salt/doc/ref/modules/index.rst

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.. _execution-modules:
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=================
Execution Modules
=================
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Salt execution modules are the functions called by the :command:`salt` command.
.. note::
Salt execution modules are different from state modules and cannot be
called directly within state files. You must use the :mod:`module <salt.states.module>`
state module to call execution modules within state runs.
.. seealso:: :ref:`Full list of builtin modules <all-salt.modules>`
Salt ships with many modules that cover a wide variety of tasks.
.. _writing-execution-modules:
Modules Are Easy to Write!
==========================
Writing Salt execution modules is straightforward.
A Salt execution modules is a Python or `Cython`_ module
placed in a directory called ``_modules/``
within the :conf_master:`file_roots` as specified by the master config file. By
default this is `/srv/salt/_modules` on Linux systems.
Modules placed in ``_modules/`` will be synced to the minions when any of the following
Salt functions are called:
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* :mod:`state.highstate <salt.modules.state.highstate>`
* :mod:`saltutil.sync_modules <salt.modules.saltutil.sync_modules>`
* :mod:`saltutil.sync_all <salt.modules.saltutil.sync_all>`
Note that a module's default name is its filename
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(i.e. ``foo.py`` becomes module ``foo``), but that its name can be overridden
by using a :ref:`__virtual__ function <virtual-modules>`.
If a Salt module has errors and cannot be imported, the Salt minion will continue
to load without issue and the module with errors will simply be omitted.
If adding a Cython module the file must be named ``<modulename>.pyx`` so that
the loader knows that the module needs to be imported as a Cython module. The
compilation of the Cython module is automatic and happens when the minion
starts, so only the ``*.pyx`` file is required.
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.. _`Cython`: http://cython.org/
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Zip Archives as Modules
=======================
Python 2.3 and higher allows developers to directly import zip archives containing Python code.
By setting :conf_minion:`enable_zip_modules` to ``True`` in the minion config, the Salt loader
will be able to import ``.zip`` files in this fashion. This allows Salt module developers to
package dependencies with their modules for ease of deployment, isolation, etc.
For a user, Zip Archive modules behave just like other modules. When executing a function from a
module provided as the file ``my_module.zip``, a user would call a function within that module
as ``my_module.<function>``.
Creating a Zip Archive Module
-----------------------------
A Zip Archive module is structured similarly to a simple `Python package`_. The ``.zip`` file contains
a single directory with the same name as the module. The module code traditionally in ``<module_name>.py``
goes in ``<module_name>/__init__.py``. The dependency packages are subdirectories of ``<module_name>/``.
Here is an example directory structure for the ``lumberjack`` module, which has two library dependencies
(``sleep`` and ``work``) to be included.
.. code-block:: bash
modules $ ls -R lumberjack
__init__.py sleep work
lumberjack/sleep:
__init__.py
lumberjack/work:
__init__.py
The contents of ``lumberjack/__init__.py`` show how to import and use these included libraries.
.. code-block:: python
# Libraries included in lumberjack.zip
from lumberjack import sleep, work
def is_ok(person):
''' Checks whether a person is really a lumberjack '''
return sleep.all_night(person) and work.all_day(person)
Then, create the zip:
.. code-block:: bash
modules $ zip -r lumberjack lumberjack
adding: lumberjack/ (stored 0%)
adding: lumberjack/__init__.py (deflated 39%)
adding: lumberjack/sleep/ (stored 0%)
adding: lumberjack/sleep/__init__.py (deflated 7%)
adding: lumberjack/work/ (stored 0%)
adding: lumberjack/work/__init__.py (deflated 7%)
modules $ unzip -l lumberjack.zip
Archive: lumberjack.zip
Length Date Time Name
-------- ---- ---- ----
0 08-21-15 20:08 lumberjack/
348 08-21-15 20:08 lumberjack/__init__.py
0 08-21-15 19:53 lumberjack/sleep/
83 08-21-15 19:53 lumberjack/sleep/__init__.py
0 08-21-15 19:53 lumberjack/work/
81 08-21-15 19:21 lumberjack/work/__init__.py
-------- -------
512 6 files
Once placed in :conf_master:`file_roots`, Salt users can distribute and use ``lumberjack.zip`` like any other module.
.. code-block:: bash
$ sudo salt minion1 saltutil.sync_modules
minion1:
- modules.lumberjack
$ sudo salt minion1 lumberjack.is_ok 'Michael Palin'
minion1:
True
.. _`Python package`: https://docs.python.org/2/tutorial/modules.html#packages
.. _cross-calling-execution-modules:
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Cross Calling Execution Modules
===============================
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All of the Salt execution modules are available to each other and modules can call
functions available in other execution modules.
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The variable ``__salt__`` is packed into the modules after they are loaded into
the Salt minion.
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The ``__salt__`` variable is a :ref:`Python dictionary <python2:typesmapping>`
containing all of the Salt functions. Dictionary keys are strings representing the
names of the modules and the values are the functions themselves.
Salt modules can be cross-called by accessing the value in the ``__salt__`` dict:
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.. code-block:: python
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def foo(bar):
return __salt__['cmd.run'](bar)
This code will call the `run` function in the :mod:`cmd <salt.modules.cmdmod>`
module and pass the argument ``bar`` to it.
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Preloaded Execution Module Data
===============================
When interacting with execution modules often it is nice to be able to read information
dynamically about the minion or to load in configuration parameters for a module.
Salt allows for different types of data to be loaded into the modules by the
minion.
Grains Data
-----------
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The values detected by the Salt Grains on the minion are available in a
:ref:`dict <python2:typesmapping>` named ``__grains__`` and can be accessed
from within callable objects in the Python modules.
To see the contents of the grains dictionary for a given system in your deployment
run the :func:`grains.items` function:
.. code-block:: bash
salt 'hostname' grains.items --output=pprint
Any value in a grains dictionary can be accessed as any other Python dictionary. For
example, the grain representing the minion ID is stored in the ``id`` key and from
an execution module, the value would be stored in ``__grains__['id']``.
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Module Configuration
--------------------
Since parameters for configuring a module may be desired, Salt allows for
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configuration information from the minion configuration file to be passed to
execution modules.
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Since the minion configuration file is a YAML document, arbitrary configuration
data can be passed in the minion config that is read by the modules. It is therefore
**strongly** recommended that the values passed in the configuration file match
the module name. A value intended for the ``test`` execution module should be named
``test.<value>``.
The test execution module contains usage of the module configuration and the default
configuration file for the minion contains the information and format used to
pass data to the modules. :mod:`salt.modules.test`, :file:`conf/minion`.
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Printout Configuration
======================
Since execution module functions can return different data, and the way the data is
printed can greatly change the presentation, Salt has a printout configuration.
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When writing a module the ``__outputter__`` dictionary can be declared in the module.
The ``__outputter__`` dictionary contains a mapping of function name to Salt
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Outputter.
.. code-block:: python
__outputter__ = {
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'run': 'txt'
}
This will ensure that the text outputter is used.
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.. _virtual-modules:
Virtual Modules
===============
Virtual modules let you override the name of a module in order to use the same
name to refer to one of several similar modules. The specific module that is
loaded for a virtual name is selected based on the current platform or
environment.
For example, packages are managed across platforms using the ``pkg`` module.
``pkg`` is a virtual module name that is
an alias for the specific package manager module that is loaded on a specific
system (for example, :mod:`yumpkg <salt.modules.yumpkg>` on RHEL/CentOS systems
, and :mod:`aptpkg <salt.modules.aptpkg>` on Ubuntu).
Virtual module names are set using the ``__virtual__`` function and the
:ref:`virtual name <modules-virtual-name>`.
``__virtual__`` Function
========================
The ``__virtual__`` function returns either a :ref:`string <python2:typesseq>`,
:py:data:`True`, :py:data:`False`, or :py:data:`False` with an :ref:`error
string <modules-error-info>`. If a string is returned then the module is loaded
using the name of the string as the virtual name. If ``True`` is returned the
module is loaded using the current module name. If ``False`` is returned the
module is not loaded. ``False`` lets the module perform system checks and
prevent loading if dependencies are not met.
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Since ``__virtual__`` is called before the module is loaded, ``__salt__`` will be
unavailable as it will not have been packed into the module at this point in time.
.. note::
Modules which return a string from ``__virtual__`` that is already used by a module that
ships with Salt will _override_ the stock module.
.. _modules-error-info:
Returning Error Information from ``__virtual__``
------------------------------------------------
Optionally, Salt plugin modules, such as execution, state, returner, beacon,
etc. modules may additionally return a string containing the reason that a
module could not be loaded. For example, an execution module called ``cheese``
and a corresponding state module also called ``cheese``, both depending on a
utility called ``enzymes`` should have ``__virtual__`` functions that handle
the case when the dependency is unavailable.
.. code-block:: python
'''
Cheese execution (or returner/beacon/etc.) module
'''
try:
import enzymes
HAS_ENZYMES = True
except ImportError:
HAS_ENZYMES = False
def __virtual__():
'''
only load cheese if enzymes are available
'''
if HAS_ENZYMES:
return 'cheese'
else:
return (False, 'The cheese execution module cannot be loaded: enzymes unavailable.')
.. code-block:: python
'''
Cheese state module
'''
def __virtual__():
'''
only load cheese if enzymes are available
'''
# predicate loading of the cheese state on the corresponding execution module
if 'cheese.slice' in __salt__:
return 'cheese'
else:
return (False, 'The cheese state module cannot be loaded: enzymes unavailable.')
Examples
--------
The package manager modules are among the best examples of using the ``__virtual__``
function. Some examples:
- :blob:`pacman.py <salt/modules/pacman.py>`
- :blob:`yumpkg.py <salt/modules/yumpkg.py>`
- :blob:`aptpkg.py <salt/modules/aptpkg.py>`
- :blob:`at.py <salt/modules/at.py>`
.. _modules-virtual-name:
``__virtualname__``
===================
``__virtualname__`` is a variable that is used by the documentation build
system to know the virtual name of a module without calling the ``__virtual__``
function. Modules that return a string from the ``__virtual__`` function
must also set the ``__virtualname__`` variable.
To avoid setting the virtual name string twice, you can implement
``__virtual__`` to return the value set for ``__virtualname__`` using a pattern
similar to the following:
.. code-block:: python
# Define the module's virtual name
__virtualname__ = 'pkg'
def __virtual__():
'''
Confine this module to Mac OS with Homebrew.
'''
if salt.utils.which('brew') and __grains__['os'] == 'MacOS':
return __virtualname__
return False
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Documentation
=============
Salt execution modules are documented. The :func:`sys.doc` function will return the
documentation for all available modules:
.. code-block:: bash
salt '*' sys.doc
The ``sys.doc`` function simply prints out the docstrings found in the modules; when
writing Salt execution modules, please follow the formatting conventions for docstrings as
they appear in the other modules.
Adding Documentation to Salt Modules
------------------------------------
It is strongly suggested that all Salt modules have documentation added.
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To add documentation add a `Python docstring`_ to the function.
.. code-block:: python
def spam(eggs):
'''
A function to make some spam with eggs!
CLI Example::
salt '*' test.spam eggs
'''
return eggs
Now when the sys.doc call is executed the docstring will be cleanly returned
to the calling terminal.
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.. _`Python docstring`: http://docs.python.org/2/glossary.html#term-docstring
Documentation added to execution modules in docstrings will automatically be added
to the online web-based documentation.
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Add Execution Module Metadata
-----------------------------
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When writing a Python docstring for an execution module, add information about the module
using the following field lists:
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.. code-block:: text
:maintainer: Thomas Hatch <thatch@saltstack.com, Seth House <shouse@saltstack.com>
:maturity: new
:depends: python-mysqldb
:platform: all
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The maintainer field is a comma-delimited list of developers who help maintain
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this module.
The maturity field indicates the level of quality and testing for this module.
Standard labels will be determined.
The depends field is a comma-delimited list of modules that this module depends
on.
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The platform field is a comma-delimited list of platforms that this module is
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known to run on.
Log Output
==========
You can call the logger from custom modules to write messages to the minion
logs. The following code snippet demonstrates writing log messages:
.. code-block:: python
import logging
log = logging.getLogger(__name__)
log.info('Here is Some Information')
log.warning('You Should Not Do That')
log.error('It Is Busted')
Private Functions
=================
In Salt, Python callable objects contained within an execution module are made available
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to the Salt minion for use. The only exception to this rule is a callable
object with a name starting with an underscore ``_``.
Objects Loaded Into the Salt Minion
-----------------------------------
.. code-block:: python
def foo(bar):
return bar
class baz:
def __init__(self, quo):
pass
Objects NOT Loaded into the Salt Minion
---------------------------------------
.. code-block:: python
def _foobar(baz): # Preceded with an _
return baz
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cheese = {} # Not a callable Python object
.. note::
Some callable names also end with an underscore ``_``, to avoid keyword clashes
with Python keywords. When using execution modules, or state modules, with these
in them the trailing underscore should be omitted.
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Useful Decorators for Modules
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=============================
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Depends Decorator
-----------------
When writing execution modules there are many times where some of the module will
work on all hosts but some functions have an external dependency, such as a service
that needs to be installed or a binary that needs to be present on the system.
Instead of trying to wrap much of the code in large try/except blocks, a decorator can
be used.
If the dependencies passed to the decorator don't exist, then the salt minion will remove
those functions from the module on that host.
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If a "fallback_function" is defined, it will replace the function instead of removing it
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.. code-block:: python
import logging
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from salt.utils.decorators import depends
log = logging.getLogger(__name__)
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try:
import dependency_that_sometimes_exists
except ImportError as e:
log.trace('Failed to import dependency_that_sometimes_exists: {0}'.format(e))
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@depends('dependency_that_sometimes_exists')
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def foo():
'''
Function with a dependency on the "dependency_that_sometimes_exists" module,
if the "dependency_that_sometimes_exists" is missing this function will not exist
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'''
return True
def _fallback():
'''
Fallback function for the depends decorator to replace a function with
'''
return '"dependency_that_sometimes_exists" needs to be installed for this function to exist'
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@depends('dependency_that_sometimes_exists', fallback_function=_fallback)
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def foo():
'''
Function with a dependency on the "dependency_that_sometimes_exists" module.
If the "dependency_that_sometimes_exists" is missing this function will be
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replaced with "_fallback"
'''
return True
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In addition to global dependencies the depends decorator also supports raw booleans.
.. code-block:: python
from salt.utils.decorators import depends
HAS_DEP = False
try:
import dependency_that_sometimes_exists
HAS_DEP = True
except ImportError:
pass
@depends(HAS_DEP)
def foo():
return True