nova-api/api/streaming.py
2023-08-05 02:30:42 +02:00

171 lines
5 KiB
Python

import os
import yaml
import json
import asyncio
import aiohttp
import starlette
from rich import print
from dotenv import load_dotenv
from python_socks._errors import ProxyError
import proxies
import load_balancing
from db import logs, users, stats
from helpers import network, chat
load_dotenv()
DEMO_PAYLOAD = {
'model': 'gpt-3.5-turbo',
'messages': [
{
'role': 'user',
'content': '1+1='
}
]
}
with open('config/credits.yml', encoding='utf8') as f:
max_credits = yaml.safe_load(f)['max-credits']
async def stream(
path: str='/v1/chat/completions',
user: dict=None,
payload: dict=None,
credits_cost: int=0,
demo_mode: bool=False,
input_tokens: int=0,
incoming_request: starlette.requests.Request=None,
):
payload = payload or DEMO_PAYLOAD
is_chat = False
if 'chat/completions' in path:
is_chat = True
chat_id = await chat.create_chat_id()
model = payload['model']
yield chat.create_chat_chunk(
chat_id=chat_id,
model=model,
content=chat.CompletionStart
)
yield chat.create_chat_chunk(
chat_id=chat_id,
model=model,
content=None
)
for _ in range(5):
headers = {
'Content-Type': 'application/json'
}
if is_chat:
target_request = await load_balancing.balance_chat_request(payload)
else:
target_request = await load_balancing.balance_organic_request({
'path': path,
'payload': payload,
'headers': headers
})
for k, v in target_request.get('headers', {}).items():
headers[k] = v
async with aiohttp.ClientSession(connector=proxies.default_proxy.connector) as session:
try:
async with session.request(
method=target_request.get('method', 'POST'),
url=target_request['url'],
data=target_request.get('data'),
json=target_request.get('payload'),
headers=headers,
cookies=target_request.get('cookies'),
ssl=False,
timeout=aiohttp.ClientTimeout(total=float(os.getenv('TRANSFER_TIMEOUT', '120'))),
) as response:
try:
response.raise_for_status()
except Exception as exc:
if 'Too Many Requests' in str(exc):
print(429)
continue
if user and incoming_request:
await logs.log_api_request(
user=user,
incoming_request=incoming_request,
target_url=target_request['url']
)
if credits_cost and user:
await users.update_by_id(user['_id'], {
'$inc': {'credits': -credits_cost}
})
try:
async for chunk in response.content.iter_any():
chunk = f'{chunk.decode("utf8")}\n\n'
if chunk.strip():
if is_chat:
if target_request['module'] == 'twa':
data = json.loads(chunk.split('data: ')[1])
if data.get('text'):
chunk = chat.create_chat_chunk(
chat_id=chat_id,
model=model,
content=['text']
)
yield chunk
except Exception as exc:
if 'Connection closed' in str(exc):
print('connection closed')
continue
if not demo_mode:
ip_address = await network.get_ip(incoming_request)
await stats.add_date()
await stats.add_ip_address(ip_address)
await stats.add_path(path)
await stats.add_target(target_request['url'])
if is_chat:
await stats.add_model(model)
await stats.add_tokens(input_tokens, model)
break
except ProxyError:
print('proxy error')
continue
print(3)
if is_chat:
chat_chunk = chat.create_chat_chunk(
chat_id=chat_id,
model=model,
content=chat.CompletionStop
)
data = json.dumps(chat_chunk)
yield 'data: [DONE]\n\n'
if __name__ == '__main__':
asyncio.run(stream())