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This PR is part of what will be an ongoing effort to use explicit unicode strings in Salt. Because Python 3 does not suport Python 2's raw unicode string syntax (i.e. `ur'\d+'`), we must use `salt.utils.locales.sdecode()` to ensure that the raw string is unicode. However, because of how `salt/utils/__init__.py` has evolved into the hulking monstrosity it is today, this means importing a large module in places where it is not needed, which could negatively impact performance. For this reason, this PR also breaks out some of the functions from `salt/utils/__init__.py` into new/existing modules under `salt/utils/`. The long term goal will be that the modules within this directory do not depend on importing `salt.utils`. A summary of the changes in this PR is as follows: * Moves the following functions from `salt.utils` to new locations (including a deprecation warning if invoked from `salt.utils`): `to_bytes`, `to_str`, `to_unicode`, `str_to_num`, `is_quoted`, `dequote`, `is_hex`, `is_bin_str`, `rand_string`, `contains_whitespace`, `clean_kwargs`, `invalid_kwargs`, `which`, `which_bin`, `path_join`, `shlex_split`, `rand_str`, `is_windows`, `is_proxy`, `is_linux`, `is_darwin`, `is_sunos`, `is_smartos`, `is_smartos_globalzone`, `is_smartos_zone`, `is_freebsd`, `is_netbsd`, `is_openbsd`, `is_aix` * Moves the functions already deprecated by @rallytime to the bottom of `salt/utils/__init__.py` for better organization, so we can keep the deprecated ones separate from the ones yet to be deprecated as we continue to break up `salt.utils` * Updates `salt/*.py` and all files under `salt/client/` to use explicit unicode string literals. * Gets rid of implicit imports of `salt.utils` (e.g. `from salt.utils import foo` becomes `import salt.utils.foo as foo`). * Renames the `test.rand_str` function to `test.random_hash` to more accurately reflect what it does * Modifies `salt.utils.stringutils.random()` (née `salt.utils.rand_string()`) such that it returns a string matching the passed size. Previously this function would get `size` bytes from `os.urandom()`, base64-encode it, and return the result, which would in most cases not be equal to the passed size.
165 lines
5.3 KiB
ReStructuredText
165 lines
5.3 KiB
ReStructuredText
.. _renderers:
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=========
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Renderers
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=========
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The Salt state system operates by gathering information from common data
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types such as lists, dictionaries, and strings that would be familiar
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to any developer.
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SLS files are translated from whatever data templating format they are written
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in back into Python data types to be consumed by Salt.
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By default SLS files are rendered as Jinja templates and then parsed as YAML
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documents. But since the only thing the state system cares about is raw data,
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the SLS files can be any structured format that can be dreamed up.
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Currently there is support for ``Jinja + YAML``, ``Mako + YAML``,
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``Wempy + YAML``, ``Jinja + json``, ``Mako + json`` and ``Wempy + json``.
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Renderers can be written to support any template type. This means that the
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Salt states could be managed by XML files, HTML files, Puppet files, or any
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format that can be translated into the Pythonic data structure used by the state
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system.
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Multiple Renderers
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------------------
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A default renderer is selected in the master configuration file by providing
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a value to the ``renderer`` key.
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When evaluating an SLS, more than one renderer can be used.
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When rendering SLS files, Salt checks for the presence of a Salt-specific
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shebang line.
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The shebang line directly calls the name of the renderer as it is specified
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within Salt. One of the most common reasons to use multiple renderers is to
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use the Python or ``py`` renderer.
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Below, the first line is a shebang that references the ``py`` renderer.
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.. code-block:: python
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#!py
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def run():
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'''
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Install the python-mako package
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'''
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return {'include': ['python'],
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'python-mako': {'pkg': ['installed']}}
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.. _renderers-composing:
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Composing Renderers
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-------------------
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A renderer can be composed from other renderers by connecting them in a series
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of pipes(``|``).
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In fact, the default ``Jinja + YAML`` renderer is implemented by connecting a YAML
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renderer to a Jinja renderer. Such renderer configuration is specified as: ``jinja | yaml``.
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Other renderer combinations are possible:
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``yaml``
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i.e, just YAML, no templating.
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``mako | yaml``
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pass the input to the ``mako`` renderer, whose output is then fed into the
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``yaml`` renderer.
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``jinja | mako | yaml``
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This one allows you to use both jinja and mako templating syntax in the
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input and then parse the final rendered output as YAML.
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The following is a contrived example SLS file using the ``jinja | mako | yaml`` renderer:
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.. code-block:: python
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#!jinja|mako|yaml
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An_Example:
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cmd.run:
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- name: |
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echo "Using Salt ${grains['saltversion']}" \
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"from path {{grains['saltpath']}}."
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- cwd: /
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<%doc> ${...} is Mako's notation, and so is this comment. </%doc>
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{# Similarly, {{...}} is Jinja's notation, and so is this comment. #}
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For backward compatibility, ``jinja | yaml`` can also be written as
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``yaml_jinja``, and similarly, the ``yaml_mako``, ``yaml_wempy``,
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``json_jinja``, ``json_mako``, and ``json_wempy`` renderers are all supported.
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Keep in mind that not all renderers can be used alone or with any other renderers.
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For example, the template renderers shouldn't be used alone as their outputs are
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just strings, which still need to be parsed by another renderer to turn them into
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highstate data structures.
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For example, it doesn't make sense to specify ``yaml | jinja`` because the
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output of the YAML renderer is a highstate data structure (a dict in Python), which
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cannot be used as the input to a template renderer. Therefore, when combining
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renderers, you should know what each renderer accepts as input and what it returns
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as output.
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Writing Renderers
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-----------------
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A custom renderer must be a Python module placed in the renderers directory and the
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module implement the ``render`` function.
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The ``render`` function will be passed the path of the SLS file as an argument.
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The purpose of the ``render`` function is to parse the passed file and to return
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the Python data structure derived from the file.
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Custom renderers must be placed in a ``_renderers`` directory within the
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:conf_master:`file_roots` specified by the master config file.
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Custom renderers are distributed when any of the following are run:
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- :py:func:`state.apply <salt.modules.state.apply_>`
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- :py:func:`saltutil.sync_renderers <salt.modules.saltutil.sync_renderers>`
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- :py:func:`saltutil.sync_all <salt.modules.saltutil.sync_all>`
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Any custom renderers which have been synced to a minion, that are named the
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same as one of Salt's default set of renderers, will take the place of the
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default renderer with the same name.
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Examples
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--------
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The best place to find examples of renderers is in the Salt source code.
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Documentation for renderers included with Salt can be found here:
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:blob:`salt/renderers`
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Here is a simple YAML renderer example:
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.. code-block:: python
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import yaml
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from salt.utils.yamlloader import SaltYamlSafeLoader
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from salt.ext import six
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def render(yaml_data, saltenv='', sls='', **kws):
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if not isinstance(yaml_data, six.string_types):
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yaml_data = yaml_data.read()
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data = yaml.load(
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yaml_data,
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Loader=SaltYamlSafeLoader
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)
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return data if data else {}
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Full List of Renderers
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----------------------
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.. toctree::
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all/index
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