from json import loads
from xtempmail import Email
from re import findall
from typing import Optional, Generator
from faker import Faker
from time import time, sleep
from uuid import uuid4
from fake_useragent import UserAgent
from requests import post
from tls_client import Session
from .typing import ForeFrontResponse
class Account:
@staticmethod
def create(proxy: Optional[str] = None, logging: bool = False):
proxies = {'http': 'http://' + proxy, 'https': 'http://' + proxy} if proxy else False
faker = Faker()
name = (faker.name().replace(' ', '_')).lower()
start = time()
mail_client = Email(name=name)
mail_address = mail_client.email
client = Session(client_identifier='chrome110')
client.proxies = proxies
client.headers = {
'origin': 'https://accounts.forefront.ai',
'user-agent': UserAgent().random,
}
response = client.post(
'https://clerk.forefront.ai/v1/client/sign_ups?_clerk_js_version=4.38.4',
data={'email_address': mail_address},
)
try:
trace_token = response.json()['response']['id']
if logging:
print(trace_token)
except KeyError:
return 'Failed to create account!'
response = client.post(
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.38.4',
data={
'strategy': 'email_link',
'redirect_url': 'https://accounts.forefront.ai/sign-up/verify'
},
)
if logging:
print(response.text)
if 'sign_up_attempt' not in response.text:
return 'Failed to create account!'
verification_url = None
new_message = mail_client.get_new_message(5)
for msg in new_message:
verification_url = findall(r'https:\/\/clerk\.forefront\.ai\/v1\/verify\?token=\w.+', msg.text)[0]
if verification_url:
break
if verification_url is None or not verification_url:
raise RuntimeError('Error while obtaining verfication URL!')
if logging:
print(verification_url)
response = client.get(verification_url)
response = client.get('https://clerk.forefront.ai/v1/client?_clerk_js_version=4.38.4')
token = response.json()['response']['sessions'][0]['last_active_token']['jwt']
with open('accounts.txt', 'a') as f:
f.write(f'{mail_address}:{token}\n')
if logging:
print(time() - start)
return token
class StreamingCompletion:
@staticmethod
def create(
token=None,
chat_id=None,
prompt='',
action_type='new',
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4',
proxy=None
) -> Generator[ForeFrontResponse, None, None]:
if not token:
raise Exception('Token is required!')
if not chat_id:
chat_id = str(uuid4())
proxies = { 'http': 'http://' + proxy, 'https': 'http://' + proxy } if proxy else None
headers = {
'authority': 'chat-server.tenant-forefront-default.knative.chi.coreweave.com',
'accept': '*/*',
'accept-language': 'en,fr-FR;q=0.9,fr;q=0.8,es-ES;q=0.7,es;q=0.6,en-US;q=0.5,am;q=0.4,de;q=0.3',
'authorization': 'Bearer ' + token,
'cache-control': 'no-cache',
'content-type': 'application/json',
'origin': 'https://chat.forefront.ai',
'pragma': 'no-cache',
'referer': 'https://chat.forefront.ai/',
'sec-ch-ua': '"Chromium";v="112", "Google Chrome";v="112", "Not:A-Brand";v="99"',
'sec-ch-ua-mobile': '?0',
'sec-ch-ua-platform': '"macOS"',
'sec-fetch-dest': 'empty',
'sec-fetch-mode': 'cors',
'sec-fetch-site': 'cross-site',
'user-agent': UserAgent().random,
}
json_data = {
'text': prompt,
'action': action_type,
'parentId': chat_id,
'workspaceId': chat_id,
'messagePersona': default_persona,
'model': model,
}
for chunk in post(
'https://chat-server.tenant-forefront-default.knative.chi.coreweave.com/chat',
headers=headers,
proxies=proxies,
json=json_data,
stream=True,
).iter_lines():
if b'finish_reason":null' in chunk:
data = loads(chunk.decode('utf-8').split('data: ')[1])
token = data['choices'][0]['delta'].get('content')
if token is not None:
yield ForeFrontResponse(
**{
'id': chat_id,
'object': 'text_completion',
'created': int(time()),
'text': token,
'model': model,
'choices': [{'text': token, 'index': 0, 'logprobs': None, 'finish_reason': 'stop'}],
'usage': {
'prompt_tokens': len(prompt),
'completion_tokens': len(token),
'total_tokens': len(prompt) + len(token),
},
}
)
class Completion:
@staticmethod
def create(
token=None,
chat_id=None,
prompt='',
action_type='new',
default_persona='607e41fe-95be-497e-8e97-010a59b2e2c0', # default
model='gpt-4',
proxy=None
) -> ForeFrontResponse:
text = ''
final_response = None
for response in StreamingCompletion.create(
token=token,
chat_id=chat_id,
prompt=prompt,
action_type=action_type,
default_persona=default_persona,
model=model,
proxy=proxy
):
if response:
final_response = response
text += response.text
if final_response:
final_response.text = text
else:
raise Exception('Unable to get the response, Please try again')
return final_response
