94 lines
2.9 KiB
Python
94 lines
2.9 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 import opts
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from llm_server.routes.cache import redis
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def increment_ip_count(client_ip: int, redis_key):
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ip_count = redis.get_dict(redis_key)
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ip_count[client_ip] = ip_count.get(client_ip, 0) + 1
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redis.set_dict(redis_key, ip_count)
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return ip_count
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def decrement_ip_count(client_ip: int, redis_key):
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ip_count = redis.get_dict(redis_key)
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if client_ip in ip_count.keys():
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ip_count[client_ip] -= 1
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if ip_count[client_ip] == 0:
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del ip_count[client_ip] # Remove the IP from the dictionary if count is 0
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redis.set_dict(redis_key, ip_count)
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return ip_count
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class RedisPriorityQueue:
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def __init__(self):
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self.redis = Redis(host='localhost', port=6379, db=15)
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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):
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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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if ip_count and int(ip_count) >= opts.simultaneous_requests_per_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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self.redis.zadd('queue', {json.dumps((item, event.event_id)): -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(0.5) # wait for something to be added to the queue
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def increment_ip_count(self, ip, key):
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self.redis.hincrby(key, ip, 1)
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def decrement_ip_count(self, ip, key):
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self.redis.hincrby(key, ip, -1)
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def __len__(self):
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return self.redis.zcard('queue')
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def get_ip_count(self, client_ip: str):
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x = self.redis.hget('queued_ip_count', client_ip)
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if x:
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return x.decode('utf-8')
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else:
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return x
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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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