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_definition_to_v1_json_empty(self):
"""Tests calling convert_recipe_definition_to_v1_json() with an empty definition"""
interface = Interface()
definition = RecipeDefinition(interface)
json = convert_recipe_definition_to_v1_json(definition)
RecipeDefinitionV1(definition=json.get_dict(),
do_validate=True) # Revalidate
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_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_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)
