* Update docs for the 2.7 change to AnsiballZ which invokes modules with one
less Python interpreter
* Add a section on how module results are returned and on trust between modules, action plugins, and the executor.
* Update docs/docsite/rst/dev_guide/developing_program_flow_modules.rst
Co-Authored-By: abadger <a.badger@gmail.com>
pull/56007/head
Toshio Kuratomi6 years agocommitted byAlicia Cozine
This in-depth dive helps you understand Ansible's program flow to execute
If you're working on Ansible's Core code, writing an Ansible module, or developing an action plugin, this deep dive helps you understand how Ansible's program flow executes. If you're just using Ansible Modules in playbooks, you can skip this section.
modules. It is written for people working on the portions of the Core Ansible
Engine that execute a module. Those writing Ansible Modules may also find this
in-depth dive to be of interest, but individuals simply using Ansible Modules
will not likely find this to be helpful.
..contents:: Topics
..contents::
:local:
:local:
.._flow_types_of_modules:
.._flow_types_of_modules:
@ -27,17 +23,15 @@ these are for backwards compatibility and others are to enable flexibility.
Action plugins
Action plugins
--------------
--------------
Action Plugins look like modules to end users who are writing :term:`playbooks` but
Action plugins look like modules to anyone writing a playbook. Usage documentation for most action plugins lives inside a module of the same name. Some action plugins do all the work, with the module providing only documentation. Some action plugins execute modules. The ``normal`` action plugin executes modules that don't have special action plugins. Action plugins always execute on the controller.
they're distinct entities for the purposes of this document. Action Plugins
always execute on the controller and are sometimes able to do all work there
Some action plugins do all their work on the controller. For
(for instance, the ``debug`` Action Plugin which prints some text for the user to
example, the :ref:`debug <debug_module>` action plugin (which prints text for
see or the ``assert`` Action Plugin which can test whether several values in
the user to see) and the :ref:`assert <assert_module>` action plugin (which
a playbook satisfy certain criteria.)
tests whether values in a playbook satisfy certain criteria) execute entirely on the controller.
More often, Action Plugins set up some values on the controller, then invoke an
Most action plugins set up some values on the controller, then invoke an
actual module on the managed node that does something with these values. An
actual module on the managed node that does something with these values. For example, the :ref:`template <template_module>` action plugin takes values from
easy to understand version of this is the :ref:`template Action Plugin
<template_module>`. The :ref:`template Action Plugin <template_module>` takes values from
the user to construct a file in a temporary location on the controller using
the user to construct a file in a temporary location on the controller using
variables from the playbook environment. It then transfers the temporary file
variables from the playbook environment. It then transfers the temporary file
to a temporary file on the remote system. After that, it invokes the
to a temporary file on the remote system. After that, it invokes the
@ -49,23 +43,20 @@ into its final location, sets file permissions, and so on.
New-style modules
New-style modules
-----------------
-----------------
All of the modules that ship with Ansible fall into this category.
All of the modules that ship with Ansible fall into this category. While you can write modules in any language, all official modules (shipped with Ansible) use either Python or PowerShell.
New-style modules have the arguments to the module embedded inside of them in
New-style modules have the arguments to the module embedded inside of them in
some manner. Non-new-style modules must copy a separate file over to the
some manner. Old-style modules must copy a separate file over to the
managed node, which is less efficient as it requires two over-the-wire
managed node, which is less efficient as it requires two over-the-wire
connections instead of only one.
connections instead of only one.
.._flow_python_modules:
.._flow_python_modules:
Python
Python
------
^^^^^^
New-style Python modules use the :ref:`Ansiballz` framework for constructing
New-style Python modules use the :ref:`Ansiballz` framework for constructing
modules. All official modules (shipped with Ansible) use either this or the
modules. These modules use imports from :code:`ansible.module_utils` to pull in
The module typically parses the contents of ``json_arguments`` using a JSON
These modules typically parse the contents of ``json_arguments`` using a JSON
library and then use them as native variables throughout the rest of its code.
library and then use them as native variables throughout the code.
.._flow_want_json_modules:
.._flow_want_json_modules:
@ -143,11 +134,11 @@ Binary modules
From Ansible 2.2 onwards, modules may also be small binary programs. Ansible
From Ansible 2.2 onwards, modules may also be small binary programs. Ansible
doesn't perform any magic to make these portable to different systems so they
doesn't perform any magic to make these portable to different systems so they
may be specific to the system on which they were compiled or require other
may be specific to the system on which they were compiled or require other
binary runtime dependencies. Despite these drawbacks, a site may sometimes
binary runtime dependencies. Despite these drawbacks, you may have
have no choice but to compile a custom module against a specific binary
to compile a custom module against a specific binary
library if that's the only way they have to get access to certain resources.
library if that's the only way to get access to certain resources.
Binary modules take their arguments and will return data to Ansible in the same
Binary modules take their arguments and return data to Ansible in the same
way as :ref:`want JSON modules <flow_want_json_modules>`.
way as :ref:`want JSON modules <flow_want_json_modules>`.
..seealso:: One example of a `binary module
..seealso:: One example of a `binary module
@ -162,10 +153,8 @@ Old-style modules
Old-style modules are similar to
Old-style modules are similar to
:ref:`want JSON modules <flow_want_json_modules>`, except that the file that
:ref:`want JSON modules <flow_want_json_modules>`, except that the file that
they take contains ``key=value`` pairs for their parameters instead of
they take contains ``key=value`` pairs for their parameters instead of
:term:`JSON`.
:term:`JSON`. Ansible decides that a module is old-style when it doesn't have
any of the markers that would show that it is one of the other types.
Ansible decides that a module is old-style when it doesn't have any of the
markers that would show that it is one of the other types.
.._flow_how_modules_are_executed:
.._flow_how_modules_are_executed:
@ -193,30 +182,29 @@ to that Action Plugin for further processing.
.._flow_normal_action_plugin:
.._flow_normal_action_plugin:
Normal action plugin
The ``normal`` action plugin
--------------------
----------------------------
The ``normal`` action plugin executes the module on the remote host. It is
The ``normal`` action plugin executes the module on the remote host. It is
the primary coordinator of much of the work to actually execute the module on
the primary coordinator of much of the work to actually execute the module on
the managed machine.
the managed machine.
* It takes care of creating a connection to the managed machine by
* It loads the appropriate connection plugin for the task, which then transfers
instantiating a ``Connection`` class according to the inventory
or executes as needed to create a connection to that host.
configuration for that host.
* It adds any internal Ansible properties to the module's parameters (for
* It adds any internal Ansible variables to the module's parameters (for
instance, the ones that pass along ``no_log`` to the module).
instance, the ones that pass along ``no_log`` to the module).
* It takes care of creating any temporary files on the remote machine and
* It works with other plugins (connection, shell, become, other action plugins)
to create any temporary files on the remote machine and
cleans up afterwards.
cleans up afterwards.
* It does the actual work of pushing the module and module parameters to the
* It pushes the module and module parameters to the
remote host, although the :ref:`module_common <flow_executor_module_common>`
remote host, although the :ref:`module_common <flow_executor_module_common>`
code described in the next section does the work of deciding which format
code described in the next section decides which format
those will take.
those will take.
* It handles any special cases regarding modules (for instance, various
* It handles any special cases regarding modules (for instance, async
complications around Windows modules that must have the same names as Python
execution, or complications around Windows modules that must have the same names as Python modules, so that internal calling of modules from other Action Plugins work.)
modules, so that internal calling of modules from other Action Plugins work.)
Much of this functionality comes from the `BaseAction` class,
Much of this functionality comes from the `BaseAction` class,
which lives in :file:`plugins/action/__init__.py`. It makes use of
which lives in :file:`plugins/action/__init__.py`. It uses the
``Connection`` and ``Shell`` objects to do its work.
``Connection`` and ``Shell`` objects to do its work.
..note::
..note::
@ -230,16 +218,15 @@ which lives in :file:`plugins/action/__init__.py`. It makes use of
Executor/module_common.py
Executor/module_common.py
-------------------------
-------------------------
Code in :file:`executor/module_common.py`takes care of assembling the module
Code in :file:`executor/module_common.py`assembles the module
to be shipped to the managed node. The module is first read in, then examined
to be shipped to the managed node. The module is first read in, then examined
to determine its type. :ref:`PowerShell <flow_powershell_modules>` and
to determine its type:
:ref:`JSON-args modules <flow_jsonargs_modules>` are passed through
* :ref:`PowerShell <flow_powershell_modules>` and :ref:`JSON-args modules <flow_jsonargs_modules>` are passed through :ref:`Module Replacer <module_replacer>`.
:ref:`Python modules <flow_python_modules>` are assembled by :ref:`Ansiballz`.
* New-style :ref:`Python modules <flow_python_modules>` are assembled by :ref:`Ansiballz`.
* :ref:`Non-native-want-JSON <flow_want_json_modules>`, :ref:`Binary modules <flow_binary_modules>`, and :ref:`Old-Style modules <flow_old_style_modules>` aren't touched by either of these and pass through unchanged.
:ref:`Binary modules <flow_binary_modules>`, and
:ref:`Old-Style modules <flow_old_style_modules>` aren't touched by either of
After the assembling step, one final
these and pass through unchanged. After the assembling step, one final
modification is made to all modules that have a shebang line. Ansible checks
modification is made to all modules that have a shebang line. Ansible checks
whether the interpreter in the shebang line has a specific path configured via
whether the interpreter in the shebang line has a specific path configured via
an ``ansible_$X_interpreter`` inventory variable. If it does, Ansible
an ``ansible_$X_interpreter`` inventory variable. If it does, Ansible
@ -248,7 +235,10 @@ this, Ansible returns the complete module data and the module type to the
:ref:`Normal Action <flow_normal_action_plugin>` which continues execution of
:ref:`Normal Action <flow_normal_action_plugin>` which continues execution of
the module.
the module.
Next we'll go into some details of the two assembler frameworks.
Assembler frameworks
--------------------
Ansible supports two assembler frameworks: Ansiballz and the older Module Replacer.
.._module_replacer:
.._module_replacer:
@ -256,7 +246,7 @@ Module Replacer framework
^^^^^^^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^^^^^^^
The Module Replacer framework is the original framework implementing new-style
The Module Replacer framework is the original framework implementing new-style
modules. It is essentially a preprocessor (like the C Preprocessor for those
modules, and is still used for PowerShell modules. It is essentially a preprocessor (like the C Preprocessor for those
familiar with that programming language). It does straight substitutions of
familiar with that programming language). It does straight substitutions of
specific substring patterns in the module file. There are two types of
specific substring patterns in the module file. There are two types of
substitutions:
substitutions:
@ -275,9 +265,7 @@ substitutions:
:file:`ansible/module_utils/powershell.ps1`. It should only be used with
:file:`ansible/module_utils/powershell.ps1`. It should only be used with
* Replacements that are used by ``ansible.module_utils`` code. These are internal
* Replacements that are used by ``ansible.module_utils`` code. These are internal replacement patterns. They may be used internally, in the above public replacements, but shouldn't be used directly by modules.
replacement patterns. They may be used internally, in the above public
replacements, but shouldn't be used directly by modules.
- :code:`"<<ANSIBLE_VERSION>>"` is substituted with the Ansible version. In
- :code:`"<<ANSIBLE_VERSION>>"` is substituted with the Ansible version. In
:ref:`new-style Python modules <flow_python_modules>` under the
:ref:`new-style Python modules <flow_python_modules>` under the
@ -317,29 +305,33 @@ substitutions:
Ansiballz framework
Ansiballz framework
^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^
Ansible 2.1 switched from the :ref:`module_replacer` framework to the
The Ansiballz framework was adopted in Ansible 2.1 and is used for all new-style Python modules. Unlike the Module Replacer, Ansiballz uses real Python imports of things in
Ansiballz framework for assembling modules. The Ansiballz framework differs
from module replacer in that it uses real Python imports of things in
:file:`ansible/module_utils` instead of merely preprocessing the module. It
:file:`ansible/module_utils` instead of merely preprocessing the module. It
does this by constructing a zipfile -- which includes the module file, files
does this by constructing a zipfile -- which includes the module file, files
in :file:`ansible/module_utils` that are imported by the module, and some
in :file:`ansible/module_utils` that are imported by the module, and some
boilerplate to pass in the module's parameters. The zipfile is then Base64
boilerplate to pass in the module's parameters. The zipfile is then Base64
encoded and wrapped in a small Python script which decodes the Base64 encoding
encoded and wrapped in a small Python script which decodes the Base64 encoding
and places the zipfile into a temp directory on the managed node. It then
and places the zipfile into a temp directory on the managed node. It then
extracts just the ansible module script from the zip file and places that in
extracts just the Ansible module script from the zip file and places that in
the temporary directory as well. Then it sets the PYTHONPATH to find python
the temporary directory as well. Then it sets the PYTHONPATH to find Python
modules inside of the zip file and invokes :command:`python` on the extracted
modules inside of the zip file and imports the Ansible module as the special name, ``__main__``.
ansible module.
Importing it as ``__main__`` causes Python to think that it is executing a script rather than simply
importing a module. This lets Ansible run both the wrapper script and the module code in a single copy of Python on the remote machine.
..note::
..note::
Ansible wraps the zipfile in the Python script for two reasons:
* Ansible wraps the zipfile in the Python script for two reasons:
* for compatibility with Python 2.6 which has a less
* for compatibility with Python 2.6 which has a less
functional version of Python's ``-m`` command line switch.
functional version of Python's ``-m`` command line switch.
* so that pipelining will function properly. Pipelining needs to pipe the
* so that pipelining will function properly. Pipelining needs to pipe the
Python module into the Python interpreter on the remote node. Python
Python module into the Python interpreter on the remote node. Python
understands scripts on stdin but does not understand zip files.
understands scripts on stdin but does not understand zip files.
* Prior to Ansible 2.7, the module was executed via a second Python interpreter instead of being
executed inside of the same process. This change was made once Python-2.4 support was dropped
to speed up module execution.
In Ansiballz, any imports of Python modules from the
In Ansiballz, any imports of Python modules from the
:py:mod:`ansible.module_utils` package trigger inclusion of that Python file
:py:mod:`ansible.module_utils` package trigger inclusion of that Python file
into the zipfile. Instances of :code:`#<<INCLUDE_ANSIBLE_MODULE_COMMON>>` in
into the zipfile. Instances of :code:`#<<INCLUDE_ANSIBLE_MODULE_COMMON>>` in
@ -355,30 +347,30 @@ the zipfile as well.
import that has :py:mod:`ansible.module_utils` in it to allow Ansiballz to
import that has :py:mod:`ansible.module_utils` in it to allow Ansiballz to
determine that the file should be included.
determine that the file should be included.
.._flow_passing_module_args:
.._flow_passing_module_args:
Passing args
Passing args
------------
------------
In :ref:`module_replacer`, module arguments are turned into a JSON-ified
Arguments are passed differently by the two frameworks:
string and substituted into the combined module file. In :ref:`Ansiballz`,
the JSON-ified string is passed into the module via stdin. When
* In :ref:`module_replacer`, module arguments are turned into a JSON-ified string and substituted into the combined module file.
a :class:`ansible.module_utils.basic.AnsibleModule` is instantiated,
* In :ref:`Ansiballz`, the JSON-ified string is part of the script which wraps the zipfile. Just before the wrapper script imports the Ansible module as ``__main__``, it monkey-patches the private, ``_ANSIBLE_ARGS`` variable in ``basic.py`` with the variable values. When a :class:`ansible.module_utils.basic.AnsibleModule` is instantiated, it parses this string and places the args into :attr:`AnsibleModule.params` where it can be accessed by the module's other code.
it parses this string and places the args into
:attr:`AnsibleModule.params` where it can be accessed by the module's
..warning::
other code.
If you are writing modules, remember that the way we pass arguments is an internal implementation detail: it has changed in the past and will change again as soon as changes to the common module_utils
code allow Ansible modules to forgo using :class:`ansible.module_utils.basic.AnsibleModule`. Do not rely on the internal global ``_ANSIBLE_ARGS`` variable.
Very dynamic custom modules which need to parse arguments before they
instantiate an ``AnsibleModule`` may use ``_load_params`` to retrieve those parameters.
Although ``_load_params`` may change in breaking ways if necessary to support
changes in the code, it is likely to be more stable than either the way we pass parameters or the internal global variable.
..note::
..note::
Internally, the `AnsibleModule` uses the helper function,
Prior to Ansible 2.7, the Ansible module was invoked in a second Python interpreter and the
:py:func:`ansible.module_utils.basic._load_params`, to load the parameters
arguments were then passed to the script over the script's stdin.
from stdin and save them into an internal global variable. Very dynamic
custom modules which need to parse the parameters prior to instantiating
an ``AnsibleModule`` may use ``_load_params`` to retrieve the
parameters. Be aware that ``_load_params`` is an internal function and
may change in breaking ways if necessary to support changes in the code.
However, we'll do our best not to break it gratuitously, which is not
something that can be said for either the way parameters are passed or
the internal global variable.
.._flow_internal_arguments:
.._flow_internal_arguments:
@ -392,61 +384,55 @@ Ansible features. Modules often do not need to know about these explicitly as
the features are implemented in :py:mod:`ansible.module_utils.basic` but certain
the features are implemented in :py:mod:`ansible.module_utils.basic` but certain
features need support from the module so it's good to know about them.
features need support from the module so it's good to know about them.
The internal arguments listed here are global. If you need to add a local internal argument to a custom module, create an action plugin for that specific module - see ``_original_basename`` in the `copy action plugin <https://github.com/ansible/ansible/blob/devel/lib/ansible/plugins/action/copy.py#L329>`_ for an example.
_ansible_no_log
_ansible_no_log
^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^
This is a boolean. If it's True then the playbook specified ``no_log`` (in
Boolean. Set to True whenever a parameter in a task or play specifies ``no_log``. Any module that calls :py:meth:`AnsibleModule.log` handles this automatically. If a module implements its own logging then
a task's parameters or as a play parameter). This automatically affects calls
it needs to check this value. To access in a module, instantiate an
to :py:meth:`AnsibleModule.log`. If a module implements its own logging then
``AnsibleModule`` and then check the value of :attr:`AnsibleModule.no_log`.
it needs to check this value. The best way to look at this is for the module
to instantiate an `AnsibleModule` and then check the value of
:attr:`AnsibleModule.no_log`.
..note::
..note::
``no_log`` specified in a module's argument_spec are handled by a different mechanism.
``no_log`` specified in a module's argument_spec is handled by a different mechanism.
_ansible_debug
_ansible_debug
^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^
This is a boolean that turns on more verbose logging. If a module uses
Boolean. Turns more verbose logging on or off and turns on logging of
external commands that the module executes. If a module uses
:py:meth:`AnsibleModule.debug` rather than :py:meth:`AnsibleModule.log` then
:py:meth:`AnsibleModule.debug` rather than :py:meth:`AnsibleModule.log` then
the messages are only logged if this is True. This also turns on logging of
the messages are only logged if ``_ansible_debug`` is set to ``True``.
external commands that the module executes. This can be changed via
To set, add ``debug: True`` to :file:`ansible.cfg` or set the environment
the ``debug`` setting in :file:`ansible.cfg` or the environment variable
variable :envvar:`ANSIBLE_DEBUG`. To access in a module, instantiate an
:envvar:`ANSIBLE_DEBUG`. If, for some reason, a module must access this, it
``AnsibleModule`` and access :attr:`AnsibleModule._debug`.
should do so by instantiating an `AnsibleModule` and accessing
:attr:`AnsibleModule._debug`.
_ansible_diff
_ansible_diff
^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^
This boolean is turned on via the ``--diff`` command line option. If a module
Boolean. If a module supports it, tells the module to show a unified diff of
supports it, it will tell the module to show a unified diff of changes to be
changes to be made to templated files. To set, pass the ``--diff`` command line
made to templated files. The proper way for a module to access this is by
option. To access in a module, instantiate an `AnsibleModule` and access
instantiating an `AnsibleModule` and accessing
:attr:`AnsibleModule._diff`.
:attr:`AnsibleModule._diff`.
_ansible_verbosity
_ansible_verbosity
^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^
This value could be used for finer grained control over logging. However, it
Unused. This value could be used for finer grained control over logging.
is currently unused.
_ansible_selinux_special_fs
_ansible_selinux_special_fs
^^^^^^^^^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^^^^^^^^^
This is a list of names of filesystems which should have a special selinux
List. Names of filesystems which should have a special SELinux
context. They are used by the `AnsibleModule` methods which operate on
context. They are used by the `AnsibleModule` methods which operate on
files (changing attributes, moving, and copying). The list of names is set
files (changing attributes, moving, and copying). To set, add a comma separated string of filesystem names in :file:`ansible.cfg`::
via a comma separated string of filesystem names from :file:`ansible.cfg`::
# ansible.cfg
# ansible.cfg
[selinux]
[selinux]
special_context_filesystems=nfs,vboxsf,fuse,ramfs
special_context_filesystems=nfs,vboxsf,fuse,ramfs
If a module cannot use the builtin ``AnsibleModule`` methods to manipulate
Most modules can use the built-in ``AnsibleModule`` methods to manipulate
files and needs to know about these special context filesystems, it should
files. To access in a module that needs to know about these special context filesystems, instantiate an ``AnsibleModule`` and examine the list in
instantiate an ``AnsibleModule`` and then examine the list in
:attr:`AnsibleModule._selinux_special_fs`.
:attr:`AnsibleModule._selinux_special_fs`.
This replaces :attr:`ansible.module_utils.basic.SELINUX_SPECIAL_FS` from
This replaces :attr:`ansible.module_utils.basic.SELINUX_SPECIAL_FS` from
@ -458,21 +444,19 @@ filesystem names. Under Ansiballz it's an actual list.
_ansible_syslog_facility
_ansible_syslog_facility
^^^^^^^^^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^^^^^^^^^
This parameter controls which syslog facility ansible module logs to. It may
This parameter controls which syslog facility Ansible module logs to. To set, change the ``syslog_facility`` value in :file:`ansible.cfg`. Most
be set by changing the ``syslog_facility`` value in :file:`ansible.cfg`. Most
modules should just use :meth:`AnsibleModule.log` which will then make use of
modules should just use :meth:`AnsibleModule.log` which will then make use of
this. If a module has to use this on its own, it should instantiate an
this. If a module has to use this on its own, it should instantiate an
`AnsibleModule` and then retrieve the name of the syslog facility from
`AnsibleModule` and then retrieve the name of the syslog facility from
:attr:`AnsibleModule._syslog_facility`. The code will look slightly different
:attr:`AnsibleModule._syslog_facility`. The Ansiballz code is less hacky than the old :ref:`module_replacer` code:
than it did under :ref:`module_replacer` due to how hacky the old way was
@ -483,7 +467,7 @@ than it did under :ref:`module_replacer` due to how hacky the old way was
_ansible_version
_ansible_version
^^^^^^^^^^^^^^^^
^^^^^^^^^^^^^^^^
This parameter passes the version of ansible that runs the module. To access
This parameter passes the version of Ansible that runs the module. To access
it, a module should instantiate an `AnsibleModule` and then retrieve it
it, a module should instantiate an `AnsibleModule` and then retrieve it
from :attr:`AnsibleModule.ansible_version`. This replaces
from :attr:`AnsibleModule.ansible_version`. This replaces
:attr:`ansible.module_utils.basic.ANSIBLE_VERSION` from
:attr:`ansible.module_utils.basic.ANSIBLE_VERSION` from
@ -491,6 +475,21 @@ from :attr:`AnsibleModule.ansible_version`. This replaces
..versionadded:: 2.1
..versionadded:: 2.1
.._flow_module_return_values:
Module return values & Unsafe strings
-------------------------------------
At the end of a module's execution, it formats the data that it wants to return as a JSON string and prints the string to its stdout. The normal action plugin receives the JSON string, parses it into a Python dictionary, and returns it to the executor.
If Ansible templated every string return value, it would be vulnerable to an attack from users with access to managed nodes. If an unscrupulous user disguised malicious code as Ansible return value strings, and if those strings were then templated on the controller, Ansible could execute arbitrary code. To prevent this scenario, Ansible marks all strings inside returned data as ``Unsafe``, emitting any Jinja2 templates in the strings verbatim, not expanded by Jinja2.
Strings returned by invoking a module through ``ActionPlugin._execute_module()`` are automatically marked as ``Unsafe`` by the normal action plugin. If another action plugin retrieves information from a module through some other means, it must mark its return data as ``Unsafe`` on its own.
In case a poorly-coded action plugin fails to mark its results as "Unsafe," Ansible audits the results again when they are returned to the executor,
marking all strings as ``Unsafe``. The normal action plugin protects itself and any other code that it calls with the result data as a parameter. The check inside the executor protects the output of all other action plugins, ensuring that subsequent tasks run by Ansible will not template anything from those results either.
Toshio Kuratomi
6 years ago
committed by