py-executable-checklist 0.11.0

Helper classes to develop executable workflow scripts

Executable Workflow

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Documentation: https://namuan.github.io/py-executable-checklist

Source Code: https://github.com/namuan/py-executable-checklist

PyPI: https://pypi.org/project/py-executable-checklist/

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Helper classes to develop executable workflow scripts

Installation

pip install py-executable-checklist

Example Usage

import logging
from argparse import ArgumentParser, RawDescriptionHelpFormatter

from py_executable_checklist.workflow import run_workflow, WorkflowBase


# Common functions across steps

# Workflow steps

class DoSomething(WorkflowBase):
    """
    Go to this page
    Copy the command
    Run the command
    Copy the output and paste it into the email
    """

    username: str

    def execute(self):
        logging.info(f"Hello {self.username}")

        # output
        return {"greetings": f"Hello {self.username}"}


# Workflow definition


def workflow():
    return [
        DoSomething,
    ]


# Boilerplate


def parse_args():
    parser = ArgumentParser(
        description=__doc__, formatter_class=RawDescriptionHelpFormatter
    )
    parser.add_argument("-u", "--username", type=str, required=True, help="User name")
    parser.add_argument(
        "-v",
        "--verbose",
        action="store_true",
        default=False,
        dest="verbose",
        help="Display context variables at each step",
    )
    return parser.parse_args()


def main(args):
    context = args.__dict__
    run_workflow(context, workflow())


if __name__ == "__main__":
    args = parse_args()
    main(args)

Development

• Clone this repository
• Requirements:
  • Poetry
  • Python 3.7+
• Create a virtual environment and install the dependencies

poetry install

• Activate the virtual environment

poetry shell

Validating build

make build

Release process

A release is automatically published when a new version is bumped using make bump. See .github/workflows/build.yml for more details. Once the release is published, .github/workflows/publish.yml will automatically publish it to PyPI.