Hi ObedientDolphin41 ! Python allows you to decorate functions dynamically. See this example:
` from clearml.automation.controller import PipelineDecorator

@PipelineDecorator.component(repo=" ", repo_branch="master")
def step_one():
print('step_one')
return 1

def step_two_dynamic_decorator(repo=" ", repo_branch="master"):
@PipelineDecorator.component(repo=repo, repo_branch=repo_branch)
def step_two(arg):
print("step_two")
return arg
return step_two

@PipelineDecorator.pipeline(name='custom pipeline logic', project='examples', version='0.0.5')
def executing_pipeline():
result = step_one()
result = step_two_dynamic_decorator(repo=" ", repo_branch="2.2.2")(result)
print(result)

if name == 'main':
PipelineDecorator.run_locally()
executing_pipeline()
print('process completed') `