A simple web app built with Express.js that searches for food that the user desires from MDining dining halls within a specified date range.
The app works by getting data from the UMich Student Life API, and storing the food data in a remote MongoDB server for quick retrieval.
- Go to the MDiner
- Type in what you would like to eat
- Select a date range (or use the default range)
- Click ✅ and I hope you find what you're looking for!
To run the web app locally
- Install the following dependencies
- Install Node.js
- Run
npm installoryarn installto install Express.js and other dependencies
- Run the app by running
npm run devoryarn dev
- Fork it!
- Create your feature branch:
git checkout -b my-new-feature - Commit your changes:
git commit -am 'Add some feature' - Push to the branch:
git push origin my-new-feature - Submit a pull request :D
- 1.0.0
- Migrated codebase from Flask on Python to Express.js on Node.js. Project deployed to https://mdiner.now.sh
- 0.3.2
- Deployed code to Digital Ocean and linked to free domain https://www.mdiner.ml (for a year)
- 0.3.1
- Made UI more responsive to screen sizes
- 0.3.0
- Got inspiration from @wenhoong's School of Information project and implemented caching in MDiningScraper to avoid overloading the MDining server and to improve runtime
- 0.2.1
- Revamped user interface with the help of a friend who did a mockup on Sketch
- 0.2.0
- Succesfully built barebones user interface on Flask and deployed to Heroku
- Reverted to non-threading algorithm because Heroku's free tier doesn't support threading well
- 0.1.1
- Experimented with threading to speed up results
- Threading drastically reduces runtime when running command line interface locally
- 0.1.0
- Succesfully built a webscraper with Beautiful Soup to search dining halls for desired food and return results in a command line interface
This project is licensed under the GNU General Public License v3.0 or later - see the COPYING file for details