from __future__ import annotations from aiohttp import ClientSession from asyncio import sleep from ..typing import AsyncResult, Messages from .base_provider import AsyncGeneratorProvider, ProviderModelMixin from .helper import format_prompt class CodeNews(AsyncGeneratorProvider, ProviderModelMixin): url = "https://codenews.cc" api_endpoint = "https://codenews.cc/chatxyz13" working = True supports_gpt_35_turbo = True supports_gpt_4 = False supports_stream = True supports_system_message = False supports_message_history = False default_model = 'free_gpt' models = ['free_gpt', 'gpt-4o-mini', 'deepseek-coder', 'chatpdf'] model_aliases = { "glm-4": "free_gpt", "gpt-3.5-turbo": "chatpdf", "deepseek": "deepseek-coder", } @classmethod def get_model(cls, model: str) -> str: if model in cls.models: return model elif model in cls.model_aliases: return cls.model_aliases[model] else: return cls.default_model @classmethod async def create_async_generator( cls, model: str, messages: Messages, proxy: str = None, **kwargs ) -> AsyncResult: model = cls.get_model(model) headers = { "accept": "application/json, text/javascript, */*; q=0.01", "accept-language": "en-US,en;q=0.9", "cache-control": "no-cache", "content-type": "application/x-www-form-urlencoded; charset=UTF-8", "origin": cls.url, "pragma": "no-cache", "priority": "u=1, i", "referer": f"{cls.url}/chatgpt", "sec-ch-ua": '"Chromium";v="127", "Not)A;Brand";v="99"', "sec-ch-ua-mobile": "?0", "sec-ch-ua-platform": '"Linux"', "sec-fetch-dest": "empty", "sec-fetch-mode": "cors", "sec-fetch-site": "same-origin", "user-agent": "Mozilla/5.0 (X11; Linux x86_64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/127.0.0.0 Safari/537.36", "x-requested-with": "XMLHttpRequest", } async with ClientSession(headers=headers) as session: prompt = format_prompt(messages) data = { "chatgpt_input": prompt, "qa_type2": model, "chatgpt_version_value": "20240804", "enable_web_search": "0", "enable_agent": "0", "dy_video_text_extract": "0", "enable_summary": "0", } async with session.post(cls.api_endpoint, data=data, proxy=proxy) as response: response.raise_for_status() json_data = await response.json() chat_id = json_data["data"]["id"] headers["content-type"] = "application/x-www-form-urlencoded; charset=UTF-8" data = {"current_req_count": "2"} while True: async with session.post(f"{cls.url}/chat_stream", headers=headers, data=data, proxy=proxy) as response: response.raise_for_status() json_data = await response.json() if json_data["data"]: yield json_data["data"] break else: await sleep(1) # Затримка перед наступним запитом