import openai 
import os

def get_api_key(local = False):
    if local:
        from dotenv import load_dotenv
        load_dotenv()
    return os.getenv('OPEN_API_KEY')

def get_user_input(prompt):
    return input(prompt)

def choose_cooperation_type():
    choice = get_user_input("Please choose the cooperation type: \n" 
                            +"1. Sequential: human provide an answer first and then AI provide the answer based on it.\n" 
                            +"2. Parallel: human and AI give answers seperately and then AI does the merge.\n")
    if choice == '1':
        return 'sequential'
    elif choice == '2':
        return 'parallel'
    else:
        print("Invalid choice. Please try again.")
        return choose_cooperation_type()

def describe_task():
    task_description = get_user_input("Please describe your task: ")
    if task_description.strip() == "":
        # print("Task description cannot be empty. Please try again.")
        # return describe_task()
        task_description = "Write a poem about the moon in 3 lines."
    return task_description

def generate_text_with_gpt(prompts, api_key = None):
    """Generate text using the GPT-3 model."""
    if api_key:
        openai.api_key = api_key

    try:
        response = openai.ChatCompletion.create(
            model="gpt-3.5-turbo",
            messages=[
                {"role": "system", "content": "Please assist."},
                {"role": "user", "content": prompts}
            ]
        )
        return response['choices'][0]['message']['content']
    except Exception as e:
        print(f"Error occurred when generating texts: {e}")
        return ""

def merge_texts_parallel(task_description, human_text, ai_text, api_key = None):
    prompt = f"Given the task as :{task_description}, there are two answers provided:\n" + \
             f"The first answer:  {human_text}\nThe second answer: {ai_text}\n" + \
             f"Merge the two answers into one in a coherent way: "
    return generate_text_with_gpt(prompt, api_key)

def merge_texts_sequential(task_description, human_text, api_key = None):
    prompt = f"Given the task as :{task_description}, the human answer is: {human_text}\n" + \
             f"Provide an answer of your own but make sure it is coherent and should be based on the human answer: "
    return generate_text_with_gpt(prompt, api_key)

def get_evaluation_with_gpt(task_description, text, api_key = None):
    prompt = f"Given the task as :{task_description}, the answer provided is: {text}\n" + \
             f"Evaluate the answer and provide scores between 0 and 10,\n" + \
             f"where criteria for evaluation are correctness, relevance, novelty, fluency, and aesthetic Value:"
    return generate_text_with_gpt(prompt, api_key)