[dagster-fivetran] Use Fivetran translator instance in load specs fn and state-backed defs

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

@@ -4,7 +4,7 @@
 import time
 from datetime import datetime, timedelta
 from functools import partial
-from typing import Any, Callable, Mapping, Optional, Sequence, Tuple, Type, Union
+from typing import Any, Callable, Mapping, Optional, Sequence, Tuple, Union
 from urllib.parse import urljoin
 
 import requests
@@ -924,10 +924,9 @@ def load_asset_specs(
                 fivetran_specs = fivetran_workspace.load_asset_specs()
                 defs = dg.Definitions(assets=[*fivetran_specs], resources={"fivetran": fivetran_workspace}
         """
-        dagster_fivetran_translator = dagster_fivetran_translator or DagsterFivetranTranslator()
-
         return load_fivetran_asset_specs(
-            workspace=self, dagster_fivetran_translator=dagster_fivetran_translator.__class__
+            workspace=self,
+            dagster_fivetran_translator=dagster_fivetran_translator or DagsterFivetranTranslator(),
         )
 
     def sync_and_poll(
@@ -939,14 +938,15 @@ def sync_and_poll(
 @experimental
 def load_fivetran_asset_specs(
     workspace: FivetranWorkspace,
-    dagster_fivetran_translator: Type[DagsterFivetranTranslator] = DagsterFivetranTranslator,
+    dagster_fivetran_translator: Optional[DagsterFivetranTranslator] = None,
 ) -> Sequence[AssetSpec]:
     """Returns a list of AssetSpecs representing the Fivetran content in the workspace.
 
     Args:
         workspace (FivetranWorkspace): The Fivetran workspace to fetch assets from.
-        dagster_fivetran_translator (Type[DagsterFivetranTranslator]): The translator to use
-            to convert Fivetran content into AssetSpecs. Defaults to DagsterFivetranTranslator.
+        dagster_fivetran_translator (Optional[DagsterFivetranTranslator], optional): The translator to use
+            to convert Fivetran content into :py:class:`dagster.AssetSpec`.
+            Defaults to :py:class:`DagsterFivetranTranslator`.
 
     Returns:
         List[AssetSpec]: The set of assets representing the Fivetran content in the workspace.
@@ -972,7 +972,7 @@ def load_fivetran_asset_specs(
         return check.is_list(
             FivetranWorkspaceDefsLoader(
                 workspace=initialized_workspace,
-                translator_cls=dagster_fivetran_translator,
+                translator=dagster_fivetran_translator or DagsterFivetranTranslator(),
             )
             .build_defs()
             .assets,
@@ -983,7 +983,7 @@ def load_fivetran_asset_specs(
 @record
 class FivetranWorkspaceDefsLoader(StateBackedDefinitionsLoader[Mapping[str, Any]]):
     workspace: FivetranWorkspace
-    translator_cls: Type[DagsterFivetranTranslator]
+    translator: DagsterFivetranTranslator
 
     @property
     def defs_key(self) -> str:
@@ -993,10 +993,8 @@ def fetch_state(self) -> FivetranWorkspaceData:
         return self.workspace.fetch_fivetran_workspace_data()
 
     def defs_from_state(self, state: FivetranWorkspaceData) -> Definitions:
-        translator = self.translator_cls()
-
         all_asset_specs = [
-            translator.get_asset_spec(props)
+            self.translator.get_asset_spec(props)
             for props in state.to_fivetran_connector_table_props_data()
         ]
 

python_modules/libraries/dagster-fivetran/dagster_fivetran_tests/experimental/test_asset_specs.py

@@ -1,7 +1,13 @@
 import responses
 from dagster._config.field_utils import EnvVar
+from dagster._core.definitions.asset_spec import AssetSpec
 from dagster._core.test_utils import environ
-from dagster_fivetran import FivetranWorkspace, load_fivetran_asset_specs
+from dagster_fivetran import (
+    DagsterFivetranTranslator,
+    FivetranConnectorTableProps,
+    FivetranWorkspace,
+    load_fivetran_asset_specs,
+)
 from dagster_fivetran.asset_defs import build_fivetran_assets_definitions
 from dagster_fivetran.translator import FivetranMetadataSet
 
@@ -112,3 +118,37 @@ def test_cached_load_spec_with_asset_factory(
         # then load_fivetran_asset_specs is called once per connector ID in fivetran_assets
         build_fivetran_assets_definitions(workspace=resource)
         assert len(fetch_workspace_data_api_mocks.calls) == 4
+
+
+class MyCustomTranslator(DagsterFivetranTranslator):
+    def get_asset_spec(self, data: FivetranConnectorTableProps) -> AssetSpec:
+        default_spec = super().get_asset_spec(data)
+        return default_spec.replace_attributes(
+            key=default_spec.key.with_prefix("prefix"),
+            metadata={**default_spec.metadata, "custom": "metadata"},
+        )
+
+
+def test_translator_custom_metadata(
+    fetch_workspace_data_api_mocks: responses.RequestsMock,
+) -> None:
+    with environ({"FIVETRAN_API_KEY": TEST_API_KEY, "FIVETRAN_API_SECRET": TEST_API_SECRET}):
+        workspace = FivetranWorkspace(
+            account_id=TEST_ACCOUNT_ID,
+            api_key=EnvVar("FIVETRAN_API_KEY"),
+            api_secret=EnvVar("FIVETRAN_API_SECRET"),
+        )
+
+        all_asset_specs = load_fivetran_asset_specs(
+            workspace=workspace, dagster_fivetran_translator=MyCustomTranslator()
+        )
+        asset_spec = next(spec for spec in all_asset_specs)
+
+        assert "custom" in asset_spec.metadata
+        assert asset_spec.metadata["custom"] == "metadata"
+        assert asset_spec.key.path == [
+            "prefix",
+            "schema_name_in_destination_1",
+            "table_name_in_destination_1",
+        ]
+        assert "dagster/kind/fivetran" in asset_spec.tags

python_modules/libraries/dagster-fivetran/dagster_fivetran_tests/experimental/test_translator.py

@@ -1,6 +1,14 @@
 from typing import Callable
 
-from dagster_fivetran import FivetranWorkspace
+import responses
+from dagster._config.field_utils import EnvVar
+from dagster._core.definitions.asset_spec import AssetSpec
+from dagster._core.test_utils import environ
+from dagster_fivetran import (
+    DagsterFivetranTranslator,
+    FivetranConnectorTableProps,
+    FivetranWorkspace,
+)
 
 from dagster_fivetran_tests.experimental.conftest import (
     TEST_ACCOUNT_ID,
@@ -23,3 +31,39 @@ def test_fivetran_workspace_data_to_fivetran_connector_table_props_data(
     assert table_props_data[1].table == "schema_name_in_destination_1.table_name_in_destination_2"
     assert table_props_data[2].table == "schema_name_in_destination_2.table_name_in_destination_1"
     assert table_props_data[3].table == "schema_name_in_destination_2.table_name_in_destination_2"
+
+
+class MyCustomTranslator(DagsterFivetranTranslator):
+    def get_asset_spec(self, props: FivetranConnectorTableProps) -> AssetSpec:
+        default_spec = super().get_asset_spec(props)
+        return default_spec.replace_attributes(
+            key=default_spec.key.with_prefix("prefix"),
+            metadata={**default_spec.metadata, "custom": "metadata"},
+        )
+
+
+def test_translator_custom_metadata(
+    fetch_workspace_data_api_mocks: responses.RequestsMock,
+) -> None:
+    with environ({"FIVETRAN_API_KEY": TEST_API_KEY, "FIVETRAN_API_SECRET": TEST_API_SECRET}):
+        resource = FivetranWorkspace(
+            account_id=TEST_ACCOUNT_ID,
+            api_key=EnvVar("FIVETRAN_API_KEY"),
+            api_secret=EnvVar("FIVETRAN_API_SECRET"),
+        )
+
+        actual_workspace_data = resource.fetch_fivetran_workspace_data()
+        table_props_data = actual_workspace_data.to_fivetran_connector_table_props_data()
+
+        first_table_props_data = next(props for props in table_props_data)
+
+        asset_spec = MyCustomTranslator().get_asset_spec(first_table_props_data)
+
+        assert "custom" in asset_spec.metadata
+        assert asset_spec.metadata["custom"] == "metadata"
+        assert asset_spec.key.path == [
+            "prefix",
+            "schema_name_in_destination_1",
+            "table_name_in_destination_1",
+        ]
+        assert "dagster/kind/fivetran" in asset_spec.tags