Serialize run successfully

app/helpers/mlflow_service.py

@@ -1,4 +1,5 @@
 from mlflow.tracking import MlflowClient
+import json
 
 
 def get_mlflow_client(current_app):
@@ -23,11 +24,27 @@ def get_experiment_json_object(experiment):
         "tags": experiment.tags
     }
 
+def safe_serialize(obj):
+    """Recursively serializes objects, converting non-serializable types to strings."""
+    if isinstance(obj, (int, float, str, bool, type(None))):  
+        return obj  # Basic
+
+    if isinstance(obj, dict):  
+        return {key: safe_serialize(value) for key, value in obj.items()}  # For serialize dicts
+
+    if isinstance(obj, list) or isinstance(obj, tuple):  
+        return [safe_serialize(item) for item in obj]  # For lists and tuples
+
+    try:
+        return json.loads(json.dumps(obj))  
+    except (TypeError, OverflowError):
+        return str(obj)  # Fallback: Convert to string representation if it can't be serialized
 
 def get_run_json_object(run, full=False):
     if full:
-        return run.to_dictionary()
-    return {
+        return safe_serialize(run.to_dictionary())
+
+    run_info = {
         "run_id": run.info.run_id,
         "status": run.info.status,
         "start_time": run.info.start_time,
@@ -37,3 +54,5 @@ def get_run_json_object(run, full=False):
         "user_id": run.info.user_id,
         "experiment_id": run.info.experiment_id,
     }
+
+    return safe_serialize(run_info)