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GettingStarted.postman_collection
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GettingStarted.postman_collection
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{
"info": {
"_postman_id": "36e4779f-4f5e-4fce-b804-88bab1bdb3a6",
"name": "Getting Started",
"description": "This Postman Collection is created with the purpose of introducing people that landed to the [Dockerized Micro-Services for Maximally Flexible SaaS that Enable Timely Responses to Unforeseen Events in Geo-Distributed Semi-Autonomous Multi-Agent Systems for Reconfigurable Manufacturing and more](https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service) GitHub repository for the first time to the functionalities that are offered by the software artifacts there contained. Going through this collection, you will also learn about the flexibility of that software, and the many ways how you can easily customize it to make it suitable for your specific purposes.\n\nWhat we will do specifically for demonstrative purposes in this API collection is to create, configure, and operate a simple alerting system. First, we will use a pre-configured threshold. Then, we will use a clustering model. In end, we will also add a simple Web user interface. All of this will be done from scratch, through a sequence of appropriate API requests.",
"schema": "https://schema.getpostman.com/json/collection/v2.1.0/collection.json",
"_exporter_id": "16531967"
},
"item": [
{
"name": "Instantiate Network Factory",
"item": [
{
"name": "0.1) Pull Network Factory Image",
"request": {
"method": "POST",
"header": [],
"url": {
"raw": "{{DockerHost}}:2375/images/create?fromImage=msoderi/network-factory&tag=0.10",
"host": [
"{{DockerHost}}"
],
"port": "2375",
"path": [
"images",
"create"
],
"query": [
{
"key": "fromImage",
"value": "msoderi/network-factory"
},
{
"key": "tag",
"value": "0.10"
}
]
},
"description": "Thanks to this request, the msoderi/network-factory Docker Image becomes available in your local Docker installation, or in the specified DockerHost, if different from the default (localhost). The image is retrieved from Docker Hub."
},
"response": [
{
"name": "0.1) Pull Network Factory Image",
"originalRequest": {
"method": "POST",
"header": [],
"url": {
"raw": "localhost:2375/images/create?fromImage=msoderi/network-factory&tag=0.10",
"host": [
"localhost"
],
"port": "2375",
"path": [
"images",
"create"
],
"query": [
{
"key": "fromImage",
"value": "msoderi/network-factory"
},
{
"key": "tag",
"value": "0.10"
}
]
}
},
"status": "OK",
"code": 200,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Api-Version",
"value": "1.41"
},
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 13:10:51 GMT"
},
{
"key": "Docker-Experimental",
"value": "false"
},
{
"key": "Ostype",
"value": "linux"
},
{
"key": "Server",
"value": "Docker/20.10.17 (linux)"
},
{
"key": "Transfer-Encoding",
"value": "chunked"
}
],
"cookie": [],
"body": "{\"status\":\"Pulling from msoderi/network-factory\",\"id\":\"0.10\"}\r\n{\"status\":\"Digest: sha256:e76f8ed03877a6427081e992d5505c853fc39dd3d77b9decc208035bd897a0bb\"}\r\n{\"status\":\"Status: Image is up to date for msoderi/network-factory:0.10\"}\r\n"
}
]
},
{
"name": "0.2) Create Network Factory",
"request": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": " {\r\n \"Image\": \"msoderi/network-factory:0.10\",\r\n \"HostConfig\": {\r\n \"PortBindings\": {\r\n \"1880/tcp\": [\r\n {\r\n \"HostPort\": \"585\"\r\n }\r\n ]\r\n }\r\n },\r\n \"ExposedPorts\": {\r\n \"1880/tcp\": {}\r\n }\r\n }",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "{{DockerHost}}:2375/containers/create?name=GettingStartedFactory",
"host": [
"{{DockerHost}}"
],
"port": "2375",
"path": [
"containers",
"create"
],
"query": [
{
"key": "name",
"value": "GettingStartedFactory"
}
]
},
"description": "Through this request, you create a Docker container from the msoderi/network-factory Docker Image. The container is created on DockerHost, which is your localhost, unless otherwise specified."
},
"response": [
{
"name": "0.2) Create Network Factory",
"originalRequest": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": " {\r\n \"Image\": \"msoderi/network-factory:0.10\",\r\n \"HostConfig\": {\r\n \"PortBindings\": {\r\n \"1880/tcp\": [\r\n {\r\n \"HostPort\": \"585\"\r\n }\r\n ]\r\n }\r\n },\r\n \"ExposedPorts\": {\r\n \"1880/tcp\": {}\r\n }\r\n }",
"options": {
"raw": {
"language": "json"
}
}
},
"url": {
"raw": "localhost:2375/containers/create?name=GettingStartedFactory",
"host": [
"localhost"
],
"port": "2375",
"path": [
"containers",
"create"
],
"query": [
{
"key": "name",
"value": "GettingStartedFactory"
}
]
}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "Api-Version",
"value": "1.41"
},
{
"key": "Content-Type",
"value": "application/json"
},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 13:18:06 GMT"
},
{
"key": "Docker-Experimental",
"value": "false"
},
{
"key": "Ostype",
"value": "linux"
},
{
"key": "Server",
"value": "Docker/20.10.17 (linux)"
},
{
"key": "Transfer-Encoding",
"value": "chunked"
}
],
"cookie": [],
"body": "{\n \"Id\": \"77e9f69835c7501aca36d4ed4ed1aa5f88a458a21feb2f55aa7215758df59281\",\n \"Warnings\": []\n}"
}
]
},
{
"name": "0.3) Start Network Factory",
"request": {
"method": "POST",
"header": [],
"url": {
"raw": "{{DockerHost}}:2375/containers/GettingStartedFactory/start",
"host": [
"{{DockerHost}}"
],
"port": "2375",
"path": [
"containers",
"GettingStartedFactory",
"start"
]
},
"description": "Through this request, you start the Docker container you created through request 0.2, and have a Network Factory up and running in your target device, which is by default your local device."
},
"response": [
{
"name": "0.3) Start Network Factory",
"originalRequest": {
"method": "POST",
"header": [],
"url": {
"raw": "{{DockerHost}}:2375/containers/GettingStartedFactory/start",
"host": [
"{{DockerHost}}"
],
"port": "2375",
"path": [
"containers",
"GettingStartedFactory",
"start"
]
}
},
"status": "No Content",
"code": 204,
"_postman_previewlanguage": "plain",
"header": [
{
"key": "Api-Version",
"value": "1.41"
},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 13:26:49 GMT"
},
{
"key": "Docker-Experimental",
"value": "false"
},
{
"key": "Ostype",
"value": "linux"
},
{
"key": "Server",
"value": "Docker/20.10.17 (linux)"
}
],
"cookie": [],
"body": null
}
]
}
],
"description": "The requests in this folder are for pulling the msoderi/network-factory image from Docker Hub, and then creating and running a container from it. The Network Factory is a Node-RED application. Having a running container of the Network Factory in a device means having the possibility of installing, configuring, and operating arbitrary software on that device from remote, including some notable software components that we will get to know along our way through this getting started collection, such as Service Nodes, Crazy Nodes, Library Nodes, AI Server Nodes, Context Brokers, ACL Nodes, in a secure and reliable manner.\n\n**Customizing the Network Factory**\n\nIf you wish to inspect the implementation and customize the Network Factory, instead of just using the provided Docker Image, do the following:\n\n- Run a Node-RED Docker Container with an associated [Docker Volume](https://docs.docker.com/storage/volumes/) mapped on the path /data\n- [Restore](https://docs.docker.com/storage/volumes/#restore-volume-from-a-backup) the [Network Factory Docker Volume Backup](https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/blob/main/networkfactory.tar) to the Docker Volume associated to your newly created Docker Container\n- Restart your Node-RED container, and connect to its Web interface\n \n\nYou are now free to inspect the Network Factory default implementation.\n\nFeel free to make all necessary modifications, then [backup](https://docs.docker.com/storage/volumes/#back-up-a-volume) the Docker Volume for future usage."
},
{
"name": "Create and Organize Nodes",
"item": [
{
"name": "1) Create Fence",
"request": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/fence/:name",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"fence",
":name"
],
"variable": [
{
"key": "name",
"value": "GettingStarted"
}
]
},
"description": "This request creates a fence (user-defined Docker network) named GettingStarted on the targeted Docker Host."
},
"response": [
{
"name": "1) Create Fence",
"originalRequest": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/fence/:name",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"fence",
":name"
],
"variable": [
{
"key": "name",
"value": "GettingStarted"
}
]
}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "X-Powered-By",
"value": "Express"
},
{
"key": "Access-Control-Allow-Origin",
"value": "*"
},
{
"key": "Content-Type",
"value": "application/json; charset=utf-8"
},
{
"key": "Content-Length",
"value": "87"
},
{
"key": "ETag",
"value": "W/\"57-b+rEcNc+zDXKR7j6wvWY9dTwn8A\""
},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 13:31:53 GMT"
},
{
"key": "Connection",
"value": "keep-alive"
}
],
"cookie": [],
"body": "{\n \"Id\": \"758794fcf933fa1ddeea5e4fda82bbc819ee7bbf86cccde21e27d466cdb5e5fa\",\n \"Warning\": \"\"\n}"
}
]
},
{
"name": "2) Create Service Node ACL",
"request": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/servicenodeacl",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"servicenodeacl"
]
},
"description": "This request creates a placeholder implentation of the access control logic which is relied on by all Service Nodes that will be created for the purposes of this getting started examples. The ACL API is created in the GettingStarted fence (so it is connected to the GettingStarted user-defined Docker network)."
},
"response": [
{
"name": "2) Create Service Node ACL",
"originalRequest": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/servicenodeacl",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"servicenodeacl"
]
}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "X-Powered-By",
"value": "Express"
},
{
"key": "Access-Control-Allow-Origin",
"value": "*"
},
{
"key": "Content-Type",
"value": "application/json; charset=utf-8"
},
{
"key": "Content-Length",
"value": "428"
},
{
"key": "ETag",
"value": "W/\"1ac-eH0zc211hO6mggyEpOXNoeROm1k\""
},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 15:28:39 GMT"
},
{
"key": "Connection",
"value": "keep-alive"
}
],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"ServiceNodeDefaultACL\",\n \"image\": \"nodered/node-red:latest\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/servicenodeacl.tar\",\n \"ports\": {},\n \"env\": [],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/data\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "3) Create Transformation Library",
"request": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/transformationlibrary",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"transformationlibrary"
]
},
"description": "This request creates a default Transformation Library, which is used by all Service Nodes that will be created for the purposes of these getting started examples. The library is created in the GettingStarted fence (so it is connected to the GettingStarted user-defined Docker network).\n\nEndFragment"
},
"response": [
{
"name": "3) Create Transformation Library",
"originalRequest": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/transformationlibrary",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"transformationlibrary"
]
}
},
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"code": 201,
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],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"DefaultTransformationLibrary\",\n \"image\": \"nodered/node-red:latest\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/transformationlibrary.tar\",\n \"ports\": {\n \"1880/tcp\": \"1880\"\n },\n \"env\": [],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/data\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "4) Create MQTT Broker ACL",
"request": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/brokeracl",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"brokeracl"
]
},
"description": "This requests create a placeholder implementation the access control logic which is relied on by the EMQX MQTT broker instance that will be created for the purposes of this getting started examples. The ACL API is created in the GettingStarted fence."
},
"response": [
{
"name": "4) Create MQTT Broker ACL",
"originalRequest": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/brokeracl",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"brokeracl"
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}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
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},
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"key": "Connection",
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],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"MqttBrokerDefaultACL\",\n \"image\": \"nodered/node-red:latest\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/brokeracl.tar\",\n \"ports\": {},\n \"env\": [],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/data\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "5) Create MQTT Broker",
"request": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/broker",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"broker"
]
},
"description": "Through this request, an instance of the EMQX MQTT broker is created in the GettingStarted fence. The broker is used for data exchange among the Service Nodes that are used for these getting started examples."
},
"response": [
{
"name": "5) Create MQTT Broker",
"originalRequest": {
"method": "POST",
"header": [],
"body": {
"mode": "raw",
"raw": ""
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/broker",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"broker"
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}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "X-Powered-By",
"value": "Express"
},
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"key": "Access-Control-Allow-Origin",
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"key": "Content-Type",
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},
{
"key": "Connection",
"value": "keep-alive"
}
],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"DefaultMqttBroker\",\n \"image\": \"emqx/emqx:4.3.2\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/mqttbroker.tar\",\n \"ports\": {},\n \"env\": [],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/opt/emqx\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "6) Create RDB",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\r\n \"name\": \"AlertDatabase\",\r\n \"image\": \"mariadb:latest\",\r\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/docker-entrypoint-initdb.d.tar\",\r\n \"env\": [ \"MYSQL_ROOT_PASSWORD=root\" ]\r\n}"
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/app",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"app"
]
},
"description": "This request demonstrates that arbitrary software can be created through the Network Factory. In this case, we create a dockerized MariaDB RDBMS instance, we retrieve from the Web and preload the SQL script that will be executed automatically at server startup and that will create the RDB schema that is needed for the purposes of these getting started examples, and we set the root password as an environment variable, according to the official mariadb Docker Image specification."
},
"response": [
{
"name": "6) Create RDB",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\r\n \"name\": \"AlertDatabase\",\r\n \"image\": \"mariadb:latest\",\r\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/docker-entrypoint-initdb.d.tar\",\r\n \"env\": [ \"MYSQL_ROOT_PASSWORD=root\" ]\r\n}"
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/app",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
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}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "X-Powered-By",
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"key": "Content-Type",
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"key": "Content-Length",
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"key": "ETag",
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{
"key": "Date",
"value": "Sat, 21 Jan 2023 00:54:59 GMT"
},
{
"key": "Connection",
"value": "keep-alive"
}
],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"AlertDatabase\",\n \"image\": \"mariadb:latest\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/docker-entrypoint-initdb.d.tar\",\n \"ports\": {},\n \"env\": [\n \"MYSQL_ROOT_PASSWORD=root\"\n ],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/home\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "7) Create Dbtail Service Node",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\r\n \"name\": \"DbtailSN\",\r\n \"ports\": {\r\n \"1880/tcp\": \"1993\"\r\n },\r\n \"env\": [\r\n \"CFG_ACL_ENDP=https://ServiceNodeDefaultACL:1880/acl\",\r\n \"NRLIB_ENDP=https://DefaultTransformationLibrary:1880/\"\r\n ]\r\n}"
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/servicenode",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"servicenode"
]
},
"description": "In this request the DbtailSN Service Node is created in the GettingStarted fence. The default Node-RED Web interface port, 1880, is explicitly mapped to port number 1993, so that it will be possible to access the Web interface, and most important, to make requests to the configuration APIs implemented in the node, by connecting to the Docker Host (by default, localhost) on port 1993. This is the way how software components created in a fence are made accessible from the external. The URLs of the ACL API to be used by the node (CFG_ACL_ENDP), and of the Transformation Library (NRLIB_ENDP), are configured as environment variables. The node is not configured, so it is running but it executes nothing, and is connected to nothing. It will be configured in the following of this getting started collection."
},
"response": [
{
"name": "7) Create Dbtail Service Node",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\r\n \"name\": \"DbtailSN\",\r\n \"ports\": {\r\n \"1880/tcp\": \"1993\"\r\n },\r\n \"env\": [\r\n \"CFG_ACL_ENDP=https://ServiceNodeDefaultACL:1880/acl\",\r\n \"NRLIB_ENDP=https://DefaultTransformationLibrary:1880/\"\r\n ]\r\n}"
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/servicenode",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"servicenode"
]
}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "X-Powered-By",
"value": "Express"
},
{
"key": "Access-Control-Allow-Origin",
"value": "*"
},
{
"key": "Content-Type",
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"key": "ETag",
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},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 15:34:16 GMT"
},
{
"key": "Connection",
"value": "keep-alive"
}
],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"DbtailSN\",\n \"image\": \"nodered/node-red:latest\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/servicenode.tar\",\n \"ports\": {\n \"1880/tcp\": \"1993\"\n },\n \"env\": [\n \"NRADM_USER=nradm\",\n \"NRADM_PASS=nradmpass\",\n \"CFG_ACL_ENDP=https://ServiceNodeDefaultACL:1880/acl\",\n \"CFG_ACL_CACE=/data/ca.pem\",\n \"NRLIB_ENDP=https://DefaultTransformationLibrary:1880/\",\n \"NRLIB_USER=nruser\",\n \"NRLIB_PASS=nrpass\",\n \"NRLIB_CACE=/data/ca.pem\",\n \"AISRV_ENDP=https://host.docker.internal:8080/nodes\",\n \"AISRV_CACE=/data/ca.pem\"\n ],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/data\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "8) Create Expr Service Node",
"request": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\r\n \"name\": \"ExprSN\",\r\n \"ports\": {\r\n \"1880/tcp\": \"1994\"\r\n },\r\n \"env\": [\r\n \"CFG_ACL_ENDP=https://ServiceNodeDefaultACL:1880/acl\",\r\n \"NRLIB_ENDP=https://DefaultTransformationLibrary:1880/\"\r\n ]\r\n}"
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/servicenode",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
"GettingStarted",
"servicenode"
]
},
"description": "In this request the ExprSN Service Node is created in the GettingStarted fence. The default Node-RED Web interface port, 1880, is explicitly mapped to port number 1994, so that it will be possible to access the Web interface, and most important, to make requests to the configuration APIs implemented in the node, by connecting to the Docker Host (by default, localhost) on port 1994. This is the way how software components created in a fence are made accessible from the external. The URLs of the ACL API to be used by the node (CFG_ACL_ENDP), and of the Transformation Library (NRLIB_ENDP), are configured as environment variables. The node is not configured, so it is running but it executes nothing, and is connected to nothing. It will be configured in the following of this getting started collection."
},
"response": [
{
"name": "8) Create Expr Service Node",
"originalRequest": {
"method": "POST",
"header": [
{
"key": "Content-Type",
"value": "application/json"
}
],
"body": {
"mode": "raw",
"raw": "{\r\n \"name\": \"ExprSN\",\r\n \"ports\": {\r\n \"1880/tcp\": \"1994\"\r\n },\r\n \"env\": [\r\n \"CFG_ACL_ENDP=https://ServiceNodeDefaultACL:1880/acl\",\r\n \"NRLIB_ENDP=https://DefaultTransformationLibrary:1880/\"\r\n ]\r\n}"
},
"url": {
"raw": "https://{{DockerHost}}:585/GettingStarted/servicenode",
"protocol": "https",
"host": [
"{{DockerHost}}"
],
"port": "585",
"path": [
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}
},
"status": "Created",
"code": 201,
"_postman_previewlanguage": "json",
"header": [
{
"key": "X-Powered-By",
"value": "Express"
},
{
"key": "Access-Control-Allow-Origin",
"value": "*"
},
{
"key": "Content-Type",
"value": "application/json; charset=utf-8"
},
{
"key": "Content-Length",
"value": "751"
},
{
"key": "ETag",
"value": "W/\"2ef-wYFRtm4RMJ6tLsSW0CqIzt9CpS8\""
},
{
"key": "Date",
"value": "Fri, 20 Jan 2023 15:38:33 GMT"
},
{
"key": "Connection",
"value": "keep-alive"
}
],
"cookie": [],
"body": "{\n \"engine\": \"http://host.docker.internal:2375\",\n \"fence\": \"GettingStarted\",\n \"name\": \"ExprSN\",\n \"image\": \"nodered/node-red:latest\",\n \"artifacts\": \"https://github.com/mircosoderi/State-of-the-art-Artifacts-for-Big-Data-Engineering-and-Analytics-as-a-Service/raw/main/servicenode.tar\",\n \"ports\": {\n \"1880/tcp\": \"1994\"\n },\n \"env\": [\n \"NRADM_USER=nradm\",\n \"NRADM_PASS=nradmpass\",\n \"CFG_ACL_ENDP=https://ServiceNodeDefaultACL:1880/acl\",\n \"CFG_ACL_CACE=/data/ca.pem\",\n \"NRLIB_ENDP=https://DefaultTransformationLibrary:1880/\",\n \"NRLIB_USER=nruser\",\n \"NRLIB_PASS=nrpass\",\n \"NRLIB_CACE=/data/ca.pem\",\n \"AISRV_ENDP=https://host.docker.internal:8080/nodes\",\n \"AISRV_CACE=/data/ca.pem\"\n ],\n \"advanced\": {\n \"volume\": {},\n \"mountTarget\": \"/data\",\n \"container\": {},\n \"connect\": {},\n \"start\": {\n \"detachKeys\": \"\"\n },\n \"authentication\": {}\n }\n}"
}
]
},
{
"name": "9) Create Filter Service Node",