Fixed issue on compute nodes iteration

In this changeset, I fixed the issue with the basic server
consolidation strategy to now loop over all compute nodes
as expected instead of stopping after the first one.

Change-Id: If594f0df41e39dfb0ef8f0fce41822018490c4ec
Closes-bug: #1548874

.gitreview

@@ -2,3 +2,4 @@
 host=review.openstack.org
 port=29418
 project=openstack/watcher.git
+defaultbranch=stable/newton

README.rst

@@ -10,10 +10,8 @@ Watcher
 
 OpenStack Watcher provides a flexible and scalable resource optimization
 service for multi-tenant OpenStack-based clouds.
-Watcher provides a complete optimization loop-including everything from a
-metrics receiver, complex event processor and profiler, optimization processor
-and an action plan applier. This provides a robust framework to realize a wide
-range of cloud optimization goals, including the reduction of data center
+Watcher provides a robust framework to realize a wide range of cloud
+optimization goals, including the reduction of data center
 operating costs, increased system performance via intelligent virtual machine
 migration, increased energy efficiency-and more!
 

doc/source/architecture.rst

@@ -171,12 +171,12 @@ This component is responsible for computing a set of potential optimization
 :ref:`Actions <action_definition>` in order to fulfill
 the :ref:`Goal <goal_definition>` of an :ref:`Audit <audit_definition>`.
 
-It first reads the parameters of the :ref:`Audit <audit_definition>` from the
-associated :ref:`Audit Template <audit_template_definition>` and knows the
-:ref:`Goal <goal_definition>` to achieve.
+It first reads the parameters of the :ref:`Audit <audit_definition>` to know
+the :ref:`Goal <goal_definition>` to achieve.
 
-It then selects the most appropriate :ref:`Strategy <strategy_definition>`
-from the list of available strategies achieving this goal.
+Unless specified, it then selects the most appropriate :ref:`strategy
+<strategy_definition>` from the list of available strategies achieving this
+goal.
 
 The :ref:`Strategy <strategy_definition>` is then dynamically loaded (via
 `stevedore <http://docs.openstack.org/developer/stevedore/>`_). The
@@ -290,7 +290,7 @@ the Audit parameters from the
 :ref:`Watcher Database <watcher_database_definition>`. It instantiates the
 appropriate :ref:`strategy <strategy_definition>` (using entry points)
 given both the :ref:`goal <goal_definition>` and the strategy associated to the
-parent :ref:`audit template <audit_template_definition>` of the :ref:`Audit
+parent :ref:`audit template <audit_template_definition>` of the :ref:`audit
 <audit_definition>`. If no strategy is associated to the audit template, the
 strategy is dynamically selected by the Decision Engine.
 

doc/source/dev/plugin/scoring-engine-plugin.rst

@@ -0,0 +1,210 @@
+..
+      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_scoring_engine_plugin:
+
+==========================
+Build a new scoring engine
+==========================
+
+Watcher Decision Engine has an external :ref:`scoring engine
+<scoring_engine_definition>` plugin interface which gives anyone the ability
+to integrate an external scoring engine in order to make use of it in a
+:ref:`strategy <strategy_definition>`.
+
+This section gives some guidelines on how to implement and integrate custom
+scoring engines 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
+==============
+
+Because scoring engines execute a purely mathematical tasks, they typically do
+not have any additional dependencies. Additional requirements might be defined
+by specific scoring engine implementations. For example, some scoring engines
+might require to prepare learning data, which has to be loaded during the
+scoring engine startup. Some other might require some external services to be
+available (e.g. if the scoring infrastructure is running in the cloud).
+
+
+Create a new scoring engine plugin
+==================================
+
+In order to create a new scoring engine you have to:
+
+- Extend the :py:class:`~.ScoringEngine` class
+- Implement its :py:meth:`~.ScoringEngine.get_name` method to return the
+  **unique** ID of the new scoring engine you want to create. This unique ID
+  should be the same as the name of :ref:`the entry point we will declare later
+  on <scoring_engine_plugin_add_entrypoint>`.
+- Implement its :py:meth:`~.ScoringEngine.get_description` method to return the
+  user-friendly description of the implemented scoring engine. It might contain
+  information about algorithm used, learning data etc.
+- Implement its :py:meth:`~.ScoringEngine.get_metainfo` method to return the
+  machine-friendly metadata about this scoring engine. For example, it could be
+  a JSON formatted text with information about the data model used, its input
+  and output data format, column names, etc.
+- Implement its :py:meth:`~.ScoringEngine.calculate_score` method to return the
+  result calculated by this scoring engine.
+
+Here is an example showing how you can write a plugin called ``NewScorer``:
+
+.. code-block:: python
+
+    # filepath: thirdparty/new.py
+    # import path: thirdparty.new
+    from watcher.decision_engine.scoring import base
+
+
+    class NewScorer(base.ScoringEngine):
+
+        def get_name(self):
+            return 'new_scorer'
+
+        def get_description(self):
+            return ''
+
+        def get_metainfo(self):
+            return """{
+                "feature_columns": [
+                    "column1",
+                    "column2",
+                    "column3"],
+                "result_columns": [
+                    "value",
+                    "probability"]
+                }"""
+
+        def calculate_score(self, features):
+            return '[12, 0.83]'
+
+As you can see in the above example, the
+:py:meth:`~.ScoringEngine.calculate_score` method returns a string. Both this
+class and the client (caller) should perform all the necessary serialization
+or deserialization.
+
+
+(Optional) Create a new scoring engine container plugin
+=======================================================
+
+Optionally, it's possible to implement a container plugin, which can return a
+list of scoring engines. This list can be re-evaluated multiple times during
+the lifecycle of :ref:`Watcher Decision Engine
+<watcher_decision_engine_definition>` and synchronized with :ref:`Watcher
+Database <watcher_database_definition>` using the ``watcher-sync`` command line
+tool.
+
+Below is an example of a container using some scoring engine implementation
+that is simply made of a client responsible for communicating with a real
+scoring engine deployed as a web service on external servers:
+
+.. code-block:: python
+
+    class NewScoringContainer(base.ScoringEngineContainer):
+
+        @classmethod
+        def get_scoring_engine_list(self):
+            return [
+                RemoteScoringEngine(
+                    name='scoring_engine1',
+                    description='Some remote Scoring Engine 1',
+                    remote_url='http://engine1.example.com/score'),
+                RemoteScoringEngine(
+                    name='scoring_engine2',
+                    description='Some remote Scoring Engine 2',
+                    remote_url='http://engine2.example.com/score'),
+            ]
+
+
+Abstract Plugin Class
+=====================
+
+Here below is the abstract :py:class:`~.ScoringEngine` class:
+
+.. autoclass:: watcher.decision_engine.scoring.base.ScoringEngine
+    :members:
+    :special-members: __init__
+    :noindex:
+
+
+Abstract Plugin Container Class
+===============================
+
+Here below is the abstract :py:class:`~.ScoringContainer` class:
+
+.. autoclass:: watcher.decision_engine.scoring.base.ScoringEngineContainer
+    :members:
+    :special-members: __init__
+    :noindex:
+
+
+.. _scoring_engine_plugin_add_entrypoint:
+
+Add a new entry point
+=====================
+
+In order for the Watcher Decision Engine to load your new scoring engine, it
+must be registered as a named entry point under the ``watcher_scoring_engines``
+entry point 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:`~.ScoringEngine.get_name` method of your
+strategy.
+
+Here below is how you would proceed to register ``NewScorer`` using pbr_:
+
+.. code-block:: ini
+
+    [entry_points]
+    watcher_scoring_engines =
+        new_scorer = thirdparty.new:NewScorer
+
+
+To get a better understanding on how to implement a more advanced scoring
+engine, have a look at the :py:class:`~.DummyScorer` class. This implementation
+is not really using machine learning, but other than that it contains all the
+pieces which the "real" implementation would have.
+
+In addition, for some use cases there is a need to register a list (possibly
+dynamic, depending on the implementation and configuration) of scoring engines
+in a single plugin, so there is no need to restart :ref:`Watcher Decision
+Engine <watcher_decision_engine_definition>` every time such list changes. For
+these cases, an additional ``watcher_scoring_engine_containers`` entry point
+can be used.
+
+For the example how to use scoring engine containers, please have a look at
+the :py:class:`~.DummyScoringContainer` and the way it is configured in
+``setup.cfg``. For new containers it could be done like this:
+
+.. code-block:: ini
+
+    [entry_points]
+    watcher_scoring_engine_containers =
+        new_scoring_container = thirdparty.new:NewContainer
+
+.. _pbr: http://docs.openstack.org/developer/pbr/
+
+
+Using scoring engine plugins
+============================
+
+The Watcher Decision Engine service will automatically discover any installed
+plugins when it is restarted. If a Python package containing a custom plugin is
+installed within the same environment as Watcher, Watcher will automatically
+make that plugin available for use.
+
+At this point, Watcher will scan and register inside the :ref:`Watcher Database
+<watcher_database_definition>` all the scoring engines you implemented upon
+restarting the :ref:`Watcher Decision Engine
+<watcher_decision_engine_definition>`.
+
+In addition, ``watcher-sync`` tool can be used to trigger :ref:`Watcher
+Database <watcher_database_definition>` synchronization. This might be used for
+"dynamic" scoring containers, which can return different scoring engines based
+on some external configuration (if they support that).

doc/source/dev/plugins.rst

@@ -21,6 +21,22 @@ Goals
 .. list-plugins:: watcher_goals
    :detailed:
 
+.. _watcher_scoring_engines:
+
+Scoring Engines
+===============
+
+.. list-plugins:: watcher_scoring_engines
+   :detailed:
+
+.. _watcher_scoring_engine_containers:
+
+Scoring Engine Containers
+=========================
+
+.. list-plugins:: watcher_scoring_engine_containers
+   :detailed:
+
 .. _watcher_strategies:
 
 Strategies

doc/source/dev/rally_link.rst

@@ -0,0 +1 @@
+.. include:: ../../../rally-jobs/README.rst

doc/source/glossary.rst

@@ -280,6 +280,12 @@ specific domain.
 Please, read `the official OpenStack definition of a Project
 <http://docs.openstack.org/glossary/content/glossary.html>`_.
 
+.. _scoring_engine_definition:
+
+Scoring Engine
+==============
+
+.. watcher-term::  watcher.api.controllers.v1.scoring_engine
 
 .. _sla_definition:
 

doc/source/image_src/plantuml/watcher_db_schema_diagram.txt

@@ -5,11 +5,12 @@
 hide methods
 hide stereotypes
 
-table(goal) {
+table(goals) {
     primary_key(id: Integer)
     uuid : String[36]
     name : String[63]
     display_name : String[63]
+    efficacy_specification : JSONEncodedList, nullable
 
     created_at : DateTime
     updated_at : DateTime
@@ -18,12 +19,13 @@ table(goal) {
 }
 
 
-table(strategy) {
+table(strategies) {
     primary_key(id: Integer)
     foreign_key(goal_id : Integer)
     uuid : String[36]
     name : String[63]
     display_name : String[63]
+    parameters_spec : JSONEncodedDict, nullable
 
     created_at : DateTime
     updated_at : DateTime
@@ -32,7 +34,7 @@ table(strategy) {
 }
 
 
-table(audit_template) {
+table(audit_templates) {
     primary_key(id: Integer)
     foreign_key("goal_id : Integer")
     foreign_key("strategy_id : Integer, nullable")
@@ -50,14 +52,17 @@ table(audit_template) {
 }
 
 
-table(audit) {
+table(audits) {
     primary_key(id: Integer)
-    foreign_key("audit_template_id : Integer")
+    foreign_key("goal_id : Integer")
+    foreign_key("strategy_id : Integer, nullable")
     uuid : String[36]
     audit_type : String[20]
     state : String[20], nullable
-    deadline  :DateTime, nullable
+    deadline : DateTime, nullable
     interval : Integer, nullable
+    parameters : JSONEncodedDict, nullable
+    host_aggregate : Integer, nullable
 
     created_at : DateTime
     updated_at : DateTime
@@ -66,9 +71,10 @@ table(audit) {
 }
 
 
-table(action_plan) {
+table(action_plans) {
     primary_key(id: Integer)
     foreign_key("audit_id : Integer, nullable")
+    foreign_key("strategy_id : Integer")
     uuid : String[36]
     first_action_id : Integer
     state : String[20], nullable
@@ -81,7 +87,7 @@ table(action_plan) {
 }
 
 
-table(action) {
+table(actions) {
     primary_key(id: Integer)
     foreign_key("action_plan_id : Integer")
     uuid : String[36]
@@ -97,7 +103,7 @@ table(action) {
 }
 
 
-table(efficacy_indicator) {
+table(efficacy_indicators) {
     primary_key(id: Integer)
     foreign_key("action_plan_id : Integer")
     uuid : String[36]
@@ -112,12 +118,27 @@ table(efficacy_indicator) {
     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
+table(scoring_engines) {
+    primary_key(id: Integer)
+    uuid : String[36]
+    name : String[63]
+    description : String[255], nullable
+    metainfo : Text, nullable
+
+    created_at : DateTime
+    updated_at : DateTime
+    deleted_at : DateTime
+    deleted : Integer
+}
+
+ "goals" <.. "strategies" : Foreign Key
+ "goals" <.. "audit_templates" : Foreign Key
+ "strategies" <.. "audit_templates" : Foreign Key
+ "goals" <.. "audits" : Foreign Key
+ "strategies" <.. "audits" : Foreign Key
+ "action_plans" <.. "actions" : Foreign Key
+ "action_plans" <.. "efficacy_indicators" : Foreign Key
+ "strategies" <.. "action_plans" : Foreign Key
+ "audits" <.. "action_plans" : Foreign Key
 
 @enduml

doc/source/index.rst

@@ -57,6 +57,7 @@ Getting Started
   deploy/configuration
   deploy/conf-files
   dev/testing
+  dev/rally_link
 
 API References
 --------------
@@ -74,6 +75,7 @@ Plugins
 
   dev/plugin/base-setup
   dev/plugin/goal-plugin
+  dev/plugin/scoring-engine-plugin
   dev/plugin/strategy-plugin
   dev/plugin/cdmc-plugin
   dev/plugin/action-plugin

rally-jobs/README.rst

@@ -0,0 +1,42 @@
+Rally job
+=========
+
+We provide, with Watcher, a Rally plugin you can use to benchmark the optimization service.
+
+To launch this task with configured Rally you just need to run:
+
+::
+
+  rally task start watcher/rally-jobs/watcher.yaml
+
+Structure
+---------
+
+* plugins - directory where you can add rally plugins. Almost everything in
+  Rally is a plugin. Benchmark context, Benchmark scenario, SLA checks, Generic
+  cleanup resources, ....
+
+* extra - all files from this directory will be copy pasted to gates, so you
+  are able to use absolute paths in rally tasks.
+  Files will be located in ~/.rally/extra/*
+
+* watcher.yaml is a task that is run in gates against OpenStack
+  deployed by DevStack
+
+
+Useful links
+------------
+
+* How to install: http://docs.openstack.org/developer/rally/install.html
+
+* How to set Rally up and launch your first scenario:  https://rally.readthedocs.io/en/latest/tutorial/step_1_setting_up_env_and_running_benchmark_from_samples.html
+
+* More about Rally: https://rally.readthedocs.org/en/latest/
+
+* Rally release notes: https://rally.readthedocs.org/en/latest/release_notes.html
+
+* How to add rally-gates: https://rally.readthedocs.org/en/latest/gates.html
+
+* About plugins:  https://rally.readthedocs.org/en/latest/plugins.html
+
+* Plugin samples: https://github.com/openstack/rally/tree/master/samples/plugins

rally-jobs/watcher-watcher.yaml

@@ -0,0 +1,67 @@
+---
+  Watcher.create_audit_and_delete:
+    -
+      runner:
+        type: "constant"
+        times: 10
+        concurrency: 2
+      context:
+        users:
+          tenants: 2
+          users_per_tenant: 2
+        audit_templates:
+          audit_templates_per_admin: 5
+          fill_strategy: "round_robin"
+          params:
+            - goal:
+                  name: "dummy"
+              strategy:
+                  name: "dummy"
+              extra: {}
+      sla:
+        failure_rate:
+          max: 0
+
+  Watcher.create_audit_template_and_delete:
+    -
+      args:
+        goal:
+          name: "dummy"
+        strategy:
+          name: "dummy"
+        extra: {}
+      runner:
+        type: "constant"
+        times: 10
+        concurrency: 2
+      sla:
+        failure_rate:
+          max: 0
+
+  Watcher.list_audit_templates:
+    -
+      runner:
+        type: "constant"
+        times: 10
+        concurrency: 2
+      context:
+        users:
+          tenants: 2
+          users_per_tenant: 2
+        audit_templates:
+          audit_templates_per_admin: 5
+          fill_strategy: "random"
+          params:
+            - goal:
+                  name: "workload_balancing"
+              strategy:
+                  name: "workload_stabilization"
+              extra: {}
+            - goal:
+                  name: "dummy"
+              strategy:
+                  name: "dummy"
+              extra: {}
+      sla:
+        failure_rate:
+          max: 0

requirements.txt

@@ -7,11 +7,12 @@ enum34;python_version=='2.7' or python_version=='2.6' or python_version=='3.3' #
 jsonpatch>=1.1 # BSD
 keystoneauth1>=2.10.0 # Apache-2.0
 keystonemiddleware!=4.1.0,!=4.5.0,>=4.0.0 # Apache-2.0
+lxml>=2.3 # BSD
 oslo.concurrency>=3.8.0 # Apache-2.0
 oslo.cache>=1.5.0 # Apache-2.0
 oslo.config>=3.14.0 # Apache-2.0
 oslo.context>=2.9.0 # Apache-2.0
-oslo.db>=4.10.0 # Apache-2.0
+oslo.db!=4.13.1,!=4.13.2,>=4.10.0 # Apache-2.0
 oslo.i18n>=2.1.0 # Apache-2.0
 oslo.log>=1.14.0 # Apache-2.0
 oslo.messaging>=5.2.0 # Apache-2.0

setup.cfg

@@ -1,6 +1,6 @@
 [metadata]
 name = python-watcher
-summary = Watcher takes advantage of CEP and ML algorithms/metaheuristics to improve physical resources usage through better VM placement. Watcher can improve your cloud optimization by reducing energy footprint and increasing profits.
+summary = OpenStack Watcher provides a flexible and scalable resource optimization service for multi-tenant OpenStack-based clouds.
 description-file =
     README.rst
 author = OpenStack

tox.ini

@@ -1,16 +1,17 @@
 [tox]
-minversion = 1.6
+minversion = 1.8
 envlist = py35,py34,py27,pep8
 skipsdist = True
 
 [testenv]
 usedevelop = True
 whitelist_externals = find
-install_command = pip install -U {opts} {packages}
+install_command =
+                  constraints: pip install -U --force-reinstall -c{env:UPPER_CONSTRAINTS_FILE:https://git.openstack.org/cgit/openstack/requirements/plain/upper-constraints.txt?h=stable/newton} {opts} {packages}
+                  pip install -U {opts} {packages}
 setenv =
    VIRTUAL_ENV={envdir}
-deps = -r{toxinidir}/requirements.txt
-       -r{toxinidir}/test-requirements.txt
+deps = -r{toxinidir}/test-requirements.txt
 commands =
   find . -type f -name "*.pyc" -delete
   find . -type d -name "__pycache__" -delete
@@ -20,7 +21,7 @@ commands =
 commands =
     doc8 doc/source/ CONTRIBUTING.rst HACKING.rst README.rst
     flake8
-    bandit -r watcher -x tests -n5 -ll
+    bandit -r watcher -x tests -n5 -ll -s B320
 
 [testenv:venv]
 setenv = PYTHONHASHSEED=0
@@ -66,4 +67,4 @@ commands = sphinx-build -a -W -E -d releasenotes/build/doctrees -b html releasen
 
 [testenv:bandit]
 deps = -r{toxinidir}/test-requirements.txt
-commands = bandit -r watcher -x tests -n5 -ll
+commands = bandit -r watcher -x tests -n5 -ll -s B320

watcher/api/controllers/v1/scoring_engine.py

@@ -16,8 +16,10 @@
 # limitations under the License.
 
 """
-A :ref:`Scoring Engine <scoring_engine_definition>` is an instance of a data
-model, to which a learning data was applied.
+A :ref:`Scoring Engine <scoring_engine_definition>` is an executable that has
+a well-defined input, a well-defined output, and performs a purely mathematical
+task. That is, the calculation does not depend on the environment in which it
+is running - it would produce the same result anywhere.
 
 Because there might be multiple algorithms used to build a particular data
 model (and therefore a scoring engine), the usage of scoring engine might

watcher/api/hooks.py

@@ -18,6 +18,7 @@
 from oslo_config import cfg
 from oslo_utils import importutils
 from pecan import hooks
+from six.moves import http_client
 
 from watcher.common import context
 
@@ -95,18 +96,20 @@ class NoExceptionTracebackHook(hooks.PecanHook):
             return
 
         # Do nothing if there is no error.
-        if 200 <= state.response.status_int < 400:
+        # Status codes in the range 200 (OK) to 399 (400 = BAD_REQUEST) are not
+        # an error.
+        if (http_client.OK <= state.response.status_int <
+                http_client.BAD_REQUEST):
             return
 
         json_body = state.response.json
-        # Do not remove traceback when server in debug mode (except 'Server'
-        # errors when 'debuginfo' will be used for traces).
-        if cfg.CONF.debug and json_body.get('faultcode') != 'Server':
+        # Do not remove traceback when traceback config is set
+        if cfg.CONF.debug:
             return
 
         faultstring = json_body.get('faultstring')
         traceback_marker = 'Traceback (most recent call last):'
-        if faultstring and (traceback_marker in faultstring):
+        if faultstring and traceback_marker in faultstring:
             # Cut-off traceback.
             faultstring = faultstring.split(traceback_marker, 1)[0]
             # Remove trailing newlines and spaces if any.

watcher/api/middleware/parsable_error.py

@@ -27,14 +27,14 @@ from oslo_serialization import jsonutils
 import six
 import webob
 
-from watcher._i18n import _
-from watcher._i18n import _LE
+from watcher._i18n import _, _LE
 
 LOG = log.getLogger(__name__)
 
 
 class ParsableErrorMiddleware(object):
     """Replace error body with something the client can parse."""
+
     def __init__(self, app):
         self.app = app
 
@@ -59,8 +59,7 @@ class ParsableErrorMiddleware(object):
                     # compute the length.
                     headers = [(h, v)
                                for (h, v) in headers
-                               if h not in ('Content-Length', 'Content-Type')
-                               ]
+                               if h not in ('Content-Length', 'Content-Type')]
                 # Save the headers in case we need to modify them.
                 state['headers'] = headers
                 return start_response(status, headers, exc_info)
@@ -68,24 +67,27 @@ class ParsableErrorMiddleware(object):
         app_iter = self.app(environ, replacement_start_response)
         if (state['status_code'] // 100) not in (2, 3):
             req = webob.Request(environ)
-            if (req.accept.best_match(['application/json', 'application/xml']
-                                      ) == 'application/xml'):
+            if (
+                    req.accept.best_match(
+                        ['application/json',
+                         'application/xml']) == 'application/xml'
+            ):
                 try:
                     # simple check xml is valid
-                    body = [et.ElementTree.tostring(
-                            et.ElementTree.Element('error_message',
-                                                   text='\n'.join(app_iter)))]
+                    body = [
+                        et.ElementTree.tostring(
+                            et.ElementTree.Element(
+                                'error_message', text='\n'.join(app_iter)))]
                 except et.ElementTree.ParseError as err:
                     LOG.error(_LE('Error parsing HTTP response: %s'), err)
-                    body = [et.ElementTree.tostring(
-                            et.ElementTree.Element('error_message',
-                                                   text=state['status_code']))]
+                    body = ['<error_message>%s'
+                            '</error_message>' % state['status_code']]
                 state['headers'].append(('Content-Type', 'application/xml'))
             else:
                 if six.PY3:
                     app_iter = [i.decode('utf-8') for i in app_iter]
                 body = [jsonutils.dumps(
-                        {'error_message': '\n'.join(app_iter)})]
+                    {'error_message': '\n'.join(app_iter)})]
                 if six.PY3:
                     body = [item.encode('utf-8') for item in body]
                 state['headers'].append(('Content-Type', 'application/json'))

watcher/cmd/decisionengine.py

@@ -25,6 +25,7 @@ from oslo_log import log as logging
 
 from watcher._i18n import _LI
 from watcher.common import service as watcher_service
+from watcher.decision_engine import gmr
 from watcher.decision_engine import manager
 from watcher.decision_engine import scheduling
 from watcher.decision_engine import sync
@@ -35,6 +36,7 @@ CONF = cfg.CONF
 
 def main():
     watcher_service.prepare_service(sys.argv)
+    gmr.register_gmr_plugins()
 
     LOG.info(_LI('Starting Watcher Decision Engine service in PID %s'),
              os.getpid())

watcher/common/context.py

@@ -51,7 +51,7 @@ class RequestContext(context.RequestContext):
             show_deleted=kwargs.pop('show_deleted', False),
             request_id=request_id,
             resource_uuid=kwargs.pop('resource_uuid', None),
-            is_admin_project=kwargs.pop('is_admin_project', None),
+            is_admin_project=kwargs.pop('is_admin_project', True),
             overwrite=overwrite,
             roles=roles)
 

watcher/common/exception.py

@@ -207,7 +207,7 @@ class AuditTemplateAlreadyExists(Conflict):
 
 class AuditTemplateReferenced(Invalid):
     msg_fmt = _("AuditTemplate %(audit_template)s is referenced by one or "
-                "multiple audit")
+                "multiple audits")
 
 
 class AuditTypeNotFound(Invalid):
@@ -317,7 +317,7 @@ class AuthorizationFailure(WatcherException):
 
 
 class KeystoneFailure(WatcherException):
-    msg_fmt = _("'Keystone API endpoint is missing''")
+    msg_fmt = _("Keystone API endpoint is missing")
 
 
 class ClusterEmpty(WatcherException):
@@ -336,6 +336,10 @@ class ClusterStateNotDefined(WatcherException):
     msg_fmt = _("The cluster state is not defined")
 
 
+class CapacityNotDefined(WatcherException):
+    msg_fmt = _("The capacity %(capacity)s is not defined for '%(resource)s'")
+
+
 class NoAvailableStrategyForGoal(WatcherException):
     msg_fmt = _("No strategy could be found to achieve the '%(goal)s' goal.")
 

watcher/common/nova_helper.py

@@ -26,6 +26,8 @@ import cinderclient.exceptions as ciexceptions
 import novaclient.exceptions as nvexceptions
 
 from watcher.common import clients
+from watcher.common import exception
+from watcher.common import utils
 
 LOG = log.getLogger(__name__)
 
@@ -43,6 +45,24 @@ class NovaHelper(object):
     def get_compute_node_list(self):
         return self.nova.hypervisors.list()
 
+    def get_compute_node_by_id(self, node_id):
+        """Get compute node by ID (*not* UUID)"""
+        # We need to pass an object with an 'id' attribute to make it work
+        return self.nova.hypervisors.get(utils.Struct(id=node_id))
+
+    def get_compute_node_by_hostname(self, node_hostname):
+        """Get compute node by ID (*not* UUID)"""
+        # We need to pass an object with an 'id' attribute to make it work
+        try:
+            compute_nodes = self.nova.hypervisors.search(node_hostname)
+            if len(compute_nodes) != 1:
+                raise exception.ComputeNodeNotFound(name=node_hostname)
+
+            return self.get_compute_node_by_id(compute_nodes[0].id)
+        except Exception as exc:
+            LOG.exception(exc)
+            raise exception.ComputeNodeNotFound(name=node_hostname)
+
     def find_instance(self, instance_id):
         search_opts = {'all_tenants': True}
         instances = self.nova.servers.list(detailed=True,

watcher/common/service.py

@@ -272,4 +272,4 @@ def prepare_service(argv=(), conf=cfg.CONF):
     conf.log_opt_values(LOG, logging.DEBUG)
 
     gmr.TextGuruMeditation.register_section(_('Plugins'), opts.show_plugins)
-    gmr.TextGuruMeditation.setup_autorun(version)
+    gmr.TextGuruMeditation.setup_autorun(version, conf=conf)

watcher/common/utils.py

@@ -165,7 +165,7 @@ def extend_with_strict_schema(validator_class):
                 raise exception.AuditParameterNotAllowed(parameter=para)
 
             for error in validate_properties(
-                    validator, properties, instance, schema
+                validator, properties, instance, schema
             ):
                 yield error
 

watcher/decision_engine/gmr.py

@@ -0,0 +1,48 @@
+# -*- encoding: utf-8 -*-
+# Copyright (c) 2016 b<>com
+#
+# Authors: Vincent FRANCOISE <vincent.francoise@b-com.com>
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+# implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+from oslo_reports import guru_meditation_report as gmr
+
+from watcher._i18n import _
+from watcher.decision_engine.model.collector import manager
+
+
+def register_gmr_plugins():
+    """Register GMR plugins that are specific to watcher-decision-engine."""
+    gmr.TextGuruMeditation.register_section(_('CDMCs'), show_models)
+
+
+def show_models():
+    """Create a formatted output of all the CDMs
+
+    Mainly used as a Guru Meditation Report (GMR) plugin
+    """
+    mgr = manager.CollectorManager()
+
+    output = []
+    for name, cdmc in mgr.get_collectors().items():
+        output.append("")
+        output.append("~" * len(name))
+        output.append(name)
+        output.append("~" * len(name))
+        output.append("")
+
+        cdmc_struct = cdmc.cluster_data_model.to_string()
+        output.append(cdmc_struct)
+
+    return "\n".join(output)

watcher/decision_engine/model/collector/nova.py

@@ -83,7 +83,7 @@ class NovaClusterDataModelCollector(base.BaseClusterDataModelCollector):
         for n in nodes:
             service = self.wrapper.nova.services.find(id=n.service['id'])
             # create node in cluster_model_collector
-            node = element.ComputeNode()
+            node = element.ComputeNode(n.id)
             node.uuid = service.host
             node.hostname = n.hypervisor_hostname
             # set capacity
@@ -105,7 +105,10 @@ class NovaClusterDataModelCollector(base.BaseClusterDataModelCollector):
                 # set capacity
                 self.wrapper.get_flavor_instance(v, flavor_cache)
                 mem.set_capacity(instance, v.flavor['ram'])
+                # FIXME: update all strategies to use disk_capacity
+                # for instances instead of disk
                 disk.set_capacity(instance, v.flavor['disk'])
+                disk_capacity.set_capacity(instance, v.flavor['disk'])
                 num_cores.set_capacity(instance, v.flavor['vcpus'])
 
                 model.map_instance(instance, node)

watcher/decision_engine/model/element/node.py

@@ -28,8 +28,9 @@ class ServiceState(enum.Enum):
 
 class ComputeNode(compute_resource.ComputeResource):
 
-    def __init__(self):
+    def __init__(self, id):
         super(ComputeNode, self).__init__()
+        self.id = id
         self._state = ServiceState.ONLINE.value
         self._status = ServiceState.ENABLED.value
 

watcher/decision_engine/model/element/resource.py

@@ -16,6 +16,8 @@
 
 import enum
 
+from watcher.common import exception
+
 
 class ResourceType(enum.Enum):
     cpu_cores = 'num_cores'
@@ -50,12 +52,12 @@ class Resource(object):
     def unset_capacity(self, element):
         del self.mapping[element.uuid]
 
-    def get_capacity_from_id(self, uuid):
-        if str(uuid) in self.mapping.keys():
+    def get_capacity_by_uuid(self, uuid):
+        try:
             return self.mapping[str(uuid)]
-        else:
-            # TODO(jed) throw exception
-            return None
+        except KeyError:
+            raise exception.CapacityNotDefined(
+                capacity=self.name.value, resource=str(uuid))
 
     def get_capacity(self, element):
-        return self.get_capacity_from_id(element.uuid)
+        return self.get_capacity_by_uuid(element.uuid)

watcher/decision_engine/model/mapping.py

@@ -58,9 +58,9 @@ class Mapping(object):
         :param node: the node
         :param instance: the virtual machine or instance
         """
-        self.unmap_from_id(node.uuid, instance.uuid)
+        self.unmap_by_uuid(node.uuid, instance.uuid)
 
-    def unmap_from_id(self, node_uuid, instance_uuid):
+    def unmap_by_uuid(self, node_uuid, instance_uuid):
         """Remove the instance (by id) from the node (by id)
 
         :rtype : object
@@ -84,15 +84,15 @@ class Mapping(object):
         return self.compute_node_mapping
 
     def get_node_from_instance(self, instance):
-        return self.get_node_from_instance_id(instance.uuid)
+        return self.get_node_by_instance_uuid(instance.uuid)
 
-    def get_node_from_instance_id(self, instance_uuid):
+    def get_node_by_instance_uuid(self, instance_uuid):
         """Getting host information from the guest instance
 
         :param instance: the uuid of the instance
         :return: node
         """
-        return self.model.get_node_from_id(
+        return self.model.get_node_by_uuid(
             self.instance_mapping[str(instance_uuid)])
 
     def get_node_instances(self, node):
@@ -101,9 +101,9 @@ class Mapping(object):
         :param node:
         :return:
         """
-        return self.get_node_instances_from_id(node.uuid)
+        return self.get_node_instances_by_uuid(node.uuid)
 
-    def get_node_instances_from_id(self, node_uuid):
+    def get_node_instances_by_uuid(self, node_uuid):
         if str(node_uuid) in self.compute_node_mapping.keys():
             return self.compute_node_mapping[str(node_uuid)]
         else:

watcher/decision_engine/model/model_root.py

@@ -14,6 +14,9 @@
 # See the License for the specific language governing permissions and
 # limitations under the License.
 
+import collections
+
+from lxml import etree
 import six
 
 from watcher._i18n import _
@@ -74,9 +77,9 @@ class ModelRoot(object):
         :type node: str or :py:class:`~.Instance`
         """
         if isinstance(instance, six.string_types):
-            instance = self.get_instance_from_id(instance)
+            instance = self.get_instance_by_uuid(instance)
         if isinstance(node, six.string_types):
-            node = self.get_node_from_id(node)
+            node = self.get_node_by_uuid(node)
 
         self.add_instance(instance)
         self.mapping.map(node, instance)
@@ -90,17 +93,18 @@ class ModelRoot(object):
         :type node: str or :py:class:`~.Instance`
         """
         if isinstance(instance, six.string_types):
-            instance = self.get_instance_from_id(instance)
+            instance = self.get_instance_by_uuid(instance)
         if isinstance(node, six.string_types):
-            node = self.get_node_from_id(node)
+            node = self.get_node_by_uuid(node)
 
         self.add_instance(instance)
         self.mapping.unmap(node, instance)
 
-    def delete_instance(self, instance, node):
-        self.remove_instance(instance)
+    def delete_instance(self, instance, node=None):
+        if node is not None:
+            self.mapping.unmap(node, instance)
 
-        self.mapping.unmap(node, instance)
+        self.remove_instance(instance)
 
         for resource in self.resource.values():
             try:
@@ -127,17 +131,17 @@ class ModelRoot(object):
     def get_all_compute_nodes(self):
         return self._nodes
 
-    def get_node_from_id(self, node_uuid):
+    def get_node_by_uuid(self, node_uuid):
         if str(node_uuid) not in self._nodes:
             raise exception.ComputeNodeNotFound(name=node_uuid)
         return self._nodes[str(node_uuid)]
 
-    def get_instance_from_id(self, uuid):
+    def get_instance_by_uuid(self, uuid):
         if str(uuid) not in self._instances:
             raise exception.InstanceNotFound(name=uuid)
         return self._instances[str(uuid)]
 
-    def get_node_from_instance_id(self, instance_uuid):
+    def get_node_by_instance_uuid(self, instance_uuid):
         """Getting host information from the guest instance
 
         :param instance_uuid: the uuid of the instance
@@ -145,7 +149,7 @@ class ModelRoot(object):
         """
         if str(instance_uuid) not in self.mapping.instance_mapping:
             raise exception.InstanceNotFound(name=instance_uuid)
-        return self.get_node_from_id(
+        return self.get_node_by_uuid(
             self.mapping.instance_mapping[str(instance_uuid)])
 
     def get_all_instances(self):
@@ -157,5 +161,115 @@ class ModelRoot(object):
     def create_resource(self, r):
         self.resource[str(r.name)] = r
 
-    def get_resource_from_id(self, resource_id):
+    def get_resource_by_uuid(self, resource_id):
         return self.resource[str(resource_id)]
+
+    def get_node_instances(self, node):
+        return self.mapping.get_node_instances(node)
+
+    def _build_compute_node_element(self, compute_node):
+        attrib = collections.OrderedDict(
+            id=six.text_type(compute_node.id), uuid=compute_node.uuid,
+            human_id=compute_node.human_id, hostname=compute_node.hostname,
+            state=compute_node.state, status=compute_node.status)
+
+        for resource_name, resource in sorted(
+                self.resource.items(), key=lambda x: x[0]):
+            res_value = resource.get_capacity(compute_node)
+            if res_value is not None:
+                attrib[resource_name] = six.text_type(res_value)
+
+        compute_node_el = etree.Element("ComputeNode", attrib=attrib)
+
+        return compute_node_el
+
+    def _build_instance_element(self, instance):
+        attrib = collections.OrderedDict(
+            uuid=instance.uuid, human_id=instance.human_id,
+            hostname=instance.hostname, state=instance.state)
+
+        for resource_name, resource in sorted(
+                self.resource.items(), key=lambda x: x[0]):
+            res_value = resource.get_capacity(instance)
+            if res_value is not None:
+                attrib[resource_name] = six.text_type(res_value)
+
+        instance_el = etree.Element("Instance", attrib=attrib)
+
+        return instance_el
+
+    def to_string(self):
+        root = etree.Element("ModelRoot")
+        # Build compute node tree
+        for cn in sorted(self.get_all_compute_nodes().values(),
+                         key=lambda cn: cn.uuid):
+            compute_node_el = self._build_compute_node_element(cn)
+
+            # Build mapped instance tree
+            node_instance_uuids = self.get_node_instances(cn)
+            for instance_uuid in sorted(node_instance_uuids):
+                instance = self.get_instance_by_uuid(instance_uuid)
+                instance_el = self._build_instance_element(instance)
+                compute_node_el.append(instance_el)
+
+            root.append(compute_node_el)
+
+        # Build unmapped instance tree (i.e. not assigned to any compute node)
+        for instance in sorted(self.get_all_instances().values(),
+                               key=lambda inst: inst.uuid):
+            try:
+                self.get_node_by_instance_uuid(instance.uuid)
+            except exception.InstanceNotFound:
+                root.append(self._build_instance_element(instance))
+
+        return etree.tostring(root, pretty_print=True).decode('utf-8')
+
+    @classmethod
+    def from_xml(cls, data):
+        model = cls()
+        root = etree.fromstring(data)
+
+        mem = element.Resource(element.ResourceType.memory)
+        num_cores = element.Resource(element.ResourceType.cpu_cores)
+        disk = element.Resource(element.ResourceType.disk)
+        disk_capacity = element.Resource(element.ResourceType.disk_capacity)
+        model.create_resource(mem)
+        model.create_resource(num_cores)
+        model.create_resource(disk)
+        model.create_resource(disk_capacity)
+
+        for cn in root.findall('.//ComputeNode'):
+            node = element.ComputeNode(cn.get('id'))
+            node.uuid = cn.get('uuid')
+            node.hostname = cn.get('hostname')
+            # set capacity
+            mem.set_capacity(node, int(cn.get(str(mem.name))))
+            disk.set_capacity(node, int(cn.get(str(disk.name))))
+            disk_capacity.set_capacity(
+                node, int(cn.get(str(disk_capacity.name))))
+            num_cores.set_capacity(node, int(cn.get(str(num_cores.name))))
+            node.state = cn.get('state')
+            node.status = cn.get('status')
+
+            model.add_node(node)
+
+        for inst in root.findall('.//Instance'):
+            instance = element.Instance()
+            instance.uuid = inst.get('uuid')
+            instance.state = inst.get('state')
+
+            mem.set_capacity(instance, int(inst.get(str(mem.name))))
+            disk.set_capacity(instance, int(inst.get(str(disk.name))))
+            disk_capacity.set_capacity(
+                instance, int(inst.get(str(disk_capacity.name))))
+            num_cores.set_capacity(
+                instance, int(inst.get(str(num_cores.name))))
+
+            parent = inst.getparent()
+            if parent.tag == 'ComputeNode':
+                node = model.get_node_by_uuid(parent.get('uuid'))
+                model.map_instance(instance, node)
+            else:
+                model.add_instance(instance)
+
+        return model

watcher/decision_engine/model/notification/nova.py

@@ -20,6 +20,7 @@ from oslo_log import log
 
 from watcher._i18n import _LI
 from watcher.common import exception
+from watcher.common import nova_helper
 from watcher.decision_engine.model import element
 from watcher.decision_engine.model.notification import base
 from watcher.decision_engine.model.notification import filtering
@@ -29,9 +30,19 @@ LOG = log.getLogger(__name__)
 
 class NovaNotification(base.NotificationEndpoint):
 
+    def __init__(self, collector):
+        super(NovaNotification, self).__init__(collector)
+        self._nova = None
+
+    @property
+    def nova(self):
+        if self._nova is None:
+            self._nova = nova_helper.NovaHelper()
+        return self._nova
+
     def get_or_create_instance(self, uuid):
         try:
-            instance = self.cluster_data_model.get_instance_from_id(uuid)
+            instance = self.cluster_data_model.get_instance_by_uuid(uuid)
         except exception.InstanceNotFound:
             # The instance didn't exist yet so we create a new instance object
             LOG.debug("New instance created: %s", uuid)
@@ -59,13 +70,20 @@ class NovaNotification(base.NotificationEndpoint):
             element.ResourceType.cpu_cores, instance, num_cores)
         self.update_capacity(
             element.ResourceType.disk, instance, disk_gb)
+        self.update_capacity(
+            element.ResourceType.disk_capacity, instance, disk_gb)
 
-        node = self.get_or_create_node(instance_data['host'])
+        try:
+            node = self.get_or_create_node(instance_data['host'])
+        except exception.ComputeNodeNotFound as exc:
+            LOG.exception(exc)
+            # If we can't create the node, we consider the instance as unmapped
+            node = None
 
         self.update_instance_mapping(instance, node)
 
     def update_capacity(self, resource_id, obj, value):
-        resource = self.cluster_data_model.get_resource_from_id(resource_id)
+        resource = self.cluster_data_model.get_resource_by_uuid(resource_id)
         resource.set_capacity(obj, value)
 
     def legacy_update_instance(self, instance, data):
@@ -82,34 +100,83 @@ class NovaNotification(base.NotificationEndpoint):
             element.ResourceType.cpu_cores, instance, num_cores)
         self.update_capacity(
             element.ResourceType.disk, instance, disk_gb)
+        self.update_capacity(
+            element.ResourceType.disk_capacity, instance, disk_gb)
 
-        node = self.get_or_create_node(data['host'])
+        try:
+            node = self.get_or_create_node(data['host'])
+        except exception.ComputeNodeNotFound as exc:
+            LOG.exception(exc)
+            # If we can't create the node, we consider the instance as unmapped
+            node = None
 
         self.update_instance_mapping(instance, node)
 
+    def update_compute_node(self, node, data):
+        """Update the compute node using the notification data."""
+        node_data = data['nova_object.data']
+        node.hostname = node_data['host']
+        node.state = (
+            element.ServiceState.OFFLINE.value
+            if node_data['forced_down'] else element.ServiceState.ONLINE.value)
+        node.status = (
+            element.ServiceState.DISABLED.value
+            if node_data['host'] else element.ServiceState.ENABLED.value)
+
+    def create_compute_node(self, node_hostname):
+        """Update the compute node by querying the Nova API."""
+        try:
+            _node = self.nova.get_compute_node_by_hostname(node_hostname)
+            node = element.ComputeNode(_node.id)
+            node.uuid = node_hostname
+            node.hostname = _node.hypervisor_hostname
+            node.state = _node.state
+            node.status = _node.status
+
+            self.update_capacity(
+                element.ResourceType.memory, node, _node.memory_mb)
+            self.update_capacity(
+                element.ResourceType.cpu_cores, node, _node.vcpus)
+            self.update_capacity(
+                element.ResourceType.disk, node, _node.free_disk_gb)
+            self.update_capacity(
+                element.ResourceType.disk_capacity, node, _node.local_gb)
+            return node
+        except Exception as exc:
+            LOG.exception(exc)
+            LOG.debug("Could not refresh the node %s.", node_hostname)
+            raise exception.ComputeNodeNotFound(name=node_hostname)
+
+        return False
+
     def get_or_create_node(self, uuid):
         if uuid is None:
             LOG.debug("Compute node UUID not provided: skipping")
             return
         try:
-            node = self.cluster_data_model.get_node_from_id(uuid)
+            return self.cluster_data_model.get_node_by_uuid(uuid)
         except exception.ComputeNodeNotFound:
             # The node didn't exist yet so we create a new node object
+            node = self.create_compute_node(uuid)
             LOG.debug("New compute node created: %s", uuid)
-            node = element.ComputeNode()
-            node.uuid = uuid
-
             self.cluster_data_model.add_node(node)
-
-        return node
+            return node
 
     def update_instance_mapping(self, instance, node):
-        if not node:
+        if node is None:
+            self.cluster_data_model.add_instance(instance)
             LOG.debug("Instance %s not yet attached to any node: skipping",
                       instance.uuid)
             return
         try:
-            old_node = self.get_or_create_node(node.uuid)
+            try:
+                old_node = self.get_or_create_node(node.uuid)
+            except exception.ComputeNodeNotFound as exc:
+                LOG.exception(exc)
+                # If we can't create the node,
+                # we consider the instance as unmapped
+                old_node = None
+
             LOG.debug("Mapped node %s found", node.uuid)
             if node and node != old_node:
                 LOG.debug("Unmapping instance %s from %s",
@@ -126,8 +193,7 @@ class NovaNotification(base.NotificationEndpoint):
     def delete_instance(self, instance, node):
         try:
             self.cluster_data_model.delete_instance(instance, node)
-        except Exception as exc:
-            LOG.exception(exc)
+        except Exception:
             LOG.info(_LI("Instance %s already deleted"), instance.uuid)
 
 
@@ -150,19 +216,18 @@ class ServiceUpdated(VersionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
         node_data = payload['nova_object.data']
         node_uuid = node_data['host']
-        node = self.get_or_create_node(node_uuid)
-
-        node.hostname = node_data['host']
-        node.state = (
-            element.ServiceState.OFFLINE.value
-            if node_data['forced_down'] else element.ServiceState.ONLINE.value)
-        node.status = (
-            element.ServiceState.DISABLED.value
-            if node_data['host'] else element.ServiceState.ENABLED.value)
+        try:
+            node = self.get_or_create_node(node_uuid)
+            self.update_compute_node(node, payload)
+        except exception.ComputeNodeNotFound as exc:
+            LOG.exception(exc)
 
 
 class InstanceCreated(VersionnedNotificationEndpoint):
@@ -192,8 +257,11 @@ class InstanceCreated(VersionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
         instance_data = payload['nova_object.data']
 
         instance_uuid = instance_data['uuid']
@@ -221,8 +289,11 @@ class InstanceUpdated(VersionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
         instance_data = payload['nova_object.data']
         instance_uuid = instance_data['uuid']
         instance = self.get_or_create_instance(instance_uuid)
@@ -241,14 +312,22 @@ class InstanceDeletedEnd(VersionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
 
         instance_data = payload['nova_object.data']
         instance_uuid = instance_data['uuid']
         instance = self.get_or_create_instance(instance_uuid)
 
-        node = self.get_or_create_node(instance_data['host'])
+        try:
+            node = self.get_or_create_node(instance_data['host'])
+        except exception.ComputeNodeNotFound as exc:
+            LOG.exception(exc)
+            # If we can't create the node, we consider the instance as unmapped
+            node = None
 
         self.delete_instance(instance, node)
 
@@ -264,8 +343,11 @@ class LegacyInstanceUpdated(UnversionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
 
         instance_uuid = payload['instance_id']
         instance = self.get_or_create_instance(instance_uuid)
@@ -284,8 +366,11 @@ class LegacyInstanceCreatedEnd(UnversionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
 
         instance_uuid = payload['instance_id']
         instance = self.get_or_create_instance(instance_uuid)
@@ -304,12 +389,20 @@ class LegacyInstanceDeletedEnd(UnversionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
         instance_uuid = payload['instance_id']
         instance = self.get_or_create_instance(instance_uuid)
 
-        node = self.get_or_create_node(payload['host'])
+        try:
+            node = self.get_or_create_node(payload['host'])
+        except exception.ComputeNodeNotFound as exc:
+            LOG.exception(exc)
+            # If we can't create the node, we consider the instance as unmapped
+            node = None
 
         self.delete_instance(instance, node)
 
@@ -325,8 +418,11 @@ class LegacyLiveMigratedEnd(UnversionnedNotificationEndpoint):
         )
 
     def info(self, ctxt, publisher_id, event_type, payload, metadata):
-        LOG.info(_LI("Event '%(event)s' received from %(publisher)s") %
-                 dict(event=event_type, publisher=publisher_id))
+        LOG.info(_LI("Event '%(event)s' received from %(publisher)s "
+                     "with metadata %(metadata)s") %
+                 dict(event=event_type,
+                      publisher=publisher_id,
+                      metadata=metadata))
 
         instance_uuid = payload['instance_id']
         instance = self.get_or_create_instance(instance_uuid)

watcher/decision_engine/planner/default.py

@@ -94,6 +94,7 @@ class DefaultPlanner(base.BasePlanner):
         if len(scheduled) == 0:
             LOG.warning(_LW("The action plan is empty"))
             action_plan.first_action_id = None
+            action_plan.state = objects.action_plan.State.SUCCEEDED
             action_plan.save()
         else:
             # create the first action

watcher/decision_engine/scoring/dummy_scorer.py

@@ -15,7 +15,6 @@
 # implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-#
 
 from oslo_log import log
 from oslo_serialization import jsonutils
@@ -33,6 +32,7 @@ class DummyScorer(base.ScoringEngine):
     Typically a scoring engine would be implemented using machine learning
     techniques. For example, for workload classification problem the solution
     could consist of the following steps:
+
     1. Define a problem to solve: we want to detect the workload on the
        machine based on the collected metrics like power consumption,
        temperature, CPU load, memory usage, disk usage, network usage, etc.

watcher/decision_engine/strategy/strategies/basic_consolidation.py

@@ -81,8 +81,6 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         self.number_of_released_nodes = 0
         # set default value for the number of migrations
         self.number_of_migrations = 0
-        # set default value for number of allowed migration attempts
-        self.migration_attempts = 0
 
         # set default value for the efficacy
         self.efficacy = 100
@@ -94,21 +92,14 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         self.threshold_disk = 1
         self.threshold_cores = 1
 
-        # TODO(jed): target efficacy
-        self.target_efficacy = 60
-
-        # TODO(jed): weight
-        self.weight_cpu = 1
-        self.weight_mem = 1
-        self.weight_disk = 1
-
-        # TODO(jed): bound migration attempts (80 %)
-        self.bound_migration = 0.80
-
     @classmethod
     def get_name(cls):
         return "basic"
 
+    @property
+    def migration_attempts(self):
+        return self.input_parameters.get('migration_attempts', 0)
+
     @classmethod
     def get_display_name(cls):
         return _("Basic offline consolidation")
@@ -117,6 +108,22 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
     def get_translatable_display_name(cls):
         return "Basic offline consolidation"
 
+    @classmethod
+    def get_schema(cls):
+        # Mandatory default setting for each element
+        return {
+            "properties": {
+                "migration_attempts": {
+                    "description": "Maximum number of combinations to be "
+                                   "tried by the strategy while searching "
+                                   "for potential candidates. To remove the "
+                                   "limit, set it to 0 (by default)",
+                    "type": "number",
+                    "default": 0
+                },
+            },
+        }
+
     @property
     def ceilometer(self):
         if self._ceilometer is None:
@@ -127,13 +134,6 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
     def ceilometer(self, ceilometer):
         self._ceilometer = ceilometer
 
-    def compute_attempts(self, size_cluster):
-        """Upper bound of the number of migration
-
-        :param size_cluster: The size of the cluster
-        """
-        self.migration_attempts = size_cluster * self.bound_migration
-
     def check_migration(self, source_node, destination_node,
                         instance_to_migrate):
         """Check if the migration is possible
@@ -152,16 +152,16 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         total_cores = 0
         total_disk = 0
         total_mem = 0
-        cpu_capacity = self.compute_model.get_resource_from_id(
+        cpu_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        disk_capacity = self.compute_model.get_resource_from_id(
+        disk_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        memory_capacity = self.compute_model.get_resource_from_id(
+        memory_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
-        for instance_id in self.compute_model. \
-                get_mapping().get_node_instances(destination_node):
-            instance = self.compute_model.get_instance_from_id(instance_id)
+        for instance_id in self.compute_model.mapping.get_node_instances(
+                destination_node):
+            instance = self.compute_model.get_instance_by_uuid(instance_id)
             total_cores += cpu_capacity.get_capacity(instance)
             total_disk += disk_capacity.get_capacity(instance)
             total_mem += memory_capacity.get_capacity(instance)
@@ -188,27 +188,17 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         :param total_mem: total memory used by the virtual machine
         :return: True if the threshold is not exceed
         """
-        cpu_capacity = self.compute_model.get_resource_from_id(
+        cpu_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(destination_node)
-        disk_capacity = self.compute_model.get_resource_from_id(
+        disk_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.disk).get_capacity(destination_node)
-        memory_capacity = self.compute_model.get_resource_from_id(
+        memory_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.memory).get_capacity(destination_node)
 
         return (cpu_capacity >= total_cores * self.threshold_cores and
                 disk_capacity >= total_disk * self.threshold_disk and
                 memory_capacity >= total_mem * self.threshold_mem)
 
-    def get_allowed_migration_attempts(self):
-        """Allowed migration
-
-        Maximum allowed number of migrations this allows us to fix
-        the upper bound of the number of migrations.
-
-        :return:
-        """
-        return self.migration_attempts
-
     def calculate_weight(self, compute_resource, total_cores_used,
                          total_disk_used, total_memory_used):
         """Calculate weight of every resource
@@ -219,13 +209,13 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         :param total_memory_used:
         :return:
         """
-        cpu_capacity = self.compute_model.get_resource_from_id(
+        cpu_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(compute_resource)
 
-        disk_capacity = self.compute_model.get_resource_from_id(
+        disk_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.disk).get_capacity(compute_resource)
 
-        memory_capacity = self.compute_model.get_resource_from_id(
+        memory_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.memory).get_capacity(compute_resource)
 
         score_cores = (1 - (float(cpu_capacity) - float(total_cores_used)) /
@@ -252,11 +242,11 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         :rtype: float
         """
         resource_id = "%s_%s" % (node.uuid, node.hostname)
-        host_avg_cpu_util = self.ceilometer. \
-            statistic_aggregation(resource_id=resource_id,
-                                  meter_name=self.HOST_CPU_USAGE_METRIC_NAME,
-                                  period="7200",
-                                  aggregate='avg')
+        host_avg_cpu_util = self.ceilometer.statistic_aggregation(
+            resource_id=resource_id,
+            meter_name=self.HOST_CPU_USAGE_METRIC_NAME,
+            period="7200",
+            aggregate='avg')
 
         if host_avg_cpu_util is None:
             LOG.error(
@@ -266,10 +256,10 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
                         metric_name=self.HOST_CPU_USAGE_METRIC_NAME))
             host_avg_cpu_util = 100
 
-        cpu_capacity = self.compute_model.get_resource_from_id(
+        cpu_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(node)
 
-        total_cores_used = cpu_capacity * (host_avg_cpu_util / 100)
+        total_cores_used = cpu_capacity * (host_avg_cpu_util / 100.0)
 
         return self.calculate_weight(node, total_cores_used, 0, 0)
 
@@ -306,7 +296,7 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
                         metric_name=self.INSTANCE_CPU_USAGE_METRIC_NAME))
             instance_cpu_utilization = 100
 
-        cpu_capacity = self.compute_model.get_resource_from_id(
+        cpu_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(instance)
 
         total_cores_used = cpu_capacity * (instance_cpu_utilization / 100.0)
@@ -331,11 +321,11 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
                                  resource_id=resource_id,
                                  input_parameters=parameters)
 
-    def score_of_nodes(self, score):
+    def compute_score_of_nodes(self):
         """Calculate score of nodes based on load by VMs"""
+        score = []
         for node in self.compute_model.get_all_compute_nodes().values():
-            count = self.compute_model.mapping.get_node_instances_from_id(
-                node.uuid)
+            count = self.compute_model.mapping.get_node_instances(node)
             if len(count) > 0:
                 result = self.calculate_score_node(node)
             else:
@@ -345,16 +335,15 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
                 score.append((node.uuid, result))
         return score
 
-    def node_and_instance_score(self, sorted_score, score):
+    def node_and_instance_score(self, sorted_scores):
         """Get List of VMs from node"""
-        node_to_release = sorted_score[len(score) - 1][0]
-        instances_to_migrate = (
-            self.compute_model.mapping.get_node_instances_from_id(
-                node_to_release))
+        node_to_release = sorted_scores[len(sorted_scores) - 1][0]
+        instances_to_migrate = self.compute_model.mapping.get_node_instances(
+            self.compute_model.get_node_by_uuid(node_to_release))
 
         instance_score = []
         for instance_id in instances_to_migrate:
-            instance = self.compute_model.get_instance_from_id(instance_id)
+            instance = self.compute_model.get_instance_by_uuid(instance_id)
             if instance.state == element.InstanceState.ACTIVE.value:
                 instance_score.append(
                     (instance_id, self.calculate_score_instance(instance)))
@@ -370,7 +359,7 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
                                mig_source_node.uuid,
                                mig_destination_node.uuid)
 
-        if len(self.compute_model.get_mapping().get_node_instances(
+        if len(self.compute_model.mapping.get_node_instances(
                 mig_source_node)) == 0:
             self.add_change_service_state(mig_source_node.
                                           uuid,
@@ -382,11 +371,11 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         number_migrations = 0
         for instance in sorted_instances:
             for j in range(0, len(sorted_score)):
-                mig_instance = self.compute_model.get_instance_from_id(
+                mig_instance = self.compute_model.get_instance_by_uuid(
                     instance[0])
-                mig_source_node = self.compute_model.get_node_from_id(
+                mig_source_node = self.compute_model.get_node_by_uuid(
                     node_to_release)
-                mig_destination_node = self.compute_model.get_node_from_id(
+                mig_destination_node = self.compute_model.get_node_by_uuid(
                     sorted_score[j][0])
 
                 result = self.check_migration(
@@ -411,65 +400,61 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
         if not self.compute_model:
             raise exception.ClusterStateNotDefined()
 
-    def do_execute(self):
-        # todo(jed) clone model
-        self.efficacy = 100
-        unsuccessful_migration = 0
-
-        first_migration = True
-        size_cluster = len(self.compute_model.get_all_compute_nodes())
-        if size_cluster == 0:
+        if len(self.compute_model.get_all_compute_nodes()) == 0:
             raise exception.ClusterEmpty()
 
-        self.compute_attempts(size_cluster)
+        LOG.debug(self.compute_model.to_string())
+
+    def do_execute(self):
+        unsuccessful_migration = 0
 
         for node_uuid, node in self.compute_model.get_all_compute_nodes(
         ).items():
-            node_instances = (self.compute_model.mapping
-                              .get_node_instances_from_id(node_uuid))
+            node_instances = self.compute_model.mapping.get_node_instances(
+                node)
             if node_instances:
                 if node.state == element.ServiceState.ENABLED:
                     self.add_change_service_state(
                         node_uuid, element.ServiceState.DISABLED.value)
 
-        while self.get_allowed_migration_attempts() >= unsuccessful_migration:
-            if not first_migration:
-                self.efficacy = self.calculate_migration_efficacy()
-                if self.efficacy < float(self.target_efficacy):
-                    break
-            first_migration = False
-            score = []
-
-            score = self.score_of_nodes(score)
-
-            # Sort compute nodes by Score decreasing
-            sorted_score = sorted(score, reverse=True, key=lambda x: (x[1]))
-            LOG.debug("Compute node(s) BFD %s", sorted_score)
-
-            # Get Node to be released
-            if len(score) == 0:
-                LOG.warning(_LW(
-                    "The workloads of the compute nodes"
-                    " of the cluster is zero"))
-                break
+        scores = self.compute_score_of_nodes()
+        # Sort compute nodes by Score decreasing
+        sorted_scores = sorted(scores, reverse=True, key=lambda x: (x[1]))
+        LOG.debug("Compute node(s) BFD %s", sorted_scores)
+        # Get Node to be released
+        if len(scores) == 0:
+            LOG.warning(_LW(
+                "The workloads of the compute nodes"
+                " of the cluster is zero"))
+            return
 
+        while sorted_scores and (
+                not self.migration_attempts or
+                self.migration_attempts >= unsuccessful_migration):
             node_to_release, instance_score = self.node_and_instance_score(
-                sorted_score, score)
+                sorted_scores)
 
             # Sort instances by Score
             sorted_instances = sorted(
                 instance_score, reverse=True, key=lambda x: (x[1]))
             # BFD: Best Fit Decrease
-            LOG.debug("VM(s) BFD %s", sorted_instances)
+            LOG.debug("Instance(s) BFD %s", sorted_instances)
 
             migrations = self.calculate_num_migrations(
-                sorted_instances, node_to_release, sorted_score)
+                sorted_instances, node_to_release, sorted_scores)
 
             unsuccessful_migration = self.unsuccessful_migration_actualization(
                 migrations, unsuccessful_migration)
+
+            if not migrations:
+                # We don't have any possible migrations to perform on this node
+                # so we discard the node so we can try to migrate instances
+                # from the next one in the list
+                sorted_scores.pop()
+
         infos = {
-            "number_of_migrations": self.number_of_migrations,
-            "number_of_nodes_released": self.number_of_released_nodes,
+            "released_compute_nodes_count": self.number_of_released_nodes,
+            "instance_migrations_count": self.number_of_migrations,
             "efficacy": self.efficacy
         }
         LOG.debug(infos)
@@ -479,3 +464,4 @@ class BasicConsolidation(base.ServerConsolidationBaseStrategy):
             released_compute_nodes_count=self.number_of_released_nodes,
             instance_migrations_count=self.number_of_migrations,
         )
+        LOG.debug(self.compute_model.to_string())

watcher/decision_engine/strategy/strategies/outlet_temp_control.py

@@ -130,7 +130,7 @@ class OutletTempControl(base.ThermalOptimizationBaseStrategy):
         disk_gb_used = 0
         if len(instances) > 0:
             for instance_id in instances:
-                instance = self.compute_model.get_instance_from_id(instance_id)
+                instance = self.compute_model.get_instance_by_uuid(instance_id)
                 vcpus_used += cpu_capacity.get_capacity(instance)
                 memory_mb_used += memory_capacity.get_capacity(instance)
                 disk_gb_used += disk_capacity.get_capacity(instance)
@@ -147,7 +147,7 @@ class OutletTempControl(base.ThermalOptimizationBaseStrategy):
         hosts_need_release = []
         hosts_target = []
         for node_id in nodes:
-            node = self.compute_model.get_node_from_id(
+            node = self.compute_model.get_node_by_uuid(
                 node_id)
             resource_id = node.uuid
 
@@ -180,7 +180,7 @@ class OutletTempControl(base.ThermalOptimizationBaseStrategy):
                 for instance_id in instances_of_src:
                     try:
                         # select the first active instance to migrate
-                        instance = self.compute_model.get_instance_from_id(
+                        instance = self.compute_model.get_instance_by_uuid(
                             instance_id)
                         if (instance.state !=
                                 element.InstanceState.ACTIVE.value):
@@ -196,11 +196,11 @@ class OutletTempControl(base.ThermalOptimizationBaseStrategy):
 
     def filter_dest_servers(self, hosts, instance_to_migrate):
         """Only return hosts with sufficient available resources"""
-        cpu_capacity = self.compute_model.get_resource_from_id(
+        cpu_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        disk_capacity = self.compute_model.get_resource_from_id(
+        disk_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        memory_capacity = self.compute_model.get_resource_from_id(
+        memory_capacity = self.compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
         required_cores = cpu_capacity.get_capacity(instance_to_migrate)
@@ -230,6 +230,8 @@ class OutletTempControl(base.ThermalOptimizationBaseStrategy):
         if not self.compute_model:
             raise wexc.ClusterStateNotDefined()
 
+        LOG.debug(self.compute_model.to_string())
+
     def do_execute(self):
         # the migration plan will be triggered when the outlet temperature
         # reaches threshold
@@ -284,3 +286,5 @@ class OutletTempControl(base.ThermalOptimizationBaseStrategy):
     def post_execute(self):
         self.solution.model = self.compute_model
         # TODO(v-francoise): Add the indicators to the solution
+
+        LOG.debug(self.compute_model.to_string())

watcher/decision_engine/strategy/strategies/uniform_airflow.py

@@ -144,7 +144,7 @@ class UniformAirflow(base.BaseStrategy):
         memory_mb_used = 0
         disk_gb_used = 0
         for instance_id in instances:
-            instance = self.compute_model.get_instance_from_id(
+            instance = self.compute_model.get_instance_by_uuid(
                 instance_id)
             vcpus_used += cap_cores.get_capacity(instance)
             memory_mb_used += cap_mem.get_capacity(instance)
@@ -179,7 +179,7 @@ class UniformAirflow(base.BaseStrategy):
                     for instance_id in source_instances:
                         try:
                             instance = (self.compute_model.
-                                        get_instance_from_id(instance_id))
+                                        get_instance_by_uuid(instance_id))
                             instances_tobe_migrate.append(instance)
                         except wexc.InstanceNotFound:
                             LOG.error(_LE("Instance not found; error: %s"),
@@ -190,7 +190,7 @@ class UniformAirflow(base.BaseStrategy):
                     for instance_id in source_instances:
                         try:
                             instance = (self.compute_model.
-                                        get_instance_from_id(instance_id))
+                                        get_instance_by_uuid(instance_id))
                             if (instance.state !=
                                     element.InstanceState.ACTIVE.value):
                                 LOG.info(
@@ -209,11 +209,11 @@ class UniformAirflow(base.BaseStrategy):
     def filter_destination_hosts(self, hosts, instances_to_migrate):
         """Find instance and host with sufficient available resources"""
 
-        cap_cores = self.compute_model.get_resource_from_id(
+        cap_cores = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        cap_disk = self.compute_model.get_resource_from_id(
+        cap_disk = self.compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        cap_mem = self.compute_model.get_resource_from_id(
+        cap_mem = self.compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
         # large instance go first
         instances_to_migrate = sorted(
@@ -265,7 +265,7 @@ class UniformAirflow(base.BaseStrategy):
         overload_hosts = []
         nonoverload_hosts = []
         for node_id in nodes:
-            node = self.compute_model.get_node_from_id(
+            node = self.compute_model.get_node_by_uuid(
                 node_id)
             resource_id = node.uuid
             airflow = self.ceilometer.statistic_aggregation(
@@ -293,6 +293,8 @@ class UniformAirflow(base.BaseStrategy):
         if not self.compute_model:
             raise wexc.ClusterStateNotDefined()
 
+        LOG.debug(self.compute_model.to_string())
+
     def do_execute(self):
         self.threshold_airflow = self.input_parameters.threshold_airflow
         self.threshold_inlet_t = self.input_parameters.threshold_inlet_t
@@ -345,3 +347,5 @@ class UniformAirflow(base.BaseStrategy):
     def post_execute(self):
         self.solution.model = self.compute_model
         # TODO(v-francoise): Add the indicators to the solution
+
+        LOG.debug(self.compute_model.to_string())

watcher/decision_engine/strategy/strategies/vm_workload_consolidation.py

@@ -162,7 +162,7 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
         :param model: model_root object
         :return: None
         """
-        instance = model.get_instance_from_id(instance_uuid)
+        instance = model.get_instance_by_uuid(instance_uuid)
 
         instance_state_str = self.get_state_str(instance.state)
         if instance_state_str != element.InstanceState.ACTIVE.value:
@@ -226,9 +226,9 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
         instance_cpu_util = self.ceilometer.statistic_aggregation(
             resource_id=instance_uuid, meter_name=cpu_util_metric,
             period=period, aggregate=aggr)
-        instance_cpu_cores = model.get_resource_from_id(
+        instance_cpu_cores = model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(
-                model.get_instance_from_id(instance_uuid))
+                model.get_instance_by_uuid(instance_uuid))
 
         if instance_cpu_util:
             total_cpu_utilization = (
@@ -271,7 +271,7 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
         :param aggr: string
         :return: dict(cpu(number of cores used), ram(MB used), disk(B used))
         """
-        node_instances = model.mapping.get_node_instances_from_id(
+        node_instances = model.mapping.get_node_instances_by_uuid(
             node.uuid)
         node_ram_util = 0
         node_disk_util = 0
@@ -293,13 +293,13 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
         :param model: model_root object
         :return: dict(cpu(cores), ram(MB), disk(B))
         """
-        node_cpu_capacity = model.get_resource_from_id(
+        node_cpu_capacity = model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(node)
 
-        node_disk_capacity = model.get_resource_from_id(
+        node_disk_capacity = model.get_resource_by_uuid(
             element.ResourceType.disk_capacity).get_capacity(node)
 
-        node_ram_capacity = model.get_resource_from_id(
+        node_ram_capacity = model.get_resource_by_uuid(
             element.ResourceType.memory).get_capacity(node)
         return dict(cpu=node_cpu_capacity, ram=node_ram_capacity,
                     disk=node_disk_capacity)
@@ -498,6 +498,8 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
         if not self.compute_model:
             raise exception.ClusterStateNotDefined()
 
+        LOG.debug(self.compute_model.to_string())
+
     def do_execute(self):
         """Execute strategy.
 
@@ -548,3 +550,5 @@ class VMWorkloadConsolidation(base.ServerConsolidationBaseStrategy):
             released_compute_nodes_count=self.number_of_migrations,
             instance_migrations_count=self.number_of_released_nodes,
         )
+
+        LOG.debug(self.compute_model.to_string())

watcher/decision_engine/strategy/strategies/workload_balance.py

@@ -122,7 +122,7 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
         memory_mb_used = 0
         disk_gb_used = 0
         for instance_id in instances:
-            instance = self.compute_model.get_instance_from_id(instance_id)
+            instance = self.compute_model.get_instance_by_uuid(instance_id)
             vcpus_used += cap_cores.get_capacity(instance)
             memory_mb_used += cap_mem.get_capacity(instance)
             disk_gb_used += cap_disk.get_capacity(instance)
@@ -147,7 +147,7 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
                 for inst_id in source_instances:
                     try:
                         # select the first active VM to migrate
-                        instance = self.compute_model.get_instance_from_id(
+                        instance = self.compute_model.get_instance_by_uuid(
                             inst_id)
                         if (instance.state !=
                                 element.InstanceState.ACTIVE.value):
@@ -164,7 +164,7 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
                                   instance_id)
                 if instance_id:
                     return (source_node,
-                            self.compute_model.get_instance_from_id(
+                            self.compute_model.get_instance_by_uuid(
                                 instance_id))
             else:
                 LOG.info(_LI("VM not found from node: %s"),
@@ -174,11 +174,11 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
                                  avg_workload, workload_cache):
         '''Only return hosts with sufficient available resources'''
 
-        cap_cores = self.compute_model.get_resource_from_id(
+        cap_cores = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        cap_disk = self.compute_model.get_resource_from_id(
+        cap_disk = self.compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        cap_mem = self.compute_model.get_resource_from_id(
+        cap_mem = self.compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
         required_cores = cap_cores.get_capacity(instance_to_migrate)
@@ -222,7 +222,7 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
         if not nodes:
             raise wexc.ClusterEmpty()
         # get cpu cores capacity of nodes and instances
-        cap_cores = self.compute_model.get_resource_from_id(
+        cap_cores = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
         overload_hosts = []
         nonoverload_hosts = []
@@ -232,12 +232,12 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
         # use workload_cache to store the workload of VMs for reuse purpose
         workload_cache = {}
         for node_id in nodes:
-            node = self.compute_model.get_node_from_id(
+            node = self.compute_model.get_node_by_uuid(
                 node_id)
             instances = self.compute_model.mapping.get_node_instances(node)
             node_workload = 0.0
             for instance_id in instances:
-                instance = self.compute_model.get_instance_from_id(instance_id)
+                instance = self.compute_model.get_instance_by_uuid(instance_id)
                 try:
                     cpu_util = self.ceilometer.statistic_aggregation(
                         resource_id=instance_id,
@@ -283,6 +283,8 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
         if not self.compute_model:
             raise wexc.ClusterStateNotDefined()
 
+        LOG.debug(self.compute_model.to_string())
+
     def do_execute(self):
         """Strategy execution phase
 
@@ -344,3 +346,5 @@ class WorkloadBalance(base.WorkloadStabilizationBaseStrategy):
         This can be used to compute the global efficacy
         """
         self.solution.model = self.compute_model
+
+        LOG.debug(self.compute_model.to_string())

watcher/decision_engine/strategy/strategies/workload_stabilization.py

@@ -17,7 +17,7 @@
 # limitations under the License.
 #
 
-from copy import deepcopy
+import copy
 import itertools
 import math
 import random
@@ -34,40 +34,8 @@ from watcher.decision_engine.model import element
 from watcher.decision_engine.strategy.strategies import base
 
 LOG = log.getLogger(__name__)
-
-metrics = ['cpu_util', 'memory.resident']
-thresholds_dict = {'cpu_util': 0.2, 'memory.resident': 0.2}
-weights_dict = {'cpu_util_weight': 1.0, 'memory.resident_weight': 1.0}
-instance_host_measures = {'cpu_util': 'hardware.cpu.util',
-                          'memory.resident': 'hardware.memory.used'}
-
-ws_opts = [
-    cfg.ListOpt('metrics',
-                default=metrics,
-                required=True,
-                help='Metrics used as rates of cluster loads.'),
-    cfg.DictOpt('thresholds',
-                default=thresholds_dict,
-                help=''),
-    cfg.DictOpt('weights',
-                default=weights_dict,
-                help='These weights used to calculate '
-                     'common standard deviation. Name of weight '
-                     'contains meter name and _weight suffix.'),
-    cfg.StrOpt('host_choice',
-               default='retry',
-               required=True,
-               help="Method of host's choice."),
-    cfg.IntOpt('retry_count',
-               default=1,
-               required=True,
-               help='Count of random returned hosts.'),
-]
-
 CONF = cfg.CONF
 
-CONF.register_opts(ws_opts, 'watcher_strategies.workload_stabilization')
-
 
 def _set_memoize(conf):
     oslo_cache.configure(conf)
@@ -111,14 +79,12 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         super(WorkloadStabilization, self).__init__(config, osc)
         self._ceilometer = None
         self._nova = None
-        self.weights = CONF['watcher_strategies.workload_stabilization']\
-            .weights
-        self.metrics = CONF['watcher_strategies.workload_stabilization']\
-            .metrics
-        self.thresholds = CONF['watcher_strategies.workload_stabilization']\
-            .thresholds
-        self.host_choice = CONF['watcher_strategies.workload_stabilization']\
-            .host_choice
+        self.weights = None
+        self.metrics = None
+        self.thresholds = None
+        self.host_choice = None
+        self.instance_metrics = None
+        self.retry_count = None
 
     @classmethod
     def get_name(cls):
@@ -132,6 +98,55 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
     def get_translatable_display_name(cls):
         return "Workload stabilization"
 
+    @classmethod
+    def get_schema(cls):
+        return {
+            "properties": {
+                "metrics": {
+                    "description": "Metrics used as rates of cluster loads.",
+                    "type": "array",
+                    "default": ["cpu_util", "memory.resident"]
+                },
+                "thresholds": {
+                    "description": "Dict where key is a metric and value "
+                                   "is a trigger value.",
+                    "type": "object",
+                    "default": {"cpu_util": 0.2, "memory.resident": 0.2}
+                },
+                "weights": {
+                    "description": "These weights used to calculate "
+                                   "common standard deviation. Name of weight"
+                                   " contains meter name and _weight suffix.",
+                    "type": "object",
+                    "default": {"cpu_util_weight": 1.0,
+                                "memory.resident_weight": 1.0}
+                },
+                "instance_metrics": {
+                    "description": "Mapping to get hardware statistics using"
+                                   " instance metrics",
+                    "type": "object",
+                    "default": {"cpu_util": "hardware.cpu.util",
+                                "memory.resident": "hardware.memory.used"}
+                },
+                "host_choice": {
+                    "description": "Method of host's choice. There are cycle,"
+                                   " retry and fullsearch methods. "
+                                   "Cycle will iterate hosts in cycle. "
+                                   "Retry will get some hosts random "
+                                   "(count defined in retry_count option). "
+                                   "Fullsearch will return each host "
+                                   "from list.",
+                    "type": "string",
+                    "default": "retry"
+                },
+                "retry_count": {
+                    "description": "Count of random returned hosts",
+                    "type": "number",
+                    "default": 1
+                }
+            }
+        }
+
     @property
     def ceilometer(self):
         if self._ceilometer is None:
@@ -172,9 +187,9 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         :return: dict
         """
         LOG.debug('get_instance_load started')
-        instance_vcpus = self.compute_model.get_resource_from_id(
+        instance_vcpus = self.compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores).get_capacity(
-                self.compute_model.get_instance_from_id(instance_uuid))
+                self.compute_model.get_instance_by_uuid(instance_uuid))
         instance_load = {'uuid': instance_uuid, 'vcpus': instance_vcpus}
         for meter in self.metrics:
             avg_meter = self.ceilometer.statistic_aggregation(
@@ -190,12 +205,12 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         return instance_load
 
     def normalize_hosts_load(self, hosts):
-        normalized_hosts = deepcopy(hosts)
+        normalized_hosts = copy.deepcopy(hosts)
         for host in normalized_hosts:
             if 'memory.resident' in normalized_hosts[host]:
-                h_memory = self.compute_model.get_resource_from_id(
+                h_memory = self.compute_model.get_resource_by_uuid(
                     element.ResourceType.memory).get_capacity(
-                        self.compute_model.get_node_from_id(host))
+                        self.compute_model.get_node_by_uuid(host))
                 normalized_hosts[host]['memory.resident'] /= float(h_memory)
 
         return normalized_hosts
@@ -205,21 +220,21 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         hosts_load = {}
         for node_id in self.compute_model.get_all_compute_nodes():
             hosts_load[node_id] = {}
-            host_vcpus = self.compute_model.get_resource_from_id(
+            host_vcpus = self.compute_model.get_resource_by_uuid(
                 element.ResourceType.cpu_cores).get_capacity(
-                    self.compute_model.get_node_from_id(node_id))
+                    self.compute_model.get_node_by_uuid(node_id))
             hosts_load[node_id]['vcpus'] = host_vcpus
 
             for metric in self.metrics:
                 avg_meter = self.ceilometer.statistic_aggregation(
                     resource_id=node_id,
-                    meter_name=instance_host_measures[metric],
+                    meter_name=self.instance_metrics[metric],
                     period="60",
                     aggregate='avg'
                 )
                 if avg_meter is None:
                     raise exception.NoSuchMetricForHost(
-                        metric=instance_host_measures[metric],
+                        metric=self.instance_metrics[metric],
                         host=node_id)
                 hosts_load[node_id][metric] = avg_meter
         return hosts_load
@@ -263,7 +278,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         :return: list of standard deviation values
         """
         migration_case = []
-        new_hosts = deepcopy(hosts)
+        new_hosts = copy.deepcopy(hosts)
         instance_load = self.get_instance_load(instance_id)
         d_host_vcpus = new_hosts[dst_node_id]['vcpus']
         s_host_vcpus = new_hosts[src_node_id]['vcpus']
@@ -287,27 +302,27 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
     def simulate_migrations(self, hosts):
         """Make sorted list of pairs instance:dst_host"""
         def yield_nodes(nodes):
-            ct = CONF['watcher_strategies.workload_stabilization'].retry_count
             if self.host_choice == 'cycle':
                 for i in itertools.cycle(nodes):
                     yield [i]
             if self.host_choice == 'retry':
                 while True:
-                    yield random.sample(nodes, ct)
+                    yield random.sample(nodes, self.retry_count)
             if self.host_choice == 'fullsearch':
                 while True:
                     yield nodes
 
         instance_host_map = []
-        for source_hp_id in self.compute_model.get_all_compute_nodes():
-            nodes = list(self.compute_model.get_all_compute_nodes())
-            nodes.remove(source_hp_id)
-            node_list = yield_nodes(nodes)
+        nodes = list(self.compute_model.get_all_compute_nodes())
+        for source_hp_id in nodes:
+            c_nodes = copy.copy(nodes)
+            c_nodes.remove(source_hp_id)
+            node_list = yield_nodes(c_nodes)
             instances_id = self.compute_model.get_mapping(). \
-                get_node_instances_from_id(source_hp_id)
+                get_node_instances_by_uuid(source_hp_id)
             for instance_id in instances_id:
                 min_sd_case = {'value': len(self.metrics)}
-                instance = self.compute_model.get_instance_from_id(instance_id)
+                instance = self.compute_model.get_instance_by_uuid(instance_id)
                 if instance.state not in [element.InstanceState.ACTIVE.value,
                                           element.InstanceState.PAUSED.value]:
                     continue
@@ -323,7 +338,6 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
                             'host': dst_node_id, 'value': weighted_sd,
                             's_host': source_hp_id, 'instance': instance_id}
                         instance_host_map.append(min_sd_case)
-                    break
         return sorted(instance_host_map, key=lambda x: x['value'])
 
     def check_threshold(self):
@@ -349,7 +363,7 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
 
     def create_migration_instance(self, mig_instance, mig_source_node,
                                   mig_destination_node):
-        """Create migration VM """
+        """Create migration VM"""
         if self.compute_model.migrate_instance(
                 mig_instance, mig_source_node, mig_destination_node):
             self.add_migration(mig_instance.uuid, 'live',
@@ -357,10 +371,10 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
                                mig_destination_node.uuid)
 
     def migrate(self, instance_uuid, src_host, dst_host):
-        mig_instance = self.compute_model.get_instance_from_id(instance_uuid)
-        mig_source_node = self.compute_model.get_node_from_id(
+        mig_instance = self.compute_model.get_instance_by_uuid(instance_uuid)
+        mig_source_node = self.compute_model.get_node_by_uuid(
             src_host)
-        mig_destination_node = self.compute_model.get_node_from_id(
+        mig_destination_node = self.compute_model.get_node_by_uuid(
             dst_host)
         self.create_migration_instance(mig_instance, mig_source_node,
                                        mig_destination_node)
@@ -375,6 +389,13 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         if not self.compute_model:
             raise exception.ClusterStateNotDefined()
 
+        self.weights = self.input_parameters.weights
+        self.metrics = self.input_parameters.metrics
+        self.thresholds = self.input_parameters.thresholds
+        self.host_choice = self.input_parameters.host_choice
+        self.instance_metrics = self.input_parameters.instance_metrics
+        self.retry_count = self.input_parameters.retry_count
+
     def do_execute(self):
         migration = self.check_threshold()
         if migration:
@@ -382,13 +403,13 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
             min_sd = 1
             balanced = False
             for instance_host in migration:
-                dst_hp_disk = self.compute_model.get_resource_from_id(
+                dst_hp_disk = self.compute_model.get_resource_by_uuid(
                     element.ResourceType.disk).get_capacity(
-                        self.compute_model.get_node_from_id(
+                        self.compute_model.get_node_by_uuid(
                             instance_host['host']))
-                instance_disk = self.compute_model.get_resource_from_id(
+                instance_disk = self.compute_model.get_resource_by_uuid(
                     element.ResourceType.disk).get_capacity(
-                        self.compute_model.get_instance_from_id(
+                        self.compute_model.get_instance_by_uuid(
                             instance_host['instance']))
                 if instance_disk > dst_hp_disk:
                     continue
@@ -416,3 +437,5 @@ class WorkloadStabilization(base.WorkloadStabilizationBaseStrategy):
         This can be used to compute the global efficacy
         """
         self.fill_solution()
+
+        LOG.debug(self.compute_model.to_string())

watcher/objects/action.py

@@ -185,7 +185,7 @@ class Action(base.WatcherObject):
         for field in self.fields:
             if (hasattr(self, base.get_attrname(field)) and
                     self[field] != current[field]):
-                    self[field] = current[field]
+                self[field] = current[field]
 
     def soft_delete(self, context=None):
         """soft Delete the Audit from the DB.

watcher/objects/action_plan.py

@@ -251,7 +251,7 @@ class ActionPlan(base.WatcherObject):
         for field in self.fields:
             if (hasattr(self, base.get_attrname(field)) and
                     self[field] != current[field]):
-                    self[field] = current[field]
+                self[field] = current[field]
 
     def soft_delete(self, context=None):
         """Soft Delete the Action plan from the DB.

watcher/objects/audit.py

@@ -252,7 +252,7 @@ class Audit(base.WatcherObject):
         for field in self.fields:
             if (hasattr(self, base.get_attrname(field)) and
                     self[field] != current[field]):
-                    self[field] = current[field]
+                self[field] = current[field]
 
     def soft_delete(self, context=None):
         """soft Delete the Audit from the DB.

watcher/objects/audit_template.py

@@ -258,7 +258,7 @@ class AuditTemplate(base.WatcherObject):
         for field in self.fields:
             if (hasattr(self, base.get_attrname(field)) and
                     self[field] != current[field]):
-                    self[field] = current[field]
+                self[field] = current[field]
 
     def soft_delete(self, context=None):
         """soft Delete the :class:`AuditTemplate` from the DB.

watcher/objects/efficacy_indicator.py

@@ -182,7 +182,7 @@ class EfficacyIndicator(base.WatcherObject):
         for field in self.fields:
             if (hasattr(self, base.get_attrname(field)) and
                     self[field] != current[field]):
-                    self[field] = current[field]
+                self[field] = current[field]
 
     def soft_delete(self, context=None):
         """Soft Delete the efficacy indicator from the DB.

watcher/tests/api/test_hooks.py

@@ -1,17 +1,18 @@
-# Copyright 2014
-# The Cloudscaling Group, Inc.
+# -*- encoding: utf-8 -*-
 #
-# Licensed under the Apache License, Version 2.0 (the "License"); you may not
-# use this file except in compliance with the License. You may obtain a copy
-# of the License at
+#    Licensed under the Apache License, Version 2.0 (the "License"); you may
+#    not use this file except in compliance with the License. You may obtain
+#    a copy of the License at
 #
-# http://www.apache.org/licenses/LICENSE-2.0
+#         http://www.apache.org/licenses/LICENSE-2.0
 #
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
+#    Unless required by applicable law or agreed to in writing, software
+#    distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
+#    WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
+#    License for the specific language governing permissions and limitations
+#    under the License.
+
+"""Tests for the Pecan API hooks."""
 
 from __future__ import unicode_literals
 
@@ -19,70 +20,107 @@ import mock
 from oslo_config import cfg
 import oslo_messaging as messaging
 from oslo_serialization import jsonutils
+import six
+from six.moves import http_client
 
 from watcher.api.controllers import root
 from watcher.api import hooks
-from watcher.common import context as watcher_context
-from watcher.tests.api import base as api_base
-from watcher.tests import base
-from watcher.tests import fakes
+from watcher.common import context
+from watcher.tests.api import base
 
 
-class TestContextHook(base.BaseTestCase):
-
-    def setUp(self):
-        super(TestContextHook, self).setUp()
-        self.app = fakes.FakeApp()
-
-    def test_context_hook_before_method(self):
-        state = mock.Mock(request=fakes.FakePecanRequest())
-        hook = hooks.ContextHook()
-        hook.before(state)
-        ctx = state.request.context
-        self.assertIsInstance(ctx, watcher_context.RequestContext)
-        self.assertEqual(ctx.auth_token,
-                         fakes.fakeAuthTokenHeaders['X-Auth-Token'])
-        self.assertEqual(ctx.project_id,
-                         fakes.fakeAuthTokenHeaders['X-Project-Id'])
-        self.assertEqual(ctx.user_id,
-                         fakes.fakeAuthTokenHeaders['X-User-Id'])
-        self.assertEqual(ctx.auth_url,
-                         fakes.fakeAuthTokenHeaders['X-Auth-Url'])
-        self.assertEqual(ctx.domain_name,
-                         fakes.fakeAuthTokenHeaders['X-User-Domain-Name'])
-        self.assertEqual(ctx.domain_id,
-                         fakes.fakeAuthTokenHeaders['X-User-Domain-Id'])
-        self.assertIsNone(ctx.auth_token_info)
-
-    def test_context_hook_before_method_auth_info(self):
-        state = mock.Mock(request=fakes.FakePecanRequest())
-        state.request.environ['keystone.token_info'] = 'assert_this'
-        hook = hooks.ContextHook()
-        hook.before(state)
-        ctx = state.request.context
-        self.assertIsInstance(ctx, watcher_context.RequestContext)
-        self.assertEqual(fakes.fakeAuthTokenHeaders['X-Auth-Token'],
-                         ctx.auth_token)
-        self.assertEqual('assert_this', ctx.auth_token_info)
+class FakeRequest(object):
+    def __init__(self, headers, context, environ):
+        self.headers = headers
+        self.context = context
+        self.environ = environ or {}
+        self.version = (1, 0)
+        self.host_url = 'http://127.0.0.1:6385'
 
 
-class TestNoExceptionTracebackHook(api_base.FunctionalTest):
+class FakeRequestState(object):
+    def __init__(self, headers=None, context=None, environ=None):
+        self.request = FakeRequest(headers, context, environ)
+        self.response = FakeRequest(headers, context, environ)
 
-    TRACE = [
-        'Traceback (most recent call last):',
-        '  File "/opt/stack/watcher/watcher/openstack/common/rpc/amqp.py",'
-        ' line 434, in _process_data\\n   **args)',
-        '  File "/opt/stack/watcher/watcher/openstack/common/rpc/'
-        'dispatcher.py", line 172, in dispatch\\n   result ='
-        ' getattr(proxyobj, method)(context, **kwargs)']
+    def set_context(self):
+        headers = self.request.headers
+        creds = {
+            'user': headers.get('X-User') or headers.get('X-User-Id'),
+            'domain_id': headers.get('X-User-Domain-Id'),
+            'domain_name': headers.get('X-User-Domain-Name'),
+            'auth_token': headers.get('X-Auth-Token'),
+            'roles': headers.get('X-Roles', '').split(','),
+        }
+        is_admin = ('admin' in creds['roles'] or
+                    'administrator' in creds['roles'])
+        is_public_api = self.request.environ.get('is_public_api', False)
+
+        self.request.context = context.RequestContext(
+            is_admin=is_admin, is_public_api=is_public_api, **creds)
+
+
+def fake_headers(admin=False):
+    headers = {
+        'X-Auth-Token': '8d9f235ca7464dd7ba46f81515797ea0',
+        'X-Domain-Id': 'None',
+        'X-Domain-Name': 'None',
+        'X-Project-Domain-Id': 'default',
+        'X-Project-Domain-Name': 'Default',
+        'X-Role': '_member_,admin',
+        'X-Roles': '_member_,admin',
+        # 'X-Tenant': 'foo',
+        # 'X-Tenant-Id': 'b4efa69d4ffa4973863f2eefc094f7f8',
+        # 'X-Tenant-Name': 'foo',
+        'X-User': 'foo',
+        'X-User-Domain-Id': 'default',
+        'X-User-Domain-Name': 'Default',
+        'X-User-Id': '604ab2a197c442c2a84aba66708a9e1e',
+        'X-User-Name': 'foo',
+    }
+    if admin:
+        headers.update({
+            'X-Project-Name': 'admin',
+            'X-Role': '_member_,admin',
+            'X-Roles': '_member_,admin',
+            'X-Tenant': 'admin',
+            # 'X-Tenant-Name': 'admin',
+            # 'X-Tenant': 'admin'
+            'X-Tenant-Name': 'admin',
+            'X-Tenant-Id': 'c2a3a69d456a412376efdd9dac38',
+            'X-Project-Name': 'admin',
+            'X-Project-Id': 'c2a3a69d456a412376efdd9dac38',
+        })
+    else:
+        headers.update({
+            'X-Role': '_member_',
+            'X-Roles': '_member_',
+            'X-Tenant': 'foo',
+            'X-Tenant-Name': 'foo',
+            'X-Tenant-Id': 'b4efa69d,4ffa4973863f2eefc094f7f8',
+            'X-Project-Name': 'foo',
+            'X-Project-Id': 'b4efa69d4ffa4973863f2eefc094f7f8',
+        })
+    return headers
+
+
+class TestNoExceptionTracebackHook(base.FunctionalTest):
+
+    TRACE = ['Traceback (most recent call last):',
+             '  File "/opt/stack/watcher/watcher/common/rpc/amqp.py",'
+             ' line 434, in _process_data\\n   **args)',
+             '  File "/opt/stack/watcher/watcher/common/rpc/'
+             'dispatcher.py", line 172, in dispatch\\n   result ='
+             ' getattr(proxyobj, method)(ctxt, **kwargs)']
     MSG_WITHOUT_TRACE = "Test exception message."
-    MSG_WITH_TRACE = "{0}\n{1}".format(MSG_WITHOUT_TRACE, "\n".join(TRACE))
+    MSG_WITH_TRACE = MSG_WITHOUT_TRACE + "\n" + "\n".join(TRACE)
 
     def setUp(self):
         super(TestNoExceptionTracebackHook, self).setUp()
         p = mock.patch.object(root.Root, 'convert')
         self.root_convert_mock = p.start()
         self.addCleanup(p.stop)
+        cfg.CONF.set_override('debug', False, enforce_type=True)
 
     def test_hook_exception_success(self):
         self.root_convert_mock.side_effect = Exception(self.MSG_WITH_TRACE)
@@ -96,7 +134,7 @@ class TestNoExceptionTracebackHook(api_base.FunctionalTest):
     def test_hook_remote_error_success(self):
         test_exc_type = 'TestException'
         self.root_convert_mock.side_effect = messaging.rpc.RemoteError(
-            test_exc_type, self.MSG_WITHOUT_TRACE, "\n".join(self.TRACE))
+            test_exc_type, self.MSG_WITHOUT_TRACE, self.TRACE)
 
         response = self.get_json('/', path_prefix='', expect_errors=True)
 
@@ -106,12 +144,13 @@ class TestNoExceptionTracebackHook(api_base.FunctionalTest):
         # rare thing (happens due to wrong deserialization settings etc.)
         # we don't care about this garbage.
         expected_msg = ("Remote error: %s %s"
-                        % (test_exc_type, self.MSG_WITHOUT_TRACE))
+                        % (test_exc_type, self.MSG_WITHOUT_TRACE)
+                        + ("\n[u'" if six.PY2 else "\n['"))
         actual_msg = jsonutils.loads(
             response.json['error_message'])['faultstring']
         self.assertEqual(expected_msg, actual_msg)
 
-    def test_hook_without_traceback(self):
+    def _test_hook_without_traceback(self):
         msg = "Error message without traceback \n but \n multiline"
         self.root_convert_mock.side_effect = Exception(msg)
 
@@ -121,24 +160,118 @@ class TestNoExceptionTracebackHook(api_base.FunctionalTest):
             response.json['error_message'])['faultstring']
         self.assertEqual(msg, actual_msg)
 
-    def test_hook_server_debug_on_serverfault(self):
+    def test_hook_without_traceback(self):
+        self._test_hook_without_traceback()
+
+    def test_hook_without_traceback_debug(self):
         cfg.CONF.set_override('debug', True, enforce_type=True)
+        self._test_hook_without_traceback()
+
+    def test_hook_without_traceback_debug_tracebacks(self):
+        cfg.CONF.set_override('debug', True, enforce_type=True)
+        self._test_hook_without_traceback()
+
+    def _test_hook_on_serverfault(self):
         self.root_convert_mock.side_effect = Exception(self.MSG_WITH_TRACE)
 
         response = self.get_json('/', path_prefix='', expect_errors=True)
 
         actual_msg = jsonutils.loads(
             response.json['error_message'])['faultstring']
-        self.assertEqual(self.MSG_WITHOUT_TRACE, actual_msg)
+        return actual_msg
 
-    def test_hook_server_debug_on_clientfault(self):
+    def test_hook_on_serverfault(self):
+        cfg.CONF.set_override('debug', False, enforce_type=True)
+        msg = self._test_hook_on_serverfault()
+        self.assertEqual(self.MSG_WITHOUT_TRACE, msg)
+
+    def test_hook_on_serverfault_debug(self):
         cfg.CONF.set_override('debug', True, enforce_type=True)
+        msg = self._test_hook_on_serverfault()
+        self.assertEqual(self.MSG_WITH_TRACE, msg)
+
+    def _test_hook_on_clientfault(self):
         client_error = Exception(self.MSG_WITH_TRACE)
-        client_error.code = 400
+        client_error.code = http_client.BAD_REQUEST
         self.root_convert_mock.side_effect = client_error
 
         response = self.get_json('/', path_prefix='', expect_errors=True)
 
         actual_msg = jsonutils.loads(
             response.json['error_message'])['faultstring']
-        self.assertEqual(self.MSG_WITH_TRACE, actual_msg)
+        return actual_msg
+
+    def test_hook_on_clientfault(self):
+        msg = self._test_hook_on_clientfault()
+        self.assertEqual(self.MSG_WITHOUT_TRACE, msg)
+
+    def test_hook_on_clientfault_debug_tracebacks(self):
+        cfg.CONF.set_override('debug', True, enforce_type=True)
+        msg = self._test_hook_on_clientfault()
+        self.assertEqual(self.MSG_WITH_TRACE, msg)
+
+
+class TestContextHook(base.FunctionalTest):
+    @mock.patch.object(context, 'RequestContext')
+    def test_context_hook_not_admin(self, mock_ctx):
+        cfg.CONF.set_override(
+            'auth_type', 'password', group='watcher_clients_auth')
+        headers = fake_headers(admin=False)
+        reqstate = FakeRequestState(headers=headers)
+        context_hook = hooks.ContextHook()
+        context_hook.before(reqstate)
+        mock_ctx.assert_called_with(
+            auth_token=headers['X-Auth-Token'],
+            user=headers['X-User'],
+            user_id=headers['X-User-Id'],
+            domain_id=headers['X-User-Domain-Id'],
+            domain_name=headers['X-User-Domain-Name'],
+            auth_url=cfg.CONF.keystone_authtoken.auth_uri,
+            project=headers['X-Project-Name'],
+            project_id=headers['X-Project-Id'],
+            show_deleted=None,
+            auth_token_info=self.token_info,
+            roles=headers['X-Roles'].split(','))
+
+    @mock.patch.object(context, 'RequestContext')
+    def test_context_hook_admin(self, mock_ctx):
+        cfg.CONF.set_override(
+            'auth_type', 'password', group='watcher_clients_auth')
+        headers = fake_headers(admin=True)
+        reqstate = FakeRequestState(headers=headers)
+        context_hook = hooks.ContextHook()
+        context_hook.before(reqstate)
+        mock_ctx.assert_called_with(
+            auth_token=headers['X-Auth-Token'],
+            user=headers['X-User'],
+            user_id=headers['X-User-Id'],
+            domain_id=headers['X-User-Domain-Id'],
+            domain_name=headers['X-User-Domain-Name'],
+            auth_url=cfg.CONF.keystone_authtoken.auth_uri,
+            project=headers['X-Project-Name'],
+            project_id=headers['X-Project-Id'],
+            show_deleted=None,
+            auth_token_info=self.token_info,
+            roles=headers['X-Roles'].split(','))
+
+    @mock.patch.object(context, 'RequestContext')
+    def test_context_hook_public_api(self, mock_ctx):
+        cfg.CONF.set_override(
+            'auth_type', 'password', group='watcher_clients_auth')
+        headers = fake_headers(admin=True)
+        env = {'is_public_api': True}
+        reqstate = FakeRequestState(headers=headers, environ=env)
+        context_hook = hooks.ContextHook()
+        context_hook.before(reqstate)
+        mock_ctx.assert_called_with(
+            auth_token=headers['X-Auth-Token'],
+            user=headers['X-User'],
+            user_id=headers['X-User-Id'],
+            domain_id=headers['X-User-Domain-Id'],
+            domain_name=headers['X-User-Domain-Name'],
+            auth_url=cfg.CONF.keystone_authtoken.auth_uri,
+            project=headers['X-Project-Name'],
+            project_id=headers['X-Project-Id'],
+            show_deleted=None,
+            auth_token_info=self.token_info,
+            roles=headers['X-Roles'].split(','))

watcher/tests/base.py

@@ -66,7 +66,7 @@ class TestCase(BaseTestCase):
 
         app_config_path = os.path.join(os.path.dirname(__file__), 'config.py')
         self.app = testing.load_test_app(app_config_path)
-        token_info = {
+        self.token_info = {
             'token': {
                 'project': {
                     'id': 'fake_project'
@@ -77,14 +77,16 @@ class TestCase(BaseTestCase):
             }
         }
         self.context = watcher_context.RequestContext(
-            auth_token_info=token_info,
+            auth_token_info=self.token_info,
             project_id='fake_project',
             user_id='fake_user')
 
+        self.policy = self.useFixture(policy_fixture.PolicyFixture())
+
         def make_context(*args, **kwargs):
             # If context hasn't been constructed with token_info
             if not kwargs.get('auth_token_info'):
-                kwargs['auth_token_info'] = copy.deepcopy(token_info)
+                kwargs['auth_token_info'] = copy.deepcopy(self.token_info)
             if not kwargs.get('project_id'):
                 kwargs['project_id'] = 'fake_project'
             if not kwargs.get('user_id'):

watcher/tests/db/base.py

@@ -15,13 +15,9 @@
 
 """Watcher DB test base class."""
 
-import os
-import shutil
-
 import fixtures
 from oslo_config import cfg
 
-from watcher.common import paths
 from watcher.db import api as dbapi
 from watcher.db.sqlalchemy import api as sqla_api
 from watcher.db.sqlalchemy import migration
@@ -38,32 +34,17 @@ _DB_CACHE = None
 
 class Database(fixtures.Fixture):
 
-    def __init__(self, db_api, db_migrate, sql_connection,
-                 sqlite_db, sqlite_clean_db):
+    def __init__(self, db_api, db_migrate, sql_connection):
         self.sql_connection = sql_connection
-        self.sqlite_db = sqlite_db
-        self.sqlite_clean_db = sqlite_clean_db
 
         self.engine = db_api.get_engine()
         self.engine.dispose()
         conn = self.engine.connect()
-        if sql_connection == "sqlite://":
-            self.setup_sqlite(db_migrate)
-        elif sql_connection.startswith('sqlite:///'):
-            testdb = paths.state_path_rel(sqlite_db)
-            if os.path.exists(testdb):
-                return
-            self.setup_sqlite(db_migrate)
-        else:
-            db_migrate.upgrade('head')
+        self.setup_sqlite(db_migrate)
         self.post_migrations()
-        if sql_connection == "sqlite://":
-            conn = self.engine.connect()
-            self._DB = "".join(line for line in conn.connection.iterdump())
-            self.engine.dispose()
-        else:
-            cleandb = paths.state_path_rel(sqlite_clean_db)
-            shutil.copyfile(testdb, cleandb)
+
+        self._DB = "".join(line for line in conn.connection.iterdump())
+        self.engine.dispose()
 
     def setup_sqlite(self, db_migrate):
         if db_migrate.version():
@@ -74,14 +55,9 @@ class Database(fixtures.Fixture):
     def setUp(self):
         super(Database, self).setUp()
 
-        if self.sql_connection == "sqlite://":
-            conn = self.engine.connect()
-            conn.connection.executescript(self._DB)
-            self.addCleanup(self.engine.dispose)
-        else:
-            shutil.copyfile(paths.state_path_rel(self.sqlite_clean_db),
-                            paths.state_path_rel(self.sqlite_db))
-            self.addCleanup(os.unlink, self.sqlite_db)
+        conn = self.engine.connect()
+        conn.connection.executescript(self._DB)
+        self.addCleanup(self.engine.dispose)
 
     def post_migrations(self):
         """Any addition steps that are needed outside of the migrations."""
@@ -95,8 +71,6 @@ class DbTestCase(base.TestCase):
         # To use in-memory SQLite DB
         cfg.CONF.set_override("connection", "sqlite://", group="database",
                               enforce_type=True)
-        cfg.CONF.set_override("sqlite_db", "", group="database",
-                              enforce_type=True)
 
         super(DbTestCase, self).setUp()
 
@@ -105,7 +79,5 @@ class DbTestCase(base.TestCase):
         global _DB_CACHE
         if not _DB_CACHE:
             _DB_CACHE = Database(sqla_api, migration,
-                                 sql_connection=CONF.database.connection,
-                                 sqlite_db=CONF.database.sqlite_db,
-                                 sqlite_clean_db='clean.sqlite')
+                                 sql_connection=CONF.database.connection)
         self.useFixture(_DB_CACHE)

watcher/tests/decision_engine/audit/test_audit_handlers.py

@@ -25,8 +25,7 @@ from watcher.decision_engine.messaging import events
 from watcher.decision_engine.model.collector import manager
 from watcher.objects import audit as audit_objects
 from watcher.tests.db import base
-from watcher.tests.decision_engine.strategy.strategies import \
-    faker_cluster_state as faker
+from watcher.tests.decision_engine.model import faker_cluster_state as faker
 from watcher.tests.objects import utils as obj_utils
 
 

watcher/tests/decision_engine/loading/test_collector_loader.py

@@ -23,8 +23,7 @@ from watcher.common import exception
 from watcher.decision_engine.loading import default as default_loading
 from watcher.tests import base
 from watcher.tests import conf_fixture
-from watcher.tests.decision_engine.strategy.strategies import \
-    faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class TestClusterDataModelCollectorLoader(base.TestCase):

watcher/tests/decision_engine/messaging/test_audit_endpoint.py

@@ -20,8 +20,7 @@ from watcher.decision_engine.audit import oneshot as oneshot_handler
 from watcher.decision_engine.messaging import audit_endpoint
 from watcher.decision_engine.model.collector import manager
 from watcher.tests.db import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 from watcher.tests.objects import utils as obj_utils
 
 

watcher/tests/decision_engine/model/data/scenario_1.xml

@@ -0,0 +1,47 @@
+<ModelRoot>
+  <ComputeNode human_id="" uuid="Node_0" status="enabled" state="up" id="0" hostname="hostname_0" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_0" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="INSTANCE_1" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_1" status="enabled" state="up" id="1" hostname="hostname_1" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_2" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_2" status="enabled" state="up" id="2" hostname="hostname_2" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_3" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="INSTANCE_4" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="INSTANCE_5" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_3" status="enabled" state="up" id="3" hostname="hostname_3" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_6" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_4" status="enabled" state="up" id="4" hostname="hostname_4" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_7" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <Instance state="active" human_id="" uuid="INSTANCE_10" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_11" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_12" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_13" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_14" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_15" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_16" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_17" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_18" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_19" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_20" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_21" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_22" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_23" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_24" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_25" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_26" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_27" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_28" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_29" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_30" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_31" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_32" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_33" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_34" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_8" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  <Instance state="active" human_id="" uuid="INSTANCE_9" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_1_with_metrics.xml

@@ -0,0 +1,8 @@
+<ModelRoot>
+  <ComputeNode hostname="hostname_0" uuid="Node_0" id="0" state="enabled" human_id="" status="enabled" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_0" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_1" uuid="Node_1" id="1" state="enabled" human_id="" status="enabled" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_1" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_2_with_metrics.xml

@@ -0,0 +1,13 @@
+<ModelRoot>
+  <ComputeNode hostname="hostname_0" uuid="Node_0" id="0" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_0" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_1" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_2" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_3" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_4" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_5" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_1" uuid="Node_1" id="1" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64"/>
+  <ComputeNode hostname="hostname_2" uuid="Node_2" id="2" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64"/>
+  <ComputeNode hostname="hostname_3" uuid="Node_3" id="3" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64"/>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_3_with_2_nodes.xml

@@ -0,0 +1,8 @@
+<ModelRoot>
+  <ComputeNode human_id="" uuid="Node_0" status="enabled" state="up" id="0" hostname="hostname_0" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="73b09e16-35b7-4922-804e-e8f5d9b740fc" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_1" status="enabled" state="up" id="1" hostname="hostname_1" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="a4cab39b-9828-413a-bf88-f76921bf1517" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_3_with_metrics.xml

@@ -0,0 +1,9 @@
+<ModelRoot>
+  <ComputeNode hostname="hostname_0" uuid="Node_0" id="0" state="up" human_id="" status="enabled" ResourceType.cpu_cores="10" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_6" ResourceType.cpu_cores="1" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_7" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_8" ResourceType.cpu_cores="4" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_9" ResourceType.cpu_cores="8" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_1" uuid="Node_1" id="1" state="up" human_id="" status="enabled" ResourceType.cpu_cores="10" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64"/>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_4_with_1_node_no_instance.xml

@@ -0,0 +1,3 @@
+<ModelRoot>
+  <ComputeNode human_id="" uuid="Node_0" status="enabled" state="up" id="0" hostname="hostname_0" ResourceType.cpu_cores="1" ResourceType.disk="1" ResourceType.disk_capacity="1" ResourceType.memory="1"/>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_5_with_instance_disk_0.xml

@@ -0,0 +1,5 @@
+<ModelRoot>
+  <ComputeNode human_id="" uuid="Node_0" status="enabled" state="up" id="0" hostname="hostname_0" ResourceType.cpu_cores="4" ResourceType.disk="4" ResourceType.disk_capacity="4" ResourceType.memory="4">
+    <Instance state="active" human_id="" uuid="INSTANCE_0" hostname="" ResourceType.cpu_cores="4" ResourceType.disk="0" ResourceType.disk_capacity="0" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_6_with_2_nodes.xml

@@ -0,0 +1,10 @@
+<ModelRoot>
+  <ComputeNode human_id="" uuid="Node_0" status="enabled" state="up" id="0" hostname="hostname_0" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="73b09e16-35b7-4922-804e-e8f5d9b740fc" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="INSTANCE_1" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_1" status="enabled" state="up" id="1" hostname="hostname_1" ResourceType.cpu_cores="40" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_3" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="INSTANCE_4" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_7_with_2_nodes.xml

@@ -0,0 +1,10 @@
+<ModelRoot>
+  <ComputeNode human_id="" uuid="Node_0" status="enabled" state="up" id="0" hostname="hostname_0" ResourceType.cpu_cores="50" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="73b09e16-35b7-4922-804e-e8f5d9b740fc" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="cae81432-1631-4d4e-b29c-6f3acdcde906" hostname="" ResourceType.cpu_cores="15" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode human_id="" uuid="Node_1" status="enabled" state="up" id="1" hostname="hostname_1" ResourceType.cpu_cores="50" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="132">
+    <Instance state="active" human_id="" uuid="INSTANCE_3" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance state="active" human_id="" uuid="INSTANCE_4" hostname="" ResourceType.cpu_cores="10" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_8_with_4_nodes.xml

@@ -0,0 +1,16 @@
+<ModelRoot>
+  <ComputeNode hostname="hostname_0" uuid="Node_0" id="0" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_0" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_1" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_2" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_1" uuid="Node_1" id="1" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_3" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_2" uuid="Node_2" id="2" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_4" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_3" uuid="Node_3" id="3" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_5" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/data/scenario_9_with_3_active_plus_1_disabled_nodes.xml

@@ -0,0 +1,16 @@
+<ModelRoot>
+  <ComputeNode hostname="hostname_0" uuid="Node_0" id="0" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_0" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_1" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_2" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_1" uuid="Node_1" id="1" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_3" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_2" uuid="Node_2" id="2" state="up" human_id="" status="enabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_4" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+  <ComputeNode hostname="hostname_3" uuid="Node_3" id="3" state="up" human_id="" status="disabled" ResourceType.cpu_cores="16" ResourceType.disk="250" ResourceType.disk_capacity="250" ResourceType.memory="64">
+    <Instance hostname="" human_id="" state="active" uuid="INSTANCE_5" ResourceType.cpu_cores="2" ResourceType.disk="20" ResourceType.disk_capacity="20" ResourceType.memory="2"/>
+  </ComputeNode>
+</ModelRoot>

watcher/tests/decision_engine/model/faker_cluster_and_metrics.py

@@ -0,0 +1,161 @@
+# -*- encoding: utf-8 -*-
+#
+# Authors: Vojtech CIMA <cima@zhaw.ch>
+#          Bruno GRAZIOLI <gaea@zhaw.ch>
+#          Sean MURPHY <murp@zhaw.ch>
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+# implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+import mock
+
+from watcher.decision_engine.model.collector import base
+from watcher.decision_engine.model import element
+from watcher.decision_engine.model import model_root as modelroot
+
+
+class FakerModelCollector(base.BaseClusterDataModelCollector):
+
+    def __init__(self, config=None, osc=None):
+        if config is None:
+            config = mock.Mock()
+        super(FakerModelCollector, self).__init__(config)
+
+    @property
+    def notification_endpoints(self):
+        return []
+
+    def execute(self):
+        return self.generate_scenario_1()
+
+    def load_data(self, filename):
+        cwd = os.path.abspath(os.path.dirname(__file__))
+        data_folder = os.path.join(cwd, "data")
+
+        with open(os.path.join(data_folder, filename), 'rb') as xml_file:
+            xml_data = xml_file.read()
+
+        return xml_data
+
+    def load_model(self, filename):
+        return modelroot.ModelRoot.from_xml(self.load_data(filename))
+
+    def generate_scenario_1(self):
+        """Simulates cluster with 2 nodes and 2 instances using 1:1 mapping"""
+        return self.load_model('scenario_1_with_metrics.xml')
+
+    def generate_scenario_2(self):
+        """Simulates a cluster
+
+        With 4 nodes and 6 instances all mapped to a single node
+        """
+        return self.load_model('scenario_2_with_metrics.xml')
+
+    def generate_scenario_3(self):
+        """Simulates a cluster
+
+        With 4 nodes and 6 instances all mapped to one node
+        """
+        return self.load_model('scenario_3_with_metrics.xml')
+
+    def generate_scenario_4(self):
+        """Simulates a cluster
+
+        With 4 nodes and 6 instances spread on all nodes
+        """
+        return self.load_model('scenario_4_with_metrics.xml')
+
+
+class FakeCeilometerMetrics(object):
+    def __init__(self, model):
+        self.model = model
+
+    def mock_get_statistics(self, resource_id, meter_name, period=3600,
+                            aggregate='avg'):
+        if meter_name == "compute.node.cpu.percent":
+            return self.get_node_cpu_util(resource_id)
+        elif meter_name == "cpu_util":
+            return self.get_instance_cpu_util(resource_id)
+        elif meter_name == "memory.usage":
+            return self.get_instance_ram_util(resource_id)
+        elif meter_name == "disk.root.size":
+            return self.get_instance_disk_root_size(resource_id)
+
+    def get_node_cpu_util(self, r_id):
+        """Calculates node utilization dynamicaly.
+
+        node CPU utilization should consider
+        and corelate with actual instance-node mappings
+        provided within a cluster model.
+        Returns relative node CPU utilization <0, 100>.
+        :param r_id: resource id
+        """
+
+        id = '%s_%s' % (r_id.split('_')[0], r_id.split('_')[1])
+        instances = self.model.get_mapping().get_node_instances_by_uuid(id)
+        util_sum = 0.0
+        node_cpu_cores = self.model.get_resource_by_uuid(
+            element.ResourceType.cpu_cores).get_capacity_by_uuid(id)
+        for instance_uuid in instances:
+            instance_cpu_cores = self.model.get_resource_by_uuid(
+                element.ResourceType.cpu_cores).\
+                get_capacity(self.model.get_instance_by_uuid(instance_uuid))
+            total_cpu_util = instance_cpu_cores * self.get_instance_cpu_util(
+                instance_uuid)
+            util_sum += total_cpu_util / 100.0
+        util_sum /= node_cpu_cores
+        return util_sum * 100.0
+
+    def get_instance_cpu_util(self, r_id):
+        instance_cpu_util = dict()
+        instance_cpu_util['INSTANCE_0'] = 10
+        instance_cpu_util['INSTANCE_1'] = 30
+        instance_cpu_util['INSTANCE_2'] = 60
+        instance_cpu_util['INSTANCE_3'] = 20
+        instance_cpu_util['INSTANCE_4'] = 40
+        instance_cpu_util['INSTANCE_5'] = 50
+        instance_cpu_util['INSTANCE_6'] = 100
+        instance_cpu_util['INSTANCE_7'] = 100
+        instance_cpu_util['INSTANCE_8'] = 100
+        instance_cpu_util['INSTANCE_9'] = 100
+        return instance_cpu_util[str(r_id)]
+
+    def get_instance_ram_util(self, r_id):
+        instance_ram_util = dict()
+        instance_ram_util['INSTANCE_0'] = 1
+        instance_ram_util['INSTANCE_1'] = 2
+        instance_ram_util['INSTANCE_2'] = 4
+        instance_ram_util['INSTANCE_3'] = 8
+        instance_ram_util['INSTANCE_4'] = 3
+        instance_ram_util['INSTANCE_5'] = 2
+        instance_ram_util['INSTANCE_6'] = 1
+        instance_ram_util['INSTANCE_7'] = 2
+        instance_ram_util['INSTANCE_8'] = 4
+        instance_ram_util['INSTANCE_9'] = 8
+        return instance_ram_util[str(r_id)]
+
+    def get_instance_disk_root_size(self, r_id):
+        instance_disk_util = dict()
+        instance_disk_util['INSTANCE_0'] = 10
+        instance_disk_util['INSTANCE_1'] = 15
+        instance_disk_util['INSTANCE_2'] = 30
+        instance_disk_util['INSTANCE_3'] = 35
+        instance_disk_util['INSTANCE_4'] = 20
+        instance_disk_util['INSTANCE_5'] = 25
+        instance_disk_util['INSTANCE_6'] = 25
+        instance_disk_util['INSTANCE_7'] = 25
+        instance_disk_util['INSTANCE_8'] = 25
+        instance_disk_util['INSTANCE_9'] = 25
+        return instance_disk_util[str(r_id)]

watcher/tests/decision_engine/model/faker_cluster_state.py

@@ -0,0 +1,157 @@
+# -*- encoding: utf-8 -*-
+# Copyright (c) 2015 b<>com
+#
+# Authors: Jean-Emile DARTOIS <jean-emile.dartois@b-com.com>
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+# http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+# implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import os
+
+import mock
+
+from watcher.decision_engine.model.collector import base
+from watcher.decision_engine.model import element
+from watcher.decision_engine.model import model_root as modelroot
+
+
+class FakerModelCollector(base.BaseClusterDataModelCollector):
+
+    def __init__(self, config=None, osc=None):
+        if config is None:
+            config = mock.Mock(period=777)
+        super(FakerModelCollector, self).__init__(config)
+
+    @property
+    def notification_endpoints(self):
+        return []
+
+    def load_data(self, filename):
+        cwd = os.path.abspath(os.path.dirname(__file__))
+        data_folder = os.path.join(cwd, "data")
+
+        with open(os.path.join(data_folder, filename), 'rb') as xml_file:
+            xml_data = xml_file.read()
+
+        return xml_data
+
+    def load_model(self, filename):
+        return modelroot.ModelRoot.from_xml(self.load_data(filename))
+
+    def execute(self):
+        return self._cluster_data_model or self.build_scenario_1()
+
+    def build_scenario_1(self):
+        instances = []
+
+        current_state_cluster = modelroot.ModelRoot()
+        # number of nodes
+        node_count = 5
+        # number max of instance per node
+        node_instance_count = 7
+        # total number of virtual machine
+        instance_count = (node_count * node_instance_count)
+
+        # define ressouce ( CPU, MEM disk, ... )
+        mem = element.Resource(element.ResourceType.memory)
+        # 2199.954 Mhz
+        num_cores = element.Resource(element.ResourceType.cpu_cores)
+        disk = element.Resource(element.ResourceType.disk)
+        disk_capacity = element.Resource(element.ResourceType.disk_capacity)
+
+        current_state_cluster.create_resource(mem)
+        current_state_cluster.create_resource(num_cores)
+        current_state_cluster.create_resource(disk)
+        current_state_cluster.create_resource(disk_capacity)
+
+        for id_ in range(0, node_count):
+            node_uuid = "Node_{0}".format(id_)
+            node = element.ComputeNode(id_)
+            node.uuid = node_uuid
+            node.hostname = "hostname_{0}".format(id_)
+
+            mem.set_capacity(node, 132)
+            disk.set_capacity(node, 250)
+            disk_capacity.set_capacity(node, 250)
+            num_cores.set_capacity(node, 40)
+            current_state_cluster.add_node(node)
+
+        for i in range(0, instance_count):
+            instance_uuid = "INSTANCE_{0}".format(i)
+            instance = element.Instance()
+            instance.uuid = instance_uuid
+            mem.set_capacity(instance, 2)
+            disk.set_capacity(instance, 20)
+            disk_capacity.set_capacity(instance, 20)
+            num_cores.set_capacity(instance, 10)
+            instances.append(instance)
+            current_state_cluster.add_instance(instance)
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_0"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_0"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_0"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_1"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_1"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_2"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_2"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_3"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_2"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_4"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_2"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_5"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_3"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_6"))
+
+        current_state_cluster.mapping.map(
+            current_state_cluster.get_node_by_uuid("Node_4"),
+            current_state_cluster.get_instance_by_uuid("INSTANCE_7"))
+
+        return current_state_cluster
+
+    def generate_scenario_1(self):
+        return self.load_model('scenario_1.xml')
+
+    def generate_scenario_3_with_2_nodes(self):
+        return self.load_model('scenario_3_with_2_nodes.xml')
+
+    def generate_scenario_4_with_1_node_no_instance(self):
+        return self.load_model('scenario_4_with_1_node_no_instance.xml')
+
+    def generate_scenario_5_with_instance_disk_0(self):
+        return self.load_model('scenario_5_with_instance_disk_0.xml')
+
+    def generate_scenario_6_with_2_nodes(self):
+        return self.load_model('scenario_6_with_2_nodes.xml')
+
+    def generate_scenario_7_with_2_nodes(self):
+        return self.load_model('scenario_7_with_2_nodes.xml')
+
+    def generate_scenario_8_with_4_nodes(self):
+        return self.load_model('scenario_8_with_4_nodes.xml')
+
+    def generate_scenario_9_with_3_active_plus_1_disabled_nodes(self):
+        return self.load_model(
+            'scenario_9_with_3_active_plus_1_disabled_nodes.xml')

watcher/tests/decision_engine/model/faker_metrics_collector.py

@@ -250,9 +250,3 @@ class FakerMetricsCollector(object):
 
     def get_virtual_machine_capacity(self, instance_uuid):
         return random.randint(1, 4)
-
-    def get_average_network_incomming(self, node):
-        pass
-
-    def get_average_network_outcomming(self, node):
-        pass

watcher/tests/decision_engine/model/notification/data/scenario3_notfound_instance-update.json

@@ -0,0 +1,65 @@
+{
+    "event_type": "instance.update",
+    "payload": {
+        "nova_object.data": {
+            "architecture": "x86_64",
+            "audit_period": {
+                "nova_object.data": {
+                    "audit_period_beginning": "2012-10-01T00:00:00Z",
+                    "audit_period_ending": "2012-10-29T13:42:11Z"},
+                "nova_object.name": "AuditPeriodPayload",
+                "nova_object.namespace": "nova",
+                "nova_object.version": "1.0"
+            },
+            "availability_zone": null,
+            "bandwidth": [],
+            "created_at": "2012-10-29T13:42:11Z",
+            "deleted_at": null,
+            "display_name": "NEW INSTANCE 9966d6bd-a45c-4e1c-9d57-3054899a3ec7",
+            "host": "Node_2",
+            "host_name": "NEW_INSTANCE_9966d6bd-a45c-4e1c-9d57-3054899a3ec7",
+            "image_uuid": "155d900f-4e14-4e4c-a73d-069cbf4541e6",
+            "kernel_id": "",
+            "launched_at": null,
+            "metadata": {},
+            "node": "hostname_0",
+            "old_display_name": null,
+            "os_type": null,
+            "progress": 0,
+            "ramdisk_id": "",
+            "reservation_id": "r-sd3ygfjj",
+            "state": "paused",
+            "task_state": "scheduling",
+            "power_state": "pending",
+            "ip_addresses": [],
+            "state_update": {
+                "nova_object.data": {
+                    "old_task_state": null,
+                    "new_task_state": null,
+                    "old_state": "paused",
+                    "state": "paused"},
+                "nova_object.name": "InstanceStateUpdatePayload",
+                "nova_object.namespace": "nova",
+                "nova_object.version": "1.0"},
+            "tenant_id": "6f70656e737461636b20342065766572",
+            "terminated_at": null,
+            "flavor": {
+                "nova_object.name": "FlavorPayload",
+                "nova_object.data": {
+                    "flavorid": "a22d5517-147c-4147-a0d1-e698df5cd4e3",
+                    "root_gb": 1,
+                    "vcpus": 1,
+                    "ephemeral_gb": 0,
+                    "memory_mb": 512
+                },
+                "nova_object.version": "1.0",
+                "nova_object.namespace": "nova"
+            },
+            "user_id": "fake",
+            "uuid": "9966d6bd-a45c-4e1c-9d57-3054899a3ec7"},
+        "nova_object.name": "InstanceUpdatePayload",
+        "nova_object.namespace": "nova",
+        "nova_object.version": "1.0"},
+    "priority": "INFO",
+    "publisher_id": "nova-compute:Node_2"
+}

watcher/tests/decision_engine/model/notification/data/scenario3_notfound_legacy_instance-update.json

@@ -0,0 +1,52 @@
+{
+  "publisher_id": "compute:Node_2",
+  "event_type": "compute.instance.update",
+  "payload": {
+    "access_ip_v4": null,
+    "access_ip_v6": null,
+    "architecture": null,
+    "audit_period_beginning": "2016-08-17T13:00:00.000000",
+    "audit_period_ending": "2016-08-17T13:56:05.262440",
+    "availability_zone": "nova",
+    "bandwidth": {},
+    "cell_name": "",
+    "created_at": "2016-08-17 13:53:23+00:00",
+    "deleted_at": "",
+    "disk_gb": 1,
+    "display_name": "NEW INSTANCE 9966d6bd-a45c-4e1c-9d57-3054899a3ec7",
+    "ephemeral_gb": 0,
+    "host": "Node_2",
+    "hostname": "NEW_INSTANCE_9966d6bd-a45c-4e1c-9d57-3054899a3ec7",
+    "image_meta": {
+      "base_image_ref": "205f96f5-91f9-42eb-9138-03fffcea2b97",
+      "container_format": "bare",
+      "disk_format": "qcow2",
+      "min_disk": "1",
+      "min_ram": "0"
+    },
+    "image_ref_url": "http://10.50.0.222:9292/images/205f96f5-91f9-42eb-9138-03fffcea2b97",
+    "instance_flavor_id": "1",
+    "instance_id": "9966d6bd-a45c-4e1c-9d57-3054899a3ec7",
+    "instance_type": "m1.tiny",
+    "instance_type_id": 2,
+    "kernel_id": "",
+    "launched_at": "2016-08-17T13:53:35.000000",
+    "memory_mb": 512,
+    "metadata": {},
+    "new_task_state": null,
+    "node": "hostname_0",
+    "old_state": "paused",
+    "old_task_state": null,
+    "os_type": null,
+    "progress": "",
+    "ramdisk_id": "",
+    "reservation_id": "r-0822ymml",
+    "root_gb": 1,
+    "state": "paused",
+    "state_description": "paused",
+    "tenant_id": "a4b4772d93c74d5e8b7c68cdd2a014e1",
+    "terminated_at": "",
+    "user_id": "ce64facc93354bbfa90f4f9f9a3e1e75",
+    "vcpus": 1
+  }
+}

watcher/tests/decision_engine/model/notification/fake_managers.py

@@ -17,8 +17,7 @@
 # limitations under the License.
 
 from watcher.decision_engine.model.notification import nova as novanotification
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class FakeManager(object):

watcher/tests/decision_engine/model/notification/test_nova_notifications.py

@@ -23,14 +23,14 @@ from oslo_serialization import jsonutils
 
 from watcher.common import context
 from watcher.common import exception
+from watcher.common import nova_helper
 from watcher.common import service as watcher_service
 from watcher.decision_engine.model import element
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.model.notification import nova as novanotification
 from watcher.tests import base as base_test
+from watcher.tests.decision_engine.model import faker_cluster_state
 from watcher.tests.decision_engine.model.notification import fake_managers
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
 
 
 class NotificationTestCase(base_test.TestCase):
@@ -125,7 +125,7 @@ class TestNovaNotifications(NotificationTestCase):
         handler = novanotification.ServiceUpdated(self.fake_cdmc)
 
         node0_uuid = 'Node_0'
-        node0 = compute_model.get_node_from_id(node0_uuid)
+        node0 = compute_model.get_node_by_uuid(node0_uuid)
 
         message = self.load_message('scenario3_service-update.json')
 
@@ -151,7 +151,7 @@ class TestNovaNotifications(NotificationTestCase):
         handler = novanotification.InstanceUpdated(self.fake_cdmc)
 
         instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
 
         message = self.load_message('scenario3_instance-update.json')
 
@@ -167,34 +167,46 @@ class TestNovaNotifications(NotificationTestCase):
 
         self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
 
-    def test_nova_instance_update_notfound_creates(self):
+    @mock.patch.object(nova_helper, "NovaHelper")
+    def test_nova_instance_update_notfound_still_creates(
+            self, m_nova_helper_cls):
+        m_get_compute_node_by_hostname = mock.Mock(
+            side_effect=lambda uuid: mock.Mock(
+                name='m_get_compute_node_by_hostname',
+                id=3,
+                uuid=uuid,
+                memory_mb=7777,
+                vcpus=42,
+                free_disk_gb=974,
+                local_gb=1337))
+        m_nova_helper_cls.return_value = mock.Mock(
+            get_compute_node_by_hostname=m_get_compute_node_by_hostname,
+            name='m_nova_helper')
+
         compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
         self.fake_cdmc.cluster_data_model = compute_model
         handler = novanotification.InstanceUpdated(self.fake_cdmc)
 
-        instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
+        instance0_uuid = '9966d6bd-a45c-4e1c-9d57-3054899a3ec7'
 
-        message = self.load_message('scenario3_instance-update.json')
+        message = self.load_message('scenario3_notfound_instance-update.json')
 
-        with mock.patch.object(
-            model_root.ModelRoot, 'get_instance_from_id'
-        ) as m_get_instance_from_id:
-            m_get_instance_from_id.side_effect = exception.InstanceNotFound(
-                name='TEST')
-            handler.info(
-                ctxt=self.context,
-                publisher_id=message['publisher_id'],
-                event_type=message['event_type'],
-                payload=message['payload'],
-                metadata=self.FAKE_METADATA,
-            )
+        handler.info(
+            ctxt=self.context,
+            publisher_id=message['publisher_id'],
+            event_type=message['event_type'],
+            payload=message['payload'],
+            metadata=self.FAKE_METADATA,
+        )
 
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
-        cpu_capacity = compute_model.get_resource_from_id(
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
+        cpu_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        disk_capacity = compute_model.get_resource_from_id(
+        disk = compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        memory_capacity = compute_model.get_resource_from_id(
+        disk_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.disk_capacity)
+        memory_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
         self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
@@ -202,6 +214,60 @@ class TestNovaNotifications(NotificationTestCase):
         self.assertEqual(1, disk_capacity.get_capacity(instance0))
         self.assertEqual(512, memory_capacity.get_capacity(instance0))
 
+        m_get_compute_node_by_hostname.assert_called_once_with('Node_2')
+        node_2 = compute_model.get_node_by_uuid('Node_2')
+        self.assertEqual(7777, memory_capacity.get_capacity(node_2))
+        self.assertEqual(42, cpu_capacity.get_capacity(node_2))
+        self.assertEqual(974, disk.get_capacity(node_2))
+        self.assertEqual(1337, disk_capacity.get_capacity(node_2))
+
+    @mock.patch.object(nova_helper, "NovaHelper")
+    def test_instance_update_node_notfound_set_unmapped(
+            self, m_nova_helper_cls):
+        m_get_compute_node_by_hostname = mock.Mock(
+            side_effect=exception.ComputeNodeNotFound)
+        m_nova_helper_cls.return_value = mock.Mock(
+            get_compute_node_by_hostname=m_get_compute_node_by_hostname,
+            name='m_nova_helper')
+
+        compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
+        self.fake_cdmc.cluster_data_model = compute_model
+        handler = novanotification.InstanceUpdated(self.fake_cdmc)
+
+        instance0_uuid = '9966d6bd-a45c-4e1c-9d57-3054899a3ec7'
+
+        message = self.load_message(
+            'scenario3_notfound_instance-update.json')
+
+        handler.info(
+            ctxt=self.context,
+            publisher_id=message['publisher_id'],
+            event_type=message['event_type'],
+            payload=message['payload'],
+            metadata=self.FAKE_METADATA,
+        )
+
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
+        cpu_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.cpu_cores)
+        disk = compute_model.get_resource_by_uuid(
+            element.ResourceType.disk)
+        disk_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.disk_capacity)
+        memory_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.memory)
+
+        self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
+        self.assertEqual(1, cpu_capacity.get_capacity(instance0))
+        self.assertEqual(1, disk.get_capacity(instance0))
+        self.assertEqual(1, disk_capacity.get_capacity(instance0))
+        self.assertEqual(512, memory_capacity.get_capacity(instance0))
+
+        m_get_compute_node_by_hostname.assert_any_call('Node_2')
+        self.assertRaises(
+            exception.ComputeNodeNotFound,
+            compute_model.get_node_by_uuid, 'Node_2')
+
     def test_nova_instance_create(self):
         compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
         self.fake_cdmc.cluster_data_model = compute_model
@@ -211,7 +277,7 @@ class TestNovaNotifications(NotificationTestCase):
 
         self.assertRaises(
             exception.InstanceNotFound,
-            compute_model.get_instance_from_id, instance0_uuid)
+            compute_model.get_instance_by_uuid, instance0_uuid)
 
         message = self.load_message('scenario3_instance-create.json')
         handler.info(
@@ -222,12 +288,12 @@ class TestNovaNotifications(NotificationTestCase):
             metadata=self.FAKE_METADATA,
         )
 
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
-        cpu_capacity = compute_model.get_resource_from_id(
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
+        cpu_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        disk_capacity = compute_model.get_resource_from_id(
+        disk_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        memory_capacity = compute_model.get_resource_from_id(
+        memory_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
         self.assertEqual(element.InstanceState.ACTIVE.value, instance0.state)
@@ -243,7 +309,7 @@ class TestNovaNotifications(NotificationTestCase):
         instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
 
         # Before
-        self.assertTrue(compute_model.get_instance_from_id(instance0_uuid))
+        self.assertTrue(compute_model.get_instance_by_uuid(instance0_uuid))
         for resource in compute_model.resource.values():
             self.assertIn(instance0_uuid, resource.mapping)
 
@@ -259,7 +325,7 @@ class TestNovaNotifications(NotificationTestCase):
         # After
         self.assertRaises(
             exception.InstanceNotFound,
-            compute_model.get_instance_from_id, instance0_uuid)
+            compute_model.get_instance_by_uuid, instance0_uuid)
 
         for resource in compute_model.resource.values():
             self.assertNotIn(instance0_uuid, resource.mapping)
@@ -282,7 +348,7 @@ class TestLegacyNovaNotifications(NotificationTestCase):
         instance0_uuid = 'c03c0bf9-f46e-4e4f-93f1-817568567ee2'
         self.assertRaises(
             exception.InstanceNotFound,
-            compute_model.get_instance_from_id, instance0_uuid)
+            compute_model.get_instance_by_uuid, instance0_uuid)
 
         message = self.load_message(
             'scenario3_legacy_instance-create-end.json')
@@ -295,12 +361,12 @@ class TestLegacyNovaNotifications(NotificationTestCase):
             metadata=self.FAKE_METADATA,
         )
 
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
-        cpu_capacity = compute_model.get_resource_from_id(
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
+        cpu_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        disk_capacity = compute_model.get_resource_from_id(
+        disk_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        memory_capacity = compute_model.get_resource_from_id(
+        memory_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
         self.assertEqual(element.InstanceState.ACTIVE.value, instance0.state)
@@ -314,7 +380,7 @@ class TestLegacyNovaNotifications(NotificationTestCase):
         handler = novanotification.LegacyInstanceUpdated(self.fake_cdmc)
 
         instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
 
         message = self.load_message('scenario3_legacy_instance-update.json')
 
@@ -330,7 +396,7 @@ class TestLegacyNovaNotifications(NotificationTestCase):
 
         self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
 
-    def test_legacy_instance_update_notfound_creates(self):
+    def test_legacy_instance_update_instance_notfound_creates(self):
         compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
         self.fake_cdmc.cluster_data_model = compute_model
         handler = novanotification.LegacyInstanceUpdated(self.fake_cdmc)
@@ -340,9 +406,9 @@ class TestLegacyNovaNotifications(NotificationTestCase):
         message = self.load_message('scenario3_legacy_instance-update.json')
 
         with mock.patch.object(
-            model_root.ModelRoot, 'get_instance_from_id'
-        ) as m_get_instance_from_id:
-            m_get_instance_from_id.side_effect = exception.InstanceNotFound(
+            model_root.ModelRoot, 'get_instance_by_uuid'
+        ) as m_get_instance_by_uuid:
+            m_get_instance_by_uuid.side_effect = exception.InstanceNotFound(
                 name='TEST')
             handler.info(
                 ctxt=self.context,
@@ -352,58 +418,121 @@ class TestLegacyNovaNotifications(NotificationTestCase):
                 metadata=self.FAKE_METADATA,
             )
 
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
         self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
 
-    def test_legacy_instance_update_node_notfound_stil_creates(self):
+    @mock.patch.object(nova_helper, "NovaHelper")
+    def test_legacy_instance_update_node_notfound_still_creates(
+            self, m_nova_helper_cls):
+        m_get_compute_node_by_hostname = mock.Mock(
+            side_effect=lambda uuid: mock.Mock(
+                name='m_get_compute_node_by_hostname',
+                id=3,
+                uuid=uuid,
+                memory_mb=7777,
+                vcpus=42,
+                free_disk_gb=974,
+                local_gb=1337))
+        m_nova_helper_cls.return_value = mock.Mock(
+            get_compute_node_by_hostname=m_get_compute_node_by_hostname,
+            name='m_nova_helper')
+
         compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
         self.fake_cdmc.cluster_data_model = compute_model
         handler = novanotification.LegacyInstanceUpdated(self.fake_cdmc)
 
-        instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
+        instance0_uuid = '9966d6bd-a45c-4e1c-9d57-3054899a3ec7'
 
-        message = self.load_message('scenario3_legacy_instance-update.json')
+        message = self.load_message(
+            'scenario3_notfound_legacy_instance-update.json')
 
-        with mock.patch.object(
-            model_root.ModelRoot, 'get_instance_from_id'
-        ) as m_get_instance_from_id:
-            m_get_instance_from_id.side_effect = exception.InstanceNotFound(
-                name='TEST')
-            with mock.patch.object(
-                model_root.ModelRoot, 'get_node_from_id'
-            ) as m_get_node_from_id:
-                m_get_node_from_id.side_effect = exception.ComputeNodeNotFound(
-                    name='TEST')
-                handler.info(
-                    ctxt=self.context,
-                    publisher_id=message['publisher_id'],
-                    event_type=message['event_type'],
-                    payload=message['payload'],
-                    metadata=self.FAKE_METADATA,
-                )
+        handler.info(
+            ctxt=self.context,
+            publisher_id=message['publisher_id'],
+            event_type=message['event_type'],
+            payload=message['payload'],
+            metadata=self.FAKE_METADATA,
+        )
 
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
-        cpu_capacity = compute_model.get_resource_from_id(
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
+        cpu_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.cpu_cores)
-        disk_capacity = compute_model.get_resource_from_id(
+        disk = compute_model.get_resource_by_uuid(
             element.ResourceType.disk)
-        memory_capacity = compute_model.get_resource_from_id(
+        disk_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.disk_capacity)
+        memory_capacity = compute_model.get_resource_by_uuid(
             element.ResourceType.memory)
 
         self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
         self.assertEqual(1, cpu_capacity.get_capacity(instance0))
+        self.assertEqual(1, disk.get_capacity(instance0))
         self.assertEqual(1, disk_capacity.get_capacity(instance0))
         self.assertEqual(512, memory_capacity.get_capacity(instance0))
 
+        m_get_compute_node_by_hostname.assert_any_call('Node_2')
+        node_2 = compute_model.get_node_by_uuid('Node_2')
+        self.assertEqual(7777, memory_capacity.get_capacity(node_2))
+        self.assertEqual(42, cpu_capacity.get_capacity(node_2))
+        self.assertEqual(974, disk.get_capacity(node_2))
+        self.assertEqual(1337, disk_capacity.get_capacity(node_2))
+
+    @mock.patch.object(nova_helper, "NovaHelper")
+    def test_legacy_instance_update_node_notfound_set_unmapped(
+            self, m_nova_helper_cls):
+        m_get_compute_node_by_hostname = mock.Mock(
+            side_effect=exception.ComputeNodeNotFound)
+        m_nova_helper_cls.return_value = mock.Mock(
+            get_compute_node_by_hostname=m_get_compute_node_by_hostname,
+            name='m_nova_helper')
+
+        compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
+        self.fake_cdmc.cluster_data_model = compute_model
+        handler = novanotification.LegacyInstanceUpdated(self.fake_cdmc)
+
+        instance0_uuid = '9966d6bd-a45c-4e1c-9d57-3054899a3ec7'
+
+        message = self.load_message(
+            'scenario3_notfound_legacy_instance-update.json')
+
+        handler.info(
+            ctxt=self.context,
+            publisher_id=message['publisher_id'],
+            event_type=message['event_type'],
+            payload=message['payload'],
+            metadata=self.FAKE_METADATA,
+        )
+
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
+        cpu_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.cpu_cores)
+        disk = compute_model.get_resource_by_uuid(
+            element.ResourceType.disk)
+        disk_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.disk_capacity)
+        memory_capacity = compute_model.get_resource_by_uuid(
+            element.ResourceType.memory)
+
+        self.assertEqual(element.InstanceState.PAUSED.value, instance0.state)
+        self.assertEqual(1, cpu_capacity.get_capacity(instance0))
+        self.assertEqual(1, disk.get_capacity(instance0))
+        self.assertEqual(1, disk_capacity.get_capacity(instance0))
+        self.assertEqual(512, memory_capacity.get_capacity(instance0))
+
+        m_get_compute_node_by_hostname.assert_any_call('Node_2')
+        self.assertRaises(
+            exception.ComputeNodeNotFound,
+            compute_model.get_node_by_uuid, 'Node_2')
+
     def test_legacy_live_migrated_end(self):
         compute_model = self.fake_cdmc.generate_scenario_3_with_2_nodes()
         self.fake_cdmc.cluster_data_model = compute_model
         handler = novanotification.LegacyLiveMigratedEnd(self.fake_cdmc)
 
         instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
-        instance0 = compute_model.get_instance_from_id(instance0_uuid)
+        instance0 = compute_model.get_instance_by_uuid(instance0_uuid)
 
-        node = compute_model.get_node_from_instance_id(instance0_uuid)
+        node = compute_model.get_node_by_instance_uuid(instance0_uuid)
         self.assertEqual('Node_0', node.uuid)
 
         message = self.load_message(
@@ -415,7 +544,7 @@ class TestLegacyNovaNotifications(NotificationTestCase):
             payload=message['payload'],
             metadata=self.FAKE_METADATA,
         )
-        node = compute_model.get_node_from_instance_id(instance0_uuid)
+        node = compute_model.get_node_by_instance_uuid(instance0_uuid)
         self.assertEqual('Node_1', node.uuid)
         self.assertEqual(element.InstanceState.ACTIVE.value, instance0.state)
 
@@ -427,7 +556,7 @@ class TestLegacyNovaNotifications(NotificationTestCase):
         instance0_uuid = '73b09e16-35b7-4922-804e-e8f5d9b740fc'
 
         # Before
-        self.assertTrue(compute_model.get_instance_from_id(instance0_uuid))
+        self.assertTrue(compute_model.get_instance_by_uuid(instance0_uuid))
         for resource in compute_model.resource.values():
             self.assertIn(instance0_uuid, resource.mapping)
 
@@ -444,7 +573,7 @@ class TestLegacyNovaNotifications(NotificationTestCase):
         # After
         self.assertRaises(
             exception.InstanceNotFound,
-            compute_model.get_instance_from_id, instance0_uuid)
+            compute_model.get_instance_by_uuid, instance0_uuid)
 
         for resource in compute_model.resource.values():
             self.assertNotIn(instance0_uuid, resource.mapping)

watcher/tests/decision_engine/model/test_mapping.py

@@ -20,8 +20,7 @@ import uuid
 
 from watcher.decision_engine.model import element
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies import \
-    faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class TestMapping(base.TestCase):
@@ -44,10 +43,10 @@ class TestMapping(base.TestCase):
         node = model.mapping.get_node_from_instance(instance)
         self.assertEqual('Node_0', node.uuid)
 
-    def test_get_node_from_instance_id(self):
+    def test_get_node_by_instance_uuid(self):
         model = self.fake_cluster.generate_scenario_3_with_2_nodes()
 
-        nodes = model.mapping.get_node_instances_from_id("BLABLABLA")
+        nodes = model.mapping.get_node_instances_by_uuid("BLABLABLA")
         self.assertEqual(0, len(nodes))
 
     def test_get_all_instances(self):
@@ -74,9 +73,9 @@ class TestMapping(base.TestCase):
         instances = model.get_all_instances()
         keys = list(instances.keys())
         instance0 = instances[keys[0]]
-        node0 = model.mapping.get_node_from_instance_id(instance0.uuid)
+        node0 = model.mapping.get_node_by_instance_uuid(instance0.uuid)
         instance1 = instances[keys[1]]
-        node1 = model.mapping.get_node_from_instance_id(instance1.uuid)
+        node1 = model.mapping.get_node_by_instance_uuid(instance1.uuid)
 
         self.assertEqual(
             False,
@@ -91,26 +90,24 @@ class TestMapping(base.TestCase):
             True,
             model.migrate_instance(instance1, node0, node1))
 
-    def test_unmap_from_id_log_warning(self):
+    def test_unmap_by_uuid_log_warning(self):
         model = self.fake_cluster.generate_scenario_3_with_2_nodes()
         instances = model.get_all_instances()
         keys = list(instances.keys())
         instance0 = instances[keys[0]]
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuid.uuid4())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
 
-        model.mapping.unmap_from_id(node.uuid, instance0.uuid)
-        # self.assertEqual(len(model.mapping.get_node_instances_from_id(
-        # node.uuid)), 1)
+        model.mapping.unmap_by_uuid(node.uuid, instance0.uuid)
 
-    def test_unmap_from_id(self):
+    def test_unmap_by_uuid(self):
         model = self.fake_cluster.generate_scenario_3_with_2_nodes()
         instances = model.get_all_instances()
         keys = list(instances.keys())
         instance0 = instances[keys[0]]
-        node0 = model.mapping.get_node_from_instance_id(instance0.uuid)
+        node0 = model.mapping.get_node_by_instance_uuid(instance0.uuid)
 
-        model.mapping.unmap_from_id(node0.uuid, instance0.uuid)
-        self.assertEqual(0, len(model.mapping.get_node_instances_from_id(
+        model.mapping.unmap_by_uuid(node0.uuid, instance0.uuid)
+        self.assertEqual(0, len(model.mapping.get_node_instances_by_uuid(
             node0.uuid)))

watcher/tests/decision_engine/model/test_model.py

@@ -15,109 +15,149 @@
 # implied.
 # See the License for the specific language governing permissions and
 # limitations under the License.
-#
-import uuid
+
+import os
+
+from lxml import etree
+from oslo_utils import uuidutils
+import six
 
 from watcher.common import exception
 from watcher.decision_engine.model import element
 from watcher.decision_engine.model import model_root
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class TestModel(base.TestCase):
-    def test_model(self):
+
+    def load_data(self, filename):
+        cwd = os.path.abspath(os.path.dirname(__file__))
+        data_folder = os.path.join(cwd, "data")
+
+        with open(os.path.join(data_folder, filename), 'rb') as xml_file:
+            xml_data = xml_file.read()
+
+        return xml_data
+
+    def load_model(self, filename):
+        return model_root.ModelRoot.from_xml(self.load_data(filename))
+
+    def test_model_structure(self):
         fake_cluster = faker_cluster_state.FakerModelCollector()
-        model = fake_cluster.generate_scenario_1()
+        model = fake_cluster.build_scenario_1()
 
         self.assertEqual(5, len(model._nodes))
         self.assertEqual(35, len(model._instances))
         self.assertEqual(5, len(model.mapping.get_mapping()))
 
+        expected_struct_str = self.load_data('scenario_1.xml')
+        parser = etree.XMLParser(remove_blank_text=True)
+        expected_struct = etree.fromstring(expected_struct_str, parser)
+        model_structure = etree.fromstring(model.to_string(), parser)
+
+        normalized_expected_output = six.BytesIO()
+        normalized_model_output = six.BytesIO()
+        expected_struct.getroottree().write_c14n(normalized_expected_output)
+        model_structure.getroottree().write_c14n(normalized_model_output)
+
+        normalized_expected_struct = normalized_expected_output.getvalue()
+        normalized_model_struct = normalized_model_output.getvalue()
+
+        self.assertEqual(normalized_expected_struct, normalized_model_struct)
+
+    def test_build_model_from_xml(self):
+        fake_cluster = faker_cluster_state.FakerModelCollector()
+
+        expected_model = fake_cluster.generate_scenario_1()
+        struct_str = self.load_data('scenario_1.xml')
+
+        model = model_root.ModelRoot.from_xml(struct_str)
+        self.assertEqual(expected_model.to_string(), model.to_string())
+
     def test_add_node(self):
         model = model_root.ModelRoot()
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuidutils.generate_uuid())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
         model.add_node(node)
-        self.assertEqual(node, model.get_node_from_id(id_))
+        self.assertEqual(node, model.get_node_by_uuid(uuid_))
 
     def test_delete_node(self):
         model = model_root.ModelRoot()
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuidutils.generate_uuid())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
         model.add_node(node)
-        self.assertEqual(node, model.get_node_from_id(id_))
+        self.assertEqual(node, model.get_node_by_uuid(uuid_))
         model.remove_node(node)
         self.assertRaises(exception.ComputeNodeNotFound,
-                          model.get_node_from_id, id_)
+                          model.get_node_by_uuid, uuid_)
 
     def test_get_all_compute_nodes(self):
         model = model_root.ModelRoot()
-        for _ in range(10):
-            id_ = "{0}".format(uuid.uuid4())
-            node = element.ComputeNode()
-            node.uuid = id_
+        for id_ in range(10):
+            uuid_ = "{0}".format(uuidutils.generate_uuid())
+            node = element.ComputeNode(id_)
+            node.uuid = uuid_
             model.add_node(node)
         all_nodes = model.get_all_compute_nodes()
-        for id_ in all_nodes:
-            node = model.get_node_from_id(id_)
+        for uuid_ in all_nodes:
+            node = model.get_node_by_uuid(uuid_)
             model.assert_node(node)
 
     def test_set_get_state_nodes(self):
         model = model_root.ModelRoot()
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuidutils.generate_uuid())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
         model.add_node(node)
 
         self.assertIn(node.state, [el.value for el in element.ServiceState])
 
-        node = model.get_node_from_id(id_)
+        node = model.get_node_by_uuid(uuid_)
         node.state = element.ServiceState.OFFLINE.value
         self.assertIn(node.state, [el.value for el in element.ServiceState])
 
-    def test_node_from_id_raise(self):
+    def test_node_from_uuid_raise(self):
         model = model_root.ModelRoot()
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuidutils.generate_uuid())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
         model.add_node(node)
 
-        id2 = "{0}".format(uuid.uuid4())
+        uuid2 = "{0}".format(uuidutils.generate_uuid())
         self.assertRaises(exception.ComputeNodeNotFound,
-                          model.get_node_from_id, id2)
+                          model.get_node_by_uuid, uuid2)
 
     def test_remove_node_raise(self):
         model = model_root.ModelRoot()
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuidutils.generate_uuid())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
         model.add_node(node)
 
-        id2 = "{0}".format(uuid.uuid4())
-        node2 = element.ComputeNode()
-        node2.uuid = id2
+        uuid2 = "{0}".format(uuidutils.generate_uuid())
+        node2 = element.ComputeNode(id=2)
+        node2.uuid = uuid2
 
         self.assertRaises(exception.ComputeNodeNotFound,
                           model.remove_node, node2)
 
     def test_assert_node_raise(self):
         model = model_root.ModelRoot()
-        id_ = "{0}".format(uuid.uuid4())
-        node = element.ComputeNode()
-        node.uuid = id_
+        uuid_ = "{0}".format(uuidutils.generate_uuid())
+        node = element.ComputeNode(id=1)
+        node.uuid = uuid_
         model.add_node(node)
         self.assertRaises(exception.IllegalArgumentException,
                           model.assert_node, "objet_qcq")
 
-    def test_instance_from_id_raise(self):
+    def test_instance_from_uuid_raise(self):
         fake_cluster = faker_cluster_state.FakerModelCollector()
         model = fake_cluster.generate_scenario_1()
         self.assertRaises(exception.InstanceNotFound,
-                          model.get_instance_from_id, "valeur_qcq")
+                          model.get_instance_by_uuid, "valeur_qcq")
 
     def test_assert_instance_raise(self):
         model = model_root.ModelRoot()

watcher/tests/decision_engine/planner/test_default_planner.py

@@ -24,10 +24,8 @@ from watcher.decision_engine.strategy import strategies
 from watcher import objects
 from watcher.tests.db import base
 from watcher.tests.db import utils as db_utils
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_metrics_collector as fake
+from watcher.tests.decision_engine.model import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_metrics_collector as fake
 from watcher.tests.objects import utils as obj_utils
 
 

watcher/tests/decision_engine/scoring/test_dummy_scorer.py

@@ -30,12 +30,12 @@ class TestDummyScorer(base.TestCase):
     def test_metadata(self):
         scorer = dummy_scorer.DummyScorer(config=None)
         self.assertEqual('dummy_scorer', scorer.get_name())
-        self.assertTrue('Dummy' in scorer.get_description())
+        self.assertIn('Dummy', scorer.get_description())
 
         metainfo = scorer.get_metainfo()
-        self.assertTrue('feature_columns' in metainfo)
-        self.assertTrue('result_columns' in metainfo)
-        self.assertTrue('workloads' in metainfo)
+        self.assertIn('feature_columns', metainfo)
+        self.assertIn('result_columns', metainfo)
+        self.assertIn('workloads', metainfo)
 
     def test_calculate_score(self):
         scorer = dummy_scorer.DummyScorer(config=None)

watcher/tests/decision_engine/strategy/strategies/faker_cluster_and_metrics.py

@@ -1,270 +0,0 @@
-# -*- encoding: utf-8 -*-
-#
-# Authors: Vojtech CIMA <cima@zhaw.ch>
-#          Bruno GRAZIOLI <gaea@zhaw.ch>
-#          Sean MURPHY <murp@zhaw.ch>
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
-# implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import mock
-
-from watcher.decision_engine.model.collector import base
-from watcher.decision_engine.model import element
-from watcher.decision_engine.model import model_root as modelroot
-
-
-class FakerModelCollector(base.BaseClusterDataModelCollector):
-
-    def __init__(self, config=None, osc=None):
-        if config is None:
-            config = mock.Mock()
-        super(FakerModelCollector, self).__init__(config)
-
-    @property
-    def notification_endpoints(self):
-        return []
-
-    def execute(self):
-        return self.generate_scenario_1()
-
-    def generate_scenario_1(self):
-        """Simulates cluster with 2 nodes and 2 instances using 1:1 mapping"""
-
-        current_state_cluster = modelroot.ModelRoot()
-        count_node = 2
-        count_instance = 2
-
-        mem = element.Resource(element.ResourceType.memory)
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-        disk_capacity =\
-            element.Resource(element.ResourceType.disk_capacity)
-
-        current_state_cluster.create_resource(mem)
-        current_state_cluster.create_resource(num_cores)
-        current_state_cluster.create_resource(disk)
-        current_state_cluster.create_resource(disk_capacity)
-
-        for i in range(0, count_node):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-            node.state = 'enabled'
-
-            mem.set_capacity(node, 64)
-            disk_capacity.set_capacity(node, 250)
-            num_cores.set_capacity(node, 40)
-            current_state_cluster.add_node(node)
-
-        for i in range(0, count_instance):
-            instance_uuid = "INSTANCE_{0}".format(i)
-            instance = element.Instance()
-            instance.uuid = instance_uuid
-            instance.state = element.InstanceState.ACTIVE.value
-            mem.set_capacity(instance, 2)
-            disk.set_capacity(instance, 20)
-            num_cores.set_capacity(instance, 10)
-            current_state_cluster.add_instance(instance)
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_0"),
-            current_state_cluster.get_instance_from_id("INSTANCE_0"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_1"),
-            current_state_cluster.get_instance_from_id("INSTANCE_1"))
-
-        return current_state_cluster
-
-    def generate_scenario_2(self):
-        """Simulates a cluster
-
-        With 4 nodes and 6 instances all mapped to a single node
-        """
-
-        current_state_cluster = modelroot.ModelRoot()
-        count_node = 4
-        count_instance = 6
-
-        mem = element.Resource(element.ResourceType.memory)
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-        disk_capacity =\
-            element.Resource(element.ResourceType.disk_capacity)
-
-        current_state_cluster.create_resource(mem)
-        current_state_cluster.create_resource(num_cores)
-        current_state_cluster.create_resource(disk)
-        current_state_cluster.create_resource(disk_capacity)
-
-        for i in range(0, count_node):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-            node.state = 'up'
-
-            mem.set_capacity(node, 64)
-            disk_capacity.set_capacity(node, 250)
-            num_cores.set_capacity(node, 16)
-            current_state_cluster.add_node(node)
-
-        for i in range(0, count_instance):
-            instance_uuid = "INSTANCE_{0}".format(i)
-            instance = element.Instance()
-            instance.uuid = instance_uuid
-            instance.state = element.InstanceState.ACTIVE.value
-            mem.set_capacity(instance, 2)
-            disk.set_capacity(instance, 20)
-            num_cores.set_capacity(instance, 10)
-            current_state_cluster.add_instance(instance)
-
-            current_state_cluster.get_mapping().map(
-                current_state_cluster.get_node_from_id("Node_0"),
-                current_state_cluster.get_instance_from_id("INSTANCE_%s" % i))
-
-        return current_state_cluster
-
-    def generate_scenario_3(self):
-        """Simulates a cluster
-
-        With 4 nodes and 6 instances all mapped to one node
-        """
-
-        current_state_cluster = modelroot.ModelRoot()
-        count_node = 2
-        count_instance = 4
-
-        mem = element.Resource(element.ResourceType.memory)
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-        disk_capacity =\
-            element.Resource(element.ResourceType.disk_capacity)
-
-        current_state_cluster.create_resource(mem)
-        current_state_cluster.create_resource(num_cores)
-        current_state_cluster.create_resource(disk)
-        current_state_cluster.create_resource(disk_capacity)
-
-        for i in range(0, count_node):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-            node.state = 'up'
-
-            mem.set_capacity(node, 64)
-            disk_capacity.set_capacity(node, 250)
-            num_cores.set_capacity(node, 10)
-            current_state_cluster.add_node(node)
-
-        for i in range(6, 6 + count_instance):
-            instance_uuid = "INSTANCE_{0}".format(i)
-            instance = element.Instance()
-            instance.uuid = instance_uuid
-            instance.state = element.InstanceState.ACTIVE.value
-            mem.set_capacity(instance, 2)
-            disk.set_capacity(instance, 20)
-            num_cores.set_capacity(instance, 2 ** (i-6))
-            current_state_cluster.add_instance(instance)
-
-            current_state_cluster.get_mapping().map(
-                current_state_cluster.get_node_from_id("Node_0"),
-                current_state_cluster.get_instance_from_id("INSTANCE_%s" % i))
-
-        return current_state_cluster
-
-
-class FakeCeilometerMetrics(object):
-    def __init__(self, model):
-        self.model = model
-
-    def mock_get_statistics(self, resource_id, meter_name, period=3600,
-                            aggregate='avg'):
-        if meter_name == "compute.node.cpu.percent":
-            return self.get_node_cpu_util(resource_id)
-        elif meter_name == "cpu_util":
-            return self.get_instance_cpu_util(resource_id)
-        elif meter_name == "memory.usage":
-            return self.get_instance_ram_util(resource_id)
-        elif meter_name == "disk.root.size":
-            return self.get_instance_disk_root_size(resource_id)
-
-    def get_node_cpu_util(self, r_id):
-        """Calculates node utilization dynamicaly.
-
-        node CPU utilization should consider
-        and corelate with actual instance-node mappings
-        provided within a cluster model.
-        Returns relative node CPU utilization <0, 100>.
-        :param r_id: resource id
-        """
-
-        id = '%s_%s' % (r_id.split('_')[0], r_id.split('_')[1])
-        instances = self.model.get_mapping().get_node_instances_from_id(id)
-        util_sum = 0.0
-        node_cpu_cores = self.model.get_resource_from_id(
-            element.ResourceType.cpu_cores).get_capacity_from_id(id)
-        for instance_uuid in instances:
-            instance_cpu_cores = self.model.get_resource_from_id(
-                element.ResourceType.cpu_cores).\
-                get_capacity(self.model.get_instance_from_id(instance_uuid))
-            total_cpu_util = instance_cpu_cores * self.get_instance_cpu_util(
-                instance_uuid)
-            util_sum += total_cpu_util / 100.0
-        util_sum /= node_cpu_cores
-        return util_sum * 100.0
-
-    def get_instance_cpu_util(self, r_id):
-        instance_cpu_util = dict()
-        instance_cpu_util['INSTANCE_0'] = 10
-        instance_cpu_util['INSTANCE_1'] = 30
-        instance_cpu_util['INSTANCE_2'] = 60
-        instance_cpu_util['INSTANCE_3'] = 20
-        instance_cpu_util['INSTANCE_4'] = 40
-        instance_cpu_util['INSTANCE_5'] = 50
-        instance_cpu_util['INSTANCE_6'] = 100
-        instance_cpu_util['INSTANCE_7'] = 100
-        instance_cpu_util['INSTANCE_8'] = 100
-        instance_cpu_util['INSTANCE_9'] = 100
-        return instance_cpu_util[str(r_id)]
-
-    def get_instance_ram_util(self, r_id):
-        instance_ram_util = dict()
-        instance_ram_util['INSTANCE_0'] = 1
-        instance_ram_util['INSTANCE_1'] = 2
-        instance_ram_util['INSTANCE_2'] = 4
-        instance_ram_util['INSTANCE_3'] = 8
-        instance_ram_util['INSTANCE_4'] = 3
-        instance_ram_util['INSTANCE_5'] = 2
-        instance_ram_util['INSTANCE_6'] = 1
-        instance_ram_util['INSTANCE_7'] = 2
-        instance_ram_util['INSTANCE_8'] = 4
-        instance_ram_util['INSTANCE_9'] = 8
-        return instance_ram_util[str(r_id)]
-
-    def get_instance_disk_root_size(self, r_id):
-        instance_disk_util = dict()
-        instance_disk_util['INSTANCE_0'] = 10
-        instance_disk_util['INSTANCE_1'] = 15
-        instance_disk_util['INSTANCE_2'] = 30
-        instance_disk_util['INSTANCE_3'] = 35
-        instance_disk_util['INSTANCE_4'] = 20
-        instance_disk_util['INSTANCE_5'] = 25
-        instance_disk_util['INSTANCE_6'] = 25
-        instance_disk_util['INSTANCE_7'] = 25
-        instance_disk_util['INSTANCE_8'] = 25
-        instance_disk_util['INSTANCE_9'] = 25
-        return instance_disk_util[str(r_id)]

watcher/tests/decision_engine/strategy/strategies/faker_cluster_state.py

@@ -1,384 +0,0 @@
-# -*- encoding: utf-8 -*-
-# Copyright (c) 2015 b<>com
-#
-# Authors: Jean-Emile DARTOIS <jean-emile.dartois@b-com.com>
-#
-# Licensed under the Apache License, Version 2.0 (the "License");
-# you may not use this file except in compliance with the License.
-# You may obtain a copy of the License at
-#
-# http://www.apache.org/licenses/LICENSE-2.0
-#
-# Unless required by applicable law or agreed to in writing, software
-# distributed under the License is distributed on an "AS IS" BASIS,
-# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
-# implied.
-# See the License for the specific language governing permissions and
-# limitations under the License.
-
-import mock
-
-from watcher.decision_engine.model.collector import base
-from watcher.decision_engine.model import element
-from watcher.decision_engine.model import model_root as modelroot
-
-
-class FakerModelCollector(base.BaseClusterDataModelCollector):
-
-    def __init__(self, config=None, osc=None):
-        if config is None:
-            config = mock.Mock(period=777)
-        super(FakerModelCollector, self).__init__(config)
-
-    @property
-    def notification_endpoints(self):
-        return []
-
-    def execute(self):
-        return self._cluster_data_model or self.generate_scenario_1()
-
-    def generate_scenario_1(self):
-        instances = []
-
-        current_state_cluster = modelroot.ModelRoot()
-        # number of nodes
-        node_count = 5
-        # number max of instance per node
-        node_instance_count = 7
-        # total number of virtual machine
-        instance_count = (node_count * node_instance_count)
-
-        # define ressouce ( CPU, MEM disk, ... )
-        mem = element.Resource(element.ResourceType.memory)
-        # 2199.954 Mhz
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-
-        current_state_cluster.create_resource(mem)
-        current_state_cluster.create_resource(num_cores)
-        current_state_cluster.create_resource(disk)
-
-        for i in range(0, node_count):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-
-            mem.set_capacity(node, 132)
-            disk.set_capacity(node, 250)
-            num_cores.set_capacity(node, 40)
-            current_state_cluster.add_node(node)
-
-        for i in range(0, instance_count):
-            instance_uuid = "INSTANCE_{0}".format(i)
-            instance = element.Instance()
-            instance.uuid = instance_uuid
-            mem.set_capacity(instance, 2)
-            disk.set_capacity(instance, 20)
-            num_cores.set_capacity(instance, 10)
-            instances.append(instance)
-            current_state_cluster.add_instance(instance)
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_0"),
-            current_state_cluster.get_instance_from_id("INSTANCE_0"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_0"),
-            current_state_cluster.get_instance_from_id("INSTANCE_1"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_1"),
-            current_state_cluster.get_instance_from_id("INSTANCE_2"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_2"),
-            current_state_cluster.get_instance_from_id("INSTANCE_3"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_2"),
-            current_state_cluster.get_instance_from_id("INSTANCE_4"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_2"),
-            current_state_cluster.get_instance_from_id("INSTANCE_5"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_3"),
-            current_state_cluster.get_instance_from_id("INSTANCE_6"))
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_4"),
-            current_state_cluster.get_instance_from_id("INSTANCE_7"))
-
-        return current_state_cluster
-
-    def map(self, model, h_id, instance_id):
-        model.get_mapping().map(
-            model.get_node_from_id(h_id),
-            model.get_instance_from_id(instance_id))
-
-    def generate_scenario_3_with_2_nodes(self):
-        instances = []
-
-        root = modelroot.ModelRoot()
-        # number of nodes
-        node_count = 2
-
-        # define ressouce ( CPU, MEM disk, ... )
-        mem = element.Resource(element.ResourceType.memory)
-        # 2199.954 Mhz
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-
-        root.create_resource(mem)
-        root.create_resource(num_cores)
-        root.create_resource(disk)
-
-        for i in range(0, node_count):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-
-            mem.set_capacity(node, 132)
-            disk.set_capacity(node, 250)
-            num_cores.set_capacity(node, 40)
-            root.add_node(node)
-
-        instance1 = element.Instance()
-        instance1.uuid = "73b09e16-35b7-4922-804e-e8f5d9b740fc"
-        mem.set_capacity(instance1, 2)
-        disk.set_capacity(instance1, 20)
-        num_cores.set_capacity(instance1, 10)
-        instances.append(instance1)
-        root.add_instance(instance1)
-
-        instance2 = element.Instance()
-        instance2.uuid = "a4cab39b-9828-413a-bf88-f76921bf1517"
-        mem.set_capacity(instance2, 2)
-        disk.set_capacity(instance2, 20)
-        num_cores.set_capacity(instance2, 10)
-        instances.append(instance2)
-        root.add_instance(instance2)
-
-        root.get_mapping().map(root.get_node_from_id("Node_0"),
-                               root.get_instance_from_id(str(instance1.uuid)))
-
-        root.get_mapping().map(root.get_node_from_id("Node_1"),
-                               root.get_instance_from_id(str(instance2.uuid)))
-
-        return root
-
-    def generate_scenario_4_with_1_node_no_instance(self):
-        current_state_cluster = modelroot.ModelRoot()
-        # number of nodes
-        node_count = 1
-
-        # define ressouce ( CPU, MEM disk, ... )
-        mem = element.Resource(element.ResourceType.memory)
-        # 2199.954 Mhz
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-
-        current_state_cluster.create_resource(mem)
-        current_state_cluster.create_resource(num_cores)
-        current_state_cluster.create_resource(disk)
-
-        for i in range(0, node_count):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-
-            mem.set_capacity(node, 1)
-            disk.set_capacity(node, 1)
-            num_cores.set_capacity(node, 1)
-            current_state_cluster.add_node(node)
-
-        return current_state_cluster
-
-    def generate_scenario_5_with_instance_disk_0(self):
-        instances = []
-        current_state_cluster = modelroot.ModelRoot()
-        # number of nodes
-        node_count = 1
-        # number of instances
-        instance_count = 1
-
-        # define ressouce ( CPU, MEM disk, ... )
-        mem = element.Resource(element.ResourceType.memory)
-        # 2199.954 Mhz
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-
-        current_state_cluster.create_resource(mem)
-        current_state_cluster.create_resource(num_cores)
-        current_state_cluster.create_resource(disk)
-
-        for i in range(0, node_count):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-
-            mem.set_capacity(node, 4)
-            disk.set_capacity(node, 4)
-            num_cores.set_capacity(node, 4)
-            current_state_cluster.add_node(node)
-
-        for i in range(0, instance_count):
-            instance_uuid = "INSTANCE_{0}".format(i)
-            instance = element.Instance()
-            instance.uuid = instance_uuid
-            mem.set_capacity(instance, 2)
-            disk.set_capacity(instance, 0)
-            num_cores.set_capacity(instance, 4)
-            instances.append(instance)
-            current_state_cluster.add_instance(instance)
-
-        current_state_cluster.get_mapping().map(
-            current_state_cluster.get_node_from_id("Node_0"),
-            current_state_cluster.get_instance_from_id("INSTANCE_0"))
-
-        return current_state_cluster
-
-    def generate_scenario_6_with_2_nodes(self):
-        instances = []
-        root = modelroot.ModelRoot()
-        # number of nodes
-        node_count = 2
-
-        # define ressouce ( CPU, MEM disk, ... )
-        mem = element.Resource(element.ResourceType.memory)
-        # 2199.954 Mhz
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-
-        root.create_resource(mem)
-        root.create_resource(num_cores)
-        root.create_resource(disk)
-
-        for i in range(0, node_count):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-
-            mem.set_capacity(node, 132)
-            disk.set_capacity(node, 250)
-            num_cores.set_capacity(node, 40)
-            root.add_node(node)
-
-        instance1 = element.Instance()
-        instance1.uuid = "INSTANCE_1"
-        mem.set_capacity(instance1, 2)
-        disk.set_capacity(instance1, 20)
-        num_cores.set_capacity(instance1, 10)
-        instances.append(instance1)
-        root.add_instance(instance1)
-
-        instance11 = element.Instance()
-        instance11.uuid = "73b09e16-35b7-4922-804e-e8f5d9b740fc"
-        mem.set_capacity(instance11, 2)
-        disk.set_capacity(instance11, 20)
-        num_cores.set_capacity(instance11, 10)
-        instances.append(instance11)
-        root.add_instance(instance11)
-
-        instance2 = element.Instance()
-        instance2.uuid = "INSTANCE_3"
-        mem.set_capacity(instance2, 2)
-        disk.set_capacity(instance2, 20)
-        num_cores.set_capacity(instance2, 10)
-        instances.append(instance2)
-        root.add_instance(instance2)
-
-        instance21 = element.Instance()
-        instance21.uuid = "INSTANCE_4"
-        mem.set_capacity(instance21, 2)
-        disk.set_capacity(instance21, 20)
-        num_cores.set_capacity(instance21, 10)
-        instances.append(instance21)
-        root.add_instance(instance21)
-
-        root.get_mapping().map(root.get_node_from_id("Node_0"),
-                               root.get_instance_from_id(str(instance1.uuid)))
-        root.get_mapping().map(root.get_node_from_id("Node_0"),
-                               root.get_instance_from_id(str(instance11.uuid)))
-
-        root.get_mapping().map(root.get_node_from_id("Node_1"),
-                               root.get_instance_from_id(str(instance2.uuid)))
-        root.get_mapping().map(root.get_node_from_id("Node_1"),
-                               root.get_instance_from_id(str(instance21.uuid)))
-        return root
-
-    def generate_scenario_7_with_2_nodes(self):
-        instances = []
-        root = modelroot.ModelRoot()
-        # number of nodes
-        count_node = 2
-
-        # define ressouce ( CPU, MEM disk, ... )
-        mem = element.Resource(element.ResourceType.memory)
-        # 2199.954 Mhz
-        num_cores = element.Resource(element.ResourceType.cpu_cores)
-        disk = element.Resource(element.ResourceType.disk)
-
-        root.create_resource(mem)
-        root.create_resource(num_cores)
-        root.create_resource(disk)
-
-        for i in range(0, count_node):
-            node_uuid = "Node_{0}".format(i)
-            node = element.ComputeNode()
-            node.uuid = node_uuid
-            node.hostname = "hostname_{0}".format(i)
-
-            mem.set_capacity(node, 132)
-            disk.set_capacity(node, 250)
-            num_cores.set_capacity(node, 50)
-            root.add_node(node)
-
-        instance1 = element.Instance()
-        instance1.uuid = "cae81432-1631-4d4e-b29c-6f3acdcde906"
-        mem.set_capacity(instance1, 2)
-        disk.set_capacity(instance1, 20)
-        num_cores.set_capacity(instance1, 15)
-        instances.append(instance1)
-        root.add_instance(instance1)
-
-        instance11 = element.Instance()
-        instance11.uuid = "73b09e16-35b7-4922-804e-e8f5d9b740fc"
-        mem.set_capacity(instance11, 2)
-        disk.set_capacity(instance11, 20)
-        num_cores.set_capacity(instance11, 10)
-        instances.append(instance11)
-        root.add_instance(instance11)
-
-        instance2 = element.Instance()
-        instance2.uuid = "INSTANCE_3"
-        mem.set_capacity(instance2, 2)
-        disk.set_capacity(instance2, 20)
-        num_cores.set_capacity(instance2, 10)
-        instances.append(instance2)
-        root.add_instance(instance2)
-
-        instance21 = element.Instance()
-        instance21.uuid = "INSTANCE_4"
-        mem.set_capacity(instance21, 2)
-        disk.set_capacity(instance21, 20)
-        num_cores.set_capacity(instance21, 10)
-        instances.append(instance21)
-        root.add_instance(instance21)
-
-        root.get_mapping().map(root.get_node_from_id("Node_0"),
-                               root.get_instance_from_id(str(instance1.uuid)))
-        root.get_mapping().map(root.get_node_from_id("Node_0"),
-                               root.get_instance_from_id(str(instance11.uuid)))
-
-        root.get_mapping().map(root.get_node_from_id("Node_1"),
-                               root.get_instance_from_id(str(instance2.uuid)))
-        root.get_mapping().map(root.get_node_from_id("Node_1"),
-                               root.get_instance_from_id(str(instance21.uuid)))
-        return root

watcher/tests/decision_engine/strategy/strategies/test_basic_consolidation.py

@@ -20,14 +20,14 @@ import collections
 import mock
 
 from watcher.applier.loading import default
+from watcher.common import clients
 from watcher.common import exception
+from watcher.decision_engine.model.collector import nova
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_metrics_collector
+from watcher.tests.decision_engine.model import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_metrics_collector
 
 
 class TestBasicConsolidation(base.TestCase):
@@ -39,9 +39,13 @@ class TestBasicConsolidation(base.TestCase):
         # fake cluster
         self.fake_cluster = faker_cluster_state.FakerModelCollector()
 
+        p_osc = mock.patch.object(
+            clients, "OpenStackClients")
+        self.m_osc = p_osc.start()
+        self.addCleanup(p_osc.stop)
+
         p_model = mock.patch.object(
-            strategies.BasicConsolidation, "compute_model",
-            new_callable=mock.PropertyMock)
+            nova.NovaClusterDataModelCollector, "execute")
         self.m_model = p_model.start()
         self.addCleanup(p_model.stop)
 
@@ -67,39 +71,39 @@ class TestBasicConsolidation(base.TestCase):
         self.m_model.return_value = model
         node_1_score = 0.023333333333333317
         self.assertEqual(node_1_score, self.strategy.calculate_score_node(
-            model.get_node_from_id("Node_1")))
+            model.get_node_by_uuid("Node_1")))
         node_2_score = 0.26666666666666666
         self.assertEqual(node_2_score, self.strategy.calculate_score_node(
-            model.get_node_from_id("Node_2")))
+            model.get_node_by_uuid("Node_2")))
         node_0_score = 0.023333333333333317
         self.assertEqual(node_0_score, self.strategy.calculate_score_node(
-            model.get_node_from_id("Node_0")))
+            model.get_node_by_uuid("Node_0")))
 
     def test_basic_consolidation_score_instance(self):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
-        instance_0 = model.get_instance_from_id("INSTANCE_0")
+        instance_0 = model.get_instance_by_uuid("INSTANCE_0")
         instance_0_score = 0.023333333333333317
         self.assertEqual(
             instance_0_score,
             self.strategy.calculate_score_instance(instance_0))
 
-        instance_1 = model.get_instance_from_id("INSTANCE_1")
+        instance_1 = model.get_instance_by_uuid("INSTANCE_1")
         instance_1_score = 0.023333333333333317
         self.assertEqual(
             instance_1_score,
             self.strategy.calculate_score_instance(instance_1))
-        instance_2 = model.get_instance_from_id("INSTANCE_2")
+        instance_2 = model.get_instance_by_uuid("INSTANCE_2")
         instance_2_score = 0.033333333333333326
         self.assertEqual(
             instance_2_score,
             self.strategy.calculate_score_instance(instance_2))
-        instance_6 = model.get_instance_from_id("INSTANCE_6")
+        instance_6 = model.get_instance_by_uuid("INSTANCE_6")
         instance_6_score = 0.02666666666666669
         self.assertEqual(
             instance_6_score,
             self.strategy.calculate_score_instance(instance_6))
-        instance_7 = model.get_instance_from_id("INSTANCE_7")
+        instance_7 = model.get_instance_by_uuid("INSTANCE_7")
         instance_7_score = 0.013333333333333345
         self.assertEqual(
             instance_7_score,
@@ -108,7 +112,7 @@ class TestBasicConsolidation(base.TestCase):
     def test_basic_consolidation_score_instance_disk(self):
         model = self.fake_cluster.generate_scenario_5_with_instance_disk_0()
         self.m_model.return_value = model
-        instance_0 = model.get_instance_from_id("INSTANCE_0")
+        instance_0 = model.get_instance_by_uuid("INSTANCE_0")
         instance_0_score = 0.023333333333333355
         self.assertEqual(
             instance_0_score,
@@ -117,7 +121,7 @@ class TestBasicConsolidation(base.TestCase):
     def test_basic_consolidation_weight(self):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
-        instance_0 = model.get_instance_from_id("INSTANCE_0")
+        instance_0 = model.get_instance_by_uuid("INSTANCE_0")
         cores = 16
         # 80 Go
         disk = 80
@@ -162,6 +166,14 @@ class TestBasicConsolidation(base.TestCase):
         self.assertFalse(self.strategy.check_threshold(
             node0, 1000, 1000, 1000))
 
+    def test_basic_consolidation_works_on_model_copy(self):
+        model = self.fake_cluster.generate_scenario_3_with_2_nodes()
+        self.m_model.return_value = model
+
+        self.assertEqual(
+            model.to_string(), self.strategy.compute_model.to_string())
+        self.assertIsNot(model, self.strategy.compute_model)
+
     def test_basic_consolidation_migration(self):
         model = self.fake_cluster.generate_scenario_3_with_2_nodes()
         self.m_model.return_value = model
@@ -172,14 +184,37 @@ class TestBasicConsolidation(base.TestCase):
             [action.get('action_type') for action in solution.actions])
 
         expected_num_migrations = 1
-        expected_power_state = 0
+        expected_power_state = 1
 
         num_migrations = actions_counter.get("migrate", 0)
         num_node_state_change = actions_counter.get(
-            "change_node_state", 0)
+            "change_nova_service_state", 0)
         self.assertEqual(expected_num_migrations, num_migrations)
         self.assertEqual(expected_power_state, num_node_state_change)
 
+    def test_basic_consolidation_execute_scenario_8_with_4_nodes(self):
+        model = self.fake_cluster.generate_scenario_8_with_4_nodes()
+        self.m_model.return_value = model
+
+        solution = self.strategy.execute()
+
+        actions_counter = collections.Counter(
+            [action.get('action_type') for action in solution.actions])
+
+        expected_num_migrations = 5
+        expected_power_state = 3
+        expected_global_efficacy = 60
+
+        num_migrations = actions_counter.get("migrate", 0)
+        num_node_state_change = actions_counter.get(
+            "change_nova_service_state", 0)
+
+        global_efficacy_value = solution.global_efficacy.get("value", 0)
+
+        self.assertEqual(expected_num_migrations, num_migrations)
+        self.assertEqual(expected_power_state, num_node_state_change)
+        self.assertEqual(expected_global_efficacy, global_efficacy_value)
+
     def test_exception_stale_cdm(self):
         self.fake_cluster.set_cluster_data_model_as_stale()
         self.m_model.return_value = self.fake_cluster.cluster_data_model

watcher/tests/decision_engine/strategy/strategies/test_dummy_strategy.py

@@ -21,8 +21,7 @@ from watcher.common import utils
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies import \
-    faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class TestDummyStrategy(base.TestCase):

watcher/tests/decision_engine/strategy/strategies/test_dummy_with_scorer.py

@@ -21,8 +21,7 @@ from watcher.common import utils
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies import \
-    faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class TestDummyWithScorer(base.TestCase):

watcher/tests/decision_engine/strategy/strategies/test_outlet_temp_control.py

@@ -26,10 +26,8 @@ from watcher.decision_engine.model import element
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_metrics_collector
+from watcher.tests.decision_engine.model import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_metrics_collector
 
 
 class TestOutletTempControl(base.TestCase):
@@ -65,10 +63,10 @@ class TestOutletTempControl(base.TestCase):
     def test_calc_used_res(self):
         model = self.fake_cluster.generate_scenario_3_with_2_nodes()
         self.m_model.return_value = model
-        node = model.get_node_from_id('Node_0')
-        cap_cores = model.get_resource_from_id(element.ResourceType.cpu_cores)
-        cap_mem = model.get_resource_from_id(element.ResourceType.memory)
-        cap_disk = model.get_resource_from_id(element.ResourceType.disk)
+        node = model.get_node_by_uuid('Node_0')
+        cap_cores = model.get_resource_by_uuid(element.ResourceType.cpu_cores)
+        cap_mem = model.get_resource_by_uuid(element.ResourceType.memory)
+        cap_disk = model.get_resource_by_uuid(element.ResourceType.disk)
         cores_used, mem_used, disk_used = self.strategy.calc_used_res(
             node, cap_cores, cap_mem, cap_disk)
 

watcher/tests/decision_engine/strategy/strategies/test_uniform_airflow.py

@@ -26,10 +26,8 @@ from watcher.decision_engine.model import element
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_metrics_collector
+from watcher.tests.decision_engine.model import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_metrics_collector
 
 
 class TestUniformAirflow(base.TestCase):
@@ -70,10 +68,10 @@ class TestUniformAirflow(base.TestCase):
     def test_calc_used_res(self):
         model = self.fake_cluster.generate_scenario_7_with_2_nodes()
         self.m_model.return_value = model
-        node = model.get_node_from_id('Node_0')
-        cap_cores = model.get_resource_from_id(element.ResourceType.cpu_cores)
-        cap_mem = model.get_resource_from_id(element.ResourceType.memory)
-        cap_disk = model.get_resource_from_id(element.ResourceType.disk)
+        node = model.get_node_by_uuid('Node_0')
+        cap_cores = model.get_resource_by_uuid(element.ResourceType.cpu_cores)
+        cap_mem = model.get_resource_by_uuid(element.ResourceType.memory)
+        cap_disk = model.get_resource_by_uuid(element.ResourceType.disk)
         cores_used, mem_used, disk_used = self.\
             strategy.calculate_used_resource(
                 node, cap_cores, cap_mem, cap_disk)

watcher/tests/decision_engine/strategy/strategies/test_vm_workload_consolidation.py

@@ -24,8 +24,7 @@ from watcher.common import exception
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_and_metrics
+from watcher.tests.decision_engine.model import faker_cluster_and_metrics
 
 
 class TestVMWorkloadConsolidation(base.TestCase):
@@ -69,7 +68,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        instance_0 = model.get_instance_from_id("INSTANCE_0")
+        instance_0 = model.get_instance_by_uuid("INSTANCE_0")
         instance_util = dict(cpu=1.0, ram=1, disk=10)
         self.assertEqual(
             instance_util,
@@ -79,7 +78,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        node_0 = model.get_node_from_id("Node_0")
+        node_0 = model.get_node_by_uuid("Node_0")
         node_util = dict(cpu=1.0, ram=1, disk=10)
         self.assertEqual(
             node_util,
@@ -89,7 +88,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        node_0 = model.get_node_from_id("Node_0")
+        node_0 = model.get_node_by_uuid("Node_0")
         node_util = dict(cpu=40, ram=64, disk=250)
         self.assertEqual(node_util,
                          self.strategy.get_node_capacity(node_0, model))
@@ -98,7 +97,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        node = model.get_node_from_id('Node_0')
+        node = model.get_node_by_uuid('Node_0')
         rhu = self.strategy.get_relative_node_utilization(
             node, model)
         expected_rhu = {'disk': 0.04, 'ram': 0.015625, 'cpu': 0.025}
@@ -116,8 +115,8 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n1 = model.get_node_from_id('Node_0')
-        n2 = model.get_node_from_id('Node_1')
+        n1 = model.get_node_by_uuid('Node_0')
+        n2 = model.get_node_by_uuid('Node_1')
         instance_uuid = 'INSTANCE_0'
         self.strategy.add_migration(instance_uuid, n1, n2, model)
         self.assertEqual(1, len(self.strategy.solution.actions))
@@ -132,7 +131,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n1 = model.get_node_from_id('Node_0')
+        n1 = model.get_node_by_uuid('Node_0')
         cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
         res = self.strategy.is_overloaded(n1, model, cc)
         self.assertFalse(res)
@@ -149,7 +148,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n = model.get_node_from_id('Node_1')
+        n = model.get_node_by_uuid('Node_1')
         instance_uuid = 'INSTANCE_0'
         cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
         res = self.strategy.instance_fits(instance_uuid, n, model, cc)
@@ -163,7 +162,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n = model.get_node_from_id('Node_0')
+        n = model.get_node_by_uuid('Node_0')
         self.strategy.add_action_enable_compute_node(n)
         expected = [{'action_type': 'change_nova_service_state',
                      'input_parameters': {'state': 'enabled',
@@ -174,7 +173,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n = model.get_node_from_id('Node_0')
+        n = model.get_node_by_uuid('Node_0')
         self.strategy.add_action_disable_node(n)
         expected = [{'action_type': 'change_nova_service_state',
                      'input_parameters': {'state': 'disabled',
@@ -185,8 +184,8 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n1 = model.get_node_from_id('Node_0')
-        n2 = model.get_node_from_id('Node_1')
+        n1 = model.get_node_by_uuid('Node_0')
+        n2 = model.get_node_by_uuid('Node_1')
         instance_uuid = 'INSTANCE_0'
         self.strategy.disable_unused_nodes(model)
         self.assertEqual(0, len(self.strategy.solution.actions))
@@ -214,8 +213,8 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_1()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n1 = model.get_node_from_id('Node_0')
-        n2 = model.get_node_from_id('Node_1')
+        n1 = model.get_node_by_uuid('Node_0')
+        n2 = model.get_node_by_uuid('Node_1')
         instance_uuid = 'INSTANCE_0'
         cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
         self.strategy.consolidation_phase(model, cc)
@@ -230,7 +229,7 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_2()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n1 = model.get_node_from_id('Node_0')
+        n1 = model.get_node_by_uuid('Node_0')
         cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
         self.strategy.offload_phase(model, cc)
         self.strategy.consolidation_phase(model, cc)
@@ -254,8 +253,8 @@ class TestVMWorkloadConsolidation(base.TestCase):
         model = self.fake_cluster.generate_scenario_3()
         self.m_model.return_value = model
         self.fake_metrics.model = model
-        n1 = model.get_node_from_id('Node_0')
-        n2 = model.get_node_from_id('Node_1')
+        n1 = model.get_node_by_uuid('Node_0')
+        n2 = model.get_node_by_uuid('Node_1')
         cc = {'cpu': 1.0, 'ram': 1.0, 'disk': 1.0}
         self.strategy.offload_phase(model, cc)
         expected = [{'action_type': 'migrate',

watcher/tests/decision_engine/strategy/strategies/test_workload_balance.py

@@ -26,10 +26,8 @@ from watcher.decision_engine.model import element
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_metrics_collector
+from watcher.tests.decision_engine.model import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_metrics_collector
 
 
 class TestWorkloadBalance(base.TestCase):
@@ -66,10 +64,10 @@ class TestWorkloadBalance(base.TestCase):
     def test_calc_used_res(self):
         model = self.fake_cluster.generate_scenario_6_with_2_nodes()
         self.m_model.return_value = model
-        node = model.get_node_from_id('Node_0')
-        cap_cores = model.get_resource_from_id(element.ResourceType.cpu_cores)
-        cap_mem = model.get_resource_from_id(element.ResourceType.memory)
-        cap_disk = model.get_resource_from_id(element.ResourceType.disk)
+        node = model.get_node_by_uuid('Node_0')
+        cap_cores = model.get_resource_by_uuid(element.ResourceType.cpu_cores)
+        cap_mem = model.get_resource_by_uuid(element.ResourceType.memory)
+        cap_disk = model.get_resource_by_uuid(element.ResourceType.disk)
         cores_used, mem_used, disk_used = (
             self.strategy.calculate_used_resource(
                 node, cap_cores, cap_mem, cap_disk))

watcher/tests/decision_engine/strategy/strategies/test_workload_stabilization.py

@@ -19,13 +19,12 @@
 
 import mock
 
+from watcher.common import utils
 from watcher.decision_engine.model import model_root
 from watcher.decision_engine.strategy import strategies
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_cluster_state
-from watcher.tests.decision_engine.strategy.strategies \
-    import faker_metrics_collector
+from watcher.tests.decision_engine.model import faker_cluster_state
+from watcher.tests.decision_engine.model import faker_metrics_collector
 
 
 class TestWorkloadStabilization(base.TestCase):
@@ -62,6 +61,26 @@ class TestWorkloadStabilization(base.TestCase):
         self.m_ceilometer.return_value = mock.Mock(
             statistic_aggregation=self.fake_metrics.mock_get_statistics)
         self.strategy = strategies.WorkloadStabilization(config=mock.Mock())
+        self.strategy.input_parameters = utils.Struct()
+        self.strategy.input_parameters.update(
+            {'metrics': ["cpu_util", "memory.resident"],
+             'thresholds': {"cpu_util": 0.2, "memory.resident": 0.2},
+             'weights': {"cpu_util_weight": 1.0,
+                         "memory.resident_weight": 1.0},
+             'instance_metrics':
+                 {"cpu_util": "hardware.cpu.util",
+                  "memory.resident": "hardware.memory.used"},
+             'host_choice': 'retry',
+             'retry_count': 1})
+        self.strategy.metrics = ["cpu_util", "memory.resident"]
+        self.strategy.thresholds = {"cpu_util": 0.2, "memory.resident": 0.2}
+        self.strategy.weights = {"cpu_util_weight": 1.0,
+                                 "memory.resident_weight": 1.0}
+        self.strategy.instance_metrics = {"cpu_util": "hardware.cpu.util",
+                                          "memory.resident":
+                                              "hardware.memory.used"}
+        self.strategy.host_choice = 'retry'
+        self.strategy.retry_count = 1
 
     def test_get_instance_load(self):
         self.m_model.return_value = self.fake_cluster.generate_scenario_1()
@@ -138,7 +157,7 @@ class TestWorkloadStabilization(base.TestCase):
                  'host': 'Node_1'}]
         )
         with mock.patch.object(self.strategy, 'migrate') as mock_migration:
-            self.strategy.execute()
+            self.strategy.do_execute()
             mock_migration.assert_called_once_with(
                 'INSTANCE_4', 'Node_2', 'Node_1')
 
@@ -154,7 +173,7 @@ class TestWorkloadStabilization(base.TestCase):
                  'host': 'Node_3'}]
         )
         with mock.patch.object(self.strategy, 'migrate') as mock_migrate:
-            self.strategy.execute()
+            self.strategy.do_execute()
             self.assertEqual(mock_migrate.call_count, 1)
 
     def test_execute_nothing_to_migrate(self):

watcher/tests/decision_engine/test_scheduling.py

@@ -24,8 +24,7 @@ import mock
 from watcher.decision_engine.loading import default as default_loading
 from watcher.decision_engine import scheduling
 from watcher.tests import base
-from watcher.tests.decision_engine.strategy.strategies import \
-    faker_cluster_state
+from watcher.tests.decision_engine.model import faker_cluster_state
 
 
 class TestDecisionEngineSchedulingService(base.TestCase):

watcher_tempest_plugin/tests/scenario/test_execute_basic_optim.py

@@ -49,6 +49,8 @@ class TestExecuteBasicStrategy(base.BaseInfraOptimScenarioTest):
         enabled_compute_nodes = [cn for cn in cls.initial_compute_nodes_setup
                                  if cn.get('status') == 'enabled']
 
+        cls.wait_for_compute_node_setup()
+
         if len(enabled_compute_nodes) < 2:
             raise cls.skipException(
                 "Less than 2 compute nodes are enabled, "
@@ -62,6 +64,32 @@ class TestExecuteBasicStrategy(base.BaseInfraOptimScenarioTest):
         return [srv for srv in available_services
                 if srv.get('binary') == 'nova-compute']
 
+    @classmethod
+    def wait_for_compute_node_setup(cls):
+
+        def _are_compute_nodes_setup():
+            try:
+                hypervisors_client = cls.mgr.hypervisor_client
+                hypervisors = hypervisors_client.list_hypervisors(
+                    detail=True)['hypervisors']
+                available_hypervisors = set(
+                    hyp['hypervisor_hostname'] for hyp in hypervisors)
+                available_services = set(
+                    service['host']
+                    for service in cls.get_compute_nodes_setup())
+
+                return (
+                    available_hypervisors == available_services and
+                    len(hypervisors) >= 2)
+            except Exception:
+                return False
+
+        assert test.call_until_true(
+            func=_are_compute_nodes_setup,
+            duration=600,
+            sleep_for=2
+        )
+
     @classmethod
     def rollback_compute_nodes_status(cls):
         current_compute_nodes_setup = cls.get_compute_nodes_setup()
@@ -107,6 +135,7 @@ class TestExecuteBasicStrategy(base.BaseInfraOptimScenarioTest):
         """
         self.addCleanup(self.rollback_compute_nodes_status)
         self._create_one_instance_per_host()
+
         _, goal = self.client.show_goal(self.BASIC_GOAL)
         _, strategy = self.client.show_strategy("basic")
         _, audit_template = self.create_audit_template(