SIENTIAPDE-1255: Refactor data quality gates to training focused metrics and repositories. This commit removes the data quality gates and filters, focusing on training-specific metrics and data repositories. It also updates the README to reflect these changes, including new training metrics and a streamlined data services section.

tests/activities/test_activities.py

@@ -4,7 +4,6 @@ from pytest import mark
 
 from model_manager.activities.activities import Activities
 from model_manager.activities.experiment_tracking import ExperimentTracking
-from model_manager.activities.gates import Gates
 from model_manager.activities.mlflow import MLFlow
 from model_manager.activities.training import Training
 
@@ -12,11 +11,9 @@ from model_manager.activities.training import Training
 @patch('model_manager.activities.activities.ExperimentTracking.__init__')
 @patch('model_manager.activities.activities.MLFlow.__init__')
 @patch('model_manager.activities.activities.MinIO.__init__')
-@patch('model_manager.activities.activities.Gates.__init__')
 @patch('model_manager.activities.activities.Training.__init__')
 def test___init__(
     mock_training_init,
-    mock_gates_init,
     mock_minio_init,
     mock_mlflow_init,
     mock_experiment_tracking_init,
@@ -59,7 +56,6 @@ def test___init__(
     assert isinstance(activities, Activities)
     assert isinstance(activities, ExperimentTracking)
     assert isinstance(activities, MLFlow)
-    assert isinstance(activities, Gates)
     assert isinstance(activities, Training)
 
     mock_experiment_tracking_init.assert_called_once_with(
@@ -100,10 +96,6 @@ def test___init__(
         notification_handler=notification_handler,
     )
 
-    mock_gates_init.assert_called_once_with(
-        ANY, logger=logger, notification_handler=notification_handler
-    )
-
     mock_training_init.assert_called_once_with(
         ANY, logger=logger, notification_handler=notification_handler
     )