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-0.1.1.tar.gz (4.8 kB view details)

Uploaded Source

Built Distribution

scrunkly-0.1.1-py3-none-any.whl (3.8 kB view details)

Uploaded Python 3

File details

Details for the file scrunkly-0.1.1.tar.gz.

File metadata

  • Download URL: scrunkly-0.1.1.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-0.1.1.tar.gz
Algorithm Hash digest
SHA256 f6cfeb8b897e83e4b1cad917dd86307eed413eb6277a80de8308f6a363054c5c
MD5 48c6595a9f7f1fc2872de0597bb8f8ae
BLAKE2b-256 e6425734606f19e2748057faf645c0147cf5409ac914d1c3e20ee000a5dfa79e

See more details on using hashes here.

File details

Details for the file scrunkly-0.1.1-py3-none-any.whl.

File metadata

  • Download URL: scrunkly-0.1.1-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-0.1.1-py3-none-any.whl
Algorithm Hash digest
SHA256 881012499322f3a5fced32c270df8c0e94ea4081ede4b824ba466ec93ba77c43
MD5 71055becc309d260912b1efef1bf2b31
BLAKE2b-256 750920b16203416a9d1ec7a24cd44a00704d86fc2188c53a49b572d560c8f072

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