From fa1dd0e85d98ec514201fce6f3bb60891a713210 Mon Sep 17 00:00:00 2001
From: Rob Miller <rob@roboflow.com>
Date: Thu, 12 Dec 2024 10:35:28 -0500
Subject: [PATCH] Fix model_id bug

---
 .../model_monitoring_inference_aggregator/v1.py  |  5 ++---
 ...test_model_monitoring_inference_aggregator.py | 16 ++++++++--------
 2 files changed, 10 insertions(+), 11 deletions(-)

diff --git a/inference/core/workflows/core_steps/sinks/roboflow/model_monitoring_inference_aggregator/v1.py b/inference/core/workflows/core_steps/sinks/roboflow/model_monitoring_inference_aggregator/v1.py
index d82b74835..bd8badf4b 100644
--- a/inference/core/workflows/core_steps/sinks/roboflow/model_monitoring_inference_aggregator/v1.py
+++ b/inference/core/workflows/core_steps/sinks/roboflow/model_monitoring_inference_aggregator/v1.py
@@ -214,7 +214,6 @@ def __init__(
         api_key: Optional[str],
         background_tasks: Optional[BackgroundTasks],
         thread_pool_executor: Optional[ThreadPoolExecutor],
-        model_id: str,
     ):
         if api_key is None:
             raise ValueError(
@@ -228,7 +227,6 @@ def __init__(
         self._background_tasks = background_tasks
         self._thread_pool_executor = thread_pool_executor
         self._predictions_aggregator = PredictionsAggregator()
-        self._model_id = model_id
 
     @classmethod
     def get_init_parameters(cls) -> List[str]:
@@ -244,10 +242,11 @@ def run(
         predictions: Union[sv.Detections, dict],
         frequency: int,
         unique_aggregator_key: str,
+        model_id: str,
     ) -> BlockResult:
         self._last_report_time_cache_key = f"workflows:steps_cache:roboflow_core/model_monitoring_inference_aggregator@v1:{unique_aggregator_key}:last_report_time"
         if predictions:
-            self._predictions_aggregator.collect(predictions, self._model_id)
+            self._predictions_aggregator.collect(predictions, model_id)
         if not self._is_in_reporting_range(frequency):
             return {
                 "error_status": False,
diff --git a/tests/workflows/unit_tests/core_steps/sinks/roboflow/test_model_monitoring_inference_aggregator.py b/tests/workflows/unit_tests/core_steps/sinks/roboflow/test_model_monitoring_inference_aggregator.py
index 75f6aa865..858641b74 100644
--- a/tests/workflows/unit_tests/core_steps/sinks/roboflow/test_model_monitoring_inference_aggregator.py
+++ b/tests/workflows/unit_tests/core_steps/sinks/roboflow/test_model_monitoring_inference_aggregator.py
@@ -54,13 +54,13 @@ def test_run_not_in_reporting_range_success(
         api_key="my_api_key",
         background_tasks=None,
         thread_pool_executor=None,
-        model_id="my_model_id",
     )
     result = block.run(
         fire_and_forget=True,
         frequency=10,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="my_model_id",
     )
 
     # then
@@ -121,13 +121,13 @@ def test_run_in_reporting_range_success_with_object_detection(
         api_key=api_key,
         background_tasks=None,
         thread_pool_executor=None,
-        model_id="construction-safety/10",
     )
     result = block.run(
         fire_and_forget=False,
         frequency=10,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="construction-safety/10",
     )
 
     # then
@@ -217,13 +217,13 @@ def test_run_in_reporting_range_success_with_single_label_classification(
         api_key=api_key,
         background_tasks=None,
         thread_pool_executor=None,
-        model_id="pills-classification/1",
     )
     result = block.run(
         fire_and_forget=False,
         frequency=10,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="pills-classification/1",
     )
 
     # then
@@ -313,13 +313,13 @@ def test_run_in_reporting_range_success_with_multi_label_classification(
         api_key=api_key,
         background_tasks=None,
         thread_pool_executor=None,
-        model_id="animals/32",
     )
     result = block.run(
         fire_and_forget=False,
         frequency=10,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="animals/32",
     )
 
     # then
@@ -415,13 +415,13 @@ def test_send_inference_results_to_model_monitoring_failure(
         api_key=api_key,
         background_tasks=None,
         thread_pool_executor=None,
-        model_id="my_model_id",
     )
     result = block.run(
         fire_and_forget=False,
         frequency=1,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="my_model_id",
     )
 
     # then
@@ -479,13 +479,13 @@ def test_run_when_not_in_reporting_range(
         api_key=api_key,
         background_tasks=None,
         thread_pool_executor=None,
-        model_id="my_model_id",
     )
     result = block.run(
         fire_and_forget=False,
         frequency=10,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="my_model_id",
     )
 
     # then
@@ -545,13 +545,13 @@ def test_run_when_fire_and_forget_with_background_tasks(
         api_key=api_key,
         background_tasks=background_tasks,
         thread_pool_executor=None,
-        model_id="my_model_id",
     )
     result = block.run(
         fire_and_forget=True,
         frequency=10,
         predictions=predictions,
         unique_aggregator_key=unique_aggregator_key,
+        model_id="my_model_id",
     )
 
     # then
@@ -609,13 +609,13 @@ def test_run_when_fire_and_forget_with_thread_pool(
             api_key=api_key,
             background_tasks=None,
             thread_pool_executor=thread_pool_executor,
-            model_id="my_model_id",
         )
         result = block.run(
             fire_and_forget=True,
             frequency=10,
             predictions=predictions,
             unique_aggregator_key=unique_aggregator_key,
+            model_id="my_model_id",
         )
 
         # then