feat: enhance configuration and error handling in project setup

- Added new ignore rule for Ruff to allow temporary paths in tests.
- Introduced MyPy overrides for specific modules to ignore errors.
- Refactored `Cleanup` and `ExperimentTracking` classes to remove async keywords from methods, improving consistency in method signatures.
- Updated `Training` class methods to handle synchronous operations, enhancing performance and clarity.
- Adjusted `requirements.txt` to remove unnecessary Git dependency, streamlining project setup.

model_manager/activities/cleanup.py

@@ -62,7 +62,7 @@ class Cleanup(SientiaMonitoring):
         )  # name_YYYYMMDD_HHMMSS_microseconds
 
     @activity.defn(name='cleanup_temp_directories')
-    async def cleanup_temp_directories(self, input_data: dict[str, Any]) -> None:
+    def cleanup_temp_directories(self, input_data: dict[str, Any]) -> None:
         """
         Clean up stale temporary directories based on timestamp in directory name.
 
@@ -178,14 +178,14 @@ class Cleanup(SientiaMonitoring):
 
             raise
         finally:
-            await self._emit_metrics(
+            self._emit_metrics(
                 metadata=metadata,
                 metrics_status=metrics_status,
                 activity_name='cleanup_temp_directories',
                 emit_workflow_metric=True,
             )
 
-    async def _emit_metrics(
+    def _emit_metrics(
         self,
         metadata: dict[str, Any],
         metrics_status: str,
@@ -201,7 +201,7 @@ class Cleanup(SientiaMonitoring):
             activity_name: Name of the activity being executed
         """
         if emit_workflow_metric:
-            await self.emit_metric(
+            self.emit_metric_sync(
                 metric_object=WORKFLOW_EXECUTION_TOTAL,
                 tags={
                     'pod_id': metadata.get('pod_id'),
@@ -210,7 +210,7 @@ class Cleanup(SientiaMonitoring):
                 },
             )
 
-        await self.emit_metric(
+        self.emit_metric_sync(
             metric_object=ACTIVITY_EXECUTION_TOTAL,
             tags={
                 'pod_id': metadata.get('pod_id'),