Habit Grower App

Habit Grower App is a Python based habit tracking application that allows user to create, manage and analyze personal habits. The application is displayed with an intuitive Tkinter-based GUI where user can track habits, get insights of his progress and analyze the evolution of their habits.

The app uses SQLite3 for local data storage and retrieval.

REQUIREMENTS

• Python 3.x
• SQLite 3 (included in the python standard library)
• TKINTER (included in the python standard library)
• pytest 7.2.0

INSTALLATION

1. Install required packages:

   pip install -r requirements.txt

2. ensure Python's standard library includes "SQLite3" and "Tkinter"

RUNNING THE APPLICATION

Start the application by running "main.py":

python main.py

RUNNING THE APPLICATION WITH PRELOADED TEST DATA

For testing purposes, you can also use the main_preload_data.py file to run the app with a set of preloaded sample habits. to do this, execute:

python main_preload_data.py

HOW TO USE THE HABIT GROWER APP

1. Create a Habit: Click create habit to add a new habit that you want to track. Enter the habit's name, description,periodicity (daily or weekly)

2. Edit a Habit: Click edit habit to modify the description or periodicity of an existing habit. Note: For avoid problems with the database, edit the name of the habit is not possible, you can delete the habit and recreate it.

3. Delete Habit: select delete habit and enter the name of the habit you want to remove.

4. Show Habit Info:click show habit info to see details about a specific habit.

5. Marking Habit Completed: Use mark habit completed to log each time you complete a habit. Note: Habit will be mark as completed for the current day.

6. Analytical Functions:

• Show All Tracked Habits: View a list of all habits being tracked.
• Show Habits By Periodicity: List habits by daily or weekly periodicity
• Longest Streak Across All Habits: display the habit with the historical longest completion streak
• Longest Streak For Each Habit: View the historical longest streak for each individual habit.

CREDITS

this project was developed by Louis Greive for the Object-Oriented and Functional programming with Python course at IU University. Special thanks to Prof. Dr. Max Pumperla whose tutorials were instrumental in the project's development.