def required_input_steps(workflow_path):
steps = inputs_normalized(workflow_path=workflow_path)
required_steps = []
for input_step in steps:
if input_step.get("optional", False) or input_step.get("default"):
continue
required_steps.append(input_step)
return required_steps
def input_labels(workflow_path):
"""Get normalized labels for workflow artifact regardless of format."""
steps = inputs_normalized(workflow_path=workflow_path)
labels = []
for step in steps:
step_id = input_label(step)
if step_id:
labels.append(step_id)
return labels
def required_input_steps(workflow_path):
try:
steps = inputs_normalized(workflow_path=workflow_path)
except Exception:
raise Exception(
"Input workflow could not be successfully normalized - try linting with planemo workflow_lint."
)
required_steps = []
for input_step in steps:
if input_step.get("optional", False) or input_step.get("default"):
continue
required_steps.append(input_step)
return required_steps
def test_optional_inputs():
# Ensure normalized inputs can be used to check if inputs have defaults.
for workflow_dict in _both_formats(RANDOM_LINES_EXAMPLE):
steps = inputs_normalized(workflow_dict=workflow_dict)
assert steps[1]["type"] == "int"
assert steps[1]["default"] == 3