mirror of
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80 lines
2.6 KiB
Python
80 lines
2.6 KiB
Python
from __future__ import annotations
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from aiohttp import ClientSession
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from ...typing import AsyncResult, Messages
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from ..base_provider import AsyncGeneratorProvider
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from ..helper import get_random_hex
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class SearchTypes():
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quick = "quick"
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code = "code"
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websearch = "websearch"
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class Hashnode(AsyncGeneratorProvider):
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url = "https://hashnode.com"
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working = False
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supports_message_history = True
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supports_gpt_35_turbo = True
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_sources = []
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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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search_type: str = SearchTypes.websearch,
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proxy: str = None,
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**kwargs
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) -> AsyncResult:
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headers = {
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"User-Agent": "Mozilla/5.0 (X11; Ubuntu; Linux x86_64; rv:109.0) Gecko/20100101 Firefox/118.0",
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"Accept": "*/*",
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"Accept-Language": "de,en-US;q=0.7,en;q=0.3",
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"Accept-Encoding": "gzip, deflate, br",
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"Referer": f"{cls.url}/rix",
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"Content-Type": "application/json",
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"Origin": cls.url,
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"Connection": "keep-alive",
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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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"Pragma": "no-cache",
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"Cache-Control": "no-cache",
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"TE": "trailers",
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}
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async with ClientSession(headers=headers) as session:
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prompt = messages[-1]["content"]
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cls._sources = []
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if search_type == "websearch":
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async with session.post(
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f"{cls.url}/api/ai/rix/search",
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json={"prompt": prompt},
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proxy=proxy,
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) as response:
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response.raise_for_status()
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cls._sources = (await response.json())["result"]
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data = {
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"chatId": get_random_hex(),
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"history": messages,
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"prompt": prompt,
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"searchType": search_type,
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"urlToScan": None,
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"searchResults": cls._sources,
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}
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async with session.post(
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f"{cls.url}/api/ai/rix/completion",
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json=data,
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proxy=proxy,
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) as response:
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response.raise_for_status()
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async for chunk in response.content.iter_any():
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if chunk:
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yield chunk.decode()
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@classmethod
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def get_sources(cls) -> list:
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return [{
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"title": source["name"],
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"url": source["url"]
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} for source in cls._sources] |