def test_named_evaluation_workflow(harness):
"""Tests creating evaluations of a workflow that uses a named evaluation of a workflow.
"""
test_workflow = workflow_processor.get_workflow(harness, workflow_name='test_named_evaluation')
num_times = 10
evaluations = evaluation_test.test_make_evaluations(harness, test_workflow, count=num_times)
print 'Evaluations: '
print evaluations
print ''
print ''
print 'Getting the records for the evaluations: '
records = evaluation_test.test_get_evaluation_records(harness, evaluations)
print 'Records: '
print records
print ''
print ''
def test_custom_structure_workflow(harness):
"""Tests creating evaluations of a workflow that uses a named evaluation of a workflow.
"""
test_workflow = workflow_processor.get_workflow(harness, workflow_name='get_coordinate_multiple')
num_times = 10
evaluations = evaluation_test.test_make_evaluations(harness, test_workflow, count=num_times)
print 'Evaluations: '
print evaluations
print ''
print ''
print 'Getting the records for the evaluations: '
records = evaluation_test.test_get_evaluation_records(harness, evaluations)
print 'Records: '
print records
print ''
print ''
return records
def perform_fresh_filesystem_setup(profile='standard'):
"""Test function to blow away all harness data and recreate from filesystem.
"""
profile_dictionary = get_profile_dictionary(profile=profile)
all_harnesses = reset_harnesses_with_components(profile=profile)
harness = all_harnesses[0]
print 'Test harness: '
print harness
print ''
print ''
components = component_processor.get_all_components(harness['database'])
print 'Components:'
print components
print ''
print ''
component = components[0]
print 'Test component: '
print component
print ''
print ''
print 'all functions before entry: '
print function_processor.get_current_functions(harness)
print ''
print ''
function_getter = function_processor.get_functions_for_component_closure(harness, profile=profile, scope='internal')
for component in components:
functions = function_getter(component)
print 'functions: '
print functions
print ''
print ''
function_adder = component_processor.add_functions_to_component_closure(harness, source='database', profile=profile)
components = map(function_adder, components)
print 'updated components: '
print components
print ''
print ''
print ''
print 'Setting up structures: '
add_parameters_to_test_harness(profile, harness=harness, dictionary=profile_dictionary)
print ''
print ''
print ''
print 'Setting up the test workflows: '
test_workflow_setup(harness, profile=profile)
test_workflow = workflow_test.test_get_workflow(harness, workflow_name='test_chained')
print 'The test workflow: '
print test_workflow
print ''
print ''
print 'Testing evaluation of workflow multiple times: '
number_times = 10
evaluations = evaluation_test.test_make_evaluations(harness, test_workflow, count=number_times)
print 'Evaluations: '
print evaluations
print ''
print ''
print 'Getting the records for the evaluations: '
records = evaluation_test.test_get_evaluation_records(harness, evaluations)
print 'Records: '
print records
print ''
print ''
print 'Adding a name to one of the evaluations to test: '
evaluation = evaluation_test.test_add_evaluation_name(harness, test_workflow, 'starred_evaluation')
print 'Evaluation: '
print evaluation
print ''
print ''
print 'Testing evaluation of a workflow that is dependent on the last evaluation of another workflow: '
workflow_test.test_last_evaluation_workflow(harness)
print ''
print ''
print 'Testing evaluation of a workflow that is dependent on a named evaluation: '
workflow_test.test_named_evaluation_workflow(harness)
print ''
print ''
print 'Testing an evaluation with a custom structure: '
test_records = workflow_test.test_custom_structure_workflow(harness)
print ''
print ''
return test_records
