mensatoday / mensa-today

Daily mensa recommendations for students and lecturers in Münster/Germany.

MensaToday - Your Dish Recommender in Münster

The University of Münster is a distributed across the city with various canteens and bistros that serve different ranges of food which change weekly. As a student who eats at those places frequently, you have to look through all dishes of every canteen to find a meal that serves your needs. The idea this recommender system is to suggest mensa meals based on various different factors, such as your eating habits, location (based on semester schedule), weather and many more. You can get a demo here from February 23, 2023.

Contributing

See our contributing guidelines for detailed information about testing, documentation and project setup.

Celery

Celery is an open source asynchronous task queue or job queue, which is based on distributed message passing. While it supports scheduling, its focus lies on operations in real time. Celery is used in combination with the message broker redis. For more information, please refer to Celery docs.

Data Structure

last updated on 30th December 2022

mensa-today's Issues

Card Balance API Frontend Implementation

api call

Implement Logout API Call in Frontend

How to create recommendations based on the data

card balance

Navbar & Footer

• logout in nav (visual)
• card balance in nav (visual)
• basic footer

my-mensa data collection

Including saving into DB.

Return dish url with get_dishes

Finalize Intro-Quiz

• Stepper for Dishes
• x button to delete allergy selection (clearable, not single elemnent is deletable. Could be done here, but I would have to restructure code a lot. Not worth it)
• Error if no food preferences are entered

Catch Different Types of Errors and Display Them Correspondingly (Login, Register etc.)

Week Recommendation: Only 1 Dish Per Day

Card Balance

Highlight dish price red, if they are more expensive than card balance
"charge balance" if too low
if too low: card balance red
if 5€ (=1 meal): orange,
else card balance in nav green

Return user data (e.g., Card ID, email, id)

Create ERM model for data sources/workflows

learnweb data-collection

learnweb courses -> course information (time, location, ...)

Klarna data-collection

Write logout function

API endpoint to store user ratings

How to connect front- & backend (API calls with Axios/Ajax)

What to do in the frontend and backend
https://blog.logrocket.com/how-to-build-vue-js-app-django-rest-framework/#setting-up-cors-api-policy

how to identify user to make user-specific requests: CSRF / JWT tokens, session ID?

dockerize vue frontend

https://v2.vuejs.org/v2/cookbook/dockerize-vuejs-app.html

check authorization before allowing a user to visit a page

Encrypt/Decrypt ziv password

It might be complicated to set up an https connection. Therefore I would recommend to encrypt the passwords. In vue.js the jsencyrpt plugin can be used: https://www.npmjs.com/package/jsencrypt
In python the encrypted string can be decrypted by the secret key. Here is shown how it can be done https://stackoverflow.com/a/57054030

Calculate Distances between Mensa and Room

to get the long and lat this api can be used: https://nominatim.openstreetmap.org/search?q=Leonardo-Campus 18&format=json&polygon=1&addressdetails=1

get/save chefkoch/google image urls to dishes

Basic recommendation site with wireframes

Create API end point to receive recommendations

For this also a new recommendations data table has to be created

Quiz site with wireframes

Create django rest api

implement get_dishplan api endpoint

return balance api endpoint

imensa data collection

Including saving into DB.

weather data-collection

Create basic homepage

The homepage include basic information about the recommender system and the possibility to login. After the login another page should be displayed. The structure of the page should be discussed in upcoming sessions.

There should be a basic template page with a nav-bar and a footer where other subpages are based on

Replace Placeholder Data with Recommendations

Verify JWT token in backend

Create user login and register option

Login with username and password as well as a register function, where the user provides basic information. Other information about food preferences will be collected afterwards in a small quiz. Both should be saved in one data table called users or in two separate tables (to be discussed).

Add proxy to python requests

Without the proxy option no requests can be send. Therefore for each request proxy parameters has to be defined: https://www.scrapingbee.com/blog/python-requests-proxy/

Create first demo presentation slides

Create Slides for flash talk

Create Projectstructure

Define general structure of django project and where to put python scripts

card balance in nav (functionality)

Mensa manual data-collection

Information about all Münster Mensen

Create data structure with all data sources

What data do we need and where do we get this data from

logout

Return Allergies and Additives with get_dish_plan api endpoint

wwu rooms data-collection

Fetching data at the end of a month results in an error

Script to save/prepare all necessary data

Save quiz data and create user (register)

API Endpoint to retrieve all dishes for the next week

The result should be a json list in the following format:

[
  {
    'id': int,
    'name': str,
    'mensa': str,
    'date': date,
    'overall_rating': float
  }
]

Recommendation calculations