TaskPulse

TaskPulse is a small, dependency-free Python package that turns a task list into a focused daily plan. It is designed for students and small project teams who want transparent prioritization without sending personal data to a service.

Project team

Group 24 (6/6 members)

• Tsz Hei CHUI
• Fong Kwan HUI
• David KWONG
• Sik Man LAM
• Hong Shing WONG
• Chun Hin YIU

Why it exists

Most task apps either require a hosted account or hide prioritization behind a complex interface. TaskPulse keeps the algorithm inspectable:

1. importance is explicit (LOW, MEDIUM, or HIGH);
2. approaching due dates add urgency;
3. shorter tasks win ties, making plans easier to finish;
4. tasks are packed into days without splitting a task across sessions.

The result is useful for study plans, sprint preparation, and a one-minute project demonstration.

Install

pip install taskpulse-24

For local development:

git clone https://github.com/OttoHui/taskpulse.git
cd taskpulse
pip install -e ".[dev]"  # or: pip install -e .
pytest

Python API

from datetime import date
from taskpulse import Priority, Task, schedule

tasks = [
    Task("Write project abstract", 45, Priority.HIGH, date(2026, 10, 10)),
    Task("Review references", 30, Priority.MEDIUM),
]

plan = schedule(tasks, daily_minutes=60, start=date(2026, 10, 7))
for day, items in plan.items():
    print(day, [item.title for item in items])

Command line

Create tasks.csv:

title,minutes,priority,due
Write project abstract,45,3,2026-10-10
Review references,30,2,

Then run:

taskpulse tasks.csv --daily-minutes 60

Project and collaboration

Suggested team split for Group 24:

• Tsz Hei CHUI: project coordination, requirements, and final integration.
• Fong Kwan HUI: core models, prioritization, and scheduling logic.
• David KWONG: command-line interface and user experience.
• Sik Man LAM: tests, edge cases, and quality checks.
• Hong Shing WONG: documentation, examples, and PyPI metadata.
• Chun Hin YIU: demo, presentation wiki, and release verification.

Make small commits by feature and review each other's pull requests. The published distribution is named taskpulse-24; its import name remains taskpulse.

One-minute demonstration

1. Show the two-row CSV (10 seconds).
2. Run taskpulse tasks.csv --daily-minutes 60 (15 seconds).
3. Explain that priority and due date determine order, while capacity determines the day (20 seconds).
4. Show the equivalent Python API and mention that no external service or dependency is required (15 seconds).

Roadmap

• optional weekend skipping;
• JSON input/output;
• calendar export;
• configurable scoring strategies.