Barber Appointment Scheduling App

The application allows the registration of barbers and customers. Customers can appointment schedules with available barbers, and barbers can see a summary of the day's schedules.

The software was developed using the Model–View–Controller (MVC) architectural pattern. The technologies of the Backend side are: Node.js, Express and a PostgreSQL database with Sequelize ORM. The templating engine Nunjucks was used on views. The profile pictures and the session informations are stored locally. The profile pictures are stored by the middleware Multer.

Screenshots

Environment configuration

Database configuration

First of all you must have a PostgreSQL database available.

In development environment I suggest using the Docker container image kartoza/postgis. Just run the following command:

docker run --name database -p 5432:5432 -d -t kartoza/postgis

Replace database with the name you prefer.

After that, it is necessary to create the database Schema in PostgreSQL. If you are using a Docker instance as suggested above, the credentials are as follows:

Key	Value
Host	localhost
Port	5432
User	docker
Password	docker

Environment variables

After the database configuration, you must set the environment variables. Create a file called .env at the root of the project, using the data from the .env.example file as a base. Be sure to enter a session name and a session secret, these values ​​are used to store the user's session at the moment he logs in to the application. Database informations must be populated according to the configuration mentioned above. Follow an example:

NODE_ENV=development

PORT=3000

SESSION_NAME=root
SESSION_SECRET=MySecret

DATABASE_HOST=127.0.0.1
DATABASE_NAME=mydatabase
DATABASE_USERNAME=docker
DATABASE_PASSWORD=docker

Migrations

Now, you must run the migrations in order to create the tables in the database. Run the following command:

npx sequelize db:migrate

Install dependencies

Finally, just install all project dependencies and start the application with the following commands:

yarn install

yarn start

You can access the application according to the port set in the environment variables, for example:

http://localhost:3000/