_get_prediction

pr_agent/tools/pr_description.py

@@ -57,17 +57,34 @@ class PRDescription:
         logging.info('Getting AI prediction...')
         self.prediction = await self._get_prediction(model)
 
-    async def _get_prediction(self, model: str):
+    async def _get_prediction(self, model: str) -> str:
+        """
+        Generate an AI prediction for the PR description based on the provided model.
+
+        Args:
+            model (str): The name of the model to be used for generating the prediction.
+
+        Returns:
+            str: The generated AI prediction.
+        """
         variables = copy.deepcopy(self.vars)
         variables["diff"] = self.patches_diff  # update diff
+
         environment = Environment(undefined=StrictUndefined)
         system_prompt = environment.from_string(settings.pr_description_prompt.system).render(variables)
         user_prompt = environment.from_string(settings.pr_description_prompt.user).render(variables)
+
         if settings.config.verbosity_level >= 2:
             logging.info(f"\nSystem prompt:\n{system_prompt}")
             logging.info(f"\nUser prompt:\n{user_prompt}")
-        response, finish_reason = await self.ai_handler.chat_completion(model=model, temperature=0.2,
+
-                                                                        system=system_prompt, user=user_prompt)
+        response, finish_reason = await self.ai_handler.chat_completion(
+            model=model,
+            temperature=0.2,
+            system=system_prompt,
+            user=user_prompt
+        )
+
         return response
 
     def _prepare_pr_answer(self) -> Tuple[str, str, List[str], str]: