import base64
import os
import re
from typing import get_type_hints

import requests

url = "https://chatgptlogin.ac"
model = ["gpt-3.5-turbo"]
supports_stream = False
needs_auth = False


def _create_completion(model: str, messages: list, stream: bool, **kwargs):
    def get_nonce():
        res = requests.get(
            "https://chatgptlogin.ac/use-chatgpt-free/",
            headers={
                "Referer": "https://chatgptlogin.ac/use-chatgpt-free/",
                "User-Agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
            },
        )

        src = re.search(
            r'class="mwai-chat mwai-chatgpt">.*<span>Send</span></button></div></div></div> <script defer src="(.*?)">',
            res.text,
        ).group(1)
        decoded_string = base64.b64decode(src.split(",")[-1]).decode("utf-8")
        return re.search(r"let restNonce = '(.*?)';", decoded_string).group(1)

    def transform(messages: list) -> list:
        def html_encode(string: str) -> str:
            table = {
                '"': "&quot;",
                "'": "&#39;",
                "&": "&amp;",
                ">": "&gt;",
                "<": "&lt;",
                "\n": "<br>",
                "\t": "&nbsp;&nbsp;&nbsp;&nbsp;",
                " ": "&nbsp;",
            }

            for key in table:
                string = string.replace(key, table[key])

            return string

        return [
            {
                "id": os.urandom(6).hex(),
                "role": message["role"],
                "content": message["content"],
                "who": "AI: " if message["role"] == "assistant" else "User: ",
                "html": html_encode(message["content"]),
            }
            for message in messages
        ]

    headers = {
        "authority": "chatgptlogin.ac",
        "accept": "*/*",
        "accept-language": "en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3",
        "content-type": "application/json",
        "origin": "https://chatgptlogin.ac",
        "referer": "https://chatgptlogin.ac/use-chatgpt-free/",
        "sec-ch-ua": '"Not.A/Brand";v="8", "Chromium";v="114", "Google Chrome";v="114"',
        "sec-ch-ua-mobile": "?0",
        "sec-ch-ua-platform": '"Windows"',
        "sec-fetch-dest": "empty",
        "sec-fetch-mode": "cors",
        "sec-fetch-site": "same-origin",
        "user-agent": "Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/114.0.0.0 Safari/537.36",
        "x-wp-nonce": get_nonce(),
    }

    conversation = transform(messages)

    json_data = {
        "env": "chatbot",
        "session": "N/A",
        "prompt": "Converse as if you were an AI assistant. Be friendly, creative.",
        "context": "Converse as if you were an AI assistant. Be friendly, creative.",
        "messages": conversation,
        "newMessage": messages[-1]["content"],
        "userName": '<div class="mwai-name-text">User:</div>',
        "aiName": '<div class="mwai-name-text">AI:</div>',
        "model": "gpt-3.5-turbo",
        "temperature": 0.8,
        "maxTokens": 1024,
        "maxResults": 1,
        "apiKey": "",
        "service": "openai",
        "embeddingsIndex": "",
        "stop": "",
        "clientId": os.urandom(6).hex(),
    }

    response = requests.post(
        "https://chatgptlogin.ac/wp-json/ai-chatbot/v1/chat",
        headers=headers,
        json=json_data,
    )

    return response.json()["reply"]


params = f"g4f.Providers.{os.path.basename(__file__)[:-3]} supports: " + "(%s)" % ", ".join(
    [
        f"{name}: {get_type_hints(_create_completion)[name].__name__}"
        for name in _create_completion.__code__.co_varnames[: _create_completion.__code__.co_argcount]
    ]
)