Documentation on goal and efficacy

In this changeset, I wrote a documentation detailing how one can
implement a new goal plugin. I also mention to define the efficacy
specification for a given goal.

Partially Implements: blueprint efficacy-indicator

Change-Id: Iba267ae312f248b49d4600504f11678cdc225622
This commit is contained in:
Vincent Françoise
2016-05-20 14:28:08 +02:00
parent 442512cd71
commit 45801cf9c5
24 changed files with 1384 additions and 541 deletions

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@@ -150,12 +150,14 @@ This database stores all the Watcher domain objects which can be requested
by the :ref:`Watcher API <archi_watcher_api_definition>` or the
:ref:`Watcher CLI <archi_watcher_cli_definition>`:
- :ref:`Goals <goal_definition>`
- :ref:`Strategies <strategy_definition>`
- :ref:`Audit templates <audit_template_definition>`
- :ref:`Audits <audit_definition>`
- :ref:`Action plans <action_plan_definition>`
- :ref:`Efficacy indicators <efficacy_indicator_definition>` via the Action
Plan API.
- :ref:`Actions <action_definition>`
- :ref:`Goals <goal_definition>`
- :ref:`Strategies <strategy_definition>`
The Watcher domain being here "*optimization of some resources provided by an
OpenStack system*".
@@ -210,10 +212,10 @@ view (Goals, Audits, Action Plans, ...):
.. image:: ./images/functional_data_model.svg
:width: 100%
Here below is a class diagram representing the main objects in Watcher from a
Here below is a diagram representing the main objects in Watcher from a
database perspective:
.. image:: ./images/watcher_class_diagram.png
.. image:: ./images/watcher_db_schema_diagram.png
:width: 100%
@@ -297,9 +299,11 @@ This method finds an appropriate scheduling of
:ref:`Actions <action_definition>` taking into account some scheduling rules
(such as priorities between actions).
It generates a new :ref:`Action Plan <action_plan_definition>` with status
**RECOMMENDED** and saves it into the
:ref:`Watcher Database <watcher_database_definition>`. The saved action plan is
now a scheduled flow of actions.
**RECOMMENDED** and saves it into the:ref:`Watcher Database
<watcher_database_definition>`. The saved action plan is now a scheduled flow
of actions to which a global efficacy is associated alongside a number of
:ref:`Efficacy Indicators <efficacy_indicator_definition>` as specified by the
related :ref:`goal <goal_definition>`.
If every step executed successfully, the
:ref:`Watcher Decision Engine <watcher_decision_engine_definition>` updates
@@ -308,6 +312,11 @@ the current status of the Audit to **SUCCEEDED** in the
on the bus to inform other components that the :ref:`Audit <audit_definition>`
was successful.
This internal workflow the Decision Engine follows to conduct an audit can be
seen in the sequence diagram here below:
.. image:: ./images/sequence_from_audit_execution_to_actionplan_creation.png
:width: 100%
.. _sequence_diagrams_launch_action_plan:

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@@ -4,6 +4,8 @@
https://creativecommons.org/licenses/by/3.0/
.. _implement_action_plugin:
==================
Build a new action
==================

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@@ -0,0 +1,215 @@
..
Except where otherwise noted, this document is licensed under Creative
Commons Attribution 3.0 License. You can view the license at:
https://creativecommons.org/licenses/by/3.0/
.. _implement_goal_plugin:
================
Build a new goal
================
Watcher Decision Engine has an external :ref:`goal <goal_definition>`
plugin interface which gives anyone the ability to integrate an external
goal which can be achieved by a :ref:`strategy <strategy_definition>`.
This section gives some guidelines on how to implement and integrate custom
goals with Watcher. If you wish to create a third-party package for your
plugin, you can refer to our :ref:`documentation for third-party package
creation <plugin-base_setup>`.
Pre-requisites
==============
Before using any goal, please make sure that none of the existing goals fit
your needs. Indeed, the underlying value of defining a goal is to be able to
compare the efficacy of the action plans resulting from the various strategies
satisfying the same goal. By doing so, Watcher can assist the administrator
in his choices.
Create a new plugin
===================
In order to create a new goal, you have to:
- Extend the :py:class:`~.base.Goal` class.
- Implement its :py:meth:`~.Goal.get_name` class method to return the
**unique** ID of the new goal you want to create. This unique ID should
be the same as the name of :ref:`the entry point you will declare later on
<goal_plugin_add_entrypoint>`.
- Implement its :py:meth:`~.Goal.get_display_name` class method to
return the translated display name of the goal you want to create.
Note: Do not use a variable to return the translated string so it can be
automatically collected by the translation tool.
- Implement its :py:meth:`~.Goal.get_translatable_display_name`
class method to return the translation key (actually the english display
name) of your new goal. The value return should be the same as the
string translated in :py:meth:`~.Goal.get_display_name`.
- Implement its :py:meth:`~.Goal.get_efficacy_specification` method to return
the :ref:`efficacy specification <efficacy_specification_definition>` for
your goal.
Here is an example showing how you can define a new ``NewGoal`` goal plugin:
.. code-block:: python
# filepath: thirdparty/new.py
# import path: thirdparty.new
from watcher._i18n import _
from watcher.decision_engine.goal.efficacy import specs
from watcher.decision_engine.strategy.strategies import base
class NewGoal(base.Goal):
@classmethod
def get_name(cls):
return "new_goal" # Will be the name of the entry point
@classmethod
def get_display_name(cls):
return _("New Goal")
@classmethod
def get_translatable_display_name(cls):
return "New Goal"
@classmethod
def get_efficacy_specification(cls):
return specs.UnclassifiedStrategySpecification()
As you may have noticed, the :py:meth:`~.Goal.get_efficacy_specification`
method returns an :py:meth:`~.UnclassifiedStrategySpecification` instance which
is provided by Watcher. This efficacy specification is useful during the
development process of your goal as it corresponds to an empty specification.
If you want to learn more about what efficacy specifications are used for or to
define your own efficacy specification, please refer to the :ref:`related
section below <implement_efficacy_specification>`.
Abstract Plugin Class
=====================
Here below is the abstract :py:class:`~.base.Goal` class:
.. autoclass:: watcher.decision_engine.goal.base.Goal
:members:
:noindex:
.. _goal_plugin_add_entrypoint:
Add a new entry point
=====================
In order for the Watcher Decision Engine to load your new goal, the
goal must be registered as a named entry point under the ``watcher_goals``
entry point namespace of your ``setup.py`` file. If you are using pbr_, this
entry point should be placed in your ``setup.cfg`` file.
The name you give to your entry point has to be unique and should be the same
as the value returned by the :py:meth:`~.base.Goal.get_name` class method of
your goal.
Here below is how you would proceed to register ``NewGoal`` using pbr_:
.. code-block:: ini
[entry_points]
watcher_goals =
new_goal = thirdparty.new:NewGoal
To get a better understanding on how to implement a more advanced goal,
have a look at the :py:class:`~.ServerConsolidation` class.
.. _pbr: http://docs.openstack.org/developer/pbr/
.. _implement_efficacy_specification:
Implement a customized efficacy specification
=============================================
What is it for?
---------------
Efficacy specifications define a set of specifications for a given goal.
These specifications actually define a list of indicators which are to be used
to compute a global efficacy that outlines how well a strategy performed when
trying to achieve the goal it is associated to.
The idea behind such specification is to give the administrator the possibility
to run an audit using different strategies satisfying the same goal and be able
to judge how they performed at a glance.
Implementation
--------------
In order to create a new efficacy specification, you have to:
- Extend the :py:class:`~.EfficacySpecification` class.
- Implement :py:meth:`~.EfficacySpecification.get_indicators_specifications`
by returning a list of :py:class:`~.IndicatorSpecification` instances.
* Each :py:class:`~.IndicatorSpecification` instance should actually extend
the latter.
* Each indicator specification should have a **unique name** which should be
a valid Python variable name.
* They should implement the :py:attr:`~.EfficacySpecification.schema`
abstract property by returning a :py:class:`~.voluptuous.Schema` instance.
This schema is the contract the strategy will have to comply with when
setting the value associated to the indicator specification within its
solution (see the :ref:`architecture of Watcher
<sequence_diagrams_create_and_launch_audit>` for more information on
the audit execution workflow).
- Implement the :py:meth:`~.EfficacySpecification.get_global_efficacy` method:
it should compute the global efficacy for the goal it achieves based on the
efficacy indicators you just defined.
Here below is an example of an efficacy specification containing one indicator
specification:
.. code-block:: python
from watcher._i18n import _
from watcher.decision_engine.goal.efficacy import base as efficacy_base
from watcher.decision_engine.goal.efficacy import indicators
from watcher.decision_engine.solution import efficacy
class IndicatorExample(IndicatorSpecification):
def __init__(self):
super(IndicatorExample, self).__init__(
name="indicator_example",
description=_("Example of indicator specification."),
unit=None,
)
@property
def schema(self):
return voluptuous.Schema(voluptuous.Range(min=0), required=True)
class UnclassifiedStrategySpecification(efficacy_base.EfficacySpecification):
def get_indicators_specifications(self):
return [IndicatorExample()]
def get_global_efficacy(self, indicators_map):
return efficacy.Indicator(
name="global_efficacy_indicator",
description="Example of global efficacy indicator",
unit="%",
value=indicators_map.indicator_example % 100)
To get a better understanding on how to implement an efficacy specification,
have a look at :py:class:`~.ServerConsolidationSpecification`.
Also, if you want to see a concrete example of an indicator specification,
have a look at :py:class:`~.ReleasedComputeNodesCount`.

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@@ -11,9 +11,10 @@ Build a new planner
===================
Watcher :ref:`Decision Engine <watcher_decision_engine_definition>` has an
external :ref:`planner <planner_definition>` plugin interface which gives
anyone the ability to integrate an external :ref:`planner <planner_definition>`
in order to extend the initial set of planners Watcher provides.
external :ref:`planner <watcher_planner_definition>` plugin interface which
gives anyone the ability to integrate an external :ref:`planner
<watcher_planner_definition>` in order to extend the initial set of planners
Watcher provides.
This section gives some guidelines on how to implement and integrate custom
planners with Watcher.

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@@ -28,8 +28,8 @@ configured so that it would provide you all the metrics you need to be able to
use your strategy.
Create a new plugin
===================
Create a new strategy plugin
============================
In order to create a new strategy, you have to:
@@ -53,6 +53,8 @@ Here is an example showing how you can write a plugin called ``NewStrategy``:
.. code-block:: python
# filepath: thirdparty/new.py
# import path: thirdparty.new
import abc
import six
@@ -88,9 +90,12 @@ Here is an example showing how you can write a plugin called ``NewStrategy``:
As you can see in the above example, the :py:meth:`~.BaseStrategy.execute`
method returns a :py:class:`~.BaseSolution` instance as required. This solution
is what wraps the abstract set of actions the strategy recommends to you. This
solution is then processed by a :ref:`planner <planner_definition>` to produce
an action plan which contains the sequenced flow of actions to be
executed by the :ref:`Watcher Applier <watcher_applier_definition>`.
solution is then processed by a :ref:`planner <watcher_planner_definition>` to
produce an action plan which contains the sequenced flow of actions to be
executed by the :ref:`Watcher Applier <watcher_applier_definition>`. This
solution also contains the various :ref:`efficacy indicators
<efficacy_indicator_definition>` alongside its computed :ref:`global efficacy
<efficacy_definition>`.
Please note that your strategy class will expect to find the same constructor
signature as BaseStrategy to instantiate you strategy. Therefore, you should
@@ -98,7 +103,7 @@ ensure that your ``__init__`` signature is identical to the
:py:class:`~.BaseStrategy` one.
Create a new goal
Strategy efficacy
=================
As stated before, the ``NewStrategy`` class extends a class called
@@ -106,126 +111,12 @@ As stated before, the ``NewStrategy`` class extends a class called
abstract methods which are defined within the :py:class:`~.BaseStrategy` parent
class.
Once you are confident in your strategy plugin, the next step is now to
classify your goal by assigning it a proper goal. To do so, you can either
reuse existing goals defined in Watcher. As of now, four goal-oriented abstract
classes are defined in Watcher:
- :py:class:`~.UnclassifiedStrategy` which is the one I mentioned up until now.
- :py:class:`~.DummyBaseStrategy` which is used by :py:class:`~.DummyStrategy`
for testing purposes.
- :py:class:`~.ServerConsolidationBaseStrategy`
- :py:class:`~.ThermalOptimizationBaseStrategy`
If none of the above actually correspond to the goal your new strategy
achieves, you can define a brand new one. To do so, you need to:
- Extend the :py:class:`~.BaseStrategy` class to make your new goal-oriented
strategy abstract class :
- Implement its :py:meth:`~.BaseStrategy.get_goal_name` class method to
return the **unique** ID of the goal you want to achieve.
- Implement its :py:meth:`~.BaseStrategy.get_goal_display_name` class method
to return the translated display name of the goal you want to achieve.
Note: Do not use a variable to return the translated string so it can be
automatically collected by the translation tool.
- Implement its :py:meth:`~.BaseStrategy.get_translatable_goal_display_name`
class method to return the goal translation key (actually the english
display name). The value return should be the same as the string translated
in :py:meth:`~.BaseStrategy.get_goal_display_name`.
Here is an example showing how you can define a new ``NEW_GOAL`` goal and
modify your ``NewStrategy`` plugin so it now achieves the latter:
.. code-block:: python
import abc
import six
from watcher._i18n import _
from watcher.decision_engine.strategy.strategies import base
@six.add_metaclass(abc.ABCMeta)
class NewGoalBaseStrategy(base.BaseStrategy):
@classmethod
def get_goal_name(cls):
return "NEW_GOAL"
@classmethod
def get_goal_display_name(cls):
return _("New goal")
@classmethod
def get_translatable_goal_display_name(cls):
return "New goal"
class NewStrategy(NewGoalBaseStrategy):
def __init__(self, config, osc=None):
super(NewStrategy, self).__init__(config, osc)
def execute(self, original_model):
self.solution.add_action(action_type="nop",
input_parameters=parameters)
# Do some more stuff here ...
return self.solution
@classmethod
def get_name(cls):
return "new_strategy"
@classmethod
def get_display_name(cls):
return _("New strategy")
@classmethod
def get_translatable_display_name(cls):
return "New strategy"
Define configuration parameters
===============================
At this point, you have a fully functional strategy. However, in more complex
implementation, you may want to define some configuration options so one can
tune the strategy to its needs. To do so, you can implement the
:py:meth:`~.Loadable.get_config_opts` class method as followed:
.. code-block:: python
from oslo_config import cfg
class NewStrategy(NewGoalBaseStrategy):
# [...]
def execute(self, original_model):
assert self.config.test_opt == 0
# [...]
def get_config_opts(self):
return [
cfg.StrOpt('test_opt', help="Demo Option.", default=0),
# Some more options ...
]
The configuration options defined within this class method will be included
within the global ``watcher.conf`` configuration file under a section named by
convention: ``{namespace}.{plugin_name}``. In our case, the ``watcher.conf``
configuration would have to be modified as followed:
.. code-block:: ini
[watcher_strategies.new_strategy]
# Option used for testing.
test_opt = test_value
Then, the configuration options you define within this method will then be
injected in each instantiated object via the ``config`` parameter of the
:py:meth:`~.BaseStrategy.__init__` method.
One thing this :py:class:`~.UnclassifiedStrategy` class defines is that our
``NewStrategy`` achieves the ``unclassified`` goal. This goal is a peculiar one
as it does not contain any indicator nor does it calculate a global efficacy.
This proves itself to be quite useful during the development of a new strategy
for which the goal has yet to be defined or in case a :ref:`new goal
<implement_goal_plugin>` has yet to be implemented.
Abstract Plugin Class
@@ -249,16 +140,16 @@ strategy must be registered as a named entry point under the
pbr_, this entry point should be placed in your ``setup.cfg`` file.
The name you give to your entry point has to be unique and should be the same
as the value returned by the :py:meth:`~.BaseStrategy.get_id` class method of
as the value returned by the :py:meth:`~.BaseStrategy.get_name` class method of
your strategy.
Here below is how you would proceed to register ``DummyStrategy`` using pbr_:
Here below is how you would proceed to register ``NewStrategy`` using pbr_:
.. code-block:: ini
[entry_points]
watcher_strategies =
dummy_strategy = thirdparty.dummy:DummyStrategy
new_strategy = thirdparty.new:NewStrategy
To get a better understanding on how to implement a more advanced strategy,

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@@ -13,6 +13,13 @@ In this section we present all the plugins that are shipped along with Watcher.
If you want to know which plugins your Watcher services have access to, you can
use the :ref:`Guru Meditation Reports <watcher_gmr>` to display them.
.. _watcher_goals:
Goals
=====
.. drivers-doc:: watcher_goals
.. _watcher_strategies:
Strategies

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@@ -131,7 +131,8 @@ can potentially be hosted on a dedicated machine.
Compute node
============
Please, read `the official OpenStack definition of a Compute Node <http://docs.openstack.org/openstack-ops/content/compute_nodes.html>`_.
Please, read `the official OpenStack definition of a Compute Node
<http://docs.openstack.org/openstack-ops/content/compute_nodes.html>`_.
.. _customer_definition:
@@ -211,7 +212,23 @@ Here are some examples of
- `Sahara Hadoop Cluster <http://docs.openstack.org/developer/heat/template_guide/openstack.html#OS::Sahara::Cluster>`_
- ...
It can be any of the `the official list of available resource types defined in OpenStack for HEAT <http://docs.openstack.org/developer/heat/template_guide/openstack.html>`_.
It can be any of the `the official list of available resource types defined in
OpenStack for HEAT
<http://docs.openstack.org/developer/heat/template_guide/openstack.html>`_.
.. _efficacy_indicator_definition:
Efficacy Indicator
==================
.. watcher-term:: watcher.api.controllers.v1.efficacy_indicator
.. _efficacy_specification_definition:
Efficacy Specification
======================
.. watcher-term:: watcher.api.controllers.v1.efficacy_specification
.. _efficacy_definition:
@@ -234,14 +251,15 @@ to be launched).
For example, if the :ref:`Goal <goal_definition>` is to lower the energy
consumption, the :ref:`Efficacy <efficacy_definition>` will be computed
using several indicators (KPIs):
using several :ref:`efficacy indicators <efficacy_indicator_definition>`
(KPIs):
- the percentage of energy gain (which must be the highest possible)
- the number of :ref:`SLA violations <sla_violation_definition>`
(which must be the lowest possible)
- the number of virtual machine migrations (which must be the lowest possible)
All those indicators (KPIs) are computed within a given timeframe, which is the
All those indicators are computed within a given timeframe, which is the
time taken to execute the whole :ref:`Action Plan <action_plan_definition>`.
The efficacy also enables the :ref:`Administrator <administrator_definition>`
@@ -259,7 +277,8 @@ OpenStack should be owned by a specific :ref:`project <project_definition>`.
In OpenStack Identity, a :ref:`project <project_definition>` must be owned by a
specific domain.
Please, read `the official OpenStack definition of a Project <http://docs.openstack.org/glossary/content/glossary.html>`_.
Please, read `the official OpenStack definition of a Project
<http://docs.openstack.org/glossary/content/glossary.html>`_.
.. _sla_definition:
@@ -364,4 +383,3 @@ Watcher Planner
===============
.. watcher-term:: watcher.decision_engine.planner.base

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@@ -0,0 +1,44 @@
@startuml
skinparam maxMessageSize 200
"Decision Engine" -> "Decision Engine" : Execute audit
activate "Decision Engine"
"Decision Engine" -> "Decision Engine" : Set the audit state to ONGOING
"Decision Engine" -> "Strategy selector" : Select strategy
activate "Strategy selector"
alt A specific strategy is provided
"Strategy selector" -> "Strategy selector" : Load strategy and inject the \
cluster data model
else Only a goal is specified
"Strategy selector" -> "Strategy selector" : select strategy
"Strategy selector" -> "Strategy selector" : Load strategy and inject the \
cluster data model
end
"Strategy selector" -> "Decision Engine" : Return loaded Strategy
deactivate "Strategy selector"
"Decision Engine" -> "Strategy" : Execute the strategy
activate "Strategy"
"Strategy" -> "Strategy" : **pre_execute()**Checks if the strategy \
pre-requisites are all set.
"Strategy" -> "Strategy" : **do_execute()**Contains the logic of the strategy
"Strategy" -> "Strategy" : **post_execute()** Set the efficacy indicators
"Strategy" -> "Strategy" : Compute the global efficacy of the solution \
based on the provided efficacy indicators
"Strategy" -> "Decision Engine" : Return the solution
deactivate "Strategy"
"Decision Engine" -> "Planner" : Plan the solution that was computed by the \
strategy
activate "Planner"
"Planner" -> "Planner" : Store the planned solution as an action plan with its \
related actions and efficacy indicators
"Planner" --> "Decision Engine" : Done
deactivate "Planner"
"Decision Engine" -> "Decision Engine" : Update the audit state to SUCCEEDED
deactivate "Decision Engine"
@enduml

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@@ -1,31 +1,54 @@
@startuml
"AMQP Bus" -> "Watcher Decision Engine" : trigger_audit(new_audit.uuid)
"Watcher Decision Engine" -> "Watcher Database" : update audit.state = ONGOING
"AMQP Bus" <[#blue]- "Watcher Decision Engine" : notify new audit state = ONGOING
"Watcher Decision Engine" -> "Watcher Database" : get audit parameters(goal, ...)
"Watcher Decision Engine" <-- "Watcher Database" : audit parameters(goal, ...)
skinparam maxMessageSize 100
"AMQP Bus" -> "Decision Engine" : trigger audit
activate "Decision Engine"
"Decision Engine" -> "Database" : update audit.state = ONGOING
"AMQP Bus" <[#blue]- "Decision Engine" : notify new audit state = ONGOING
"Decision Engine" -> "Database" : get audit parameters (goal, strategy, ...)
"Decision Engine" <-- "Database" : audit parameters (goal, strategy, ...)
"Decision Engine" --> "Decision Engine": select appropriate \
optimization strategy (via the Strategy Selector)
create Strategy
"Watcher Decision Engine" -[#red]> "Strategy": select appropriate\noptimization strategy
loop while enough data to build cluster data model
"Watcher Decision Engine" -> "Nova API" : get resource state (host, instance, ...)
"Watcher Decision Engine" <-- "Nova API" : resource state
end
"Watcher Decision Engine" -[#red]> "Watcher Decision Engine": build cluster_data_model
"Watcher Decision Engine" -> "Strategy" : execute(cluster_data_model)
"Decision Engine" -> "Strategy" : execute()
activate "Strategy"
create "Cluster Data Model Collector"
"Strategy" -> "Cluster Data Model Collector" : get cluster data model
activate "Cluster Data Model Collector"
loop while enough data to build cluster data model
"Cluster Data Model Collector" -> "Nova API" : get resource state (\
host, instance, ...)
"Cluster Data Model Collector" <-- "Nova API" : resource state
end
"Cluster Data Model Collector" -> "Strategy" : cluster data model
deactivate "Cluster Data Model Collector"
loop while enough history data for the strategy
"Strategy" -> "Ceilometer API": get_aggregated_metrics\n(resource_id,meter_name,period,aggregate_method)
"Strategy" <-- "Ceilometer API": aggregated metrics
"Strategy" -> "Ceilometer API": get necessary metrics
"Strategy" <-- "Ceilometer API": aggregated metrics
end
"Strategy" -> "Strategy" : compute solution to achieve goal
"Watcher Decision Engine" <-- "Strategy" : solution = array of actions (i.e. not scheduled yet)
create "Watcher Planner"
"Watcher Decision Engine" -[#red]> "Watcher Planner": select appropriate actions scheduler (i.e. Planner implementation)
"Watcher Decision Engine" -> "Watcher Planner": schedule(audit_id, solution)
"Watcher Planner" -> "Watcher Planner": schedule actions according to\nscheduling rules/policies
"Watcher Decision Engine" <-- "Watcher Planner": new action_plan
"Watcher Decision Engine" -> "Watcher Database" : save new action_plan in database
"Watcher Decision Engine" -> "Watcher Database" : update audit.state = SUCCEEDED
"AMQP Bus" <[#blue]- "Watcher Decision Engine" : notify new audit state = SUCCEEDED
"Strategy" -> "Strategy" : compute/set needed actions for the solution \
so it achieves its goal
"Strategy" -> "Strategy" : compute/set efficacy indicators for the solution
"Strategy" -> "Strategy" : compute/set the solution global efficacy
"Decision Engine" <-- "Strategy" : solution (contains a list of unordered \
actions alongside its efficacy indicators as well as its global efficacy)
deactivate "Strategy"
"Decision Engine" --> "Planner": load actions scheduler (i.e. Planner plugin)
create "Planner"
"Decision Engine" -> "Planner": schedule()
"Planner" -> "Planner": schedule actions according to \
scheduling rules/policies
"Decision Engine" <-- "Planner": new action plan
"Decision Engine" -> "Database" : save new action plan in database
"Decision Engine" -> "Database" : update audit.state = SUCCEEDED
"AMQP Bus" <[#blue]- "Decision Engine" : notify new audit state = SUCCEEDED
deactivate "Decision Engine"
@enduml

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@@ -1,87 +0,0 @@
@startuml
abstract class Base {
// Timestamp mixin
DateTime created_at
DateTime updated_at
// Soft Delete mixin
DateTime deleted_at
Integer deleted // default = 0
}
class Strategy {
**Integer id** // primary_key
String uuid // length = 36
String name // length = 63, nullable = false
String display_name // length = 63, nullable = false
<i>Integer goal_id</i> // ForeignKey('goals.id'), nullable = false
}
class Goal {
**Integer id** // primary_key
String uuid // length = 36
String name // length = 63, nullable = false
String display_name // length = 63, nullable=False
}
class AuditTemplate {
**Integer id** // primary_key
String uuid // length = 36
String name // length = 63, nullable = true
String description // length = 255, nullable = true
Integer host_aggregate // nullable = true
<i>Integer goal_id</i> // ForeignKey('goals.id'), nullable = false
<i>Integer strategy_id</i> // ForeignKey('strategies.id'), nullable = true
JsonString extra
String version // length = 15, nullable = true
}
class Audit {
**Integer id** // primary_key
String uuid // length = 36
String type // length = 20
String state // length = 20, nullable = true
DateTime deadline // nullable = true
<i>Integer audit_template_id</i> // ForeignKey('audit_templates.id') \
nullable = false
}
class Action {
**Integer id** // primary_key
String uuid // length = 36, nullable = false
<i>Integer action_plan_id</i> // ForeignKey('action_plans.id'), nullable = false
String action_type // length = 255, nullable = false
JsonString input_parameters // nullable = true
String state // length = 20, nullable = true
String next // length = 36, nullable = true
}
class ActionPlan {
**Integer id** // primary_key
String uuid // length = 36
Integer first_action_id //
<i>Integer audit_id</i> // ForeignKey('audits.id'), nullable = true
String state // length = 20, nullable = true
}
"Base" <|-- "Strategy"
"Base" <|-- "Goal"
"Base" <|-- "AuditTemplate"
"Base" <|-- "Audit"
"Base" <|-- "Action"
"Base" <|-- "ActionPlan"
"Goal" <.. "Strategy" : Foreign Key
"Goal" <.. "AuditTemplate" : Foreign Key
"Strategy" <.. "AuditTemplate" : Foreign Key
"AuditTemplate" <.. "Audit" : Foreign Key
"ActionPlan" <.. "Action" : Foreign Key
"Audit" <.. "ActionPlan" : Foreign Key
@enduml

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@@ -0,0 +1,122 @@
@startuml
!define table(x) class x << (T,#FFAAAA) >>
!define primary_key(x) <u>x</u>
!define foreign_key(x) <i><u>x</u></i>
hide methods
hide stereotypes
table(goal) {
primary_key(id: Integer)
uuid : String[36]
name : String[63]
display_name : String[63]
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
table(strategy) {
primary_key(id: Integer)
foreign_key(goal_id : Integer)
uuid : String[36]
name : String[63]
display_name : String[63]
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
table(audit_template) {
primary_key(id: Integer)
foreign_key("goal_id : Integer")
foreign_key("strategy_id : Integer, nullable")
uuid : String[36]
name : String[63], nullable
description : String[255], nullable
host_aggregate : Integer, nullable
extra : JSONEncodedDict
version : String[15], nullable
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
table(audit) {
primary_key(id: Integer)
foreign_key("audit_template_id : Integer")
uuid : String[36]
type : String[20]
state : String[20], nullable
deadline :DateTime, nullable
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
table(action_plan) {
primary_key(id: Integer)
foreign_key("audit_id : Integer, nullable")
uuid : String[36]
first_action_id : Integer
state : String[20], nullable
global_efficacy : JSONEncodedDict, nullable
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
table(action) {
primary_key(id: Integer)
foreign_key("action_plan_id : Integer")
uuid : String[36]
action_type : String[255]
input_parameters : JSONEncodedDict, nullable
state : String[20], nullable
next : String[36], nullable
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
table(efficacy_indicator) {
primary_key(id: Integer)
foreign_key("action_plan_id : Integer")
uuid : String[36]
name : String[63]
description : String[255], nullable
unit : String[63], nullable
value : Numeric
created_at : DateTime
updated_at : DateTime
deleted_at : DateTime
deleted : Integer
}
"goal" <.. "strategy" : Foreign Key
"goal" <.. "audit_template" : Foreign Key
"strategy" <.. "audit_template" : Foreign Key
"audit_template" <.. "audit" : Foreign Key
"action_plan" <.. "action" : Foreign Key
"action_plan" <.. "efficacy_indicator" : Foreign Key
"audit" <.. "action_plan" : Foreign Key
@enduml

View File

@@ -1,139 +1,600 @@
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@@ -73,6 +73,7 @@ Plugins
:maxdepth: 1
dev/plugin/base-setup
dev/plugin/goal-plugin
dev/plugin/strategy-plugin
dev/plugin/action-plugin
dev/plugin/planner-plugin