going back with request_id approach

Author: MML-coder

src/guidellm/dataset/synthetic.py

@@ -193,9 +193,9 @@ def _create_prompt(self, prompt_tokens: int, start_index: int, request_id: int)
             Generated prompt string with unique prefix
         """
         if prompt_tokens <= 0:
-            return self._create_unique_prefix(request_id)
+            return f"{request_id}: "
 
-        unique_prefix = self._create_unique_prefix(request_id)
+        unique_prefix = f"{request_id}: "
 
         # Calculate how many tokens the prefix uses
         prefix_tokens = len(self.processor.tokenize(unique_prefix))
@@ -222,22 +222,6 @@ def _create_prompt(self, prompt_tokens: int, start_index: int, request_id: int)
         base_text = self.text_creator.create_text(start_index, left - start_index)
         return unique_prefix + base_text
 
-    def _create_unique_prefix(self, request_id: int) -> str:
-        """
-        Create a unique prefix that will never match any other request.
-        """
-
-        # microseconds
-        timestamp = int(time.time() * 1000000)
-        random.seed(request_id + timestamp)
-        random_component = random.randint(100000, 999999)
-
-        prefix_parts = [
-            f"{random_component}",
-        ]
-
-        return f"{'_'.join(prefix_parts)}: "
-
 
 class SyntheticDatasetCreator(DatasetCreator):
     @classmethod