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