read cdn yaml config from api

automate tensorrt model conversion in case of no existing one for user's gpu

build/cdn_manager.py

@@ -36,8 +36,24 @@ class CDNManager:
 
     def download(self, bucket: str, filename: str):
         try:
-            self.download_client.download_file(bucket, filename, filename)
-            print(f'downloaded {filename} from the {bucket} to current folder')
+            if filename is not None:
+                self.download_client.download_file(bucket, filename, os.path.join(bucket, filename))
+                print(f'downloaded {filename} from the {bucket} to current folder')
+            else:
+                response = self.download_client.list_objects_v2(Bucket=bucket)
+                if 'Contents' in response:
+                    for obj in response['Contents']:
+                        object_key = obj['Key']
+                        local_filepath = os.path.join(bucket, object_key)
+                        local_dir = os.path.dirname(local_filepath)
+                        if local_dir:
+                            os.makedirs(local_dir, exist_ok=True)
+
+                        if not object_key.endswith('/'):
+                            try:
+                                self.download_client.download_file(bucket, object_key, local_filepath)
+                            except Exception as e_file:
+                                all_successful = False  # Mark as failed if any file fails
             return True
         except Exception as e:
             print(e)
@@ -58,7 +74,7 @@ cdn_manager = CDNManager(CDNCredentials(
 
 input_action = sys.argv[1]
 input_bucket = sys.argv[2]
-input_filename = sys.argv[3]
+input_filename = sys.argv[3] if len(sys.argv) > 3 else None
 if len(sys.argv) > 4: # 0 is this script's path, hence 5 args is max
     input_path = sys.argv[4]