[Bug] AttributeError: 'list' object has no attribute 'from_dict'

recce/adapter/dbt_adapter/__init__.py

@@ -632,28 +632,16 @@ def select_nodes(self, select: Optional[str] = None, exclude: Optional[str] = No
         else:
             spec = parse_difference(select_list, exclude_list)
 
-        manifest = self.manifest.deepcopy()
-
-        for (key, node) in self.previous_state.manifest.nodes.items():
-            if key not in manifest.nodes:
-                manifest.nodes[key] = node
-
-        for (key, node) in self.previous_state.manifest.sources.items():
-            if key not in manifest.sources:
-                manifest.sources[key] = node
-
-        for (key, node) in self.previous_state.manifest.exposures.items():
-            if key not in manifest.exposures:
-                manifest.exposures[key] = node
-
-        for (key, node) in self.previous_state.manifest.metrics.items():
-            if key not in manifest.metrics:
-                manifest.metrics[key] = node
-
-        if hasattr(self.previous_state.manifest, 'semantic_models'):
-            for (key, node) in self.previous_state.manifest.semantic_models.items():
-                if key not in manifest.semantic_models:
-                    manifest.semantic_models[key] = node
+        manifest = Manifest()
+        manifest_prev = self.previous_state.manifest
+        manifest_curr = self.manifest
+
+        manifest.nodes = {**manifest_prev.nodes, **manifest_curr.nodes}
+        manifest.sources = {**manifest_prev.sources, **manifest_curr.sources}
+        manifest.exposures = {**manifest_prev.exposures, **manifest_curr.exposures}
+        manifest.metrics = {**manifest_prev.metrics, **manifest_curr.metrics}
+        if hasattr(manifest_prev, 'semantic_models'):
+            manifest.semantic_models = {**manifest_prev.semantic_models, **manifest_curr.semantic_models}
 
         compiler = Compiler(self.runtime_config)
         # disable to print compile states

tests/adapter/dbt_adapter/dbt_test_helper.py

@@ -41,7 +41,7 @@ def __init__(self):
         self.adapter.execute(f"CREATE schema IF NOT EXISTS {self.curr_schema}")
         self.adapter.set_artifacts(self.base_manifest, self.curr_manifest)
 
-    def create_model(self, model_name, base_csv=None, curr_csv=None, depends_on=[]):
+    def create_model(self, model_name, base_csv=None, curr_csv=None, depends_on=[], disabled=False):
         package_name = "recce_test"
         # unique_id = f"model.{package_name}.{model_name}"
         unique_id = model_name
@@ -81,7 +81,11 @@ def _add_model_to_manifest(base, raw_code):
                     "nodes": depends_on
                 },
             })
-            manifest.add_node_nofile(node)
+
+            if disabled:
+                manifest.add_disabled_nofile(node)
+            else:
+                manifest.add_node_nofile(node)
             return node
 
         dbt_adapter = self.adapter

tests/adapter/dbt_adapter/test_selector.py

@@ -99,3 +99,27 @@ def test_select_removed_by_graph(dbt_test_helper):
     assert len(node_ids) == 2
     node_ids = adapter.select_nodes("+customers_3")
     assert len(node_ids) == 2
+
+
+def test_select_with_disabled(dbt_test_helper):
+    csv_data_curr = """
+        customer_id,name,age
+        1,Alice,30
+        2,Bob,25
+        3,Charlie,35
+        """
+
+    csv_data_base = """
+        customer_id,name,age
+        1,Alice,35
+        2,Bob,25
+        3,Charlie,35
+        """
+
+    dbt_test_helper.create_model("customers_1", csv_data_base, csv_data_curr)
+    dbt_test_helper.create_model("customers_2", csv_data_base, csv_data_curr, disabled=True)
+    adapter: DbtAdapter = dbt_test_helper.context.adapter
+
+    # Test graph operation
+    node_ids = adapter.select_nodes("customers_1+")
+    assert len(node_ids) == 1