getting:

ExperimentalWarning: "resource_defs" is an experimental argument to function "asset". It may break in futur
e versions, even between dot releases. To mute warnings for experimental functionality, invoke warnings.filterwarnings("ignore", category=dagster.ExperimentalWarning) or use one of the other methods described at <https://docs.python>.
org/3/library/warnings.html#describing-warning-filters.

i'm trying to give an io manager to my asset; kinda confused about this: the io manager uploads a parquet file into s3. so what other way would i be able to do this with an asset if not through a resource def like so:

# ----------------------------------------------- VARS ----------------------------------------------- #
RESOURCE_DEFS = {"io_df_to_s3": common_io_df_to_s3,
                 }
# ----------------------------------------------- JOB ----------------------------------------------- #

@asset(resource_defs={**RESOURCE_DEFS}, io_manager_key="io_df_to_s3")
def beg_inv_excel_to_s3():
	# INTO S3:
	BUCKET = "my_bucket/"
	FILE_PATH = "my_path/"
	FILE_FORMAT = 'PARQUET'
	FILE_NAME = 'my_excel_file'
	FILE_NAME = f"{FILE_NAME}.{FILE_FORMAT.lower()}"
	EXCEL_FILE = r'L:my_excel_file.xlsx'
	EXCEL_SHEET = r'my_sheet'

	excel_data = pl.read_excel(file=EXCEL_FILE, sheet_name=EXCEL_SHEET)
	return {"file_name": FILE_NAME, "file_path": BUCKET + FILE_PATH, "polars_dataframe": excel_data}

the non-experimental way would be

@asset(required_resource_keys={"api"})
def beg_inv_excel_to_s3():

and then thread it in using

with_resources

with_resources(
    definitions=[beg_inv_excel_to_s3],
    resource_defs={"api": foo_resource},
)

or directly apply it on definition level:

defs = Definitions(
    assets=[asset_requires_resource],
    resources={"foo": foo_resource},
)