Do not require input value for start_new, call_activity, etc about azure-functions-durable-python HOT 3 CLOSED

        self.call_activity = lambda n, i=None: call_activity_task(
            state=self.histories,
            name=n,
            input_=i)
        self.call_activity_with_retry = \
            lambda n, o, i=None: call_activity_with_retry_task(
                state=self.histories,
                retry_options=o,
                name=n,

def main(name: str="Bob") -> str:
    """Activity function performing a specific step in the chain
    
    Parameters
    ----------
    name : str
        Name of the item to be hello'ed at 
    
    Returns
    -------
    str
        Returns a welcome string
    """
    return f'Hello : {name}!'

import logging

import azure.functions as func
import azure.durable_functions as df


def orchestrator_function(context: df.DurableOrchestrationContext):
    """This function provides the core function chaining orchestration logic

    Parameters
    ----------
    context: DurableOrchestrationContext
        This context has the past history
        and the durable orchestration API's to chain a set of functions

    Returns
    -------
    final_result: str
        Returns the final result after the chain completes

    Yields
    -------
    call_activity: str
        Yields at every step of the function chain orchestration logic
    """

    # Chained functions - output of a function is passed as
    # input to the next function in the chain

   # Note, in this case, there's no actual chaining
    final_result = yield context.call_activity("DurableActivity")

    return final_result


main = df.Orchestrator.create(orchestrator_function)