Skip to main content

A Python package for managing clipboard, window info, services, and APIs with GUI interfaces

Project description

Abstract Parallels (v0.0.1)

Abstract Parallels is a Python package that provides GUI-based tools for managing clipboard data, window information, systemd services, and APIs. It includes a dashboard for launching various components and a systemd service manager for remote service monitoring and control.

Features

  • Clipboard Watcher: Monitors clipboard changes and provides a GUI interface.
  • Window Info GUI: Displays information about active windows.
  • Services Manager: A PyQt5-based GUI for viewing and managing remote systemd services via SSH.
  • API GUI: Interface for interacting with APIs (placeholder implementation).
  • Interactive Dashboard: A bash-driven menu to launch different components.

Installation

Install the package using pip:

pip install abstract_parallels

Dependencies

  • Python >= 3.6
  • flask
  • paramiko
  • PyQt5
  • Bash (for shell scripts)
  • systemd (for service management)

Usage

After installation, use the provided commands to launch components. These commands are available globally thanks to entry points.

Launch the Dashboard

abstract-parallels-dashboard

This opens an interactive menu to select components like the Clipboard Watcher, Window Info GUI, or both.

Manage Systemd Services

abstract-parallels-service-manager

This launches the PyQt5-based service viewer for remote systemd service management.

Setup All Services

abstract-parallels-setup

This installs and starts all components as user systemd services.

Available Commands

Run the setup script with different arguments:

abstract-parallels-setup            # Install and start all services
abstract-parallels-setup start      # Start all services
abstract-parallels-setup stop       # Stop all services
abstract-parallels-setup restart    # Restart all services
abstract-parallels-setup status     # Show service status
abstract-parallels-setup logs       # View service logs

Modules

  • abstract_parallels.apis: API GUI functionality.
  • abstract_parallels.clipit: Clipboard monitoring tools.
  • abstract_parallels.services_mgr: Systemd service management GUI.
  • abstract_parallels.window_mgr: Window information GUI.

Development

To contribute or modify the package:

  1. Clone the repository (if available).
  2. Install dependencies: pip install -r requirements.txt.
  3. Build the package: python -m build.
  4. Install locally: pip install ..

License

MIT License. See LICENSE for details.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

abstract_parallels-0.0.404.tar.gz (13.3 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

abstract_parallels-0.0.404-py3-none-any.whl (16.5 kB view details)

Uploaded Python 3

File details

Details for the file abstract_parallels-0.0.404.tar.gz.

File metadata

  • Download URL: abstract_parallels-0.0.404.tar.gz
  • Upload date:
  • Size: 13.3 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.4

File hashes

Hashes for abstract_parallels-0.0.404.tar.gz
Algorithm Hash digest
SHA256 1ad65fded448bcd71e57a4fed3038b23e2ac9ee0e89cd6d99b26540eb918a2dd
MD5 414bf57df5d9bf2e3a6108b99001225c
BLAKE2b-256 f3f107f105bf3387e456017e5cd1ad07cd8e833ed9cb003e94d1a5c1f10337c5

See more details on using hashes here.

File details

Details for the file abstract_parallels-0.0.404-py3-none-any.whl.

File metadata

File hashes

Hashes for abstract_parallels-0.0.404-py3-none-any.whl
Algorithm Hash digest
SHA256 e2cbe24b0e327c3be283b46348ea30993732ef86f5c97fe4f5a8611c5cef80eb
MD5 e4527a4a04c13e5aa4c2869af82e48b9
BLAKE2b-256 912f8bb23a25313a372dcbca567f206ddb7f02cdddc928048c87ba333827f992

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page