Removed local copy of operator that had a temp fix

Signed-off-by: M Q <mingmelvinq@nvidia.com>

Author: MMelQin

platforms/aidoc/restful_app/ai_spleen_seg_app/__init__.py

@@ -1,4 +1,4 @@
-# Copyright 2021-2023 MONAI Consortium
+# Copyright 2021-2025 MONAI Consortium
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at

platforms/aidoc/restful_app/ai_spleen_seg_app/__main__.py

@@ -1,4 +1,4 @@
-# Copyright 2021-2023 MONAI Consortium
+# Copyright 2021-2025 MONAI Consortium
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at

platforms/aidoc/restful_app/ai_spleen_seg_app/app.py

@@ -1,4 +1,4 @@
-# Copyright 2021-2023 MONAI Consortium
+# Copyright 2021-2025 MONAI Consortium
 # Licensed under the Apache License, Version 2.0 (the "License");
 # you may not use this file except in compliance with the License.
 # You may obtain a copy of the License at
@@ -14,6 +14,7 @@
 
 # Required for setting SegmentDescription attributes. Direct import as this is not part of App SDK package.
 from pydicom.sr.codedict import codes
+from reporter_operator import ExecutionStatusReporterOperator
 
 from monai.deploy.conditions import CountCondition
 from monai.deploy.core import AppContext, Application
@@ -31,7 +32,6 @@
     MonaiBundleInferenceOperator,
 )
 from monai.deploy.operators.stl_conversion_operator import STLConversionOperator
-from reporter_operator import ExecutionStatusReporterOperator
 
 
 # @resource(cpu=1, gpu=1, memory="7Gi")

platforms/aidoc/restful_app/ai_spleen_seg_app/app.yaml

@@ -1,5 +1,5 @@
 %YAML 1.2
-# SPDX-FileCopyrightText: Copyright (c) 2022-2023 MONAI. All rights reserved.
+# SPDX-FileCopyrightText: Copyright (c) 2022-2025 MONAI. All rights reserved.
 # SPDX-License-Identifier: Apache-2.0
 #
 # Licensed under the Apache License, Version 2.0 (the "License");

platforms/aidoc/restful_app/ai_spleen_seg_app/reporter_operator.py

@@ -10,6 +10,7 @@
 # limitations under the License.
 
 import logging
+
 from monai.deploy.core import (
     Application,
     ConditionType,
@@ -18,8 +19,8 @@
     InputContext,
     IOType,
     Operator,
-    OutputContext,
     OperatorSpec,
+    OutputContext,
 )
 
 

platforms/aidoc/restful_app/app.py

@@ -1,10 +1,21 @@
+# Copyright 2025 MONAI Consortium
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#     http://www.apache.org/licenses/LICENSE-2.0
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+
+import argparse
 import importlib
 import logging
 import os
 import sys
 import threading
 from http import HTTPStatus
-import argparse
 
 import requests
 from flask import Flask, jsonify, request
@@ -65,8 +76,7 @@ def app_status_callback(summary):
         os.environ["MONAI_INPUTPATH"] = input_folder
         os.environ["MONAI_OUTPUTPATH"] = output_folder
         os.environ["HOLOSCAN_INPUT_PATH"] = input_folder  # For Holoscan-based apps
-        os.environ["HOLOSCAN_OUTPUT_PATH"] = output_folder # For Holoscan-based apps
-
+        os.environ["HOLOSCAN_OUTPUT_PATH"] = output_folder  # For Holoscan-based apps
 
         # Dynamically import the application class from the specified module.
         logging.info(f"Loading application: {APP_MODULE_NAME}.{APP_CLASS_NAME}")
@@ -110,9 +120,7 @@ def process():
     callback_url = data.get("callback_url")  # Callback URL is optional
 
     # Start the processing in a background thread.
-    thread = threading.Thread(
-        target=run_processing, args=(input_folder, output_folder, callback_url)
-    )
+    thread = threading.Thread(target=run_processing, args=(input_folder, output_folder, callback_url))
     thread.start()
 
     return jsonify({"message": "Processing started."}), HTTPStatus.ACCEPTED
@@ -136,4 +144,4 @@ def process():
     args = parser.parse_args()
     host = args.host or os.environ.get("FLASK_HOST", "0.0.0.0")
     port = args.port or int(os.environ.get("FLASK_PORT", 5000))
-    app.run(host=host, port=port)
+    app.run(host=host, port=port)