import openai
import os


# Define the KeyValue class
class KeyValue:
    def __init__(self):
        """
        Initialize the Extractor class.
        """
        
        openai.api_type = os.getenv['api_type']
        openai.api_base = os.getenv['api_base']
        openai.api_version = os.getenv['api_version']
        openai.api_key = os.getenv['api_key']

    def extract_key_value_pair(extracted_summary):
        """
        Extract key-value pairs from the refined summary.

        Prints the extracted key-value pairs.
        """
        try:


            conversation = [
                            {"role": "system", "content": "You are a helpful Keywords Extracter."},
                            {"role": "user", "content": f"""analyze the given contract and Extract Keywords for following contract in triple backticks. tags should be bullet points.contract :```{extracted_summary}```."""}
                          ]
                        
            # Call OpenAI GPT-3.5-turbo
            chat_completion = openai.ChatCompletion.create(
                                  engine="ChatGPT",
                                  messages = conversation,
                                  temperature=0.7,
                                  max_tokens=800,
                                  top_p=0.95,
                                  frequency_penalty=0,
                                  presence_penalty=0,
                                  stop=None
                                )
            response = chat_completion.choices[0].message.content
            return response
            
        except Exception as e:
            # If an error occurs during the key-value extraction process, log the error
            print(f"Error occurred while extracting key-value pairs: {str(e)}")