67 lines
1.6 KiB
Python
67 lines
1.6 KiB
Python
import heapq
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import threading
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import time
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from llm_server.llm.generator import generator
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from llm_server.routes.cache import redis
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from llm_server.routes.stats import generation_elapsed, generation_elapsed_lock
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class PriorityQueue:
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def __init__(self):
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self._queue = []
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self._index = 0
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self._cv = threading.Condition()
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def put(self, item, priority):
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event = DataEvent()
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with self._cv:
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heapq.heappush(self._queue, (-priority, self._index, item, event))
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self._index += 1
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self._cv.notify()
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return event
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def get(self):
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with self._cv:
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while len(self._queue) == 0:
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self._cv.wait()
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return heapq.heappop(self._queue)
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def __len__(self):
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return len(self._queue)
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priority_queue = PriorityQueue()
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class DataEvent(threading.Event):
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def __init__(self):
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super().__init__()
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self.data = None
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def worker():
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global active_gen_workers
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while True:
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priority, index, (request_json_body, client_ip, token, parameters), event = priority_queue.get()
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redis.incr('active_gen_workers')
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start_time = time.time()
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success, response, error_msg = generator(request_json_body)
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end_time = time.time()
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elapsed_time = end_time - start_time
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with generation_elapsed_lock:
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generation_elapsed.append((end_time, elapsed_time))
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event.data = (success, response, error_msg)
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event.set()
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redis.decr('active_gen_workers')
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def start_workers(num_workers: int):
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for _ in range(num_workers):
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threading.Thread(target=worker).start()
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