def test_convert_recipe_definition_to_v6_json_full(self):
"""Tests calling convert_recipe_definition_to_v6_json() with a full definition"""
interface = Interface()
interface.add_parameter(FileParameter('file_param_a', ['image/gif']))
interface.add_parameter(JsonParameter('json_param_a', 'object'))
interface.add_parameter(JsonParameter('json_param_b', 'object', required=False))
definition = RecipeDefinition(interface)
definition.add_job_node('A', 'job_type_1', '1.0', 1)
definition.add_job_node('B', 'job_type_2', '2.0', 1)
definition.add_job_node('C', 'job_type_3', '1.0', 2)
definition.add_recipe_node('D', 'recipe_type_1', 1)
definition.add_condition_node('E', Interface(), DataFilter())
definition.add_job_node('F', 'job_type_4', '1.0', 1)
definition.add_dependency('A', 'B')
definition.add_dependency('A', 'C')
definition.add_dependency('B', 'E')
definition.add_dependency('C', 'D')
definition.add_dependency('E', 'F')
definition.add_recipe_input_connection('A', 'input_a', 'file_param_a')
definition.add_dependency_input_connection('B', 'b_input_a', 'A', 'a_output_1')
definition.add_dependency_input_connection('C', 'c_input_a', 'A', 'a_output_2')
definition.add_dependency_input_connection('D', 'd_input_a', 'C', 'c_output_1')
definition.add_recipe_input_connection('D', 'd_input_b', 'json_param_a')
json = convert_recipe_definition_to_v6_json(definition)
RecipeDefinitionV6(definition=json.get_dict(), do_validate=True) # Revalidate
self.assertSetEqual(set(json.get_dict()['nodes'].keys()), {'A', 'B', 'C', 'D', 'E', 'F'})
def test_convert_recipe_to_v6_json(self):
"""Tests calling convert_recipe_to_v6_json() successfully"""
job_type_1 = job_test_utils.create_seed_job_type()
job_type_2 = job_test_utils.create_seed_job_type()
job_type_3 = job_test_utils.create_seed_job_type()
job_type_4 = job_test_utils.create_seed_job_type()
recipe_type_1 = recipe_test_utils.create_recipe_type_v6()
interface = Interface()
interface.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface.add_parameter(JsonParameter('json_param_1', 'object'))
df1 = DataFilter(filter_list=[{'name': 'file_param_1', 'type': 'media-type', 'condition': '==', 'values': ['image/gif']},
{'name': 'json_param_1', 'type': 'object', 'condition': 'superset of', 'values': [{}]}],
all=False)
definition = RecipeDefinition(interface)
definition.add_job_node('A', job_type_1.name, job_type_1.version, job_type_1.revision_num)
definition.add_job_node('B', job_type_2.name, job_type_2.version, job_type_2.revision_num)
definition.add_job_node('C', job_type_3.name, job_type_3.version, job_type_3.revision_num)
definition.add_recipe_node('D', recipe_type_1.name, recipe_type_1.revision_num)
definition.add_job_node('E', job_type_4.name, job_type_4.version, job_type_4.revision_num)
definition.add_condition_node('F', interface, df1) #False
definition.add_job_node('G', job_type_4.name, job_type_4.version, job_type_4.revision_num)
definition.add_dependency('A', 'B')
definition.add_dependency('A', 'C')
definition.add_dependency('B', 'E')
definition.add_dependency('C', 'D')
definition.add_dependency('A', 'F')
definition.add_dependency('F', 'G')
definition.add_recipe_input_connection('A', 'input_1', 'file_param_1')
definition.add_dependency_input_connection('B', 'b_input_1', 'A', 'a_output_1')
definition.add_dependency_input_connection('C', 'c_input_1', 'A', 'a_output_2')
definition.add_dependency_input_connection('D', 'd_input_1', 'C', 'c_output_1')
definition.add_recipe_input_connection('D', 'd_input_2', 'json_param_1')
recipe = recipe_test_utils.create_recipe()
job_a = job_test_utils.create_job(job_type=job_type_1, status='COMPLETED', save=False)
job_b = job_test_utils.create_job(job_type=job_type_2, status='RUNNING', save=False)
job_c = job_test_utils.create_job(job_type=job_type_3, status='COMPLETED', save=False)
job_e = job_test_utils.create_job(job_type=job_type_4, status='PENDING', num_exes=0, save=False)
Job.objects.bulk_create([job_a, job_b, job_c, job_e])
condition_f = recipe_test_utils.create_recipe_condition(is_processed=True, is_accepted=False, save=True)
recipe_d = recipe_test_utils.create_recipe(recipe_type=recipe_type_1)
recipe_node_a = recipe_test_utils.create_recipe_node(recipe=recipe, node_name='A', job=job_a, save=False)
recipe_node_b = recipe_test_utils.create_recipe_node(recipe=recipe, node_name='B', job=job_b, save=False)
recipe_node_c = recipe_test_utils.create_recipe_node(recipe=recipe, node_name='C', job=job_c, save=False)
recipe_node_d = recipe_test_utils.create_recipe_node(recipe=recipe, node_name='D', sub_recipe=recipe_d,
save=False)
recipe_node_e = recipe_test_utils.create_recipe_node(recipe=recipe, node_name='E', job=job_e, save=False)
recipe_node_f = recipe_test_utils.create_recipe_node(recipe=recipe, node_name='F', condition=condition_f,
save=False)
recipe_nodes = [recipe_node_a, recipe_node_b, recipe_node_c, recipe_node_d, recipe_node_e, recipe_node_f]
recipe_instance = RecipeInstance(definition, recipe, recipe_nodes)
json = convert_recipe_to_v6_json(recipe_instance)
RecipeInstanceV6(json=json.get_dict(), do_validate=True) # Revalidate
self.assertSetEqual(set(json.get_dict()['nodes'].keys()), {'A', 'B', 'C', 'D', 'E', 'F'})
def test_convert_recipe_diff_to_v6_json_with_changes(self):
"""Tests calling convert_recipe_diff_to_v6_json() with a diff containing a variety of changes"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2.add_parameter(
JsonParameter('json_param_2', 'object', required=False))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_job_node('E', 'job_type_4', '1.0', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('B', 'E')
definition_1.add_dependency('C', 'D')
definition_1.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2 = RecipeDefinition(interface_2)
# Nodes B and E are deleted
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('C', 'job_type_3', '2.1',
1) # Change to job type version and revision
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_recipe_node('F', 'recipe_type_2', 5) # New node
definition_2.add_dependency('A', 'C')
definition_2.add_dependency('C', 'D')
definition_2.add_dependency('D', 'F')
definition_2.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_2.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_2.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2.add_recipe_input_connection('F', 'f_input_1',
'json_param_2')
diff = RecipeDiff(definition_1, definition_2)
json = convert_recipe_diff_to_v6_json(diff)
RecipeDiffV6(diff=json.get_dict(), do_validate=True) # Revalidate
self.assertTrue(json.get_dict()['can_be_reprocessed'])
def test_dependency_input_conn_successful(self):
"""Tests calling RecipeDefinition.add_dependency_input_connection() successfully"""
input_interface = Interface()
definition = RecipeDefinition(input_interface)
definition.add_recipe_node('node_1', 'recipe_type_1', 1)
definition.add_job_node('node_2', 'job_type_2', '1.0', 1)
definition.add_dependency_input_connection('node_1', 'input_1',
'node_2', 'output_1')
def test_dependency_input_conn_missing_input_node(self):
"""Tests calling RecipeDefinition.add_dependency_input_connection() with an unknown input node"""
input_interface = Interface()
definition = RecipeDefinition(input_interface)
definition.add_job_node('node_1', 'job_type_1', '1.0', 1)
with self.assertRaises(InvalidDefinition) as context:
definition.add_dependency_input_connection('missing_node',
'input_1', 'node_1',
'output_1')
self.assertEqual(context.exception.error.name, 'UNKNOWN_NODE')
def test_dependency_input_conn_cannot_connect_to_recipe(self):
"""Tests calling RecipeDefinition.add_dependency_input_connection() to connect to a recipe node (invalid)"""
input_interface = Interface()
definition = RecipeDefinition(input_interface)
definition.add_job_node('node_1', 'job_type_1', '1.0', 1)
definition.add_recipe_node('node_2', 'recipe_type_1', 1)
with self.assertRaises(InvalidDefinition) as context:
definition.add_dependency_input_connection('node_1', 'input_1',
'node_2', 'output_1')
self.assertEqual(context.exception.error.name,
'CONNECTION_INVALID_NODE')
def test_dependency_input_conn_duplicate_input(self):
"""Tests calling RecipeDefinition.add_dependency_input_connection() to connect to a duplicate input"""
input_interface = Interface()
definition = RecipeDefinition(input_interface)
definition.add_job_node('node_1', 'job_type_1', '1.0', 1)
definition.add_job_node('node_2', 'job_type_2', '1.0', 1)
definition.add_dependency_input_connection('node_1', 'input_1',
'node_2', 'output_1')
with self.assertRaises(InvalidDefinition) as context:
definition.add_dependency_input_connection('node_1', 'input_1',
'node_2', 'output_1')
self.assertEqual(context.exception.error.name, 'NODE_INTERFACE')
def get_definition(self):
"""Returns the recipe definition represented by this JSON
:returns: The recipe definition
:rtype: :class:`recipe.definition.definition.RecipeDefinition`:
"""
interface_json = InterfaceV6(self._definition['input'],
do_validate=False)
interface = interface_json.get_interface()
definition = RecipeDefinition(interface)
# Add all nodes to definition first
for node_name, node_dict in self._definition['nodes'].items():
node_type_dict = node_dict['node_type']
if node_type_dict['node_type'] == 'condition':
cond_interface_json = InterfaceV6(node_type_dict['interface'],
do_validate=False)
data_filter_json = DataFilterV6(node_type_dict['data_filter'],
do_validate=False)
definition.add_condition_node(
node_name, cond_interface_json.get_interface(),
data_filter_json.get_filter())
elif node_type_dict['node_type'] == 'job':
definition.add_job_node(node_name,
node_type_dict['job_type_name'],
node_type_dict['job_type_version'],
node_type_dict['job_type_revision'])
elif node_type_dict['node_type'] == 'recipe':
definition.add_recipe_node(
node_name, node_type_dict['recipe_type_name'],
node_type_dict['recipe_type_revision'])
# Now add dependencies and connections
for node_name, node_dict in self._definition['nodes'].items():
for dependency_dict in node_dict['dependencies']:
acceptance = dependency_dict['acceptance'] if (
'acceptance' in dependency_dict) else True
definition.add_dependency(dependency_dict['name'], node_name,
acceptance)
for conn_name, conn_dict in node_dict['input'].items():
if conn_dict['type'] == 'recipe':
definition.add_recipe_input_connection(
node_name, conn_name, conn_dict['input'])
elif conn_dict['type'] == 'dependency':
definition.add_dependency_input_connection(
node_name, conn_name, conn_dict['node'],
conn_dict['output'])
return definition
def test_validate_successful(self):
"""Tests calling RecipeDefinition.validate() successfully"""
input_interface = Interface()
definition = RecipeDefinition(input_interface)
definition.add_job_node('A', 'job_type_1', '1.0', 1)
definition.add_recipe_node('B', 'recipe_type_1', 1)
definition.add_dependency('A', 'B')
definition.add_dependency_input_connection('B', 'input_1', 'A',
'output_1')
mocked_interfaces = {'A': MagicMock(), 'B': MagicMock()}
warnings = definition.validate(mocked_interfaces, mocked_interfaces)
self.assertListEqual(warnings, [])
def test_validate_invalid_connection(self):
"""Tests calling RecipeDefinition.validate() with an invalid connection to a node's input interface"""
input_interface = Interface()
definition = RecipeDefinition(input_interface)
definition.add_job_node('A', 'job_type_1', '1.0', 1)
definition.add_recipe_node('B', 'recipe_type_1', 1)
definition.add_dependency('A', 'B')
definition.add_dependency_input_connection('B', 'input_1', 'A',
'output_1')
mocked_interfaces = {'A': MagicMock(), 'B': MagicMock()}
mocked_interfaces[
'B'].validate_connection.side_effect = InvalidInterfaceConnection(
'', '')
with self.assertRaises(InvalidDefinition) as context:
definition.validate(mocked_interfaces, mocked_interfaces)
self.assertEqual(context.exception.error.name, 'NODE_INTERFACE')
def test_init_new_required_input(self):
"""Tests creating a RecipeDiff when the newer definition has a new required input parameter"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2.add_parameter(JsonParameter('json_param_2', 'object', required=True))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('C', 'D')
definition_1.add_recipe_input_connection('A', 'input_1', 'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A', 'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A', 'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C', 'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2', 'json_param_1')
definition_2 = RecipeDefinition(interface_2)
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('B', 'job_type_2', '2.0', 1)
definition_2.add_job_node('C', 'job_type_3', '1.1', 1) # Change to job type version and revision
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_dependency('A', 'B')
definition_2.add_dependency('A', 'C')
definition_2.add_dependency('C', 'D')
definition_2.add_recipe_input_connection('A', 'input_1', 'file_param_1')
definition_2.add_dependency_input_connection('B', 'b_input_1', 'A', 'a_output_1')
definition_2.add_dependency_input_connection('C', 'c_input_1', 'A', 'a_output_2')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'C', 'c_output_1')
definition_2.add_recipe_input_connection('D', 'd_input_2', 'json_param_1')
diff = RecipeDiff(definition_1, definition_2)
self.assertFalse(diff.can_be_reprocessed)
self.assertEqual(len(diff.reasons), 1)
self.assertEqual(diff.reasons[0].name, 'INPUT_CHANGE')
# Cannot be reprocessed, so no nodes to copy, supersede, or unpublish
self.assertDictEqual(diff.get_nodes_to_copy(), {})
self.assertDictEqual(diff.get_nodes_to_supersede(), {})
self.assertDictEqual(diff.get_nodes_to_unpublish(), {})
# Ensure no nodes have reprocess_new_node set to true
for node_diff in diff.graph.values():
self.assertFalse(node_diff.reprocess_new_node)
def test_validate_missing_dependency(self):
"""Tests calling RecipeDefinition.validate() with a connection that has a missing dependency"""
input_interface = Interface()
input_interface.parameters = {'recipe_input_1': MagicMock()}
definition = RecipeDefinition(input_interface)
definition.add_job_node('A', 'job_type_1', '1.0', 1)
definition.add_recipe_node('B', 'recipe_type_1', 1)
definition.add_job_node('C', 'job_type_2', '1.0', 1)
definition.add_dependency('B', 'C')
definition.add_dependency_input_connection('B', 'input_1', 'A',
'output_1')
mocked_interfaces = {
'A': MagicMock(),
'B': MagicMock(),
'C': MagicMock()
}
with self.assertRaises(InvalidDefinition) as context:
definition.validate(mocked_interfaces, mocked_interfaces)
self.assertEqual(context.exception.error.name, 'NODE_INTERFACE')
def test_convert_recipe_definition_to_v1_json_full(self):
"""Tests calling convert_recipe_definition_to_v1_json() with a full definition"""
interface = Interface()
interface.add_parameter(FileParameter('file_param_a', ['image/gif']))
interface.add_parameter(JsonParameter('json_param_a', 'object'))
interface.add_parameter(
JsonParameter('json_param_b', 'object', required=False))
definition = RecipeDefinition(interface)
definition.add_job_node('A', 'job_type_1', '1.0', 1)
definition.add_job_node('B', 'job_type_2', '2.0', 1)
definition.add_job_node('C', 'job_type_3', '1.0', 2)
definition.add_recipe_node('D', 'recipe_type_1', 1)
definition.add_job_node('E', 'job_type_4', '1.0', 1)
definition.add_dependency('A', 'B')
definition.add_dependency('A', 'C')
definition.add_dependency('B', 'E')
definition.add_dependency('C', 'D')
definition.add_recipe_input_connection('A', 'input_1', 'file_param_a')
definition.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition.add_recipe_input_connection('D', 'd_input_2',
'json_param_a')
json = convert_recipe_definition_to_v1_json(definition)
RecipeDefinitionV1(definition=json.get_dict(),
do_validate=True) # Revalidate
job_names = {job_dict['name'] for job_dict in json.get_dict()['jobs']}
self.assertSetEqual(job_names,
{'A', 'B', 'C', 'E'}) # D is omitted (recipe node)
def test_convert_recipe_diff_to_v6_json_new_required_input(self):
"""Tests calling convert_recipe_diff_to_v6_json() with a diff where there is a breaking recipe interface
change
"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2.add_parameter(JsonParameter('json_param_2', 'object', required=True))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('C', 'D')
definition_1.add_recipe_input_connection('A', 'input_1', 'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A', 'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A', 'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C', 'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2', 'json_param_1')
definition_2 = RecipeDefinition(interface_2)
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('B', 'job_type_2', '2.0', 1)
definition_2.add_job_node('C', 'job_type_3', '1.1', 1) # Change to job type version and revision
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_dependency('A', 'B')
definition_2.add_dependency('A', 'C')
definition_2.add_dependency('C', 'D')
definition_2.add_recipe_input_connection('A', 'input_1', 'file_param_1')
definition_2.add_dependency_input_connection('B', 'b_input_1', 'A', 'a_output_1')
definition_2.add_dependency_input_connection('C', 'c_input_1', 'A', 'a_output_2')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'C', 'c_output_1')
definition_2.add_recipe_input_connection('D', 'd_input_2', 'json_param_1')
diff = RecipeDiff(definition_1, definition_2)
json = convert_recipe_diff_to_v6_json(diff)
RecipeDiffV6(diff=json.get_dict(), do_validate=True) # Revalidate
self.assertFalse(json.get_dict()['can_be_reprocessed'])
def test_generate_node_input_data(self):
"""Tests calling RecipeDefinition.generate_node_input_data()"""
input_interface = Interface()
input_interface.add_parameter(
FileParameter('recipe_input_1', ['image/gif'], multiple=True))
input_interface.add_parameter(JsonParameter('recipe_input_2',
'string'))
definition = RecipeDefinition(input_interface)
definition.add_job_node('node_a', 'job_type_1', '1.0', 1)
definition.add_job_node('node_b', 'job_type_2', '1.0', 1)
definition.add_job_node('node_c', 'job_type_3', '1.0', 1)
definition.add_dependency('node_c', 'node_b')
definition.add_dependency('node_c', 'node_a')
definition.add_recipe_input_connection('node_c', 'input_1',
'recipe_input_1')
definition.add_recipe_input_connection('node_c', 'input_2',
'recipe_input_2')
definition.add_dependency_input_connection('node_c', 'input_3',
'node_a', 'output_a_1')
definition.add_dependency_input_connection('node_c', 'input_4',
'node_a', 'output_a_2')
definition.add_dependency_input_connection('node_c', 'input_5',
'node_b', 'output_b_1')
recipe_data = Data()
recipe_data.add_value(FileValue('recipe_input_1', [1, 2, 3, 4, 5]))
recipe_data.add_value(JsonValue('recipe_input_2', 'Scale is awesome!'))
a_output_data = Data()
a_output_data.add_value(FileValue('output_a_1', [1234]))
a_output_data.add_value(JsonValue('output_a_2', {'foo': 'bar'}))
b_output_data = Data()
b_output_data.add_value(JsonValue('output_b_1', 12.34))
node_outputs = {
'node_a': RecipeNodeOutput('node_a', 'job', 1, a_output_data),
'node_b': RecipeNodeOutput('node_b', 'job', 1, b_output_data)
}
node_data = definition.generate_node_input_data(
'node_c', recipe_data, node_outputs)
self.assertSetEqual(
set(node_data.values.keys()),
{'input_1', 'input_2', 'input_3', 'input_4', 'input_5'})
self.assertListEqual(node_data.values['input_1'].file_ids,
[1, 2, 3, 4, 5])
self.assertEqual(node_data.values['input_2'].value,
'Scale is awesome!')
self.assertListEqual(node_data.values['input_3'].file_ids, [1234])
self.assertDictEqual(node_data.values['input_4'].value, {'foo': 'bar'})
self.assertEqual(node_data.values['input_5'].value, 12.34)
def test_validate_successful(self):
"""Tests calling RecipeDefinition.validate() successfully"""
recipe_interface = Interface()
recipe_interface.add_parameter(
JsonParameter('recipe_input_1', 'integer'))
definition = RecipeDefinition(recipe_interface)
definition.add_job_node('A', 'job_type_1', '1.0', 1)
condition_interface = Interface()
condition_interface.add_parameter(
JsonParameter('cond_param', 'integer'))
definition.add_condition_node('B', condition_interface,
DataFilter(True))
definition.add_recipe_node('C', 'recipe_type_1', 1)
definition.add_dependency('A', 'B')
definition.add_dependency('B', 'C')
definition.add_recipe_input_connection('A', 'a_input_1',
'recipe_input_1')
definition.add_dependency_input_connection('B', 'cond_param', 'A',
'a_output_1')
definition.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_1')
definition.add_dependency_input_connection('C', 'c_input_2', 'B',
'cond_param')
job_input_interface = Interface()
job_input_interface.add_parameter(JsonParameter(
'a_input_1', 'integer'))
job_output_interface = Interface()
job_output_interface.add_parameter(
JsonParameter('a_output_1', 'integer'))
recipe_input_interface = Interface()
recipe_input_interface.add_parameter(
JsonParameter('c_input_1', 'integer'))
recipe_input_interface.add_parameter(
JsonParameter('c_input_2', 'integer'))
input_interfaces = {
'A': job_input_interface,
'C': recipe_input_interface
}
output_interfaces = {'A': job_output_interface, 'C': Interface()}
warnings = definition.validate(input_interfaces, output_interfaces)
self.assertListEqual(warnings, [])
def test_condition_hit(self):
"""Tests calling Recipe.has_completed() when an entire recipe has completed"""
"""
Job -> Condition -> Recipe
parse-job -> condition-node -> recipe-node
"""
manifest_1 = {
'seedVersion': '1.0.0',
'job': {
'name': 'parse-job',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': 'Test Parse Job',
'description': 'Test Parse job',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {
'files': [{
'name': 'INPUT_FILE',
'mediaTypes': ['image/x-hdf5-image'],
'required': True
}],
'json': []
},
'outputs': {
'files': [{
'name': 'OUTPUT_A',
'pattern': '*.png',
'multiple': True
}]
}
}
}
}
job_type_1 = job_test_utils.create_seed_job_type(manifest=manifest_1)
input_interface = Interface()
input_interface.add_parameter(
FileParameter('INPUT_FILE', ['image/x-hdf5-image'],
multiple=False))
definition = RecipeDefinition(input_interface)
definition.add_job_node('parse-job', job_type_1.name,
job_type_1.version, job_type_1.revision_num)
cond_interface = Interface()
cond_interface.add_parameter(FileParameter('INPUT_FILE',
['image/png']))
df = DataFilter(filter_list=[{
'name': 'cond',
'type': 'media-type',
'condition': '==',
'value': ['image/png']
}])
definition.add_condition_node('condition-node', cond_interface, df)
sub_job_manifest = {
'seedVersion': '1.0.0',
'job': {
'name': 'recipe-job',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': 'Test Recipe Job',
'description': 'Test Recipe job',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {
'files': [{
'name': 'INPUT_FILE',
'mediaTypes': ['image/png'],
'required': True
}],
'json': []
},
'outputs': {
'files': [{
'name': 'OUTPUT_A',
'pattern': '*.png',
'multiple': True
}]
}
}
}
}
sub_job = job_test_utils.create_seed_job_type(
manifest=sub_job_manifest)
sub_interface = Interface()
sub_interface.add_parameter(FileParameter('INPUT_FILE', ['image/png']))
definition_b = RecipeDefinition(sub_interface)
definition_b.add_job_node('job_b', sub_job.name, sub_job.version,
sub_job.revision_num)
definition_b.add_recipe_input_connection('job_b', 'INPUT_FILE',
'INPUT_FILE')
definition_b_dict = convert_recipe_definition_to_v6_json(
definition_b).get_dict()
sub_recipe_type = recipe_test_utils.create_recipe_type_v6(
definition=definition_b_dict)
definition.add_recipe_node('recipe-node', sub_recipe_type.name,
sub_recipe_type.revision_num)
# Connect the recipe input to the parse job
definition.add_recipe_input_connection('parse-job', 'INPUT_FILE',
'INPUT_FILE')
# Connect the condition node to the parse job output
definition.add_dependency_input_connection('condition-node', 'cond',
'parse-job', 'OUTPUT_A')
# Connect the sub recipe to the condition output
definition.add_dependency_input_connection('recipe-node', 'INPUT_FILE',
'condition-node', 'cond')
def test_convert_recipe_to_v6_json(self):
"""Tests calling convert_recipe_to_v6_json() successfully"""
job_type_1 = job_test_utils.create_job_type()
job_type_2 = job_test_utils.create_job_type()
job_type_3 = job_test_utils.create_job_type()
job_type_4 = job_test_utils.create_job_type()
recipe_type_1 = recipe_test_utils.create_recipe_type()
interface = Interface()
interface.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface.add_parameter(JsonParameter('json_param_1', 'object'))
definition = RecipeDefinition(interface)
definition.add_job_node('A', job_type_1.name, job_type_1.version,
job_type_1.revision_num)
definition.add_job_node('B', job_type_2.name, job_type_2.version,
job_type_2.revision_num)
definition.add_job_node('C', job_type_3.name, job_type_3.version,
job_type_3.revision_num)
definition.add_recipe_node('D', recipe_type_1.name,
recipe_type_1.revision_num)
definition.add_job_node('E', job_type_4.name, job_type_4.version,
job_type_4.revision_num)
definition.add_dependency('A', 'B')
definition.add_dependency('A', 'C')
definition.add_dependency('B', 'E')
definition.add_dependency('C', 'D')
definition.add_recipe_input_connection('A', 'input_1', 'file_param_1')
definition.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
recipe = recipe_test_utils.create_recipe()
job_a = job_test_utils.create_job(job_type=job_type_1,
status='COMPLETED',
save=False)
job_b = job_test_utils.create_job(job_type=job_type_2,
status='RUNNING',
save=False)
job_c = job_test_utils.create_job(job_type=job_type_3,
status='COMPLETED',
save=False)
job_e = job_test_utils.create_job(job_type=job_type_4,
status='PENDING',
num_exes=0,
save=False)
Job.objects.bulk_create([job_a, job_b, job_c, job_e])
recipe_d = recipe_test_utils.create_recipe(recipe_type=recipe_type_1)
recipe_node_a = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='A',
job=job_a,
save=False)
recipe_node_b = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='B',
job=job_b,
save=False)
recipe_node_c = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='C',
job=job_c,
save=False)
recipe_node_d = recipe_test_utils.create_recipe_node(
recipe=recipe, node_name='D', sub_recipe=recipe_d, save=False)
recipe_node_e = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='E',
job=job_e,
save=False)
recipe_nodes = [
recipe_node_a, recipe_node_b, recipe_node_c, recipe_node_d,
recipe_node_e
]
recipe_instance = RecipeInstance(definition, recipe_nodes)
json = convert_recipe_to_v6_json(recipe_instance)
RecipeInstanceV6(json=json.get_dict(), do_validate=True) # Revalidate
self.assertSetEqual(set(json.get_dict()['nodes'].keys()),
{'A', 'B', 'C', 'D', 'E'})
def test_execute_with_recipe_legacy(self):
"""Tests calling ProcessRecipeInput.execute() successfully when a legacy sub-recipe has to get its data from its
recipe
"""
workspace = storage_test_utils.create_workspace()
file_1 = storage_test_utils.create_file(workspace=workspace,
file_size=104857600.0)
file_2 = storage_test_utils.create_file(workspace=workspace,
file_size=987654321.0)
file_3 = storage_test_utils.create_file(workspace=workspace,
file_size=65456.0)
file_4 = storage_test_utils.create_file(workspace=workspace,
file_size=24564165456.0)
manifest_a = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-a',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {
'files': [],
'json': []
},
'outputs': {
'files': [{
'name': 'output_a',
'pattern': '*.png'
}]
}
}
}
}
job_type_a = job_test_utils.create_job_type(interface=manifest_a)
output_data_a = Data()
output_data_a.add_value(FileValue('output_a', [file_1.id]))
output_data_a_dict = convert_data_to_v6_json(output_data_a).get_dict()
manifest_b = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-b',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {
'files': [],
'json': []
},
'outputs': {
'files': [{
'name': 'output_b',
'pattern': '*.png',
'multiple': True
}]
}
}
}
}
job_type_b = job_test_utils.create_job_type(interface=manifest_b)
output_data_b = Data()
output_data_b.add_value(
FileValue('output_b', [file_2.id, file_3.id, file_4.id]))
output_data_b_dict = convert_data_to_v6_json(output_data_b).get_dict()
job_a = job_test_utils.create_job(job_type=job_type_a,
num_exes=1,
status='COMPLETED',
output=output_data_a_dict)
job_b = job_test_utils.create_job(job_type=job_type_b,
num_exes=1,
status='COMPLETED',
output=output_data_b_dict)
sub_recipe_interface_c = Interface()
sub_recipe_interface_c.add_parameter(
FileParameter('input_a', ['image/png']))
sub_recipe_interface_c.add_parameter(
FileParameter('input_b', ['image/png'], multiple=True))
sub_recipe_def_c = RecipeDefinition(sub_recipe_interface_c)
sub_recipe_def_dict_c = convert_recipe_definition_to_v1_json(
sub_recipe_def_c).get_dict()
sub_recipe_type_c = recipe_test_utils.create_recipe_type(
definition=sub_recipe_def_dict_c)
sub_recipe_c = recipe_test_utils.create_recipe(
recipe_type=sub_recipe_type_c)
definition = RecipeDefinition(Interface())
definition.add_job_node('node_a', job_type_a.name, job_type_a.version,
job_type_a.revision_num)
definition.add_job_node('node_b', job_type_b.name, job_type_b.version,
job_type_b.revision_num)
definition.add_recipe_node('node_c', sub_recipe_type_c.name,
sub_recipe_type_c.revision_num)
definition.add_dependency('node_c', 'node_a')
definition.add_dependency_input_connection('node_c', 'input_a',
'node_a', 'output_a')
definition.add_dependency('node_c', 'node_b')
definition.add_dependency_input_connection('node_c', 'input_b',
'node_b', 'output_b')
def_dict = convert_recipe_definition_to_v6_json(definition).get_dict()
recipe_type = recipe_test_utils.create_recipe_type(definition=def_dict)
recipe_data_dict = {
'version': '1.0',
'input_data': [],
'workspace_id': workspace.id
}
recipe = recipe_test_utils.create_recipe(recipe_type=recipe_type,
input=recipe_data_dict)
recipe_node_a = recipe_test_utils.create_recipe_node(
recipe=recipe, node_name='node_a', job=job_a)
recipe_node_b = recipe_test_utils.create_recipe_node(
recipe=recipe, node_name='node_b', job=job_b)
recipe_node_c = recipe_test_utils.create_recipe_node(
recipe=recipe, node_name='node_c', sub_recipe=sub_recipe_c)
RecipeNode.objects.bulk_create(
[recipe_node_a, recipe_node_b, recipe_node_c])
job_a.recipe = recipe
job_a.save()
job_b.recipe = recipe
job_b.save()
sub_recipe_c.recipe = recipe
sub_recipe_c.save()
# Create message
message = ProcessRecipeInput()
message.recipe_id = sub_recipe_c.id
# Execute message
result = message.execute()
self.assertTrue(result)
sub_recipe_c = Recipe.objects.get(id=sub_recipe_c.id)
# Check for update_recipes message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'update_recipes')
# Check sub-recipe for expected input_file_size
self.assertEqual(sub_recipe_c.input_file_size, 24469.0)
# Check sub-recipe for expected input data
self.assertEqual(
sub_recipe_c.input['version'],
'1.0') # Should be legacy input data with workspace ID
self.assertEqual(sub_recipe_c.input['workspace_id'], workspace.id)
self.assertSetEqual(set(sub_recipe_c.get_input_data().values.keys()),
{'input_a', 'input_b'})
self.assertListEqual(
sub_recipe_c.get_input_data().values['input_a'].file_ids,
[file_1.id])
self.assertListEqual(
sub_recipe_c.get_input_data().values['input_b'].file_ids,
[file_2.id, file_3.id, file_4.id])
# Make sure sub-recipe input file models are created
input_files = RecipeInputFile.objects.filter(recipe_id=sub_recipe_c.id)
self.assertEqual(len(input_files), 4)
file_ids = {input_file.input_file_id for input_file in input_files}
self.assertSetEqual(file_ids,
{file_1.id, file_2.id, file_3.id, file_4.id})
# Test executing message again
message_json_dict = message.to_json()
message = ProcessRecipeInput.from_json(message_json_dict)
result = message.execute()
self.assertTrue(result)
# Still should have update_recipes message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'update_recipes')
# Make sure recipe input file models are unchanged
input_files = RecipeInputFile.objects.filter(recipe_id=sub_recipe_c.id)
self.assertEqual(len(input_files), 4)
def test_set_force_reprocess(self):
"""Tests calling RecipeDiff.set_force_reprocess()"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_job_node('E', 'job_type_4', '1.0', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('C', 'D')
definition_1.add_dependency('C', 'E')
definition_1.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_1.add_dependency_input_connection('E', 'e_input_1', 'C',
'c_output_1')
# No changes in definition 2
definition_2 = RecipeDefinition(interface_2)
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('B', 'job_type_2', '2.0', 1)
definition_2.add_job_node('C', 'job_type_3', '1.0', 2)
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_job_node('E', 'job_type_4', '1.0', 1)
definition_2.add_dependency('A', 'B')
definition_2.add_dependency('A', 'C')
definition_2.add_dependency('C', 'D')
definition_2.add_dependency('C', 'E')
definition_2.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_2.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_2.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_2.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2.add_dependency_input_connection('E', 'e_input_1', 'C',
'c_output_1')
recipe_d_forced_nodes = ForcedNodes()
recipe_d_forced_nodes.add_node('1')
recipe_d_forced_nodes.add_node('2')
top_forced_nodes = ForcedNodes()
top_forced_nodes.add_node('C')
top_forced_nodes.add_subrecipe('D', recipe_d_forced_nodes)
diff = RecipeDiff(definition_1, definition_2)
diff.set_force_reprocess(top_forced_nodes)
# No recipe input changes so recipe can be reprocessed
self.assertTrue(diff.can_be_reprocessed)
self.assertListEqual(diff.reasons, [])
# Check each node for correct fields
node_a = diff.graph['A']
self.assertEqual(node_a.status, NodeDiff.UNCHANGED)
self.assertFalse(node_a.reprocess_new_node)
self.assertListEqual(node_a.changes, [])
node_b = diff.graph['B']
self.assertEqual(node_b.status, NodeDiff.UNCHANGED)
self.assertFalse(node_b.reprocess_new_node)
self.assertListEqual(node_b.changes, [])
node_c = diff.graph['C']
self.assertEqual(node_c.status, NodeDiff.UNCHANGED)
self.assertTrue(node_c.reprocess_new_node) # Force reprocess
self.assertListEqual(node_c.changes, [])
node_d = diff.graph['D']
self.assertEqual(node_d.status, NodeDiff.UNCHANGED)
self.assertTrue(node_d.reprocess_new_node) # Force reprocess
self.assertListEqual(node_d.changes, [])
# Check forced nodes object that got passed to recipe node D
self.assertEqual(node_d.force_reprocess_nodes, recipe_d_forced_nodes)
node_e = diff.graph['E']
self.assertEqual(node_e.status, NodeDiff.UNCHANGED)
self.assertTrue(
node_e.reprocess_new_node) # Force reprocess due to C being forced
self.assertListEqual(node_e.changes, [])
# Check nodes to copy, supersede, and unpublish
self.assertSetEqual(set(diff.get_nodes_to_copy().keys()), {'A', 'B'})
self.assertSetEqual(set(diff.get_nodes_to_supersede().keys()),
{'C', 'D', 'E'})
self.assertSetEqual(set(diff.get_nodes_to_unpublish().keys()), set())
def test_init_changes_in_middle_of_chains(self):
"""Tests creating a RecipeDiff where nodes are deleted from and inserted into the middle of a chain"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('C', 'D')
definition_1.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2 = RecipeDefinition(interface_2)
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('B', 'job_type_2', '2.0', 1)
# Node C is deleted
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_job_node('E', 'job_type_4', '5.0',
2) # New node inbetween A and B
definition_2.add_dependency('A', 'E')
definition_2.add_dependency('E', 'B')
definition_2.add_dependency('A', 'D')
definition_2.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_2.add_dependency_input_connection('E', 'e_input_1', 'A',
'a_output_1')
definition_2.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'A',
'a_output_2')
definition_2.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
diff = RecipeDiff(definition_1, definition_2)
# No recipe input changes so recipe can be reprocessed
self.assertTrue(diff.can_be_reprocessed)
self.assertListEqual(diff.reasons, [])
# Check each node for correct fields
node_a = diff.graph['A']
self.assertEqual(node_a.status, NodeDiff.UNCHANGED)
self.assertFalse(node_a.reprocess_new_node)
self.assertListEqual(node_a.changes, [])
node_b = diff.graph['B']
self.assertEqual(node_b.status, NodeDiff.CHANGED)
self.assertTrue(node_b.reprocess_new_node)
self.assertEqual(len(node_b.changes), 2)
self.assertEqual(node_b.changes[0].name, 'PARENT_NEW')
self.assertEqual(node_b.changes[1].name, 'PARENT_REMOVED')
node_c = diff.graph['C']
self.assertEqual(node_c.status, NodeDiff.DELETED)
self.assertFalse(node_c.reprocess_new_node)
self.assertListEqual(node_c.changes, [])
node_d = diff.graph['D']
self.assertEqual(node_d.status, NodeDiff.CHANGED)
self.assertTrue(node_d.reprocess_new_node)
self.assertEqual(len(node_d.changes), 3)
self.assertEqual(node_d.changes[0].name, 'PARENT_NEW')
self.assertEqual(node_d.changes[1].name, 'PARENT_REMOVED')
self.assertEqual(node_d.changes[2].name, 'INPUT_CHANGE')
node_e = diff.graph['E']
self.assertEqual(node_e.status, NodeDiff.NEW)
self.assertTrue(node_e.reprocess_new_node)
self.assertListEqual(node_e.changes, [])
# Check nodes to copy, supersede, and unpublish
self.assertSetEqual(set(diff.get_nodes_to_copy().keys()), {'A'})
self.assertSetEqual(set(diff.get_nodes_to_supersede().keys()),
{'B', 'C', 'D'})
self.assertSetEqual(set(diff.get_nodes_to_unpublish().keys()), {'C'})
def test_init_identical(self):
"""Tests creating a RecipeDiff between two identical recipe definitions"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('C', 'D')
definition_1.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2 = RecipeDefinition(interface_2)
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('B', 'job_type_2', '2.0', 1)
definition_2.add_job_node('C', 'job_type_3', '1.0', 2)
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_dependency('A', 'B')
definition_2.add_dependency('A', 'C')
definition_2.add_dependency('C', 'D')
definition_2.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_2.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_2.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_2.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
diff = RecipeDiff(definition_1, definition_2)
self.assertTrue(diff.can_be_reprocessed)
self.assertListEqual(diff.reasons, [])
# Every node should be unchanged and all should be copied during a reprocess
nodes_to_copy = diff.get_nodes_to_copy()
self.assertSetEqual(set(nodes_to_copy.keys()), {'A', 'B', 'C', 'D'})
for node_diff in nodes_to_copy.values():
self.assertEqual(node_diff.status, NodeDiff.UNCHANGED)
self.assertFalse(node_diff.reprocess_new_node)
self.assertListEqual(node_diff.changes, [])
self.assertDictEqual(diff.get_nodes_to_supersede(), {})
self.assertDictEqual(diff.get_nodes_to_unpublish(), {})
def test_init_changes(self):
"""Tests creating a RecipeDiff when the newer definition has a variety of changes in it"""
interface_1 = Interface()
interface_1.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_1.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2 = Interface()
interface_2.add_parameter(FileParameter('file_param_1', ['image/gif']))
interface_2.add_parameter(JsonParameter('json_param_1', 'object'))
interface_2.add_parameter(
JsonParameter('json_param_2', 'object', required=False))
definition_1 = RecipeDefinition(interface_1)
definition_1.add_job_node('A', 'job_type_1', '1.0', 1)
definition_1.add_job_node('B', 'job_type_2', '2.0', 1)
definition_1.add_job_node('C', 'job_type_3', '1.0', 2)
definition_1.add_recipe_node('D', 'recipe_type_1', 1)
definition_1.add_job_node('E', 'job_type_4', '1.0', 1)
definition_1.add_dependency('A', 'B')
definition_1.add_dependency('A', 'C')
definition_1.add_dependency('B', 'E')
definition_1.add_dependency('C', 'D')
definition_1.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_1.add_dependency_input_connection('B', 'b_input_1', 'A',
'a_output_1')
definition_1.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_1.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_1.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2 = RecipeDefinition(interface_2)
# Nodes B and E are deleted
definition_2.add_job_node('A', 'job_type_1', '1.0', 1)
definition_2.add_job_node('C', 'job_type_3', '2.1',
1) # Change to job type version and revision
definition_2.add_recipe_node('D', 'recipe_type_1', 1)
definition_2.add_recipe_node('F', 'recipe_type_2', 5) # New node
definition_2.add_dependency('A', 'C')
definition_2.add_dependency('C', 'D')
definition_2.add_dependency('D', 'F')
definition_2.add_recipe_input_connection('A', 'input_1',
'file_param_1')
definition_2.add_dependency_input_connection('C', 'c_input_1', 'A',
'a_output_2')
definition_2.add_dependency_input_connection('D', 'd_input_1', 'C',
'c_output_1')
definition_2.add_recipe_input_connection('D', 'd_input_2',
'json_param_1')
definition_2.add_recipe_input_connection('F', 'f_input_1',
'json_param_2')
diff = RecipeDiff(definition_1, definition_2)
# Non-breaking recipe input changes so recipe can be reprocessed
self.assertTrue(diff.can_be_reprocessed)
self.assertListEqual(diff.reasons, [])
# Check each node for correct fields
node_a = diff.graph['A']
self.assertEqual(node_a.status, NodeDiff.UNCHANGED)
self.assertFalse(node_a.reprocess_new_node)
self.assertListEqual(node_a.changes, [])
node_b = diff.graph['B']
self.assertEqual(node_b.status, NodeDiff.DELETED)
self.assertFalse(node_b.reprocess_new_node)
self.assertListEqual(node_b.changes, [])
node_c = diff.graph['C']
self.assertEqual(node_c.status, NodeDiff.CHANGED)
self.assertTrue(node_c.reprocess_new_node)
self.assertEqual(len(node_c.changes), 2)
self.assertEqual(node_c.changes[0].name, 'JOB_TYPE_VERSION_CHANGE')
self.assertEqual(node_c.changes[1].name, 'JOB_TYPE_REVISION_CHANGE')
node_d = diff.graph['D']
self.assertEqual(node_d.status, NodeDiff.CHANGED)
self.assertTrue(node_d.reprocess_new_node)
self.assertEqual(len(node_d.changes), 1)
self.assertEqual(node_d.changes[0].name, 'PARENT_CHANGED')
node_e = diff.graph['E']
self.assertEqual(node_e.status, NodeDiff.DELETED)
self.assertFalse(node_e.reprocess_new_node)
self.assertListEqual(node_e.changes, [])
node_f = diff.graph['F']
self.assertEqual(node_f.status, NodeDiff.NEW)
self.assertTrue(node_f.reprocess_new_node)
self.assertListEqual(node_f.changes, [])
# Check nodes to copy, supersede, and unpublish
self.assertSetEqual(set(diff.get_nodes_to_copy().keys()), {'A'})
self.assertSetEqual(set(diff.get_nodes_to_supersede().keys()),
{'B', 'C', 'D', 'E'})
self.assertSetEqual(set(diff.get_nodes_to_unpublish().keys()),
{'B', 'E'})
def test_execute_with_recipe_legacy(self):
"""Tests calling ProcessJobInput.execute() successfully when a legacy job has to get its data from its recipe"""
workspace = storage_test_utils.create_workspace()
file_1 = storage_test_utils.create_file(workspace=workspace,
file_size=104857600.0)
file_2 = storage_test_utils.create_file(workspace=workspace,
file_size=987654321.0)
file_3 = storage_test_utils.create_file(workspace=workspace,
file_size=65456.0)
file_4 = storage_test_utils.create_file(workspace=workspace,
file_size=24564165456.0)
interface_1 = {
'version':
'1.0',
'command':
'my_command',
'command_arguments':
'args',
'input_data': [],
'output_data': [{
'name': 'Output 1',
'type': 'files',
'media_type': 'image/png',
}]
}
job_type_1 = job_test_utils.create_job_type(interface=interface_1)
interface_2 = {
'version':
'1.0',
'command':
'my_command',
'command_arguments':
'args',
'input_data': [{
'name': 'Input 1',
'type': 'files',
'media_types': ['image/png'],
}],
'output_data': [{
'name': 'New Output 1',
'type': 'files',
'media_type': 'image/png',
}]
}
job_type_2 = job_test_utils.create_job_type(interface=interface_2)
output_dict = {
'version':
'1.0',
'output_data': [{
'name':
'Output 1',
'file_ids': [file_1.id, file_2.id, file_3.id, file_4.id]
}]
}
job_1 = job_test_utils.create_job(job_type=job_type_1,
num_exes=1,
status='COMPLETED',
output=output_dict)
job_2 = job_test_utils.create_job(job_type=job_type_2,
num_exes=0,
status='PENDING',
input_file_size=None,
input=None)
from recipe.definition.definition import RecipeDefinition
from recipe.definition.json.definition_v1 import convert_recipe_definition_to_v1_json
from recipe.test import utils as recipe_test_utils
definition = RecipeDefinition(Interface())
definition.add_job_node('node_a', job_type_1.name, job_type_1.version,
job_type_1.revision_num)
definition.add_job_node('node_b', job_type_2.name, job_type_2.version,
job_type_2.revision_num)
definition.add_dependency('node_b', 'node_a')
definition.add_dependency_input_connection('node_b', 'Input 1',
'node_a', 'Output 1')
def_dict = convert_recipe_definition_to_v1_json(definition).get_dict()
recipe_type = recipe_test_utils.create_recipe_type(definition=def_dict)
recipe_data_dict = {
'version': '1.0',
'input_data': [],
'workspace_id': workspace.id
}
recipe = recipe_test_utils.create_recipe(recipe_type=recipe_type,
input=recipe_data_dict)
recipe_test_utils.create_recipe_job(recipe=recipe,
job_name='node_a',
job=job_1)
recipe_test_utils.create_recipe_job(recipe=recipe,
job_name='node_b',
job=job_2)
job_1.recipe = recipe
job_1.save()
job_2.recipe = recipe
job_2.save()
# Create message
message = ProcessJobInput()
message.job_id = job_2.id
# Execute message
result = message.execute()
self.assertTrue(result)
job_2 = Job.objects.get(id=job_2.id)
# Check for queued jobs message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'queued_jobs')
self.assertFalse(message.new_messages[0].requeue)
# Check job for expected input_file_size
self.assertEqual(job_2.input_file_size, 24469.0)
# Check job for expected output workspaces in job input data (legacy)
self.assertDictEqual(
job_2.input, {
'version':
'1.0',
'input_data': [{
'name':
'Input 1',
'file_ids': [file_1.id, file_2.id, file_3.id, file_4.id]
}],
'output_data': [{
'name': 'New Output 1',
'workspace_id': workspace.id
}]
})
# Make sure job input file models are created
job_input_files = JobInputFile.objects.filter(job_id=job_2.id)
self.assertEqual(len(job_input_files), 4)
file_ids = set()
for job_input_file in job_input_files:
self.assertEqual(job_input_file.job_input, 'Input 1')
file_ids.add(job_input_file.input_file_id)
self.assertSetEqual(file_ids,
{file_1.id, file_2.id, file_3.id, file_4.id})
# Test executing message again
message_json_dict = message.to_json()
message = ProcessJobInput.from_json(message_json_dict)
result = message.execute()
self.assertTrue(result)
# Still should have queued jobs message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'queued_jobs')
self.assertFalse(message.new_messages[0].requeue)
# Make sure job input file models are unchanged
job_input_files = JobInputFile.objects.filter(job_id=job_2.id)
self.assertEqual(len(job_input_files), 4)
def test_execute_with_recipe_missing_output(self):
"""Tests calling ProcessJobInput.execute() when a job has to get its data from its recipe but the previous job didn't provide it's output"""
workspace = storage_test_utils.create_workspace()
file_1 = storage_test_utils.create_file(workspace=workspace, file_size=104857600.0)
file_2 = storage_test_utils.create_file(workspace=workspace, file_size=987654321.0)
file_3 = storage_test_utils.create_file(workspace=workspace, file_size=65456.0)
file_4 = storage_test_utils.create_file(workspace=workspace, file_size=24564165456.0)
manifest_1 = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-a',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {'files': [], 'json': []},
'outputs': {
'files': [{'name': 'OUTPUT_A', 'pattern': '*.png'}]
}
}
}
}
job_type_1 = job_test_utils.create_seed_job_type(manifest=manifest_1)
manifest_2 = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-b',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {'files': [{'name': 'INPUT_B', 'multiple': True}]},
'outputs': {
'files': [{'name': 'OUTPUT_B', 'pattern': '*.png'}]
}
}
}
}
job_type_2 = job_test_utils.create_seed_job_type(manifest=manifest_2)
output_dict = {
'version': '1.0',
'output_data': [{
}]
}
job_1 = job_test_utils.create_job(job_type=job_type_1, num_exes=1, status='COMPLETED', output=output_dict)
job_2 = job_test_utils.create_job(job_type=job_type_2, num_exes=0, status='PENDING', input_file_size=None,
input=None)
from recipe.definition.definition import RecipeDefinition
from recipe.definition.json.definition_v1 import convert_recipe_definition_to_v1_json
from recipe.test import utils as recipe_test_utils
definition = RecipeDefinition(Interface())
definition.add_job_node('node_a', job_type_1.name, job_type_1.version, job_type_1.revision_num)
definition.add_job_node('node_b', job_type_2.name, job_type_2.version, job_type_2.revision_num)
definition.add_dependency('node_a', 'node_b')
definition.add_dependency_input_connection('node_b', 'INPUT_B', 'node_a', 'OUTPUT_A')
def_dict = convert_recipe_definition_to_v1_json(definition).get_dict()
recipe_type = recipe_test_utils.create_recipe_type_v6(definition=def_dict)
recipe_data_dict = {'version': '1.0', 'input_data': [], 'workspace_id': workspace.id}
recipe = recipe_test_utils.create_recipe(recipe_type=recipe_type, input=recipe_data_dict)
recipe_test_utils.create_recipe_job(recipe=recipe, job_name='node_a', job=job_1)
recipe_test_utils.create_recipe_job(recipe=recipe, job_name='node_b', job=job_2)
job_1.recipe = recipe
job_1.save()
job_2.recipe = recipe
job_2.save()
# Create message
message = ProcessJobInput()
message.job_id = job_2.id
# Execute message
result = message.execute()
self.assertTrue(result)
job_2 = Job.objects.get(id=job_2.id)
# Check for queued jobs message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'cancel_jobs')
def test_execute_with_recipe(self):
"""Tests calling ProcessJobInput.execute() successfully when a job has to get its data from its recipe"""
workspace = storage_test_utils.create_workspace()
file_1 = storage_test_utils.create_file(workspace=workspace, file_size=104857600.0)
file_2 = storage_test_utils.create_file(workspace=workspace, file_size=987654321.0)
file_3 = storage_test_utils.create_file(workspace=workspace, file_size=65456.0)
file_4 = storage_test_utils.create_file(workspace=workspace, file_size=24564165456.0)
manifest_1 = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-a',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {'files': [], 'json': []},
'outputs': {
'files': [{'name': 'OUTPUT_A', 'pattern': '*.png'}]
}
}
}
}
job_type_1 = job_test_utils.create_seed_job_type(manifest=manifest_1)
manifest_2 = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-b',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {'files': [{'name': 'INPUT_B', 'multiple': True}]},
'outputs': {
'files': [{'name': 'OUTPUT_B', 'pattern': '*.png'}]
}
}
}
}
job_type_2 = job_test_utils.create_seed_job_type(manifest=manifest_2)
output_dict = {
'version': '1.0',
'output_data': [{
'name': 'OUTPUT_A',
'file_ids': [file_1.id, file_2.id, file_3.id, file_4.id]
}]
}
job_1 = job_test_utils.create_job(job_type=job_type_1, num_exes=1, status='COMPLETED', output=output_dict)
job_2 = job_test_utils.create_job(job_type=job_type_2, num_exes=0, status='PENDING', input_file_size=None,
input=None)
from recipe.definition.definition import RecipeDefinition
from recipe.definition.json.definition_v1 import convert_recipe_definition_to_v1_json
from recipe.test import utils as recipe_test_utils
definition = RecipeDefinition(Interface())
definition.add_job_node('node_a', job_type_1.name, job_type_1.version, job_type_1.revision_num)
definition.add_job_node('node_b', job_type_2.name, job_type_2.version, job_type_2.revision_num)
definition.add_dependency('node_a', 'node_b')
definition.add_dependency_input_connection('node_b', 'INPUT_B', 'node_a', 'OUTPUT_A')
def_dict = convert_recipe_definition_to_v1_json(definition).get_dict()
recipe_type = recipe_test_utils.create_recipe_type_v6(definition=def_dict)
recipe_data_dict = {'version': '1.0', 'input_data': [], 'workspace_id': workspace.id}
recipe = recipe_test_utils.create_recipe(recipe_type=recipe_type, input=recipe_data_dict)
recipe_test_utils.create_recipe_job(recipe=recipe, job_name='node_a', job=job_1)
recipe_test_utils.create_recipe_job(recipe=recipe, job_name='node_b', job=job_2)
job_1.recipe = recipe
job_1.save()
job_2.recipe = recipe
job_2.save()
# Create message
message = ProcessJobInput()
message.job_id = job_2.id
# Execute message
result = message.execute()
self.assertTrue(result)
job_2 = Job.objects.get(id=job_2.id)
# Check for queued jobs message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'queued_jobs')
self.assertFalse(message.new_messages[0].requeue)
# Check job for expected input_file_size
self.assertEqual(job_2.input_file_size, 24469.0)
# Check job for expected input data
self.assertSetEqual(set(job_2.get_input_data().values.keys()), {'INPUT_B'})
self.assertListEqual(job_2.get_input_data().values['INPUT_B'].file_ids,
[file_1.id, file_2.id, file_3.id, file_4.id])
# Make sure job input file models are created
job_input_files = JobInputFile.objects.filter(job_id=job_2.id)
self.assertEqual(len(job_input_files), 4)
file_ids = set()
for job_input_file in job_input_files:
self.assertEqual(job_input_file.job_input, 'INPUT_B')
file_ids.add(job_input_file.input_file_id)
self.assertSetEqual(file_ids, {file_1.id, file_2.id, file_3.id, file_4.id})
# Test executing message again
message_json_dict = message.to_json()
message = ProcessJobInput.from_json(message_json_dict)
result = message.execute()
self.assertTrue(result)
# Still should have queued jobs message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'queued_jobs')
self.assertFalse(message.new_messages[0].requeue)
# Make sure job input file models are unchanged
job_input_files = JobInputFile.objects.filter(job_id=job_2.id)
self.assertEqual(len(job_input_files), 4)
def test_execute(self):
"""Tests calling ProcessCondition.execute() successfully"""
workspace = storage_test_utils.create_workspace()
file_1 = storage_test_utils.create_file(workspace=workspace,
file_size=104857600.0)
file_2 = storage_test_utils.create_file(workspace=workspace,
file_size=987654321.0)
file_3 = storage_test_utils.create_file(workspace=workspace,
file_size=65456.0)
file_4 = storage_test_utils.create_file(workspace=workspace,
file_size=24564165456.0)
manifest_1 = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-a',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {
'files': [],
'json': []
},
'outputs': {
'files': [{
'name': 'OUTPUT_A',
'pattern': '*.png',
'multiple': True
}]
}
}
}
}
job_type_1 = job_test_utils.create_job_type(interface=manifest_1)
manifest_2 = {
'seedVersion': '1.0.0',
'job': {
'name': 'job-b',
'jobVersion': '1.0.0',
'packageVersion': '1.0.0',
'title': '',
'description': '',
'maintainer': {
'name': 'John Doe',
'email': '*****@*****.**'
},
'timeout': 10,
'interface': {
'command': '',
'inputs': {
'files': []
},
'outputs': {
'files': [{
'name': 'OUTPUT_B',
'pattern': '*.png',
'multiple': True
}]
}
}
}
}
job_type_2 = job_test_utils.create_job_type(interface=manifest_2)
output_1_dict = {
'version':
'1.0',
'output_data': [{
'name': 'OUTPUT_A',
'file_ids': [file_1.id, file_2.id]
}]
}
output_2_dict = {
'version':
'1.0',
'output_data': [{
'name': 'OUTPUT_B',
'file_ids': [file_3.id, file_4.id]
}]
}
cond_interface = Interface()
cond_interface.add_parameter(
FileParameter('INPUT_C_1', [], multiple=True))
cond_interface.add_parameter(
FileParameter('INPUT_C_2', [], multiple=True))
definition = RecipeDefinition(Interface())
definition.add_job_node('node_a', job_type_1.name, job_type_1.version,
job_type_1.revision_num)
definition.add_job_node('node_b', job_type_2.name, job_type_2.version,
job_type_2.revision_num)
# TODO: once DataFilter is implemented, create a DataFilter object here that accepts the inputs
definition.add_condition_node('node_c', cond_interface,
DataFilter(True))
definition.add_dependency('node_a', 'node_c')
definition.add_dependency('node_b', 'node_c')
definition.add_dependency_input_connection('node_c', 'INPUT_C_1',
'node_a', 'OUTPUT_A')
definition.add_dependency_input_connection('node_c', 'INPUT_C_2',
'node_b', 'OUTPUT_B')
def_dict = convert_recipe_definition_to_v6_json(definition).get_dict()
recipe_type = recipe_test_utils.create_recipe_type(definition=def_dict)
recipe_data_dict = {
'version': '1.0',
'input_data': [],
'workspace_id': workspace.id
}
recipe = recipe_test_utils.create_recipe(recipe_type=recipe_type,
input=recipe_data_dict)
job_1 = job_test_utils.create_job(job_type=job_type_1,
num_exes=1,
status='COMPLETED',
output=output_1_dict,
recipe=recipe)
job_2 = job_test_utils.create_job(job_type=job_type_2,
num_exes=1,
status='COMPLETED',
output=output_2_dict,
recipe=recipe)
condition = recipe_test_utils.create_recipe_condition(recipe=recipe,
save=True)
node_a = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='node_a',
job=job_1,
save=False)
node_b = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='node_b',
job=job_2,
save=False)
node_c = recipe_test_utils.create_recipe_node(recipe=recipe,
node_name='node_c',
condition=condition,
save=False)
RecipeNode.objects.bulk_create([node_a, node_b, node_c])
# Create message
message = create_process_condition_messages([condition.id])[0]
# Execute message
result = message.execute()
self.assertTrue(result)
condition = RecipeCondition.objects.get(id=condition.id)
# Check for update_recipe message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'update_recipe')
self.assertEqual(message.new_messages[0].root_recipe_id, recipe.id)
# Check condition flags
self.assertTrue(condition.is_processed)
self.assertIsNotNone(condition.processed)
self.assertTrue(condition.is_accepted)
# Check condition for expected data
self.assertSetEqual(set(condition.get_data().values.keys()),
{'INPUT_C_1', 'INPUT_C_2'})
self.assertListEqual(condition.get_data().values['INPUT_C_1'].file_ids,
[file_1.id, file_2.id])
self.assertListEqual(condition.get_data().values['INPUT_C_2'].file_ids,
[file_3.id, file_4.id])
# Test executing message again
message_json_dict = message.to_json()
message = ProcessCondition.from_json(message_json_dict)
result = message.execute()
self.assertTrue(result)
# Still should have update_recipe message
self.assertEqual(len(message.new_messages), 1)
self.assertEqual(message.new_messages[0].type, 'update_recipe')
self.assertEqual(message.new_messages[0].root_recipe_id, recipe.id)
