Bad Movie is a website that can be used by a User to scroll through movies and the ratings given by other users. They can select movies for more specific details on that movie. The user can also store their own ratings for movies they have seen.
This is a project for Turing school to utilize our knowledge on a variety of front end tools and get a better understanding of the utilizing the react Framework/ Library. It also expanded our testing knowledge using the React testing library and jest.
- React
- Router
- React Testing Library
- Jest
- JavaScript
- CSS
- HTML
Fork this repository:
https://github.com/NicoleLatifi/bad-movie
Clone your forked repository
git clone and the copied URL
Change into the directory and install the project dependencies
cd into directory and run npm install for dependencies
From inside the Directory run npm start and open a browser with localhost:3000
Or visit the Deployed Page
- User clicks on Login button and enters credentials
- User clicks on Submit button and is taken back to the home page
- Now the Movie Cards display the user's ratings
- User clicks on Movie Card and is taken to a detailed Movie page
- Details about the movie are displayed including the user's ratings
- User can click on Delete button to delete their current ratings
- User can select a rating and click on Rate button
Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.
See the open issues for a list of proposed features (and known issues).
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Fork the Project
-
Create your Feature Branch (
git checkout -b feature/AmazingFeature) -
Commit your Changes (
git commit -m 'Add some AmazingFeature') -
Push to the Branch (
git push origin feature/AmazingFeature) -
Open a Pull Request
👤 Nicole Latifi
- Github: NicoleLatifi
- LinkedIn: Nicole Latifi
👤 Tyler Haglund
- Github: relyt4me
- LinkedIn: Tyler Haglund
Original Project Link
This project was bootstrapped with Create React App
We also received a code review from mentor Jarrett Kong, and instructor Casey Dallavalle.