nova-api/api/handler.py
2023-10-12 00:03:15 +02:00

174 lines
6 KiB
Python

"""Does quite a few checks and prepares the incoming request for the target endpoint, so it can be streamed"""
import os
import json
import yaml
import time
import fastapi
from dotenv import load_dotenv
import responder
import moderation
from rich import print
from db.users import UserManager
from helpers import tokens, errors, network
load_dotenv()
users = UserManager()
with open(os.path.join('cache', 'models.json'), encoding='utf8') as f:
models_list = json.load(f)
models = [model['id'] for model in models_list['data']]
with open(os.path.join('config', 'config.yml'), encoding='utf8') as f:
config = yaml.safe_load(f)
moderation_debug_key_key = os.getenv('MODERATION_DEBUG_KEY')
async def handle(incoming_request: fastapi.Request):
"""Transfer a streaming response
Takes the request from the incoming request to the target endpoint.
Checks method, token amount, auth and cost along with if request is NSFW.
"""
path = incoming_request.url.path
path = path.replace('/v1/v1', '/v1')
ip_address = await network.get_ip(incoming_request)
if '/dashboard' in path:
return errors.error(404, 'You can\'t access /dashboard.', 'This is a private endpoint.')
if path.startswith('/v1/models'):
return fastapi.responses.JSONResponse(content=models_list)
try:
payload = await incoming_request.json()
except json.decoder.JSONDecodeError:
payload = {}
except UnicodeDecodeError:
payload = {}
received_key = incoming_request.headers.get('Authorization')
if not received_key or not received_key.startswith('Bearer '):
return await errors.error(401, 'No NovaAI API key given!', 'Add \'Authorization: Bearer nv-...\' to your request headers.')
key_tags = ''
if '#' in received_key:
key_tags = received_key.split('#')[1]
received_key = received_key.split('#')[0]
user = await users.user_by_api_key(received_key.split('Bearer ')[1].strip())
if not user or not user['status']['active']:
return await errors.error(418, 'Invalid or inactive NovaAI API key!', 'Create a new NovaOSS API key or reactivate your account.')
ban_reason = user['status']['ban_reason']
if ban_reason:
return await errors.error(403, f'Your NovaAI account has been banned. Reason: \'{ban_reason}\'.', 'Contact the staff for an appeal.')
# Checking for enterprise status
enterprise_keys = os.environ.get('ENTERPRISE_KEYS')
if path.startswith('/enterprise/v1') and user.get('api_key') not in enterprise_keys.split():
return await errors.error(403, 'Enterprise API is not available.', 'Contact the staff for an upgrade.')
if 'account/credits' in path:
return fastapi.responses.JSONResponse({'credits': user['credits']})
costs = config['costs']
cost = costs['other']
if 'chat/completions' in path:
cost = costs['chat-models'].get(payload.get('model'), cost)
role = user.get('role', 'default')
try:
role_cost_multiplier = config['roles'][role]['bonus']
except KeyError:
role_cost_multiplier = 1
cost = round(cost * role_cost_multiplier)
if user['credits'] < cost:
return await errors.error(429, 'Not enough credits.', 'Wait or earn more credits. Learn more on our website or Discord server.')
if 'DISABLE_VARS' not in key_tags:
payload_with_vars = json.dumps(payload)
replace_dict = {
'timestamp': str(int(time.time())),
'date': time.strftime('%Y-%m-%d'),
'time': time.strftime('%H:%M:%S'),
'datetime': time.strftime('%Y-%m-%d %H:%M:%S'),
'model': payload.get('model', 'unknown'),
}
if 'ALLOW_INSECURE_VARS' in key_tags:
replace_dict.update({
'my.ip': ip_address,
'my.id': str(user['_id']),
'my.role': user.get('role', 'default'),
'my.credits': str(user['credits']),
'my.discord': user.get('auth', {}).get('discord', ''),
})
for key, value in replace_dict.items():
payload_with_vars = payload_with_vars.replace(f'[[{key}]]', value)
payload = json.loads(payload_with_vars)
policy_violation = False
if not (moderation_debug_key_key and moderation_debug_key_key in key_tags and 'gpt-3' in payload.get('model', '')):
if '/moderations' not in path:
inp = ''
if 'input' in payload or 'prompt' in payload:
inp = payload.get('input', payload.get('prompt', ''))
if isinstance(payload.get('messages'), list):
inp = ''
for message in payload.get('messages', []):
if message.get('role') == 'user':
inp += message.get('content', '') + '\n'
if 'functions' in payload:
inp += '\n'.join([function.get('description', '') for function in payload.get('functions', [])])
if inp and len(inp) > 2 and not inp.isnumeric():
policy_violation = await moderation.is_policy_violated(inp)
if policy_violation:
return await errors.error(
400, f'The request contains content which violates this model\'s policies for <{policy_violation}>.',
'We currently don\'t support any NSFW models.'
)
if 'chat/completions' in path and not payload.get('stream', False):
payload['stream'] = False
if 'chat/completions' in path and not payload.get('model'):
payload['model'] = 'gpt-3.5-turbo'
media_type = 'text/event-stream' if payload.get('stream', False) else 'application/json'
if (model := payload.get('model')) not in models and model is not None:
return await errors.error(404, 'Model not found.', 'Check the model name and try again.')
return fastapi.responses.StreamingResponse(
content=responder.respond(
user=user,
path=path,
payload=payload,
credits_cost=cost,
input_tokens=0,
incoming_request=incoming_request,
),
media_type=media_type
)