Hey there, I have a package I've developed that contains a module which exposes most of the functionality of the package wrapped as FunctionTasks. Its not clear to me how I can add retries to a task that was not defined with the

@task

decorator when mapping:

import culvert.tasks as ct

with Flow("some flow") as f:
   <some other task>
   copy_batches_local = ct.copy_batch_local.map(
        src_conn_str=unmapped(src_conn_str),
        batch_range=create_batches,
        src_table=unmapped(src_table),
        split_by=unmapped(split_by),
        data_path=unmapped(data_path),
        task_args={"max_retries": 3},
    )

TypeError: got an unexpected keyword argument 'task_args'

Also tried:

copy_batches_local = ct.copy_batch_local(task_args={"max_retries": 3}).map(
        src_conn_str=unmapped(src_conn_str),
        batch_range=create_batches,
        src_table=unmapped(src_table),
        split_by=unmapped(split_by),
        data_path=unmapped(data_path),
    )

TypeError: missing a required argument: 'src_conn_str'

Is there a way to partially bind my ct.copy_batch_local task?

Hey @Jason Damiani, great question. You’re right,

task_args

isn’t exposed for mapping for the way it is for normal calls, but it should be! I’m going to open an issue to address that asap. In the meantime, that

task_args

keyword is actually just getting passed to a task copy statement, so you should be able to recreate it like this:

Awesome, thanks @Jeremiah

If it doesn’t let us know