Database

Beauty Sallon App – MongoDB Database Design

devtechtutor.com
devtechtutor.com
01/07/2024
Updated on 01/07/2024
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The beauty and wellness industry is rapidly evolving, and the demand for digital solutions that streamline operations and enhance customer experiences is at an all-time high. In this context, a comprehensive beauty salon application can significantly benefit both customers and salon owners by providing a seamless, integrated platform for booking services, managing appointments, and more. This article outlines the database design for such an application using MongoDB, including detailed explanations of the ER (Entity-Relationship) and EVA (Entity-Value-Attribute) diagrams, relationships, entities, and attributes.

Purpose

The primary purpose of this article is to serve as a comprehensive guide for designing the backend of a beauty salon application. By following this guide, developers can ensure a robust and scalable database structure that supports the application’s core functionalities. The design aims to cater to the needs of various user roles, including customers, salon owners, and administrators, providing them with tailored features and efficient data management.

Scope

This documentation covers:

  • Entity Definitions: Detailed descriptions of entities involved in the application.
  • Attribute Specifications: Attributes associated with each entity.
  • Relationships: How entities relate to each other.
  • Diagrams: Visual representations of the database design through ER and EVA diagrams.
  • Modular Development Approach: A step-by-step guide for implementing the application in modules, ensuring a clear and organized development process.

Features Breakdown

The application is divided into three main panels, each with specific features:

  1. Customer Panel:

    • User Registration
    • Selecting Services
    • Viewing Profiles of Beauticians or Salon Professionals
    • Booking Appointments
    • Secure Payment Methods
    • Rating and Reviewing Salons and Experts
    • Subscription Models
    • In-app Chat

  2. Owner Panel:

    • Salon Registration
    • Digital Catalog of Services
    • Managing Appointment Requests
    • Adding and Managing Professional Profiles
    • Viewing Service History

  3. Admin Panel:

    • Managing User, Stylist, and Salon Profiles
    • Approving or Disapproving Registrations
    • Payment Management
    • Generating Revenue through Ads, Subscriptions, and Promotions

Revenue Model

The revenue generation for the salon app involves multiple strategies to ensure profitability and business growth. These strategies include:

  • Prominent Listings for enhanced visibility.
  • Commission Fees for transactions facilitated through the app.
  • Subscription Packages offering monthly services and reward points.
  • Advertisements within the app.
  • Subscription Fees for discounted services.

This article focuses on the backend implementation using MongoDB, providing a detailed database design to support the application’s functionalities. By following the outlined design and modular approach, developers can create a scalable and efficient beauty salon application tailored to the industry’s needs

Module 1: User Registration and Authentication

Description

The first module focuses on implementing the user registration and authentication functionality. This module is essential for establishing a secure and user-friendly foundation for the application. It allows users to sign up, log in, and manage their accounts securely.

Features

  • User Registration: Users can sign up by providing basic details such as name, email, password, and phone number.
  • Login and Logout: Users can log in with their registered email and password and log out when done.
  • Password Encryption: User passwords are securely encrypted before being stored in the database.
  • Profile Management: Users can update their profile information.

Entities and Attributes

  1. User
    • user_id: Unique identifier (auto-generated).
    • name: Full name of the user.
    • email: Email address (used for login).
    • password: Encrypted password.
    • phone: Contact number.
    • address: Residential address (optional).
    • created_at: Timestamp of account creation.
    • updated_at: Timestamp of last profile update.

ER Diagram

[User]
| user_id: ObjectId
| name: String
| email: String
| password: String
| phone: String
| address: String
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the users collection will follow this structure:

{
  "_id": ObjectId("..."),
  "name": "John Doe",
  "email": "john@example.com",
  "password": "hashed_password",
  "phone": "1234567890",
  "address": "123 Main St, City, Country",
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Install MongoDB and set up a new database named beauty_salon.
    • Create a collection named users for storing user information.

  2. User Registration API

    • Endpoint: /api/register
    • Method: POST
    • Request Body
{
  "name": "John Doe",
  "email": "john@example.com",
  "password": "password123",
  "phone": "1234567890",
  "address": "123 Main St, City, Country"
}

Response

{
  "message": "User registered successfully",
  "user_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Encrypt the password using a secure hashing algorithm (e.g., bcrypt).
      3. Insert the user data into the users collection.
      4. Return a success message with the user_id.

  • User Login API

    • Endpoint: /api/login
    • Method: POST
    • Request Body:
{
  "email": "john@example.com",
  "password": "password123"
}

Response

{
  "message": "Login successful",
  "user_id": "ObjectId('...')",
  "token": "jwt_token"
}
    • Steps:
      1. Validate the input data.
      2. Check if the email exists in the users collection.
      3. Compare the provided password with the stored encrypted password.
      4. Generate a JWT token for session management.
      5. Return a success message with the user_id and token.

  • User Profile Management API

    • Endpoint: /api/user/:id
    • Method: PUT
    • Request Body
{
  "name": "John Doe",
  "phone": "1234567890",
  "address": "123 Main St, City, Country"
}

Response

{
  "message": "Profile updated successfully"
}
    • Steps:
      1. Validate the input data.
      2. Update the user data in the users collection using the user_id.
      3. Return a success message.

By completing this module, the foundation for user management within the beauty salon application is established, ensuring secure and efficient handling of user data. This sets the stage for implementing additional functionalities in subsequent modules.

Module 2: Service Management

Description

The second module focuses on managing the services offered by salons. This module allows salon owners to add, update, and delete services. It also provides functionality for users to view service details. Efficient service management is crucial for providing a seamless booking experience for users and ensuring that salon owners can keep their service offerings up to date.

Features

  • Add Service: Allows salon owners to add new services.
  • Update Service: Enables salon owners to update existing service details.
  • Delete Service: Permits salon owners to remove services.
  • View Service: Allows users to view details of available services.

Entities and Attributes

  1. Service
    • service_id: Unique identifier (auto-generated).
    • salon_id: Reference to the salon offering the service.
    • name: Name of the service.
    • description: Detailed description of the service.
    • price: Price of the service.
    • duration: Duration of the service (e.g., “30 minutes”).
    • created_at: Timestamp of when the service was added.
    • updated_at: Timestamp of the last update to the service.

ER Diagram

[Service]
| service_id: ObjectId
| salon_id: ObjectId
| name: String
| description: String
| price: Number
| duration: String
| created_at: Date
| updated_at: Date

[Salon]
| salon_id: ObjectId
| name: String
| location: String
| services: [service_id, ...]

Database Schema (EVA)

In MongoDB, the services collection will follow this structure:

{
  "_id": ObjectId("..."),
  "salon_id": ObjectId("..."),
  "name": "Haircut",
  "description": "Basic haircut service",
  "price": 25.00,
  "duration": "30 minutes",
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create a collection named services for storing service information.

  2. Add Service API

    • Endpoint: /api/service
    • Method: POST
    • Request Body:
{
  "salon_id": "ObjectId('...')",
  "name": "Haircut",
  "description": "Basic haircut service",
  "price": 25.00,
  "duration": "30 minutes"
}

Response

The beauty and wellness industry is rapidly evolving, and the demand for digital solutions that streamline operations and enhance customer experiences is at an all-time high. In this context, a comprehensive beauty salon application can significantly benefit both customers and salon owners by providing a seamless, integrated platform for booking services, managing appointments, and more. This article outlines the database design for such an application using MongoDB, including detailed explanations of the ER (Entity-Relationship) and EVA (Entity-Value-Attribute) diagrams, relationships, entities, and attributes.

Purpose

The primary purpose of this article is to serve as a comprehensive guide for designing the backend of a beauty salon application. By following this guide, developers can ensure a robust and scalable database structure that supports the application’s core functionalities. The design aims to cater to the needs of various user roles, including customers, salon owners, and administrators, providing them with tailored features and efficient data management.

Scope

This documentation covers:

  • Entity Definitions: Detailed descriptions of entities involved in the application.
  • Attribute Specifications: Attributes associated with each entity.
  • Relationships: How entities relate to each other.
  • Diagrams: Visual representations of the database design through ER and EVA diagrams.
  • Modular Development Approach: A step-by-step guide for implementing the application in modules, ensuring a clear and organized development process.

Features Breakdown

The application is divided into three main panels, each with specific features:

  1. Customer Panel:

    • User Registration
    • Selecting Services
    • Viewing Profiles of Beauticians or Salon Professionals
    • Booking Appointments
    • Secure Payment Methods
    • Rating and Reviewing Salons and Experts
    • Subscription Models
    • In-app Chat

  2. Owner Panel:

    • Salon Registration
    • Digital Catalog of Services
    • Managing Appointment Requests
    • Adding and Managing Professional Profiles
    • Viewing Service History

  3. Admin Panel:

    • Managing User, Stylist, and Salon Profiles
    • Approving or Disapproving Registrations
    • Payment Management
    • Generating Revenue through Ads, Subscriptions, and Promotions

Revenue Model

The revenue generation for the salon app involves multiple strategies to ensure profitability and business growth. These strategies include:

  • Prominent Listings for enhanced visibility.
  • Commission Fees for transactions facilitated through the app.
  • Subscription Packages offering monthly services and reward points.
  • Advertisements within the app.
  • Subscription Fees for discounted services.

This article focuses on the backend implementation using MongoDB, providing a detailed database design to support the application’s functionalities. By following the outlined design and modular approach, developers can create a scalable and efficient beauty salon application tailored to the industry’s needs

{
“_id”: ObjectId(“…”),
“user_id”: ObjectId(“…”),
“booking_id”: ObjectId(“…”),
“amount”: 75.00,
“payment_date”: “2023-07-01T11:00:00Z”,
“method”: “credit_card”,
“status”: “completed”,
“created_at”: “2023-07-01T11:00:00Z”,
“updated_at”: “2023-07-01T11:00:00Z”
}

{
  "message": "Service added successfully",
  "service_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the service data into the services collection.
      3. Return a success message with the service_id.

  • Update Service API

    • Endpoint: /api/service/:id
    • Method: PUT
    • Request Body:
{
  "name": "Updated Haircut",
  "description": "Updated description",
  "price": 30.00,
  "duration": "45 minutes"
}

Response

{
  "message": "Service updated successfully"
}
    • Steps:
      1. Validate the input data.
      2. Update the service data in the services collection using the service_id.
      3. Return a success message.

  • Delete Service API

    • Endpoint: /api/service/:id
    • Method: DELETE
    • Response
{
  "message": "Service deleted successfully"
}
    • Steps:
      1. Remove the service data from the services collection using the service_id.
      2. Return a success message.

  • View Service API

    • Endpoint: /api/service/:id
    • Method: GET
    • Response
{
  "service_id": "ObjectId('...')",
  "salon_id": "ObjectId('...')",
  "name": "Haircut",
  "description": "Basic haircut service",
  "price": 25.00,
  "duration": "30 minutes",
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

Steps:

  1. Retrieve the service data from the services collection using the service_id.
  2. Return the service details.

By implementing this module, salon owners can efficiently manage their service offerings, and users can easily view the available services, enhancing the overall user experience within the beauty salon application. This sets a solid foundation for further modules that build on service management.

Module 3: Booking System

The third module focuses on implementing the booking system. This module allows users to request and confirm bookings for various salon services. It also provides functionality for users and salon owners to view booking statuses and manage appointments efficiently. The booking system is crucial for streamlining the service delivery process and ensuring a smooth user experience.

Features

  • Request Booking: Users can request appointments for selected services.
  • Confirm Booking: Salon owners can confirm or reject booking requests.
  • View Booking Status: Users and salon owners can view the status of bookings.
  • Manage Appointments: Salon owners can manage and update appointment details.

Entities and Attributes

  1. Booking
    • booking_id: Unique identifier (auto-generated).
    • user_id: Reference to the user making the booking.
    • service_id: Reference to the service being booked.
    • salon_id: Reference to the salon offering the service.
    • booking_date: Date and time of the booking.
    • status: Booking status (e.g., pending, confirmed, completed).
    • created_at: Timestamp of booking creation.
    • updated_at: Timestamp of the last update to the booking.

ER Diagram

[User] ---< bookings >--- [Booking] ---< services >--- [Service] ---< salons >--- [Salon]

[Booking]
| booking_id: ObjectId
| user_id: ObjectId
| service_id: ObjectId
| salon_id: ObjectId
| booking_date: Date
| status: String
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the bookings collection will follow this structure:

{
  "_id": ObjectId("..."),
  "user_id": ObjectId("..."),
  "service_id": ObjectId("..."),
  "salon_id": ObjectId("..."),
  "booking_date": "2023-07-01T10:00:00Z",
  "status": "pending",
  "created_at": "2023-07-01T09:00:00Z",
  "updated_at": "2023-07-01T09:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create a collection named bookings for storing booking information.

  2. Request Booking API

    • Endpoint: /api/booking
    • Method: POST
    • Request Body:

The beauty and wellness industry is rapidly evolving, and the demand for digital solutions that streamline operations and enhance customer experiences is at an all-time high. In this context, a comprehensive beauty salon application can significantly benefit both customers and salon owners by providing a seamless, integrated platform for booking services, managing appointments, and more. This article outlines the database design for such an application using MongoDB, including detailed explanations of the ER (Entity-Relationship) and EVA (Entity-Value-Attribute) diagrams, relationships, entities, and attributes.

Purpose

The primary purpose of this article is to serve as a comprehensive guide for designing the backend of a beauty salon application. By following this guide, developers can ensure a robust and scalable database structure that supports the application’s core functionalities. The design aims to cater to the needs of various user roles, including customers, salon owners, and administrators, providing them with tailored features and efficient data management.

Scope

This documentation covers:

  • Entity Definitions: Detailed descriptions of entities involved in the application.
  • Attribute Specifications: Attributes associated with each entity.
  • Relationships: How entities relate to each other.
  • Diagrams: Visual representations of the database design through ER and EVA diagrams.
  • Modular Development Approach: A step-by-step guide for implementing the application in modules, ensuring a clear and organized development process.

Features Breakdown

The application is divided into three main panels, each with specific features:

  1. Customer Panel:

    • User Registration
    • Selecting Services
    • Viewing Profiles of Beauticians or Salon Professionals
    • Booking Appointments
    • Secure Payment Methods
    • Rating and Reviewing Salons and Experts
    • Subscription Models
    • In-app Chat

  2. Owner Panel:

    • Salon Registration
    • Digital Catalog of Services
    • Managing Appointment Requests
    • Adding and Managing Professional Profiles
    • Viewing Service History

  3. Admin Panel:

    • Managing User, Stylist, and Salon Profiles
    • Approving or Disapproving Registrations
    • Payment Management
    • Generating Revenue through Ads, Subscriptions, and Promotions

Revenue Model

The revenue generation for the salon app involves multiple strategies to ensure profitability and business growth. These strategies include:

  • Prominent Listings for enhanced visibility.
  • Commission Fees for transactions facilitated through the app.
  • Subscription Packages offering monthly services and reward points.
  • Advertisements within the app.
  • Subscription Fees for discounted services.

This article focuses on the backend implementation using MongoDB, providing a detailed database design to support the application’s functionalities. By following the outlined design and modular approach, developers can create a scalable and efficient beauty salon application tailored to the industry’s needs

The beauty and wellness industry is rapidly evolving, and the demand for digital solutions that streamline operations and enhance customer experiences is at an all-time high. In this context, a comprehensive beauty salon application can significantly benefit both customers and salon owners by providing a seamless, integrated platform for booking services, managing appointments, and more. This article outlines the database design for such an application using MongoDB, including detailed explanations of the ER (Entity-Relationship) and EVA (Entity-Value-Attribute) diagrams, relationships, entities, and attributes.

Purpose

The primary purpose of this article is to serve as a comprehensive guide for designing the backend of a beauty salon application. By following this guide, developers can ensure a robust and scalable database structure that supports the application’s core functionalities. The design aims to cater to the needs of various user roles, including customers, salon owners, and administrators, providing them with tailored features and efficient data management.

Scope

This documentation covers:

  • Entity Definitions: Detailed descriptions of entities involved in the application.
  • Attribute Specifications: Attributes associated with each entity.
  • Relationships: How entities relate to each other.
  • Diagrams: Visual representations of the database design through ER and EVA diagrams.
  • Modular Development Approach: A step-by-step guide for implementing the application in modules, ensuring a clear and organized development process.

Features Breakdown

The application is divided into three main panels, each with specific features:

  1. Customer Panel:

    • User Registration
    • Selecting Services
    • Viewing Profiles of Beauticians or Salon Professionals
    • Booking Appointments
    • Secure Payment Methods
    • Rating and Reviewing Salons and Experts
    • Subscription Models
    • In-app Chat

  2. Owner Panel:

    • Salon Registration
    • Digital Catalog of Services
    • Managing Appointment Requests
    • Adding and Managing Professional Profiles
    • Viewing Service History

  3. Admin Panel:

    • Managing User, Stylist, and Salon Profiles
    • Approving or Disapproving Registrations
    • Payment Management
    • Generating Revenue through Ads, Subscriptions, and Promotions

Revenue Model

The revenue generation for the salon app involves multiple strategies to ensure profitability and business growth. These strategies include:

  • Prominent Listings for enhanced visibility.
  • Commission Fees for transactions facilitated through the app.
  • Subscription Packages offering monthly services and reward points.
  • Advertisements within the app.
  • Subscription Fees for discounted services.

This article focuses on the backend implementation using MongoDB, providing a detailed database design to support the application’s functionalities. By following the outlined design and modular approach, developers can create a scalable and efficient beauty salon application tailored to the industry’s needs

{
  "user_id": "ObjectId('...')",
  "service_id": "ObjectId('...')",
  "salon_id": "ObjectId('...')",
  "booking_date": "2023-07-01T10:00:00Z"
}

Response

{
  "message": "Booking request submitted",
  "booking_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the booking data into the bookings collection with status set to pending.
      3. Return a success message with the booking_id.

  • Confirm Booking API

    • Endpoint: /api/booking/:id/confirm
    • Method: PUT
    • Request Body
{
  "status": "confirmed"
}

Response:

{
  "message": "Booking confirmed"
}
    • Steps:
      1. Validate the input data.
      2. Update the booking status to confirmed in the bookings collection using the booking_id.
      3. Return a success message.

  • View Booking Status API

    • Endpoint: /api/booking/:id
    • Method: GET
    • Response
{
  "booking_id": "ObjectId('...')",
  "user_id": "ObjectId('...')",
  "service_id": "ObjectId('...')",
  "salon_id": "ObjectId('...')",
  "booking_date": "2023-07-01T10:00:00Z",
  "status": "confirmed",
  "created_at": "2023-07-01T09:00:00Z",
  "updated_at": "2023-07-01T09:30:00Z"
}
    • Steps:
      1. Retrieve the booking data from the bookings collection using the booking_id.
      2. Return the booking details.

  • Manage Appointments API

    • Endpoint: /api/booking/:id
    • Method: PUT
    • Request Body
{
  "booking_date": "2023-07-01T11:00:00Z",
  "status": "rescheduled"
}

Response

{
  "message": "Booking updated successfully"
}

Steps:

  1. Validate the input data.
  2. Update the booking data in the bookings collection using the booking_id.
  3. Return a success message.

Module 4: Payment Integration

The fourth module focuses on integrating secure payment methods into the beauty salon application. This module allows users to make payments for their bookings using various payment methods. It also includes functionalities for viewing payment history and managing transactions. Payment integration is crucial for ensuring smooth and secure financial transactions within the application.

Features

  • Process Payments: Allows users to make payments for their bookings.
  • View Payment History: Users can view their payment history.
  • Manage Transactions: Admins can manage and monitor transactions.

Entities and Attributes

  1. Payment
    • payment_id: Unique identifier (auto-generated).
    • user_id: Reference to the user making the payment.
    • booking_id: Reference to the related booking.
    • amount: Amount paid.
    • payment_date: Date and time of the payment.
    • method: Payment method (e.g., credit card, PayPal).
    • status: Payment status (e.g., completed, pending).
    • created_at: Timestamp of payment creation.
    • updated_at: Timestamp of the last update to the payment.

ER Diagram

[User] ---< payments >--- [Payment] ---< bookings >--- [Booking] ---< services >--- [Service] ---< salons >--- [Salon]

[Payment]
| payment_id: ObjectId
| user_id: ObjectId
| booking_id: ObjectId
| amount: Number
| payment_date: Date
| method: String
| status: String
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the payments collection will follow this structure:

{
  "_id": ObjectId("..."),
  "user_id": ObjectId("..."),
  "booking_id": ObjectId("..."),
  "amount": 75.00,
  "payment_date": "2023-07-01T11:00:00Z",
  "method": "credit_card",
  "status": "completed",
  "created_at": "2023-07-01T11:00:00Z",
  "updated_at": "2023-07-01T11:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create a collection named payments for storing payment information.

  2. Process Payment API

    • Endpoint: /api/payment
    • Method: POST
    • Request Body
{
  "user_id": "ObjectId('...')",
  "booking_id": "ObjectId('...')",
  "amount": 75.00,
  "payment_date": "2023-07-01T11:00:00Z",
  "method": "credit_card"
}

Response:

{
  "message": "Payment processed successfully",
  "payment_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Process the payment using a payment gateway (e.g., Stripe, PayPal).
      3. Insert the payment data into the payments collection with status set to completed.
      4. Return a success message with the payment_id.

  • View Payment History API

    • Endpoint: /api/user/:id/payments
    • Method: GET
    • Response
[
  {
    "payment_id": "ObjectId('...')",
    "booking_id": "ObjectId('...')",
    "amount": 75.00,
    "payment_date": "2023-07-01T11:00:00Z",
    "method": "credit_card",
    "status": "completed",
    "created_at": "2023-07-01T11:00:00Z",
    "updated_at": "2023-07-01T11:00:00Z"
  }
]
    • Steps:
      1. Retrieve the payment history for the specified user from the payments collection.
      2. Return the payment details.

  • Manage Transactions API

    • Endpoint: /api/payments
    • Method: GET
    • Response
[
  {
    "payment_id": "ObjectId('...')",
    "user_id": "ObjectId('...')",
    "booking_id": "ObjectId('...')",
    "amount": 75.00,
    "payment_date": "2023-07-01T11:00:00Z",
    "method": "credit_card",
    "status": "completed",
    "created_at": "2023-07-01T11:00:00Z",
    "updated_at": "2023-07-01T11:00:00Z"
  }
]

Steps:

  1. Retrieve all payment transactions from the payments collection.
  2. Return the transaction details.

Module 5: Reviews and Ratings

The fifth module focuses on implementing the reviews and ratings system. This module allows users to rate and review salons and their services. It also provides functionalities for viewing reviews and average ratings. The reviews and ratings system is crucial for maintaining service quality and enhancing user trust.

Features

  • Submit Reviews and Ratings: Users can submit reviews and ratings for salons and services.
  • View Reviews and Ratings: Users can view reviews and average ratings of salons and services.
  • Manage Reviews: Admins can manage and moderate reviews to ensure quality and compliance.

Entities and Attributes

  1. Review
    • review_id: Unique identifier (auto-generated).
    • user_id: Reference to the user submitting the review.
    • salon_id: Reference to the salon being reviewed.
    • rating: Rating score (e.g., 1-5).
    • comment: Review comment.
    • created_at: Timestamp of review creation.
    • updated_at: Timestamp of the last update to the review.

ER Diagram

[User] ---< reviews >--- [Review] ---< salons >--- [Salon]

[Review]
| review_id: ObjectId
| user_id: ObjectId
| salon_id: ObjectId
| rating: Number
| comment: String
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the reviews collection will follow this structure:

{
  "_id": ObjectId("..."),
  "user_id": ObjectId("..."),
  "salon_id": ObjectId("..."),
  "rating": 4.5,
  "comment": "Great service!",
  "created_at": "2023-07-01T11:00:00Z",
  "updated_at": "2023-07-01T11:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create a collection named reviews for storing review information.

  2. Submit Review API

    • Endpoint: /api/review
    • Method: POST
    • Request Body
{
  "user_id": "ObjectId('...')",
  "salon_id": "ObjectId('...')",
  "rating": 4.5,
  "comment": "Great service!"
}

Response:

{
  "message": "Review submitted successfully",
  "review_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the review data into the reviews collection.
      3. Return a success message with the review_id.

  • View Reviews and Ratings API

    • Endpoint: /api/salon/:id/reviews
    • Method: GET
    • Response
[
  {
    "review_id": "ObjectId('...')",
    "user_id": "ObjectId('...')",
    "rating": 4.5,
    "comment": "Great service!",
    "created_at": "2023-07-01T11:00:00Z"
  }
]
    • Steps:
      1. Retrieve reviews for the specified salon from the reviews collection.
      2. Calculate the average rating.
      3. Return the review details and average rating.

  • Manage Reviews API

    • Endpoint: /api/reviews
    • Method: GET
    • Response
[
  {
    "review_id": "ObjectId('...')",
    "user_id": "ObjectId('...')",
    "salon_id": "ObjectId('...')",
    "rating": 4.5,
    "comment": "Great service!",
    "created_at": "2023-07-01T11:00:00Z",
    "updated_at": "2023-07-01T11:00:00Z"
  }
]

Steps:

  1. Retrieve all reviews from the reviews collection.
  2. Return the review details for moderation.

Module 6: Subscription Models

The sixth module focuses on implementing subscription models. This module allows users to purchase and manage subscriptions that offer various benefits, such as discounts on services and priority booking. Subscription models are crucial for providing added value to users and creating a steady revenue stream for the salon.

Features

  • Purchase Subscription: Allows users to purchase subscriptions.
  • Manage Subscriptions: Enables users to view and manage their active subscriptions.
  • Apply Subscription Benefits: Automatically apply subscription benefits during booking and payment processes.

Entities and Attributes

  1. Subscription

    • subscription_id: Unique identifier (auto-generated).
    • name: Name of the subscription plan.
    • price: Price of the subscription.
    • benefits: Array of benefits included in the subscription.
    • duration: Duration of the subscription (e.g., one month, six months).
    • created_at: Timestamp of subscription creation.
    • updated_at: Timestamp of the last update to the subscription.

  2. UserSubscription

    • user_subscription_id: Unique identifier (auto-generated).
    • user_id: Reference to the user who purchased the subscription.
    • subscription_id: Reference to the subscription plan.
    • start_date: Start date of the subscription.
    • end_date: End date of the subscription.
    • status: Subscription status (e.g., active, expired).
    • created_at: Timestamp of subscription purchase.
    • updated_at: Timestamp of the last update to the user subscription.

ER Diagram

[User] ---< user_subscriptions >--- [UserSubscription] ---< subscriptions >--- [Subscription]

[Subscription]
| subscription_id: ObjectId
| name: String
| price: Number
| benefits: Array
| duration: String
| created_at: Date
| updated_at: Date

[UserSubscription]
| user_subscription_id: ObjectId
| user_id: ObjectId
| subscription_id: ObjectId
| start_date: Date
| end_date: Date
| status: String
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the subscriptions and user_subscriptions collections will follow these structures:

subscriptions collection:

{
  "_id": ObjectId("..."),
  "name": "Premium",
  "price": 50.00,
  "benefits": ["Discounts", "Priority Booking"],
  "duration": "one month",
  "created_at": "2023-07-01T11:00:00Z",
  "updated_at": "2023-07-01T11:00:00Z"
}

user_subscriptions collection:

{
  "_id": ObjectId("..."),
  "user_id": ObjectId("..."),
  "subscription_id": ObjectId("..."),
  "start_date": "2023-07-01T11:00:00Z",
  "end_date": "2023-08-01T11:00:00Z",
  "status": "active",
  "created_at": "2023-07-01T11:00:00Z",
  "updated_at": "2023-07-01T11:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create collections named subscriptions and user_subscriptions for storing subscription information.

  2. Purchase Subscription API

    • Endpoint: /api/subscription/purchase
    • Method: POST
    • Request Body
{
  "user_id": "ObjectId('...')",
  "subscription_id": "ObjectId('...')"
}

Response

{
  "message": "Subscription purchased successfully",
  "user_subscription_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Calculate the start_date and end_date based on the subscription duration.
      3. Insert the user subscription data into the user_subscriptions collection.
      4. Return a success message with the user_subscription_id.

  • Manage Subscriptions API

    • Endpoint: /api/user/:id/subscriptions
    • Method: GET
    • Response
[
  {
    "user_subscription_id": "ObjectId('...')",
    "subscription_id": "ObjectId('...')",
    "name": "Premium",
    "price": 50.00,
    "benefits": ["Discounts", "Priority Booking"],
    "start_date": "2023-07-01T11:00:00Z",
    "end_date": "2023-08-01T11:00:00Z",
    "status": "active"
  }
]
    • Steps:
      1. Retrieve the user’s active and expired subscriptions from the user_subscriptions collection.
      2. Join with the subscriptions collection to get subscription details.
      3. Return the subscription details.

  • Apply Subscription Benefits During Booking and Payment

    • Steps:
      1. Check if the user has an active subscription during booking and payment processes.
      2. Apply relevant benefits (e.g., discounts, priority booking) based on the subscription details.
      3. Update the booking and payment calculations accordingly.

By implementing this module, the subscription models within the beauty salon application become fully functional, allowing users to purchase and manage subscriptions and enabling the application to apply subscription benefits automatically. This enhances the overall user experience and creates additional revenue streams for the salon.

Module 7: In-App Chat

The seventh module focuses on implementing an in-app chat system. This module allows users to communicate with salon professionals and salon owners to communicate with clients and manage customer queries effectively. The in-app chat enhances user experience by providing real-time communication within the application.

Features

  • Initiate Chat: Users can start a chat with salon professionals.
  • Send and Receive Messages: Users and salon professionals can exchange messages in real-time.
  • View Chat History: Users and salon professionals can view the history of their conversations.
  • Notifications: Users receive notifications for new messages.

Entities and Attributes

  1. Chat

    • chat_id: Unique identifier (auto-generated).
    • user_id: Reference to the user.
    • salon_id: Reference to the salon.
    • messages: Array of message objects.
    • created_at: Timestamp of chat creation.
    • updated_at: Timestamp of the last message in the chat.

  2. Message

    • message_id: Unique identifier (auto-generated).
    • chat_id: Reference to the chat.
    • sender_id: Reference to the sender (user or salon professional).
    • content: Message content.
    • timestamp: Timestamp of the message.

ER Diagram

[User] ---< chats >--- [Chat] ---< messages >--- [Message] ---< salons >--- [Salon]

[Chat]
| chat_id: ObjectId
| user_id: ObjectId
| salon_id: ObjectId
| messages: Array
| created_at: Date
| updated_at: Date

[Message]
| message_id: ObjectId
| chat_id: ObjectId
| sender_id: ObjectId
| content: String
| timestamp: Date

Database Schema (EVA)

In MongoDB, the chats and messages collections will follow these structures:

chats collection:

{
  "_id": ObjectId("..."),
  "user_id": ObjectId("..."),
  "salon_id": ObjectId("..."),
  "messages": [
    {
      "message_id": ObjectId("..."),
      "sender_id": ObjectId("..."),
      "content": "Hello, I have a question about my booking.",
      "timestamp": "2023-07-01T10:05:00Z"
    }
  ],
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:05:00Z"
}

messages collection:

{
  "_id": ObjectId("..."),
  "chat_id": ObjectId("..."),
  "sender_id": ObjectId("..."),
  "content": "Hello, I have a question about my booking.",
  "timestamp": "2023-07-01T10:05:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create collections named chats and messages for storing chat and message information.

  2. Initiate Chat API

    • Endpoint: /api/chat
    • Method: POST
    • Request Body
{
  "user_id": "ObjectId('...')",
  "salon_id": "ObjectId('...')"
}

Response:

{
  "message": "Chat initiated successfully",
  "chat_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the chat data into the chats collection.
      3. Return a success message with the chat_id.

  • Send Message API

    • Endpoint: /api/chat/:id/message
    • Method: POST
    • Request Body:
{
  "sender_id": "ObjectId('...')",
  "content": "Hello, I have a question about my booking."
}

Response

{
  "message": "Message sent successfully",
  "message_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the message data into the messages collection.
      3. Update the chat’s messages array and updated_at timestamp in the chats collection.
      4. Return a success message with the message_id.

  • View Chat History API

    • Endpoint: /api/chat/:id
    • Method: GET
    • Response
{
  "chat_id": "ObjectId('...')",
  "user_id": "ObjectId('...')",
  "salon_id": "ObjectId('...')",
  "messages": [
    {
      "message_id": "ObjectId('...')",
      "sender_id": "ObjectId('...')",
      "content": "Hello, I have a question about my booking.",
      "timestamp": "2023-07-01T10:05:00Z"
    }
  ],
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:05:00Z"
}

Steps:

  1. Retrieve the chat data from the chats collection using the chat_id.
  2. Return the chat details.

By implementing this module, the in-app chat system within the beauty salon application becomes fully functional, allowing real-time communication between users and salon professionals. This enhances the overall user experience by providing a direct and efficient way to handle inquiries and manage customer relationships.

Module 8: Salon and Professional Management

The eighth module focuses on managing salon details and professionals. This module allows salon owners to register their salons, add and manage professional profiles, and update salon information. Effective management of salon details and professionals is crucial for maintaining accurate information and providing high-quality services to customers.

Features

  • Register Salon: Allows salon owners to register their salons.
  • Add Professional Profiles: Enables salon owners to add and manage profiles of salon professionals.
  • Update Salon Information: Allows salon owners to update salon details such as location, services offered, and operating hours.
  • Manage Salon Services: Salon owners can add, update, and delete services offered by their salon.

Entities and Attributes

  1. Salon

    • salon_id: Unique identifier (auto-generated).
    • owner_id: Reference to the salon owner.
    • name: Name of the salon.
    • location: Location of the salon.
    • services: Array of service IDs.
    • professionals: Array of professional IDs.
    • created_at: Timestamp of salon registration.
    • updated_at: Timestamp of the last update to the salon.

  2. Professional

    • professional_id: Unique identifier (auto-generated).
    • salon_id: Reference to the salon.
    • name: Name of the professional.
    • expertise: Array of expertise areas.
    • profile: Profile details of the professional.
    • created_at: Timestamp of profile creation.
    • updated_at: Timestamp of the last update to the profile.

ER Diagram

[User] ---< salons >--- [Salon] ---< professionals >--- [Professional]

[Salon]
| salon_id: ObjectId
| owner_id: ObjectId
| name: String
| location: String
| services: Array
| professionals: Array
| created_at: Date
| updated_at: Date

[Professional]
| professional_id: ObjectId
| salon_id: ObjectId
| name: String
| expertise: Array
| profile: String
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the salons and professionals collections will follow these structures:

salons collection:

{
  "_id": ObjectId("..."),
  "owner_id": ObjectId("..."),
  "name": "Elegant Salon",
  "location": "456 Beauty St, City, Country",
  "services": ["service_id1", "service_id2"],
  "professionals": ["professional_id1", "professional_id2"],
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

professionals collection:

{
  "_id": ObjectId("..."),
  "salon_id": ObjectId("..."),
  "name": "Jane Doe",
  "expertise": ["Haircut", "Manicure"],
  "profile": "Experienced beautician with 5 years of expertise.",
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create collections named salons and professionals for storing salon and professional information.

  2. Register Salon API

    • Endpoint: /api/salon
    • Method: POST
    • Request Body
{
  "owner_id": "ObjectId('...')",
  "name": "Elegant Salon",
  "location": "456 Beauty St, City, Country"
}

Response

{
  "message": "Salon registered successfully",
  "salon_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the salon data into the salons collection.
      3. Return a success message with the salon_id.

  • Add Professional Profile API

    • Endpoint: /api/professional
    • Method: POST
    • Request Body
{
  "salon_id": "ObjectId('...')",
  "name": "Jane Doe",
  "expertise": ["Haircut", "Manicure"],
  "profile": "Experienced beautician with 5 years of expertise."
}

Response

{
  "message": "Professional profile added successfully",
  "professional_id": "ObjectId('...')"
}
    • Steps:
      1. Validate the input data.
      2. Insert the professional data into the professionals collection.
      3. Update the professionals array in the salons collection.
      4. Return a success message with the professional_id.

  • Update Salon Information API

    • Endpoint: /api/salon/:id
    • Method: PUT
    • Request Body
{
  "name": "Updated Salon Name",
  "location": "Updated Location"
}

Response:

{
  "message": "Salon information updated successfully"
}
    • Steps:
      1. Validate the input data.
      2. Update the salon data in the salons collection using the salon_id.
      3. Return a success message.

  • Manage Salon Services API

    • Endpoint: /api/salon/:id/services
    • Method: PUT
    • Request Body
{
  "services": ["service_id1", "service_id2"]
}

Response:

{
  "message": "Salon services updated successfully"
}

Steps:

  1. Validate the input data.
  2. Update the services array in the salons collection using the salon_id.
  3. Return a success message.

By implementing this module, salon and professional management within the beauty salon application becomes fully functional, allowing salon owners to efficiently manage their salons and professionals. This ensures accurate and up-to-date information, improving the overall user experience and service quality.

Module 9: Admin Controls

The ninth module focuses on the administrative functionalities of the beauty salon application. This module allows administrators to manage users, stylists, and salons, approve or disapprove registrations, manage transactions, and monitor advertisements. Effective admin controls are crucial for maintaining the integrity, security, and quality of the application.

Features

  • User Management: Admins can manage user profiles and permissions.
  • Stylist Management: Admins can manage stylist profiles and their associated salons.
  • Salon Management: Admins can manage salon details and their statuses.
  • Approval Process: Admins can approve or disapprove new registrations for users, stylists, and salons.
  • Payment Management: Admins can monitor and manage payment transactions.
  • Advertisement Management: Admins can manage advertisements within the application.

Entities and Attributes

  1. Admin

    • admin_id: Unique identifier (auto-generated).
    • name: Name of the admin.
    • email: Email address of the admin.
    • password: Encrypted password.
    • created_at: Timestamp of account creation.
    • updated_at: Timestamp of the last update to the admin profile.

  2. Approval

    • approval_id: Unique identifier (auto-generated).
    • entity_id: Reference to the entity being approved (user, stylist, or salon).
    • entity_type: Type of entity (e.g., user, stylist, salon).
    • status: Approval status (e.g., pending, approved, disapproved).
    • comments: Comments regarding the approval decision.
    • created_at: Timestamp of approval request.
    • updated_at: Timestamp of the last update to the approval status.

  3. Payment

    • payment_id: Unique identifier (auto-generated).
    • user_id: Reference to the user making the payment.
    • amount: Amount of the payment.
    • payment_date: Date and time of the payment.
    • method: Payment method (e.g., credit card, PayPal).
    • status: Payment status (e.g., completed, pending).
    • created_at: Timestamp of payment creation.
    • updated_at: Timestamp of the last update to the payment.

  4. Advertisement

    • ad_id: Unique identifier (auto-generated).
    • salon_id: Reference to the salon.
    • content: Advertisement content.
    • start_date: Start date of the advertisement.
    • end_date: End date of the advertisement.
    • payment_id: Reference to the payment for the advertisement.
    • created_at: Timestamp of advertisement creation.
    • updated_at: Timestamp of the last update to the advertisement.

ER Diagram

[Admin] ---< approvals >--- [Approval]
[Admin] ---< payments >--- [Payment]
[Admin] ---< ads >--- [Advertisement]

[Approval]
| approval_id: ObjectId
| entity_id: ObjectId
| entity_type: String
| status: String
| comments: String
| created_at: Date
| updated_at: Date

[Payment]
| payment_id: ObjectId
| user_id: ObjectId
| amount: Number
| payment_date: Date
| method: String
| status: String
| created_at: Date
| updated_at: Date

[Advertisement]
| ad_id: ObjectId
| salon_id: ObjectId
| content: String
| start_date: Date
| end_date: Date
| payment_id: ObjectId
| created_at: Date
| updated_at: Date

Database Schema (EVA)

In MongoDB, the admins, approvals, payments, and ads collections will follow these structures:

admins collection:

{
  "_id": ObjectId("..."),
  "name": "Admin",
  "email": "admin@example.com",
  "password": "hashed_password",
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

approvals collection:

{
  "_id": ObjectId("..."),
  "entity_id": ObjectId("..."),
  "entity_type": "user",
  "status": "pending",
  "comments": "Verification required.",
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

payments collection:

{
  "_id": ObjectId("..."),
  "user_id": ObjectId("..."),
  "amount": 100.00,
  "payment_date": "2023-07-01T11:00:00Z",
  "method": "credit_card",
  "status": "completed",
  "created_at": "2023-07-01T11:00:00Z",
  "updated_at": "2023-07-01T11:00:00Z"
}

ads collection:

{
  "_id": ObjectId("..."),
  "salon_id": ObjectId("..."),
  "content": "Special offer on haircuts!",
  "start_date": "2023-07-01",
  "end_date": "2023-07-31",
  "payment_id": ObjectId("..."),
  "created_at": "2023-07-01T10:00:00Z",
  "updated_at": "2023-07-01T10:00:00Z"
}

Implementation Steps

  1. Setting Up MongoDB

    • Ensure the MongoDB setup is complete and the beauty_salon database is running.
    • Create collections named admins, approvals, payments, and ads for storing admin, approval, payment, and advertisement information.

  2. User Management API

    • Endpoint: /api/admin/users
    • Method: GET
    • Response
[
  {
    "user_id": "ObjectId('...')",
    "name": "John Doe",
    "email": "john@example.com",
    "phone": "1234567890",
    "created_at": "2023-07-01T10:00:00Z"
  }
]
    • Steps:
      1. Retrieve all user data from the users collection.
      2. Return the user details.

  • Stylist Management API

    • Endpoint: /api/admin/stylists
    • Method: GET
    • Response
[
  {
    "professional_id": "ObjectId('...')",
    "name": "Jane Doe",
    "expertise": ["Haircut", "Manicure"],
    "profile": "Experienced beautician with 5 years of expertise.",
    "created_at": "2023-07-01T10:00:00Z"
  }
]
    • Steps:
      1. Retrieve all stylist data from the professionals collection.
      2. Return the stylist details.

  • Salon Management API

    • Endpoint: /api/admin/salons
    • Method: GET
    • Response
[
  {
    "salon_id": "ObjectId('...')",
    "name": "Elegant Salon",
    "location": "456 Beauty St, City, Country",
    "created_at": "2023-07-01T10:00:00Z"
  }
]
    • Steps:
      1. Retrieve all salon data from the salons collection.
      2. Return the salon details.

  • Approval Process API

    • Endpoint: /api/admin/approvals
    • Method: PUT
    • Request Body
{
  "approval_id": "ObjectId('...')",
  "status": "approved",
  "comments": "Verified successfully."
}

Response:

{
  "message": "Approval status updated successfully"
}
    • Steps:
      1. Validate the input data.
      2. Update the approval status and comments in the approvals collection.
      3. Return a success message.

  • Payment Management API

    • Endpoint: /api/admin/payments
    • Method: GET
    • Response
[
  {
    "payment_id": "ObjectId('...')",
    "user_id": "ObjectId('...')",
    "amount": 100.00,
    "payment_date": "2023-07-01T11:00:00Z",
    "method": "credit_card",
    "status": "completed",
    "created_at": "2023-07-01T11:00:00Z"
  }
]
    • Steps:
      1. Retrieve all payment data from the payments collection.
      2. Return the payment details.

  • Advertisement Management API

    • Endpoint: /api/admin/ads
    • Method: GET
    • Response
[
  {
    "ad_id": "ObjectId('...')",
    "salon_id": "ObjectId('...')",
    "content": "Special offer on haircuts!",
    "start_date": "2023-07-01",
    "end_date": "2023-07-31",
    "payment_id": "ObjectId('...')",
    "created_at": "2023-07-01T10:00:00Z"
  }
]

Steps:

  1. Retrieve all advertisement data from the ads collection.
  2. Return the advertisement details.

By implementing this module, the administrative functionalities within the beauty salon application become fully functional, allowing administrators to efficiently manage users, stylists, salons, approvals, payments, and advertisements. This ensures the smooth operation and high quality of the application, enhancing the overall user experience and maintaining the integrity of the platform.

 

Summary

This documentation outlines the comprehensive backend design for a beauty salon application using MongoDB. The application is divided into multiple modules to ensure a clear, structured, and step-by-step development process. Each module focuses on specific functionalities, providing a robust and scalable solution for managing various aspects of a beauty salon business.

Modules Overview

  1. User Registration and Authentication: Secure user sign-up and login functionalities.
  2. Service Management: Allows salon owners to add, update, and manage services.
  3. Booking System: Enables users to request and confirm bookings.
  4. Payment Integration: Integrates secure payment methods and manages transactions.
  5. Reviews and Ratings: Users can submit and view reviews and ratings for salons and services.
  6. Subscription Models: Implements subscription plans with various benefits.
  7. In-App Chat: Real-time communication between users and salon professionals.
  8. Salon and Professional Management: Manages salon details and professional profiles.
  9. Admin Controls: Administrative functionalities for managing users, stylists, salons, approvals, payments, and advertisements.

Key Points

  • Scalability: The database design ensures scalability, allowing the application to handle increasing amounts of data and users efficiently.
  • Security: Secure handling of user data, including encrypted passwords and secure payment transactions, is emphasized throughout the design.
  • User Experience: The design focuses on providing a seamless and intuitive user experience, with real-time communication, easy booking, and subscription benefits.
  • Administrative Control: Robust admin functionalities ensure the smooth operation and integrity of the application, allowing efficient management of all aspects of the business.

Future Enhancements

  • Analytics and Reporting: Implementing analytics and reporting functionalities for salon owners and admins to track performance and make data-driven decisions.
  • Marketing and Promotions: Adding features for salon owners to create and manage marketing campaigns and promotions within the app.
  • Personalization: Enhancing user experience through personalized recommendations based on user preferences and behavior.
  • Integration with External Services: Integrating with third-party services for enhanced functionalities such as location-based services, advanced payment gateways, and more.

By following this documentation, developers can build a comprehensive, efficient, and scalable beauty salon application, catering to the needs of customers, salon owners, and administrators alike. This structured approach ensures that each component is well-integrated and functional, providing a solid foundation for future enhancements and growth.

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