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* [Feature] add metrics for ZMQ and fix multiprocess metrics * fix test_metrics.py --------- Co-authored-by: Jiaxin Sui <95567040+plusNew001@users.noreply.github.com>
185 lines
6.4 KiB
Python
185 lines
6.4 KiB
Python
"""
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# Copyright (c) 2025 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License"
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""
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import time
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from abc import ABC, abstractmethod
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from multiprocessing.reduction import ForkingPickler
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import zmq
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from zmq.utils import jsonapi
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from fastdeploy.metrics.metrics import main_process_metrics
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from fastdeploy.metrics.stats import ZMQMetricsStats
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from fastdeploy.utils import llm_logger
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class ZmqClientBase(ABC):
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"""
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ZmqClientBase is a base class that provides a client-side interface for sending and receiving messages using ZeroMQ.
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"""
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def __init__(self):
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self.address = None
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pass
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@abstractmethod
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def _create_socket(self):
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"""Abstract method to create and return a ZeroMQ socket."""
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pass
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def _ensure_socket(self):
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"""Ensure the socket is created before use."""
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if self.socket is None:
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self.socket: zmq.Socket = self._create_socket()
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@abstractmethod
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def connect(self):
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"""
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Connect to the server using the file name specified in the constructor.
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"""
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pass
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def send_json(self, data, flags: int = 0):
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"""Send a Python object as a message using json to serialize.
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Keyword arguments are passed on to json.dumps
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Parameters
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----------
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obj : Python object
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The Python object to send
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flags : int
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Any valid flags for :func:`Socket.send`
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"""
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_zmq_metrics_stats = ZMQMetricsStats()
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try:
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# package data with meta information
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envelope = {"__meta": {"send_ts": time.perf_counter()}, "data": data}
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msg = jsonapi.dumps(envelope)
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# collect zmq send metrics
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_zmq_metrics_stats.msg_bytes_send_total += len(msg)
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return self.socket.send(msg, flags=flags)
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except Exception as e:
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_zmq_metrics_stats.msg_send_failed_total += 1
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raise e
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finally:
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# collect zmq send metrics
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_zmq_metrics_stats.msg_send_total += 1
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main_process_metrics.record_zmq_stats(_zmq_metrics_stats, self.address)
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def recv_json(self, flags: int = 0):
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"""
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Receive a JSON-serializable object from the socket.
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"""
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self._ensure_socket()
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_zmq_metrics_stats = ZMQMetricsStats()
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try:
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# receive from socket
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msg = self.socket.recv(flags=flags)
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data_dict = self.socket._deserialize(msg, lambda buf: jsonapi.loads(buf))
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# collect zmq recv metrics
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_zmq_metrics_stats.msg_bytes_recv_total += len(msg)
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_zmq_metrics_stats.msg_recv_total += 1
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# first check if the received msg is a dict
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if isinstance(data_dict, dict):
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# then check if the dict has "__meta" key
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if "__meta" in data_dict and "send_ts" in data_dict["__meta"]:
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# if so, calculate the delay
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_zmq_metrics_stats.zmq_latency = time.perf_counter() - data_dict["__meta"]["send_ts"]
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return data_dict["data"]
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return data_dict
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finally:
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main_process_metrics.record_zmq_stats(_zmq_metrics_stats, self.address)
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def send_pyobj(self, data, flags: int = 0):
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"""
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Send a Pickle-serializable object over the socket.
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"""
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self._ensure_socket()
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_zmq_metrics_stats = ZMQMetricsStats()
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try:
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envelope = {"__meta": {"send_ts": time.perf_counter()}, "data": data}
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data_bytes = ForkingPickler.dumps(envelope)
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_zmq_metrics_stats.msg_bytes_send_total += len(data_bytes)
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self.socket.send(data_bytes, copy=False, flags=flags)
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except Exception as e:
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_zmq_metrics_stats.msg_send_failed_total += 1
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raise e
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finally:
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_zmq_metrics_stats.msg_send_total += 1
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main_process_metrics.record_zmq_stats(_zmq_metrics_stats, self.address)
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def recv_pyobj(self, flags: int = 0):
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"""
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Receive a Pickle-serializable object from the socket.
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"""
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_zmq_metrics_stats = ZMQMetricsStats()
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self._ensure_socket()
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data_bytes = self.socket.recv(flags=flags)
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envelope = ForkingPickler.loads(data_bytes)
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if isinstance(envelope, dict):
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if "__meta" in envelope and "send_ts" in envelope["__meta"]:
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_zmq_metrics_stats.msg_recv_total += 1
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_zmq_metrics_stats.msg_bytes_recv_total += len(data_bytes)
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_zmq_metrics_stats.zmq_latency = time.perf_counter() - envelope["__meta"]["send_ts"]
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main_process_metrics.record_zmq_stats(_zmq_metrics_stats, self.address)
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return envelope["data"]
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return envelope
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@abstractmethod
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def close(self):
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pass
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class ZmqIpcClient(ZmqClientBase):
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def __init__(self, name, mode):
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self.name = name
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self.mode = mode
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self.file_name = f"/dev/shm/{name}.socket"
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self.context = zmq.Context()
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self.socket = self.context.socket(self.mode)
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def _create_socket(self):
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"""create and return a ZeroMQ socket."""
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self.context = zmq.Context()
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return self.context.socket(self.mode)
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def connect(self):
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self._ensure_socket()
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address = f"ipc://{self.file_name}"
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self.address = address
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self.socket.connect(address)
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def close(self):
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"""
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Close the socket and context.
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"""
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llm_logger.info("ZMQ client is closing connection...")
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try:
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if self.socket is not None and not self.socket.closed:
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self.socket.setsockopt(zmq.LINGER, 0)
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self.socket.close()
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if self.context is not None:
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self.context.term()
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except Exception as e:
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llm_logger.warning(f"ZMQ client failed to close connection - {e}")
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return
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