新增doris的部署内容
This commit is contained in:
zeaslity
15
.run/CMII镜像同步-11.8-ARM.run.xml
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15
.run/CMII镜像同步-11.8-ARM.run.xml
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@@ -0,0 +1,15 @@
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<component name="ProjectRunConfigurationManager">
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<configuration default="false" name="CMII镜像同步-11.8-ARM" type="GoTestRunConfiguration" factoryName="Go Test">
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<module name="ProjectOctopus" />
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<target name="root@192.168.11.8:22" />
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<working_directory value="$PROJECT_DIR$/agent-operator" />
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<kind value="PACKAGE" />
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<package value="wdd.io/agent-operator" />
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<directory value="$PROJECT_DIR$" />
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<filePath value="$PROJECT_DIR$" />
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<option name="build_on_remote_target" value="true" />
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<framework value="gotest" />
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<pattern value="^\QTestPullFromEntityAndSyncConditionally\E$" />
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<method v="2" />
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</configuration>
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</component>
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15
.run/Cmii镜像同步-35.70.run.xml
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15
.run/Cmii镜像同步-35.70.run.xml
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@@ -0,0 +1,15 @@
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<component name="ProjectRunConfigurationManager">
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<configuration default="false" name="Cmii镜像同步-35.70" type="GoTestRunConfiguration" factoryName="Go Test">
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<module name="ProjectOctopus" />
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<target name="wdd-dev-35.70" />
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<working_directory value="$PROJECT_DIR$/agent-operator" />
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<kind value="PACKAGE" />
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<package value="wdd.io/agent-operator" />
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<directory value="$PROJECT_DIR$" />
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<filePath value="$PROJECT_DIR$" />
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<option name="build_on_remote_target" value="true" />
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<framework value="gotest" />
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<pattern value="^\QTestPullFromEntityAndSyncConditionally\E$" />
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<method v="2" />
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</configuration>
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</component>
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@@ -1,15 +1,15 @@
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<component name="ProjectRunConfigurationManager">
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<configuration default="false" name="DEMO更新-3570" type="GoTestRunConfiguration" factoryName="Go Test">
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<module name="ProjectOctopus"/>
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<target name="wdd-dev-35.70"/>
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<working_directory value="$PROJECT_DIR$/agent-operator"/>
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<kind value="PACKAGE"/>
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<package value="wdd.io/agent-operator"/>
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<directory value="$PROJECT_DIR$"/>
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<filePath value="$PROJECT_DIR$"/>
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<option name="build_on_remote_target" value="true"/>
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<framework value="gotest"/>
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<pattern value="^\QTestUpdateCmiiImageTagFromNameTagMap\E$"/>
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<method v="2"/>
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</configuration>
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<configuration default="false" name="DEMO更新-3570" type="GoTestRunConfiguration" factoryName="Go Test" singleton="false">
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<module name="ProjectOctopus" />
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<target name="wdd-dev-35.70" />
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<working_directory value="$PROJECT_DIR$/agent-operator" />
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<kind value="PACKAGE" />
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<package value="wdd.io/agent-operator" />
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<directory value="$PROJECT_DIR$" />
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<filePath value="$PROJECT_DIR$" />
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<option name="build_on_remote_target" value="true" />
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<framework value="gotest" />
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<pattern value="^\QTestUpdateCmiiImageTagFromNameTagMap\E$" />
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<method v="2" />
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</configuration>
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</component>
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15
.run/Middle镜像-35.70.run.xml
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15
.run/Middle镜像-35.70.run.xml
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@@ -0,0 +1,15 @@
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<component name="ProjectRunConfigurationManager">
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<configuration default="false" name="Middle镜像-35.70" type="GoTestRunConfiguration" factoryName="Go Test">
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<module name="ProjectOctopus" />
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<target name="wdd-dev-35.70" />
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<working_directory value="$PROJECT_DIR$/agent-operator" />
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<kind value="PACKAGE" />
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<package value="wdd.io/agent-operator" />
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<directory value="$PROJECT_DIR$" />
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<filePath value="$PROJECT_DIR$" />
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<option name="build_on_remote_target" value="true" />
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<framework value="gotest" />
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<pattern value="^\QTestFetchDependencyRepos_Middle\E$" />
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<method v="2" />
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</configuration>
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</component>
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15
.run/Middle镜像-ARM-11.8.run.xml
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15
.run/Middle镜像-ARM-11.8.run.xml
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@@ -0,0 +1,15 @@
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<component name="ProjectRunConfigurationManager">
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<configuration default="false" name="Middle镜像-ARM-11.8" type="GoTestRunConfiguration" factoryName="Go Test">
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<module name="ProjectOctopus" />
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<target name="root@192.168.11.8:22" />
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<working_directory value="$PROJECT_DIR$/agent-operator" />
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<kind value="PACKAGE" />
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<package value="wdd.io/agent-operator" />
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<directory value="$PROJECT_DIR$" />
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<filePath value="$PROJECT_DIR$" />
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<option name="build_on_remote_target" value="true" />
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<framework value="gotest" />
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<pattern value="^\QTestFetchDependencyRepos_Middle\E$" />
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<method v="2" />
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</configuration>
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</component>
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@@ -1,5 +1,5 @@
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<component name="ProjectRunConfigurationManager">
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<configuration default="false" name="院内镜像清理-35.70" type="GoTestRunConfiguration" factoryName="Go Test">
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<configuration default="false" name="院内Harbor清理-35.70" type="GoTestRunConfiguration" factoryName="Go Test">
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<module name="ProjectOctopus" />
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<target name="wdd-dev-35.70" />
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<working_directory value="$PROJECT_DIR$/agent-operator/image" />
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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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@@ -0,0 +1,387 @@
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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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|
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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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|
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return client
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|
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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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|
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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!===============')
|
||||
current_time = datetime.datetime.now()
|
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task_id = pipe.task_id
|
||||
else:
|
||||
data_pool.put((msg.topic, msg.payload))
|
||||
except Exception as e:
|
||||
logging.error(f"Error processing message: {str(e)}")
|
||||
logging.error(f"Exception type: {type(e).__name__}")
|
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logging.error(f"Stack trace:", exc_info=True)
|
||||
|
||||
subscribe_topics = [(subscribe_topic, 0), (fusion_parameters_topic, 0)] # 默认QoS为0
|
||||
client.subscribe(subscribe_topics)
|
||||
client.on_message = on_message
|
||||
|
||||
|
||||
def publish(client, message):
|
||||
global task_id
|
||||
global fusionCode
|
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max_retries = 3
|
||||
retry_delay = 1 # 初始重试延迟（秒）
|
||||
|
||||
def do_publish():
|
||||
publish_topic = f"bridge/{fusionCode}/device_data/fusion/{task_id}"
|
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try:
|
||||
result = client.publish(publish_topic, message)
|
||||
status = result.rc
|
||||
if status == 0:
|
||||
current_time = datetime.datetime.now()
|
||||
formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
|
||||
with open('log.txt', 'a') as log_file:
|
||||
log_file.write('=====================\n')
|
||||
log_file.write(f"Send message to topic {publish_topic}\n")
|
||||
log_file.write(f"time: {formatted_time}\n")
|
||||
log_file.write(f"{message}\n")
|
||||
return True
|
||||
else:
|
||||
logging.error(f"Failed to send message to topic {publish_topic}, status: {status}")
|
||||
return False
|
||||
except Exception as e:
|
||||
logging.error(f"Error publishing message: {str(e)}")
|
||||
logging.error(f"Exception type: {type(e).__name__}")
|
||||
logging.error(f"Stack trace:", exc_info=True)
|
||||
return False
|
||||
|
||||
# 实现重试逻辑
|
||||
for attempt in range(max_retries):
|
||||
if do_publish():
|
||||
return
|
||||
if attempt < max_retries - 1: # 如果不是最后一次尝试
|
||||
retry_delay *= 2 # 指数退避
|
||||
logging.warning(f"Retrying publish in {retry_delay} seconds...")
|
||||
time.sleep(retry_delay)
|
||||
|
||||
logging.error(f"Failed to publish message after {max_retries} attempts")
|
||||
|
||||
|
||||
def data_fusion(fusion_container):
|
||||
global data_pool
|
||||
data_list = []
|
||||
# 从数据池中提取所有的数据
|
||||
while not data_pool.empty():
|
||||
data_now = data_pool.get()
|
||||
processed_data = pipe.process_json_data(data_now[1])
|
||||
|
||||
# 筛选有意义的数据
|
||||
if processed_data and processed_data.get("objects"): # 只记录有 objects 的数据
|
||||
data_list.append(processed_data)
|
||||
|
||||
if data_list: # 只有当有数据时才写日志
|
||||
current_time = datetime.datetime.now()
|
||||
formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
|
||||
with open('Data_log.txt', 'a') as log_file: # 以追加模式打开日志文件
|
||||
log_file.write('=====================\n') # 写入分隔符
|
||||
log_file.write(f"Get message \n")
|
||||
log_file.write(f"time: {formatted_time}\n") # 写入分隔符
|
||||
log_file.write(f"{data_list}\n") # 写入消息内容
|
||||
|
||||
sensor_data = pipe.data_encoder(data_list)
|
||||
logging.info(sensor_data)
|
||||
filtered_results = fusion_container.run(sensor_data)
|
||||
processed_data = pipe.data_decoder(filtered_results)
|
||||
processed_data = json.dumps(processed_data, indent=4)
|
||||
return processed_data # 返回处理后的 JSON 字符串
|
||||
|
||||
|
||||
def fusion_runner(client):
|
||||
global run_parameter
|
||||
pre_run_parameter = run_parameter
|
||||
last_run_time = time.time()
|
||||
last_health_check = time.time()
|
||||
health_check_interval = 30 # 每30秒进行一次健康检查
|
||||
fusion_container = DataFusion(args.gate, args.interval)
|
||||
|
||||
|
||||
def check_connection():
|
||||
if not client.is_connected():
|
||||
logging.warning("MQTT client disconnected during fusion_runner")
|
||||
try:
|
||||
client.reconnect()
|
||||
logging.info("Successfully reconnected in fusion_runner")
|
||||
return True
|
||||
except Exception as e:
|
||||
logging.error(f"Reconnection failed in fusion_runner: {str(e)}")
|
||||
logging.error(f"Exception type: {type(e).__name__}")
|
||||
logging.error(f"Stack trace:", exc_info=True)
|
||||
return False
|
||||
return True
|
||||
|
||||
while True:
|
||||
try:
|
||||
current_time = time.time()
|
||||
|
||||
# 定期健康检查
|
||||
if current_time - last_health_check >= health_check_interval:
|
||||
if not check_connection():
|
||||
time.sleep(5) # 如果连接失败，等待5秒后继续
|
||||
continue
|
||||
last_health_check = current_time
|
||||
|
||||
# 数据处理和发送
|
||||
if current_time - last_run_time >= interval:
|
||||
if not check_connection():
|
||||
continue
|
||||
|
||||
last_run_time = current_time
|
||||
|
||||
if run_parameter != pre_run_parameter:
|
||||
fusion_parms = pipe.extract_fusion_parms(run_parameter)
|
||||
fusion_container.set_parameter(fusion_parms)
|
||||
pre_run_parameter= run_parameter
|
||||
|
||||
|
||||
processed_data = data_fusion(fusion_container)
|
||||
if processed_data:
|
||||
publish(client, processed_data)
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Error in fusion_runner: {str(e)}")
|
||||
logging.error(f"Exception type: {type(e).__name__}")
|
||||
logging.error(f"Stack trace:", exc_info=True)
|
||||
time.sleep(1)
|
||||
|
||||
def run():
|
||||
# 初始化日志系统
|
||||
setup_logging()
|
||||
logging.error("Starting MQTT client application")
|
||||
|
||||
while True: # 添加外层循环来处理完全断开的情况
|
||||
try:
|
||||
client = connect_mqtt()
|
||||
subscribe(client)
|
||||
|
||||
logging.info("Starting fusion_runner thread")
|
||||
fusion_runner_thread = threading.Thread(target=fusion_runner, args=(client,), daemon=True)
|
||||
fusion_runner_thread.start()
|
||||
|
||||
logging.info("Starting MQTT loop")
|
||||
client.loop_forever()
|
||||
except Exception as e:
|
||||
logging.critical(f"Critical error in main loop: {str(e)}")
|
||||
logging.critical(f"Exception type: {type(e).__name__}")
|
||||
logging.critical(f"Stack trace:", exc_info=True)
|
||||
logging.info("Restarting in 5 seconds...")
|
||||
time.sleep(5)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
run()
|
||||
@@ -0,0 +1,145 @@
|
||||
import json
|
||||
import time
|
||||
import random
|
||||
from math import radians, degrees, sin, cos
|
||||
from paho.mqtt import client as mqtt_client
|
||||
import datetime
|
||||
import numpy as np
|
||||
from math import atan2, sqrt
|
||||
|
||||
|
||||
# 坐标转换函数
|
||||
def convert_to_cartesian(lat, lon, reference_point):
|
||||
"""将经纬度转换为基于参考点的直角坐标，考虑地球椭球模型"""
|
||||
# 地球椭球参数（WGS84）
|
||||
a = 6378137.0 # 长半轴，单位：米
|
||||
f = 1 / 298.257223563 # 扁率
|
||||
e2 = 2 * f - f ** 2 # 第一偏心率平方
|
||||
|
||||
# 提取参考点坐标
|
||||
ref_lat, ref_lon = reference_point
|
||||
|
||||
# 转换成弧度
|
||||
lat_rad = radians(lat)
|
||||
lon_rad = radians(lon)
|
||||
ref_lat_rad = radians(ref_lat)
|
||||
ref_lon_rad = radians(ref_lon)
|
||||
|
||||
# 计算曲率半径
|
||||
N = a / sqrt(1 - e2 * sin(ref_lat_rad) ** 2) # 参考点处的卯酉圈曲率半径
|
||||
|
||||
# 计算基于参考点的平面直角坐标
|
||||
delta_lon = lon_rad - ref_lon_rad
|
||||
X = (N + 0) * cos(ref_lat_rad) * delta_lon
|
||||
Y = (a * (1 - e2)) / (1 - e2 * sin(ref_lat_rad) ** 2) * (lat_rad - ref_lat_rad)
|
||||
|
||||
return X, Y
|
||||
|
||||
|
||||
# 模拟数据生成函数
|
||||
def generate_simulated_data(reference_point, radius_km, angle):
|
||||
"""生成模拟数据，符合 Pipeline 处理需求"""
|
||||
R = 6371000 # 地球半径（米）
|
||||
|
||||
# 将半径转换为弧度
|
||||
radius = radius_km / R
|
||||
|
||||
# 计算参考点经纬度
|
||||
lat0, lon0 = reference_point
|
||||
|
||||
# 计算新的点的经度和纬度
|
||||
new_lat = lat0 + degrees(radius * cos(radians(angle)))
|
||||
new_lon = lon0 + degrees(radius * sin(radians(angle)) / cos(radians(lat0)))
|
||||
|
||||
# 生成模拟 JSON 数据
|
||||
mock_data = {
|
||||
"deviceId": "80103",
|
||||
"deviceType": 10,
|
||||
"objects": [
|
||||
{
|
||||
"altitude": 150.0, # 模拟高度
|
||||
"extension": {
|
||||
"traceId": "00000000000001876",
|
||||
"channel": "5756500000",
|
||||
"objectType": 30,
|
||||
"uavId": "UAS123456", # 新增字段，与 Pipeline 对应
|
||||
"uavModel": "DJI Mini 3 Pro", # 模拟 UAV 型号
|
||||
"deviceId": "80103" # 来源设备 ID
|
||||
},
|
||||
"height": 120.0, # 高度
|
||||
"latitude": new_lat,
|
||||
"longitude": new_lon,
|
||||
"X": 0.0, # 预留字段，供转换函数填充
|
||||
"Y": 0.0, # 预留字段，供转换函数填充
|
||||
"speed": 15.0, # 模拟速度
|
||||
"objectId": "AX0009", # 模拟目标 ID
|
||||
"time": int(time.time() * 1000), # 当前时间戳（毫秒）
|
||||
"source": [["sensor1", "UAS123456"]] # 模拟来源
|
||||
}
|
||||
],
|
||||
"providerCode": "ZYLYTEST",
|
||||
"ptTime": int(time.time() * 1000) # 当前时间戳（毫秒）
|
||||
}
|
||||
|
||||
# 转换坐标
|
||||
for obj in mock_data["objects"]:
|
||||
lat, lon = obj["latitude"], obj["longitude"]
|
||||
obj["X"], obj["Y"] = convert_to_cartesian(lat, lon, reference_point)
|
||||
|
||||
return json.dumps(mock_data, indent=4)
|
||||
|
||||
|
||||
# MQTT 推送代码
|
||||
broker = '192.168.36.234'
|
||||
port = 37826
|
||||
providerCode = "DP74b4ef9fb4aaf269"
|
||||
deviceType = "5ga"
|
||||
deviceId = "10580015"
|
||||
topic = f"bridge/{providerCode}/device_data/{deviceType}/{deviceId}"
|
||||
client_id = f'python-mqtt-{random.randint(0, 1000)}'
|
||||
username = "cmlc"
|
||||
password = "odD8#Ve7.B"
|
||||
reference_point = (31.880000, 117.240000) # 经度和纬度
|
||||
radius = 1500 # 半径，单位：米
|
||||
|
||||
|
||||
def connect_mqtt():
|
||||
"""连接 MQTT Broker"""
|
||||
def on_connect(client, userdata, flags, rc):
|
||||
if rc == 0:
|
||||
print("Connected to MQTT Broker!")
|
||||
else:
|
||||
print(f"Failed to connect, return code {rc}")
|
||||
|
||||
client = mqtt_client.Client(client_id)
|
||||
client.on_connect = on_connect
|
||||
client.username_pw_set(username, password)
|
||||
client.connect(broker, port)
|
||||
return client
|
||||
|
||||
|
||||
def publish(client):
|
||||
"""推送生成的模拟数据"""
|
||||
msg_count = 0
|
||||
angle = 0
|
||||
while True:
|
||||
time.sleep(1)
|
||||
msg = generate_simulated_data(reference_point, radius, angle)
|
||||
result = client.publish(topic, msg)
|
||||
status = result.rc
|
||||
if status == 0:
|
||||
print(f"Send `{msg_count}` to topic `{topic}`")
|
||||
else:
|
||||
print(f"Failed to send message to topic {topic}")
|
||||
msg_count += 1
|
||||
angle += 1
|
||||
|
||||
|
||||
def run():
|
||||
client = connect_mqtt()
|
||||
client.loop_start()
|
||||
publish(client)
|
||||
|
||||
|
||||
if __name__ == '__main__':
|
||||
run()
|
||||
@@ -0,0 +1,15 @@
|
||||
# 构建阶段
|
||||
FROM python:3.12.8-slim-bookworm as builder
|
||||
|
||||
WORKDIR /build
|
||||
COPY requirements.txt .
|
||||
RUN pip install --user -r requirements.txt -i https://pypi.tuna.tsinghua.edu.cn/simple
|
||||
|
||||
# 运行阶段
|
||||
FROM python:3.12.8-slim-bookworm
|
||||
|
||||
WORKDIR /app
|
||||
COPY --from=builder /root/.local/lib/python3.12/site-packages /root/.local/lib/python3.12/site-packages
|
||||
COPY . .
|
||||
|
||||
CMD ["python", "check.py"]
|
||||
279
agent-common/SplitProject/ranjing-python-devfusion/KF_V2.py
Normal file
279
agent-common/SplitProject/ranjing-python-devfusion/KF_V2.py
Normal file
@@ -0,0 +1,279 @@
|
||||
import datetime
|
||||
from os import error
|
||||
import numpy as np
|
||||
from config import *
|
||||
|
||||
def calculate_euclidean_distances(A, B):
|
||||
# 计算A和B之间的欧式距离
|
||||
distances = np.linalg.norm(A - B, axis=1)
|
||||
# 找到最小距离及其索引
|
||||
min_distance_index = np.argmin(distances)
|
||||
min_distance = distances[min_distance_index]
|
||||
return min_distance, min_distance_index
|
||||
|
||||
def are_lists_equal(listA, listB):
|
||||
# 对两个列表中的子列表进行排序
|
||||
if len(listA) == 0:
|
||||
return False
|
||||
sorted_listA = sorted(listA, key=lambda x: (x[0], x[1]))
|
||||
sorted_listB = sorted(listB, key=lambda x: (x[0], x[1]))
|
||||
# 比较排序后的列表是否相等
|
||||
return sorted_listA == sorted_listB
|
||||
|
||||
def sigmoid(x, a=10, b=0.1):
|
||||
# 调整Sigmoid函数使其在x=1时值为0.5
|
||||
# a和b是调整参数，用于控制函数的形状
|
||||
return 1 / (1 + np.exp(-a * (x - shift_value))) + b
|
||||
|
||||
|
||||
class KalmanFilter:
|
||||
def __init__(self, measurement, com_id, measurement_variance=1,process_variance=1e-1):
|
||||
current_time = datetime.datetime.now()
|
||||
timestamp = int(current_time.timestamp() * 1000000)
|
||||
ms = measurement.tolist()
|
||||
self.m = np.array([ms[0],ms[1],ms[2],0,0,0]) # 状态量,6维度
|
||||
self.origin = [com_id] #origin 表示最强响应
|
||||
self.source = self.origin #source 表示所有关联的观测值
|
||||
self.survive = np.array(survive_initial) # 初始化生存值
|
||||
self.duration = 0
|
||||
self.counter = 0
|
||||
self.id = str(timestamp % 3600000000 + np.random.randint(1000))
|
||||
self.F = [[1,0,0,1,0,0],
|
||||
[0,1,0,0,1,0],
|
||||
[0,0,1,0,0,1],
|
||||
[0,0,0,1,0,0],
|
||||
[0,0,0,0,1,0],
|
||||
[0,0,0,0,0,1]]
|
||||
self.F = np.array(self.F)
|
||||
self.H = [[1,0,0,0,0,0],
|
||||
[0,1,0,0,0,0],
|
||||
[0,0,1,0,0,0]]
|
||||
self.H = np.array(self.H)
|
||||
self.R = measurement_variance * np.eye(3)
|
||||
self.Q = process_variance * np.eye(6)
|
||||
self.Q[3, 3] = self.Q[3, 3] * 1e-3
|
||||
self.Q[4, 4] = self.Q[4, 4] * 1e-3
|
||||
self.Q[5, 5] = self.Q[5, 5] * 1e-3
|
||||
self.P = np.eye(6)*0.1
|
||||
self.I = np.eye(6)
|
||||
self.expend = 1
|
||||
self.v = np.array([0,0,0])
|
||||
self.born_time = int(current_time.timestamp() * 1000)
|
||||
self.latest_update = self.born_time
|
||||
|
||||
self.m_history = self.m
|
||||
self.s_history = []
|
||||
self.origin_set = [self.origin]
|
||||
|
||||
|
||||
def predict(self):
|
||||
F = self.F
|
||||
self.m = np.dot(F,self.m.T) # 简单一步预测模型
|
||||
self.m = self.m.T
|
||||
self.P = np.dot(np.dot(F,self.P),F.T) + self.Q
|
||||
self.survive = self.survive * decay # 应用衰减值
|
||||
self.origin_set = np.unique(np.array(self.origin_set), axis=0).tolist() # 计算关联集合
|
||||
|
||||
def update(self, res, run_timestamp, gate):
|
||||
self.duration += 0.6 # 每次更新时，持续时间+0.6
|
||||
if len(res['distances']) == 0:
|
||||
mmd = 1e8
|
||||
else:
|
||||
min_distance_index = np.argmin(res['distances'])
|
||||
mmd = res['distances'][min_distance_index]
|
||||
measurement = res['measurements'][min_distance_index]
|
||||
|
||||
# 进行更新
|
||||
if mmd < gate * self.expend:
|
||||
H = self.H
|
||||
I = self.I
|
||||
self.expend = max(self.expend * 0.8, 1)
|
||||
kalman_gain = np.dot(np.dot(self.P,H.T),np.linalg.pinv(np.dot(np.dot(H,self.P),H.T)+self.R))
|
||||
self.m += np.dot(kalman_gain,(measurement.T - np.dot(H,self.m.T)))
|
||||
self.m = self.m.T
|
||||
self.P = np.dot((I - np.dot(kalman_gain,H)),self.P)
|
||||
self.origin = [res['key_ids'][min_distance_index]]
|
||||
self.counter += 1
|
||||
self.survive = sigmoid(self.counter) # 新映射函数
|
||||
# 如下操作防止对速度过于自信
|
||||
self.P[3, 3] = max(1e-1, self.P[3, 3])
|
||||
self.P[4, 4] = max(1e-1, self.P[4, 4])
|
||||
self.P[5, 5] = max(1e-1, self.P[5, 5])
|
||||
# 截取速度
|
||||
self.v = self.m[3:6]
|
||||
self.origin_set.append(self.origin)
|
||||
self.latest_update = run_timestamp #对时间进行处理
|
||||
else:
|
||||
self.expend = min(self.expend*1.2,1.5) # 若关联不上，则扩大门限继续搜索
|
||||
self.P[3, 3] = min(self.P[3, 3]*1.1,1)
|
||||
self.P[4, 4] = min(self.P[4, 4]*1.1,1)
|
||||
self.P[5, 5] = min(self.P[5, 5]*1.1,1)
|
||||
self.counter -= 1
|
||||
self.counter = max(self.counter,0)
|
||||
|
||||
self.m_history = np.vstack((self.m_history, self.m))
|
||||
self.s_history.append(self.survive)
|
||||
|
||||
def one_correlation(self, data_matrix, id_list):
|
||||
# 计算现有数据与data_matrix的差距
|
||||
min_distance, min_index = calculate_euclidean_distances(self.m[0:3], data_matrix)
|
||||
m_id = id_list[min_index]
|
||||
measurement = data_matrix[min_index, :]
|
||||
return m_id, min_distance, measurement
|
||||
|
||||
def correlation(self, sensor_data):
|
||||
# 遍历传感器进行计算
|
||||
res = {'m_ids':[], 'distances':[], 'measurements':[], 'key_ids':[]}
|
||||
for value in sensor_data:
|
||||
if len(value['id_list']) > 0:
|
||||
m_id, min_distance, measurement = self.one_correlation(value['data_matrix'], value['id_list'])
|
||||
key = value['deviceId']
|
||||
res['m_ids'].append(m_id)
|
||||
res['measurements'].append(measurement)
|
||||
res['key_ids'].append([key, m_id])
|
||||
# 将发生过关联的目标赋予更大的置信度
|
||||
if [key, m_id] in self.origin_set:
|
||||
min_distance = min_distance * 0.2
|
||||
res['distances'].append(min_distance)
|
||||
return res
|
||||
|
||||
|
||||
#融合类的构造函数
|
||||
class DataFusion:
|
||||
def __init__(self,gate=25,interval = 1,fusion_type = 1,
|
||||
measuremrnt_variance=1,process_variance =1e-1):
|
||||
"""
|
||||
初始化DataFusion类。
|
||||
"""
|
||||
# self.task_id = task_id
|
||||
self.interval = interval
|
||||
self.gate = gate
|
||||
self.targets = []
|
||||
self.fusion_type = fusion_type
|
||||
self.existence_thres = 0.01
|
||||
self.show_thres = show_thres
|
||||
self.process_variance = process_variance
|
||||
self.measuremrnt_variance = measuremrnt_variance
|
||||
|
||||
def set_parameter(self,fusion_parms):
|
||||
print("GO!!!!!!!!!")
|
||||
print(fusion_parms)
|
||||
|
||||
def obtain_priority(self,sensor_data):
|
||||
self.priority_dict = dict()
|
||||
for data in sensor_data:
|
||||
if data.get('priority'):
|
||||
self.priority_dict[data['deviceId']] = data['priority']
|
||||
else:
|
||||
self.priority_dict[data['deviceId']] = 1
|
||||
|
||||
|
||||
def out_transformer(self,target):
|
||||
out_former = {
|
||||
'objectId': target.id,
|
||||
'survive': target.survive.tolist(),
|
||||
'state': target.m.tolist(),
|
||||
'speed': np.linalg.norm(target.v).tolist() / self.interval,
|
||||
'source': target.source,
|
||||
'sigma': np.diag(target.P).tolist(),
|
||||
'X': target.m[0].tolist(),
|
||||
'Y': target.m[1].tolist(),
|
||||
'Z': target.m[2].tolist(),
|
||||
'Vx': target.v[0].tolist(),
|
||||
'Vy': target.v[1].tolist(),
|
||||
'Vz': target.v[2].tolist(),
|
||||
'born_time': str(target.born_time)
|
||||
}
|
||||
return out_former
|
||||
|
||||
|
||||
def run(self, sensor_data):
|
||||
current_time = datetime.datetime.now()
|
||||
run_timestamp = int(current_time.timestamp() * 1000)
|
||||
fusion_data = []
|
||||
selected_list = []
|
||||
self.obtain_priority(sensor_data)
|
||||
|
||||
# 遍历所有已知对象
|
||||
for target in self.targets:
|
||||
print(f"Fusion target id:{target.id} with survive: {target.survive} at :{target.m}\n")
|
||||
if target.survive < self.existence_thres:
|
||||
continue
|
||||
target.predict()
|
||||
res = target.correlation(sensor_data)
|
||||
target.update(res,run_timestamp,self.gate)
|
||||
# ==================================================
|
||||
now_id = []
|
||||
t_sum = 0
|
||||
for r, distance in enumerate(res['distances']):
|
||||
if distance < self.gate:
|
||||
now_id.append(res['key_ids'][r])
|
||||
selected_list.append(res['key_ids'][r])
|
||||
D_Id = res['key_ids'][r][0]
|
||||
t_sum += self.priority_dict[D_Id]
|
||||
target.source = now_id
|
||||
# ==================================================
|
||||
if self.fusion_type == 2 and t_sum < 2:
|
||||
target.survive = target.survive * 0.5
|
||||
|
||||
out_former = self.out_transformer(target)
|
||||
if target.survive > self.show_thres: # 若存活概率大于0.4，则写入数据文件
|
||||
fusion_data.append(out_former)
|
||||
|
||||
# 根据匹配关系筛选数值
|
||||
self.selected_list = selected_list
|
||||
for data in sensor_data:
|
||||
self.new_born(data)
|
||||
|
||||
self.remove_duplicates()
|
||||
# ==================================================
|
||||
self.fusion_process_log(fusion_data)
|
||||
|
||||
return fusion_data
|
||||
|
||||
def new_born(self,value,):
|
||||
for j, id in enumerate(value['id_list']):
|
||||
key = value['deviceId']
|
||||
if [key, id] not in self.selected_list:
|
||||
if self.fusion_type == 3:
|
||||
if value['priority'] > 50:
|
||||
self.targets.append(KalmanFilter(value['data_matrix'][j, :], [key, id],self.measuremrnt_variance,self.process_variance))
|
||||
else:
|
||||
self.targets.append(KalmanFilter(value['data_matrix'][j, :], [key, id],self.measuremrnt_variance,self.process_variance))
|
||||
self.selected_list.append([key, id]) # 把新增的目标，加入到集合中去
|
||||
|
||||
def remove_duplicates(self):
|
||||
# 创建一个空列表用于存储需要删除的列表的索引
|
||||
to_delete = []
|
||||
|
||||
# 遍历所有列表的索引
|
||||
for i in range(len(self.targets)):
|
||||
if self.targets[i].survive < self.existence_thres:
|
||||
to_delete.append(self.targets[i].id)
|
||||
continue
|
||||
if self.targets[i].survive < self.show_thres:
|
||||
continue
|
||||
for j in range(i + 1, len(self.targets)):
|
||||
# 比较两个列表是否相同
|
||||
if are_lists_equal(self.targets[i].source, self.targets[j].source):
|
||||
# 如果列表相同，记录编号较大的索引
|
||||
if self.targets[i].duration < self.targets[j].duration:
|
||||
to_delete.append(self.targets[i].id)
|
||||
else:
|
||||
to_delete.append(self.targets[j].id)
|
||||
|
||||
# 使用删除法，提高目标管理效率
|
||||
for item_id in sorted(to_delete, reverse=True):
|
||||
for target in self.targets:
|
||||
if target.id == item_id:
|
||||
self.targets.remove(target)
|
||||
break
|
||||
|
||||
def fusion_process_log(self,fusion_data):
|
||||
current_time = datetime.datetime.now()
|
||||
# 格式化时间为年月日时分秒格式
|
||||
formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
|
||||
with open('process_log.txt', 'a') as log_file: # 以追加模式打开日志文件
|
||||
log_file.write('=====================\n') # 写入分隔符
|
||||
log_file.write(f"time: {formatted_time}\n") # 写入分隔符
|
||||
log_file.write(f"data:\n {fusion_data}\n") # 写入消息内容
|
||||
@@ -0,0 +1,53 @@
|
||||
from KF_V2 import *
|
||||
# ======================
|
||||
|
||||
sensor_id_list = ['AUV01','AUV02']
|
||||
|
||||
sensor_data = []
|
||||
sensor_data.append({
|
||||
'data_matrix': np.array([[0, 0, 0], [100, 100, 100]]),
|
||||
'id_list': ['001','002'],
|
||||
'deviceId': 'AUV01',
|
||||
'devicePs':[0.2], #第一个值表示测量误差
|
||||
'latest_time': [0],
|
||||
'priority':1
|
||||
})
|
||||
sensor_data.append({
|
||||
'data_matrix': np.array([[0, 0, 0], [100, 100, 100]]),
|
||||
'id_list': ['003','004'],
|
||||
'deviceId': 'AUV02',
|
||||
'deivceProperties':[0.2],
|
||||
'latest_time': [0],
|
||||
'priority':100
|
||||
})
|
||||
|
||||
|
||||
fusion_container = DataFusion(25,1,3)
|
||||
for i in range(15):
|
||||
print(i)
|
||||
# 在循环开始时，对 sensor_data 中的 data_matrix 进行修改
|
||||
if i%5 == 0:
|
||||
temp = {
|
||||
'data_matrix': np.array([]),
|
||||
'id_list': [],
|
||||
'deviceId': 'AUV01',
|
||||
'devicePs': [0.2], # 第一个值表示测量误差
|
||||
'latest_time': [0]
|
||||
}
|
||||
c_sensor_data = []
|
||||
c_sensor_data.append(temp)
|
||||
c_sensor_data.append(temp)
|
||||
filted_results = fusion_container.run(c_sensor_data)
|
||||
else:
|
||||
sensor_data[0]['data_matrix'][0, :] += 1 # 第一行每个元素加1
|
||||
sensor_data[0]['data_matrix'][1, :] -= 1 # 第二行每个元素减1
|
||||
sensor_data[1]['data_matrix'][0, :] += 1 # 第一行每个元素加1
|
||||
sensor_data[1]['data_matrix'][1, :] -= 1 # 第二行每个元素减1
|
||||
filted_results = fusion_container.run(sensor_data)
|
||||
|
||||
|
||||
|
||||
|
||||
print("results:\n")
|
||||
for d in filted_results:
|
||||
print(d)
|
||||
142
agent-common/SplitProject/ranjing-python-devfusion/SensorTool.py
Normal file
142
agent-common/SplitProject/ranjing-python-devfusion/SensorTool.py
Normal file
@@ -0,0 +1,142 @@
|
||||
import numpy as np
|
||||
from scipy import signal
|
||||
|
||||
|
||||
class AoAConverter:
|
||||
def __init__(self):
|
||||
self.p = [1e8, 1e8, 1e8]
|
||||
|
||||
def to_cartesian(self, theta_rad, phi_rad):
|
||||
# theta_rad = np.radians(theta)
|
||||
# phi_rad = np.radians(phi)
|
||||
# 注意！程序输入的是弧度单位
|
||||
"""将球坐标转换为直角坐标"""
|
||||
x = np.sin(theta_rad) * np.cos(phi_rad)
|
||||
y = np.sin(theta_rad) * np.sin(phi_rad)
|
||||
z = np.cos(theta_rad)
|
||||
pc =np.array([x,y,z])
|
||||
return pc
|
||||
|
||||
def calc_error(self, pc, mc):
|
||||
# 计算预测坐标与实际观测坐标之间的差的平方
|
||||
mc = np.expand_dims(mc, axis=1)
|
||||
diff_squared = (pc - mc) ** 2
|
||||
# 对差值的平方求和，得到误差的平方
|
||||
error_squared = np.sum(diff_squared, axis=0)
|
||||
# 开平方根得到误差
|
||||
return np.sqrt(error_squared)
|
||||
|
||||
import numpy as np
|
||||
|
||||
def find_best_r(self, theta, phi, mc, r_range):
|
||||
"""在给定范围内搜索最优的 r 值"""
|
||||
# 将 r_range 转换为 NumPy 数组，以便进行矢量化操作
|
||||
r_values = np.array(r_range)
|
||||
# 计算所有可能的直角坐标
|
||||
pc = self.to_cartesian(theta, phi)
|
||||
# 进行维度扩充以进行矩阵乘法
|
||||
r_values = np.expand_dims(r_values, axis=0)
|
||||
pc = np.expand_dims(pc, axis=1)
|
||||
# 计算所有 r 值对应的误差
|
||||
# print([pc.shape,r_values.shape])
|
||||
D = np.dot(pc, r_values)
|
||||
errors = self.calc_error(D, mc)
|
||||
r_values = np.squeeze(r_values)
|
||||
|
||||
# 找到最小误差及其对应的 r 值
|
||||
min_error = np.min(errors)
|
||||
best_r = r_values[np.argmin(errors)] #因为多加了一维，所以这里要反求0
|
||||
|
||||
return [best_r,min_error]
|
||||
|
||||
def projected_measure(self,theta, phi, r,p0):
|
||||
pc = self.to_cartesian(theta, phi)
|
||||
neo_p = r*pc + p0
|
||||
return np.array(neo_p)
|
||||
|
||||
converter = AoAConverter()
|
||||
|
||||
|
||||
def calculate_euclidean_distances(A, BX):
|
||||
# 计算A和B之间的欧式距离
|
||||
B = BX['data_matrix']
|
||||
N = B.shape[0]
|
||||
r_range = np.linspace(-5, 5, 100)
|
||||
if BX.get('AOA_pos'):
|
||||
# 若是来自AOA的数据，则进行替换
|
||||
sensor_pos = BX.get('AOA_pos')
|
||||
ob_pos = A - sensor_pos
|
||||
r0 = np.linalg.norm(ob_pos)
|
||||
B_new = []
|
||||
for i in range(N):
|
||||
theta = B[i,0]
|
||||
phi = B[i,1]
|
||||
[best_r,min_error] = converter.find_best_r(theta, phi,ob_pos, r0+r_range)
|
||||
print(min_error)
|
||||
B_new.append(converter.projected_measure(theta, phi,best_r,sensor_pos))
|
||||
B_new = np.array(B_new)
|
||||
else:
|
||||
B_new = B
|
||||
|
||||
|
||||
distances = np.linalg.norm(A - B_new, axis=1)
|
||||
# 找到最小距离及其索引
|
||||
min_distance_index = np.argmin(distances)
|
||||
min_distance = distances[min_distance_index]
|
||||
return [min_distance, min_distance_index, B_new]
|
||||
|
||||
def are_lists_equal(listA, listB):
|
||||
# 对两个列表中的子列表进行排序
|
||||
if len(listA) == 0:
|
||||
return False
|
||||
sorted_listA = sorted(listA, key=lambda x: (x[0], x[1]))
|
||||
sorted_listB = sorted(listB, key=lambda x: (x[0], x[1]))
|
||||
# 比较排序后的列表是否相等
|
||||
return sorted_listA == sorted_listB
|
||||
|
||||
def sigmoid(x, a=10, b=0.1):
|
||||
# 调整Sigmoid函数使其在x=4时值为0.5
|
||||
# a和b是调整参数，用于控制函数的形状
|
||||
return 1 / (1 + np.exp(-a * (x - 1))) + b
|
||||
|
||||
|
||||
def calculate_correlation(A, B):
|
||||
"""
|
||||
计算两个数组矩阵所有列的相关系数的最大值。
|
||||
|
||||
参数:
|
||||
A -- 第一个NumPy数组
|
||||
B -- 第二个NumPy数组
|
||||
"""
|
||||
A = np.exp(-1j*A/50)
|
||||
B = np.exp(1j*B/50)
|
||||
corr_res = []
|
||||
for col in range(3):
|
||||
a = A[:, col]
|
||||
b = B[:, col]
|
||||
convolution = signal.convolve(a, b[::-1])
|
||||
corr_res.append(convolution)
|
||||
max_corr = np.sum(np.abs(np.array(corr_res)),0)
|
||||
max_corr = np.max(max_corr)/3
|
||||
|
||||
return max_corr
|
||||
|
||||
|
||||
def calculate_history_distances(target, b):
|
||||
# 使用前后向的形式进行计算
|
||||
A = target.m_history
|
||||
v = target.v
|
||||
# 计算每一行与向量b的差的L2范数（欧氏距离）
|
||||
if A.shape[0] < 10:
|
||||
return np.inf
|
||||
local_time = np.linspace(0, 10, 20)
|
||||
local_time = np.expand_dims(local_time, axis=1)
|
||||
v = np.expand_dims(v, axis=1)
|
||||
A_pre = A[-10:,0:3]
|
||||
A_post = np.dot(local_time,v.T)
|
||||
A_all = np.vstack((A_pre, A_post))
|
||||
distances = np.linalg.norm(A_all - b, axis=1)
|
||||
# 找到最小距离
|
||||
min_distance = np.min(distances)
|
||||
|
||||
return min_distance
|
||||
@@ -0,0 +1,26 @@
|
||||
#!/bin/bash
|
||||
|
||||
# 使用说明，在主机之上选择你的合适的目录
|
||||
# 上传的最新的项目代码，然后把这个脚本放置于你的项目目录之中
|
||||
|
||||
|
||||
|
||||
# 修改下面的参数
|
||||
if [[ $# -eq 0 ]]; then
|
||||
echo "tag version is null!"
|
||||
exit 233
|
||||
fi
|
||||
|
||||
tag_version=$1
|
||||
|
||||
echo "start to build docker image tag is => ${tag_version}"
|
||||
docker build -t harbor.cdcyy.com.cn/cmii/cmii-uavms-pyfusion:${tag_version} .
|
||||
echo ""
|
||||
|
||||
echo "login to docker hub"
|
||||
docker login -u rad02_drone -p Drone@1234 harbor.cdcyy.com.cn
|
||||
|
||||
echo ""
|
||||
|
||||
echo "start to push image to hub!"
|
||||
docker push harbor.cdcyy.com.cn/cmii/cmii-uavms-pyfusion:${tag_version}
|
||||
374
agent-common/SplitProject/ranjing-python-devfusion/check.py
Normal file
374
agent-common/SplitProject/ranjing-python-devfusion/check.py
Normal file
@@ -0,0 +1,374 @@
|
||||
import os
|
||||
import subprocess
|
||||
import paho.mqtt.client as mqtt
|
||||
import json
|
||||
import time
|
||||
import threading
|
||||
import logging
|
||||
from config import *
|
||||
import datetime
|
||||
import schedule # 需要先安装: pip install schedule
|
||||
import yaml
|
||||
|
||||
|
||||
# 读取yaml配置
|
||||
def load_mqtt_config():
|
||||
config_path = os.getenv('CONFIG_PATH', 'config.yaml')
|
||||
with open(config_path, 'r') as f:
|
||||
config = yaml.safe_load(f)
|
||||
return config['mqtt'], config['topics']
|
||||
|
||||
|
||||
# 获取MQTT和topics配置
|
||||
mqtt_config, topics_config = load_mqtt_config()
|
||||
|
||||
# 设置日志配置
|
||||
logging.basicConfig(
|
||||
level=logging.INFO,
|
||||
format='%(asctime)s - %(levelname)s - %(message)s',
|
||||
handlers=[
|
||||
logging.FileHandler('check.log'),
|
||||
logging.StreamHandler()
|
||||
]
|
||||
)
|
||||
|
||||
# 存储运行中的任务及其配置
|
||||
running_tasks = {}
|
||||
task_configs = {}
|
||||
|
||||
# 启动 Dev_Fusion.py 的命令模板
|
||||
fusion_command_template = f"nohup python Dev_Fusion.py -t {{task_id}} -g {DEV_FUSION_G} -i {DEV_FUSION_I} > /dev/null 2> error.log &"
|
||||
|
||||
# 日志文件夹路径
|
||||
log_folder = "tasklog"
|
||||
os.makedirs(log_folder, exist_ok=True)
|
||||
|
||||
# 创建全局锁
|
||||
task_lock = threading.Lock()
|
||||
|
||||
|
||||
def compare_configs(old_config, new_config):
|
||||
"""
|
||||
比较两个配置是否有实质性差异
|
||||
返回 True 表示有差异，需要重启
|
||||
返回 False 表示无差异，只需转发
|
||||
"""
|
||||
try:
|
||||
# 1. 检查 devices 列表
|
||||
old_devices = old_config.get('devices', [])
|
||||
new_devices = new_config.get('devices', [])
|
||||
|
||||
if len(old_devices) != len(new_devices):
|
||||
return True
|
||||
|
||||
# 为每个设备创建一个关键信息元组进行比较
|
||||
def get_device_key(device):
|
||||
return (
|
||||
device.get('device_id'),
|
||||
device.get('device_topic'),
|
||||
device.get('device_type'),
|
||||
device.get('reference_point')
|
||||
|
||||
)
|
||||
|
||||
old_device_keys = {get_device_key(d) for d in old_devices}
|
||||
new_device_keys = {get_device_key(d) for d in new_devices}
|
||||
|
||||
# 如果设备的关键信息有变化，需要重启
|
||||
if old_device_keys != new_device_keys:
|
||||
return True
|
||||
|
||||
# 2. 检查参考点
|
||||
old_ref = old_config.get('reference_point')
|
||||
new_ref = new_config.get('reference_point')
|
||||
|
||||
if old_ref != new_ref:
|
||||
return True
|
||||
|
||||
# 3. 其他参数（如 sampling_rate）的变化不需要重启
|
||||
logging.info("No critical configuration changes detected")
|
||||
return False
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Error comparing configs: {str(e)}")
|
||||
return True # 出错时视为有差异，安全起见重启实例
|
||||
|
||||
|
||||
def stop_task(task_id):
|
||||
"""停止指定的任务实例"""
|
||||
try:
|
||||
if task_id in running_tasks:
|
||||
process = running_tasks[task_id]
|
||||
# 使用 pkill 命令终止对应的 Python 进程
|
||||
subprocess.run(f"pkill -f 'python.*Dev_Fusion.py.*-t {task_id}'", shell=True)
|
||||
process.wait(timeout=5) # 等待进程结束
|
||||
del running_tasks[task_id]
|
||||
del task_configs[task_id]
|
||||
logging.info(f"Task {task_id} stopped successfully")
|
||||
except Exception as e:
|
||||
logging.error(f"Error stopping task {task_id}: {str(e)}")
|
||||
|
||||
|
||||
# 多线程处理函数
|
||||
def handle_task(client, task_id, payload):
|
||||
try:
|
||||
with task_lock: # 使用锁保护共享资源
|
||||
data = json.loads(payload)
|
||||
sensor_topic = topics_config['sensor_topic'].replace("+", task_id)
|
||||
|
||||
# 记录配置更新
|
||||
log_file = os.path.join(log_folder, f"received_tasklog_{task_id}.txt")
|
||||
current_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
|
||||
|
||||
def log_config_update(action):
|
||||
with open(log_file, "a") as f:
|
||||
f.write(f"\n=== Configuration Update at {current_time} ===\n")
|
||||
f.write(f"Task ID: {task_id}\n")
|
||||
f.write(f"MQTT_TOPIC: {topics_config['mqtt_topic']}\n")
|
||||
f.write(f"Payload: {payload}\n")
|
||||
f.write(f"Action: {action}\n")
|
||||
f.write("=" * 50 + "\n")
|
||||
|
||||
# 检查任务是否已经在运行
|
||||
if task_id in running_tasks:
|
||||
# 检查是否有存储的配置
|
||||
if task_id in task_configs:
|
||||
# 比较新旧配置
|
||||
if compare_configs(task_configs[task_id], data):
|
||||
logging.info(f"Configuration changed for task {task_id}, restarting...")
|
||||
stop_task(task_id)
|
||||
log_config_update("Configuration changed, restarting instance")
|
||||
start_new_instance(client, task_id, payload, data)
|
||||
else:
|
||||
# 配置无变化，只转发消息
|
||||
logging.info(f"No configuration change for task {task_id}, forwarding message")
|
||||
log_config_update("Message forwarded (no critical changes)")
|
||||
client.publish(sensor_topic, payload)
|
||||
else:
|
||||
# 没有存储的配置，存储新配置并转发
|
||||
logging.info(f"No stored config for task {task_id}, storing first config")
|
||||
task_configs[task_id] = data
|
||||
log_config_update("First config stored and forwarded")
|
||||
client.publish(sensor_topic, payload)
|
||||
else:
|
||||
# 任务不存在，启动新实例
|
||||
log_config_update("New instance started")
|
||||
start_new_instance(client, task_id, payload, data)
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Error handling task {task_id}: {str(e)}")
|
||||
|
||||
|
||||
def start_new_instance(client, task_id, payload, config):
|
||||
"""启动新的 Dev_Fusion 实例"""
|
||||
try:
|
||||
# 启动 Dev_Fusion.py 实例
|
||||
fusion_command = fusion_command_template.format(task_id=task_id)
|
||||
process = subprocess.Popen(fusion_command, shell=True)
|
||||
running_tasks[task_id] = process
|
||||
task_configs[task_id] = config
|
||||
|
||||
logging.info(f"Dev_Fusion.py started successfully for Task ID {task_id}")
|
||||
|
||||
# 保存日志，使用追加模式
|
||||
log_file = os.path.join(log_folder, f"received_tasklog_{task_id}.txt")
|
||||
current_time = datetime.datetime.now().strftime('%Y-%m-%d %H:%M:%S')
|
||||
with open(log_file, "a") as f: # 使用 "a" 模式追加内容
|
||||
f.write(f"\n=== Configuration Update at {current_time} ===\n")
|
||||
f.write(f"Task ID: {task_id}\n")
|
||||
f.write(f"MQTT_TOPIC: {topics_config['mqtt_topic']}\n")
|
||||
f.write(f"Payload: {payload}\n")
|
||||
# 记录是否触发了重启
|
||||
f.write("Action: New instance started\n")
|
||||
f.write("=" * 50 + "\n")
|
||||
|
||||
# 等待实例启动
|
||||
time.sleep(0.5)
|
||||
|
||||
# 发送配置
|
||||
sensor_topic = topics_config['sensor_topic'].replace("+", task_id)
|
||||
client.publish(sensor_topic, payload)
|
||||
logging.info(f"Configuration sent to {sensor_topic}")
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Error starting new instance for task {task_id}: {str(e)}")
|
||||
if task_id in running_tasks:
|
||||
del running_tasks[task_id]
|
||||
del task_configs[task_id]
|
||||
|
||||
|
||||
# MQTT 回调函数
|
||||
def on_connect(client, userdata, flags, rc):
|
||||
if rc == 0:
|
||||
logging.info("Connected to MQTT broker")
|
||||
client.subscribe(topics_config['mqtt_topic']) # 使用yaml中的topic
|
||||
else:
|
||||
logging.error(f"Connection failed with code {rc}: {DISCONNECT_REASONS.get(rc, 'Unknown error')}")
|
||||
|
||||
|
||||
def on_message(client, userdata, msg):
|
||||
try:
|
||||
payload = msg.payload.decode("utf-8")
|
||||
logging.info(f"Received message on topic {msg.topic}")
|
||||
|
||||
data = json.loads(payload)
|
||||
task_id = data.get("task_id")
|
||||
|
||||
if task_id:
|
||||
thread = threading.Thread(target=handle_task, args=(client, task_id, payload))
|
||||
thread.start()
|
||||
else:
|
||||
logging.warning("Received message without task_id")
|
||||
|
||||
except json.JSONDecodeError:
|
||||
logging.error("Received message is not valid JSON")
|
||||
except Exception as e:
|
||||
logging.error(f"Error processing message: {str(e)}")
|
||||
|
||||
|
||||
def check_running_instances():
|
||||
"""检查系统中已经运行的 Dev_Fusion 实例"""
|
||||
try:
|
||||
# 使用 ps 命令查找运行中的 Dev_Fusion.py 实例
|
||||
result = subprocess.run("ps aux | grep 'python.*Dev_Fusion.py' | grep -v grep",
|
||||
shell=True, capture_output=True, text=True)
|
||||
|
||||
found_instances = []
|
||||
for line in result.stdout.splitlines():
|
||||
# 从命令行参数中提取 task_id
|
||||
if '-t' in line:
|
||||
parts = line.split()
|
||||
for i, part in enumerate(parts):
|
||||
if part == '-t' and i + 1 < len(parts):
|
||||
task_id = parts[i + 1]
|
||||
pid = parts[1] # 进程 ID 通常在第二列
|
||||
found_instances.append((task_id, pid))
|
||||
|
||||
for task_id, pid in found_instances:
|
||||
logging.info(f"Found running instance for task {task_id}, pid: {pid}")
|
||||
|
||||
# 读取该任务的最新配置
|
||||
config = read_latest_config(task_id)
|
||||
if config:
|
||||
# 将已运行的实例添加到 running_tasks
|
||||
running_tasks[task_id] = subprocess.Popen(['echo', ''], stdout=subprocess.PIPE)
|
||||
running_tasks[task_id].pid = int(pid)
|
||||
task_configs[task_id] = config
|
||||
logging.info(
|
||||
f"Successfully loaded config for task {task_id} from tasklog/received_tasklog_{task_id}.txt")
|
||||
else:
|
||||
logging.warning(f"No valid config found for task {task_id}, stopping instance...")
|
||||
subprocess.run(f"pkill -f 'python.*Dev_Fusion.py.*-t {task_id}'", shell=True)
|
||||
logging.info(f"Stopped instance {task_id} due to missing config")
|
||||
|
||||
logging.info(f"Finished checking instances. Loaded {len(running_tasks)} tasks with valid configs")
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Error checking running instances: {str(e)}")
|
||||
|
||||
|
||||
def read_latest_config(task_id):
|
||||
"""读取指定任务的最新配置"""
|
||||
try:
|
||||
log_file = os.path.join(log_folder, f"received_tasklog_{task_id}.txt")
|
||||
if not os.path.exists(log_file):
|
||||
logging.error(f"No log file found for task {task_id}")
|
||||
return None
|
||||
|
||||
with open(log_file, 'r') as f:
|
||||
content = f.read()
|
||||
|
||||
# 按配置更新块分割
|
||||
updates = content.split('=== Configuration Update at')
|
||||
if not updates:
|
||||
return None
|
||||
|
||||
# 获取最后一个更新块
|
||||
latest_update = updates[-1]
|
||||
|
||||
# 提取 Payload
|
||||
payload_start = latest_update.find('Payload: ') + len('Payload: ')
|
||||
payload_end = latest_update.find('\nAction:')
|
||||
if payload_end == -1: # 如果没有 Action 行
|
||||
payload_end = latest_update.find('\n===')
|
||||
|
||||
if payload_start > 0 and payload_end > payload_start:
|
||||
payload = latest_update[payload_start:payload_end].strip()
|
||||
return json.loads(payload)
|
||||
|
||||
return None
|
||||
except Exception as e:
|
||||
logging.error(f"Error reading latest config for task {task_id}: {str(e)}")
|
||||
return None
|
||||
|
||||
|
||||
def restart_all_instances():
|
||||
"""重启所有运行中的实例"""
|
||||
logging.info("Scheduled restart: Beginning restart of all instances")
|
||||
|
||||
# 复制当前运行的任务列表，因为我们会修改 running_tasks
|
||||
tasks_to_restart = list(running_tasks.keys())
|
||||
|
||||
for task_id in tasks_to_restart:
|
||||
try:
|
||||
# 读取最新配置
|
||||
config = read_latest_config(task_id)
|
||||
if not config:
|
||||
logging.error(f"Could not find latest config for task {task_id}, skipping restart")
|
||||
continue
|
||||
|
||||
# 停止当前实例
|
||||
logging.info(f"Stopping task {task_id} for scheduled restart")
|
||||
stop_task(task_id)
|
||||
|
||||
# 将配置转换为 JSON 字符串
|
||||
payload = json.dumps(config)
|
||||
|
||||
# 启动新实例
|
||||
logging.info(f"Starting new instance for task {task_id} with latest config")
|
||||
start_new_instance(mqtt_client, task_id, payload, config)
|
||||
|
||||
except Exception as e:
|
||||
logging.error(f"Error restarting task {task_id}: {str(e)}")
|
||||
|
||||
|
||||
def setup_scheduled_restart(restart_time="03:00"):
|
||||
"""设置定时重启任务"""
|
||||
schedule.every().day.at(restart_time).do(restart_all_instances)
|
||||
|
||||
def run_schedule():
|
||||
while True:
|
||||
schedule.run_pending()
|
||||
time.sleep(30) # 每30秒检查一次
|
||||
|
||||
# 启动调度器线程
|
||||
scheduler_thread = threading.Thread(target=run_schedule, daemon=True)
|
||||
scheduler_thread.start()
|
||||
|
||||
|
||||
def main():
|
||||
global mqtt_client # 添加全局变量以在重启时使用
|
||||
|
||||
# 在启动时检查已运行的实例
|
||||
check_running_instances()
|
||||
|
||||
# 创建 MQTT 客户端
|
||||
mqtt_client = mqtt.Client()
|
||||
mqtt_client.on_connect = on_connect
|
||||
mqtt_client.on_message = on_message
|
||||
mqtt_client.username_pw_set(mqtt_config['username'], mqtt_config['password'])
|
||||
|
||||
# 设置定时重启（默认凌晨3点）
|
||||
setup_scheduled_restart()
|
||||
|
||||
while True:
|
||||
try:
|
||||
mqtt_client.connect(mqtt_config['broker'], mqtt_config['port'], 60)
|
||||
mqtt_client.loop_forever()
|
||||
except Exception as e:
|
||||
logging.error(f"MQTT connection error: {str(e)}")
|
||||
time.sleep(5)
|
||||
|
||||
|
||||
if __name__ == "__main__":
|
||||
main()
|
||||
@@ -0,0 +1,10 @@
|
||||
mqtt:
|
||||
broker: "192.168.35.178"
|
||||
port: 31884
|
||||
username: "cmlc"
|
||||
password: "4YPk*DS%+5"
|
||||
|
||||
topics:
|
||||
mqtt_topic: "bridge/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
sensor_topic: "fromcheck/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
|
||||
67
agent-common/SplitProject/ranjing-python-devfusion/config.py
Normal file
67
agent-common/SplitProject/ranjing-python-devfusion/config.py
Normal file
@@ -0,0 +1,67 @@
|
||||
# # MQTT 配置
|
||||
# broker = "192.168.35.178" # 代理地址
|
||||
# port = 31883 # 端口
|
||||
# username = "cmlc"
|
||||
# password = "odD8#Ve7.B"
|
||||
#
|
||||
# # check.py 使用的topic
|
||||
# MQTT_TOPIC = "bridge/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
#
|
||||
# # Dev_Fusion.py 使用的topic
|
||||
# SENSOR_TOPIC = "fromcheck/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
|
||||
# 在 check 中去配置 Dev_Fusion.py启动命令
|
||||
DEV_FUSION_G = 40 # 参数 g
|
||||
DEV_FUSION_I = 0.6 # 参数 i
|
||||
|
||||
#KF_V2设置
|
||||
shift_value = 1
|
||||
survive_initial = 0.25
|
||||
decay = 0.7
|
||||
show_thres = 0.4
|
||||
reference_point = (104.08, 30.51)
|
||||
|
||||
# logs 配置
|
||||
DISCONNECT_REASONS = {
|
||||
0: "正常断开",
|
||||
1: "协议版本不匹配",
|
||||
2: "客户端标识符无效",
|
||||
3: "服务器不可用",
|
||||
4: "用户名或密码错误",
|
||||
5: "未授权",
|
||||
6: "消息代理不可用",
|
||||
7: "TLS错误",
|
||||
8: "QoS不支持",
|
||||
9: "客户端已被禁止",
|
||||
10: "服务器繁忙",
|
||||
11: "客户端已被禁止（证书相关）",
|
||||
128: "未指定错误",
|
||||
129: "畸形数据包",
|
||||
130: "协议错误",
|
||||
131: "通信错误",
|
||||
132: "服务器保持连接超时",
|
||||
133: "服务器内部错误",
|
||||
134: "服务器正在关闭",
|
||||
135: "服务器资源不足",
|
||||
136: "客户端网络套接字错误",
|
||||
137: "服务器正在关闭连接",
|
||||
138: "服务器拒绝连接",
|
||||
139: "服务器不支持该版本",
|
||||
140: "客户端ID已被使用",
|
||||
141: "连接速率超限",
|
||||
142: "最大连接数超限",
|
||||
143: "保持连接超时",
|
||||
144: "会话被接管",
|
||||
145: "连接已断开",
|
||||
146: "主题别名无效",
|
||||
147: "数据包太大",
|
||||
148: "消息速率太高",
|
||||
149: "配额超限",
|
||||
150: "管理行为",
|
||||
151: "无效的负载格式",
|
||||
152: "保留未支持",
|
||||
153: "QoS未支持",
|
||||
154: "使用另一个服务器",
|
||||
155: "服务器已迁移",
|
||||
156: "连接不支持",
|
||||
}
|
||||
@@ -0,0 +1,10 @@
|
||||
mqtt:
|
||||
broker: "192.168.35.178"
|
||||
port: 31883
|
||||
username: "cmlc"
|
||||
password: "odD8#Ve7.B"
|
||||
|
||||
topics:
|
||||
mqtt_topic: "bridge/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
sensor_topic: "fromcheck/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
|
||||
@@ -0,0 +1,19 @@
|
||||
|
||||
|
||||
try {
|
||||
$ErrorActionPreference = "Stop"
|
||||
|
||||
Write-Host "1. Uploading binary exec..." -ForegroundColor Green
|
||||
ssh root@192.168.35.71 "mkdir -p /root/wdd/ranjing-python-devfusion/"
|
||||
scp C:\Users\wdd\IdeaProjects\ProjectOctopus\agent-common\SplitProject\ranjing-python-devfusion\* root@192.168.35.71:/root/wdd/ranjing-python-devfusion/
|
||||
|
||||
Write-Host "2. Exec the command ..." -ForegroundColor Blue
|
||||
Write-Host ""
|
||||
Write-Host ""
|
||||
ssh root@192.168.35.71 "cd /root/wdd/ranjing-python-devfusion/ && docker build -t ranjing/dev-fusion:v1.0 ."
|
||||
Write-Host ""
|
||||
Write-Host ""
|
||||
} catch {
|
||||
Write-Host "操作失败: $_" -ForegroundColor Red
|
||||
exit 1
|
||||
}
|
||||
Binary file not shown.
@@ -0,0 +1,8 @@
|
||||
#!/bin/bash
|
||||
|
||||
|
||||
docker run --name devfusion \
|
||||
-d \
|
||||
--rm \
|
||||
-v /root/wdd/ranjing-python-devfusion/config-dev.yaml:/dev-fusion/config.yaml \
|
||||
harbor.cdcdyy.com.cn/cmii/cmii-uavms-pyfusion:6.2.0
|
||||
@@ -0,0 +1,62 @@
|
||||
from math import radians, cos, degrees
|
||||
from math import radians, degrees, sin, cos, atan2, sqrt
|
||||
|
||||
|
||||
def convert_to_cartesian(lat, lon, reference_point):
|
||||
"""将经纬度转换为基于参考点的直角坐标，考虑地球椭球模型"""
|
||||
# 地球椭球参数（WGS84）
|
||||
a = 6378137.0 # 长半轴，单位：米
|
||||
f = 1 / 298.257223563 # 扁率
|
||||
e2 = 2 * f - f ** 2 # 第一偏心率平方
|
||||
|
||||
# 提取参考点坐标
|
||||
ref_lat, ref_lon = reference_point
|
||||
|
||||
# 转换成弧度
|
||||
lat_rad = radians(lat)
|
||||
lon_rad = radians(lon)
|
||||
ref_lat_rad = radians(ref_lat)
|
||||
ref_lon_rad = radians(ref_lon)
|
||||
|
||||
# 计算曲率半径
|
||||
N = a / sqrt(1 - e2 * sin(ref_lat_rad) ** 2) # 参考点处的卯酉圈曲率半径
|
||||
|
||||
# 计算基于参考点的平面直角坐标
|
||||
delta_lon = lon_rad - ref_lon_rad
|
||||
X = (N + 0) * cos(ref_lat_rad) * delta_lon
|
||||
Y = (a * (1 - e2)) / (1 - e2 * sin(ref_lat_rad) ** 2) * (lat_rad - ref_lat_rad)
|
||||
|
||||
return X, Y
|
||||
|
||||
|
||||
def convert_to_geodetic(x, y, reference_point):
|
||||
"""将直角坐标转换为经纬度，考虑地球椭球模型"""
|
||||
# 地球椭球参数（WGS84）
|
||||
a = 6378137.0 # 长半轴，单位：米
|
||||
f = 1 / 298.257223563 # 扁率
|
||||
e2 = 2 * f - f ** 2 # 第一偏心率平方
|
||||
|
||||
# 提取参考点坐标
|
||||
ref_lat, ref_lon = reference_point
|
||||
|
||||
# 转换成弧度
|
||||
ref_lat_rad = radians(ref_lat)
|
||||
ref_lon_rad = radians(ref_lon)
|
||||
|
||||
# 计算曲率半径
|
||||
N = a / sqrt(1 - e2 * sin(ref_lat_rad) ** 2) # 参考点处的卯酉圈曲率半径
|
||||
|
||||
# 计算纬度
|
||||
lat_rad = y * (1 - e2 * sin(ref_lat_rad) ** 2) / (a * (1 - e2)) + ref_lat_rad
|
||||
|
||||
# 计算经度
|
||||
if cos(ref_lat_rad) == 0:
|
||||
lon_rad = 0
|
||||
else:
|
||||
lon_rad = x / ((N + 0) * cos(ref_lat_rad)) + ref_lon_rad
|
||||
|
||||
# 转换回角度
|
||||
lat = degrees(lat_rad)
|
||||
lon = degrees(lon_rad)
|
||||
|
||||
return lat, lon
|
||||
423
agent-common/SplitProject/ranjing-python-devfusion/utils.py
Normal file
423
agent-common/SplitProject/ranjing-python-devfusion/utils.py
Normal file
@@ -0,0 +1,423 @@
|
||||
import datetime
|
||||
from transformation import *
|
||||
import json
|
||||
import numpy as np
|
||||
|
||||
|
||||
class Pipeline:
|
||||
def __init__(self, fusion_parameters_topic,reference_point):
|
||||
self.fusion_parameters_topic = fusion_parameters_topic
|
||||
self.task_id = '554343465692430336'
|
||||
self.reference_point = reference_point
|
||||
# self.deviceId = deviceId
|
||||
self.sensor_id_list = ["10000000000"]
|
||||
self.fusionCode = 'DPZYLY'
|
||||
self.publish_topic = f"bridge/{self.fusionCode}/device_data/fusion/{self.task_id}"
|
||||
self.priority_dict = {"10000000000":1}
|
||||
self.uavInfo_bucket = dict()
|
||||
self.target_bowl = dict()
|
||||
self.device_info_dict = dict()
|
||||
self.device_type_mapping = {
|
||||
"5ga": 0,
|
||||
"radar": 1,
|
||||
"spec": 2,
|
||||
"oe": 3,
|
||||
"cm": 4,
|
||||
"dec": 5,
|
||||
"ifr": 6,
|
||||
"cv": 7,
|
||||
"isrs": 8,
|
||||
"aoa": 9,
|
||||
"tdoa": 10,
|
||||
"dcd": 11,
|
||||
"direct": 100,
|
||||
"rtk": 101,
|
||||
"rid": 102,
|
||||
"fusion": 1000,
|
||||
"other": 999 # 假设 'other' 对应于未知设备类型
|
||||
}
|
||||
self.device_type_speedrank = {
|
||||
"radar": 1,
|
||||
"spec": 2,
|
||||
"oe": 3,
|
||||
"cm": 4,
|
||||
"dec": 5,
|
||||
"ifr": 6,
|
||||
"cv": 7,
|
||||
"isrs": 8,
|
||||
"aoa": 9,
|
||||
"tdoa": 10,
|
||||
"dcd": 13,
|
||||
"direct": 12,
|
||||
"5ga": 11,
|
||||
"rid": 14,
|
||||
"rtk": 15,
|
||||
"other": 0 # 假设 'other' 对应于未知设备类型
|
||||
}
|
||||
|
||||
import json
|
||||
|
||||
def process_json_data(self, json_data):
|
||||
"""
|
||||
将 JSON 数据转换为字典，并添加 X 和 Y 属性。
|
||||
"""
|
||||
data_dict = json.loads(json_data)
|
||||
|
||||
# 安全访问 'ptTime' 键
|
||||
pt_time = data_dict.get('ptTime')
|
||||
if pt_time is not None:
|
||||
print(pt_time)
|
||||
else:
|
||||
print("Key 'ptTime' not found in data_dict.")
|
||||
|
||||
# 安全访问 'objects' 键
|
||||
objects = data_dict.get('objects')
|
||||
if objects is None:
|
||||
print("Key 'objects' not found in data_dict.")
|
||||
return data_dict # 如果 'objects' 键不存在，直接返回原始字典或根据需要进行其他处理
|
||||
|
||||
# 如果 'objects' 键存在，继续处理
|
||||
for record in objects:
|
||||
# 检查 'latitude' 和 'longitude' 键是否存在于 record 中
|
||||
if 'latitude' in record and 'longitude' in record:
|
||||
lat = record['latitude']
|
||||
lon = record['longitude']
|
||||
X, Y = convert_to_cartesian(lat, lon, self.reference_point)
|
||||
record['X'] = X
|
||||
record['Y'] = Y
|
||||
else:
|
||||
print("Record is missing 'latitude' or 'longitude' keys.")
|
||||
|
||||
return data_dict
|
||||
|
||||
def data_encoder(self, data_list):
|
||||
"""
|
||||
生成数据矩阵和 ID 列表。
|
||||
"""
|
||||
sensor_data = []
|
||||
for sensor_id in self.sensor_id_list:
|
||||
temp = {'data_matrix': [],
|
||||
'id_list': [],
|
||||
'deviceId': sensor_id,
|
||||
'latest_time': [],
|
||||
'priority':1}
|
||||
for record in data_list:
|
||||
if record.get('noteData'):
|
||||
obj = record['noteData']
|
||||
obj['objectId'] = obj['uasId']
|
||||
obj['deviceId'] = obj["extension"]['deviceId']
|
||||
record['objects'] = [obj]
|
||||
|
||||
if record['deviceId'] == sensor_id:
|
||||
temp['priority'] = self.priority_dict[sensor_id]
|
||||
if record.get('objects'):
|
||||
for obj in record['objects']:
|
||||
if obj['objectId'] in temp['id_list']:
|
||||
position = temp['id_list'].index(obj['objectId'])
|
||||
if int(record['ptTime']) > int(temp['latest_time'][position]):
|
||||
temp['data_matrix'][position] = [obj['X'], obj['Y'], obj['altitude']]
|
||||
else:
|
||||
temp['data_matrix'].append([obj['X'], obj['Y'], obj['altitude']])
|
||||
temp['id_list'].append(obj['objectId'])
|
||||
temp['latest_time'].append(record['ptTime'])
|
||||
# 把扩展地段写入
|
||||
if obj.get('extension'):
|
||||
B_id = str(record['deviceId'])+str(obj['objectId'])
|
||||
self.uavInfo_bucket[B_id] = obj['extension']
|
||||
# 如果对象有speed字段，将其添加到extension中
|
||||
if obj.get('speed'):
|
||||
self.uavInfo_bucket[B_id]['speed'] = obj['speed']
|
||||
# 如果对象有height字段，也存储它
|
||||
if obj.get('height'):
|
||||
self.uavInfo_bucket[B_id]['height'] = obj['height']
|
||||
|
||||
# 写入到数据字典中
|
||||
temp['data_matrix'] = np.array(temp['data_matrix'])
|
||||
sensor_data.append(temp)
|
||||
return sensor_data
|
||||
|
||||
def process_extension(self, target):
|
||||
# 定义一个字典，包含给定的键值对
|
||||
extension = {
|
||||
"objectType": 30,
|
||||
"uavSN": "Un-known",
|
||||
"uavModel": "Un-known",
|
||||
"pilotLat": 0.0,
|
||||
"pilotLon": 0.0,
|
||||
"speedX": 0.0,
|
||||
"speedY": 0.0,
|
||||
"speedZ": 0.0,
|
||||
"time": 0.0,
|
||||
"born_time": 0.0
|
||||
}
|
||||
|
||||
# 从target_bowl获取历史值
|
||||
if target['objectId'] in self.target_bowl.keys():
|
||||
extension = self.target_bowl[target['objectId']]
|
||||
|
||||
result_source = target['source']
|
||||
# 对数据进行更新
|
||||
for source in result_source:
|
||||
id = str(source[0]) + str(source[1])
|
||||
if self.uavInfo_bucket.get(id):
|
||||
for key, value in self.uavInfo_bucket[id].items():
|
||||
# 只有当新值是有效值时才更新
|
||||
if value not in ["Un-known", 0.0, None, "Unknown", "DJI Mavic"]:
|
||||
extension[key] = value
|
||||
|
||||
extension['born_time'] = int(target['born_time'])
|
||||
|
||||
# 更新target_bowl以保持状态
|
||||
self.target_bowl[target['objectId']] = extension
|
||||
|
||||
return extension
|
||||
|
||||
def data_decoder(self, filtered_results):
|
||||
"""
|
||||
解码过滤后的结果。
|
||||
"""
|
||||
current_time = datetime.datetime.now()
|
||||
timestamp = int(current_time.timestamp() * 1000)
|
||||
combined_objects = []
|
||||
for target in filtered_results:
|
||||
X = target['X']
|
||||
Y = target['Y']
|
||||
Z = target['Z'] # 这里的Z实际上是altitude
|
||||
lat, lon = convert_to_geodetic(X, Y, self.reference_point)
|
||||
extension = self.process_extension(target)
|
||||
extension['time'] = int(timestamp)
|
||||
extension['born_time'] = int(int(target['born_time']) / 1000) # 毫秒单位数据
|
||||
|
||||
new_origin_source = []
|
||||
for source in target['source']:
|
||||
device_id, object_id = source
|
||||
# 从 device_info_dict 获取设备缩写
|
||||
device_abbreviation = self.device_info_dict.get(device_id, {}).get('device_type', 'other')
|
||||
# 使用映射字典获取设备类型
|
||||
device_type = self.device_type_mapping.get(device_abbreviation, 999)
|
||||
new_origin_source.append(f"{device_type}_{device_id}_{object_id}")
|
||||
|
||||
# 根据优先级顺序选择速度
|
||||
highest_priority_speed = None
|
||||
highest_priority = float('inf')
|
||||
|
||||
for source in target['source']:
|
||||
device_id, object_id = source
|
||||
B_id = str(device_id) + str(object_id)
|
||||
if self.uavInfo_bucket.get(B_id):
|
||||
device_type = self.device_info_dict.get(device_id, {}).get('device_type', 'other')
|
||||
priority = self.device_type_speedrank.get(device_type, float('inf'))
|
||||
|
||||
if priority < highest_priority:
|
||||
highest_priority = priority
|
||||
# 获取速度并进行单位转换
|
||||
speed = self.uavInfo_bucket[B_id].get('speed', target['speed'])
|
||||
if device_type == "5ga": # 如果设备类型是5ga，进行转换
|
||||
speed = speed / 3.6 # 从 km/h 转换为 m/s
|
||||
highest_priority_speed = speed
|
||||
|
||||
# 确保 highest_priority_speed 是从设备获取的速度
|
||||
if highest_priority_speed is None:
|
||||
# 如果没有找到当前速度，查找历史记录中的速度
|
||||
for obj in reversed(combined_objects):
|
||||
if obj["objectId"] == target['objectId']:
|
||||
highest_priority_speed = obj.get("speed")
|
||||
break
|
||||
|
||||
if highest_priority_speed is None:
|
||||
print(f"Warning: No speed found for target {target['objectId']}, using default target speed.")
|
||||
new_speed = target['speed']
|
||||
else:
|
||||
new_speed = highest_priority_speed
|
||||
else:
|
||||
new_speed = highest_priority_speed
|
||||
|
||||
# Debug 输出，检查速度来源
|
||||
print(f"Selected speed for target {target['objectId']}: {new_speed} from device with priority {highest_priority}")
|
||||
|
||||
# 获取height字段
|
||||
height = None
|
||||
for source in target['source']:
|
||||
device_id, object_id = source
|
||||
B_id = str(device_id) + str(object_id)
|
||||
if self.uavInfo_bucket.get(B_id):
|
||||
if self.uavInfo_bucket[B_id].get('height'):
|
||||
height = self.uavInfo_bucket[B_id]['height']
|
||||
break
|
||||
|
||||
# 如果当前没有获取到height，查找历史记录中的height
|
||||
if height is None:
|
||||
for obj in reversed(combined_objects):
|
||||
if obj["objectId"] == target['objectId']:
|
||||
prev_height = obj.get("height")
|
||||
if prev_height is not None: # 如果找到有效的历史height
|
||||
height = prev_height
|
||||
break
|
||||
|
||||
# 如果仍然没有找到height，保持上一次的最新历史height
|
||||
if height is None and combined_objects:
|
||||
for obj in reversed(combined_objects):
|
||||
if obj["objectId"] == target['objectId']:
|
||||
height = obj.get("height")
|
||||
break
|
||||
|
||||
temp = {
|
||||
# "msg_cnt":result['msg_cnt'],#增加msg_cnt用于检测有无丢包
|
||||
"objectId": target['objectId'],
|
||||
"X": X,
|
||||
"Y": Y,
|
||||
"height": height, # 使用当前height或历史height
|
||||
"altitude": Z,
|
||||
"speed": new_speed, # 使用优先级最高的速度
|
||||
'latitude': lat,
|
||||
'longitude': lon,
|
||||
'sigma': target['sigma'],
|
||||
"extension": {
|
||||
"origin_source": new_origin_source, # 更新后的 origin_source
|
||||
# 其他extension字段...
|
||||
"objectType": extension.get('objectType', 0),
|
||||
"uavSN": extension.get("uavSN", "Un-known"),
|
||||
"uavModel": extension.get("uavModel", "Un-known"),
|
||||
"pilotLat": extension.get("pilotLat", 0.0),
|
||||
"pilotLon": extension.get("pilotLon", 0.0),
|
||||
"speedX": 0.0, # 不再使用速度分量
|
||||
"speedY": 0.0,
|
||||
"speedZ": 0.0,
|
||||
"time": int(timestamp),
|
||||
"born_time": int(int(target['born_time']) / 1000),
|
||||
},
|
||||
"time": int(timestamp),
|
||||
}
|
||||
|
||||
# 检查extension中的objectType是否已经被设置为非0值，如果是，则不再覆盖.
|
||||
if extension.get('objectType', 0) != 0 or target['objectId'] not in [obj['objectId'] for obj in
|
||||
combined_objects]:
|
||||
temp["extension"]["objectType"] = extension.get('objectType', 0)
|
||||
else:
|
||||
# 查找combined_objects中相同objectId的objectType，如果不存在则使用0
|
||||
existing_object_types = [obj["extension"].get('objectType', 0) for obj in combined_objects if
|
||||
obj["objectId"] == target['objectId']]
|
||||
if existing_object_types and existing_object_types[0] != 0:
|
||||
temp["extension"]["objectType"] = existing_object_types[0]
|
||||
else:
|
||||
temp["extension"]["objectType"] = 0
|
||||
|
||||
# 检查并更新uavSN和uavModel
|
||||
invalid_values = ["Un-known", 0.0, None, "Unknown", "DJI Mavic"]
|
||||
|
||||
# 检查uavSN是否为字母数字组合防止其他部分引入奇怪的值
|
||||
current_sn = extension.get('uavSN', "Un-known")
|
||||
if isinstance(current_sn, str):
|
||||
has_letter = any(c.isalpha() for c in current_sn)
|
||||
has_digit = any(c.isdigit() for c in current_sn)
|
||||
if not (has_letter and has_digit):
|
||||
# 先查找相同objectId的历史有效SN
|
||||
for obj in reversed(combined_objects):
|
||||
if obj["objectId"] == target['objectId']:
|
||||
prev_sn = obj["extension"].get("uavSN", "Un-known")
|
||||
if isinstance(prev_sn, str):
|
||||
has_letter = any(c.isalpha() for c in prev_sn)
|
||||
has_digit = any(c.isdigit() for c in prev_sn)
|
||||
if has_letter and has_digit:
|
||||
current_sn = prev_sn
|
||||
break
|
||||
temp["extension"]["uavSN"] = current_sn
|
||||
temp["extension"]["uavModel"] = extension.get('uavModel', "Un-known")
|
||||
|
||||
combined_objects.append(temp)
|
||||
|
||||
data_processed = {
|
||||
"deviceType": 1000,
|
||||
"providerCode": "DPZYLY",
|
||||
"deviceId": self.task_id,
|
||||
"objects": combined_objects,
|
||||
"ptTime": int(timestamp)
|
||||
}
|
||||
# 筛选有意义的数据
|
||||
if data_processed and data_processed.get("objects") and len(data_processed["objects"]) > 0:
|
||||
formatted_time = current_time.strftime('%Y-%m-%d %H:%M:%S')
|
||||
with open('PB_log.txt', 'a') as log_file: # 以追加模式打开日志文件
|
||||
log_file.write('=====================\n') # 写入分隔符
|
||||
log_file.write(f"time: {formatted_time}\n") # 写入时间戳
|
||||
log_file.write(f"data: {data_processed}\n")
|
||||
return data_processed
|
||||
|
||||
def extract_parms(self, parm_data):
|
||||
"""
|
||||
提取参数。
|
||||
"""
|
||||
id_list = [] # 存储设备ID
|
||||
priority_dict = {} # 存储设备优先级
|
||||
device_info_dict = {} # 新增：存储设备详细信息的字典，用于后续拿到与
|
||||
|
||||
data_dict = json.loads(parm_data)
|
||||
print(data_dict)
|
||||
self.task_id = data_dict['task_id']
|
||||
new_topics = [("fromcheck/DPZYLY/fly_data/rtk/#", 0)]
|
||||
|
||||
devices = data_dict['devices']
|
||||
for device in devices:
|
||||
device_id = device['device_id']
|
||||
if device_id:
|
||||
id_list.append(device_id)
|
||||
new_topics.append((device["device_topic"], 0))
|
||||
|
||||
# 存储设备优先级，默认优先级为1
|
||||
if device.get('priority'):
|
||||
priority_dict[device_id] = device['priority']
|
||||
else:
|
||||
priority_dict[device_id] = 1
|
||||
|
||||
# 使用列表存储设备的详细信息（topic、type、sampling_rate），完成一对多
|
||||
device_info_dict[device_id] = {
|
||||
'device_topic': device['device_topic'],
|
||||
'device_type': device['device_type'],
|
||||
'sampling_rate': device['properties'].get('sampling_rate', 1) # 默认为None，如果没有提供
|
||||
}
|
||||
|
||||
self.priority_dict = priority_dict
|
||||
self.device_info_dict = device_info_dict # 将设备信息字典存储到实例变量中
|
||||
self.sensor_id_list = id_list
|
||||
|
||||
# 处理参考点
|
||||
if data_dict.get('reference_point'):
|
||||
try:
|
||||
original_reference_point = data_dict['reference_point']
|
||||
if len(original_reference_point) == 2: # 确保是包含两个元素的元组或列表
|
||||
self.reference_point = (
|
||||
float(original_reference_point[0]) + 0,
|
||||
float(original_reference_point[1]) + 0
|
||||
)
|
||||
else:
|
||||
raise ValueError("Invalid reference_point structure. Must be a tuple or list with two elements.")
|
||||
except Exception as e:
|
||||
print(f"Error processing reference_point: {e}")
|
||||
self.reference_point = None # 或者设置为某个默认值
|
||||
|
||||
return new_topics
|
||||
|
||||
def extract_fusion_parms(self,parm_data):
|
||||
data_dict = json.loads(parm_data)
|
||||
# 定义 fusion_dict 字典，包含需要从 data_dict 中提取的键
|
||||
fusion_dict = {
|
||||
"fusion_type": 1,
|
||||
"gate": 1,
|
||||
"interval": 1,
|
||||
"show_thres": 0.4
|
||||
}
|
||||
|
||||
# 检查 data_dict 中是否存在对应的键，并更新 fusion_dict 中的值
|
||||
if "fusion_type" in data_dict:
|
||||
fusion_dict["fusion_type"] = data_dict["fusion_type"]
|
||||
|
||||
if "gate" in data_dict:
|
||||
fusion_dict["gate"] = data_dict["gate"]
|
||||
|
||||
if "interval" in data_dict:
|
||||
fusion_dict["interval"] = data_dict["interval"]
|
||||
|
||||
if "show_thres" in data_dict:
|
||||
fusion_dict["show_thres"] = data_dict["show_thres"]
|
||||
|
||||
# 返回更新后的 fusion_dict
|
||||
return fusion_dict
|
||||
@@ -0,0 +1,71 @@
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: fe-configmap
|
||||
namespace: doriscluster
|
||||
labels:
|
||||
app.kubernetes.io/component: fe
|
||||
data:
|
||||
fe.conf: |
|
||||
CUR_DATE=`date +%Y%m%d-%H%M%S`
|
||||
|
||||
# the output dir of stderr and stdout
|
||||
LOG_DIR = ${DORIS_HOME}/log
|
||||
|
||||
JAVA_OPTS="-Djavax.security.auth.useSubjectCredsOnly=false -Xss4m -Xmx8192m -XX:+UseMembar -XX:SurvivorRatio=8 -XX:MaxTenuringThreshold=7 -XX:+PrintGCDateStamps -XX:+PrintGCDetails -XX:+UseConcMarkSweepGC -XX:+UseParNewGC -XX:+CMSClassUnloadingEnabled -XX:-CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=80 -XX:SoftRefLRUPolicyMSPerMB=0 -Xloggc:$DORIS_HOME/log/fe.gc.log.$CUR_DATE"
|
||||
|
||||
# For jdk 9+, this JAVA_OPTS will be used as default JVM options
|
||||
JAVA_OPTS_FOR_JDK_9="-Djavax.security.auth.useSubjectCredsOnly=false -Xss4m -Xmx8192m -XX:SurvivorRatio=8 -XX:MaxTenuringThreshold=7 -XX:+CMSClassUnloadingEnabled -XX:-CMSParallelRemarkEnabled -XX:CMSInitiatingOccupancyFraction=80 -XX:SoftRefLRUPolicyMSPerMB=0 -Xlog:gc*:$DORIS_HOME/log/fe.gc.log.$CUR_DATE:time"
|
||||
|
||||
# INFO, WARN, ERROR, FATAL
|
||||
sys_log_level = INFO
|
||||
|
||||
# NORMAL, BRIEF, ASYNC
|
||||
sys_log_mode = NORMAL
|
||||
|
||||
# Default dirs to put jdbc drivers,default value is ${DORIS_HOME}/jdbc_drivers
|
||||
# jdbc_drivers_dir = ${DORIS_HOME}/jdbc_drivers
|
||||
|
||||
http_port = 8030
|
||||
arrow_flight_sql_port = 9090
|
||||
rpc_port = 9020
|
||||
query_port = 9030
|
||||
edit_log_port = 9010
|
||||
|
||||
enable_fqdn_mode = true
|
||||
---
|
||||
apiVersion: v1
|
||||
kind: ConfigMap
|
||||
metadata:
|
||||
name: be-configmap
|
||||
namespace: doriscluster
|
||||
labels:
|
||||
app.kubernetes.io/component: be
|
||||
data:
|
||||
be.conf: |
|
||||
CUR_DATE=`date +%Y%m%d-%H%M%S`
|
||||
|
||||
PPROF_TMPDIR="$DORIS_HOME/log/"
|
||||
|
||||
JAVA_OPTS="-Xmx1024m -DlogPath=$DORIS_HOME/log/jni.log -Xloggc:$DORIS_HOME/log/be.gc.log.$CUR_DATE -Djavax.security.auth.useSubjectCredsOnly=false -Dsun.java.command=DorisBE -XX:-CriticalJNINatives -DJDBC_MIN_POOL=1 -DJDBC_MAX_POOL=100 -DJDBC_MAX_IDLE_TIME=300000 -DJDBC_MAX_WAIT_TIME=5000"
|
||||
|
||||
# For jdk 9+, this JAVA_OPTS will be used as default JVM options
|
||||
JAVA_OPTS_FOR_JDK_9="-Xmx1024m -DlogPath=$DORIS_HOME/log/jni.log -Xlog:gc:$DORIS_HOME/log/be.gc.log.$CUR_DATE -Djavax.security.auth.useSubjectCredsOnly=false -Dsun.java.command=DorisBE -XX:-CriticalJNINatives -DJDBC_MIN_POOL=1 -DJDBC_MAX_POOL=100 -DJDBC_MAX_IDLE_TIME=300000 -DJDBC_MAX_WAIT_TIME=5000"
|
||||
|
||||
# since 1.2, the JAVA_HOME need to be set to run BE process.
|
||||
# JAVA_HOME=/path/to/jdk/
|
||||
|
||||
# https://github.com/apache/doris/blob/master/docs/zh-CN/community/developer-guide/debug-tool.md#jemalloc-heap-profile
|
||||
# https://jemalloc.net/jemalloc.3.html
|
||||
JEMALLOC_CONF="percpu_arena:percpu,background_thread:true,metadata_thp:auto,muzzy_decay_ms:15000,dirty_decay_ms:15000,oversize_threshold:0,lg_tcache_max:20,prof:false,lg_prof_interval:32,lg_prof_sample:19,prof_gdump:false,prof_accum:false,prof_leak:false,prof_final:false"
|
||||
JEMALLOC_PROF_PRFIX=""
|
||||
|
||||
# INFO, WARNING, ERROR, FATAL
|
||||
sys_log_level = INFO
|
||||
|
||||
# ports for admin, web, heartbeat service
|
||||
be_port = 9060
|
||||
webserver_port = 8040
|
||||
heartbeat_service_port = 9050
|
||||
arrow_flight_sql_port = 39091
|
||||
brpc_port = 8060
|
||||
101
agent-common/SplitProject/监管平台-Doris-集群部署/doris-deplyment.yaml
Normal file
101
agent-common/SplitProject/监管平台-Doris-集群部署/doris-deplyment.yaml
Normal file
@@ -0,0 +1,101 @@
|
||||
apiVersion: doris.selectdb.com/v1
|
||||
kind: DorisCluster
|
||||
metadata:
|
||||
labels:
|
||||
app.kubernetes.io/name: doriscluster
|
||||
name: doriscluster-helm
|
||||
namespace: doriscluster
|
||||
spec:
|
||||
feSpec:
|
||||
replicas: 1
|
||||
image: harbor.cdcyy.com.cn/cmii/doris.fe-ubuntu:2.1.6
|
||||
limits:
|
||||
cpu: 8
|
||||
memory: 16Gi
|
||||
requests:
|
||||
cpu: 2
|
||||
memory: 6Gi
|
||||
configMapInfo:
|
||||
# use kubectl create configmap fe-configmap --from-file=fe.conf
|
||||
configMapName: fe-configmap
|
||||
resolveKey: fe.conf
|
||||
nodeSelector:
|
||||
uavcloud.env: demo
|
||||
persistentVolumes:
|
||||
- mountPath: /opt/apache-doris/fe/doris-meta
|
||||
name: doriscluster-storage0
|
||||
persistentVolumeClaimSpec:
|
||||
# when use specific storageclass, the storageClassName should reConfig, example as annotation.
|
||||
storageClassName: nfs-prod-distribute
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
# notice: if the storage size less 5G, fe will not start normal.
|
||||
requests:
|
||||
storage: 300Gi
|
||||
- mountPath: /opt/apache-doris/fe/log
|
||||
name: doriscluster-storage1
|
||||
persistentVolumeClaimSpec:
|
||||
# when use specific storageclass, the storageClassName should reConfig, example as annotation.
|
||||
storageClassName: nfs-prod-distribute
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 100Gi
|
||||
- mountPath: /opt/apache-doris/fe/jdbc_drivers
|
||||
name: doriscluster-storage-fe-jdbc-drivers
|
||||
persistentVolumeClaimSpec:
|
||||
# when use specific storageclass, the storageClassName should reConfig, example as annotation.
|
||||
storageClassName: nfs-prod-distribute
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 100Gi
|
||||
beSpec:
|
||||
replicas: 3
|
||||
image: harbor.cdcyy.com.cn/cmii/doris.be-ubuntu:2.1.6
|
||||
limits:
|
||||
cpu: 8
|
||||
memory: 24Gi
|
||||
requests:
|
||||
cpu: 2
|
||||
memory: 6Gi
|
||||
configMapInfo:
|
||||
# use kubectl create configmap be-configmap --from-file=be.conf
|
||||
configMapName: be-configmap
|
||||
resolveKey: be.conf
|
||||
nodeSelector:
|
||||
uavcloud.env: demo
|
||||
persistentVolumes:
|
||||
- mountPath: /opt/apache-doris/be/storage
|
||||
name: doriscluster-storage2
|
||||
persistentVolumeClaimSpec:
|
||||
# when use specific storageclass, the storageClassName should reConfig, example as annotation.
|
||||
storageClassName: nfs-prod-distribute
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 300Gi
|
||||
- mountPath: /opt/apache-doris/be/log
|
||||
name: doriscluster-storage3
|
||||
persistentVolumeClaimSpec:
|
||||
# when use specific storageclass, the storageClassName should reConfig, example as annotation.
|
||||
storageClassName: nfs-prod-distribute
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 100Gi
|
||||
- mountPath: /opt/apache-doris/be/jdbc_drivers
|
||||
name: doriscluster-storage-be-jdbc-drivers
|
||||
persistentVolumeClaimSpec:
|
||||
# when use specific storageclass, the storageClassName should reConfig, example as annotation.
|
||||
storageClassName: nfs-prod-distribute
|
||||
accessModes:
|
||||
- ReadWriteOnce
|
||||
resources:
|
||||
requests:
|
||||
storage: 100Gi
|
||||
7443
agent-common/SplitProject/监管平台-Doris-集群部署/doris-kind.yaml
Normal file
7443
agent-common/SplitProject/监管平台-Doris-集群部署/doris-kind.yaml
Normal file
File diff suppressed because it is too large
Load Diff
347
agent-common/SplitProject/监管平台-Doris-集群部署/doris-operator.yaml
Normal file
347
agent-common/SplitProject/监管平台-Doris-集群部署/doris-operator.yaml
Normal file
@@ -0,0 +1,347 @@
|
||||
# Source: doris-operator/templates/serviceaccount.yaml
|
||||
apiVersion: v1
|
||||
kind: ServiceAccount
|
||||
metadata:
|
||||
labels:
|
||||
app.kubernetes.io/name: serviceaccount
|
||||
app.kubernetes.io/instance: controller-doris-operator-sa
|
||||
app.kubernetes.io/component: rbac
|
||||
app.kubernetes.io/created-by: doris-operator
|
||||
app.kubernetes.io/part-of: doris-operator
|
||||
app.kubernetes.io/managed-by: Helm
|
||||
name: doris-operator
|
||||
namespace: doriscluster
|
||||
---
|
||||
# Source: doris-operator/templates/clusterrole.yaml
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
kind: ClusterRole
|
||||
metadata:
|
||||
creationTimestamp: null
|
||||
name: doris-operator
|
||||
rules:
|
||||
- apiGroups:
|
||||
- apps
|
||||
resources:
|
||||
- statefulsets
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
- apiGroups:
|
||||
- apps
|
||||
resources:
|
||||
- statefulsets/status
|
||||
verbs:
|
||||
- get
|
||||
- apiGroups:
|
||||
- autoscaling
|
||||
resources:
|
||||
- horizontalpodautoscalers
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- configmaps
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- endpoints
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- pods
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- persistentvolumeclaims
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- update
|
||||
- patch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- secrets
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- serviceaccounts
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- services
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
- apiGroups:
|
||||
- doris.selectdb.com
|
||||
resources:
|
||||
- dorisclusters
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
- apiGroups:
|
||||
- doris.selectdb.com
|
||||
resources:
|
||||
- dorisclusters/finalizers
|
||||
verbs:
|
||||
- update
|
||||
- apiGroups:
|
||||
- doris.selectdb.com
|
||||
resources:
|
||||
- dorisclusters/status
|
||||
verbs:
|
||||
- get
|
||||
- patch
|
||||
- update
|
||||
- apiGroups:
|
||||
- rbac.authorization.k8s.io
|
||||
resources:
|
||||
- clusterrolebindings
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
- apiGroups:
|
||||
- rbac.authorization.k8s.io
|
||||
resources:
|
||||
- rolebindings
|
||||
verbs:
|
||||
- create
|
||||
- delete
|
||||
- get
|
||||
- list
|
||||
- patch
|
||||
- update
|
||||
- watch
|
||||
---
|
||||
# Source: doris-operator/templates/clusterrolebinding.yaml
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
kind: ClusterRoleBinding
|
||||
metadata:
|
||||
labels:
|
||||
app.kubernetes.io/name: clusterrolebinding
|
||||
app.kubernetes.io/instance: doris-operator-rolebinding
|
||||
app.kubernetes.io/component: rbac
|
||||
app.kubernetes.io/created-by: doris-operator
|
||||
app.kubernetes.io/part-of: doris-operator
|
||||
app.kubernetes.io/managed-by: Helm
|
||||
name: doris-operator-rolebinding
|
||||
roleRef:
|
||||
apiGroup: rbac.authorization.k8s.io
|
||||
kind: ClusterRole
|
||||
name: doris-operator
|
||||
subjects:
|
||||
- kind: ServiceAccount
|
||||
name: doris-operator
|
||||
namespace: doriscluster
|
||||
---
|
||||
# Source: doris-operator/templates/leader-election-role.yaml
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
kind: Role
|
||||
metadata:
|
||||
labels:
|
||||
app.kubernetes.io/name: role
|
||||
app.kubernetes.io/instance: leader-election-role
|
||||
app.kubernetes.io/component: rbac
|
||||
app.kubernetes.io/created-by: doris-operator
|
||||
app.kubernetes.io/part-of: doris-operator
|
||||
app.kubernetes.io/managed-by: Helm
|
||||
name: leader-election-role
|
||||
namespace: doriscluster
|
||||
rules:
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- configmaps
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- create
|
||||
- update
|
||||
- patch
|
||||
- delete
|
||||
- apiGroups:
|
||||
- coordination.k8s.io
|
||||
resources:
|
||||
- leases
|
||||
verbs:
|
||||
- get
|
||||
- list
|
||||
- watch
|
||||
- create
|
||||
- update
|
||||
- patch
|
||||
- delete
|
||||
- apiGroups:
|
||||
- ""
|
||||
resources:
|
||||
- events
|
||||
verbs:
|
||||
- create
|
||||
- patch
|
||||
---
|
||||
# Source: doris-operator/templates/leader-election-role-binding.yaml
|
||||
apiVersion: rbac.authorization.k8s.io/v1
|
||||
kind: RoleBinding
|
||||
metadata:
|
||||
labels:
|
||||
app.kubernetes.io/name: rolebinding
|
||||
app.kubernetes.io/instance: leader-election-rolebinding
|
||||
app.kubernetes.io/component: rbac
|
||||
app.kubernetes.io/created-by: doris-operator
|
||||
app.kubernetes.io/part-of: doris-operator
|
||||
app.kubernetes.io/managed-by: Helm
|
||||
name: leader-election-rolebinding
|
||||
namespace: doriscluster
|
||||
roleRef:
|
||||
apiGroup: rbac.authorization.k8s.io
|
||||
kind: Role
|
||||
name: leader-election-role
|
||||
subjects:
|
||||
- kind: ServiceAccount
|
||||
name: doris-operator
|
||||
namespace: doriscluster
|
||||
---
|
||||
# Source: doris-operator/templates/deployment.yaml
|
||||
apiVersion: apps/v1
|
||||
kind: Deployment
|
||||
metadata:
|
||||
name: doris-operator
|
||||
namespace: doriscluster
|
||||
labels:
|
||||
control-plane: doris-operator
|
||||
app.kubernetes.io/name: deployment
|
||||
app.kubernetes.io/instance: doris-operator
|
||||
app.kubernetes.io/component: doris-operator
|
||||
app.kubernetes.io/created-by: doris-operator
|
||||
app.kubernetes.io/part-of: doris-operator
|
||||
spec:
|
||||
selector:
|
||||
matchLabels:
|
||||
control-plane: doris-operator
|
||||
replicas: 1
|
||||
template:
|
||||
metadata:
|
||||
annotations:
|
||||
kubectl.kubernetes.io/default-container: doris-operator
|
||||
labels:
|
||||
control-plane: doris-operator
|
||||
spec:
|
||||
# TODO(user): Uncomment the following code to configure the nodeAffinity expression
|
||||
# according to the platforms which are supported by your solution.
|
||||
# It is considered best practice to support multiple architectures. You can
|
||||
# build your manager image using the makefile target docker-buildx.
|
||||
# affinity:
|
||||
# nodeAffinity:
|
||||
# requiredDuringSchedulingIgnoredDuringExecution:
|
||||
# nodeSelectorTerms:
|
||||
# - matchExpressions:
|
||||
# - key: kubernetes.io/arch
|
||||
# operator: In
|
||||
# values:
|
||||
# - amd64
|
||||
# - arm64
|
||||
# - ppc64le
|
||||
# - s390x
|
||||
# - key: kubernetes.io/os
|
||||
# operator: In
|
||||
# values:
|
||||
# - linux
|
||||
securityContext:
|
||||
runAsNonRoot: true
|
||||
# TODO(user): For common cases that do not require escalating privileges
|
||||
# it is recommended to ensure that all your Pods/Containers are restrictive.
|
||||
# More info: https://kubernetes.io/docs/concepts/security/pod-security-standards/#restricted
|
||||
# Please uncomment the following code if your project does NOT have to work on old Kubernetes
|
||||
# versions < 1.19 or on vendors versions which do NOT support this field by default (i.e. Openshift < 4.11 ).
|
||||
# seccompProfile:
|
||||
# type: RuntimeDefault
|
||||
containers:
|
||||
- command:
|
||||
- /dorisoperator
|
||||
args:
|
||||
- --leader-elect
|
||||
image: harbor.cdcyy.com.cn/cmii/doris.k8s-operator:1.3.1
|
||||
name: dorisoperator
|
||||
securityContext:
|
||||
allowPrivilegeEscalation: false
|
||||
capabilities:
|
||||
drop:
|
||||
- "ALL"
|
||||
livenessProbe:
|
||||
httpGet:
|
||||
path: /healthz
|
||||
port: 8081
|
||||
initialDelaySeconds: 15
|
||||
periodSeconds: 20
|
||||
readinessProbe:
|
||||
httpGet:
|
||||
path: /readyz
|
||||
port: 8081
|
||||
initialDelaySeconds: 5
|
||||
periodSeconds: 10
|
||||
# TODO(user): Configure the resources accordingly based on the project requirements.
|
||||
# More info: https://kubernetes.io/docs/concepts/configuration/manage-resources-containers/
|
||||
resources:
|
||||
requests:
|
||||
cpu: 2
|
||||
memory: 4Gi
|
||||
limits:
|
||||
cpu: 2
|
||||
memory: 4Gi
|
||||
serviceAccountName: doris-operator
|
||||
terminationGracePeriodSeconds: 10
|
||||
|
||||
138
agent-common/real_project/cmii-uavms-pyfusion.yaml
Normal file
138
agent-common/real_project/cmii-uavms-pyfusion.yaml
Normal file
@@ -0,0 +1,138 @@
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: pyfusion-configmap
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
config.yaml: |-
|
||||
mqtt:
|
||||
broker: "helm-emqxs"
|
||||
port: 1883
|
||||
username: "cmlc"
|
||||
password: "4YPk*DS%+5"
|
||||
|
||||
topics:
|
||||
mqtt_topic: "bridge/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
sensor_topic: "fromcheck/DP74b4ef9fb4aaf269/device_data/FU_PAM/+"
|
||||
---
|
||||
kind: Deployment
|
||||
apiVersion: apps/v1
|
||||
metadata:
|
||||
name: cmii-uavms-pyfusion
|
||||
namespace: uavcloud-devflight
|
||||
labels:
|
||||
app.kubernetes.io/app-version: 6.2.0
|
||||
app.kubernetes.io/managed-by: octopus-control
|
||||
cmii.app: cmii-uavms-pyfusion
|
||||
cmii.type: backend
|
||||
octopus/control: backend-app-1.0.0
|
||||
spec:
|
||||
replicas: 1
|
||||
selector:
|
||||
matchLabels:
|
||||
cmii.app: cmii-uavms-pyfusion
|
||||
cmii.type: backend
|
||||
template:
|
||||
metadata:
|
||||
creationTimestamp: null
|
||||
labels:
|
||||
cmii.app: cmii-uavms-pyfusion
|
||||
cmii.type: backend
|
||||
spec:
|
||||
volumes:
|
||||
- name: nfs-backend-log-volume
|
||||
persistentVolumeClaim:
|
||||
claimName: nfs-backend-log-pvc
|
||||
- name: pyfusion-conf
|
||||
configMap:
|
||||
name: pyfusion-configmap
|
||||
items:
|
||||
- key: config.yaml
|
||||
path: config.yaml
|
||||
containers:
|
||||
- name: cmii-uavms-pyfusion
|
||||
image: 'harbor.cdcyy.com.cn/cmii/cmii-uavms-pyfusion:6.2.0'
|
||||
ports:
|
||||
- name: pod-port
|
||||
containerPort: 8080
|
||||
protocol: TCP
|
||||
env:
|
||||
- name: VERSION
|
||||
value: 6.2.0
|
||||
- name: NACOS_SYSTEM_CONFIG_NAME
|
||||
value: cmii-backend-system
|
||||
- name: NACOS_SERVICE_CONFIG_NAME
|
||||
value: cmii-uavms-pyfusion
|
||||
- name: NACOS_SERVER_ADDRESS
|
||||
value: 'helm-nacos:8848'
|
||||
- name: K8S_NAMESPACE
|
||||
value: uavcloud-devflight
|
||||
- name: APPLICATION_NAME
|
||||
value: cmii-uavms-pyfusion
|
||||
- name: NACOS_DISCOVERY_PORT
|
||||
value: '8080'
|
||||
- name: BIZ_CONFIG_GROUP
|
||||
value: 6.2.0
|
||||
- name: SYS_CONFIG_GROUP
|
||||
value: 6.2.0
|
||||
- name: IMAGE_VERSION
|
||||
value: 6.2.0
|
||||
resources:
|
||||
limits:
|
||||
cpu: '2'
|
||||
memory: 3Gi
|
||||
requests:
|
||||
cpu: 200m
|
||||
memory: 500Mi
|
||||
volumeMounts:
|
||||
- name: nfs-backend-log-volume
|
||||
mountPath: /cmii/logs
|
||||
subPath: uavcloud-devflight/cmii-uavms-pyfusion
|
||||
- name: pyfusion-conf
|
||||
mountPath: /app/config.yaml
|
||||
subPath: config.yaml
|
||||
terminationMessagePath: /dev/termination-log
|
||||
terminationMessagePolicy: File
|
||||
imagePullPolicy: Always
|
||||
restartPolicy: Always
|
||||
terminationGracePeriodSeconds: 30
|
||||
dnsPolicy: ClusterFirst
|
||||
securityContext: { }
|
||||
imagePullSecrets:
|
||||
- name: harborsecret
|
||||
affinity: { }
|
||||
schedulerName: default-scheduler
|
||||
strategy:
|
||||
type: RollingUpdate
|
||||
rollingUpdate:
|
||||
maxUnavailable: 1
|
||||
maxSurge: 25%
|
||||
revisionHistoryLimit: 10
|
||||
progressDeadlineSeconds: 600
|
||||
---
|
||||
kind: Service
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: cmii-uavms-pyfusion
|
||||
namespace: uavcloud-devflight
|
||||
labels:
|
||||
app.kubernetes.io/app-version: 6.2.0
|
||||
app.kubernetes.io/managed-by: octopus-control
|
||||
cmii.app: cmii-uavms-pyfusion
|
||||
cmii.type: backend
|
||||
octopus/control: backend-app-1.0.0
|
||||
spec:
|
||||
ports:
|
||||
- name: backend-tcp
|
||||
protocol: TCP
|
||||
port: 8080
|
||||
targetPort: 8080
|
||||
selector:
|
||||
cmii.app: cmii-uavms-pyfusion
|
||||
cmii.type: backend
|
||||
type: ClusterIP
|
||||
sessionAffinity: None
|
||||
|
||||
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
File diff suppressed because it is too large
Load Diff
@@ -29,6 +29,7 @@ metadata:
|
||||
rewrite ^(/dispatchh5)$ $1/ redirect;
|
||||
rewrite ^(/emergency)$ $1/ redirect;
|
||||
rewrite ^(/eventsh5)$ $1/ redirect;
|
||||
rewrite ^(/flight-control)$ $1/ redirect;
|
||||
rewrite ^(/hljtt)$ $1/ redirect;
|
||||
rewrite ^(/hyper)$ $1/ redirect;
|
||||
rewrite ^(/jiangsuwenlv)$ $1/ redirect;
|
||||
@@ -143,6 +144,11 @@ spec:
|
||||
backend:
|
||||
serviceName: cmii-uav-platform-eventsh5
|
||||
servicePort: 9528
|
||||
- path: /devflight/flight-control/?(.*)
|
||||
pathType: ImplementationSpecific
|
||||
backend:
|
||||
serviceName: cmii-uav-platform-flight-control
|
||||
servicePort: 9528
|
||||
- path: /devflight/hljtt/?(.*)
|
||||
pathType: ImplementationSpecific
|
||||
backend:
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -2,43 +2,71 @@
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-seniclive
|
||||
name: tenant-prefix-traffic
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "seniclive",
|
||||
ApplicationShortName: "traffic",
|
||||
AppClientId: "APP_Jc8i2wOQ1t73QEJS"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-smsecret
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "smsecret",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-splice
|
||||
name: tenant-prefix-armypeople
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "splice",
|
||||
AppClientId: "APP_zE0M3sTRXrCIJS8Y"
|
||||
ApplicationShortName: "armypeople",
|
||||
AppClientId: "APP_UIegse6Lfou9pO1U"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-security
|
||||
name: tenant-prefix-multiterminal
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "security",
|
||||
AppClientId: "APP_JUSEMc7afyWXxvE7"
|
||||
ApplicationShortName: "multiterminal",
|
||||
AppClientId: "APP_PvdfRRRBPL8xbIwl"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-share
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "share",
|
||||
AppClientId: "APP_4lVSVI0ZGxTssir8"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
@@ -57,6 +85,20 @@ data:
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-hyper
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "hyper",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-blockchain
|
||||
namespace: uavcloud-devflight
|
||||
@@ -71,272 +113,6 @@ data:
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-supervision
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "supervision",
|
||||
AppClientId: "APP_qqSu82THfexI8PLM"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-ai-brain
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "ai-brain",
|
||||
AppClientId: "APP_rafnuCAmBESIVYMH"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-logistics
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "logistics",
|
||||
AppClientId: "APP_PvdfRRRBPL8xbIwl"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-mws
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "mws",
|
||||
AppClientId: "APP_uKniXPELlRERBBwK"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-oms
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "oms",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-eventsh5
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "eventsh5",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-mianyangbackend
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "mianyangbackend",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-dikongzhixingh5
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "dikongzhixingh5",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-renyike
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "renyike",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-base
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "base",
|
||||
AppClientId: "APP_9LY41OaKSqk2btY0"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-emergency
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "emergency",
|
||||
AppClientId: "APP_aGsTAY1uMZrpKdfk"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-open
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "open",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-pilot2cloud
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "pilot2cloud",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-scanner
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "scanner",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-pangu
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-media
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "media",
|
||||
AppClientId: "APP_4AU8lbifESQO4FD6"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-jiangsuwenlv
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "jiangsuwenlv",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-uasms
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "uasms",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-uavmsmanager
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "uavmsmanager",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-secenter
|
||||
namespace: uavcloud-devflight
|
||||
@@ -366,28 +142,14 @@ data:
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-detection
|
||||
name: tenant-prefix-logistics
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "detection",
|
||||
AppClientId: "APP_FDHW2VLVDWPnnOCy"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-multiterminal
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "multiterminal",
|
||||
ApplicationShortName: "logistics",
|
||||
AppClientId: "APP_PvdfRRRBPL8xbIwl"
|
||||
}
|
||||
---
|
||||
@@ -407,90 +169,6 @@ data:
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-hljtt
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "hljtt",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-uas
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "uas",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-smsecret
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "smsecret",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-classification
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "classification",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-smauth
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "smauth",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-supervisionh5
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "supervisionh5",
|
||||
AppClientId: "APP_qqSu82THfexI8PLM"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-securityh5
|
||||
namespace: uavcloud-devflight
|
||||
@@ -520,14 +198,14 @@ data:
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-visualization
|
||||
name: tenant-prefix-uas
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "visualization",
|
||||
ApplicationShortName: "uas",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
@@ -548,55 +226,391 @@ data:
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-armypeople
|
||||
name: tenant-prefix-base
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "armypeople",
|
||||
AppClientId: "APP_UIegse6Lfou9pO1U"
|
||||
ApplicationShortName: "base",
|
||||
AppClientId: "APP_9LY41OaKSqk2btY0"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-share
|
||||
name: tenant-prefix-media
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "share",
|
||||
AppClientId: "APP_4lVSVI0ZGxTssir8"
|
||||
ApplicationShortName: "media",
|
||||
AppClientId: "APP_4AU8lbifESQO4FD6"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-traffic
|
||||
name: tenant-prefix-open
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "traffic",
|
||||
AppClientId: "APP_Jc8i2wOQ1t73QEJS"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-hyper
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "hyper",
|
||||
ApplicationShortName: "open",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-pilot2cloud
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "pilot2cloud",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-awareness
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "awareness",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-pangu
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-oms
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "oms",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-jiangsuwenlv
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "jiangsuwenlv",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-uavmsmanager
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "uavmsmanager",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-renyike
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "renyike",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-ai-brain
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "ai-brain",
|
||||
AppClientId: "APP_rafnuCAmBESIVYMH"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-splice
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "splice",
|
||||
AppClientId: "APP_zE0M3sTRXrCIJS8Y"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-smauth
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "smauth",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-visualization
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "visualization",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-uasms
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "uasms",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-classification
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "classification",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-mianyangbackend
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "mianyangbackend",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-dikongzhixingh5
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "dikongzhixingh5",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-supervision
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "supervision",
|
||||
AppClientId: "APP_qqSu82THfexI8PLM"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-mws
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "mws",
|
||||
AppClientId: "APP_uKniXPELlRERBBwK"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-security
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "security",
|
||||
AppClientId: "APP_JUSEMc7afyWXxvE7"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-scanner
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "scanner",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-eventsh5
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "eventsh5",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-detection
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "detection",
|
||||
AppClientId: "APP_FDHW2VLVDWPnnOCy"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-emergency
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "emergency",
|
||||
AppClientId: "APP_aGsTAY1uMZrpKdfk"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-seniclive
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "seniclive",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-supervisionh5
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "supervisionh5",
|
||||
AppClientId: "APP_qqSu82THfexI8PLM"
|
||||
}
|
||||
---
|
||||
kind: ConfigMap
|
||||
apiVersion: v1
|
||||
metadata:
|
||||
name: tenant-prefix-hljtt
|
||||
namespace: uavcloud-devflight
|
||||
data:
|
||||
ingress-config.js: |-
|
||||
var __GlobalIngressConfig = {
|
||||
TenantEnvironment: "devflight",
|
||||
CloudHOST: "lab.uavcmlc.com",
|
||||
ApplicationShortName: "hljtt",
|
||||
AppClientId: "empty"
|
||||
}
|
||||
|
||||
File diff suppressed because it is too large
Load Diff
@@ -19,6 +19,7 @@ metadata:
|
||||
rewrite ^(/pangu)$ $1/ redirect;
|
||||
rewrite ^(/ai-brain)$ $1/ redirect;
|
||||
rewrite ^(/armypeople)$ $1/ redirect;
|
||||
rewrite ^(/awareness)$ $1/ redirect;
|
||||
rewrite ^(/base)$ $1/ redirect;
|
||||
rewrite ^(/blockchain)$ $1/ redirect;
|
||||
rewrite ^(/classification)$ $1/ redirect;
|
||||
@@ -92,6 +93,11 @@ spec:
|
||||
backend:
|
||||
serviceName: cmii-uav-platform-armypeople
|
||||
servicePort: 9528
|
||||
- path: /devflight/awareness/?(.*)
|
||||
pathType: ImplementationSpecific
|
||||
backend:
|
||||
serviceName: cmii-uav-platform-awareness
|
||||
servicePort: 9528
|
||||
- path: /devflight/base/?(.*)
|
||||
pathType: ImplementationSpecific
|
||||
backend:
|
||||
|
||||
@@ -52,6 +52,7 @@ var CmiiBackendAppMap = map[string]string{
|
||||
"cmii-sky-converge": "5.7.0",
|
||||
"cmii-uav-sec-awareness": "5.7.0",
|
||||
"cmii-uav-security-trace": "5.7.0",
|
||||
"cmii-uavms-pyfusion": "5.7.0",
|
||||
}
|
||||
|
||||
var CmiiFrontendAppMap = map[string]string{
|
||||
@@ -88,6 +89,7 @@ var CmiiFrontendAppMap = map[string]string{
|
||||
"cmii-uav-platform-dispatchh5": "5.2.0",
|
||||
"cmii-uavms-platform-manager": "5.2.0",
|
||||
"cmii-uav-platform-awareness": "5.2.0",
|
||||
"cmii-uav-platform-flight-control": "5.2.0",
|
||||
}
|
||||
|
||||
var IgnoreCmiiBackendAppName = map[string]string{
|
||||
@@ -175,6 +177,10 @@ var MiddlewareAmd64 = []string{
|
||||
"docker.107421.xyz/jerrychina2020/rke-tools:v0.175-linux",
|
||||
"docker.107421.xyz/jerrychina2020/rke-tools:v0.175",
|
||||
"docker.107421.xyz/library/busybox:latest",
|
||||
"harbor.cdcyy.com.cn/cmii/doris.be-ubuntu:2.1.6",
|
||||
"harbor.cdcyy.com.cn/cmii/doris.be-ubuntu:2.1.6",
|
||||
"harbor.cdcyy.com.cn/cmii/doris.k8s-operator:1.3.1",
|
||||
"harbor.cdcyy.com.cn/cmii/alpine:latest",
|
||||
}
|
||||
|
||||
var Rancher1204Amd64 = []string{
|
||||
|
||||
@@ -45,6 +45,7 @@ var FrontendShortNameMaps = map[string]string{
|
||||
"cmii-uavms-platform-manager": "uavmsmanager",
|
||||
"cmii-uav-platform-renyike": "renyike",
|
||||
"cmii-uav-platform-awareness": "awareness",
|
||||
"cmii-uav-platform-flight-control": "flight-control",
|
||||
}
|
||||
|
||||
var FrontendClientIdMaps = map[string]string{
|
||||
@@ -92,4 +93,5 @@ var FrontendClientIdMaps = map[string]string{
|
||||
"cmii-uavms-platform-manager": "empty",
|
||||
"cmii-uav-platform-renyike": "empty",
|
||||
"cmii-uav-platform-awareness": "empty",
|
||||
"cmii-uav-platform-flight-control": "empty",
|
||||
}
|
||||
|
||||
@@ -10,57 +10,57 @@ import (
|
||||
*/
|
||||
|
||||
func TestFetchDependencyRepos_Middle(t *testing.T) {
|
||||
|
||||
errorPullImageList, errorGzipImageList, realCmiiImageName, allGzipFileNameList := C_DownloadCompressUploadDependency(true, false, false)
|
||||
|
||||
|
||||
errorPullImageList, errorGzipImageList, realCmiiImageName, allGzipFileNameList := C_DownloadCompressUploadDependency(true, true, false)
|
||||
|
||||
utils.BeautifulPrintListWithTitle(errorPullImageList, "errorPullImageList")
|
||||
utils.BeautifulPrintListWithTitle(errorGzipImageList, "errorGzipImageList")
|
||||
utils.BeautifulPrintListWithTitle(realCmiiImageName, "realCmiiImageName")
|
||||
utils.BeautifulPrintListWithTitle(allGzipFileNameList, "allGzipFileNameList")
|
||||
|
||||
|
||||
}
|
||||
|
||||
func TestFetchDependencyRepos_RKE(t *testing.T) {
|
||||
|
||||
|
||||
errorPullImageList, errorGzipImageList, realCmiiImageName, allGzipFileNameList := C_DownloadCompressUploadDependency(true, false, true)
|
||||
|
||||
|
||||
utils.BeautifulPrintListWithTitle(errorPullImageList, "errorPullImageList")
|
||||
utils.BeautifulPrintListWithTitle(errorGzipImageList, "errorGzipImageList")
|
||||
utils.BeautifulPrintListWithTitle(realCmiiImageName, "realCmiiImageName")
|
||||
utils.BeautifulPrintListWithTitle(allGzipFileNameList, "allGzipFileNameList")
|
||||
|
||||
|
||||
}
|
||||
|
||||
func TestLoadSplitGzipImageToTargetHarbor(t *testing.T) {
|
||||
errorLoadImageNameList, errorPushImageNameList := LoadSplitCmiiGzipImageToTargetHarbor("xmyd", DirectPushDeployHarborHost)
|
||||
|
||||
|
||||
utils.BeautifulPrintListWithTitle(errorLoadImageNameList, "errorLoadImageNameList")
|
||||
utils.BeautifulPrintListWithTitle(errorPushImageNameList, "errorPushImageNameList")
|
||||
}
|
||||
|
||||
func TestLoadSplitDepGzipImageToTargetHarbor(t *testing.T) {
|
||||
errorLoadImageNameList, errorPushImageNameList := LoadSplitDepGzipImageToTargetHarbor(DirectPushDeployHarborHost)
|
||||
|
||||
|
||||
utils.BeautifulPrintListWithTitle(errorLoadImageNameList, "errorLoadImageNameList")
|
||||
utils.BeautifulPrintListWithTitle(errorPushImageNameList, "errorPushImageNameList")
|
||||
}
|
||||
|
||||
func TestPullFromEntityAndSyncConditionally(t *testing.T) {
|
||||
|
||||
|
||||
// 下载镜像的核心函数
|
||||
sync := ImageSyncEntity{
|
||||
DownloadCondition: &DownloadEntity{
|
||||
ShouldDownloadImage: true,
|
||||
ProjectName: "6.2.0_demo",
|
||||
ProjectVersion: "6.2.0-demo",
|
||||
CmiiNameTagList: []string{
|
||||
CmiiNameTagList: []string{
|
||||
//"cmii-uav-mqtthandler:5.4.0-bjdyt-052102",
|
||||
},
|
||||
FullNameImageList: []string{},
|
||||
FullNameImageList: []string{},
|
||||
DownloadAuthUserName: "",
|
||||
DownloadAuthPassword: "",
|
||||
},
|
||||
|
||||
|
||||
CompressCondition: &CompressEntity{
|
||||
ShouldCompressImageToGzip: true,
|
||||
ShouldGzipSplit: true,
|
||||
@@ -72,12 +72,12 @@ func TestPullFromEntityAndSyncConditionally(t *testing.T) {
|
||||
DirectHarborHost: "harbor.wdd.io:8033",
|
||||
ShouldDirectPushToHarbor: false,
|
||||
}
|
||||
|
||||
|
||||
// 调用函数并获取结果。这里需要根据你的实际需求来验证返回的结果是否符合预期。
|
||||
result := sync.PullFromEntityAndSyncConditionally()
|
||||
|
||||
|
||||
utils.BeautifulPrint(result)
|
||||
|
||||
|
||||
// 添加断言以检查函数的输出，例如：
|
||||
// ...其他验证逻辑...
|
||||
}
|
||||
@@ -89,7 +89,7 @@ func TestPullFromEntityAndSyncConditionally_ChongQingErJiPingTai(t *testing.T) {
|
||||
ShouldDownloadImage: true,
|
||||
ProjectName: "cqejpt",
|
||||
ProjectVersion: "",
|
||||
CmiiNameTagList: []string{
|
||||
CmiiNameTagList: []string{
|
||||
//"cmii-uav-mqtthandler:5.4.0-bjdyt-052102",
|
||||
},
|
||||
FullNameImageList: []string{
|
||||
@@ -158,7 +158,7 @@ func TestPullFromEntityAndSyncConditionally_ChongQingErJiPingTai(t *testing.T) {
|
||||
DownloadAuthUserName: "",
|
||||
DownloadAuthPassword: "",
|
||||
},
|
||||
|
||||
|
||||
CompressCondition: &CompressEntity{
|
||||
ShouldCompressImageToGzip: false,
|
||||
ShouldGzipSplit: true,
|
||||
@@ -170,43 +170,43 @@ func TestPullFromEntityAndSyncConditionally_ChongQingErJiPingTai(t *testing.T) {
|
||||
DirectHarborHost: "chongqingshcis-a189ec98.ecis.chongqing-1.cmecloud.cn",
|
||||
ShouldDirectPushToHarbor: true,
|
||||
}
|
||||
|
||||
|
||||
// 调用函数并获取结果。这里需要根据你的实际需求来验证返回的结果是否符合预期。
|
||||
result := sync.PullFromEntityAndSyncConditionally()
|
||||
|
||||
|
||||
utils.BeautifulPrint(result)
|
||||
|
||||
|
||||
// 添加断言以检查函数的输出，例如：
|
||||
// ...其他验证逻辑...
|
||||
}
|
||||
|
||||
func TestDownloadLoadTagUpload(t *testing.T) {
|
||||
|
||||
|
||||
localGzipFileList := []string{
|
||||
"/root/octopus_image/middle",
|
||||
"/root/octopus_image/rke",
|
||||
"/root/octopus_image/xjyd",
|
||||
}
|
||||
|
||||
|
||||
for _, s := range localGzipFileList {
|
||||
log.InfoF("start to sync => %s", s)
|
||||
|
||||
|
||||
targetImageFullNameList := A_DownloadLoadTagUpload(false, "", "", s, "172.28.0.251:8033")
|
||||
|
||||
|
||||
utils.BeautifulPrintListWithTitle(targetImageFullNameList, "targetImageFullNameList")
|
||||
|
||||
|
||||
}
|
||||
|
||||
|
||||
}
|
||||
|
||||
func TestConcatAndUniformCmiiImage(t *testing.T) {
|
||||
// 创建一个模拟的fullImageList和cmiiImageList，用于测试函数的行为。这里需要根据你的实际需求来设置mock数据和预期结果。
|
||||
fullImageList := []string{"image3", "image4"}
|
||||
cmiiImageList := []string{"image1", "image2"}
|
||||
|
||||
|
||||
// 调用函数并获取结果。这里需要根据你的实际需求来验证返回的结果是否符合预期。
|
||||
result := concatAndUniformCmiiImage(fullImageList, cmiiImageList)
|
||||
|
||||
|
||||
// 添加断言以检查函数的输出，例如：
|
||||
expectedResult := []string{"image3", "image4", image2.CmiiHarborPrefix + "image1", image2.CmiiHarborPrefix + "image2"}
|
||||
if len(result) != len(expectedResult) {
|
||||
@@ -228,9 +228,9 @@ func TestImageSyncEntity_PullFromEntityAndSyncConditionally(t *testing.T) {
|
||||
},
|
||||
DirectHarborHost: "36.134.71.138",
|
||||
}
|
||||
|
||||
|
||||
imageSyncResult := imageSyncEntity.PullFromEntityAndSyncConditionally()
|
||||
|
||||
|
||||
utils.BeautifulPrint(imageSyncResult)
|
||||
|
||||
|
||||
}
|
||||
|
||||
@@ -154,16 +154,17 @@ func judgeCanConnectInternet() int {
|
||||
// GetPublicInfo 获取服务器的公网信息
|
||||
func (p PublicInfo) GetPublicInfo() PublicInfo {
|
||||
|
||||
if CanConnectInternet() == InternetBaseLine {
|
||||
// 无法联网, 假信息
|
||||
// 无法联网, 假信息
|
||||
fakePublicInfo := PublicInfo{
|
||||
IPv4: "1.1.1.1",
|
||||
IPv6: "2400::1",
|
||||
Country: "CN",
|
||||
City: "Shanghai",
|
||||
ASN: "Wdd Inc",
|
||||
Timezone: "Asia/Shanghai",
|
||||
}
|
||||
|
||||
fakePublicInfo := PublicInfo{
|
||||
IPv4: "1.1.1.1",
|
||||
IPv6: "2400::1",
|
||||
Country: "CN",
|
||||
City: "Shanghai",
|
||||
ASN: "Wdd Inc",
|
||||
}
|
||||
if CanConnectInternet() == InternetBaseLine {
|
||||
|
||||
// 持久化保存
|
||||
ConfigCache.Agent.Network.Public = fakePublicInfo
|
||||
@@ -181,6 +182,8 @@ func (p PublicInfo) GetPublicInfo() PublicInfo {
|
||||
req, err := http.NewRequest("GET", "https://ipinfo.io", nil)
|
||||
if err != nil {
|
||||
log.Error("创建请求失败: %v", err)
|
||||
return fakePublicInfo
|
||||
|
||||
}
|
||||
|
||||
// 设置请求头
|
||||
@@ -190,7 +193,8 @@ func (p PublicInfo) GetPublicInfo() PublicInfo {
|
||||
// 发送请求
|
||||
resp, err := client.Do(req)
|
||||
if err != nil {
|
||||
log.Error("请求PublicInfo失败: %v", err)
|
||||
log.Error("请求PublicInfo失败: %s", err.Error())
|
||||
return fakePublicInfo
|
||||
}
|
||||
defer resp.Body.Close()
|
||||
|
||||
|
||||
@@ -3,12 +3,12 @@
|
||||
rm -f /usr/local/bin/agent-wdd
|
||||
rm -f /usr/local/bin/test-shell.sh
|
||||
|
||||
wget https://pan.107421.xyz/d/oracle-seoul-2/agent-wdd_linux_amd64 -O /usr/local/bin/agent-wdd
|
||||
wget https://pan.107421.xyz/d/oracle-seoul-2/agent-wdd_linux_amd64 -qO /usr/local/bin/agent-wdd
|
||||
|
||||
chmod +x /usr/local/bin/agent-wdd
|
||||
|
||||
|
||||
wget https://pan.107421.xyz/d/oracle-seoul-2/test-shell.sh -O /usr/local/bin/test-shell.sh
|
||||
wget https://pan.107421.xyz/d/oracle-seoul-2/test-shell.sh -qO /usr/local/bin/test-shell.sh
|
||||
|
||||
chmod +x /usr/local/bin/test-shell.sh
|
||||
|
||||
|
||||
Reference in New Issue
Block a user