添加离线版本

3 years ago · 99dc1ce32a
53 changed files with 36894 additions and 0 deletions
--- a/本地化下沉-打包/offline离线安装脚本/appImage_tars/readme.txt
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_tars/readme.txt
@ -0,0 +1,2 @@
+安心云 应用 镜像 12个
+make-app-tar.sh  脚本执行 后存入当前文件夹
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-dac.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-dac.yaml
@ -0,0 +1,98 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-dac-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-iota-dac-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-iota-dac-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-iota-dac-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-iota-dac            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/iota/dac:28.21-04-14     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "IOTA_DAC_RUN_MODE"          #变量的名字  
+                  value: "single"        #变量的值 
+                - name: "IOTA_KAFKA_BROKERS"           
+                  value: "kafka-service:9092"        
+                - name: "IOTA_MQTT"           
+                  value: "emqx-service:1883" 
+                - name: "IOTA_REDIS"           
+                  value: "redis-service:6379"
+                - name: "IOTA_POSTGRES"           
+                  value: "postgres://postgres:example@pg-service:5432/iota?sslmode=disable"
+                - name: "IOTA_ALERT_MODE"           
+                  value: "simple"                  
+            ports:
+                - containerPort: 5000     #定义容器的端口
+                  name: tcp-5000
+                - containerPort: 40001     #定义容器的端口
+                  name: tcp-40001
+                - containerPort: 40002     #定义容器的端口
+                  name: tcp-40002
+                - containerPort: 40003     #定义容器的端口
+                  name: tcp-40003
+                - containerPort: 40004     #定义容器的端口
+                  name: tcp-40004
+                - containerPort: 40005     #定义容器的端口
+                  name: tcp-40005  
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-hosts         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-hosts
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts                       
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-dac-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: iota-dac-s
+spec:
+    selector:
+        app: yaml-iota-dac-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 5000  # 集群内访问
+        targetPort: 5000 #集群内 容器内端口
+        name: tcp-5000
+        #nodePort: 30500  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 40001  # 集群内访问
+        targetPort: 40001 #集群内 容器内端口
+        name: tcp-40001
+        nodePort: 30401  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 40002  # 集群内访问
+        targetPort: 40002 #集群内 容器内端口
+        name: tcp-40002
+        nodePort: 30402  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 40003  # 集群内访问
+        targetPort: 40003 #集群内 容器内端口
+        name: tcp-40003
+        nodePort: 30403  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 40004  # 集群内访问
+        targetPort: 40004 #集群内 容器内端口
+        name: tcp-40004
+        nodePort: 30404  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 40005  # 集群内访问
+        targetPort: 40005 #集群内 容器内端口
+        name: tcp-40005
+        nodePort: 30405  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-prometheus.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-prometheus.yaml
@ -0,0 +1,43 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-prometheus-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-iota-prometheus-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-iota-prometheus-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-iota-prometheus-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-iota-prometheus            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/iota/prometheus:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            ports:
+                - containerPort: 19090     #定义容器的端口
+                  name: tcp-19090
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-prometheus-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: iota-prometheus-s
+spec:
+    selector:
+        app: yaml-iota-prometheus-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 19090  # 集群内访问
+        targetPort: 19090 #集群内 容器内端口
+        name: tcp-19090
+        nodePort: 30990  #集群外访问 范围30000-32767
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-webapi.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-webapi.yaml
@ -0,0 +1,67 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-webapi-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-iota-webapi-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-iota-webapi-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-iota-webapi-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-iota-webapi            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/iota/web-console-api:50.21-05-24     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "IOTA_SERVER_PORT"          #变量的名字  
+                  value: "9080"        #变量的值 
+                - name: "IOTA_KAFKA_BROKERS"           
+                  value: "kafka-service:9092" 
+                - name: "IOTA_ZOOKEEPER_NODES"           
+                  value: "kafka-service:2182"                   
+                - name: "IOTA_MQTT_BROKERS"           
+                  value: "emqx-service:1883" 
+                - name: "IOTA_REDIS_SERVER_HOST"           
+                  value: "redis-service"
+                - name: "IOTA_POSTGRES"           
+                  value: "postgres://postgres:example@pg-service:5432/iota"  
+                - name: "IOTA_ATTACHMENT_IN_CLOUD"           
+                  value: "true"     
+                - name: "IOTA_PROMETHEUS_SERVER"           
+                  value: "iota-prometheus-service:19090"                  
+            ports:
+                - containerPort: 9080     #定义容器的端口
+                  name: tcp-9080
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-hosts         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-hosts
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-webapi-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: iota-webapi-s
+spec:
+    selector:
+        app: yaml-iota-webapi-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 9080  # 集群内访问
+        targetPort: 9080 #集群内 容器内端口
+        name: tcp-9080
+        #nodePort: 30980  #集群外访问 范围30000-32767
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-z-proxy.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-iota-z-proxy.yaml
@ -0,0 +1,52 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-proxy-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-iota-proxy-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-iota-proxy-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-iota-proxy-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-iota-proxy            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/anxin/iota-proxy:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "ANXINCLOUD_IOTA_API"          #变量的名字  
+                  value: "http://iota-webapi-service:9080"        #变量的值 
+                - name: "ANXINCLOUD_IOTA_AUTH"           
+                  value: "MGU0MmFmZTZlNzEwNTVjZWEyNWZjMDA4M2Q4MTY0MjZjNTg2N2I4OTozNWUwYWRmMGEzMDM0NWEzMTA0YTA2YmI4YTY0ODQwMGQ5NGE5YzIw" 
+                - name: "ANXINCLOUD_REDIS_HOST"           
+                  value: "redis-service"                   
+                - name: "ANXINCLOUD_REDIS_PORT"           
+                  value: "6379"
+            ports:
+                - containerPort: 8080     #定义容器的端口
+                  name: tcp-8080
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: iota-proxy-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: iota-proxy-s
+spec:
+    selector:
+        app: yaml-iota-proxy-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 8091  # 集群内访问
+        targetPort: 8080 #集群内 容器内端口
+        name: tcp-8080
+        nodePort: 30891  #集群外访问 范围30000-32767
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-rpc.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/1-iota/local-rpc.yaml
@ -0,0 +1,43 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: rpc-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-rpc-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-rpc-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-rpc-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-rpc            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/anxinyun/py.rpc:dragon.32     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            ports:
+                - containerPort: 5000     #定义容器的端口
+                  name: tcp-5000
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: rpc-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: rpc-s
+spec:
+    selector:
+        app: yaml-rpc-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 25000  # 集群内访问
+        targetPort: 5000 #集群内 容器内端口
+        name: tcp-5000
+        #nodePort: 30500  #集群外访问 范围30000-32767
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/2-anxin_config/local-config-center.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/2-anxin_config/local-config-center.yaml
@ -0,0 +1,49 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: config-center-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-config-center-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-config-center-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-config-center-d
+    spec:
+        containers:               #定义容器信息  把数据库里传感器配置，写入redis
+          - name: yaml-config-center            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/local/config_center:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "CLUSTER"          #变量的名字  
+                  value: "ANXINCLOUD"        #变量的值 
+                - name: "ANXINCLOUD_API"           
+                  value: "webapi-service:8092"        ##注意 这里要先启动 anxin webapi
+            command: ['java','-jar','/app/config_center.jar','db.url=jdbc:postgresql://pg-service:5432/axy','db.user=postgres','db.pwd=example','iota.api.proxy=http://iota-proxy-service:8091/_iota_api','redis.host=redis-service','redis.port=6379' ,'kafka.brokers=kafka-service:9092']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-config-centerc         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-config-centerc
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+
+---
+#ET不对外提供服务 不启用service
+# apiVersion: v1     #指定API版本标签
+# kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+# metadata:               #定义资源的元数据信息
+  # name: config-center-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  # namespace: lk   #默认default
+  # labels:               #定义资源标签
+    # app: config-center-s
+# spec:
+    # selector:
+        # app: yaml-config-center-d  #deployment标签
+    # type: ClusterIP
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/3-et/local-et.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/3-et/local-et.yaml
@ -0,0 +1,45 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: et-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-et-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-et-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-et-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-et            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/local/et:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            command: ['java','-cp','et.jar','et.main.singleton','db.url=jdbc:postgresql://pg-service:5432/axy','db.user=postgres','db.pwd=example','iota.api.proxy="iota-proxy-service:8091/_iota_api"','redis.host=redis-service','redis.port=6379' ,'kafka.brokers=kafka-service:9092','es.cluster.nodes=es-service:9200']
+            #command: ['java -cp et.jar et.main.singleton db.url=jdbc:postgresql://pg-service:5432/axy db.user=postgres db.pwd=example iota.api.proxy="iota-proxy-service:8091/_iota_api" redis.host=redis-service redis.port=6379 kafka.brokers=kafka-service:9092 es.cluster.nodes=es-service:9200']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-etc         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-etc
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+
+---
+#ET不对外提供服务 不启用service
+# apiVersion: v1     #指定API版本标签
+# kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+# metadata:               #定义资源的元数据信息
+  # name: et-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  # namespace: lk   #默认default
+  # labels:               #定义资源标签
+    # app: et-s
+# spec:
+    # selector:
+        # app: yaml-et-d  #deployment标签
+    # type: ClusterIP
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/4-report/local-report.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/4-report/local-report.yaml
@ -0,0 +1,49 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: report-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-report-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-report-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-report-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-report            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/local/report-client:12.21-10-28     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            command: ['java','-cp','/app/report.client.jar','report.client.main','db.url=jdbc:postgresql://pg-service:5432/axy','db.user=postgres','db.pwd=example','redis.host=redis-service','redis.port=6379' ,'kafka.brokers=kafka-service:9092','es.cluster.nodes=es-service:9200','thingId_url=http://iota-webapi-service:9080/_iota_api/things/','local.attachment.baseurl=http://webapi-service:8092/attachments']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-hosts        #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+              # - name: vol-report        #挂载设备的名字，与volumes[*].name 需要对应
+                # mountPath: /app     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-hosts
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+          # - name:  vol-report
+            # hostPath:
+                # path:   /home/anxin/static/report # 宿主机目录   覆盖容器内目录  间接统一hosts
+
+---
+#ET不对外提供服务 不启用service
+# apiVersion: v1     #指定API版本标签
+# kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+# metadata:               #定义资源的元数据信息
+  # name: report-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  # namespace: lk   #默认default
+  # labels:               #定义资源标签
+    # app: report-s
+# spec:
+    # selector:
+        # app: yaml-report-d  #deployment标签
+    # type: ClusterIP
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/5-alarm/local-alarm.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/5-alarm/local-alarm.yaml
@ -0,0 +1,44 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: alarm-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-alarm-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-alarm-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-alarm-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-alarm            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/anxinyun/smislocal-alarm:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            command: ['java','-jar','alarm.jar','db.url=jdbc:postgresql://pg-service:5432/axy','db.user=postgres','db.pwd=example','redis.host=redis-service','redis.port=6379' ,'kafka.brokers=kafka-service:9092','es.cluster.nodes=es-service:9200']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-alarm         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-alarm
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+
+---
+#ET不对外提供服务 不启用service
+# apiVersion: v1     #指定API版本标签
+# kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+# metadata:               #定义资源的元数据信息
+  # name: alarm-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  # namespace: lk   #默认default
+  # labels:               #定义资源标签
+    # app: alarm-s
+# spec:
+    # selector:
+        # app: yaml-alarm-d  #deployment标签
+    # type: ClusterIP
+        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webapi_webconsole/local-webapi.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webapi_webconsole/local-webapi.yaml
@ -0,0 +1,77 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: webapi-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-webapi-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-webapi-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-webapi-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-webapi            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/anxinyun/api:137.21-08-17
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "ANXINCLOUD_PROXY_IOTA"          #变量的名字  
+                  value: "iota-proxy-service:8091"        #变量的值 
+                - name: "ANXINCLOUD_HDFS_HTTP"           
+                  value: "http://10.8.30.155:50070"                   
+                - name: "ANXINCLOUD_KAFKA_BROKERS"           
+                  value: "kafka-service:9092"        
+                - name: "ANXINCLOUD_ES_NODES_REST"           
+                  value: "es-service:9200"
+                - name: "ANXINCLOUD_DB"           
+                  value: "postgres://postgres:example@pg-service:5432/axy"
+                - name: "ANXINCLOUD_FC_UPLOAD_PATH"           
+                  value: "upload"
+                - name: "ANXINCLOUD_FC_LOCAL_ROOT_PATH"           
+                  value: "static"
+                - name: "ANXINCLOUD_FC_LOCAL_CHILD_PATH"           
+                  value: "child"
+                - name: "ANXINCLOUD_PYRPC_URL"           
+                  value: "rpc-service:25000"
+                - name: "PLATFORM_NAME"           
+                  value: "native"
+            ports:
+                - containerPort: 8080     #定义容器的端口
+                  name: tcp-8080
+            command: ['node','server.js','--redis','redis-service:6379']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-hosts         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+              - name: vol-static         # 报表模板存储
+                mountPath: /var/app/static     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-hosts
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  
+          - name:  vol-static
+            hostPath:
+                path:  /home/anxinlocal/static  # 宿主机目录   覆盖容器内目录
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: webapi-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: webapi-s
+spec:
+    selector:
+        app: yaml-webapi-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 8092  # 集群内访问
+        targetPort: 8080 #集群内 容器内端口
+        name: tcp-8080
+        nodePort: 30892  #集群外访问 范围30000-32767        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webapi_webconsole/local-webconsole.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webapi_webconsole/local-webconsole.yaml
@ -0,0 +1,69 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: webconsole-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-webconsole-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-webconsole-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-webconsole-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-webconsole            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/anxinyun/console-web:75.21-06-10
+            #image: repository.anxinyun.cn/anxinyun/console:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: ANXINCLOUD_API
+                  value: http://webapi-service:8092
+                - name: ANXINCLOUD_IOTA_API
+                  value: http://iota-webapi-service:9080
+                - name: ANXINCLOUD_HDFS_HTTP
+                  value: http://10.8.30.155:50070
+                - name: ANXINCLOUD_QINIU_AK
+                  value: 5XrM4wEB9YU6RQwT64sPzzE6cYFKZgssdP5Kj3uu
+                - name: ANXINCLOUD_QINIU_SK
+                  value: w6j2ixR_i-aelc6I7S3HotKIX-ukMzcKmDfH6-M5
+                - name: ANXINCLOUD_QINIU_BUCKET_RESOURCE
+                  value: anxinyun-test
+                - name: ANXINCLOUD_QINIU_DOMAIN_QNDMN_RESOURCE
+                  value: http://test.resources.anxinyun.cn
+                - name: "ANXINCLOUD_IOTA_AUTH"           
+                  value: "MGU0MmFmZTZlNzEwNTVjZWEyNWZjMDA4M2Q4MTY0MjZjNTg2N2I4OTozNWUwYWRmMGEzMDM0NWEzMTA0YTA2YmI4YTY0ODQwMGQ5NGE5YzIw"
+            ports:
+                - containerPort: 8080     #定义容器的端口
+                  name: tcp-8080
+            command: ['node','server.js','-p','8080']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-hosts         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-hosts
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: webconsole-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: webconsole-s
+spec:
+    selector:
+        app: yaml-webconsole-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 8072  # 集群内访问
+        targetPort: 8080 #集群内 容器内端口
+        name: tcp-8080
+        nodePort: 30872  #集群外访问 范围30000-32767        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webapi_webconsole/报表模板static/daily.xlsx
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webapi_webconsole/报表模板static/daily.xlsx
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webproject/local-webproject.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webproject/local-webproject.yaml
@ -0,0 +1,73 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: webproject-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yaml-webproject-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-webproject-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yaml-webproject-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-webproject            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/anxinyun/project:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "ANXINCLOUD_API"          #变量的名字  
+                  value: "http://webapi-service:8092"        #变量的值 
+                - name: "ANXINCLOUD_PROXY_IOTA"           
+                  value: "iota-proxy-service:8091"   
+                - name: "ANXINCLOUD_HDFS_HTTP"           
+                  value: "http://10.8.30.155:50070"                         
+                #本地化 图片不存在 七牛# 
+                - name: "ANXINCLOUD_QINIU_AK"           
+                  value: "5XrM4wEB9YU6RQwT64sPzzE6cYFKZgssdP5Kj3uu" 
+                - name: "ANXINCLOUD_QINIU_SK"           
+                  value: "w6j2ixR_i-aelc6I7S3HotKIX-ukMzcKmDfH6-M5"
+                - name: "ANXINCLOUD_QINIU_BUCKET_RESOURCE"           
+                  value: "anxinyun-test"
+                - name: "ANXINCLOUD_QINIU_DOMAIN_QNDMN_RESOURCE"           
+                  value: "http://test.resources.anxinyun.cn"  
+                - name: "ANXINCLOUD_FC_UPLOAD_PATH"           
+                  value: "upload"
+                - name: "ANXINCLOUD_FC_LOCAL_ROOT_PATH"           
+                  value: "static"
+                - name: "ANXINCLOUD_FC_LOCAL_CHILD_PATH"           
+                  value: "child"
+            ports:
+                - containerPort: 8080     #定义容器的端口
+                  name: tcp-8080
+            command: ['node','server.js','-p','8080']
+            volumeMounts:          #改容器内无法修改hosts 挂载出来修改
+              - name: vol-hosts         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /etc/hosts     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-hosts
+            hostPath:
+                path:  /etc/hosts  # 宿主机目录   覆盖容器内目录  间接统一hosts
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: webproject-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: webproject-s
+spec:
+    selector:
+        app: yaml-webproject-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 8073  # 集群内访问
+        targetPort: 8080 #集群内 容器内端口
+        name: tcp-8080
+        nodePort: 30873  #集群外访问 范围30000-32767        
--- a/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webproject/readme.txt
+++ b/本地化下沉-打包/offline离线安装脚本/appImage_yamls/anxin_webproject/readme.txt
@ -0,0 +1 @@
+用户侧  项目 访问
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_tars/readme.txt
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_tars/readme.txt
@ -0,0 +1,3 @@
+安心云 基础 镜像 7个
+
+make-base-tar.sh  脚本执行 后存入当前文件夹
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/docker-compose参考.yml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/docker-compose参考.yml
@ -0,0 +1,65 @@
+version: '3'
+services:
+  es:
+    image: repository.anxinyun.cn/base-images/es:6.8.2-3.21-04-21
+    container_name: fs_elasticsearch
+    environment:
+      - "cluster.name=elasticsearch"
+      - "discovery.type=single-node"
+      - "ES_JAVA_OPTS=-Xms512m -Xmx512m"
+    volumes:
+      - /data/es/data:/usr/share/elasticsearch/data
+    ports:
+      - 9200:9200
+
+
+  redis:
+    image: repository.anxinyun.cn/base-images/redis:5-1.21-04-13
+    container_name: fs_redis
+    volumes:
+      - /data/redis/data:/data
+      - /data/redis/logs:/logs
+    command:
+      /bin/sh -c "redis-server --protected-mode 'no' --appendonly yes"
+    ports:
+      - 6379:6379
+   
+  emqx:
+    image: emqx/emqx
+    container_name: fs_emqx
+    ports:
+      - 18083:18083
+      - 1883:1883
+
+  kafka:
+    image: repository.anxinyun.cn/base-images/kafka-alpine:2.11-1.21-04-19
+    container_name: fs_kafka
+    ports:
+      - 9092:9092
+      - 2182:2182
+
+  pg:
+    image: repository.anxinyun.cn/base-images/pg:12-1.21-04-14
+    container_name: fs_pg
+    environment:
+      - "POSTGRES_PASSWORD=example"
+    volumes:
+      - /data/pg/data:/var/lib/postgresql/data
+      - ./script:/script
+    ports:
+      - 5432:5432
+  adminer:
+    image: adminer
+    restart: always
+    ports:
+      - 8081:8080
+  kibana:
+    image: kibana:6.8.2
+    environment:
+      - "ELASTICSEARCH_HOSTS=http://es:9200"
+    ports:
+      - 5601:5601
+networks:
+  default:
+    external:
+      name: fs-network
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/local-ES.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/local-ES.yaml
@ -0,0 +1,55 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: es-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yamles-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yamles-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yamles-d
+    spec:
+        containers:               #定义容器信息
+          - name: yamles            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/base-images/es:6.8.2-3.21-04-21     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "cluster.name"          #变量的名字  
+                  value: "elasticsearch"        #变量的值 
+                - name: "discovery.type"           
+                  value: "single-node"        
+                - name: "ES_JAVA_OPTS"           
+                  value: "-Xms512m -Xmx512m"                  
+            ports:
+                - containerPort: 9200     #定义容器的对外端口
+            volumeMounts:          
+              - name: vol-data         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /usr/share/elasticsearch/data     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-data
+            hostPath:
+                path:  /home/anxinlocal/esdata  # 宿主机目录  
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: es-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: es-s
+spec:
+    selector:
+        app: yamles-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 9200  # 集群内访问
+        targetPort: 9200 #集群内 容器内端口
+        nodePort: 30092  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/local-kabana.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/local-kabana.yaml
@ -0,0 +1,44 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: kibana-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: kibana-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yamlkibana-d        #名称
+  template:             #定义模板
+    metadata:
+      labels:
+        app: yamlkibana-d
+    spec:
+        containers:               #定义容器信息
+          - name: yamlkibana            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/base-images/kibana:6.8.2     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "ELASTICSEARCH_HOSTS"          #变量的名字  
+                  value: "http://es-service:9200"        #变量的值     注意这里面的es-service 是es的yaml service的name               
+            ports:
+                - containerPort: 5601     #定义容器的对外端口
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: kibana-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: kibana-s
+spec:
+    selector:
+      app: yamlkibana-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 5601  # 集群内访问
+        targetPort: 5601 #集群内 容器内端口
+        nodePort: 30601  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_aggregation
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_aggregation
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"change_data":{"dynamic":"true","properties":{"diffX":{"type":"float"},"direction":{"type":"float"},"displacement":{"type":"float"},"force":{"type":"float"},"humidity":{"type":"float"},"noise":{"type":"float"},"pm10":{"type":"float"},"pm25":{"type":"float"},"speed":{"type":"float"},"temperature":{"type":"float"},"total":{"type":"float"},"waterLevel":{"type":"float"},"x":{"type":"float"},"y":{"type":"float"},"z":{"type":"float"}}},"data":{"dynamic":"true","properties":{"alarm_status":{"type":"float"},"aqi":{"type":"long"},"aqiLevel":{"type":"long"},"bri":{"type":"float"},"co":{"type":"float"},"co_24h":{"type":"float"},"co_24h_iaqi":{"type":"long"},"co_iaqi":{"type":"long"},"diffX":{"type":"float"},"direction":{"type":"float"},"displacement":{"type":"float"},"do":{"type":"float"},"do_24h":{"type":"float"},"end_state":{"type":"long"},"end_time":{"type":"date"},"female_in":{"type":"float"},"female_out":{"type":"float"},"female_stay":{"type":"float"},"force":{"type":"float"},"frequency":{"type":"float"},"from_state":{"type":"long"},"from_time":{"type":"date"},"humidity":{"type":"float"},"inflow":{"type":"float"},"latitude":{"type":"float"},"longitude":{"type":"float"},"male_in":{"type":"float"},"male_out":{"type":"float"},"male_stay":{"type":"float"},"no2":{"type":"float"},"no2_24h":{"type":"float"},"no2_24h_iaqi":{"type":"long"},"no2_iaqi":{"type":"long"},"noise":{"type":"float"},"o3":{"type":"float"},"o3_1h_24h":{"type":"float"},"o3_1h_24h_iaqi":{"type":"long"},"o3_1h_iaqi":{"type":"long"},"o3_8h":{"type":"float"},"o3_8h_24h":{"type":"float"},"o3_8h_24h_iaqi":{"type":"long"},"o3_8h_iaqi":{"type":"long"},"o3_iaqi":{"type":"long"},"on":{"type":"float"},"on_duration":{"type":"long"},"online":{"type":"float"},"outflow":{"type":"float"},"pEnergy":{"type":"float"},"ph":{"type":"float"},"ph_24h":{"type":"float"},"pm10":{"type":"float"},"pm10_24h":{"type":"float"},"pm10_24h_iaqi":{"type":"long"},"pm10_iaqi":{"type":"long"},"pm25":{"type":"float"},"pm2_5":{"type":"float"},"pm2_5_24h":{"type":"float"},"pm2_5_24h_iaqi":{"type":"long"},"pm2_5_iaqi":{"type":"long"},"primaryPollutant":{"type":"text","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"rainfall":{"type":"float"},"runtime":{"type":"float"},"so2":{"type":"float"},"so2_24h":{"type":"float"},"so2_24h_iaqi":{"type":"long"},"so2_iaqi":{"type":"long"},"speed":{"type":"float"},"tds":{"type":"float"},"tds_24h":{"type":"float"},"temp":{"type":"float"},"temp_24h":{"type":"float"},"temperature":{"type":"float"},"total":{"type":"float"},"turb":{"type":"float"},"turb_24h":{"type":"float"},"vocs":{"type":"float"},"vocs_24h":{"type":"float"},"voltage":{"type":"float"},"waterLevel":{"type":"float"},"wqLevel":{"type":"text","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"x":{"type":"float"},"y":{"type":"float"},"z":{"type":"float"}}},"date":{"type":"date"},"method":{"type":"keyword"},"sensor":{"type":"long"},"type":{"type":"keyword"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_alarm_details
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_alarm_details
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"10s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"alarmId":{"type":"keyword"},"alarmRange":{"type":"integer"},"alarm_code":{"type":"keyword"},"alarm_pic":{"type":"text","norms":false},"alarm_state":{"type":"integer"},"content":{"norms":false,"type":"text"},"current_level":{"type":"integer"},"sponsor":{"type":"keyword"},"time":{"type":"date","format":"yyyy-MM-dd'T'HH:mm:ss.SSSZ"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_alarms
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_alarms
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"10s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"alarm_code":{"type":"keyword"},"alarm_content":{"norms":false,"type":"text"},"alarm_count":{"type":"integer"},"alarm_type_code":{"type":"keyword"},"alarm_type_id":{"type":"integer"},"current_level":{"type":"integer"},"end_time":{"type":"date","format":"yyyy-MM-dd'T'HH:mm:ss.SSSZ"},"initial_level":{"type":"integer"},"source_id":{"type":"keyword"},"source_name":{"type":"text"},"source_type_id":{"type":"integer"},"start_time":{"type":"date","format":"yyyy-MM-dd'T'HH:mm:ss.SSSZ"},"state":{"type":"integer"},"structure_id":{"type":"integer"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_diagnosis
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_diagnosis
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"collect_time":{"type":"date","format":"date_time || yyyy-MM-dd HH:mm:ss"},"data":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":512}}},"iota_device":{"type":"keyword"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_raws
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_raws
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_rt_aggregation
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_rt_aggregation
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"change_data":{"dynamic":"true","properties":{"diffX":{"type":"float"},"direction":{"type":"float"},"displacement":{"type":"float"},"force":{"type":"float"},"humidity":{"type":"float"},"noise":{"type":"float"},"pm10":{"type":"float"},"pm25":{"type":"float"},"speed":{"type":"float"},"temperature":{"type":"float"},"total":{"type":"float"},"waterLevel":{"type":"float"},"x":{"type":"float"},"y":{"type":"float"},"z":{"type":"float"}}},"data":{"dynamic":"true","properties":{"alarm_status":{"type":"float"},"aqi":{"type":"long"},"aqiLevel":{"type":"long"},"bri":{"type":"float"},"co":{"type":"float"},"co_24h":{"type":"float"},"co_24h_iaqi":{"type":"long"},"co_iaqi":{"type":"long"},"diffX":{"type":"float"},"direction":{"type":"float"},"displacement":{"type":"float"},"do":{"type":"float"},"do_24h":{"type":"float"},"end_state":{"type":"long"},"end_time":{"type":"date"},"female_in":{"type":"float"},"female_out":{"type":"float"},"female_stay":{"type":"float"},"force":{"type":"float"},"frequency":{"type":"float"},"from_state":{"type":"long"},"from_time":{"type":"date"},"humidity":{"type":"float"},"inflow":{"type":"float"},"latitude":{"type":"float"},"longitude":{"type":"float"},"male_in":{"type":"float"},"male_out":{"type":"float"},"male_stay":{"type":"float"},"no2":{"type":"float"},"no2_24h":{"type":"float"},"no2_24h_iaqi":{"type":"long"},"no2_iaqi":{"type":"long"},"noise":{"type":"float"},"o3":{"type":"float"},"o3_1h_24h":{"type":"float"},"o3_1h_24h_iaqi":{"type":"long"},"o3_1h_iaqi":{"type":"long"},"o3_8h":{"type":"float"},"o3_8h_24h":{"type":"float"},"o3_8h_24h_iaqi":{"type":"long"},"o3_8h_iaqi":{"type":"long"},"o3_iaqi":{"type":"long"},"on":{"type":"float"},"on_duration":{"type":"long"},"online":{"type":"float"},"outflow":{"type":"float"},"pEnergy":{"type":"float"},"ph":{"type":"float"},"ph_24h":{"type":"float"},"pm10":{"type":"float"},"pm10_24h":{"type":"float"},"pm10_24h_iaqi":{"type":"long"},"pm10_iaqi":{"type":"long"},"pm25":{"type":"float"},"pm2_5":{"type":"float"},"pm2_5_24h":{"type":"float"},"pm2_5_24h_iaqi":{"type":"long"},"pm2_5_iaqi":{"type":"long"},"primaryPollutant":{"type":"text","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"rainfall":{"type":"float"},"runtime":{"type":"float"},"so2":{"type":"float"},"so2_24h":{"type":"float"},"so2_24h_iaqi":{"type":"long"},"so2_iaqi":{"type":"long"},"speed":{"type":"float"},"tds":{"type":"float"},"tds_24h":{"type":"float"},"temp":{"type":"float"},"temp_24h":{"type":"float"},"temperature":{"type":"float"},"total":{"type":"float"},"turb":{"type":"float"},"turb_24h":{"type":"float"},"vocs":{"type":"float"},"vocs_24h":{"type":"float"},"voltage":{"type":"float"},"waterLevel":{"type":"float"},"wqLevel":{"type":"text","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"x":{"type":"float"},"y":{"type":"float"},"z":{"type":"float"}}},"date":{"type":"date"},"method":{"type":"keyword"},"sensor":{"type":"long"},"type":{"type":"keyword"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_sentiment
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_sentiment
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"createTime":{"type":"date","format":"date_time || yyyy-MM-dd HH:mm:ss"},"evaluate":{"type":"keyword"},"evaluateTime":{"type":"date","format":"date_time || yyyy-MM-dd HH:mm:ss"},"id":{"type":"keyword"},"job":{"type":"keyword"},"job_id":{"type":"keyword"},"orderNum":{"type":"keyword"},"questionAddress":{"type":"nested","properties":{"sort":{"type":"long"},"t_report_address_id":{"type":"long"},"t_report_address_name":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":256}}},"t_report_address_pid":{"type":"long"}}},"questionLocate":{"type":"keyword"},"real_name":{"type":"keyword"},"score":{"type":"keyword"},"status":{"type":"keyword"},"t_job_name":{"type":"keyword"},"t_organization_name":{"type":"keyword"},"t_report_id":{"type":"keyword"},"t_report_name":{"type":"keyword"},"title":{"type":"keyword"},"username":{"type":"keyword"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_themes
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_themes
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_vbraws
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/native_vbraws
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"30s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"strict","_all":{"enabled":false},"properties":{"collect_time":{"type":"date","format":"date_time || yyy-MM-dd HH:mm:ss"},"create_time":{"type":"date","format":"date_time || yyyy-MM-dd HH:mm:ss"},"data":{"dynamic":"strict","properties":{"raw":{"type":"float"}}},"iota_device":{"type":"keyword"},"iota_device_name":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":100}}},"param":{"dynamic":"strict","properties":{"filterFreq":{"type":"float"},"gainAmplifier":{"type":"long"},"sampleFreq":{"type":"float"},"triggerType":{"type":"long"},"version":{"type":"long"}}},"structId":{"type":"long"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/secure_events
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/secure_events
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"describe":{"type":"text","norms":false},"structId":{"type":"integer"},"time":{"type":"date","format":"date_time || yyy-MM-dd HH:mm:ss"},"title":{"type":"text","norms":false}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/secure_patrols
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/secure_patrols
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"picture":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":256}}},"confirm":{"type":"boolean"},"content":{"type":"text","norms":false},"diseaseDescribe":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":256}}},"diseaseId":{"type":"integer"},"level":{"type":"integer"},"levelDescribe":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":256}}},"opinion":{"norms":false,"type":"text"},"parts":{"type":"integer"},"position":{"norms":false,"type":"text"},"result":{"type":"boolean"},"score":{"norms":false,"type":"text"},"structId":{"type":"integer"},"time":{"type":"date","format":"date_time || yyy-MM-dd HH:mm:ss"},"title":{"norms":false,"type":"text"},"weather":{"norms":false,"type":"text"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/secure_ranking
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/secure_ranking
@ -0,0 +1 @@
+{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"incline":{"type":"integer"},"inclineProposal":{"type":"text","norms":false},"inclineWeight":{"type":"double"},"inspection":{"type":"integer"},"inspectionProposal":{"type":"text","norms":false},"inspectionWeight":{"type":"double"},"score":{"type":"double"},"structId":{"type":"integer"},"time":{"type":"date","format":"date_time || yyy-MM-dd HH:mm:ss"},"vehicleFlow":{"type":"integer"},"vehicleFlowProposal":{"type":"text","norms":false},"vehicleFlowWeight":{"type":"double"},"vib":{"type":"integer"},"vibProposal":{"type":"text","norms":false},"vibWeight":{"type":"double"}}}}}
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/init_es_index.sh
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/初始化ES索引/init_es_index.sh
@ -0,0 +1,7 @@
+#!/bin/bash
+for i in $(ls ./baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/);
+do
+	setting=$(cat ./baseImage_yamls/启动ES和kibana/初始化ES索引/es_index/$i)
+	#30092 是k8s的es-service 的nodePort
+	curl -H "Content-Type: application/json" -XPUT "http://localhost:30092/$i" -d "$setting"
+done
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/命令.txt
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动ES和kibana/命令.txt
@ -0,0 +1 @@
+microk8s.kubectl  apply -f  local-ES.yaml
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动emqx/local-emqx.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动emqx/local-emqx.yaml
@ -0,0 +1,51 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: emqx-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: emqx-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yamlemqx-d        #名称
+  template:             #定义模板
+    metadata:
+      labels:
+        app: yamlemqx-d
+    spec:
+        containers:               #定义容器信息
+          - name: yamlemqx            #容器名，与标签名要相同
+            image: docker.io/emqx/emqx:4.3.9     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像      
+            ports:
+                - containerPort: 1883     #定义容器的端口
+                  name: tcp-emqx
+                - containerPort: 18083     #定义容器的端口  
+                  name: tcp-emqx-web
+                  
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: emqx-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: emqx-s
+spec:
+    selector:
+      app: yamlemqx-d  #deployment标签
+    type: NodePort   #ClusterIP
+    ports:
+      - protocol: TCP
+        port: 1883  # 集群内访问
+        targetPort: 1883 #集群内 容器内端口
+        name: tcp-1883
+        nodePort: 30883  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 18083  # 集群内访问
+        targetPort: 18083 #集群内 容器内端口
+        name: tcp-18083
+        nodePort: 30083  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动kafka/kafka调试发送，接收.txt
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动kafka/kafka调试发送，接收.txt
@ -0,0 +1,20 @@
+
+进入容器  容器名称按照实际的来
+microk8s.kubectl -n lk  exec -it kafka-deployment-7f8f466fd8-47z22 bash
+
+生产 TOPIC  主题内容
+cd /usr/local/kafka/kafka_2.11-2.0.0
+
+ bin/kafka-console-producer.sh --broker-list localhost:9092 --topic TOPIC
+
+
+
+
+
+
+
+监听 TOPIC  主题内容
+cd /usr/local/kafka/kafka_2.11-2.0.0
+
+bin/kafka-console-consumer.sh --bootstrap-server localhost:9092 --topic TOPIC --from-beginning
+
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动kafka/local-kafka.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动kafka/local-kafka.yaml
@ -0,0 +1,54 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: kafka-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: kafka-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yamlkafka-d        #名称
+  template:             #定义模板
+    metadata:
+      labels:
+        app: yamlkafka-d
+    spec:
+        containers:               #定义容器信息
+          - name: yamlkafka            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/base-images/kafka-alpine:2.11-1.21-04-19     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像      
+            ports:
+                - containerPort: 9092     #定义容器的端口
+                  name: tcp-kafka
+                - containerPort: 2181     #定义容器的端口  
+                  name: tcp-zookeeper
+        # hostNetwork: true
+        # dnsPolicy: ClusterFirstWithHostNet
+        
+                  
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: kafka-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: kafka-s
+spec:
+    selector:
+      app: yamlkafka-d  #deployment标签
+    type: NodePort   #ClusterIP
+    ports:
+      - protocol: TCP
+        port: 9092  # 集群内访问
+        targetPort: 9092 #集群内 容器内端口
+        name: tcp-9092
+        nodePort: 30992  #集群外访问 范围30000-32767
+      - protocol: TCP
+        port: 2181  # 集群内访问
+        targetPort: 2181 #集群内 容器内端口
+        name: tcp-2181
+        nodePort: 30181  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/init_pg.sh
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/init_pg.sh
@ -0,0 +1,10 @@
+#!/bin/bash
+#k8s的 pod名称获取,后续需需要改进
+#-f 容器内脚本 不加 则 宿主机内脚本
+microk8s.kubectl exec  -it pg-deployment-8564d489c8-7xr95 -n lk  -- psql -U postgres -f script/create_db.sql
+
+microk8s.kubectl exec  -it pg-deployment-8564d489c8-7xr95 -n lk  -- psql -U postgres  -d iota -f script/iota_create.sql
+
+microk8s.kubectl exec  -it pg-deployment-8564d489c8-7xr95 -n lk  -- psql -U postgres -d axy -f script/axy_schema.sql
+
+microk8s.kubectl exec  -it pg-deployment-8564d489c8-7xr95 -n lk  -- psql -U postgres -d axy -f script/axy_data.sql
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/local-adminer-pgweb.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/local-adminer-pgweb.yaml
@ -0,0 +1,40 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: adminer-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: adminer-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yaml-adminer-d        #名称
+  template:             #定义模板
+    metadata:
+      labels:
+        app: yaml-adminer-d
+    spec:
+        containers:               #定义容器信息
+          - name: yaml-adminer           #容器名，与标签名要相同
+            image: repository.anxinyun.cn/base-images/adminer:latest     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像           
+            ports:
+                - containerPort: 8080     #定义容器的对外端口
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: adminer-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: adminer-s
+spec:
+    selector:
+      app: yaml-adminer-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 8081  # 集群内访问
+        targetPort: 8080 #集群内 容器内端口
+        nodePort: 30881  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/local-pg.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/local-pg.yaml
@ -0,0 +1,50 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: pg-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: pg-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yamlpg-d        #名称
+  template:             #定义模板
+    metadata:
+      labels:
+        app: yamlpg-d
+    spec:
+        containers:               #定义容器信息
+          - name: yamlpg           #容器名，与标签名要相同
+            image: repository.anxinyun.cn/base-images/pg:12-1.21-04-14     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像
+            env:  #环境变量
+                - name: "POSTGRES_PASSWORD"          #变量的名字  
+                  value: "example"        #变量的值              
+            ports:
+                - containerPort: 5432     #定义容器的对外端口
+            volumeMounts:          
+              - name: vol-data         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /var/lib/postgresql/data     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-data
+            hostPath:
+                path:  /home/anxinlocal/pgdata  # 宿主机目录 
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: pg-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: pg-s
+spec:
+    selector:
+      app: yamlpg-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 5432  # 集群内访问
+        targetPort: 5432 #集群内 容器内端口
+        nodePort: 30432  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/01_create_tables.sql
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/01_create_tables.sql
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/02_insert_table_data.sql
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/02_insert_table_data.sql
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/axy_data.sql
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/axy_data.sql
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/axy_schema.sql
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/axy_schema.sql
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/create_db.sql
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/create_db.sql
@ -0,0 +1,2 @@
+CREATE DATABASE IOTA;
+CREATE DATABASE AXY;
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/iota_create.sql
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动pg数据库/pgscript/iota_create.sql
--- a/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动redis/local-redis.yaml
+++ b/本地化下沉-打包/offline离线安装脚本/baseImage_yamls/启动redis/local-redis.yaml
@ -0,0 +1,54 @@
+apiVersion: apps/v1     #指定API版本标签
+kind: Deployment        #定义资源的类型/角色，deployment为控制器，service，endpoints
+metadata:               #定义资源的元数据信息
+  name: redis-deployment        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: yamlredis-d
+spec:
+  replicas: 1           #定义副本数量
+  selector:             #定义选择器
+    matchLabels:        #匹配上边的标签
+      app: yamlredis-d        #名称
+  template:             #定义模板
+    metadata:
+        labels:
+            app: yamlredis-d
+    spec:
+        containers:               #定义容器信息
+          - name: yamlredis            #容器名，与标签名要相同
+            image: repository.anxinyun.cn/base-images/redis:5-1.21-04-13     #容器使用的镜像以及版本
+            imagePullPolicy: IfNotPresent   #获取镜像的策略 Alawys表示下载镜像 IfNotPresent 表示优先使用本地镜像,否则下载镜像，Never表示仅使用本地镜像  
+            command: ["/bin/sh","-c","redis-server --protected-mode 'no' --appendonly yes"]        #启动容器的运行命令，将覆盖容器中的Entrypoint,对应Dockefile中的ENTRYPOINT            
+            ports:
+                - containerPort: 6379     #定义容器的对外端口
+            volumeMounts:          
+              - name: vol-data         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /data     # 容器的数据目录
+              - name: vol-log         #挂载设备的名字，与volumes[*].name 需要对应
+                mountPath: /logs     # 容器的数据目录
+        volumes:   # volumes和container处于同一层级，别搞错了
+          - name:  vol-data
+            hostPath:
+                path:  /home/anxinlocal/redisdata  # 宿主机目录 
+          - name:  vol-log
+            hostPath:
+                path:  /home/anxinlocal/redislogs  # 宿主机目录 
+
+---
+apiVersion: v1     #指定API版本标签
+kind: Service        #定义资源的类型/角色，Deployment为控制器，Service，endpoints
+metadata:               #定义资源的元数据信息
+  name: redis-service        #定义资源的名称，在同一个namespace空间中必须是唯一的
+  namespace: lk   #默认default
+  labels:               #定义资源标签
+    app: redis-s
+spec:
+    selector:
+        app: yamlredis-d  #deployment标签
+    type: NodePort
+    ports:
+      - protocol: TCP
+        port: 6379  # 集群内访问
+        targetPort: 6379 #集群内 容器内端口
+        nodePort: 30379  #集群外访问 范围30000-32767
--- a/本地化下沉-打包/offline离线安装脚本/fetch-images.sh
+++ b/本地化下沉-打包/offline离线安装脚本/fetch-images.sh
@ -0,0 +1,49 @@
+#!/bin/bash
+images=(
+    k8s.gcr.io/pause:3.1=registry.cn-hangzhou.aliyuncs.com/google_containers/pause-amd64:3.1
+    gcr.io/google_containers/defaultbackend:1.4=registry.cn-hangzhou.aliyuncs.com/google_containers/defaultbackend:1.4
+    k8s.gcr.io/kubernetes-dashboard-amd64:v1.10.1=registry.cn-hangzhou.aliyuncs.com/google_containers/kubernetes-dashboard-amd64:v1.10.1
+    k8s.gcr.io/heapster-influxdb-amd64:v1.3.3=registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-influxdb-amd64:v1.3.3
+    k8s.gcr.io/heapster-amd64:v1.5.2=registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-amd64:v1.5.2
+    k8s.gcr.io/heapster-grafana-amd64:v4.4.3=registry.cn-hangzhou.aliyuncs.com/google_containers/heapster-grafana-amd64:v4.4.3
+    #1.22 microk8s版本 metrics-server
+    k8s.gcr.io/metrics-server/metrics-server:v0.5.0=registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server:v0.5.0
+    #1.21 microk8s版本 metrics-server
+    #k8s.gcr.io/metrics-server-amd64:v0.3.6=registry.cn-hangzhou.aliyuncs.com/google_containers/metrics-server-amd64:v0.3.6
+    #kube-system/calico-node 离线安装需要
+    docker.io/calico/cni:v3.19.1=docker.io/calico/cni:v3.19.1
+    docker.io/calico/pod2daemon-flexvol:v3.19.1=docker.io/calico/pod2daemon-flexvol:v3.19.1
+    docker.io/calico/node:v3.19.1=docker.io/calico/node:v3.19.1
+    #kube-system/calico-kube-controllers离线安装需要
+    docker.io/calico/kube-controllers:v3.17.3=docker.io/calico/kube-controllers:v3.17.3
+    #kube-system/dashboard-metrics-scraper离线安装需要
+    docker.io/kubernetesui/metrics-scraper:v1.0.6=docker.io/kubernetesui/metrics-scraper:v1.0.6
+    #kube-system/kubernetes-dashboard离线安装需要
+    docker.io/kubernetesui/dashboard:v2.2.0=docker.io/kubernetesui/dashboard:v2.2.0
+    #kube-system/coredns离线安装需要
+    docker.io/coredns/coredns:1.8.0=docker.io/coredns/coredns:1.8.0
+)
+
+OIFS=$IFS # 保存旧值
+
+imagelist=()
+imageindex=1
+for image in ${images[*]}; do
+    IFS='='
+    set $image
+    echo "准备拉取 $2"
+    microk8s.ctr image pull $2
+    if [ $1 != $2 ]; then
+        microk8s.ctr image tag $2 $1
+        microk8s.ctr image rm $2
+    fi
+
+    imagelist[imageindex]=$1
+    imageindex=$((imageindex + 1))
+    echo "拉取成功"
+    IFS=$OIFS # 还原旧值
+done
+echo "${imagelist[*]}"
+microk8s.ctr image export ./dashboardAndCalicoImages.tar ${imagelist[*]}
+
+#return 0
--- a/本地化下沉-打包/offline离线安装脚本/loopDirToFindYamlOrTar.sh
+++ b/本地化下沉-打包/offline离线安装脚本/loopDirToFindYamlOrTar.sh
@ -0,0 +1,30 @@
+#! /bin/bash
+find_list=()
+index=0
+function read_dir() {
+
+    for file in $(ls $1); do
+        local path=$1"/"$file
+        if [ -d $path ]; then #注意此处之间一定要加上空格，否则会报错
+            read_dir $path $2
+        else
+            #echo $path #在此处处理文件即可
+            extendname=${file##*.}
+            if [ "$extendname" == "$2" ]; then
+
+                find_list[index]="$path"
+                echo "找到${2}文件：${find_list[index]}"
+                index=$((index + 1))
+            # else
+            #     echo "$file不匹配 $2"
+
+            fi
+        fi
+    done
+    #echo "数组元素个数为: ${#find_list[*]}"
+}
+#读取第一个参数
+
+read_dir $1 $2
+echo "c-数组元素个数为: ${#find_list[*]}"
+return 0
--- a/本地化下沉-打包/offline离线安装脚本/make-app-tar.sh
+++ b/本地化下沉-打包/offline离线安装脚本/make-app-tar.sh
@ -0,0 +1,45 @@
+#!/bin/bash
+#所有app镜像
+images=(
+    repository.anxinyun.cn/anxinyun/smislocal-alarm:6.21-03-18=repository.anxinyun.cn/anxinyun/smislocal-alarm:6.21-03-18
+    repository.anxinyun.cn/local/config_center:latest=repository.anxinyun.cn/local/config_center:latest
+    repository.anxinyun.cn/anxinyun/api:137.21-08-17=repository.anxinyun.cn/anxinyun/api:137.21-08-17
+    repository.anxinyun.cn/anxinyun/console-web:75.21-06-10=repository.anxinyun.cn/anxinyun/console-web:75.21-06-10
+    repository.anxinyun.cn/anxinyun/project:latest=repository.anxinyun.cn/anxinyun/project:latest
+    repository.anxinyun.cn/local/et:latest=repository.anxinyun.cn/local/et:latest
+    repository.anxinyun.cn/iota/dac:28.21-04-14=repository.anxinyun.cn/iota/dac:28.21-04-14
+    repository.anxinyun.cn/iota/prometheus:latest=repository.anxinyun.cn/iota/prometheus:latest
+    repository.anxinyun.cn/anxin/iota-proxy:latest=repository.anxinyun.cn/anxin/iota-proxy:latest
+    repository.anxinyun.cn/iota/web-console-api:50.21-05-24=repository.anxinyun.cn/iota/web-console-api:50.21-05-24
+    repository.anxinyun.cn/anxinyun/py.rpc:dragon.32=repository.anxinyun.cn/anxinyun/py.rpc:dragon.32
+    repository.anxinyun.cn/local/report-client:12.21-10-28=repository.anxinyun.cn/local/report-client:12.21-10-28
+)
+
+OIFS=$IFS # 保存旧值
+imagelist=()
+imageindex=1
+for image in ${images[*]}; do
+    IFS='='
+    set $image
+    echo "准备拉取 $2"
+    microk8s.ctr image pull $2
+    if [ $1 != $2 ]; then
+        microk8s.ctr image tag $2 $1
+        microk8s.ctr image rm $2
+    fi
+    imagelist[imageindex]=$1
+    imageindex=$((imageindex + 1))
+    echo "拉取成功"
+    tempname=${2##*/}
+    echo "tempname=$tempname"
+    newtarname=${tempname/:/-}
+    echo "tar存储镜像   $newtarname"
+    microk8s.ctr image export "./${newtarname}.tar" $1
+    IFS=$OIFS # 还原旧值
+done
+
+echo "${imagelist[*]}"
+#microk8s.ctr image export ./baseImages.tar ${imagelist[*]}  #全部导入一个tar
+#microk8s.ctr image export ./emqx:4.3.5.tar docker.io/emqx/emqx:4.3.9  # emqx导出问题？先用docker导出
+#docker save -o emqx-4.3.9.tar  docker.io/emqx/emqx:4.3.9   
+return 0
--- a/本地化下沉-打包/offline离线安装脚本/make-base-tar.sh
+++ b/本地化下沉-打包/offline离线安装脚本/make-base-tar.sh
@ -0,0 +1,40 @@
+#!/bin/bash
+#所有app镜像
+images=(
+    docker.io/emqx/emqx:4.3.9=docker.io/emqx/emqx:4.3.9
+    repository.anxinyun.cn/base-images/es:6.8.2-3.21-04-21=repository.anxinyun.cn/base-images/es:6.8.2-3.21-04-21
+    repository.anxinyun.cn/base-images/kibana:6.8.2=repository.anxinyun.cn/base-images/kibana:6.8.2
+    repository.anxinyun.cn/base-images/kafka-alpine:2.11-1.21-04-19=repository.anxinyun.cn/base-images/kafka-alpine:2.11-1.21-04-19
+    repository.anxinyun.cn/base-images/pg:12-1.21-04-14=repository.anxinyun.cn/base-images/pg:12-1.21-04-14
+    repository.anxinyun.cn/base-images/adminer:latest=repository.anxinyun.cn/base-images/adminer:latest
+    repository.anxinyun.cn/base-images/redis:5-1.21-04-13=repository.anxinyun.cn/base-images/redis:5-1.21-04-13
+)
+
+OIFS=$IFS # 保存旧值
+imagelist=()
+imageindex=1
+for image in ${images[*]}; do
+    IFS='='
+    set $image
+    echo "准备拉取 $2"
+    microk8s.ctr image pull $2
+    echo "拉取成功"
+    if [ $1 != $2 ]; then
+        microk8s.ctr image tag $2 $1
+        microk8s.ctr image rm $2
+    fi
+    imagelist[imageindex]=$1
+    imageindex=$((imageindex + 1))
+    tempname=${2##*/}
+    echo "tempname=$tempname"
+    newtarname=${tempname/:/-}
+    echo "存储镜像文件名   $newtarname"
+    microk8s.ctr image export "./${newtarname}.tar" $1
+    IFS=$OIFS # 还原旧值
+done
+
+echo "${imagelist[*]}"
+#microk8s.ctr image export ./baseImages.tar ${imagelist[*]}  #全部导入一个tar
+#microk8s.ctr image export ./emqx:4.3.5.tar docker.io/emqx/emqx:4.3.9  # emqx导出问题？先用docker导出
+#docker save -o emqx-4.3.9.tar  docker.io/emqx/emqx:4.3.9   
+return 0
--- a/本地化下沉-打包/offline离线安装脚本/microk8s离线包/readme.txt
+++ b/本地化下沉-打包/offline离线安装脚本/microk8s离线包/readme.txt
@ -0,0 +1,4 @@
+microk8s_2551.assert
+microk8s_2551.snap
+
+包含上述2个microk8s安装文件
--- a/本地化下沉-打包/offline离线安装脚本/offline离线安装脚本.sh
+++ b/本地化下沉-打包/offline离线安装脚本/offline离线安装脚本.sh
@ -0,0 +1,182 @@
+#!/bin/bash
+#microk8s v1.22.2
+
+sudo snap ack ./microk8s离线包/microk8s_2551.assert
+sudo snap install ./microk8s离线包/microk8s_2551.snap --classic
+
+if [ $? != 0 ]; then
+    echo "------1-- microk8s  安装失败  code=$?---------"
+    echo "------1-- microk8s  准备退出 ---------"
+    exit 0
+fi
+
+microk8s.kubectl create namespace lk
+
+dashboardAndCalicoImages_path="./dashboardAndCalicoImages.tar"
+if [ ! -f "$dashboardAndCalicoImages_path" ]; then
+    echo "---------$dashboardAndCalicoImages_path dashboard组件包不存在,退出安装"
+    exit 0
+fi
+
+echo "准备导入 dashboard 组件 镜像"
+microk8s.ctr --namespace k8s.io image import "$dashboardAndCalicoImages_path"
+
+
+sleep 5s
+
+echo "------2-- 组件  准备启动 (这步耗时较久，请等待)---------"
+microk8s status --wait-ready && microk8s enable dashboard
+
+token=$(microk8s kubectl -n kube-system get secret | grep default-token | cut -d " " -f1)
+microk8s kubectl -n kube-system describe secret $token >dashboard_token.txt
+
+sleep 5s
+
+microk8s enable dns
+
+echo "------2-- 组件  启动完成 ---------"
+
+echo "-------- 本地化 基础进程 开始拉取 ---------"
+
+#es 挂载数据路径
+mkdir -p /home/anxinlocal/esdata
+chmod 777 /home/anxinlocal/esdata
+#webapi 报表模板路径
+mkdir -p /home/anxinlocal/static
+#pg 挂载数据路径
+mkdir -p /home/anxinlocal/pgdata
+
+#-----------------------------------base----------------------------
+#判断tar 目录是否存在
+baseImages_tarDir="./baseImage_tars"
+if [ ! -d "$baseImages_tarDir" ]; then
+    echo "---------$baseImages_tarDir  base组件包不存在,退出安装"
+    exit 0
+fi
+
+find_list=()
+# shellcheck source=/dev/null
+source ./loopDirToFindYamlOrTar.sh $baseImages_tarDir "tar"
+echo "find_list文件个数为: ${#find_list[*]}"
+
+#导入 base 镜像
+echo "------3--执行 base 镜像拉取 shell脚本 ---------"
+echo "准备导入 baseImages 组件 镜像"
+for item in ${find_list[*]}; do
+    echo "------3--开始 导入 压缩包  ${item} ---------"
+    microk8s.ctr  image import "$item"
+    sleep 2s
+done
+
+
+
+#判断tar 目录是否存在
+baseImage_yamls="./baseImage_yamls"
+if [ ! -d "$baseImage_yamls" ]; then
+    echo "---------$baseImage_yamls  base组件yaml包不存在,退出安装"
+    exit 0
+fi
+
+
+#启动 base pod
+find_list=()
+# shellcheck source=/dev/null
+source ./loopDirToFindYamlOrTar.sh $baseImage_yamls "yaml"
+echo "f-yaml文件个数为: ${#find_list[*]}"
+
+for item in ${find_list[*]}; do
+    echo "------3-开始拉取base镜像pod ${item} ---------"
+    microk8s.kubectl apply -f ${item}
+    sleep 5s
+done
+
+
+
+#-----------------------------------pg 和 es----------------------------
+
+echo "准备执行pg创建库脚本"
+#测试用
+pgpodname=$(microk8s.kubectl get pod -n lk | grep pg-deployment- | awk '{print $1}')
+echo " pod名称 $pgpodname"
+
+#测试用
+echo "------4--开始执行数据库脚本 ---------"
+#pg数据库 脚本
+#microk8s.kubectl -n lk logs "$(microk8s.kubectl get pod -n lk | grep pg-deployment- | awk '{print $1}')"
+
+microk8s.kubectl exec -i "$pgpodname" -n lk -- psql -U postgres <./$baseImage_yamls/启动pg数据库/pgscript/create_db.sql
+sleep 5s
+microk8s.kubectl exec -i "$pgpodname" -n lk -- psql -U postgres -d iota <./$baseImage_yamls/启动pg数据库/pgscript/iota_create.sql
+sleep 5s
+microk8s.kubectl exec -i "$pgpodname" -n lk -- psql -U postgres -d axy <./$baseImage_yamls/启动pg数据库/pgscript/axy_schema.sql
+sleep 5s
+microk8s.kubectl exec -i "$pgpodname" -n lk -- psql -U postgres -d axy <./$baseImage_yamls/启动pg数据库/pgscript/axy_data.sql
+sleep 5s
+
+#microk8s.kubectl exec -i pg-deployment-6b5dbdc447-l7qqk -n lk -- psql -U postgres -f script/create_db.sql
+
+echo "------4--开始创建es索引 ---------"
+source ./$baseImage_yamls/启动ES和kibana/初始化ES索引/init_es_index.sh
+echo "------4--结束创建es索引 ---------"
+
+#kafka pod地址 存入hosts
+sed -i "1i    $(microk8s.kubectl -n lk get pod -o wide | grep kafka-deployment- | awk '{print $6,$1}') " /etc/hosts
+echo "------4--查看hosts ---------"
+cat /etc/hosts
+
+
+
+
+
+
+#-----------------------------------app----------------------------
+#判断tar 目录是否存在
+appImages_tarDir="./appImage_tars"
+if [ ! -d "$appImages_tarDir" ]; then
+    echo "---------$appImages_tarDir  app组件包不存在,退出安装"
+    exit 0
+fi
+
+find_list=()
+# shellcheck source=/dev/null
+source ./loopDirToFindYamlOrTar.sh $appImages_tarDir "tar"
+echo "find_list文件个数为: ${#find_list[*]}"
+
+#导入 base 镜像
+echo "------5--执行 app 镜像拉取 shell脚本 ---------"
+echo "准备导入 appImages 组件 镜像"
+for item in ${find_list[*]}; do
+    echo "------5--开始 导入 压缩包  ${item} ---------"
+    microk8s.ctr  image import "$item"
+    sleep 2s
+done
+
+
+#判断tar 目录是否存在
+appImage_yamls="./appImage_yamls"
+if [ ! -d "$appImage_yamls" ]; then
+    echo "---------$appImage_yamls  app组件yaml包不存在,退出安装"
+    exit 0
+fi
+
+#启动 app pod
+find_list=()
+# shellcheck source=/dev/null
+source ./loopDirToFindYamlOrTar.sh $appImage_yamls "yaml"
+echo "f-yaml文件个数为: ${#find_list[*]}"
+
+for item in ${find_list[*]}; do
+    echo "------6--开始拉取base镜像pod ${item} ---------"
+    microk8s.kubectl apply -f ${item}
+    sleep 5s
+done
+
+
+
+
+
+echo "------7-- 本地化 进程 部署完成  开始使用 ---------"
+
+cat dashboard_token.txt
+
+#microk8s.kubectl edit svc -n kube-system   kubernetes-dashboard
--- a/本地化下沉-打包/offline离线安装脚本/readme.txt
+++ b/本地化下沉-打包/offline离线安装脚本/readme.txt
@ -0,0 +1,5 @@
+dashboardAndCalicoImages.tar
+
+fetch-images.sh  脚本执行 后存入当前文件夹
+
+
			`@ -0,0 +1 @@`
			{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"change_data":{"dynamic":"true","properties":{"diffX":{"type":"float"},"direction":{"type":"float"},"displacement":{"type":"float"},"force":{"type":"float"},"humidity":{"type":"float"},"noise":{"type":"float"},"pm10":{"type":"float"},"pm25":{"type":"float"},"speed":{"type":"float"},"temperature":{"type":"float"},"total":{"type":"float"},"waterLevel":{"type":"float"},"x":{"type":"float"},"y":{"type":"float"},"z":{"type":"float"}}},"data":{"dynamic":"true","properties":{"alarm_status":{"type":"float"},"aqi":{"type":"long"},"aqiLevel":{"type":"long"},"bri":{"type":"float"},"co":{"type":"float"},"co_24h":{"type":"float"},"co_24h_iaqi":{"type":"long"},"co_iaqi":{"type":"long"},"diffX":{"type":"float"},"direction":{"type":"float"},"displacement":{"type":"float"},"do":{"type":"float"},"do_24h":{"type":"float"},"end_state":{"type":"long"},"end_time":{"type":"date"},"female_in":{"type":"float"},"female_out":{"type":"float"},"female_stay":{"type":"float"},"force":{"type":"float"},"frequency":{"type":"float"},"from_state":{"type":"long"},"from_time":{"type":"date"},"humidity":{"type":"float"},"inflow":{"type":"float"},"latitude":{"type":"float"},"longitude":{"type":"float"},"male_in":{"type":"float"},"male_out":{"type":"float"},"male_stay":{"type":"float"},"no2":{"type":"float"},"no2_24h":{"type":"float"},"no2_24h_iaqi":{"type":"long"},"no2_iaqi":{"type":"long"},"noise":{"type":"float"},"o3":{"type":"float"},"o3_1h_24h":{"type":"float"},"o3_1h_24h_iaqi":{"type":"long"},"o3_1h_iaqi":{"type":"long"},"o3_8h":{"type":"float"},"o3_8h_24h":{"type":"float"},"o3_8h_24h_iaqi":{"type":"long"},"o3_8h_iaqi":{"type":"long"},"o3_iaqi":{"type":"long"},"on":{"type":"float"},"on_duration":{"type":"long"},"online":{"type":"float"},"outflow":{"type":"float"},"pEnergy":{"type":"float"},"ph":{"type":"float"},"ph_24h":{"type":"float"},"pm10":{"type":"float"},"pm10_24h":{"type":"float"},"pm10_24h_iaqi":{"type":"long"},"pm10_iaqi":{"type":"long"},"pm25":{"type":"float"},"pm2_5":{"type":"float"},"pm2_5_24h":{"type":"float"},"pm2_5_24h_iaqi":{"type":"long"},"pm2_5_iaqi":{"type":"long"},"primaryPollutant":{"type":"text","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"rainfall":{"type":"float"},"runtime":{"type":"float"},"so2":{"type":"float"},"so2_24h":{"type":"float"},"so2_24h_iaqi":{"type":"long"},"so2_iaqi":{"type":"long"},"speed":{"type":"float"},"tds":{"type":"float"},"tds_24h":{"type":"float"},"temp":{"type":"float"},"temp_24h":{"type":"float"},"temperature":{"type":"float"},"total":{"type":"float"},"turb":{"type":"float"},"turb_24h":{"type":"float"},"vocs":{"type":"float"},"vocs_24h":{"type":"float"},"voltage":{"type":"float"},"waterLevel":{"type":"float"},"wqLevel":{"type":"text","fields":{"keyword":{"type":"keyword","ignore_above":256}}},"x":{"type":"float"},"y":{"type":"float"},"z":{"type":"float"}}},"date":{"type":"date"},"method":{"type":"keyword"},"sensor":{"type":"long"},"type":{"type":"keyword"}}}}}
			`@ -0,0 +1 @@`
			`{"settings":{"index":{"refresh_interval":"300s","number_of_shards":"1","number_of_replicas":0,"translog":{"sync_interval":"60s","durability":"async"}}},"mappings":{"_doc":{"dynamic":"false","_all":{"enabled":false},"properties":{"collect_time":{"type":"date","format":"date_time \|\| yyyy-MM-dd HH:mm:ss"},"data":{"type":"text","norms":false,"fields":{"keyword":{"type":"keyword","ignore_above":512}}},"iota_device":{"type":"keyword"}}}}}`