feat: enhance E2E testing setup and model reporting

- Added a new fixture to manage runtime report artifacts in a writable temp directory during E2E tests, addressing permission issues in local CI/dev environments.
- Updated `conftest.py` to include a requirements.txt file in the model packaging path for training activities.
- Refactored existing fixtures to use `pytest.fixture` instead of `pytest_asyncio.fixture` for better compatibility.
- Enhanced the `Reports` class to include a target alias for report metrics, ensuring compatibility with Evidently's reporting requirements.
- Introduced new test scenarios to validate the handling of missing and whitespace-only `date_column` inputs in the training workflow.

These changes improve the robustness of the E2E testing framework and enhance the clarity of model reporting metrics.

tests/conftest.py

@@ -21,7 +21,7 @@ def _stub_evidently() -> None:
     sys.modules['evidently'] = ev
 
     mp = ModuleType('evidently.metric_preset')
-    mp.DataDriftPreset = _make_dummy('DataDriftPreset')
+    mp.DataDriftPreset = _make_dummy('DataDriftPreset')  # type: ignore[attr-defined]
     sys.modules['evidently.metric_preset'] = mp
 
     metrics = ModuleType('evidently.metrics')
@@ -47,22 +47,22 @@ def _stub_evidently() -> None:
     def generate_column_metrics(*_a, **_k):
         return []
 
-    base.generate_column_metrics = generate_column_metrics
+    base.generate_column_metrics = generate_column_metrics  # type: ignore[attr-defined]
     sys.modules['evidently.metrics.base_metric'] = base
 
     opt = ModuleType('evidently.options')
-    opt.ColorOptions = _make_dummy('ColorOptions')
+    opt.ColorOptions = _make_dummy('ColorOptions')  # type: ignore[attr-defined]
     sys.modules['evidently.options'] = opt
 
     pipeline = ModuleType('evidently.pipeline')
     sys.modules['evidently.pipeline'] = pipeline
 
     colmap = ModuleType('evidently.pipeline.column_mapping')
-    colmap.ColumnMapping = _make_dummy('ColumnMapping')
+    colmap.ColumnMapping = _make_dummy('ColumnMapping')  # type: ignore[attr-defined]
     sys.modules['evidently.pipeline.column_mapping'] = colmap
 
     rep = ModuleType('evidently.report')
-    rep.Report = _make_dummy('Report')
+    rep.Report = _make_dummy('Report')  # type: ignore[attr-defined]
     sys.modules['evidently.report'] = rep
 
 
@@ -82,9 +82,9 @@ def pytest_configure(config) -> None:  # noqa: ARG001
         def treat_nan(input_data, *_a, **_k):
             return input_data
 
-        df_pre.create_features = create_features
-        df_pre.limit_dataset = limit_dataset
-        df_pre.treat_nan = treat_nan
+        df_pre.create_features = create_features  # type: ignore[attr-defined]
+        df_pre.limit_dataset = limit_dataset  # type: ignore[attr-defined]
+        df_pre.treat_nan = treat_nan  # type: ignore[attr-defined]
         sys.modules['sientia_do.operations.df_preprocessor'] = df_pre
 
     sys.modules.setdefault('sientia_do.operations', ModuleType('sientia_do.operations'))
@@ -97,7 +97,7 @@ def pytest_configure(config) -> None:  # noqa: ARG001
 
             pass
 
-        ts_an.TimeSeriesDiscontinuityAnalyzer = TimeSeriesDiscontinuityAnalyzer
+        ts_an.TimeSeriesDiscontinuityAnalyzer = TimeSeriesDiscontinuityAnalyzer  # type: ignore[attr-defined]
         sys.modules['sientia_do.timeseries.analyzer'] = ts_an
 
     sys.modules.setdefault('sientia_do.timeseries', ModuleType('sientia_do.timeseries'))