Fix webhook payload structure handling for project_id extraction and …

label_studio_ml/examples/huggingface_ner/model.py

@@ -143,7 +143,18 @@ def fit(self, event, data, **kwargs):
             logger.info(f"Skip training: event {event} is not supported")
             return
 
-        project_id = data['annotation']['project']
+        # Get project from annotation first if present, otherwise fall back to top-level project field
+        project = data.get('annotation', {}).get('project') or data.get('project')
+        # Handle both possible formats
+        if isinstance(project, dict):
+            project_id = project.get('id')
+        else:
+            project_id = project
+        # If project_id is still None, log and safely exit
+        if project_id is None:
+            logger.error(f"Cannot find project_id in webhook payload: {data}")
+            return
+
         tasks = self._get_tasks(project_id)
 
         if len(tasks) % self.START_TRAINING_EACH_N_UPDATES != 0 and event != 'START_TRAINING':

label_studio_ml/examples/huggingface_ner/test_api.py

@@ -200,3 +200,33 @@ def test_fit(client, mock_get_labeled_tasks, mock_start_training, mock_baseline_
     # remove './results/finetuned_model' directory after testing
     import shutil
     shutil.rmtree(results_dir)
+
+def test_fit_missing_annotation(monkeypatch):
+    # Initialize the model
+    model = HuggingFaceNER()
+
+    # Mock label_interface to avoid AttributeError
+    model.label_interface = mock.MagicMock()
+    # Mock get_first_tag_occurence to return fake values
+    model.label_interface.get_first_tag_occurence.return_value = ('Labels', 'Text', 'text_field_name')
+
+    # Mock data payload with annotation missing, only project present
+    payload = {
+        "action": "ANNOTATION_UPDATED",
+        "project": {"id": 123, "name": "Test Project"}
+    }
+
+    # Monkeypatch _get_tasks to return one fake task
+    monkeypatch.setattr(model, "_get_tasks", lambda project_id: [
+        {
+            "id": "1",
+            "data": {"text_field_name": "Hello world"},
+            "annotations": []
+        }
+    ])
+
+    # Call fit()
+    try:
+        model.fit(event="ANNOTATION_UPDATED", data=payload)
+    except Exception as e:
+        pytest.fail(f"fit() raised an exception when annotation is missing: {e}")