1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
|
from __future__ import annotations
import uuid, json, time, os
import tempfile, shutil, asyncio
import sys, subprocess
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:
dir = os.path.dirname(os.path.dirname(__file__))
include = f'{dir}/npm/node_modules/funcaptcha'
config = {
"pkey": "3D86FBBA-9D22-402A-B512-3420086BA6CC",
"surl": "https://tcr9i.chat.openai.com",
"data": {},
"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",
"proxy": proxy
}
source = """
fun = require({include})
config = {config}
fun.getToken(config).then(token => {
console.log(token.token)
})
"""
source = source.replace('{include}', json.dumps(include))
source = source.replace('{config}', json.dumps(config))
tmp = tempfile.NamedTemporaryFile(delete=False)
tmp.write(source.encode())
tmp.close()
try:
return await exec_js(tmp.name)
finally:
os.unlink(tmp.name)
async def exec_js(file: str) -> str:
node = shutil.which("node")
if not node:
if debug.logging:
print('OpenaiChat: "node" not found')
return
if sys.platform == 'win32':
p = subprocess.Popen(
[node, file],
stdout=subprocess.PIPE,
stderr=subprocess.PIPE
)
stdout, stderr = p.communicate()
if p.returncode == 0:
return stdout.decode()
raise RuntimeError(f"Exec Error: {stderr.decode()}")
p = await asyncio.create_subprocess_exec(
node, file,
stderr=asyncio.subprocess.PIPE,
stdout=asyncio.subprocess.PIPE
)
stdout, stderr = await p.communicate()
if p.returncode == 0:
return stdout.decode()
raise RuntimeError(f"Exec Error: {stderr.decode()}")
|
