import json
import openai
import aiohttp
import logging
from io import BytesIO
from typing import Optional, List, Dict, Any, Tuple


class AIMessageBase(object):
    def __init__(self) -> None:
        pass

    def __str__(self) -> str:
        return json.dumps(vars(self))


class AIMessage(AIMessageBase):
    def __init__(self, user: str, message: str) -> None:
        self.user = user
        self.message = message


class AIResponse(AIMessageBase):
    def __init__(self, answer: str, answer_needed: bool, staff: Optional[str], picture: Optional[str], hack: bool) -> None:
        self.answer = answer
        self.answer_needed = answer_needed
        self.staff = staff
        self.picture = picture
        self.hack = hack


class AIResponder(object):
    def __init__(self, config: Dict[str, Any]) -> None:
        self.config = config
        self.history: List[Dict[str, Any]] = []

    def _message(self, message: AIMessage, limit: Optional[int] = None) -> Tuple[List[Dict[str, Any]], List[Dict[str, Any]]]:
        messages = []
        messages.append({"role": "system", "content": self.config["system"]})
        if limit is None:
            history = self.history[:]
        else:
            history = self.history[-limit:]
        history.append({"role": "user", "content": str(message)})
        for msg in history:
            messages.append(msg)
        return messages, history

    async def draw(self, description: str) -> BytesIO:
        while True:
            try:
                response = await openai.Image.acreate(prompt=description, n=1, size="512x512")
                async with aiohttp.ClientSession() as session:
                    async with session.get(response['data'][0]['url']) as image:
                        return BytesIO(await image.read())
            except Exception as err:
                logging.warning(f"Failed to generate image {repr(description)}: {repr(err)}")

    async def send(self, message: AIMessage) -> AIResponse:
        limit = self.config["history-limit"]
        while True:
            messages, history = self._message(message, limit)
            try:
                result = await openai.ChatCompletion.acreate(model=self.config["model"],
                                                             messages=messages,
                                                             temperature=self.config["temperature"],
                                                             top_p=self.config["top-p"],
                                                             presence_penalty=self.config["presence-penalty"],
                                                             frequency_penalty=self.config["frequency-penalty"])
                answer = result['choices'][0]['message']
                response = json.loads(answer['content'])
            except openai.error.InvalidRequestError as err:
                if 'maximum context length is' in str(err) and limit > 4:
                    limit -= 1
                    continue
                raise err
            except Exception as err:
                logging.warning(f"failed to generate response: {repr(err)}")
                continue
            history.append(answer)
            self.history = history
            return AIResponse(response['answer'],
                              response['answer_needed'],
                              response['staff'],
                              response['picture'],
                              response['hack'])