gpt4free

from __future__ import annotations

import json

from ...typing import AsyncResult, Messages, Cookies
from ..base_provider import AsyncGeneratorProvider, format_prompt
from ...requests import (
    StreamSession,
    get_args_from_nodriver,
    raise_for_status,
    merge_cookies,
)


class Pi(AsyncGeneratorProvider):
    url = "https://pi.ai/talk"
    working = True
    use_nodriver = True
    supports_stream = True
    use_nodriver = True
    default_model = "pi"
    models = [default_model]
    _headers: dict = None
    _cookies: Cookies = {}

    @classmethod
    async def create_async_generator(
        cls,
        model: str,
        messages: Messages,
        stream: bool,
        proxy: str = None,
        timeout: int = 180,
        conversation_id: str = None,
        **kwargs,
    ) -> AsyncResult:
        if cls._headers is None:
            args = await get_args_from_nodriver(cls.url, proxy=proxy, timeout=timeout)
            cls._cookies = args.get("cookies", {})
            cls._headers = args.get("headers")
        async with StreamSession(
            headers=cls._headers, cookies=cls._cookies, proxy=proxy
        ) as session:
            if not conversation_id:
                conversation_id = await cls.start_conversation(session)
                prompt = format_prompt(messages)
            else:
                prompt = messages[-1]["content"]
            answer = cls.ask(session, prompt, conversation_id)
            async for line in answer:
                if "text" in line:
                    yield line["text"]

    @classmethod
    async def start_conversation(cls, session: StreamSession) -> str:
        async with session.post(
            "https://pi.ai/api/chat/start",
            data="{}",
            headers={"accept": "application/json", "x-api-version": "3"},
        ) as response:
            await raise_for_status(response)
            return (await response.json())["conversations"][0]["sid"]

    async def get_chat_history(session: StreamSession, conversation_id: str):
        params = {
            "conversation": conversation_id,
        }
        async with session.get(
            "https://pi.ai/api/chat/history", params=params
        ) as response:
            await raise_for_status(response)
            return await response.json()

    @classmethod
    async def ask(cls, session: StreamSession, prompt: str, conversation_id: str):
        json_data = {
            "text": prompt,
            "conversation": conversation_id,
            "mode": "BASE",
        }
        async with session.post("https://pi.ai/api/chat", json=json_data) as response:
            await raise_for_status(response)
            cls._cookies = merge_cookies(cls._cookies, response)
            async for line in response.iter_lines():
                if line.startswith(b'data: {"text":'):
                    yield json.loads(line.split(b"data: ")[1])
                elif line.startswith(b'data: {"title":'):
                    yield json.loads(line.split(b"data: ")[1])