Documentation for plugins-parameters
In this changeset, I updated the documentation to explain how to add configuration options for each type of plugin. Partially Implements: plugins-parameters Change-Id: Ifd373da64207110492b4a62f1cb7f13b029a45d2
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doc/source/deploy/gmr.rst
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doc/source/deploy/gmr.rst
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..
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Except where otherwise noted, this document is licensed under Creative
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Commons Attribution 3.0 License. You can view the license at:
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https://creativecommons.org/licenses/by/3.0/
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.. _watcher_gmr:
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=======================
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Guru Meditation Reports
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=======================
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Watcher contains a mechanism whereby developers and system administrators can
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generate a report about the state of a running Watcher service. This report
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is called a *Guru Meditation Report* (*GMR* for short).
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Generating a GMR
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================
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A *GMR* can be generated by sending the *USR2* signal to any Watcher process
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with support (see below). The *GMR* will then be outputted as standard error
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for that particular process.
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For example, suppose that ``watcher-api`` has process id ``8675``, and was run
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with ``2>/var/log/watcher/watcher-api-err.log``. Then, ``kill -USR2 8675``
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will trigger the Guru Meditation report to be printed to
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``/var/log/watcher/watcher-api-err.log``.
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Structure of a GMR
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==================
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The *GMR* is designed to be extensible; any particular service may add its
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own sections. However, the base *GMR* consists of several sections:
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Package
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Shows information about the package to which this process belongs, including
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version informations.
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Threads
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Shows stack traces and thread ids for each of the threads within this
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process.
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Green Threads
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Shows stack traces for each of the green threads within this process (green
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threads don't have thread ids).
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Configuration
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Lists all the configuration options currently accessible via the CONF object
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for the current process.
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Plugins
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Lists all the plugins currently accessible by the Watcher service.
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@ -55,7 +55,7 @@ Here is an example showing how you can write a plugin called ``DummyAction``:
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from watcher.applier.actions import base
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class DummyAction(baseBaseAction):
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class DummyAction(base.BaseAction):
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@property
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def schema(self):
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@ -90,11 +90,53 @@ Input validation
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As you can see in the previous example, we are using `Voluptuous`_ to validate
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the input parameters of an action. So if you want to learn more about how to
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work with `Voluptuous`_, you can have a look at their `documentation`_ here:
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work with `Voluptuous`_, you can have a look at their `documentation`_:
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.. _Voluptuous: https://github.com/alecthomas/voluptuous
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.. _documentation: https://github.com/alecthomas/voluptuous/blob/master/README.md
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Define configuration parameters
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===============================
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At this point, you have a fully functional action. However, in more complex
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implementation, you may want to define some configuration options so one can
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tune the action to its needs. To do so, you can implement the
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:py:meth:`~.Loadable.get_config_opts` class method as followed:
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.. code-block:: python
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from oslo_config import cfg
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class DummyAction(base.BaseAction):
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# [...]
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def execute(self):
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assert self.config.test_opt == 0
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def get_config_opts(self):
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return [
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cfg.StrOpt('test_opt', help="Demo Option.", default=0),
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# Some more options ...
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]
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The configuration options defined within this class method will be included
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within the global ``watcher.conf`` configuration file under a section named by
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convention: ``{namespace}.{plugin_name}``. In our case, the ``watcher.conf``
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configuration would have to be modified as followed:
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.. code-block:: ini
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[watcher_actions.dummy]
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# Option used for testing.
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test_opt = test_value
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Then, the configuration options you define within this method will then be
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injected in each instantiated object via the ``config`` parameter of the
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:py:meth:`~.BaseAction.__init__` method.
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Abstract Plugin Class
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=====================
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@ -103,6 +145,7 @@ should implement:
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.. autoclass:: watcher.applier.actions.base.BaseAction
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:members:
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:special-members: __init__
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:noindex:
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.. py:attribute:: schema
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@ -69,6 +69,49 @@ examples, have a look at the implementation of planners already provided by
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Watcher like :py:class:`~.DefaultPlanner`. A list with all available planner
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plugins can be found :ref:`here <watcher_planners>`.
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Define configuration parameters
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===============================
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At this point, you have a fully functional planner. However, in more complex
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implementation, you may want to define some configuration options so one can
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tune the planner to its needs. To do so, you can implement the
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:py:meth:`~.Loadable.get_config_opts` class method as followed:
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.. code-block:: python
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from oslo_config import cfg
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class DummyPlanner(base.BasePlanner):
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# [...]
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def schedule(self, context, audit_uuid, solution):
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assert self.config.test_opt == 0
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# [...]
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def get_config_opts(self):
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return [
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cfg.StrOpt('test_opt', help="Demo Option.", default=0),
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# Some more options ...
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]
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The configuration options defined within this class method will be included
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within the global ``watcher.conf`` configuration file under a section named by
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convention: ``{namespace}.{plugin_name}``. In our case, the ``watcher.conf``
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configuration would have to be modified as followed:
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.. code-block:: ini
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[watcher_planners.dummy]
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# Option used for testing.
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test_opt = test_value
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Then, the configuration options you define within this method will then be
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injected in each instantiated object via the ``config`` parameter of the
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:py:meth:`~.BasePlanner.__init__` method.
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Abstract Plugin Class
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=====================
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@ -77,6 +120,7 @@ should implement:
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.. autoclass:: watcher.decision_engine.planner.base.BasePlanner
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:members:
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:special-members: __init__
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:noindex:
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@ -163,8 +163,8 @@ modify your ``NewStrategy`` plugin so it now achieves the latter:
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class NewStrategy(NewGoalBaseStrategy):
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def __init__(self, osc=None):
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super(NewStrategy, self).__init__(osc)
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def __init__(self, config, osc=None):
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super(NewStrategy, self).__init__(config, osc)
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def execute(self, original_model):
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self.solution.add_action(action_type="nop",
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@ -185,6 +185,49 @@ modify your ``NewStrategy`` plugin so it now achieves the latter:
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return "New strategy"
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Define configuration parameters
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===============================
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At this point, you have a fully functional strategy. However, in more complex
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implementation, you may want to define some configuration options so one can
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tune the strategy to its needs. To do so, you can implement the
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:py:meth:`~.Loadable.get_config_opts` class method as followed:
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.. code-block:: python
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from oslo_config import cfg
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class NewStrategy(NewGoalBaseStrategy):
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# [...]
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def execute(self, original_model):
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assert self.config.test_opt == 0
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# [...]
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def get_config_opts(self):
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return [
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cfg.StrOpt('test_opt', help="Demo Option.", default=0),
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# Some more options ...
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]
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The configuration options defined within this class method will be included
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within the global ``watcher.conf`` configuration file under a section named by
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convention: ``{namespace}.{plugin_name}``. In our case, the ``watcher.conf``
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configuration would have to be modified as followed:
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.. code-block:: ini
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[watcher_strategies.new_strategy]
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# Option used for testing.
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test_opt = test_value
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Then, the configuration options you define within this method will then be
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injected in each instantiated object via the ``config`` parameter of the
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:py:meth:`~.BaseStrategy.__init__` method.
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Abstract Plugin Class
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=====================
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@ -192,6 +235,7 @@ Here below is the abstract :py:class:`~.BaseStrategy` class:
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.. autoclass:: watcher.decision_engine.strategy.strategies.base.BaseStrategy
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:members:
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:special-members: __init__
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:noindex:
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.. _strategy_plugin_add_entrypoint:
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@ -9,6 +9,10 @@
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Available Plugins
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=================
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In this section we present all the plugins that are shipped along with Watcher.
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If you want to know which plugins your Watcher services have access to, you can
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use the :ref:`Guru Meditation Reports <watcher_gmr>` to display them.
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.. _watcher_strategies:
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Strategies
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@ -90,6 +90,7 @@ Introduction
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deploy/installation
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deploy/user-guide
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deploy/gmr
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Watcher Manual Pages
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====================
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