初始化项目
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zeaslity
387
agent-common/SplitProject/ranjing-python-devfusion/Dev_Fusion.py
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387
agent-common/SplitProject/ranjing-python-devfusion/Dev_Fusion.py
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import random
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import threading
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from queue import Queue
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from paho.mqtt import client as mqtt_client
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import numpy as np
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import time
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import logging
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import os
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import datetime
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from KF_V2 import *
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from utils import *
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from config import *
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import argparse
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import json
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import yaml
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# 首先加载yaml配置
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def load_mqtt_config():
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config_path = os.getenv('CONFIG_PATH', 'config.yaml')
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with open(config_path, 'r') as f:
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config = yaml.safe_load(f)
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return config['mqtt'], config['topics']
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# 获取MQTT和topics配置
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mqtt_config, topics_config = load_mqtt_config()
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## =======================
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# MQTT 代理地址
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# broker = '192.168.36.234'
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# port = 37826
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# username = "cmlc"
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# password = "odD8#Ve7.B"
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client_id = f'python-mqtt-{random.randint(0, 100)}'
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# 创建 ArgumentParser 对象
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parser = argparse.ArgumentParser(description='处理命令行参数')
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# 添加参数 task_id，简称 t，类型为 int，默认值为 1
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parser.add_argument('-t', '--task_id', type=str, default="+", help='任务ID')
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# 添加参数 gate，简称 g，类型为 str，默认值为 "default_gate"
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parser.add_argument('-g', '--gate', type=int, default=30, help='门限值')
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# 添加参数 interval，简称 i，类型为 float，默认值为 1.0
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parser.add_argument('-i', '--interval', type=float, default=1.0, help='时间间隔')
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# 解析命令行参数
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args = parser.parse_args()
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# 实例化 DataFusion 类
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fusion_instance = DataFusion(
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gate=args.gate,
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interval=args.interval,
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)
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global task_id
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task_id = "10087"
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# 从yaml的mqtt_topic中提取基础路径
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base_path = topics_config['mqtt_topic'].split('/')[0] # 获取"bridge"
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# 更新数据上报的主题格式
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providerCode = "DP74b4ef9fb4aaf269"
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fusionCode = "DPZYLY"
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deviceType = "5ga"
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fusionType = "fusion"
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deviceId = "10580005"
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fusionId = "554343465692430336"
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sensor_id_list = ["80103"]
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# 使用base_path构建topic
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topic = f"{base_path}/{providerCode}/device_data/{deviceType}/{deviceId}"
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# 从yaml的sensor_topic中提取基础路径
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base_topic = topics_config['sensor_topic'].split('FU_PAM')[0] # 得到 "fromcheck/DP74b4ef9fb4aaf269/device_data/"
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# 订阅主题 - 基于yaml格式构建
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subscribe_topic = f"{base_topic}5ga/10000000000000" # 将FU_PAM替换为5ga,将+替换为具体ID
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# 发布融合结果的主题
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# fusionId的来源是下发任务时的ID
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publish_topic = f"fromcheck/{fusionCode}/device_data/{fusionType}/{task_id}"
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# 更新运行参数的主题
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fusion_parameters_topic = topics_config['sensor_topic']
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# 生成唯一的 client_id
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# 数据池
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data_pool = Queue()
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run_parameter = None
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interval = args.interval
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# 定义参考点 PO（纬度, 经度）
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global reference_point
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reference_point = (104.08, 30.51) # 参考点的经纬度
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# 数据池
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data_pool = Queue()
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run_parameter = None
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# 初始化数据处理类
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pipe = Pipeline(fusion_parameters_topic=topics_config['sensor_topic'], reference_point=reference_point)
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fusion_code = "FU_PAM/"+args.task_id
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# 设置日志记录
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def setup_logging():
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# 创建logs目录（如果不存在）
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if not os.path.exists('logs'):
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os.makedirs('logs')
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# 设置日志文件名（包含日期）
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current_time = datetime.datetime.now()
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error_log_filename = f'logs/mqtt_connection_{current_time.strftime("%Y%m%d")}_error.log'
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# 配置总的日志记录器
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logging.basicConfig(
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level=logging.INFO, # 记录所有信息
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format='%(asctime)s - %(levelname)s - %(message)s',
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handlers=[
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logging.StreamHandler() # 同时输出到控制台
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]
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)
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# 配置错误日志记录器
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error_logger = logging.getLogger('error_logger')
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error_logger.setLevel(logging.ERROR)
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# 创建文件处理器
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error_handler = logging.FileHandler(error_log_filename)
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error_handler.setFormatter(logging.Formatter('%(asctime)s - %(levelname)s - %(message)s'))
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# 添加处理器到错误日志记录器
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error_logger.addHandler(error_handler)
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def connect_mqtt() -> mqtt_client:
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def on_connect(client, userdata, flags, rc):
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if rc == 0:
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logging.info("Successfully connected to MQTT Broker")
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logging.info(f"Client ID: {client_id}")
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logging.info(f"Broker: {mqtt_config['broker']}:{mqtt_config['port']}")
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# 重新订阅主题
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client.subscribe(fusion_parameters_topic)
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logging.info(f"Subscribed to fusion parameters topic: {fusion_parameters_topic}")
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if hasattr(pipe, 'topics'):
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for topic in pipe.topics:
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client.subscribe(topic)
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logging.info(f"Subscribed to topic: {topic}")
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else:
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logging.error(f"Failed to connect, return code: {rc} ({DISCONNECT_REASONS.get(rc, '未知错误')})")
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def on_disconnect(client, userdata, rc):
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current_time = datetime.datetime.now()
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reason = DISCONNECT_REASONS.get(rc, "未知错误")
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logging.warning(f"Disconnected from MQTT Broker at {current_time.strftime('%Y-%m-%d %H:%M:%S')}")
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logging.warning(f"Disconnect reason code: {rc} - {reason}")
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if rc != 0:
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logging.error("Unexpected disconnection. Attempting to reconnect...")
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try:
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client.reconnect()
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logging.info("Reconnection successful")
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except Exception as e:
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current_time = datetime.datetime.now()
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logging.error(f"Reconnection failed at {current_time.strftime('%Y-%m-%d %H:%M:%S')}: {str(e)}")
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logging.error(f"Exception type: {type(e).__name__}")
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logging.error(f"Stack trace:", exc_info=True)
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client = mqtt_client.Client(client_id, clean_session=True)
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client.username_pw_set(mqtt_config['username'], mqtt_config['password'])
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# 设置保活时间和重试间隔
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client.keepalive = 60 # 60秒的保活时间
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client.socket_timeout = 30 # 30秒的socket超时
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client.reconnect_delay_set(min_delay=1, max_delay=60) # 重连延迟在1-60秒之间
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# 设置遗嘱消息（last will message）
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will_topic = f"fromcheck/{fusionCode}/status/{task_id}"
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will_payload = "offline"
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client.will_set(will_topic, will_payload, qos=1, retain=True)
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# 设置回调函数
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client.on_connect = on_connect
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client.on_disconnect = on_disconnect
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try:
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client.connect(mqtt_config['broker'], mqtt_config['port'])
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except Exception as e:
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logging.error(f"Initial connection failed: {str(e)}")
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logging.error(f"Exception type: {type(e).__name__}")
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logging.error(f"Stack trace:", exc_info=True)
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time.sleep(5)
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return connect_mqtt()
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# 发送上线状态
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client.publish(will_topic, "online", qos=1, retain=True)
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return client
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def subscribe(client: mqtt_client):
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def on_message(client, userdata, msg):
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try:
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global run_parameter
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global task_id
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logging.info(f"Received message on topic: {msg.topic}")
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logging.info(f"Message payload: {msg.payload.decode()}")
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if "FU_PAM" in msg.topic:
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if args.task_id == '+' or fusion_code in msg.topic:
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new_run_parameter = msg.payload.decode()
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if run_parameter != new_run_parameter:
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logging.info(f"Run parameter updated from {run_parameter} to {new_run_parameter}")
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run_parameter = new_run_parameter
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new_topics = pipe.extract_parms(run_parameter)
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logging.info(f"Extracted topics: {new_topics}")
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client.subscribe(new_topics) # 重新更新订阅的数据
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logging.info(f"Subscribed to new topics: {new_topics}")
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logging.info('===========new run_parameter!===============')
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current_time = datetime.datetime.now()
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task_id = pipe.task_id
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else:
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data_pool.put((msg.topic, msg.payload))
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except Exception as e:
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logging.error(f"Error processing message: {str(e)}")
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logging.error(f"Exception type: {type(e).__name__}")
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logging.error(f"Stack trace:", exc_info=True)
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subscribe_topics = [(subscribe_topic, 0), (fusion_parameters_topic, 0)] # 默认QoS为0
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client.subscribe(subscribe_topics)
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client.on_message = on_message
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def publish(client, message):
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global task_id
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global fusionCode
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max_retries = 3
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retry_delay = 1 # 初始重试延迟（秒）
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def do_publish():
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publish_topic = f"bridge/{fusionCode}/device_data/fusion/{task_id}"
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try:
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result = client.publish(publish_topic, message)
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status = result.rc
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if status == 0:
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current_time = datetime.datetime.now()
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formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
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with open('log.txt', 'a') as log_file:
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log_file.write('=====================\n')
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log_file.write(f"Send message to topic {publish_topic}\n")
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log_file.write(f"time: {formatted_time}\n")
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log_file.write(f"{message}\n")
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return True
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else:
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logging.error(f"Failed to send message to topic {publish_topic}, status: {status}")
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return False
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except Exception as e:
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logging.error(f"Error publishing message: {str(e)}")
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logging.error(f"Exception type: {type(e).__name__}")
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logging.error(f"Stack trace:", exc_info=True)
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return False
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# 实现重试逻辑
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for attempt in range(max_retries):
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if do_publish():
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return
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if attempt < max_retries - 1: # 如果不是最后一次尝试
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retry_delay *= 2 # 指数退避
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logging.warning(f"Retrying publish in {retry_delay} seconds...")
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time.sleep(retry_delay)
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logging.error(f"Failed to publish message after {max_retries} attempts")
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def data_fusion(fusion_container):
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global data_pool
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data_list = []
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# 从数据池中提取所有的数据
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while not data_pool.empty():
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data_now = data_pool.get()
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processed_data = pipe.process_json_data(data_now[1])
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# 筛选有意义的数据
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if processed_data and processed_data.get("objects"): # 只记录有 objects 的数据
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data_list.append(processed_data)
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if data_list: # 只有当有数据时才写日志
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current_time = datetime.datetime.now()
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formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
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with open('Data_log.txt', 'a') as log_file: # 以追加模式打开日志文件
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log_file.write('=====================\n') # 写入分隔符
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log_file.write(f"Get message \n")
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log_file.write(f"time: {formatted_time}\n") # 写入分隔符
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log_file.write(f"{data_list}\n") # 写入消息内容
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sensor_data = pipe.data_encoder(data_list)
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logging.info(sensor_data)
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filtered_results = fusion_container.run(sensor_data)
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processed_data = pipe.data_decoder(filtered_results)
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processed_data = json.dumps(processed_data, indent=4)
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return processed_data # 返回处理后的 JSON 字符串
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def fusion_runner(client):
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global run_parameter
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pre_run_parameter = run_parameter
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last_run_time = time.time()
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last_health_check = time.time()
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health_check_interval = 30 # 每30秒进行一次健康检查
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fusion_container = DataFusion(args.gate, args.interval)
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def check_connection():
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if not client.is_connected():
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logging.warning("MQTT client disconnected during fusion_runner")
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try:
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client.reconnect()
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logging.info("Successfully reconnected in fusion_runner")
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return True
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except Exception as e:
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logging.error(f"Reconnection failed in fusion_runner: {str(e)}")
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logging.error(f"Exception type: {type(e).__name__}")
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logging.error(f"Stack trace:", exc_info=True)
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return False
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return True
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while True:
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try:
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current_time = time.time()
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# 定期健康检查
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if current_time - last_health_check >= health_check_interval:
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if not check_connection():
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time.sleep(5) # 如果连接失败，等待5秒后继续
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continue
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last_health_check = current_time
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# 数据处理和发送
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if current_time - last_run_time >= interval:
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if not check_connection():
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continue
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last_run_time = current_time
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if run_parameter != pre_run_parameter:
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fusion_parms = pipe.extract_fusion_parms(run_parameter)
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fusion_container.set_parameter(fusion_parms)
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pre_run_parameter= run_parameter
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processed_data = data_fusion(fusion_container)
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if processed_data:
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publish(client, processed_data)
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except Exception as e:
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logging.error(f"Error in fusion_runner: {str(e)}")
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logging.error(f"Exception type: {type(e).__name__}")
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logging.error(f"Stack trace:", exc_info=True)
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time.sleep(1)
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def run():
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# 初始化日志系统
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setup_logging()
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logging.error("Starting MQTT client application")
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while True: # 添加外层循环来处理完全断开的情况
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try:
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client = connect_mqtt()
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subscribe(client)
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logging.info("Starting fusion_runner thread")
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fusion_runner_thread = threading.Thread(target=fusion_runner, args=(client,), daemon=True)
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fusion_runner_thread.start()
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logging.info("Starting MQTT loop")
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client.loop_forever()
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except Exception as e:
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logging.critical(f"Critical error in main loop: {str(e)}")
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logging.critical(f"Exception type: {type(e).__name__}")
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logging.critical(f"Stack trace:", exc_info=True)
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logging.info("Restarting in 5 seconds...")
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time.sleep(5)
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if __name__ == '__main__':
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run()
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