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How to Build a Spotify-Powered Pomodoro Focus Timer

Create a powerful productivity tool that combines the time-tested Pomodoro Technique with Spotify integration. This app allows users to customize work sessions, automatically play focus playlists, and track their productivity over time, all while enjoying their favorite music.

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Simple Summary

A Pomodoro Timer with Spotify Integration that helps users boost productivity by combining focused work sessions with personalized music playlists.

Product Requirements Document (PRD)

Goals:

  • Create a user-friendly Pomodoro timer with Spotify integration
  • Allow users to customize work/break intervals
  • Automatically play and pause focus playlists from Spotify
  • Track and visualize productivity metrics

Target Audience:

  • Students, professionals, and anyone looking to improve their focus and productivity

Key Features:

  1. Customizable Pomodoro timer
  2. Spotify integration for automatic playlist control
  3. User authentication and profile management
  4. Productivity tracking and statistics
  5. Notification system for session start/end

User Requirements:

  • Easy-to-use interface for setting up Pomodoro sessions
  • Seamless Spotify integration
  • Ability to view and analyze productivity data
  • Cross-platform accessibility (web and mobile)

User Flows

  1. User Registration and Spotify Connection:

    • User signs up for an account
    • User connects their Spotify account
    • User selects preferred focus playlists

  2. Starting a Pomodoro Session:

    • User sets desired work/break intervals
    • User starts the timer
    • App automatically plays selected Spotify playlist
    • App notifies user when work/break periods begin and end

  3. Viewing Productivity Stats:

    • User navigates to dashboard
    • User views completed Pomodoro sessions, total focus time, and productivity trends
    • User can filter data by date range or project tags

Technical Specifications

  • Frontend: React with TypeScript
  • Backend: Node.js with Express
  • Database: PostgreSQL
  • Authentication: JWT for app, OAuth for Spotify integration
  • API: RESTful architecture
  • State Management: Redux
  • Styling: Styled-components
  • Testing: Jest and React Testing Library
  • Deployment: Docker containers on AWS

API Endpoints

  • POST /auth/register
  • POST /auth/login
  • GET /auth/spotify-connect
  • GET /user/profile
  • PUT /user/settings
  • POST /pomodoro/start
  • PUT /pomodoro/pause
  • GET /pomodoro/stats
  • GET /spotify/playlists
  • POST /spotify/play
  • POST /spotify/pause

Database Schema

Users Table:

  • id (PK)
  • email
  • password_hash
  • spotify_id
  • created_at

PomodoroSessions Table:

  • id (PK)
  • user_id (FK)
  • start_time
  • end_time
  • duration
  • type (work/break)

UserSettings Table:

  • user_id (PK, FK)
  • work_duration
  • break_duration
  • long_break_duration
  • preferred_playlist_ids

File Structure

/src /components /Timer /SpotifyPlayer /Stats /Settings /pages Home.tsx Login.tsx Register.tsx Dashboard.tsx /api auth.ts pomodoro.ts spotify.ts /utils timeUtils.ts statsCalculator.ts /styles globalStyles.ts theme.ts /redux store.ts /slices userSlice.ts pomodoroSlice.ts /types index.ts /public /assets logo.svg favicon.ico /tests /unit /integration README.md package.json tsconfig.json .env.example Dockerfile

Implementation Plan

  1. Project Setup (1-2 days)

    • Initialize React project with TypeScript
    • Set up ESLint and Prettier
    • Create basic folder structure

  2. Authentication and User Management (3-4 days)

    • Implement user registration and login
    • Set up JWT authentication
    • Create user profile and settings pages

  3. Pomodoro Timer Core Functionality (4-5 days)

    • Build timer component with customizable intervals
    • Implement start, pause, and reset functionality
    • Add notification system for interval changes

  4. Spotify Integration (3-4 days)

    • Set up Spotify OAuth flow
    • Implement playlist fetching and selection
    • Create controls for playing/pausing music with timer

  5. Stats and Dashboard (3-4 days)

    • Design and implement productivity dashboard
    • Create data visualization components
    • Implement filtering and date range selection

  6. Testing and Refinement (2-3 days)

    • Write unit and integration tests
    • Perform manual testing and bug fixes
    • Optimize performance and responsiveness

  7. Deployment Preparation (1-2 days)

    • Set up Docker containers
    • Configure AWS services
    • Prepare deployment scripts

  8. Launch and Monitoring (1-2 days)

    • Deploy to production
    • Set up monitoring and logging
    • Gather initial user feedback

Deployment Strategy

  1. Containerize application using Docker
  2. Set up AWS ECS (Elastic Container Service) for container orchestration
  3. Use AWS RDS for managed PostgreSQL database
  4. Implement AWS CloudFront for CDN and caching
  5. Set up CI/CD pipeline using GitHub Actions
  6. Configure AWS CloudWatch for monitoring and logging
  7. Implement automated backups for the database
  8. Use AWS Route 53 for domain management and DNS

Design Rationale

  • React with TypeScript was chosen for its strong typing and component-based architecture, improving maintainability and reducing bugs.
  • PostgreSQL provides robust relational data management for user and session information.
  • Redux is used for global state management, ensuring consistent data flow across the application.
  • Styled-components allows for easy theming and component-specific styling.
  • Docker containers ensure consistency across development and production environments.
  • AWS services provide scalability and reliability for handling potential growth in user base.
  • The file structure separates concerns and promotes modularity, making the codebase easier to navigate and maintain.