Skip to main content

Execution abstraction layer for high-level system scripts.

Project description

xal is a Python library which provides an high-level API to interact with system resources (files, commands, …) and low-level execution via third-parties (stdlib, Fabric, Salt, …).

The concept is you open a session in system, then you run commands within the session:

  • session is specific, it holds the execution context, it knows the low-level implementation.

  • commands use a generic API. You could run the same commands in another session.

Example

Let’s initialize a session on local system:

>>> import xal
>>> local_session = xal.LocalSession()

In this session, we can manage files:

>>> path = local_session.path('hello-xal.txt')
>>> path.exists()
False
>>> written = path.open('w').write(u'Hello world!')
>>> path.exists()
True
>>> print path.open().read()
Hello world!
>>> path.unlink()
>>> path.exists()
False

We can also execute sh commands:

>>> result = local_session.sh.run(u"echo 'Goodbye!'")
>>> print result.stdout
Goodbye!
<BLANKLINE>

Now let’s make a function that does the same. It takes the session as input argument:

>>> def hello(session):
...     path = session.path('hello-xal.txt')
...     path.open('w').write(u"Hello world!")
...     print path.open().read()
...     path.unlink()
...     print session.sh.run(u"echo 'Goodbye!'").stdout

Of course, we can run it in local session:

>>> hello(local_session)
Hello world!
Goodbye!
<BLANKLINE>

What’s nice is that we can reuse the same function in another session. Let’s create a remote SSH session using Fabric…

>>> remote_session = xal.FabricSession(host='localhost')

… then just run the same function with this remote session:

>>> hello(remote_session)
Hello world!
Goodbye!
<BLANKLINE>

Motivations

xal ideas are:

  • Python users (including sysadmins and devops) have a consistent and unified API to write scripts that perform operations on system.

  • such scripts are portable, i.e. they can be executed in various environments. Whatever the operating system, whatever the protocol to connect to and communicate with the system…

  • Python community can share libraries that are compatible with tools such as Fabric, zc.buildout, Salt, Ansible…

  • it is easier to switch from one tool to another: reconfigure the session, don’t change the scripts. Develop scripts locally, test them remotely via Fabric, distribute them using Salt… or vice-versa.

Project’s status

Today: xal is a proof-of-concept. It focuses on sample implementation of basic features such as managing files and directories, or executing sh commands. The idea is that, as a Python user, you can give it a try and, if you like it, use it for simple tasks.

Tomorrow, depending on feedback from community, xal may improve or be deprecated. As xal’s author, I would like the following things to happen:

  • increased stability and performances for current features.

  • more execution contexts (i.e. sessions): Salt, Fabric as sudoer, …

  • more resources: users, system packages, …

  • better API, preferrably built as PEPs. Just as xal’s proof of concept tries to mimic pathlib, there could be a PEP related to every resource. Sh commands (a.k.a. replacement for subprocess) are an epic example.

As xal’s author, I can’t do it alone. If you’d like to help:

  • provide feedback. Do you like xal? What do you dislike in xal? Your feedback matters!

  • join the project on Github.

Ressources

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

xal-0.3.tar.gz (17.1 kB view hashes)

Uploaded Source

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page