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Movie Watchlist Svelte

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SvelteFlix - Movie Watchlist Application

Project Overview

SvelteFlix is a web application developed as a Web Programming II course project, designed to help users discover, track, and organize their movie-watching experience. The application allows users to search for movies, add them to personalized watchlists, categorize them by watch status, and view detailed information about each movie.

Purpose

The main purpose of this application is to provide movie enthusiasts with a comprehensive tool to:

  • Discover new movies through search and popular movie recommendations
  • Track movies they plan to watch
  • Organize watched movies by status (planning, watching, completed, on hold, dropped)
  • Keep track of their viewing statistics (total movies watched, watch time)
  • Access detailed information about each movie

Implementation

Technology Stack

  • Frontend: SvelteKit 5.0, TailwindCSS 4.0
  • Backend: SvelteKit server routes, SQLite database
  • Authentication: Lucia authentication system with Argon2 password hashing
  • API Integration: The Movie Database (TMDB) API
  • Database ORM: Drizzle ORM
  • Styling: Tailwind CSS for responsive design and some css ugly coded for page specific

Key Features

  1. User Authentication: Secure login and registration system
  2. Movie Discovery: Search functionality and popular movies display
  3. Watchlist Management: Add, remove, and categorize movies
  4. Watch Status Tracking: Planning, watching, completed, on hold, dropped
  5. Profile Statistics: Track watch count and total watch time
  6. Responsive Design: Mobile-friendly interface

APIs and External Services

TMDB API Integration

The application integrates with The Movie Database (TMDB) API to fetch movie data. Key endpoints used:

  1. Popular Movies: /movie/popular - Fetches trending and popular movies
  2. Movie Search: /search/movie - Searches for movies by title
  3. Movie Details: /movie/{id} - Fetches detailed information about a specific movie

The TMDB API client is implemented in src/lib/server/tmdb.ts and handles all API requests, including:

  • Fetching movie metadata (title, poster, description)
  • Retrieving movie runtime information for watch time calculation
  • Searching movies by title
  • Getting detailed movie information

Internal API Endpoints

The application provides its own API endpoints to facilitate communication between the frontend and backend:

Movie APIs

  • GET /api/movies/popular - Retrieves popular movies with pagination support

    • Query params: page (optional, defaults to 1)
    • Returns: List of popular movies with pagination metadata

  • GET /api/movies/search - Searches for movies by title

    • Query params: query (required), page (optional, defaults to 1)
    • Returns: List of movies matching the search query

  • GET /api/movies/[id] - Retrieves detailed information about a specific movie

    • Path params: id (movie ID)
    • Returns: Detailed movie information

Watchlist APIs

  • GET /api/watchlist - Retrieves the current user's watchlist

    • Requires authentication
    • Returns: List of movies in the user's watchlist

  • POST /api/watchlist - Adds a movie to the user's watchlist

    • Requires authentication
    • Body: Movie information
    • Returns: Success/error status

  • DELETE /api/watchlist/[id] - Removes a movie from the user's watchlist

    • Requires authentication
    • Path params: id (movie ID)
    • Returns: Success/error status

  • GET /api/watchlist/check/[id] - Checks if a movie is in the user's watchlist

    • Requires authentication
    • Path params: id (movie ID)
    • Returns: Boolean indicating presence in watchlist

  • PUT /api/watchlist/status/[status] - Updates a movie's watch status

    • Requires authentication
    • Path params: status (watch status)
    • Body: Movie ID and additional update data
    • Returns: Success/error status

Database and Stored Data

Database Schema

The application uses SQLite with Drizzle ORM for data persistence. The database schema includes:

  1. User Table

    • id: Primary key (text)
    • username: User's username (unique, text)
    • passwordHash: Hashed password (text)

  2. Session Table

    • id: Primary key (text)
    • userId: Foreign key to user (text)
    • expiresAt: Session expiration timestamp (integer)

  3. Watchlist Table

    • id: Primary key (auto-incrementing integer)
    • movieId: TMDB movie ID (integer)
    • title: Movie title (text)
    • posterPath: Path to movie poster (text, nullable)
    • voteAverage: Movie rating (integer, nullable)
    • backdropPath: Path to backdrop image (text, nullable)
    • releaseDate: Movie release date (text, nullable)
    • overview: Movie description (text, nullable)
    • runtime: Movie runtime in minutes (integer, nullable)
    • addedAt: When the movie was added to watchlist (text, defaults to current timestamp)
    • status: Watch status (text, defaults to 'planning')
    • startedAt: When the user started watching (text, nullable)
    • completedAt: When the user finished watching (text, nullable)
    • userId: Foreign key to user (text)

Component Communication

Data Flow Architecture

The application follows SvelteKit's recommended data flow patterns:

  1. Server-to-Client Communication:

    • Server-side data loading through +page.server.ts files that fetch data and pass it to Svelte components
    • API endpoints for dynamic data operations

  2. Client-State Management:

    • Local component state using Svelte's $state for UI interactions
    • Form actions for data modifications

  3. Component Communication:

    • Parent-to-child props passing
    • Event dispatching for child-to-parent communication
    • Form actions for server interactions

Authentication Flow

  1. User registers/logs in via the login form
  2. Server validates credentials and creates a session
  3. Session token is stored in an HTTP-only cookie
  4. Server hooks validate the session on each request
  5. User information is made available via the locals object

Watchlist Management Flow

  1. User searches for a movie or browses popular movies
  2. User adds a movie to their watchlist
  3. Server stores the movie details including runtime
  4. User can update the watch status of movies
  5. Watch status changes update completion time and statistics

Setup and Development

Prerequisites

  • Node.js 16+
  • npm or yarn

Environment Variables

Copy .env.example to .env and add your required credentials:

# Database Configuration
DATABASE_URL=local.db

# TMDB API Configuration
TMDB_API_KEY=your_api_key
TMDB_API_URL=https://api.themoviedb.org/3
TMDB_API_READ_ACCESS_TOKEN=your_access_token

Installation

# Install dependencies
npm install

# Setup the database
npm run db:push

# Start development server
npm run dev

Database Management

  • npm run db:push: Apply schema changes to the database
  • npm run db:migrate: Generate migration files
  • npm run db:studio: Open Drizzle Studio to view/edit data

Deployment

The application can be deployed to any platform that supports Node.js applications. For production deployment:

npm run build

This project was created as an assignment for Web Programming II course.

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