Skip to main content

High level SSH command execution

Project description

To find out what’s new in this version of Fabric, please see the changelog.

What is Fabric?

Fabric is a high level Python (2.7, 3.4+) library designed to execute shell commands remotely over SSH, yielding useful Python objects in return:

>>> from fabric import Connection
>>> result = Connection('web1.example.com').run('uname -s')
>>> msg = "Ran {.command!r} on {.host}, got this stdout:\n{.stdout}"
>>> print(msg.format(result))
Ran "uname -s" on web1.example.com, got this stdout:
Linux

It builds on top of Invoke (subprocess command execution and command-line features) and Paramiko (SSH protocol implementation), extending their APIs to complement one another and provide additional functionality.

How is it used?

Core use cases for Fabric include (but are not limited to):

  • Single commands on individual hosts:

    >>> result = Connection('web1').run('hostname')
    web1
    >>> result
    <Result cmd='hostname' exited=0>
  • Single commands across multiple hosts (via varying methodologies: serial, parallel, etc):

    >>> result = SerialGroup('web1', 'web2').run('hostname')
    web1
    web2
    >>> result
    {<Connection host=web1>: <Result cmd='whoami' exited=0>, ...}
  • Python code blocks (functions/methods) targeted at individual connections:

    >>> def disk_free(c):
    >>>     uname = c.run('uname -s', hide=True)
    >>>     if 'Linux' in uname:
    ...         command = "df -h / | tail -n1 | awk '{print $5}'"
    ...         return c.run(command, hide=True).stdout.strip()
    ...     err = "No idea how to get disk space on {}!".format(uname)
    ...     raise Exit(err)
    ...
    >>> disk_free(Connection('web1'))
    '33%'
  • Python code blocks on multiple hosts:

    >>> def disk_free(c):
    ...     # same as above!
    ...
    >>> {c: disk_free(c) for c in SerialGroup('web1', 'web2', 'db1')}
    {<Connection host=web1>: '33%', <Connection host=web2>: '17%', ...}

In addition to these library-oriented use cases, Fabric makes it easy to integrate with Invoke’s command-line task functionality, invoking via a fab binary stub:

  • Python functions, methods or entire objects can be used as CLI-addressable tasks, e.g. fab deploy;

  • Tasks may indicate other tasks to be run before or after they themselves execute (pre- or post-tasks);

  • Tasks are parameterized via regular GNU-style arguments, e.g. fab deploy --env=prod -d;

  • Multiple tasks may be given in a single CLI session, e.g. fab build deploy;

  • Much more - all other Invoke functionality is supported - see its documentation for details.

I’m a user of Fabric 1, how do I upgrade?

We’ve packaged modern Fabric in a manner that allows installation alongside Fabric 1, so you can upgrade at whatever pace your use case requires. There are multiple possible approaches – see our detailed upgrade documentation <http://fabfile.org/en/latest/upgrading.html> for details.

Download files

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

Source Distribution

fabric2-2.0.0.tar.gz (30.9 kB view details)

Uploaded Source

Built Distribution

fabric2-2.0.0-py2-none-any.whl (38.2 kB view details)

Uploaded Python 2

File details

Details for the file fabric2-2.0.0.tar.gz.

File metadata

  • Download URL: fabric2-2.0.0.tar.gz
  • Upload date:
  • Size: 30.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for fabric2-2.0.0.tar.gz
Algorithm Hash digest
SHA256 83d3340be419ca6cad51daf46f67ca5be3f74a97c277d2d12f0c92471fd05f2b
MD5 f109ba501c5fbf95e2e2e638e1965216
BLAKE2b-256 78f9a05f6d67e60dc009262579ed54fafe39b7aae6f6571435d56a7dfdf813cd

See more details on using hashes here.

File details

Details for the file fabric2-2.0.0-py2-none-any.whl.

File metadata

File hashes

Hashes for fabric2-2.0.0-py2-none-any.whl
Algorithm Hash digest
SHA256 ecc93bd55c92806b84afb3233dbc29612e6f8ec0b81da7437ca395a8b889362d
MD5 1b41d72ad802864da5046527d48f1d53
BLAKE2b-256 f3be6828642b2dccc1ca2aa0b0c141d679e65680a2311dbf8ae3c2cc396e12b6

See more details on using hashes here.

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