Passing configuration for downstream assets

In Dagster, you can pass configuration values to assets at runtime, which is particularly useful for downstream assets that may depend on dynamic values or external parameters. According to the documentation, assets in Dagster can specify a config schema, allowing you to provide values to assets at runtime. This is done by defining a config model subclass of

Config

and specifying a

config

parameter for the asset's function. Here's an example from the documentation that demonstrates how to define and use configuration for a downstream asset:

python from dagster import Config, asset  @asset def my_upstream_asset() -> int:     return 5  class MyDownstreamAssetConfig(Config):     api_endpoint: str  @asset def my_downstream_asset(config: MyDownstreamAssetConfig, my_upstream_asset: int) -> int:     data = requests.get(f"{config.api_endpoint}/data").json()     return data["value"] + my_upstream_asset

In this example,

my_downstream_asset

is a downstream asset that depends on

my_upstream_asset

. The

MyDownstreamAssetConfig

class defines the configuration schema for

my_downstream_asset

, which includes an

api_endpoint

parameter. When materializing

my_downstream_asset

, you can provide the

api_endpoint

configuration value at runtime. When launching a job that materializes assets, you can provide run configuration for each entity. The provided run configuration values correspond to a configuration schema attached to the asset definition. Dagster validates the run configuration against the schema and proceeds only if validation is successful. If you have further questions or need assistance with a specific use case, feel free to ask!