import random
import re
from typing import Optional

import openai

from edmond.plugin import Plugin
from edmond.utils import limit_text_length


class Gpt3Plugin(Plugin):

    REQUIRED_CONFIGS = ["openai_key", "computing_replies", "join_lines"]

    def __init__(self, bot):
        super().__init__(bot)
        openai.api_key = self.config["openai_key"]

    def reply(self, prompt: str, target: str):
        computing_reply = random.choice(self.config["computing_replies"])
        self.bot.say(target, computing_reply)

        completion = self.complete(prompt)
        if completion and (reply := self.sanitize(completion)):
            self.bot.say(target, reply)
        else:
            self.bot.signal_failure(target)

    def complete(self, prompt: str) -> Optional[str]:
        try:
            completion = openai.Completion.create(
                model="text-davinci-002",
                prompt=prompt,
                temperature=0.7,
                max_tokens=128,
                top_p=1,
                frequency_penalty=0.5,
                presence_penalty=0
            )
        except openai.error.OpenAIError:
            return None
        return completion.choices[0].text

    def sanitize(self, text: str) -> str:
        text = text.strip()
        text = re.sub(r"\n+", self.config["join_lines"], text)
        text = limit_text_length(text)
        return text