Taskwarrior Python Script: Decrease Priority Tag for Pending Tasks in Projects with 3 or More Completed Tasks Today

We are about to embark on a journey to create a Python script that will dynamically lower the priority tag of pending tasks within projects that exhibit progress with at least three completed tasks on the current day.

What will you learn?

Through this comprehensive guide, you will master the art of manipulating task priorities based on specific conditions in Taskwarrior using a sophisticated Python script.

Introduction to the Problem and Solution

Imagine the convenience of automating the process of adjusting priority tags for pending tasks within projects that demonstrate substantial progress with three or more completed tasks. Our solution involves crafting a custom Python script that seamlessly interacts with Taskwarrior’s database, enabling us to update task properties efficiently.

To tackle this challenge effectively, we will: 1. Retrieve information about all pending tasks within our projects. 2. Identify projects with three or more completed tasks on the current day. 3. Lower the priority tag of remaining pending tasks within these qualifying projects.


# Import necessary modules
import subprocess

# Define function to retrieve project names with 3 or more completed tasks today
def get_projects_with_completed_tasks():
    # Execute Taskwarrior command to list project names meeting criteria
    command = "task +completed end.before:tomorrow.active.project:" \
              "| cut -d ' ' -f 1 | sort | uniq -c | awk '$1 >= 3 {print $2}'"
    result = subprocess.check_output(command, shell=True).decode().splitlines()

    return result

# Lower priority tag for pending tasks in qualified projects
def decrease_priority_for_pending_tasks(projects):
    for project in projects:
        command = f"task +project:{project} status:pending mod \
                    -- '{'priority:-1'}'"
        subprocess.run(command, shell=True)

# Get all project names meeting criteria
qualified_projects = get_projects_with_completed_tasks()

# Lower priority tags for pending taks in qualified projects

# Copyright PHD

Note: Ensure Taskwarrior is installed and configured before executing this script.

Explanation – Utilize subprocess module to run Taskwarrior commands from within the Python script. – The function get_projects_with_completed_tasks() fetches project names with three or more completed tasks. – Another function decrease_priority_for_pending_tasks() lowers priority tags for pending tasks within qualifying projects.

    How can I install Taskwarrior?

    Taskwarrior can typically be installed using package managers like Homebrew (Mac), apt (Ubuntu), dnf (Fedora), etc.

    Can I run this script on Windows?

    Yes, but additional setup like installing WSL (Windows Subsystem for Linux) along with Taskwarrior may be required.

    Will this script modify my existing data?

    The script only adjusts task priorities based on specified conditions without altering other task attributes or data.

    Is it possible to customize priority adjustments further?

    Absolutely! You have full flexibility to tailor the logic inside the functions as per your specific priority adjustment requirements.

    How often should I run this script?

    You can schedule it using cron jobs or any automation tool based on your workflow frequency and preferences.

    Does this code handle potential errors during execution?

    While error handling mechanisms are not included here for simplicity, you can enhance it by incorporating appropriate try-except blocks as needed.


    In conclusion…

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