import os

import requests

from ...typing import get_type_hints

url = "https://aiservice.vercel.app/api/chat/answer"
model = ["gpt-3.5-turbo"]
supports_stream = False
needs_auth = False


def _create_completion(model: str, messages: list, stream: bool, **kwargs):
    base = ""
    for message in messages:
        base += "%s: %s\n" % (message["role"], message["content"])
    base += "assistant:"

    headers = {
        "accept": "*/*",
        "content-type": "text/plain;charset=UTF-8",
        "sec-fetch-dest": "empty",
        "sec-fetch-mode": "cors",
        "sec-fetch-site": "same-origin",
        "Referer": "https://aiservice.vercel.app/chat",
    }
    data = {"input": base}
    response = requests.post(url, headers=headers, json=data)
    if response.status_code == 200:
        _json = response.json()
        yield _json["data"]
    else:
        print(f"Error Occurred::{response.status_code}")
        return None


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]
    ]
)