Hey, Is it possible to see all the configs available for a DAG? For example, I want to see all possible `last_run`config options. When I pass the config (in green), the DAG is nice to tell me which

last_run

is being used and its reflected by the function getting used

_with_filter_run_date

. However, for documentation purposes, how would you suggest amending so that all

last_run

config options are visible in the DAG? Is this possible?

@extract_fields({
    "child_process_run_id": int,
    "child_process_completed_at": pd.Timestamp,
})
@pipe_input(
    step(_filter_run_bom).when(last_run="bom"),
    step(_filter_run_latest).when(last_run="last"),
    step(_filter_run_date, completion_date=source("completion_date")).when(last_run="completion_date"),
)
def child_process_run_info(
    child_process_runs: pd.DataFrame, 
    child_rec_process_code: str, 
    completion_date: Optional[str] = None
) -> Dict[int, pd.Timestamp]:
    """Return run id for process from `last_run` logic."""

Slack Conversation

We haven't officially built anything to expose this.

Ok thanks sir, will do

Not in parallel. Yes try the multithreading one

Ok thanks. So if I’m debugging something I should use the Synchronous one since it might be more compatible with the PdbDebugger hook? IIRC, it wasnt compatible for something to do with parallelism? Do you happen to know what I’m remembering? Hah

🤔 yes maybe? Sounds plausible.