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from __future__ import annotations
import uuid, json, time, os
from py_arkose_generator.arkose import get_values_for_request
from ..base_provider import AsyncGeneratorProvider
from ..helper import get_browser, get_cookies, format_prompt, get_event_loop
from ...typing import AsyncResult, Messages
from ...requests import StreamSession
from ... import debug
class OpenaiChat(AsyncGeneratorProvider):
url = "https://chat.openai.com"
needs_auth = True
working = True
supports_gpt_35_turbo = True
_access_token = None
@classmethod
async def create_async_generator(
cls,
model: str,
messages: Messages,
proxy: str = None,
timeout: int = 120,
access_token: str = None,
cookies: dict = None,
**kwargs
) -> AsyncResult:
proxies = {"https": proxy}
if not access_token:
access_token = await cls.get_access_token(cookies, proxies)
headers = {
"Accept": "text/event-stream",
"Authorization": f"Bearer {access_token}",
}
async with StreamSession(
proxies=proxies,
headers=headers,
impersonate="chrome107",
timeout=timeout
) as session:
messages = [
{
"id": str(uuid.uuid4()),
"author": {"role": "user"},
"content": {"content_type": "text", "parts": [format_prompt(messages)]},
},
]
data = {
"action": "next",
"arkose_token": await get_arkose_token(proxy),
"messages": messages,
"conversation_id": None,
"parent_message_id": str(uuid.uuid4()),
"model": "text-davinci-002-render-sha",
"history_and_training_disabled": True,
}
async with session.post(f"{cls.url}/backend-api/conversation", json=data) as response:
response.raise_for_status()
last_message = ""
async for line in response.iter_lines():
if line.startswith(b"data: "):
line = line[6:]
if line == b"[DONE]":
break
try:
line = json.loads(line)
except:
continue
if "message" not in line:
continue
if "error" in line and line["error"]:
raise RuntimeError(line["error"])
if "message_type" not in line["message"]["metadata"]:
continue
if line["message"]["metadata"]["message_type"] == "next":
new_message = line["message"]["content"]["parts"][0]
yield new_message[len(last_message):]
last_message = new_message
@classmethod
async def browse_access_token(cls) -> str:
def browse() -> str:
try:
from selenium.webdriver.common.by import By
from selenium.webdriver.support.ui import WebDriverWait
from selenium.webdriver.support import expected_conditions as EC
driver = get_browser()
except ImportError:
return
driver.get(f"{cls.url}/")
try:
WebDriverWait(driver, 1200).until(
EC.presence_of_element_located((By.ID, "prompt-textarea"))
)
javascript = "return (await (await fetch('/api/auth/session')).json())['accessToken']"
return driver.execute_script(javascript)
finally:
driver.close()
time.sleep(0.1)
driver.quit()
loop = get_event_loop()
return await loop.run_in_executor(
None,
browse
)
@classmethod
async def fetch_access_token(cls, cookies: dict, proxies: dict = None) -> str:
async with StreamSession(proxies=proxies, cookies=cookies, impersonate="chrome107") as session:
async with session.get(f"{cls.url}/api/auth/session") as response:
response.raise_for_status()
auth = await response.json()
if "accessToken" in auth:
return auth["accessToken"]
@classmethod
async def get_access_token(cls, cookies: dict = None, proxies: dict = None) -> str:
if not cls._access_token:
cookies = cookies if cookies else get_cookies("chat.openai.com")
if cookies:
cls._access_token = await cls.fetch_access_token(cookies, proxies)
if not cls._access_token:
cls._access_token = await cls.browse_access_token()
if not cls._access_token:
raise RuntimeError("Read access token failed")
return cls._access_token
@classmethod
@property
def params(cls):
params = [
("model", "str"),
("messages", "list[dict[str, str]]"),
("stream", "bool"),
("proxy", "str"),
("access_token", "str"),
("cookies", "dict[str, str]")
]
param = ", ".join([": ".join(p) for p in params])
return f"g4f.provider.{cls.__name__} supports: ({param})"
async def get_arkose_token(proxy: str = None) -> str:
config = {
"pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC",
"surl": "https://tcr9i.chat.openai.com",
"headers": {
"User-Agent": 'Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/107.0.0.0 Safari/537.36'
},
"site": "https://chat.openai.com",
}
args_for_request = get_values_for_request(config)
async with StreamSession(
proxies={"https": proxy},
impersonate="chrome107",
) as session:
async with session.post(**args_for_request) as response:
response.raise_for_status()
decoded_json = await response.json()
if "token" in decoded_json:
return decoded_json["token"]
raise RuntimeError(f"Response: {decoded_json}")
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