import hashlib
import json
import os
import random
from typing import get_type_hints

import requests

url = "https://deepai.org"
model = ["gpt-3.5-turbo"]
supports_stream = True
needs_auth = False


def _create_completion(model: str, messages: list, stream: bool, **kwargs):
    def md5(text: str) -> str:
        return hashlib.md5(text.encode()).hexdigest()[::-1]

    def get_api_key(user_agent: str) -> str:
        part1 = str(random.randint(0, 10**11))
        part2 = md5(user_agent + md5(user_agent + md5(user_agent + part1 + "x")))

        return f"tryit-{part1}-{part2}"

    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"

    headers = {"api-key": get_api_key(user_agent), "user-agent": user_agent}

    files = {"chat_style": (None, "chat"), "chatHistory": (None, json.dumps(messages))}

    r = requests.post(
        "https://api.deepai.org/chat_response",
        headers=headers,
        files=files,
        stream=True,
    )

    for chunk in r.iter_content(chunk_size=None):
        r.raise_for_status()
        yield chunk.decode()


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]
    ]
)