mirror of
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130 lines
4.8 KiB
Python
130 lines
4.8 KiB
Python
from __future__ import annotations
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import uuid, json, time
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from ..base_provider import AsyncGeneratorProvider
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from ..helper import get_browser, get_cookies, format_prompt
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from ...typing import AsyncResult, Messages
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from ...requests import StreamSession
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class OpenaiChat(AsyncGeneratorProvider):
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url = "https://chat.openai.com"
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needs_auth = True
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working = True
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supports_gpt_35_turbo = True
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_access_token = None
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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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timeout: int = 120,
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access_token: str = None,
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cookies: dict = None,
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**kwargs
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) -> AsyncResult:
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proxies = {"https": proxy}
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if not access_token:
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access_token = await cls.get_access_token(cookies, proxies)
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headers = {
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"Accept": "text/event-stream",
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"Authorization": f"Bearer {access_token}",
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}
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async with StreamSession(
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proxies=proxies,
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headers=headers,
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impersonate="chrome107",
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timeout=timeout
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) as session:
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messages = [
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{
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"id": str(uuid.uuid4()),
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"author": {"role": "user"},
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"content": {"content_type": "text", "parts": [format_prompt(messages)]},
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},
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]
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data = {
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"action": "next",
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"messages": messages,
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"conversation_id": None,
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"parent_message_id": str(uuid.uuid4()),
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"model": "text-davinci-002-render-sha",
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"history_and_training_disabled": True,
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}
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async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
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response.raise_for_status()
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last_message = ""
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async for line in response.iter_lines():
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if line.startswith(b"data: "):
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line = line[6:]
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if line == b"[DONE]":
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break
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try:
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line = json.loads(line)
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except:
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continue
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if "message" not in line or "message_type" not in line["message"]["metadata"]:
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continue
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if line["message"]["metadata"]["message_type"] == "next":
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new_message = line["message"]["content"]["parts"][0]
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yield new_message[len(last_message):]
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last_message = new_message
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@classmethod
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def browse_access_token(cls) -> str:
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try:
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from selenium.webdriver.common.by import By
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from selenium.webdriver.support.ui import WebDriverWait
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from selenium.webdriver.support import expected_conditions as EC
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driver = get_browser()
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except ImportError:
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return
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driver.get(f"{cls.url}/")
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try:
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WebDriverWait(driver, 1200).until(
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EC.presence_of_element_located((By.ID, "prompt-textarea"))
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)
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javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
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return driver.execute_script(javascript)
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finally:
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time.sleep(1)
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driver.quit()
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@classmethod
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async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
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async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
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async with session.get(f"{cls.url}/api/auth/session") as response:
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response.raise_for_status()
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auth = await response.json()
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if "accessToken" in auth:
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return auth["accessToken"]
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@classmethod
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async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
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if not cls._access_token:
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cookies = cookies if cookies else get_cookies("chat.openai.com")
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if cookies:
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cls._access_token = await cls.fetch_access_token(cookies, proxies)
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if not cls._access_token:
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cls._access_token = cls.browse_access_token()
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if not cls._access_token:
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raise RuntimeError("Read access token failed")
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return cls._access_token
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@classmethod
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@property
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def params(cls):
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params = [
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("model", "str"),
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("messages", "list[dict[str, str]]"),
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("stream", "bool"),
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("proxy", "str"),
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("access_token", "str"),
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("cookies", "dict[str, str]")
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]
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param = ", ".join([": ".join(p) for p in params])
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return f"g4f.provider.{cls.__name__} supports: ({param})" |