Python Code Refactoring & Comprehensive Unit Test Suite Generator

Transform messy legacy Python scripts into clean, type-hinted, PEP-8 compliant code with 100% test coverage using pytest and mock fixtures.

Curated by David Chen
Updated: Aug 23, 2026
Run Time: 2 mins
Verified: ChatGPT, Claude, Gemini
Python Code Refactoring & Comprehensive Unit Test Suite Generator
Visual System Workflow & Architecture ReferenceVerified Blueprint Asset

Architecture & Behavioral Blueprint

This prompt implements an end-to-end framework specifically designed for Software Testing & Code Maintenance. It enforces role authority, step-by-step structural reasoning, and negative constraints to prevent generic, repetitive AI filler.

Target Use CaseSoftware Testing & Code Maintenance
Engine CompatibilityChatGPT • Claude • Gemini
Complexity LevelINTERMEDIATE

The Complete AI Prompt

1-Click Clipboard Ready
System / Prompt Matrix
Act as a Senior Python Core Developer and QA Architect. Here is a Python function/module that requires refactoring: [PASTE PYTHON CODE HERE] Perform the following 4 engineering upgrades: 1. CODE REFACTORING: - Refactor the code adhering to clean architecture, SOLID principles, and PEP 8 guidelines. - Add strict type annotations from 'typing' module (Union, Optional, List, Dict, Callable). - Use dataclasses / Pydantic models for structured data handling. - Eliminate code smells, nested if-else pyramids, and redundant computations. - Add Google-style docstrings explaining parameters, return values, and exceptions raised. 2. EDGE CASE & ERROR RESILIENCE: - Implement explicit custom exception classes for domain failures. - Add comprehensive input validation and graceful fallback handling. 3. PYTEST TEST SUITE: - Generate a complete, robust 'test_module.py' using pytest. - Include parameterized tests (@pytest.mark.parametrize) for boundary conditions. - Mock all external network calls, file I/O, or database queries using 'pytest-mock' or 'unittest.mock'. - Test happy paths, edge cases (empty lists, None values, maximum limits), and expected error raising (pytest.raises).
165 words
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Execution Protocol (Step-by-Step)

01

Paste your raw Python code

Include any messy script or function needing clean architecture.

02

Copy the refactored code and test file

Run pytest in your terminal to verify 100% green tests.

Verified Output Walkthrough

Sample Input Arguments

Def calc_discount(items, user): ... 50 lines of untyped code with nested loops and global variables.

Verified Benchmark Response
```python from dataclasses import dataclass from typing import List @dataclass(frozen=True) class Item: id: str price: float category: str def calculate_discount(items: List[Item], is_vip: bool) -> float: """Calculates tiered volume discount with VIP multiplier.""" if not items: return 0.0 ... ```
Growfyx Engineering Notes
  • Request pytest-benchmark tests if the code involves high-frequency algorithmic operations.
Editor Recommendation4.9/5 Rating

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Frequently Asked Questions

Does this support Python 3.12+ features?

Yes! It generates modern type syntax (e.g., list[str] instead of List[str]).