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Hair Salon Booking System Planning Document

Table of Contents

Introduction

This document outlines the planning phase for developing a full-stack booking system for a hair salon. The system aims to streamline the booking process for customers, manage appointments efficiently, and provide administrative capabilities for salon management and staff.

Project Objectives

  • Develop a scalable, production-ready booking platform tailored for hair salons.
  • Implement a user-friendly frontend interface for customers to book appointments.
  • Create an administrative dashboard for the salon's CEO and staff to manage bookings, schedules, and generate reports.
  • Ensure the system is secure, fast, and maintainable for future enhancements.
  • Expose a robust API for potential integration with other solutions.

Functional Requirements

Customer-Facing Features

  • User Registration and Authentication: Customers can create accounts and securely log in.
  • Appointment Booking: Browse available time slots and book appointments without double-booking conflicts.
  • Service Selection: View and select from a list of services offered.
  • Booking Management: View, modify, or cancel existing bookings.
  • Notifications: Receive email/SMS confirmations and reminders.

Employee Features

  • Employee Login: Staff members have individual accounts to access their schedules.
  • Schedule Management: View and manage personal appointment schedules.
  • Availability Settings: Set availability and block out times when not available.

Admin Features

  • Admin Dashboard: Comprehensive overview of daily bookings, staff schedules, and salon performance.
  • User Management: Add, modify, or remove employee accounts.
  • Reporting: Generate reports on bookings, revenue, and employee performance; export data to Excel.
  • Service Management: Add or update services offered, including pricing and duration.

Non-Functional Requirements

  • Scalability: Able to handle increased load, e.g., for large salons like Cutters.
  • Performance: Fast load times and responsive interactions.
  • Security: Protect user data with robust authentication and authorization mechanisms.
  • Maintainability: Clean, well-documented codebase for future development.
  • Reliability: Ensure high availability and fault tolerance.
  • Usability: Intuitive user interface and user experience.
  • Compliance: Adhere to relevant data protection regulations (e.g., GDPR).

Technology Stack

Backend

  • Language: Node.js (JavaScript/TypeScript)
  • Framework: NestJS for a scalable and maintainable structure.
    • Future-proof and supports enterprise-grade applications.
    • Built with TypeScript, encouraging type safety.
  • Database:
    • Primary: PostgreSQL for relational data storage.
    • Cache: Redis for caching frequently accessed data and managing session data.
  • Authentication: JSON Web Tokens (JWT) with refresh tokens for secure API access.
  • API Documentation: Swagger/OpenAPI for documenting APIs.

Frontend

  • Framework: Vue 3
    • Known for its gentle learning curve and flexibility.
    • Composition API allows for better organization in larger applications.
  • State Management: Pinia (the successor to Vuex) for managing application state.
  • Routing: Vue Router for navigating between views.

DevOps and Deployment

  • Containerization: Docker for consistent environments across development, testing, and production.
  • Orchestration: Kubernetes or Docker Compose for managing containers.
  • Continuous Integration/Continuous Deployment (CI/CD): Jenkins, GitHub Actions, or GitLab CI for automatic building, testing, and deployment.
  • Hosting: Cloud provider like AWS, Azure, or Google Cloud Platform.

System Architecture

Overview

The system will follow a modular architecture separating the frontend, backend, and database layers.

  1. Frontend Client:

    • Runs in the browser.
    • Communicates with the backend via RESTful API calls.
    • Provides interfaces for customers, employees, and admins based on roles.

  2. Backend API:

    • Exposes RESTful endpoints for all functionalities.
    • Handles business logic, authentication, and authorization.
    • Interacts with the database and cache layers.

  3. Database Layer:

    • PostgreSQL stores persistent relational data.
    • Redis used for session management, caching, and handling real-time features (e.g., notifications).

Interaction Flow

  1. A customer accesses the booking interface via the frontend.
  2. The frontend communicates with the backend API to fetch available time slots.
  3. Upon booking, the backend validates the request, ensures no double-booking via Redis locks, and stores the appointment in PostgreSQL.
  4. Notifications are sent, and the employee's schedule is updated accordingly.

Database Design

Entities and Relationships

  1. Users

    • Attributes: id, name, email, password, role (customer, employee, admin), contact_info, created_at, updated_at
    • Stores all user information with role-based access.

  2. Employees

    • Attributes: id, user_id, specializations, availability, created_at, updated_at
    • Linked to the Users table via user_id.

  3. Services

    • Attributes: id, name, description, duration, price, created_at, updated_at
    • List of services offered by the salon.

  4. Bookings

    • Attributes: id, customer_id, employee_id, service_id, start_time, end_time, status, created_at, updated_at
    • Represents appointments; references Users, Employees, and Services.

  5. Payments (Optional for future implementation)

    • Attributes: id, booking_id, amount, payment_method, status, transaction_date

  6. Reports

    • Generated on-demand; data pulled from existing tables.

Database Constraints

  • Uniqueness: Ensure email addresses are unique in the Users table.
  • Foreign Keys: Maintain referential integrity between tables.
  • Indexes: Optimize queries on frequently accessed fields (e.g., start_time in Bookings).

API Design

Authentication

  • Endpoints:
    • POST /auth/register: Register a new user.
    • POST /auth/login: Authenticate user and provide JWT.
    • POST /auth/refresh: Refresh access tokens.
  • Middleware: Protect routes using JWT verification.

Customer APIs

  • GET /services: List all available services.
  • GET /employees: View employees and their specializations.
  • GET /availability: Check available time slots for a service and employee.
  • POST /bookings: Create a new booking.
  • GET /bookings/{id}: Retrieve booking details.
  • PUT /bookings/{id}: Modify an existing booking.
  • DELETE /bookings/{id}: Cancel a booking.

Employee APIs

  • GET /employees/{id}/schedule: View own schedule.
  • PUT /employees/{id}/availability: Update availability.

Admin APIs

  • GET /admin/dashboard: Get overview statistics.
  • POST /admin/employees: Add a new employee.
  • PUT /admin/employees/{id}: Update employee details.
  • DELETE /admin/employees/{id}: Remove an employee.
  • POST /admin/services: Add a new service.
  • PUT /admin/services/{id}: Update service details.
  • DELETE /admin/services/{id}: Remove a service.
  • GET /admin/reports: Generate and retrieve reports.

Error Handling

  • Use standardized HTTP status codes.
  • Return error messages with details to assist in debugging (avoid exposing sensitive information).

Frontend Design

User Interface Components

Customers

  • Home Page: Introduction and quick access to booking.
  • Service Catalog: Display services with details.
  • Booking Flow:
    1. Select Service.
    2. Choose Employee (optional or auto-assigned).
    3. Pick Date and Time.
    4. Confirm Booking.
  • User Account:
    • View upcoming and past appointments.
    • Edit personal information.

Employees

  • Dashboard: Overview of today's appointments.
  • Schedule View: Calendar with upcoming bookings.
  • Availability Settings: Interface to block out unavailable times.

Admins

  • Admin Dashboard: Key metrics and alerts.
  • Employee Management: CRUD operations for employee accounts.
  • Service Management: Add or modify services.
  • Reporting Tools: Generate and export reports.

UX/UI Considerations

  • Responsive Design: Ensure usability on desktops, tablets, and mobile devices.
  • Accessibility: Adhere to WCAG guidelines for inclusive design.
  • Consistency: Use a design system or component library (e.g., Vuetify) for uniformity.

Security Considerations

  • Authentication: Implement robust authentication with password hashing (e.g., bcrypt) and secure JWT handling.
  • Authorization: Role-based access control to restrict resources.
  • Input Validation: Sanitize and validate all user inputs to prevent SQL injection and XSS attacks.
  • Data Protection: Encrypt sensitive data at rest and in transit (use HTTPS with TLS).
  • Rate Limiting: Protect against brute-force attacks by limiting login attempts.
  • Audit Logging: Maintain logs of critical actions for auditing purposes.

Scalability Considerations

  • Stateless Backend: Design the backend to be stateless to facilitate horizontal scaling.
  • Load Balancing: Use a load balancer to distribute traffic across multiple server instances.
  • Caching Strategy: Implement caching for frequent read operations using Redis.
  • Database Optimization: Use indexing and query optimization; consider read replicas for PostgreSQL.
  • Asynchronous Processing: Use message queues (e.g., RabbitMQ) for background tasks like sending notifications.

Deployment Plan

Environments

  1. Development
    • Local machines with hot-reloading for rapid development.
  2. Testing/Staging
    • Mirror production environment for testing features before release.
  3. Production
    • Live environment with robust monitoring and backup strategies.

CI/CD Pipeline

  • Code Repository: Use Git for version control (GitHub, GitLab).
  • Automated Testing: Run unit and integration tests on every push.
  • Build and Deployment: Automate using CI/CD tools to reduce manual errors.

Monitoring and Logging

  • Application Monitoring: Use tools like Prometheus and Grafana.
  • Error Tracking: Implement Sentry or similar for error logging.
  • Health Checks: Set up endpoint and infrastructure health checks.

Timeline and Milestones

Phase Duration Key Deliverables
Requirements Analysis 1 week Finalize specifications and user stories
Design 2 weeks System architecture, database schema, UI mockups
Backend Development 4 weeks API endpoints, authentication, business logic
Frontend Development 4 weeks UI components, state management, API integration
Testing 2 weeks Unit tests, integration tests, user acceptance
Deployment Setup 1 week CI/CD pipeline, server setup, domain configuration
Beta Release 1 week Deploy to staging, gather feedback
Final Adjustments 1 week Bug fixes, performance tuning
Launch - Deploy to production

Total Estimated Time: Approximately 3 months

Conclusion

This planning document outlines a comprehensive approach to developing a full-stack hair salon booking system that is scalable, secure, and user-friendly. By leveraging modern technologies and adhering to best practices in software development, the final product aims to meet the immediate needs of hair salons while being adaptable for future growth and integration.

Next Steps:

  • Review and approve the planning document.
  • Set up initial development environments.
  • Begin the requirements analysis phase with stakeholder meetings.