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# Licensed to the Apache Software Foundation (ASF) under one or more
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# 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.
import copy
import pytest
from aria.orchestrator.workflows import api
from aria.orchestrator.workflows.core import engine, graph_compiler
from aria.orchestrator.workflows.executor import process
from aria.orchestrator import workflow, operation
from aria.orchestrator.workflows import exceptions
import tests
from tests import mock
from tests import storage
_TEST_ATTRIBUTES = {
'some': 'values', 'that': 'are', 'most': 'likely', 'only': 'set', 'here': 'yo'
}
def test_track_changes_of_successful_operation(context, executor):
_run_workflow(context=context, executor=executor, op_func=_mock_success_operation)
_assert_tracked_changes_are_applied(context)
def test_track_changes_of_failed_operation(context, executor):
with pytest.raises(exceptions.ExecutorException):
_run_workflow(context=context, executor=executor, op_func=_mock_fail_operation)
_assert_tracked_changes_are_applied(context)
def _assert_tracked_changes_are_applied(context):
instance = context.model.node.get_by_name(mock.models.DEPENDENCY_NODE_NAME)
assert all(instance.attributes[key].value == value
for key, value in _TEST_ATTRIBUTES.items())
def _update_attributes(context):
context.node.attributes.clear()
context.node.attributes.update(_TEST_ATTRIBUTES)
def test_refresh_state_of_tracked_attributes(context, executor):
out = _run_workflow(context=context, executor=executor, op_func=_mock_refreshing_operation)
assert out['after_refresh'] == out['after_change']
assert out['initial'] != out['after_change']
def test_apply_tracked_changes_during_an_operation(context, executor):
arguments = {
'committed': {'some': 'new', 'properties': 'right here'},
'changed_but_refreshed': {'some': 'newer', 'properties': 'right there'}
}
expected_initial = context.model.node.get_by_name(mock.models.DEPENDENCY_NODE_NAME).attributes
out = _run_workflow(
context=context, executor=executor, op_func=_mock_updating_operation, arguments=arguments)
expected_after_update = expected_initial.copy()
expected_after_update.update(arguments['committed']) # pylint: disable=no-member
expected_after_change = expected_after_update.copy()
expected_after_change.update(arguments['changed_but_refreshed']) # pylint: disable=no-member
assert out['initial'] == expected_initial
assert out['after_update'] == expected_after_update
assert out['after_change'] == expected_after_change
assert out['after_refresh'] == expected_after_change
def _run_workflow(context, executor, op_func, arguments=None):
node = context.model.node.get_by_name(mock.models.DEPENDENCY_NODE_NAME)
interface_name = 'test_interface'
operation_name = 'operation'
wf_arguments = arguments or {}
interface = mock.models.create_interface(
context.service,
interface_name,
operation_name,
operation_kwargs=dict(function=_operation_mapping(op_func),
arguments=wf_arguments)
)
node.interfaces[interface.name] = interface
context.model.node.update(node)
@workflow
def mock_workflow(ctx, graph):
task = api.task.OperationTask(
node,
interface_name=interface_name,
operation_name=operation_name,
arguments=wf_arguments)
graph.add_tasks(task)
return graph
graph = mock_workflow(ctx=context) # pylint: disable=no-value-for-parameter
graph_compiler.GraphCompiler(context, executor.__class__).compile(graph)
eng = engine.Engine(executor)
eng.execute(context)
out = context.model.node.get_by_name(mock.models.DEPENDENCY_NODE_NAME).attributes.get('out')
return out.value if out else None
@operation
def _mock_success_operation(ctx):
_update_attributes(ctx)
@operation
def _mock_fail_operation(ctx):
_update_attributes(ctx)
raise RuntimeError
@operation
def _mock_refreshing_operation(ctx):
out = {'initial': copy.deepcopy(ctx.node.attributes)}
ctx.node.attributes.update({'some': 'new', 'properties': 'right here'})
out['after_change'] = copy.deepcopy(ctx.node.attributes)
ctx.model.node.refresh(ctx.node)
out['after_refresh'] = copy.deepcopy(ctx.node.attributes)
ctx.node.attributes['out'] = out
@operation
def _mock_updating_operation(ctx, committed, changed_but_refreshed):
out = {'initial': copy.deepcopy(ctx.node.attributes)}
ctx.node.attributes.update(committed)
ctx.model.node.update(ctx.node)
out['after_update'] = copy.deepcopy(ctx.node.attributes)
ctx.node.attributes.update(changed_but_refreshed)
out['after_change'] = copy.deepcopy(ctx.node.attributes)
ctx.model.node.refresh(ctx.node)
out['after_refresh'] = copy.deepcopy(ctx.node.attributes)
ctx.node.attributes['out'] = out
def _operation_mapping(func):
return '{name}.{func.__name__}'.format(name=__name__, func=func)
@pytest.fixture
def executor():
result = process.ProcessExecutor(python_path=[tests.ROOT_DIR])
try:
yield result
finally:
result.close()
@pytest.fixture
def context(tmpdir):
result = mock.context.simple(str(tmpdir))
yield result
storage.release_sqlite_storage(result.model)