fix linting

modules/text/module_text_llm/module_text_llm/__init__.py

@@ -1,4 +1,3 @@
 import dotenv
 
-# Load environment variables from .env file (for local development)
-dotenv.load_dotenv(override=True)
+dotenv.load_dotenv(override=True)

modules/text/module_text_llm/module_text_llm/approach_controller.py

@@ -1,16 +1,15 @@
-
 from typing import List
 from athena.text import Exercise, Submission, Feedback
 from module_text_llm.basic_approach import BasicApproachConfig
-from module_text_llm.chain_of_thought_approach  import ChainOfThoughtConfig
+from module_text_llm.chain_of_thought_approach import ChainOfThoughtConfig
 from module_text_llm.approach_config import ApproachConfig
 
 from module_text_llm.basic_approach.generate_suggestions import generate_suggestions as generate_suggestions_basic
 from module_text_llm.chain_of_thought_approach.generate_suggestions import generate_suggestions as generate_cot_suggestions
 
 async def generate_suggestions(exercise: Exercise, submission: Submission, config: ApproachConfig, debug: bool) -> List[Feedback]:
-    if(isinstance(config, BasicApproachConfig)):
+    if isinstance(config, BasicApproachConfig):
         return await generate_suggestions_basic(exercise, submission, config, debug)
-    elif(isinstance(config, ChainOfThoughtConfig)):
+    if isinstance(config, ChainOfThoughtConfig):
         return await generate_cot_suggestions(exercise, submission, config, debug)
-
+    raise ValueError("Unsupported config type provided.")

modules/text/module_text_llm/module_text_llm/basic_approach/__init__.py

@@ -8,4 +8,4 @@
 class BasicApproachConfig(ApproachConfig):
     type: Literal['basic'] = 'basic'
     generate_suggestions_prompt: GenerateSuggestionsPrompt = Field(default=GenerateSuggestionsPrompt())
-
+    

modules/text/module_text_llm/module_text_llm/basic_approach/generate_suggestions.py

@@ -8,7 +8,6 @@
     check_prompt_length_and_omit_features_if_necessary, 
     num_tokens_from_prompt,
 )
-from athena.text import Exercise, Submission, Feedback
 from llm_core.utils.predict_and_parse import predict_and_parse
 
 from module_text_llm.config import BasicApproachConfig
@@ -94,4 +93,4 @@ async def generate_suggestions(exercise: Exercise, submission: Submission, confi
             meta={}
         ))
 
-    return feedbacks
+    return feedbacks

modules/text/module_text_llm/module_text_llm/basic_approach/prompt_generate_suggestions.py

@@ -1,6 +1,5 @@
 from pydantic import Field, BaseModel
 from typing import List, Optional
-from pydantic import BaseModel, Field
 
 system_message = """\
 You are an AI tutor for text assessment at a prestigious university.
@@ -62,4 +61,4 @@ class AssessmentModel(BaseModel):
     """Collection of feedbacks making up an assessment"""
 
     feedbacks: List[FeedbackModel] = Field(description="Assessment feedbacks")
-
+