SIENTIAPDE-1646

Refactor ModelMetrics to utilize DriftAnalysis for drift detection

- Replaced ModelAnalysis with DriftAnalysis in the ModelMetrics class to enhance drift detection capabilities.
- Updated method signatures and documentation to reflect the changes in target_name and return values.
- Adjusted data handling to ensure compatibility with the new analysis methods and improved clarity in the drift metrics dataframe preparation.

tests/conftest.py

@@ -1,6 +1,4 @@
 import os
-import sys
-from unittest.mock import MagicMock
 
 from sientia_do.temporal.activities.postgres_sync import Postgres
 
@@ -60,13 +58,9 @@ class DummyMinioDataFramePayload:
 """
 Pytest configuration file with global mocks for external dependencies.
 
-This module mocks the 'sientia' module to avoid requiring its installation
-during unit tests. The mock is registered in sys.modules before any test
-imports are executed.
+The historical ``sientia`` package is no longer imported by the codebase;
+drift analysis lives in ``sientia_model.analytics.drift_analysis`` and is
+imported lazily inside Temporal activities. No global module-level mock is
+required here — unit tests that need to control ``DriftAnalysis`` outputs
+should patch ``laborious.activities.model_metrics.DriftAnalysis`` directly.
 """
-
-# Mock sientia module
-sientia_mock = MagicMock()
-sientia_mock.ModelAnalysis = MagicMock
-sys.modules['sientia'] = sientia_mock
-sys.modules['sientia.ModelAnalysis'] = MagicMock()