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Habitat is a simple web server API for storing and retrieving environmental measurements from IoT sensors

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Habitat

Habitat is a light-weight web server with APIs to POST and GET sensor data. It’s built with Express and uses PostgreSQL as a database.

Installation

Clone the repository to your machine:

$ git clone https://github.com/RhettTrickett/habitat.git

and install the dependencies:

$ npm install

In addition to the above you’ll need to have PostgreSQL installed on your machine. You can find installation instructions for various platforms here.

Set up

Database

Habitat can automatically set up its database and tables but it needs a PostgreSQL user to own this database. With PostgreSQL installed you can create a new user with this command:

$ createuser -P username

Next run the command below. It will ask you for a name for your database as well as the username and password for the user you’ve created above.

$ npm run setupdb

This script will do the following:

  • Create a .env file with the database name, user and password you’ve just provided. Express will then use these details to connect to the database when it needs to insert or retrieve data.
  • Create a new database and set the user you’ve provided as the owner
  • Create the required users, sensors and measurements tables in the database

Create a Habitat admin user

You’ll need an admin user make authenticated calls to the API:

$ npm run createadmin

Create a sensor

You need to include a sensor_id when you log temperature and humidity readings to Habitat, so you can create one like this:

$ npm run createsensor

API

Hostname

The examples below use the localhost hostname when making requests. This will work if you are making requests from the same device you are running Habitat on. However, if you’re making a request from one (client) device to another (server) on a private network, the request must be made to the server’s IP address within the network.

You can determine the IP address for a device on a network by running a command from its command-line: On Linux run hostname -I. On Mac OS, run ipconfig getifaddr en. On Windows, run ipconfig and look for the value labelled IPv4 address.

Once you have this, replace localhost in the request examples below with the IP address of the target device. So http://localhost:3000/measurements/ would become http://<ip_address>:3000/measurements/.

Record a sensor reading

To record a sensor reading you can make a POST request with Basic Authentication to the /measurements/ endpoint with the following JSON body:

{
  "sensor_id": 1,
  "celcius": 21.4,
  "humidity": 32.4
}

celcius and humidity measurements are supported out of the box, you can also add support for more measurement types. See Custom measurement fields lower down for details.

You must include a sensor_id field for a valid sensor in the database when recording measurements. You can create a new sensor by running npm run createsensor from the command-line in the root of the project.

Here is an example of a curl request that you can make from the command-line:

$ curl -u username:password \
        --header "Content-Type: application/json" \
        --request POST \
        --data '{"sensor_id":1 ,"celcius":21.4, "humidity": 32.4}' \
        http://localhost:3000/measurements/

Get latest reading

You can get the latest reading from the database by making a GET request with Basic Authentication to the /measurements/latest/ endpoint. Here is a curl example:

$ curl -u username:password \
        http://localhost:3000/measurements/ | json_pp

You can also use limit and order query parameters like this: ?limit=10&order=asc

Custom measurement fields

If you’d like to support additional measurement types, you can add new columns to the measurements database and then include these fields in your POST request JSON. Here’s how you could add support for Fahrenheit temperatures.

Connect to the database from the command-line using the psql client:

$ psql dbname

Enter the following SQL query to alter the table and add a Fahrenheit column. You can set whatever data types and constraints you’d like:

ALTER TABLE measurements ADD COLUMN fahrenheit FLOAT;

Now you can include a fahrenheit in your POST requests:

{
  "sensor_id": 1,
  "fahrenheit": 70.5,
  "celcius": 21.4,
  "humidity": 32.4
}

Contributions

This is currently a simple project with much that can be improved. Any contributions are welcome.

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