MealSquare API v3.0

MealSquare API v3.0

The third release revolves around creating a stable, production ready release that is also up and running on GCP.

Features

• Authorization added
  → Firebase authentication was added. The provided interface AuthenticationHandler also makes it easy to use a different Authorization Service. Any authenticated user can create new Meals, but only the creator or admin users can update or delete a Meal.
• API published
  → The API can now be accessed via https://api.mealsquare.peermaute.com. Feel free to fill the database with some new recipes!
• Meals contain images now
  → The Meal.class has a new field "image" so an image file can be stored for any Meal.
• API Documentation
  → The API is now documented using the OpenAPI standard. A .yaml file can be found here. The new welcome page of the website also contains a link to an HTML version.

What else is there to note?

• CI/CD-Pipeline is now fully set up. The release contains a Dockerfile that makes it easy to implement.
• MealSquare got its own logo. Check the README.md or the website to check it out!

MealSquare v2.0

MealSquare v2.0

The second release expands the features of the first release and fixed some issues.

Features

• Meal must not contain ingredient
  → Feature to filter that meals do not contain given ingredient
• Create Meal Plan
  → You can now create a meal plan.
  This meal plan can be customized by using the filter feature and specifying the number of days (default 5).
• Read CSV file
  → Reading CSV files is now possible. Other file formats can be easily added with using the interface (not planned for now).

What else is there to note?

• Fixed pipeline issue (MongoDB tests could only be run locally)
• The next release will focus on bringing the backend live

MealSquare v1.0

MealSquare v1.0

This first release includes the backend and revolves around single meals.
Meal plans and frontend will be added in a future release.

Features

• CRUD operations
• Filter meals by:
  • name
  • carb base (for example "noodles")
  • contains a certain ingredient (for example "carrots")
  • tags (for example "mediterranean")
  • maximum preparation time
• REST API

What else is there to note?

• The MongoDB is currently connected to a cloud database. This is configured with a connection string in the application.properties file.
• The functionalities are tested with JUnit tests.