EdgeX Foundry - 导出数据到 HTTP 服务

文章目录

shell 复制代码
# EdgeX Foundry

https://iothub.org.cn/docs/edgex/
https://iothub.org.cn/docs/edgex/device/export-http/

一、概述

1.安装说明

安装方式:

  • 部署虚拟设备服务 ds-virtual 模拟设备
  • EdgeX 导出数据到 HTTP 服务
  • 使用 Spring Boot 开发 HTTP 服务,接收导出数据

2.HTTP 服务

Spring Boot 程序

java 复制代码
@RestController
public class EdgexController {

    @RequestMapping("/income")
    public void edgexCallback(@RequestBody HashMap hashMap) {

        System.out.println(hashMap);

    }
}
shell 复制代码
# 导出数据接口
http://192.168.3.4:8888/income

二、安装部署

1.docker-comepse

shell 复制代码
# 1.克隆 edgex-compose
$ git clone git@github.com:edgexfoundry/edgex-compose.git 
$ git clone https://github.com/edgexfoundry/edgex-compose.git
$ cd edgex-compose 
$ git checkout v3.1


# 2.生成 docker-compose.yml 文件(注意这包括 mqtt-broker)
$ cd compose-builder
$ make gen ds-virtual asc-http no-secty


# 3.检查生成的文件
$ ls | grep 'docker-compose.yml'
docker-compose.yml
shell 复制代码
[root@edgex mqtt-device]# git clone https://github.com/edgexfoundry/edgex-compose.git
Cloning into 'edgex-compose'...
remote: Enumerating objects: 4779, done.
remote: Counting objects: 100% (2916/2916), done.
remote: Compressing objects: 100% (173/173), done.
remote: Total 4779 (delta 2831), reused 2804 (delta 2741), pack-reused 1863
Receiving objects: 100% (4779/4779), 1.22 MiB | 450.00 KiB/s, done.
Resolving deltas: 100% (4042/4042), done.


[root@edgex mqtt-device]# ll
total 4
drwxr-xr-x. 6 root root 4096 Feb  1 04:10 edgex-compose


[root@edgex mqtt-device]# cd edgex-compose/
[root@edgex edgex-compose]# git checkout v3.1
Note: checking out 'v3.1'.

You are in 'detached HEAD' state. You can look around, make experimental
changes and commit them, and you can discard any commits you make in this
state without impacting any branches by performing another checkout.

If you want to create a new branch to retain commits you create, you may
do so (now or later) by using -b with the checkout command again. Example:

  git checkout -b new_branch_name

HEAD is now at 488a3fe... Merge pull request #424 from lenny-intel/device-mqtt-secure-mode-napa


[root@edgex edgex-compose]# cd compose-builder/

[root@edgex compose-builder]# make gen ds-virtual asc-http no-secty
echo MQTT_VERBOSE=
MQTT_VERBOSE=
docker compose  -p edgex -f docker-compose-base.yml -f add-device-virtual.yml -f add-asc-http-export.yml convert > docker-compose.yml
rm -rf ./gen_ext_compose


[root@edgex compose-builder]# ls | grep 'docker-compose.yml'
docker-compose.yml
shell 复制代码
[root@edgex compose-builder]# vim docker-compose.yml 

name: edgex
services:
  app-http-export:
    container_name: edgex-app-http-export
    depends_on:
      consul:
        condition: service_started
        required: true
      core-data:
        condition: service_started
        required: true
    environment:
      EDGEX_PROFILE: http-export
      EDGEX_SECURITY_SECRET_STORE: "false"
      SERVICE_HOST: edgex-app-http-export
      WRITABLE_LOGLEVEL: INFO
      WRITABLE_PIPELINE_FUNCTIONS_HTTPEXPORT_PARAMETERS_URL: http://EXPORT_HOST_PLACE_HOLDER:7770
    hostname: edgex-app-http-export
    image: edgexfoundry/app-service-configurable:3.1.0
    networks:
      edgex-network: null
    ports:
      - mode: ingress
        host_ip: 127.0.0.1
        target: 59704
        published: "59704"
        protocol: tcp
    read_only: true
    restart: always
    security_opt:
      - no-new-privileges:true
    user: 2002:2001
    volumes:
      - type: bind
        source: /etc/localtime
        target: /etc/localtime
        read_only: true
        bind:
          create_host_path: true

......

2.修改配置

shell 复制代码
# 修改配置
注意WRITABLE_PIPELINE_FUNCTIONS_HTTPEXPORT_PARAMETERS_URL: http://192.168.10.131:8080/income这里配置了我们的导出端点,即http://192.168.10.131:8080/income,这里是我自定义的一个springboot应用


WRITABLE_PIPELINE_FUNCTIONS_HTTPEXPORT_PARAMETERS_URL: http://192.168.3.4:8888/income


[root@edgex compose-builder]# vim docker-compose.yml 

name: edgex
services:
  app-http-export:
    container_name: edgex-app-http-export
......

    environment:
      EDGEX_PROFILE: http-export
      EDGEX_SECURITY_SECRET_STORE: "false"
      SERVICE_HOST: edgex-app-http-export
      WRITABLE_LOGLEVEL: INFO
      WRITABLE_PIPELINE_FUNCTIONS_HTTPEXPORT_PARAMETERS_URL: http://192.168.3.4:8888/income

3.启动 EdgeX Foundry

使用以下命令部署 EdgeX:

shell 复制代码
$ cd edgex-compose/compose-builder
$ docker compose pull
$ docker compose up -d


# 修改配置文件
替换IP地址 127.0.0.1 为 0.0.0.0


# 修改 http接口
WRITABLE_PIPELINE_FUNCTIONS_HTTPEXPORT_PARAMETERS_URL: http://192.168.3.4:8888/income
shell 复制代码
# docker compose pull

# docker compose up -d


4.访问 UI

4.1. consul
shell 复制代码
# 访问地址
http://192.168.202.233:8500
4.2. EdgeX Console
shell 复制代码
# 访问地址
http://192.168.202.233:4000/



5.测试

shell 复制代码
{
	profileName = Random - Boolean - Device, apiVersion = v3, readings = [{
		id = 638 d5e03 - 5 f65 - 4007 - 95 f6 - 856986e cf3b0,
		origin = 1708432044141665586,
		deviceName = Random - Boolean - Device,
		resourceName = Bool,
		profileName = Random - Boolean - Device,
		valueType = Bool,
		value = true
	}], origin = 1708432044141665586, id = 5 c05ac22 - 59e6 - 41e e - 8 f9b - c3973b0e17d6, sourceName = Bool, deviceName = Random - Boolean - Device
} 


{
	profileName = Random - Float - Device, apiVersion = v3, readings = [{
		id = 33e07 d1d - dc31 - 4e5 f - b4ca - 4 d2505da81cf,
		origin = 1708432044120816042,
		deviceName = Random - Float - Device,
		resourceName = Float64,
		profileName = Random - Float - Device,
		valueType = Float64,
		value = -1.669694e+308
	}], origin = 1708432044120816042, id = bc40b33a - 9270 - 40 a2 - 90 cb - 510995 d92a02, sourceName = Float64, deviceName = Random - Float - Device
} 


{
	profileName = Random - Integer - Device, apiVersion = v3, readings = [{
		id = 450 d2e8d - 057 d - 4e85 - a09e - d9165d97473c,
		origin = 1708432044127607940,
		deviceName = Random - Integer - Device,
		resourceName = Int8,
		profileName = Random - Integer - Device,
		valueType = Int8,
		value = 93
	}], origin = 1708432044127607940, id = 292 b0bd7 - 8e a1 - 4 aa4 - a903 - 462 df4361169, sourceName = Int8, deviceName = Random - Integer - Device
} 


{
	profileName = Random - UnsignedInteger - Device, apiVersion = v3, readings = [{
		id = 403e305 c - 300 d - 468 a - a057 - edc97a0b3cdf,
		origin = 1708432044131510252,
		deviceName = Random - UnsignedInteger - Device,
		resourceName = Uint8,
		profileName = Random - UnsignedInteger - Device,
		valueType = Uint8,
		value = 223
	}], origin = 1708432044131510252, id = f8ed3c1b - cdb6 - 4189 - bf76 - 3 b3d209bffd0, sourceName = Uint8, deviceName = Random - UnsignedInteger - Device
} 

......
shell 复制代码
# EdgeX Foundry

https://iothub.org.cn/docs/edgex/
https://iothub.org.cn/docs/edgex/device/export-http/
相关推荐
AI攻城狮2 小时前
OpenClaw 里 TAVILY_API_KEY 明明写在 ~/.bashrc,为什么还是失效?一次完整排查与修复
人工智能·云原生·aigc
阿里云云原生21 小时前
零配置部署顶级模型!函数计算一键解锁 Qwen3.5
云原生
AI攻城狮1 天前
Kimi Bot + OpenClaw 完整配置指南:5 步实现本地 AI Agent 集成
人工智能·云原生·aigc
AI攻城狮2 天前
RAG Chunking 为什么这么难?5 大挑战 + 最佳实践指南
人工智能·云原生·aigc
哈里谢顿4 天前
Kubernetes Operator核心概念、实现原理和实战开发
云原生
阿里云云原生4 天前
你的 OpenClaw 真的在受控运行吗?
云原生
阿里云云原生4 天前
5 分钟零代码改造,让 Go 应用自动获得全链路可观测能力
云原生·go
Shanyoufusu124 天前
RKE2 单节点集群安装 Rancher+ 私有镜像仓库搭建 完整教程
云原生
阿里云云原生4 天前
Dify 官方上架 Higress 插件,轻松接入 AI 网关访问模型服务
云原生
AI攻城狮4 天前
OpenClaw Session 管理完全指南:Context 压缩、重置与持久化
人工智能·云原生·aigc