linters paradise

modules/text/module_text_llm/module_text_llm/divide_and_conquer/__init__.py

@@ -3,12 +3,10 @@
 from typing import Literal
 from athena.text import Exercise, Submission
 from module_text_llm.divide_and_conquer.generate_suggestions import generate_suggestions
-# from module_text_llm.divide_and_conquer.prompt_generate_suggestions import GenerateSuggestionsPrompt
 
 class DivideAndConquerConfig(ApproachConfig):
     type: Literal['divide_and_conquer'] = 'divide_and_conquer'
     # Prompts are generated at run time.
-    # generate_suggestions_prompt: GenerateSuggestionsPrompt = Field(default=GenerateSuggestionsPrompt())
-
     async def generate_suggestions(self, exercise: Exercise, submission: Submission, config,*, debug: bool, is_graded: bool):
-        return await generate_suggestions(exercise, submission, config, debug, is_graded)
+        return await generate_suggestions(exercise, submission, config, debug, is_graded)
+

modules/text/module_text_llm/module_text_llm/divide_and_conquer/generate_suggestions.py

@@ -1,5 +1,3 @@
-from typing import List
-from athena import emit_meta
 from athena.text import Exercise, Submission, Feedback
 from athena.logger import logger
 from llm_core.utils.llm_utils import get_chat_prompt_with_formatting_instructions
@@ -101,5 +99,3 @@ def parse_feedback_result(feedback, exercise, submission, grading_instruction_id
         meta={}
     ))
     return result_feedbacks
-
-

modules/text/module_text_llm/module_text_llm/divide_and_conquer/prompt_generate_suggestions.py

@@ -89,4 +89,5 @@ class FeedbackModel(BaseModel):
 
 class AssessmentModel(BaseModel):
     """Collection of feedbacks making up an assessment"""
-    assessment: List[FeedbackModel] = Field(description="Assessment feedbacks")
+    assessment: List[FeedbackModel] = Field(description="Assessment feedbacks")
+