import logging

from llms import llm
# from llms.openai import llm
from prompts import QA_PROMPT
from prompts import SUMMARIZATION_PROMPT

logger = logging.getLogger(__name__)

def get_qa_chain():
    logger.info("Creating QA chain")
    print("> Creating QA chain")
    
    try:
        # qa_chain = QA_PROMPT
        qa_chain = QA_PROMPT | llm
        
        logger.info("QA chain created")
        print("> QA chain created")
        return qa_chain
    
    except Exception as e:
        msg = f"Error: {e}"
        logger.exception(msg)
        print(msg)
        raise e

def get_summarization_chain():
    logger.info("Creating summarization chain")
    print("> Creating summarization chain")
    
    try:
        # summarization_chain = SUMMARIZATION_PROMPT
        summarization_chain = SUMMARIZATION_PROMPT | llm
        
        logger.info("Summarization chain created")
        print("> Summarization chain created")
        return summarization_chain
    
    except Exception as e:
        msg = f"Error: {e}"
        logger.exception(msg)
        print(msg)
        raise e

qa_chain = get_qa_chain()
summarization_chain = get_summarization_chain()