How can I write a @graph_asset that depends on another upstream asset and uses the AssetExecutionContext. I get this for now:

"context" is not a valid name in Dagster. It conflicts with a Dagster or python reserved keyword.

Based on the documentation, when defining a

@graph_asset

, you should not use

context

as a parameter name because it conflicts with a reserved keyword in Dagster. However, it's important to note that

@graph_asset

is a composition function, and composition functions have specific semantics that do not align with the use of a context parameter. If you need to define a

@graph_asset

that depends on another upstream asset, you should specify the dependencies using the

deps

parameter without including a context parameter. Here's an example of how you might define such a dependency without using `context`:

python from dagster import graph_asset  @graph_asset def my_upstream_asset():     # ... define the upstream asset ...     pass  @graph_asset def my_graph_asset(my_upstream_asset):     # ... define the graph asset that depends on the upstream asset ...     pass

In this example,

my_graph_asset

depends on

my_upstream_asset

, and the dependency is declared by including

my_upstream_asset

as a parameter in the definition of

my_graph_asset

. If you need to access the

AssetExecutionContext

within an asset, you would typically do this within an

@asset

-decorated function, not within a

@graph_asset

. Here's an example of how you might use

AssetExecutionContext

within an `@asset`:

python from dagster import asset, AssetExecutionContext  @asset def my_asset(context: AssetExecutionContext):     # ... use the context to access loggers, resources, etc. ...     pass

Remember that

@graph_asset

is used to compose assets and define their dependencies, and it does not perform computation itself. If you need to perform computation and access execution context, you should use

@asset

instead.