semvec/pypi-packages huggingface dataset:
py-stepchain 0.1.2
Composable chain-of-steps orchestrator with context passing, logging, retries, and validation.
License: MIT
Requires Python: >=3.10
Keywords: chain, contextmanager, orchestration, pipeline, steps

# StepChain 🪢

> **Composable step orchestrator for Python.**  
> Write clean, declarative pipelines for synchronous **and** asynchronous workflows — with retries, validation, logging, and hooks — all in a tiny, dependency-free package.

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[![PyPI version](https://img.shields.io/pypi/v/py-stepchain.svg)](https://pypi.org/project/py-stepchain/)
[![Python versions](https://img.shields.io/pypi/pyversions/py-stepchain.svg)](https://pypi.org/project/py-stepchain/)
![License](https://img.shields.io/pypi/l/py-stepchain)
[![CI](https://github.com/inderdevbhumi82-prog/stepchain/actions/workflows/ci.yml/badge.svg)](https://github.com/inderdevbhumi82-prog/stepchain/actions/workflows/ci.yml)

---

📚 Docs: https://inderdevbhumi82-prog.github.io/stepchain/
daedal-nerdynamegen 0.1.0
A nerdy name generator with SQLite database support
License: MIT
Requires Python: <4.0,>=3.8

# Python Package Template

This sample repo contains the recommended structure for a Python package.

## Setup Instructions 

This sample makes use of Dev Containers, in order to leverage this setup, make sure you have [Docker installed](https://www.docker.com/products/docker-desktop).

The code in this repo aims to follow Python style guidelines as outlined in [PEP 8](https://peps.python.org/pep-0008/).

To successfully run this example, we recommend the following VS Code extensions:

- [Dev Containers](https://marketplace.visualstudio.com/items?itemName=ms-vscode-remote.remote-containers)
- [Python](https://marketplace.visualstudio.com/items?itemName=ms-python.python)
- [Python Debugger](https://marketplace.visualstudio.com/items?itemName=ms-python.debugpy)
- [Pylance](https://marketplace.visualstudio.com/items?itemName=ms-python.vscode-pylance) 

In addition to these extension there a few settings that are also useful to enable. You can enable to following settings by opening the Settings editor (`Ctrl+,`) and searching for the following settings:

- Python > Analysis > **Type Checking Mode** : `basic`
- Python > Analysis > Inlay Hints: **Function Return Types** : `enable`
- Python > Analysis > Inlay Hints: **Variable Types** : `enable`

## Running the Sample
- Open the template folder in VS Code (**File** > **Open Folder...**)
- Open the Command Palette in VS Code (**View > Command Palette...**) and run the **Dev Container: Reopen in Container** command
- Run the app using the Run and Debug view
- To test, navigate to the Test Panel to configure your Python test or by triggering the **Python: Configure Tests** command from the Command Palette
- Run tests in the Test Panel or by clicking the Play Button next to the individual tests in the `test_date_time.py` and `test_developer.py` files