---
# System prepended metadata

title: Movie Recommendation App Requirements Document

---

# Movie Recommendation App Requirements Document

## 1. Introduction

### 1.1 Purpose
The purpose of this document is to outline the requirements for the development of a Movie Recommendation App. The app will provide users with personalized movie recommendations based on various criteria, including genres, casts, directors, source material, and production studios.

### 1.2 Scope
The Movie Recommendation App aims to create a user-friendly platform that offers movie suggestions tailored to individual preferences. Users will have the ability to explore movies, provide reviews, and receive recommendations based on their viewing history, preferred genres, favorite casts, directors, and production studios.

## 2. Functional Requirements

### 2.1 User Authentication
- Users should be able to create accounts and log in securely.
- Authentication mechanisms should ensure the security of user information.
- Use JSON Web Tokens (JWT) for user authentication.
- Secure sensitive endpoints with middleware to verify user authentication.


### 2.2 Movie Database
- The app should maintain a comprehensive database of movies, including information on genres, casts, directors, source materials, and production studios.
- The database should be regularly updated to include new releases and popular titles.

### 2.3 Movie Listings
- Users should be able to browse and search for movies based on genres, casts, directors, source materials, and production studios.
- Each movie listing should include details such as title, release date, genre, cast, director, source material, and studio.

### 2.4 Recommendation Engine
- The recommendation engine should suggest movies based on the user's viewing history, preferred genres, favorite casts, directors, and production studios.
- The engine should consider viewer ratings and reviews when generating recommendations.

### 2.5 User Profile
- Users should have personalized profiles displaying their viewing history, preferences, and recommended movies.
- Users can add movies to their watchlist.

### 2.6 Reviews and Ratings
- Users should be able to leave reviews and ratings for movies.
- The recommendation engine should consider user ratings and reviews when suggesting movies.

## 3. Non-functional Requirements

### 3.1 Performance
- The app should provide a responsive and fast user experience.
- Database queries and recommendations should be optimized for efficiency.

### 3.2 Security
- User data, including authentication details, should be securely stored and transmitted.
- The app should implement secure communication protocols.
- Sanitize and validate user inputs to prevent security vulnerabilities.


### 3.3 Scalability
- The system should be designed to handle a growing user base and an expanding movie database.

### 3.4 User Interface
- The user interface should be intuitive, easy to navigate, and visually appealing.
- Users should have seamless interactions with the app across various devices.

### 3.5 Compatibility
- The app should be compatible with popular web browsers and mobile platforms.

## 4. API Endpoints
The Movie Recommendation App API will be responsible for handling requests from the frontend application, interacting with the database, and delivering relevant data to support the app's features.

### 4.1 User Authentication

#### 4.1.1 POST /api/auth/register
- Registers a new user.

#### 4.1.2 POST /api/auth/login
- Authenticates a user.

### 4.2 Movie Data

#### 4.2.1 GET /api/movies
- Retrieves a list of movies with basic details.

#### 4.2.2 GET /api/movies/:id
- Retrieves detailed information about a specific movie.

### 4.3 Movie Recommendations

#### 4.3.1 GET /api/recommendations
- Generates movie recommendations based on user preferences, viewing history, and ratings.

### 4.4 User Profile

#### 4.4.1 GET /api/users/:id/profile
- Retrieves user profile information, including viewing history and preferences.

#### 4.4.2 POST /api/users/:id/watchlist
- Adds a movie to the user's watchlist.

### 4.5 Reviews and Ratings

#### 4.5.1 GET /api/movies/:id/reviews
- Retrieves reviews for a specific movie.

#### 4.5.2 POST /api/movies/:id/reviews
- Adds a review and rating for a movie.

## 5. Data Structures

### 5.1 Movie Object

```json
{
  "id": 1,
  "title": "Movie Title",
  "releaseDate": "YYYY-MM-DD",
  "genre": ["Genre1", "Genre2"],
  "cast": ["Actor1", "Actor2"],
  "director": "Director Name",
  "sourceMaterial": "Book Title",
  "studio": "Studio Name",
  "averageRating": 4.5
}
```

### 5.2 User Object

```json
{
  "id": 1,
  "username": "user123",
  "email": "user@example.com",
  "watchlist": [1, 2, 3],
  "viewingHistory": [4, 5, 6],
  "preferences": {
    "genres": ["Genre1", "Genre2"],
    "favoriteCasts": ["Actor1", "Actor2"],
    "favoriteDirectors": ["Director1", "Director2"],
    "favoriteStudios": ["Studio1", "Studio2"]
  }
}
```

### 5.3 Review Object

```json
{
  "id": 1,
  "userId": 1,
  "movieId": 2,
  "rating": 4.5,
  "comment": "Great movie!"
}
```

## 6. Error Handling

- Return appropriate HTTP status codes and error messages for failed requests.
- Implement global error handling middleware.

## 7. Rate Limiting

- Implement rate limiting to prevent abuse and ensure fair API usage.

## 8. Documentation

- Provide comprehensive API documentation using tools like Swagger or OpenAPI.


## 9. Conclusion

All these things are suggestions to help you think about things. I recommend using TypeORM for this so you can learn how to use a proper ORM. For everything you write with TypeORM, I want you to write the SQL equivalent in comments, so I am sure you understand it properly.

Goodluck!
