Time Tracker App

Introduction

Welcome to the Time Tracker App. It works with a CSV file, and it stores data on the time we've spent working on projects for different clients. When the app is run, it loads data from the CSV and presents users with a menu. We can:

• Start tracking time we're spending on project for a client (which is reflected in the CSV)
• Stop tracking time on a project we're currently working on (also reflected in the CSV)
• Calculate the total times we've spent on a client by entering their ID when prompted
  • And we can choose to see data from a specific date range
  • Or within the X number of days
  • Or simply retrieve all the data we have from that client

Much of the logic and navigation of the app has already been written by other developers of your team. Your job is to complete the datetime related functions of the app. It is recommended to explore the files to see what data you have to work with.

Getting started:

1. Create a virtual environment for this project
2. Install dateutil (the PPI name is python-dateutil!)
3. Tackle the three datetime related functions below

Your mission, should you choose to accept it:

1. start_tracking() and stop_tracking() in functions.py - Start and stop time tracking
2. display_all_totals() in functions.py - Calculate and display all tracked time for a client
3. display_range_totals() and display_x_days_totals() - Filter, calculate and display tracked time

Extra challenges

• Create a helper function that returns "now" as a datetime string. Both start_tracking() and stop_tracking() can use this
• In display_range_totals(), it's possible that the user used an invalid date string. Catch any exceptions
• Create one function used to take a client and client job list to calculate and display data.
• Use list comprehension, filter(), and lambda to filter through client jobs and date ranges

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Created for the Team Treehouse Python Dates and Times (2023) course