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A CLI-based Task Scheduling Application

Project description

Task Scheduler

A CLI-based task scheduling application with interactive mode and visualization capabilities.

Features

  • Create/manage multiple independent schedulers
  • Define time slots with start/end times
  • Create tasks with deadlines, durations, and descriptions
  • Hierarchical task management with subtasks
  • Multiple visualization modes:
  • Gantt chart view
  • Calendar view
  • progress bars
  • deadline warnings
  • Automatic task scheduling with deadline awareness
  • Interactive terminal UI
  • Docker container support
  • JSON-based persistent storage

Installation

Local Installation (pip)

git clone https://github.com/yourusername/task_scheduler.git
cd task_scheduler
pip install -e .

Docker Installation

# Build image
docker build -t task-scheduler .

# Run with default command
docker run -it task-scheduler

# Run with specific command
docker run -it task-scheduler view_schedule MySchedule

Basic Usage

CLI Commands

Create new scheduler

task-scheduler create --name MySchedule

Add time slot

task-scheduler add_time_slot MySchedule
--start_time 2024-03-01T09:00
--end_time 2024-03-01T11:00

Add task with subtasks

task-scheduler add_task MySchedule
--name "Project X"
--description "Main project"
--duration 300
--deadline 2024-03-15T17:00

Generate schedule

task-scheduler schedule_tasks MySchedule

View visualizations

task-scheduler view_gantt MySchedule task-scheduler view_calendar MySchedule --month 3

Interactive Mode

Launch with:

task-scheduler interactive MySchedule

Controls:

↑/↓ - Navigate tasks

Enter - Select task

a - Add new task

m - Move task mode

q - Quit

Features:

Visual task hierarchy

Vim-based task editing

Drag-and-drop reorganization

Real-time progress updates

Color-coded deadlines

Controls:

Navigation

↑/↓ - Navigate items in focused panel Tab - Switch between task/time slot panels clicking on a task - selects the task

Actions

Enter - Select task/time slot a - Add new task/time slot (depending on focused panel) m - Enter move mode (tasks) / Modify slot (time slots)

General

q - Quit application

Key Features:

Dual-Pane Interface

📋 Left Panel - Task Hierarchy:
  • Visual tree structure with nested subtasks
⏱️ Right Panel - Time Slot Management:
  • Chronological schedule view
  • Duration calculations with time slot validation
  • Enhanced Editing
  • In-line time slot modification with instant validation
  • Drag-and-drop reorganization (tasks)
  • Keyboard-based time slot adjustments

New Features

  • Split-screen workflow management
  • Cross-panel task/time slot associations
  • Real-time schedule validation
  • Visual focus indicators (highlighted panel borders)
  • Smart time slot sorting and gap detection

Feedback & Safety

  • Instant save confirmation toasts
  • Undo/redo stack for critical operations

Data Format

data format for information fully describing the scheduler instance - JSON

example:

{
  "schedule_name": "MySchedule",
  "time_slots": [
    {
      "start_time": "2024-03-01T09:00:00",
      "end_time": "2024-03-01T11:00:00"
    }
  ],
  "tasks": [
    {
      "name": "Design Phase",
      "description": "Initial design work",
      "deadline": "2024-03-05T17:00:00",
      "duration": 360,
      "completion": 45,
      "subtasks": [
        {
          "name": "UI Mockups",
          "duration": 120,
          "completion": 75
        }
      ]
    }
  ]
}

Visualisation Examples

Gantt Chart

task-scheduler view_gantt MySchedule

Calendar View

task-scheduler view_calendar MySchedule --month 3

Task Progress

task-scheduler view_task MySchedule "Design Phase"

output:

=== Task Details: Design Phase ===

Name: Design Phase Deadline: 2024-03-05T17:00:00 Completion: 45.0% Duration: 360 min Subtasks: ['UI Mockups'] Description: Initial design work

Testing

python -m pytest tests/ -v

Docker Support

The Docker image includes:

Pre-configured Python environment

Automatic dependency installation

Persistent data storage

Built-in test execution

To mount local data directory:

To build the docker image run:

docker build -t task-scheduler .
docker run -v $(pwd)/data:/app/data -it task-scheduler

Requirements

Python 3.7+

colorama

urwid

pytest (for testing)

Contributing

Fork the repository

Create your feature branch (git checkout -b feature/awesome-feature)

Commit your changes (git commit -am 'Add awesome feature')

Push to the branch (git push origin feature/awesome-feature)

Open a Pull Request

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