SIENTIAPDE-1646

SIENTIAPDE-1646 Merge origin/main into release/SIENTIAPDE-1646

Bring main up to date while keeping this branch's sync execution, PluginStore
runtime and sientia_model (SientiaMLflowRepository/SientiaModel) structure.

Resolution decisions:
- OPC: keep the sync asyncua.sync implementation; port main's server_uri
  validation, e2e race fix (lock held until released) and the new unit tests
  converted to sync.
- Model import workflow (.sientia bundles), joblib/transform flavors and the
  local MLFlowRepository (model_repository.py) are dropped, with their tests,
  docs, metrics, env vars and connectors config.
- Worker: drift/simple_metrics stay pinned to the 'core' runtime; port main's
  HOSTNAME pod id, logger-based prometheus startup and sys.exit after finally.
- values.yaml removed, following main (SIENTIAPDE-1945).
- Deps: keep sientia_model; take main's fsspec/s3fs/botocore/boto3 pins and
  sientia_do>=1.12.2; drop import-only deps (pynacl, cryptography, pymongo,
  python-dotenv, pycaret, joblib, gcsfs).
- e2e: keep sientia_data schema and scenario input files.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>

tests/laborious/activities/test_api.py

@@ -218,6 +218,43 @@ def test_write_pi_web_api_data_success(mock_dataframe, api, base_input_data):
     }
 
 
+@patch('laborious.activities.api.DataFrame')
+def test_write_pi_web_api_data_partial_prediction_mismatch_downgrades_confidence(
+    mock_dataframe, api, base_input_data
+):
+    """A partial write (some tags report Errors) doesn't raise — it's caught by the tag-count
+    mismatch check, which still must downgrade confidence and attach the mismatch message."""
+    input_data = {
+        **base_input_data,
+        'pi_web_api_output_config': {
+            'endpoint': 'https://test-pi-server.com/piwebapi',
+            'prediction_tags': {'tag1': 'web_id_1', 'tag2': 'web_id_2'},
+            'confidence_tags': {'tag3': 'web_id_3'},
+        },
+    }
+    mock_df = _create_mock_dataframe()
+    mock_dataframe.return_value = mock_df
+
+    api.pi_web_api_client.write_value.side_effect = [
+        [{'WebId': 'web_id_1', 'Errors': []}, {'WebId': 'web_id_2', 'Errors': ['bad tag']}],
+        [{'WebId': 'web_id_3', 'Errors': []}],
+    ]
+
+    api.write_pi_web_api_data(input_data)
+
+    mock_df.__setitem__.assert_any_call(
+        'prediction_confidence', PI_WEB_API_PREDICTION_ERROR_CONFIDENCE
+    )
+    mock_df.__setitem__.assert_any_call('comments', ANY)
+    api.send_notification.assert_called_once_with(
+        metadata=metadata['metadata'],
+        notification_id='WRITE_PI_WEB_API_PREDICTION_ERROR',
+        message=ANY,
+        block='write_pi_web_api_data',
+        level=NotificationLevel.ERROR,
+    )
+
+
 @patch('laborious.activities.api.DataFrame')
 def test_write_pi_web_api_data_prediction_error(mock_dataframe, api, base_input_data):
     mock_dataframe.return_value = _create_mock_dataframe(