task-scheduler-x 1.0.22

A CLI-based Task Scheduling Application

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 .

• package is also availabole at PyPI under the name task-scheduler-x
• it can be installed using

pip install task-scheduler-x

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:

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

To build the docker image run:

docker build -t task-scheduler .

Requirements

• Python 3.7+
• colorama
• urwid
• pytest (for testing)

Remarks and Recommendations for Users

• using the view_next command is the fastest way to view details about the next scheduled task

• each scheduler instance stores two data files: schedule_state.json (storing all information input by the user), schedule.json (storing the result of the latest scheduling).

  • rescheduling happens automatically after all kinds of edits and operations, not upon calling the command view_schedule or view_next however! This commands loads directly the schedule.json file, thus removing the need of schedule recalculation in series of view_schedule calls
  • you can use the command schedule_tasks to recalculate your schedule - this command also lists impossible-to-schedule tasks in the terminal assuming your current settings

• it may be a good idea to occasionally save a version of your scheduler. For this purpose the command merge can be used. Example: task-scheduler merge -n MySchedule_backup -ns MySchedule

• note that the order in which subtasks are added to a task is respected in scheduling. This is useful in situations when subtasks depend on the completion of preceding subtasks

• it only has an effect to edit completion/duration attributes of leaf tasks (tasks with 0 subtasks) since these attributes of tasks higher in the hierarchy are calculated based on those of the leaf tasks

• conversely, it only has an effect to edit deadlines of top-level tasks (highest in the task hierarchy). Deadlines of the rest of the tasks always corresponds to that of their ancestor

• the view_calendar command only shows the number of tasks and total completion of tasks (weighed by duration) having deadlines on each given day (note: not being scheduled on but having a deadline on). To show more details about individual tasks due by a given day use common_deadline. Exapmle: task-scheduler common_deadline MySchedule -m 12 -d 25 (if you leave out the -m option the current month is chosen by default)

• this application requires that vim be installed on your system. In certain scenarios, vim motions can be more efficient than editing your settings through interactive mode e.g. adding multiple time slots. You can use the command update_time_slots to edit/add/remove your time slots using the vim interface. Another example would be editing deadline/description of a specific task. This you can too achieve through the vim interface using the update_task command leaving out the argument for the option --name/--description/--deadline. Example: task-scheduler update_task MySchedule MyTask --description

• a colorful terminal application is required to get color-coded outputs in terminal

• the application was so far tuned mainly for Unix-based operating systems (it works in windows as well but operations in the interactive mode are recommended to be carried out mainly by mouse clicks to avoid lag)

• the pip installs the source files and the JSON data files in two separate directories. Consequently, upon reinstalling the package your data are not deleted from the file system on your machine. If you want to uninstall for good the data files have to be deleted manually - pip -V command can be used to find the path to the package installation. Then look for the data/ directory.

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