Todo Tracker

A powerful git-styled CLI-based todo task tracker with versioning, attachments, and Kanban visualization.

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Features

• Task Management: Create, update, and manage tasks with descriptions, deadlines, and statuses.
• Task Storage: Tasks are stored locally in a git-like repository.
• Versioning: Every change to a task is versioned. You can view the full history of a task and revert to previous states (conceptually).
• Attachments: Attach files to tasks. Files are stored efficiently using content-addressable storage (deduplication).
• Aliases: Tasks are assigned human-readable aliases (e.g., Misty-Rat) for easier reference than UUIDs.
• Kanban Board: Visualize your tasks in a terminal-based Kanban board.
• Archiving: Archive completed or stale tasks to keep your active list clean.
• GPT Integration: Use in combination with GPT Agents to track progress and generate project summaries.
• JSON Dump: Export your data to JSON for backup or analysis.

Installation

Ensure you have Python 3.8+ installed.

1. Clone the repository:

   git clone https://github.com/gwr3n/todo-tracker.git
   cd todo-tracker

2. Install the package:

   pip install .

3. Or install from PyPI:

   pip install todo-tracker

Usage

The main command is todo.

Basic Operations

• Add a task:

  todo add "Buy groceries" --deadline 2023-12-31

• List tasks:

  todo list
  todo list --all  # Include archived tasks

  

• Show task details:

  todo show <task_id_or_alias>

• Update a task:

  todo update <id> --status "in-progress" --desc "Buy organic groceries"

Attachments

• Attach a file:

  todo attach <id> ./path/to/file.txt

• Extract an attachment:

  todo extract <id> file.txt --output ./downloaded_file.txt

Organization & Visualization

• Kanban View:

  todo kanban pending in-progress done

  

• Archive/Unarchive:

  todo archive <id>
  todo unarchive <id>

• Delete:

  todo delete <id>

Advanced

• View History:

  todo history <id>

• Duplicate Task:

  todo duplicate <id>

• Dump Data:

  todo dump --output backup.json
  todo dump --history --all --output full_backup.json

Data Storage

Data is stored in a .todo_store directory in the current working directory. This directory contains:

• objects/: Content-addressable storage for task versions and attachment blobs.
• refs/: References to the current version of each task.
• orchestrator.lock: Lock file to ensure data integrity during concurrent access.

Development

To run tests:

pytest

License

This project is licensed under the MIT License - see the LICENSE file for details.