pysnips 0.1.2

A production-quality Python CLI for code templates

PySnips

PySnips is a high-performance, production-quality CLI tool designed to accelerate Python development. It provides a library of 50+ expertly crafted code templates spanning from core language syntax to advanced Machine Learning and AI Full-Stack architectures.

---

Key Features

• 50+ Specialized Templates: Instantly generate boilerplate for Basic Python, ML, Deep Learning, and FastAPI.
• Dynamic Injection: Fully customizable snippets using CLI flags (e.g., --name MyModel --lr 0.01).
• Zero Dependencies: Built entirely on the Python Standard Library for maximum compatibility and minimal footprint.
• Clean Architecture: Engineered with a modular registry system, making it easy to extend and maintain.
• Developer First: Outputs clean, PEP-8 compliant code directly to your terminal or into a file.

---

Installation

The easiest way to install PySnips is via pip:

pip install pysnips

Install from Source

For development or local modifications:

git clone https://github.com/anusha-b2803/pysnips.git
cd pysnips
pip install -e .

---

Quick Start

1. Explore Available Snippets

List all 50+ available commands categorized by domain:

pysnips list

2. Generate a Python Function

pysnips func --name calculate_metrics --args "data, threshold"

3. Scaffold a FastAPI Application

Generate a complete API boilerplate and save it directly to a file:

pysnips fastapi-app --title "Predictive Analytics API" > main.py

4. Build a Machine Learning Pipeline

pysnips random-forest --n_estimators 200 > train.py

---

Category Overview

Category	Description	Examples
BASIC	Core Python syntax & control flow	for, tryfull, listcomp
MACHINE LEARNING	Scikit-learn model boilerplates	svm, random-forest, pca
DEEP LEARNING	Keras/TensorFlow architectures	cnn-image, lstm, nn-train
ML PIPELINE	Data engineering & preprocessing	scaler, train-test, pipeline
AI FULL-STACK	FastAPI, DB connections & Logging	fastapi-app, db-connect, ml-api

---

Project Architecture

PySnips is built with scalability in mind:

• pysnips/cli.py: Advanced argument parsing and UI handling.
• pysnips/registry.py: Centralized template management system.
• pysnips/generator.py: Regex-powered dynamic template engine.
• pysnips/utils/: Enhanced console formatting and color support.

---

Deployment

To package and distribute PySnips:

1. Build Distribution:

   python -m build
   

2. Upload to PyPI:

   python -m twine upload dist/*
   

---

License

Distributed under the MIT License. See LICENSE for more information.

---

Built for the Python Community