Github user AviaE commented on a diff in the pull request:
https://github.com/apache/incubator-ariatosca/pull/189#discussion_r131089434
--- Diff: aria/orchestrator/topology/template_handler.py ---
@@ -0,0 +1,597 @@
+# Licensed to the Apache Software Foundation (ASF) under one or more
+# contributor license agreements. See the NOTICE file distributed with
+# this work for additional information regarding copyright ownership.
+# The ASF licenses this file to You 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 datetime import datetime
+
+from ...utils import formatting
+from ...modeling import utils as modeling_utils
+from . import utils, common
+
+
+class ServiceTemplate(common._TemplateHandlerMixin):
+ def dump(self, out_stream):
+ if self._model.description is not None:
+ out_stream.write(out_stream.meta(self._model.description))
+ self._topology.dump(self._model.meta_data, out_stream, 'Metadata')
+ self._topology.dump(self._model.node_templates, out_stream)
+ self._topology.dump(self._model.group_templates, out_stream)
+ self._topology.dump(self._model.policy_templates, out_stream)
+ self._topology.dump(self._model.substitution_template, out_stream)
+ self._topology.dump(self._model.inputs, out_stream, 'Inputs')
+ self._topology.dump(self._model.outputs, out_stream, 'Outputs')
+ self._topology.dump(self._model.workflow_templates, out_stream,
'Workflow templates')
+
+ def coerce(self, **kwargs):
+ self._coerce(self._model.meta_data,
+ self._model.node_templates,
+ self._model.group_templates,
+ self._model.policy_templates,
+ self._model.substitution_template,
+ self._model.inputs,
+ self._model.outputs,
+ self._model.workflow_templates,
+ **kwargs)
+
+ def instantiate(self, instance_cls, inputs=None):
# pylint: disable=arguments-differ
+ now = datetime.now()
+
+ modeling_utils.validate_no_undeclared_inputs(
+ declared_inputs=self._model.inputs, supplied_inputs=inputs or
{})
+ modeling_utils.validate_required_inputs_are_supplied(
+ declared_inputs=self._model.inputs, supplied_inputs=inputs or
{})
+
+ service = instance_cls(
+ created_at=now,
+ updated_at=now,
+
description=utils.deepcopy_with_locators(self._model.description),
+ service_template=self._model,
+ inputs=modeling_utils.merge_parameter_values(inputs,
self._model.inputs)
+ )
+
+ for plugin_specification in
self._model.plugin_specifications.itervalues():
+ if plugin_specification.enabled and
self._topology._model_storage:
+ if utils.resolve_plugin_specification(plugin_specification,
+
self._topology.model_storage.plugin.list()):
+ plugin = plugin_specification.plugin
+ service.plugins[plugin.name] = plugin
+ else:
+ self._topology.report('specified plugin not found:
{0}'.format(
+ plugin_specification.name),
level=self._topology.Issue.EXTERNAL)
+ service.meta_data =
self._topology.instantiate(self._model.meta_data)
+
+ for node_template in self._model.node_templates.itervalues():
+ for _ in
range(self._scaling(node_template)['default_instances']):
+ node = self._topology.instantiate(node_template)
+ service.nodes[node.name] = node
+
+ service.groups =
self._topology.instantiate(self._model.group_templates)
+ service.policies =
self._topology.instantiate(self._model.policy_templates)
+ service.workflows =
self._topology.instantiate(self._model.workflow_templates)
+ service.substitution =
self._topology.instantiate(self._model.substitution_template)
+ service.outputs = self._topology.instantiate(self._model.outputs)
+
+ return service
+
+ def _scaling(self, node_template):
+ scaling = {}
+
+ def extract_property(properties, name):
+ if name in scaling:
+ return
+ prop = properties.get(name)
+ if (prop is not None) and (prop.type_name == 'integer') and
(prop.value is not None):
+ scaling[name] = prop.value
+
+ def extract_properties(properties):
+ extract_property(properties, 'min_instances')
+ extract_property(properties, 'max_instances')
+ extract_property(properties, 'default_instances')
+
+ # From our scaling capabilities
+ for capability_template in
node_template.capability_templates.itervalues():
+ if capability_template.type.role == 'scaling':
+ extract_properties(capability_template.properties)
+
+ # From service scaling policies
+ for policy_template in
node_template.service_template.policy_templates.itervalues():
+ if policy_template.type.role == 'scaling':
+ if
policy_template.is_for_node_template(node_template.name):
+ extract_properties(policy_template.properties)
+
+ # Defaults
+ scaling.setdefault('min_instances', 0)
+ scaling.setdefault('max_instances', 1)
+ scaling.setdefault('default_instances', 1)
+
+ # Validate
+ # pylint: disable=too-many-boolean-expressions
+ if (scaling['min_instances'] < 0 or
+ scaling['max_instances'] < 0 or
+ scaling['default_instances'] < 0 or
+ scaling['max_instances'] < scaling['min_instances'] or
+ scaling['default_instances'] < scaling['min_instances'] or
+ scaling['default_instances'] > scaling['max_instances']):
+ self._topology.report(
+ 'invalid scaling parameters for node template "{0}":
min={min_instances}, max='
+ '{max_instances},
default={default_instances}'.format(self._model.name, **scaling),
+ level=self._topology.Issue.BETWEEN_TYPES)
+
+ return scaling
+
+ def validate(self):
+ self._topology.validate(self._model.meta_data)
+ self._topology.validate(self._model.node_templates)
+ self._topology.validate(self._model.group_templates)
+ self._topology.validate(self._model.policy_templates)
+ self._topology.validate(self._model.substitution_template)
+ self._topology.validate(self._model.inputs)
+ self._topology.validate(self._model.outputs)
+ self._topology.validate(self._model.workflow_templates)
+ self._topology.validate(self._model.node_types)
+ self._topology.validate(self._model.group_types)
+ self._topology.validate(self._model.policy_types)
+ self._topology.validate(self._model.relationship_types)
+ self._topology.validate(self._model.capability_types)
+ self._topology.validate(self._model.interface_types)
+ self._topology.validate(self._model.artifact_types)
+
+
+class ArtifactTemplate(common._TemplateHandlerMixin):
+ def dump(self, out_stream):
+ out_stream.write(out_stream.node(self._model.name))
+ if self._model.description:
+ out_stream.write(out_stream.meta(self._model.description))
+ with out_stream.indent():
+ out_stream.write('Artifact type:
{0}'.format(out_stream.type(self._model.type.name)))
+ out_stream.write('Source path:
{0}'.format(out_stream.literal(self._model.source_path)))
+ if self._model.target_path is not None:
+ out_stream.write('Target path:
{0}'.format(out_stream.literal(
+ self._model.target_path)))
+ if self._model.repository_url is not None:
+ out_stream.write('Repository URL: {0}'.format(
+ out_stream.literal(self._model.repository_url)))
+ if self._model.repository_credential:
+ out_stream.write('Repository credential: {0}'.format(
+ out_stream.literal(self._model.repository_credential)))
+ self._topology.dump(self._model.properties, out_stream,
'Properties')
+
+ def coerce(self, **kwargs):
+ self._topology.coerce(self._model.properties, **kwargs)
+
+ def instantiate(self, instance_cls):
+ return instance_cls(
+ name=self._model.name,
+ type=self._model.type,
+
description=utils.deepcopy_with_locators(self._model.description),
+ source_path=self._model.source_path,
+ target_path=self._model.target_path,
+ repository_url=self._model.repository_url,
+ repository_credential=self._model.repository_credential,
+ artifact_template=self._model)
+
+ def validate(self):
+ self._topology.validate(self._model.properties)
+
+
+class CapabilityTemplate(common._TemplateHandlerMixin):
+ def dump(self, out_stream):
+ out_stream.write(out_stream.node(self._model.name))
+ if self._model.description:
+ out_stream.write(out_stream.meta(self._model.description))
+ with out_stream.indent():
+ out_stream.write('Type:
{0}'.format(out_stream.type(self._model.type.name)))
+ out_stream.write(
+ 'Occurrences: {0:d}{1}'.format(
+ self._model.min_occurrences or 0,
+ ' to {0:d}'.format(self._model.max_occurrences)
+ if self._model.max_occurrences is not None
+ else ' or more'))
+ if self._model.valid_source_node_types:
+ out_stream.write('Valid source node types: {0}'.format(
+ ', '.join((str(out_stream.type(v.name))
+ for v in
self._model.valid_source_node_types))))
+ self._topology.dump(self._model.properties, out_stream,
'Properties')
+
+ def coerce(self):
+ self._topology.coerce(self._model.properties)
+
+ def instantiate(self, instance_cls):
+ return instance_cls(name=self._model.name,
+ type=self._model.type,
+ min_occurrences=self._model.min_occurrences,
+ max_occurrences=self._model.max_occurrences,
+ occurrences=0,
+ capability_template=self._model)
+
+ def validate(self):
+ self._topology.validate(self._model.properties)
+
+
+class RequirementTemplate(common._TemplateHandlerMixin):
+ def dump(self, out_stream):
+ if self._model.name:
+ out_stream.write(out_stream.node(self._model.name))
+ else:
+ out_stream.write('Requirement:')
+ with out_stream.indent():
+ if self._model.target_node_type is not None:
+ out_stream.write('Target node type: {0}'.format(
+ out_stream.type(self._model.target_node_type.name)))
+ elif self._model.target_node_template is not None:
+ out_stream.write('Target node template: {0}'.format(
+
out_stream.node(self._model.target_node_template.name)))
+ if self._model.target_capability_type is not None:
+ out_stream.write('Target capability type: {0}'.format(
+
out_stream.type(self._model.target_capability_type.name)))
+ elif self._model.target_capability_name is not None:
+ out_stream.write('Target capability name: {0}'.format(
+ out_stream.node(self._model.target_capability_name)))
+ if self._model.target_node_template_constraints:
+ out_stream.write('Target node template constraints:')
+ with out_stream.indent():
+ for constraint in
self._model.target_node_template_constraints:
+ out_stream.write(out_stream.literal(constraint))
+ if self._model.relationship_template:
+ out_stream.write('Relationship:')
+ with out_stream.indent():
+ self._topology.dump(self._model.relationship_template,
out_stream)
+
+ def coerce(self, **kwargs):
+ self._topology.coerce(self._model.relationship_template, **kwargs)
+
+ def instantiate(self, instance_cls):
+ return instance_cls(name=self._model.name,
+ type=self._model.type,
+ min_occurrences=self._model.min_occurrences,
+ max_occurrences=self._model.max_occurrences,
+ occurrences=0,
--- End diff --
Should it be 1? This is a requirement template.
And do we even instantiate this class? In the `_init_map` it is mapped to
`None`.
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