src/game/llm.py

from openai import OpenAI

import os
from loguru import logger
from dotenv import load_dotenv
load_dotenv()
from retry import retry
from typing import List, Dict

client = OpenAI(api_key=os.getenv("OPENAI_API_KEY"))


country = {"nl": {"language":"Dutch", "country":"Netherlands"},
            "de": {"language":"German", "country":"Germany"},
            "se": {"language":"Swedish", "country":"Sweden"},
            "en": {"language":"English", "country":"England"}
            }

levels = {"easy": [3, 6], 
          "medium": [5, 12],
          "hard": [12, 20]}


def get_languages():
    return list(country.keys())

def get_level():
    return list(levels.keys())

def parse_response(response:dict, min_length:int=10) -> List[Dict[str, str]]:

    logger.debug(f"{response = }")

    logger.info(f"Parsing response from OpenAI API.")

    text = response.choices[0].message.content
    tokens = text.split("Sentence ")

    logger.debug(f"Number of tokens: {len(tokens)}")
    logger.debug(f"{tokens = }")


    qas = []
    for token in tokens:
        if len(token) == 0:
            continue
        lines = token.split("\n")
        #print(f"{lines = }")
        original = lines[0][3:]

        true_trans = ""
        for line in lines:
            if line.startswith("True: "):
                true_trans = line[6:]

        # get line starting with "False: "
        false_trans = ""
        for line in lines:
            if line.startswith("False: "):
                false_trans = line[7:]

        # get line starting with "Funny: "
        funny_trans = ""
        for line in lines:
            if line.startswith("Funny: "):
                funny_trans = line[7:]

        qa = {"original": original, "true": true_trans, "false": false_trans, "funny": funny_trans}

        logger.debug(f"------------------------")
        logger.debug(f"{qa = }")
        logger.debug(f"------------------------")

        if len(qa["original"]) > min_length and len(qa["true"]) > min_length and len(qa["false"]) > min_length and len(qa["funny"]) > min_length:
            qas.append(qa)

    logger.info(f"Returning {len(qas)} valid QA pairs.")

    return qas

@retry(delay=1, backoff=2, max_delay=20, tries=10, logger=logger)
def generate(n:int, input_country:str, target_country:str, level:str, temperature:float=0.80) -> Dict[str, str]:
    input_length = levels[level]

    logger.info(f"Generating {str(n)} QA pairs for {country[input_country]['language']} to {country[target_country]['language']} with level: {level}.")

    assert temperature >= 0.0 and temperature <= 1.0, "temperature must be between 0 and 1"
    response = client.chat.completions.create(model="gpt-3.5-turbo",
        messages=[
            {"role": "system", "content": 
            f"You are a helpful assistant at creating a translation game.\
                    You create sentences in {str(country[input_country]['language'])} with a length that is exactly between {str(input_length[0])} to {str(input_length[1])} words.\
                    You create translations in  {str(country[target_country]['language'])}.\
                Formulate your answer in exactly this format: Sentence N: [X],\True: [A],\nFalse: [B],\nFunny: [C]."},
            {"role": "assistant", "content": 
            f"Create original sentences with words, locations, concepts and phrases are typical for {str(country[input_country]['country'])} ."},
            {"role": "user", "content": 
            f"Generate {str(n)} funny sentences. You create 1 correct translation, 1 incorrect translations, and 1 which very wrong and funny."},
        ],
        temperature=temperature)
    return response



# n = 10
# input_country = "nl"
# target_country = "de"
# input_length = "easy"

def get_QAs(n:int, input_country:str, target_country:str, level:str, debug:bool):

    if debug:
        return [ {"original": "The Netherlands is a country in Europe.",
                    "true": "Nederland is een land in Europa.",
                    "false": "Nederland is een land in Azië.",
                    "funny": "Nederland is een aap in Europa."},
                {"original": "Aap, noot, mies.",
                    "true": "Aap.",
                    "false": "Noot.",
                    "funny": "Mies."} ]
    else:
        return parse_response(generate(n=n, input_country=input_country, target_country=target_country, level=level))