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 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

fabric2-2.1.3.tar.gz (137.9 kB view details)

Uploaded Source

Built Distribution

fabric2-2.1.3-py2.py3-none-any.whl (46.0 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file fabric2-2.1.3.tar.gz.

File metadata

  • Download URL: fabric2-2.1.3.tar.gz
  • Upload date:
  • Size: 137.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No

File hashes

Hashes for fabric2-2.1.3.tar.gz
Algorithm Hash digest
SHA256 8b1a7569a5ad7560b6ae4c81285fef5ee9d473703150989fd6995057d19b2bd6
MD5 f3261e49f762ec79bc243b5711ac798b
BLAKE2b-256 a257be92809e0c976bae9419e5c3a82417b1da9c2d6dd49d6c7385fad5569c6a

See more details on using hashes here.

File details

Details for the file fabric2-2.1.3-py2.py3-none-any.whl.

File metadata

File hashes

Hashes for fabric2-2.1.3-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 07000b488d1a25015f49943a272aa3ea306c34b34e05aef8aebbe4bdeecd1951
MD5 e503feed465caf5b6611241a15f4e497
BLAKE2b-256 389a459d79df671120518fc8c6a72aebb76695d54a3d08b21bf82147705f24c1

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