ProductivePy

ProductivePy is a productivity tool for Python developers that helps automate repetitive running code tasks and saves time.

Installation

To install ProductivePy, run the following command:

• Install required modules.

$ pip3 install typer typing colorama prettytable secrets

• Clone the productivePy Github repository.

$ git clone "https://github.com/UltronTheAI/productivePy.git"

• Copy the productivePy.py file from ./productivePy/productivePy.py in to your project.

$ cp ./productivePy/productivePy.py "path to your project"

• Go to your project.

$ cd "Your project"

• Create new python file, and run it with ProductivePy.

$ python3 productivePy.py run $fileName

Commands

ProductivePy supports the following commands:

• run: Run a Python file
• re-run: Re-run the last Python file that was run
• status: Show the status of running tasks
• stop: Stop a running task
• stopAll: Stop all running tasks

Options

ProductivePy supports the following options:

• --version: Get the version of ProductivePy
• --dealy: Set a timeout for running a file after updating
• --args: Add arguments to the command used to run the file
• --clear: Clear the screen before re-running a file
• --autostart: Auto-restart a file after it ends

Command and Options, Examples

• To run a python file.

$ python3 productivePy.py run $fileName

• Status

$ python3 productivePy.py status

• Re-run, you can get id, by running status command, or searching id from productivePy.json, file in your project dir.

$ python3 productivePy.py re-run $id

• Stop, this command takes id, to stop the running process.

$ python3 productivePy.py stop $id

• stopAll, this command will stop all running processes.

$ python3 productivePy.py stopAll

• --clear argument, this argument will clear your screen after your code re-runs, when updated.

$ python3 productivePy.py run $fileName --clear

• --dealy, this argument set up the dealy, between shifting from running file to re-run it.

$ python3 productivePy.py run $fileName --dealy 4

• --autostart, this argument, autostart's your running process, when it is finished.

$ python3 productivePy.py run $fileName --autostart

• --args, this argument add the extra args, => python3 $fileName $args

$ python3 productivePy.py run $fileName --args $args

Website

https://ultrontheai.github.io/productivePy/

Install productivePy, on linux

$ git clone "https://github.com/UltronTheAI/productivePy.git"

$ chmod +x install_on_linux.sh

$ ./install_on_linux.sh

Authors

• @UltronTheAI

License

ProductivePy is released under the MIT License. See LICENSE for more information.