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# 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 networkx import topological_sort, DiGraph
from aria.modeling import models
from aria.orchestrator import context
from aria.orchestrator.workflows import api
from aria.orchestrator.workflows.core import graph_compiler
from aria.orchestrator.workflows.executor import base
from tests import mock
from tests import storage
def test_task_graph_into_execution_graph(tmpdir):
interface_name = 'Standard'
op1_name, op2_name, op3_name = 'create', 'configure', 'start'
workflow_context = mock.context.simple(str(tmpdir))
node = workflow_context.model.node.get_by_name(mock.models.DEPENDENCY_NODE_NAME)
interface = mock.models.create_interface(
node.service,
interface_name,
op1_name,
operation_kwargs=dict(function='test')
)
interface.operations[op2_name] = mock.models.create_operation(op2_name) # pylint: disable=unsubscriptable-object
interface.operations[op3_name] = mock.models.create_operation(op3_name) # pylint: disable=unsubscriptable-object
node.interfaces[interface.name] = interface
workflow_context.model.node.update(node)
def sub_workflow(name, **_):
return api.task_graph.TaskGraph(name)
with context.workflow.current.push(workflow_context):
test_task_graph = api.task.WorkflowTask(sub_workflow, name='test_task_graph')
simple_before_task = api.task.OperationTask(
node,
interface_name=interface_name,
operation_name=op1_name)
simple_after_task = api.task.OperationTask(
node,
interface_name=interface_name,
operation_name=op1_name)
inner_task_graph = api.task.WorkflowTask(sub_workflow, name='test_inner_task_graph')
inner_task_1 = api.task.OperationTask(
node,
interface_name=interface_name,
operation_name=op1_name)
inner_task_2 = api.task.OperationTask(
node,
interface_name=interface_name,
operation_name=op2_name)
inner_task_3 = api.task.OperationTask(
node,
interface_name=interface_name,
operation_name=op3_name)
inner_task_graph.add_tasks(inner_task_1)
inner_task_graph.add_tasks(inner_task_2)
inner_task_graph.add_tasks(inner_task_3)
inner_task_graph.add_dependency(inner_task_2, inner_task_1)
inner_task_graph.add_dependency(inner_task_3, inner_task_1)
inner_task_graph.add_dependency(inner_task_3, inner_task_2)
test_task_graph.add_tasks(simple_before_task)
test_task_graph.add_tasks(simple_after_task)
test_task_graph.add_tasks(inner_task_graph)
test_task_graph.add_dependency(inner_task_graph, simple_before_task)
test_task_graph.add_dependency(simple_after_task, inner_task_graph)
compiler = graph_compiler.GraphCompiler(workflow_context, base.StubTaskExecutor)
compiler.compile(test_task_graph)
execution_tasks = topological_sort(_graph(workflow_context.execution.tasks))
assert len(execution_tasks) == 9
expected_tasks_names = [
'{0}-Start'.format(test_task_graph.id),
simple_before_task.id,
'{0}-Start'.format(inner_task_graph.id),
inner_task_1.id,
inner_task_2.id,
inner_task_3.id,
'{0}-End'.format(inner_task_graph.id),
simple_after_task.id,
'{0}-End'.format(test_task_graph.id)
]
assert expected_tasks_names == [compiler._model_to_api_id[t.id] for t in execution_tasks]
assert all(isinstance(task, models.Task) for task in execution_tasks)
execution_tasks = iter(execution_tasks)
_assert_tasks(
iter(execution_tasks),
iter([simple_after_task, inner_task_1, inner_task_2, inner_task_3, simple_after_task])
)
storage.release_sqlite_storage(workflow_context.model)
def _assert_tasks(execution_tasks, api_tasks):
start_workflow_exec_task = next(execution_tasks)
assert start_workflow_exec_task._stub_type == models.Task.START_WORKFLOW
before_exec_task = next(execution_tasks)
simple_before_task = next(api_tasks)
_assert_execution_is_api_task(before_exec_task, simple_before_task)
assert before_exec_task.dependencies == [start_workflow_exec_task]
start_subworkflow_exec_task = next(execution_tasks)
assert start_subworkflow_exec_task._stub_type == models.Task.START_SUBWROFKLOW
assert start_subworkflow_exec_task.dependencies == [before_exec_task]
inner_exec_task_1 = next(execution_tasks)
inner_task_1 = next(api_tasks)
_assert_execution_is_api_task(inner_exec_task_1, inner_task_1)
assert inner_exec_task_1.dependencies == [start_subworkflow_exec_task]
inner_exec_task_2 = next(execution_tasks)
inner_task_2 = next(api_tasks)
_assert_execution_is_api_task(inner_exec_task_2, inner_task_2)
assert inner_exec_task_2.dependencies == [inner_exec_task_1]
inner_exec_task_3 = next(execution_tasks)
inner_task_3 = next(api_tasks)
_assert_execution_is_api_task(inner_exec_task_3, inner_task_3)
assert sorted(inner_exec_task_3.dependencies) == sorted([inner_exec_task_1, inner_exec_task_2])
end_subworkflow_exec_task = next(execution_tasks)
assert end_subworkflow_exec_task._stub_type == models.Task.END_SUBWORKFLOW
assert end_subworkflow_exec_task.dependencies == [inner_exec_task_3]
after_exec_task = next(execution_tasks)
simple_after_task = next(api_tasks)
_assert_execution_is_api_task(after_exec_task, simple_after_task)
assert after_exec_task.dependencies == [end_subworkflow_exec_task]
end_workflow_exec_task = next(execution_tasks)
assert end_workflow_exec_task._stub_type == models.Task.END_WORKFLOW
assert end_workflow_exec_task.dependencies == [after_exec_task]
def _assert_execution_is_api_task(execution_task, api_task):
assert execution_task.name == api_task.name
assert execution_task.function == api_task.function
assert execution_task.actor == api_task.actor
assert execution_task.arguments == api_task.arguments
def _get_task_by_name(task_name, graph):
return graph.node[task_name]['task']
def _graph(tasks):
graph = DiGraph()
for task in tasks:
for dependency in task.dependencies:
graph.add_edge(dependency, task)
return graph
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