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from json import loads
from re import match
from time import time, sleep
from typing import Generator, Optional
from uuid import uuid4
from fake_useragent import UserAgent
from requests import post
from tls_client import Session
from .mail import Mail
from .models 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
start = time()
mail_client = Mail(proxies)
mail_token = None
mail_address = mail_client.get_mail()
# print(mail_address)
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=4.32.6',
data={'email_address': mail_address},
)
trace_token = response.json()['response']['id']
if logging:
print(trace_token)
response = client.post(
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/prepare_verification?_clerk_js_version=4.32.6',
data={
'strategy': 'email_code',
},
)
if logging:
print(response.text)
if 'sign_up_attempt' not in response.text:
return 'Failed to create account!'
while True:
sleep(1)
for _ in mail_client.fetch_inbox():
if logging:
print(mail_client.get_message_content(_['id']))
mail_token = match(r'(\d){5,6}', mail_client.get_message_content(_['id'])).group(0)
if mail_token:
break
if logging:
print(mail_token)
response = client.post(
f'https://clerk.forefront.ai/v1/client/sign_ups/{trace_token}/attempt_verification?_clerk_js_version=4.38.4',
data={'code': mail_token, 'strategy': 'email_code'},
)
if logging:
print(response.json())
token = response.json()['client']['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',
) -> Generator[ForeFrontResponse, None, None]:
if not token:
raise Exception('Token is required!')
if not chat_id:
chat_id = str(uuid4())
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,
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',
) -> 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,
):
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
|
