuring Connections for Ad Hoc Commands

The directives for managed host connections and privilege escalation can be configured in the Ansible configuration file, and they can also be defined using options in ad hoc commands. When defined using options in ad hoc commands, they take precedence over the directive configured in the Ansible configuration file. The following table shows the analogous command-line options for each configuration file directive.

Before configuring these directives using command-line options, their currently defined values can be determined by consulting the output of ansible –help.

Released:

Pytest fixture which runs given ansible playbook file.

Project description

This repository contains pytest_ plugin_ which provides an easy wayto run particular ansible playbooks_ during setup phase of a test case.This is useful whenyou already have some playbook files you would like to reuse during test setupor plan to maintain test setup in ansible playbooks for you to be able touse it both during test run setup and directly via ansible for other purposes(automatically during deployment or manually when needed).

Compared with pytest-ansible_ module, this module doesn't allow you toinspect ansible facts_ or details about results of each ansible task, nordoest it allow to specify and execute an ansible task directly. So if you needany of that, go for pytest-ansible_ instead. This plugin provides the onlymissing ansible feature which pytest-ansible_ is not supposed to provide - torun ansible playbook file directly.

Download need for speed underground 3 pc bagas31. Initial structure of this repository was generated with Cookiecutter_along with @hackebrot's Cookiecutter-pytest-plugin template.

Features

Notes

• The plugin provides ansible_playbookpytest fixture_, which allowsone to run one or more ansible playbooks during test setup or tear down of atest case.

• It also provides context manager_ pytest_ansible_playbook.runner()which can be used to build custom fixtures with any scope_ or to executesetup and/or teardown playbooks in a code of a test case.

• It's compatible with python3 (playbooks are executed viarunning ansible-playbook in subprocess instead of using apiof ansible python module).

• Doesn't allow you to configure ansible in any way, all changes of ansiblesetup needs to be done in ansible playbooks, variable or config files.This encourages you to maintain a clear separation of ansible playbooksand the tests.

Key features

1. An option to run arbitrary playbooks in the middle of the test:

2. An option to add teardown playbooks in the middle of the test:

3. Return values have been added to every playbook run. The return value respects playbook execution order and for every host:

4. A test can pass arguments to the playbooks it runs. Thus the playbook has changed from string to dictionary:

5. Mark setup / teardown syntax:

Now the pytest plugin uses a separate module: playbook_runner.https://github.com/final-israel/playbook_runnerThis is because other tools may want to also run playbooks not necessarily as a part of the pytest framework.

Requirements

Ansible should be installed (so that ansible-playbook binary isavailable in PATH). Use version provided by packaging system of your operationsystem.

Installation

You can either install stable release from PyPI or use latest development version from master branch.

• Installing stable release - You can install pytest-ansible-playbook-runner via pip from PyPI:

• Installing latest development version

The suggested way to install from sources of current master branch is via python virtual enviroment:

Note that you can use virtualenvwrapper to simplify this workflow.

Usage

When the plugin is installed, you can use the following command-lineparameters::

Where <path_to_directory_with_playbooks> is a directory which contains ansible playbooks and any other ansible files such as configuration or roles if needed. A ansible-playbook process will be ableto access the files stored there, since this directory is set as cwd (current working directory) of the ansible process.

The <path_to_inventory_file> is file with ansible inventory. You can use either an absolute path or a relative path within the ansible directory specified via the 1st option. Age of empires 2 xbox game pass. Note that the option names were chosen this way so that it doesn't conflict with pytest-ansible plugin.

Example of simple custom fixture:

And here is an example of using the fixture inside a test case directly:

Contributing

Contributions are very welcome. Tests can be run with tox, please ensure the coverage at least stays the same before you submit a pull request.

Running Ansible From Python

License

Distributed under the terms of the Apache License 2.0 license, pytest-ansible-playbook-runner is free and open source software

Issues

If you encounter any problems, please file an issue along with a detailed description.

. file an issue: https://github.com/final-israel/pytest-ansible-playbook-runner/issues. Cookiecutter: https://github.com/audreyr/cookiecutter. @hackebrot: https://github.com/hackebrot. cookiecutter-pytest-plugin: https://github.com/pytest-dev/cookiecutter-pytest-plugin. pytest: http://docs.pytest.org/en/latest/. pytest fixture: http://doc.pytest.org/en/latest/fixture.html. pytest markers: http://doc.pytest.org/en/latest/example/markers.html. plugin: http://doc.pytest.org/en/latest/plugins.html. tox: https://tox.readthedocs.io/en/latest/. pip: https://pypi.python.org/pypi/pip/. PyPI: https://pypi.python.org/pypi. stable release from PyPI: https://pypi.org/project/pytest-ansible-playbook-runner/. python virtual enviroment: https://virtualenv.pypa.io/en/stable/. virtualenvwrapper: https://virtualenvwrapper.readthedocs.io/en/latest/. pytest-ansible: https://pypi.python.org/pypi/pytest-ansible. ansible playbooks: https://docs.ansible.com/ansible/playbooks.html. ansible facts: https://docs.ansible.com/ansible/playbooks_variables.html#information-discovered-from-systems-facts. ansible inventory: https://docs.ansible.com/ansible/intro_inventory.html. Apache License 2.0: http://www.apache.org/licenses/LICENSE-2.0. context manager: https://docs.python.org/3.6/library/stdtypes.html#context-manager-types. scope: https://docs.pytest.org/en/latest/fixture.html#scope-sharing-a-fixture-instance-across-tests-in-a-class-module-or-session. pytest doesn't expect fixtures to have markers: https://github.com/pytest-dev/pytest/issues/3664

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