This is a university project for the International University of Applied Sciences in the subject Object-Oriented and Functional Programming with Python. The task was to develop a backend solution for a habit tracker app.
Object-Oriented Programming (OOP) is required in habit.py, while the rest of the code follows a functional programming approach.
-Implementation of an easy-to-use CLI.
-Any frequency greater than 1 day can be used.
-Computes streaks and struggles.
-A professional storage solution like SQLite3 was used.
-Check completion is possible at any time between the habit creation and today.
These are the strings that have to be input in your terminal to install the packages to run this code.
pip install pytest
If the above commands doesn't work you should try with:
pip3 install pytest
-If you want to use it without predefined data, you just have to run main.py and interact with the CLI.
-If you want to use it with the predefined data, predefined_data.py must be executed before main.py. In both cases, main.db will be the db, and if you do both the data will be merged without any problem.
-If tests are run, you do not have to worry about your current database information, as an alternate test.db is created for this purpose.
Running test_habit.py executes all functions that users can interact with. Only positive cases are considered, as all possible failures are handled in main.py and the analytics.py module.
Go to Habit tracker
Eric Ristol
Developed as part of the Object-Oriented and Functional Programming with Python course (DLBDSOOFPP01) in the International University of Applied Sciences.
