ghosty-teammate 0.0.9

A ghost teammate bot that pretends to work but does absolutely nothing.

Python Package Exercise

Ghosty: Your Ghost Teammate Bot

PyPI Project Page: https://pypi.org/project/ghosty-teammate/

Ghosty is a Python package that simulates a ghost teammate — the kind who gets assigned tasks, never does anything, and always has an excuse. Install it, assign Ghosty some work, and watch absolutely nothing happen.

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Installation

pip install ghosty-teammate

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Usage

greet(presence=None, intent=None, teammate=None, blocker=None)

Ghosty greets the team. All parameters are optional — calling with no arguments returns a random message.

• presence (str): "active" or "reappearing" — affects the opening tone
• intent (str): one of "catch_up", "ask_about_teammate", "promise_progress", "encourage", "question_minor_detail"
• teammate (str): name to mention when intent is "ask_about_teammate"
• blocker (str): blocker to mention when intent is "promise_progress"

from ghosty import ghosty

ghosty.greet()
ghosty.greet(presence="active", intent="ask_about_teammate", teammate="Alice")
ghosty.greet(presence="reappearing", intent="promise_progress", blocker="a merge conflict")

assign(task_name, hours, category="medium")

Assign Ghosty a task. It will be logged to the task board and promptly ignored.

• task_name (str): Name of the task
• hours (int/float): Estimated hours
• category (str): Priority level — "low", "medium", "high", or "critical". Default: "medium"

ghosty.assign("Fix login bug", 3, category="high")
ghosty.assign("Write documentation", 2, category="low")

check_in(task_name=None, include_completed=False)

View the task board. Pass a task name to see details on a specific task, or leave it empty to see everything.

• task_name (str): Optional — name of a specific task to view
• include_completed (bool): Whether to show completed tasks. Default: False

ghosty.check_in()                              # view all active tasks
ghosty.check_in("Fix login bug")               # view one task
ghosty.check_in(include_completed=True)        # include completed tasks

nudge(task_name, scold=False, tired=False)

Nudge Ghosty on a specific task. Each regular nudge increases progress by 20%; with scolding, the progress is increased by 30%; with tiredness, it increases 10% only. If it possible that Ghosty would get slack once the progress is over 60%. It would also become angry if you nudge and scold it more than 3 times, or nudge and scold it when it is tired. Without a nudge, nothing will ever happen.

• task_name (str): Name of the task to nudge
• scold (bool): Whether or not if you want to push and scold Ghosty for work
• tired (bool): Whether or not if Ghosty is tired

ghosty.nudge("Fix login bug")

`IAmSorry(task_name)

A function that lets you say sorry to Ghosty. If ghosty is angry, it wuld get back to work after you say sorry. If it is not angry, it would consider you a weirdo.

• task_name (str): Name of the task

ghosty.IAmSorry("Fix login bug")

excuse(reason, seriousness="medium")

Ask Ghosty to justify why no progress has been made.

• reason (str): The excuse text
• seriousness (str): How serious the excuse is — "low", "medium", or "high". Default: "medium"

ghosty.excuse("my cat sat on my keyboard", seriousness="medium")
ghosty.excuse("the wifi stopped believing in me", seriousness="high")

remove_task(task_name)

Remove a specific task from the board.

• task_name (str): Name of the task to remove

ghosty.remove_task("Fix login bug")

clear_completed()

Remove all tasks that have reached 100% progress.

ghosty.clear_completed()

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Example Program

See src/ghosty/__main__.py for a complete example using all functions.

Run it with:

python -m ghosty

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Contributing

Setup

git clone https://github.com/swe-students-spring2026/3-package-blue_whale.git
cd 3-package-blue_whale
pipenv install --dev
pipenv shell

Running Tests

pipenv run pytest

Building the Package

pipenv run python -m build

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Configuration

This project does not use any secret configuration files such as .env or similar files. No additional configuration is required to run or contribute to this project.

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Team

• Celia Liang
• Mumu Li
• Xiongfeng Li
• Meili Liang
• Hanxi Li