[dagster-fivetran] Support infer_missing_tables in FivetranWorkspace.…

…sync_and_poll

python_modules/libraries/dagster-fivetran/dagster_fivetran/resources.py

@@ -30,6 +30,7 @@
 from dagster._core.definitions.metadata.metadata_set import TableMetadataSet
 from dagster._core.definitions.metadata.table import TableColumn, TableSchema
 from dagster._core.definitions.resource_definition import dagster_maintained_resource
+from dagster._core.errors import DagsterStepOutputNotFoundError
 from dagster._core.utils import imap
 from dagster._record import as_dict, record
 from dagster._utils.cached_method import cached_method
@@ -64,11 +65,13 @@
 FIVETRAN_CONNECTOR_PATH = f"{FIVETRAN_CONNECTOR_ENDPOINT}/"
 
 DAGSTER_FIVETRAN_FETCH_COLUMN_METADATA_KEY = "dagster-fivetran/fetch_column_metadata"
-DEFAULT_MAX_THREADPOOL_WORKERS = 10
+DAGSTER_FIVETRAN_INFER_MISSING_TABLES_METADATA_KEY = "dagster-fivetran/infer_missing_tables"
 
 # default polling interval (in seconds)
 DEFAULT_POLL_INTERVAL = 10
 
+DEFAULT_MAX_THREADPOOL_WORKERS = 10
+
 FIVETRAN_RECONSTRUCTION_METADATA_KEY_PREFIX = "dagster-fivetran/reconstruction_metadata"
 
 
@@ -1038,6 +1041,9 @@ def sync_and_poll(
 
         # TODO: Add op tags to fivetran_assets decorator and build_fivetran_assets_definitions factory
         fetch_column_metadata = context.op.tags.get(DAGSTER_FIVETRAN_FETCH_COLUMN_METADATA_KEY)
+        infer_missing_tables = context.op.tags.get(
+            DAGSTER_FIVETRAN_INFER_MISSING_TABLES_METADATA_KEY
+        )
 
         connector_id = next(
             check.not_none(FivetranMetadataSet.extract(spec.metadata).connector_id)
@@ -1085,8 +1091,19 @@ def sync_and_poll(
                     yield materialization
 
             unmaterialized_asset_keys = context.selected_asset_keys - materialized_asset_keys
-            if unmaterialized_asset_keys:
-                context.log.warning(f"Assets were not materialized: {unmaterialized_asset_keys}")
+            if infer_missing_tables:
+                for asset_key in unmaterialized_asset_keys:
+                    yield Output(value=None, output_name=asset_key.to_python_identifier())
+            else:
+                if unmaterialized_asset_keys:
+                    asset_key = next(iter(unmaterialized_asset_keys))
+                    output_name = "_".join(asset_key.path)
+                    raise DagsterStepOutputNotFoundError(
+                        f"Core compute for {context.op_def.name} did not return an output for"
+                        f' non-optional output "{output_name}".',
+                        step_key=context.get_step_execution_context().step.key,
+                        output_name=output_name,
+                    )
 
     def _fetch_and_attach_col_metadata(
         self, connector_id: str, materialization: AssetMaterialization