from llms import LLM
from utils.remote_client import execute_remote_task

def sentiment_analysis(text: str, model: str, custom_instructions: str = "", use_llm: bool = True) -> str:
    """
    Analyze sentiment of text using either LLM or traditional (Modal API) method.
    
    Args:
        text: The text to analyze
        model: The model to use
        custom_instructions: Optional instructions for LLM
        use_llm: Whether to use LLM or traditional method
    """
    if not text.strip():
        return ""
    if use_llm:
        return _sentiment_with_llm(text, model, custom_instructions)
    else:
        return _sentiment_with_traditional(text, model)

def _sentiment_with_llm(text: str, model: str, custom_instructions: str = "") -> str:
    try:
        llm = LLM(model=model)
        prompt = (
            f"Analyze the sentiment of the following text. Return ONLY one value: 'positive', 'negative', or 'neutral'.\n" +
            (f"{custom_instructions}\n" if custom_instructions else "") +
            f"Text: {text}\nSentiment:"
        )
        result = llm.generate(prompt)
        return result.strip()
    except Exception as e:
        print(f"Error in LLM sentiment analysis: {str(e)}")
        return "Oops! Something went wrong. Please try again later."

def _sentiment_with_traditional(text: str, model: str) -> str:
    try:
        payload = {
            "text": text, 
            "model": model,
            "task": "sentiment"
        }
        resp = execute_remote_task("classification", payload)
        if "error" in resp:
            return "Oops! Something went wrong. Please try again later."
        return resp.get("labels", "")
    except Exception as e:
        print(f"Error in traditional sentiment analysis: {str(e)}")
        return "Oops! Something went wrong. Please try again later."