Panel

title	Goal`

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In this tutorial you learn how to :

Create model of the informations from your sensors.
Create organs representing yours sensors.
Launch your organs with efficiency.

System architecture:

Panel

title	Requirements

For this tutorial, you just need the basic requirements

Panel

title	Create the models

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In this part you’re going to create two sensor model:

Sensor, a complex model with 4 attributes:
- id : unique int
- name : string
- hydrometry : int
- temperature : int
sensorList, a model with 1 attribute:
- sensors : []

Sensor and sensorList model

Create a new spinal-system with the browser-admin template like it’s explained in the in the section Creating a new Spinal System in the Getting Started tutorial.
Create a folder spinal-model to store the differents models. Within this folder create a file models.js.
Complete the file model.js

Create the sensor model.
Extend the sensor model with the Model of spinal-core.
Export the sensor model
Create the sensor list.
Extend the sensor list with the Model of spinal-core.
Export the sensor list.

Your model file should look like this:

spinal-model/model.js

Code Block

language	js
theme	DJango
title	models.js
linenumbers	true

const spinalCore = require("spinal-core-connectorjs");

// Sensor model
function Sensor() {
    Sensor.super(this);
    // add attributes to the model
    this.add_attr({
        id: 0,
        name: "",
        hydrometry: 0,
        temperature: 0,
    });
}
// Sensor inherit of model
spinalCore.extend(Sensor, Model);
module.exports.Sensor = Sensor;


// SensorList model
function SensorList() {
    SensorList.super(this);
// Array of equipments
    this.add_attr({
        sensors: []
    });
}
// SensorList inherit of model
spinalCore.extend(SensorList, Model);
module.exports.SensorList = SensorList;

Panel

title	Create a list of 2 Sensor

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	3
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In this part your are going to create a list of 2 sensors.

Every sensor will have its own organ.

Each one of those will have an automate which will change its hydrometry and temperature.

create a list of two sensor:

Create a new folder sensor1 and within a file named index.js.
Require spinal-core.
Get the connection string from config.js.
Create a function addItem. This function create, set and add an item to the list given in argument.
Create a function simulate. This function simulate the value of the sensor.
Create a function onSuccess. this function will be executed if the loading of ‘List’ is successful. For this part you to add an element to the list if the list is empty and simulate the data of this element this element.
Create a function onFaill. this function will be executed if the loading of ‘List’ fail. For this part if the loading fail you want to create a new list and store it into spinal-core.
Load list from spinal-core.
Copy paste this folder into sensor2 and do the appropriate modification in index.js .

Panel

title	Note

If you have and API to retrieve the real data of your sensor use it to send real data to the graph.
You can run every sensor independently by running the corresponding index.js (node index.js)

Your file sensor1/index.js should look like this.

Code Block

language	js
theme	DJango
title	sensor1/index.js
linenumbers	true

// Requirement and connection
const spinalCore = require('spinal-core-connectorjs');
require('../spinal-model/models.js');
const connection_string = require("../config");
const conn = spinalCore.connect(connection_string);


// Creates a new sensor and add it to the list
addItem = (list) => {
    const item = new Sensor();
    item.id.set(0);
    item.name.set("sensor0");
    list.sensors.push(item);
    simulate(item);
};

// Gives random values to the hydrometry and temperature of a sensor
simulate = (sensor) => {
    const hydro = Math.floor(Math.random() * 100);
    const degrees = Math.floor(Math.random() * 30);

    sensor.hydrometry.set(hydro);
    sensor.temperature.set(degrees);

    // Repeats every second
    setTimeout(() => {
        console.log("sensor 1: data has changed");
        simulate(sensor);
    }, 1000);
};

findIndexById = (id, list) => {
    if (list.sensors.length <= 0)
        return -1;
    let i;
    
    for (i = 0; i < i < list.sensors.length && list.sensors[i].id !== id; i++);

    if (i < list.sensors.length)
        return i;
    else
        return -1;
};

//this function will be called if the list is successfully load
onSuccess = (list) => {
    const index if= findIndexById(0, list.sensors.length < );
    console.log("success 2 : index:", index);
    if (index !== -1)
        addItemsimulate(list.sensors[index]);
    else
    simulate    addItem(list.sensors[0]);
};

//this function will be called if the list is failed to load
onFail = () => {
    const list = new SensorList();
    spinalCore.store(conn, list, "List", () => {
        addItem(list);
    });
};

spinalCore.load(conn, "List", onSuccess, onFail);

Run sensor1 and go to the admin UI and put 'List' into the inspector and you should see the hydrometry and temperature of sensor0 change every second.

Your file sensor2/index.js should look like this.

Code Block

language	js
theme	DJango
title	Sensor2/index.js
linenumbers	true

// Requirement and connection
const spinalCore = require('spinal-core-connectorjs');
require('../spinal-model/models.js');

const connection_string = require("../config");
const conn = spinalCore.connect(connection_string);


// Creates a new sensor and add it to the list
addItem = (list) => {
    const item = new Sensor();
    item.id.set(1);
    item.name.set("sensor1");
    list.sensors.push(item);
    simulate(item);
};

// Gives random values to the hydrometry and temperature of a sensor
simulate = (sensor) => {
    const hydro = Math.floor(Math.random() * 100);
    const degrees = Math.floor(Math.random() * 30);

    sensor.hydrometry.set(hydro);
    sensor.temperature.set(degrees);

    // Repeats every second
    setTimeout(() => {
        console.log("sensor 2: data has changed");
        simulate(sensor);
    }, 1000);
};

findIndexById = (id, list) => {
    if (list.sensors.length <= 0)
        return -1;
    let i;
    for (i = 0; i < i < list.sensors.length && list.sensors[i].id !== id; i++);

    if (i < list.sensors.length)
        return i;
    else
        return -1;
};

//this function will be called if the list is successfully load
onSuccess = (list) => {

    const index if= findIndexById(1, list.sensors.length < 2)
  );
    console.log("success 2 : index:", index);
    if addItem(list);(index !== -1)
        simulate(list.sensors[1index]);
    else
        addItem(list);
};

//this function will be called if the list is failed to load
onFail = () => {
    const list = new SensorList();
    spinalCore.store(conn, list, "List", () => {
        addItem(list);
    });
};
//  Tries to load
'List'
spinalCore.load(conn, "List", onSuccess, onFail);

Panel

title	Launch efficiently your organs

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	4
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You might have noticed that running every organ independently is painful.

If you wonder why it’s so painful it’s because you are not supposed to do that :p.

In this part you will learn a to run you organs efficiently.

Take a look at .app.json
add dependency to your organs.
1. name: The name they will be identified by pm2
2. script: The name of the script to be executed to launch the organ
3. cwd: The location of the script (relative to the root of the project)
run the commande pm2 start launch.config.json.

.apps.json contains the organs that should be launched. They are identified by:

name: The name they will be identified by pm2
script: The name of the script to be executed to launch the organ
cwd: The location of the script (relative to the root of the project)

Your .app.json should look like this:

Code Block

language	js
theme	DJango
linenumbers	true

{
  "apps": [
    {
      "name": "spinal-core-hub",
      "script": "spinalhub.js",
      "cwd": "./nerve-center/"
    },
    {
      "name": "sensor1",
      "script": "index.js",
      "cwd": "./sensor1/"
    },
    {
      "name": "sensor2",
      "script": "index.js",
      "cwd": "./sensor2/"
    }
  ]
}

pm2 will now show you sensor 1 and 2 along with spinal-core-hub.

Conclusion

In this tutorial you learned:

how to create complex models
how to organize your data coming from multiple organs
how to launch you your organs effectively

This tutorial will be continued in Basic Automate Tutorial.

...

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Versions Compared

Old Version 41

New Version 42

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Table of contents

Quick navigation

System architecture:

Conclusion