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load_async

Asynchronously load a UDF from various sources.

await fused.load_async(
    url_or_udf: str | Path,
    /,
    *,
    cache_key: Any = None,
    import_globals: bool = True
) -> Udf

This is the async-optimized version of fused.load() that uses async HTTP requests to avoid blocking the event loop during UDF metadata fetching.

Parameters​

  • url_or_udf (str | Path) – A string representing the location of the UDF, or the raw code of the UDF.
  • cache_key (Any) – An optional key used for caching the loaded UDF.
  • import_globals (bool) – Expose the globals defined in the UDF's context as attributes on the UDF object.

Returns​

  • Udf – An instance of the loaded UDF.

Example​

import fused

# Load a UDF asynchronously
udf = await fused.load_async("username@fused.io/my_udf_name")

# Use in parameter validation
if not isinstance(udf, Udf):
    udf = await fused.load_async(udf)

See also​