128 lines
4.0 KiB
Python
128 lines
4.0 KiB
Python
import json
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import pickle
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import time
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from uuid import uuid4
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from redis import Redis
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from llm_server.custom_redis import RedisCustom, redis
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from llm_server.database.database import get_token_ratelimit
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def increment_ip_count(client_ip: str, redis_key):
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redis.hincrby(redis_key, client_ip, 1)
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def decrement_ip_count(client_ip: str, redis_key):
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new_count = redis.hincrby(redis_key, client_ip, -1)
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if new_count <= 0:
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redis.hdel(redis_key, client_ip)
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class RedisPriorityQueue:
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def __init__(self, name: str = 'priority_queue', db: int = 12):
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self.redis = RedisCustom(name, db=db)
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self.pubsub = self.redis.pubsub()
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self.pubsub.subscribe('events')
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def put(self, item, priority, selected_model):
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event = DataEvent()
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# Check if the IP is already in the dictionary and if it has reached the limit
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ip_count = self.redis.hget('queued_ip_count', item[1])
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if ip_count:
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ip_count = int(ip_count)
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_, simultaneous_ip = get_token_ratelimit(item[2])
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if ip_count and int(ip_count) >= simultaneous_ip and priority != 0:
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print(f'Rejecting request from {item[1]} - {ip_count} requests in progress.')
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return None # reject the request
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print('--->', event.event_id)
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self.redis.zadd('queue', {json.dumps((item, event.event_id, selected_model)): -priority})
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self.increment_ip_count(item[1], 'queued_ip_count')
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return event
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def get(self):
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while True:
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data = self.redis.zpopmin('queue')
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if data:
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item = json.loads(data[0][0])
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client_ip = item[0][1]
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self.decrement_ip_count(client_ip, 'queued_ip_count')
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return item
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time.sleep(0.1) # wait for something to be added to the queue
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def print_all_items(self):
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items = self.redis.zrange('queue', 0, -1)
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print(items)
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for item in items:
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print(item.decode('utf-8'))
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def increment_ip_count(self, client_ip: str, redis_key):
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new_count = self.redis.hincrby(redis_key, client_ip, 1)
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print(client_ip, new_count)
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def decrement_ip_count(self, client_ip: str, redis_key):
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new_count = self.redis.hincrby(redis_key, client_ip, -1)
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print(client_ip, new_count)
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if new_count <= 0:
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self.redis.hdel(redis_key, client_ip)
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def __len__(self):
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return self.redis.zcard('queue')
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def len(self, model_name):
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count = 0
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for key in self.redis.zrange('queue', 0, -1):
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item = json.loads(key)
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if item[2] == model_name:
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count += 1
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return count
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def get_queued_ip_count(self, client_ip: str):
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q = self.redis.hget('queued_ip_count', client_ip)
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if not q:
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return 0
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return 0
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def flush(self):
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self.redis.flush()
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class DataEvent:
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def __init__(self, event_id=None):
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self.event_id = event_id if event_id else str(uuid4())
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self.redis = Redis(host='localhost', port=6379, db=14)
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self.pubsub = self.redis.pubsub()
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self.pubsub.subscribe(self.event_id)
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def set(self, data):
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self.redis.publish(self.event_id, pickle.dumps(data))
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def wait(self):
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for item in self.pubsub.listen():
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if item['type'] == 'message':
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return pickle.loads(item['data'])
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priority_queue = RedisPriorityQueue()
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def update_active_workers(key: str, operation: str):
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if operation == 'incr':
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redis.incr(f'active_gen_workers:{key}')
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elif operation == 'decr':
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redis.decr(f'active_gen_workers:{key}')
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if redis.get(f'active_gen_workers:{key}', default=0, dtype=int) < 0:
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redis.set(f'active_gen_workers:{key}', 0)
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def incr_active_workers(selected_model: str, backend_url: str):
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update_active_workers(selected_model, 'incr')
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update_active_workers(backend_url, 'incr')
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def decr_active_workers(selected_model: str, backend_url: str):
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update_active_workers(selected_model, 'decr')
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update_active_workers(backend_url, 'decr')
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