Fix parameter ordering issue for cluster estimation worker

modules/cluster_estimation/cluster_estimation.py

@@ -63,8 +63,8 @@ def create(
         min_new_points_to_run: int,
         max_num_components: int,
         random_state: int,
-        local_logger: logger.Logger,
         min_points_per_cluster: int,
+        local_logger: logger.Logger,
     ) -> "tuple[bool, ClusterEstimation | None]":
         """
         Data requirement conditions for estimation model to run.
@@ -111,8 +111,8 @@ def create(
             min_new_points_to_run,
             max_num_components,
             random_state,
-            local_logger,
             min_points_per_cluster,
+            local_logger,
         )
 
     def __init__(
@@ -122,8 +122,8 @@ def __init__(
         min_new_points_to_run: int,
         max_num_components: int,
         random_state: int,
-        local_logger: logger.Logger,
         min_points_per_cluster: int,
+        local_logger: logger.Logger,
     ) -> None:
         """
         Private constructor, use create() method.

modules/cluster_estimation/cluster_estimation_worker.py

@@ -18,10 +18,10 @@ def cluster_estimation_worker(
     min_new_points_to_run: int,
     max_num_components: int,
     random_state: int,
+    min_points_per_cluster: int,
     input_queue: queue_proxy_wrapper.QueueProxyWrapper,
     output_queue: queue_proxy_wrapper.QueueProxyWrapper,
     controller: worker_controller.WorkerController,
-    min_points_per_cluster: int,
 ) -> None:
     """
     Estimation worker process.
@@ -67,8 +67,8 @@ def cluster_estimation_worker(
         min_new_points_to_run,
         max_num_components,
         random_state,
-        local_logger,
         min_points_per_cluster,
+        local_logger,
     )
     if not result:
         local_logger.error("Worker failed to create class object", True)

modules/detect_target/detect_target_brightspot.py

@@ -133,9 +133,7 @@ def run(
         # Catching all exceptions for library call
         # pylint: disable-next=broad-exception-caught
         except Exception as exception:
-            self.__local_logger.error(
-                f"Failed to convert to greyscale, exception: {exception}"
-            )
+            self.__local_logger.error(f"Failed to convert to greyscale, exception: {exception}")
             return False, None
 
         # Calculate the percentile threshold for bright spots

tests/unit/test_cluster_detection.py

@@ -37,8 +37,8 @@ def cluster_model() -> cluster_estimation.ClusterEstimation:  # type: ignore
         MIN_NEW_POINTS_TO_RUN,
         MAX_NUM_COMPONENTS,
         RNG_SEED,
-        test_logger,
         MIN_POINTS_PER_CLUSTER,
+        test_logger,
     )
     assert result
     assert model is not None