Vitrage Template Loading¶
Overview¶
Vitrage templates are defined in yaml with specific format. During startup,
templates are loaded into TemplateData
. After that , scenarios in loaded
templates will be added into scenario repository.
This document explains the implementation details of template data to help developer understand how scenario_evaluator works.
Note: This document refers to Vitrage templates version 3.
For previous versions, see:
Example¶
Let’s take a basic template as example
metadata:
version: 3
name: basic_template
description: basic template for general tests
entities:
alarm:
category: ALARM
type: nagios
name: HOST_HIGH_CPU_LOAD
host:
category: RESOURCE
type: nova.host
scenarios:
- condition: alarm [on] host
actions:
- set_state:
state: SUBOPTIMAL
target: host
TemplateData
will build entities
, relationships
and most importantly``scenarios``.
Note: In the third version of the template syntax, relationships
is no longer defined separately in advance, but
used directly defined in the condition in the scenarios
.
expected_entities = {
'alarm': Vertex(vertex_id='alarm',
properties={'vitrage_category': 'ALARM',
'vitrage_type': 'nagios',
'name': 'HOST_HIGH_CPU_LOAD',
}),
'resource': Vertex(vertex_id='resource',
properties={'vitrage_category': 'RESOURCE',
'vitrage_type': 'nova.host',
})
}
expected_relationships = {
'alarm__on__host': EdgeDescription(
edge=Edge(source_id='alarm',
target_id='resource',
label='on',
properties={'relationship_type': 'on'}),
source=expected_entities['alarm'],
target=expected_entities['resource']
)
}
expected_scenario = Scenario(
id='basic_template-scenario0',
condition=[
[ConditionVar(symbol_name='alarm_on_host',
positive=True)]],
actions=[
ActionSpecs(
type='set_state',
targets={'target': 'resource'},
properties={'state': 'SUBOPTIMAL'})],
subgraphs=template_data.scenarios[0].subgraphs, # ignore subgraphs
entities=expected_entities,
relationships=expected_relationships
)
Entities and relationships¶
Entities describes the resources and alarms which are defined by the entities part in the template.
Scenario contains condition and actions, relationships are represented inline in the condition, example usage condition: alarm [ on ] host.
Entities and relationships are loaded into dicts keyed by entity key
so
that the references in scenarios can be resolved quickly.
Note that entities and relationships dicts are NOT added to scenario repository. This implies the scope of `` entity key`` is restricted to one template file. It is NOT global.
It is considered invalid to have duplicated entity key
in one template, but
it is possible that two or more entities have exactly the same properties except
entity key
. There is an example in:
- instance1:
category: RESOURCE
type: nova.instance
- instance2:
category: RESOURCE
type: nova.instance
It is used to model scenario contains two or more entities of same type, such as high availability condition.
Scenarios¶
Scenario
class holds the following properties:
id
version
condition
actions
subgraphs
entities
relationships
enabled
id¶
Formatted from template name and scenario index
condition¶
Condition strings in template are expressions composed of entity key and operators. As explained in embedded comment:
The condition string will be converted here into DNF (Disjunctive Normal Form), e.g., (X and Y) or (X and Z) or (X and V and not W)… where X, Y, Z, V, W are either entities or relationships more details: https://en.wikipedia.org/wiki/Disjunctive_normal_form
The condition variable lists is then extracted from the DNF object. It is a list of lists. Each inner list represents an AND expression compound condition variables. The outer list presents the OR expression
[[and_var1, and_var2, …], or_list_2, …]
- param condition_str:
the string as it written in the template itself
- return:
condition_vars_lists
actions¶
actions
is a list of ActionSpecs
.
The action targets in the spec must be referenced in the condition definition.
They are either linked to vertex_id
of entity condition variables or
source_id
and target_id
in relationship condition variable extracted.
In each matched subgraph in the entity graph, the targets will be resolved as concrete vertices or edges.
subgraphs¶
Sub graphs are built from conditions for pattern matching in the entity graph. Each sub-list in condition variables list is compiled into one sub graph. The actions will be triggered if any of the subgraph is matched.
entities & relationships¶
Dicts of touched entities and relationships during subgraph building are saved in scenario.
This makes creation of the scenarios repository index on related entities and relationships easier and more efficient. You don’t need to traverse the condition object again, which is already done once during subgraphs building. It also eliminate the necessity of duplication check because there is no duplicate entities or relationships in these dicts compared to the condition variables lists.