mount all apps in container

apps/other/src/assets.py

@@ -1,3 +1,4 @@
+import pandas as pd
 import polars as pl
 
 from dagster import (
@@ -22,6 +23,16 @@ partitions_def_multi = MultiPartitionsDefinition(
 )
 
 
+@asset(
+    # tags={
+    #     "dagster/executor": "other_executor"
+    # },
+)
+def dummy_asset():
+    """A dummy asset to ensure the module is recognized by Dagster."""
+    return pd.DataFrame({"dummy": [1, 2, 3]})
+
+
 @asset(
     io_manager_key="polars_parquet_io_manager",
     partitions_def=partitions_def_single,

apps/other/src/definitions.py

@@ -1,13 +1,22 @@
-from assets import asset_multi_1, asset_multi_2, asset_single_1, asset_single_2
+import assets
 from dagster_polars import PolarsParquetIOManager
 
-from dagster import Definitions, define_asset_job
+from dagster import Definitions, load_assets_from_modules
 
 # Define a job that includes both assets
-daily_job = define_asset_job("daily_job", selection=[asset_multi_1, asset_multi_2])
+# daily_job = define_asset_job("daily_job", selection=[dummy_asset, asset_multi_1, asset_multi_2])
 
 definitions = Definitions(
-    assets=[asset_single_1, asset_multi_1, asset_single_2, asset_multi_2],
+    assets=load_assets_from_modules([assets]),
+    # [dummy_asset],  # , asset_single_1, asset_multi_1, asset_single_2, asset_multi_2],
     resources={"polars_parquet_io_manager": PolarsParquetIOManager()},
-    jobs=[daily_job],
+    # jobs=[daily_job],
+    # executor=docker_executor.configured({"container_kwargs": {
+    #     "volumes": [
+    #         "/opt/dagster/apps/other/src/:/opt/dagster/home/app/",
+    #         "/opt/dagster/storage/:/storage/"
+    #     ]
+    # }
+    # }
+    # )
 )