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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 = {
"glm4": "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
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