Flyte enables production-grade orchestration for machine learning workflows and data processing created to accelerate local workflows to production.

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Hi Flyte community, does anyone know how to use conditionals within an imperative workflow?

Can you provide an example of what you'd like to achieve? The docs should cover what can be done, but I have also struggled w/ conditionals in the past - <https://docs.flyte.org/en/latest/user_guide/advanced_composition/conditionals.html>

just implement a simple condition in an imperative workflow
the method *create_conditional* seems to be buggy 
also the *then* methods of *ConditionalSection* expects a Promise
which is somewhat tricky when you have the tasks used in the then method return None

I think I understand flytes’ internals quite well and I can’t see how anyone could have used this functionality

just note that adding a task in imperative workflow
wf.add_task(task=my_task,  **my args)
returns a node rather than a Promise

conditionals aren't supported in imperative workflows.

I think I’ve found a way to do it

```wf_ctx_builder = FlyteContext.current_context().with_compilation_state(wf.compilation_state)
        with FlyteContextManager.with_context(b=wf_ctx_builder):
            some_task = some_task(*args1)
            cond = (
                conditional("conditional_execution")
                .if_(some_task.is_true())
                .then(other_task(*args2))
                .else_()
                .then(third_task(*args3)
            )```

other_task and third_task are to be defined using add_task or within the context

It works in fast mode, still need to check it in development