Skip to main content

A script runner for the modern age.

Project description

Scrunkly

Scrunkly is a lightweight Python utility for defining and running scripts through a flexible command-line interface. It allows users to organize commonly used scripts into an easily maintainable dictionary, making script execution and management simpler.

Features

  • Script Management: Define scripts in a dictionary and run them via command line.
  • Sub-Scripts: Chain scripts together and run them in sequence.
  • Error Handling: Detect self-referencing scripts and prevent infinite loops.
  • Flexible Scripting: Supports both string-based and callable scripts.

Installation

You can install the required dependencies with pipenv:

pip install scrunkly

Usage

Define your scripts in a dictionary and pass it to scrunkly.scripts. You can map script names to shell commands or Python functions. Sub-scripts are supported, allowing a script to trigger other scripts in the map.

Here's an example usage:

# run.py
from scrunkly import scripts, py

def get_available_port() -> int:
    ...

def instructions():
    ...

scripts({
    "api:prod": f"{py} -m uvicorn api:app --host 0.0.0.0 --port {get_available_port()}",
    "api:dev": f"{py} -m uvicorn api:app --reload",
    "worker": f"{py} worker-runner.py",
    "install": f"{py} -m pipenv install",
    "mongo:dev": "docker run -d --name api-dev -p 27017:27017 mongo",
    "data-import": f"{py} ./scripts/part_data_import.py",
    "setup:dev": ["mongo:dev", "data-import", instructions],
})

Running a Script

You can run a script by providing its name as a command-line argument:

python run.py api:dev

This will execute the corresponding script, such as starting the API in development mode using Uvicorn.

Chaining Scripts

You can chain multiple scripts together using a list of script names. For example, the setup:dev script runs two scripts: mongo:dev and data-import:

python run.py setup:dev

Contributing

Feel free to fork this repository and submit pull requests. Contributions are welcome!

License

This project is licensed under the MIT License.


Happy scripting with Scrunkly!

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

scrunkly-0.1.3.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

scrunkly-0.1.3-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file scrunkly-0.1.3.tar.gz.

File metadata

  • Download URL: scrunkly-0.1.3.tar.gz
  • Upload date:
  • Size: 4.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for scrunkly-0.1.3.tar.gz
Algorithm Hash digest
SHA256 b09606b499d20bb76be5ea8fbb6416016dfe34d2e8e1a11a003f85065354903e
MD5 7f4ee146ea0225e28dc98d2edb5ffc46
BLAKE2b-256 bdf3ad26f54e5de6a71d85a9ffaaae5165a1cef36de3dbff6c60089ac1cda194

See more details on using hashes here.

File details

Details for the file scrunkly-0.1.3-py3-none-any.whl.

File metadata

  • Download URL: scrunkly-0.1.3-py3-none-any.whl
  • Upload date:
  • Size: 3.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.7

File hashes

Hashes for scrunkly-0.1.3-py3-none-any.whl
Algorithm Hash digest
SHA256 a36f29c4dc939b699e791a074fa67f477e6e3e2354489f5a1dcaf8038ddff552
MD5 607f930c63ac471853ac4884590c2bc7
BLAKE2b-256 322053629746d92d0a192cb78959b464ed15b1f1664ff67faa16d704af997607

See more details on using hashes here.

Supported by

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