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py-refactor

vndee/engineering-skills/.claude/skills/py-refactor/SKILL.md

Use when refactoring Python code, cleaning up legacy codebases, optimizing performance, enforcing type safety, or improving clean architecture in a FastAPI backend

Skill3 starsChanged 7 months ago

What's in it

  1. Python Refactoring & Performance
  2. Overview
  3. Safe Refactoring Process
  4. Architecture Enforcement
  5. Common Refactoring Moves
  6. Protocol Over ABC
  7. Async Optimization
  8. SQLAlchemy Query Optimization
  9. Performance Profiling
  10. mypy Strict Compliance
  11. Legacy Code Rescue
  12. Step 1: Characterize Before Touching
  13. Step 2: Add Types Incrementally
  14. Step 3: Identify the Worst Offenders
  15. Step 4: Strangler Fig Pattern
  16. Step 5: Fix Dangerous Patterns
  17. Step 6: Remove Dead Code
  18. Chains
---
name: py-refactor
description: Use when refactoring Python code, cleaning up legacy codebases, optimizing performance, enforcing type safety, or improving clean architecture in a FastAPI backend
---

# Python Refactoring & Performance

## Overview

Safe refactoring patterns, type safety enforcement, and performance optimization for Python/FastAPI backends.

**Core principle:** Never refactor without characterization tests. Never optimize without profiling. Always improve type coverage.

**3-strikes rule:** If the same refactoring approach fails 3 times, stop. The problem is architectural — escalate to `system-design` for a deeper review instead of thrashing.

## Safe Refactoring Process

1. **Write characterization tests** — capture current behavior
2. **Run mypy** — baseline type errors
3. **Refactor** — change structure, preserve behavior
4. **Verify** — tests pass, mypy errors same or fewer
5. **Clean up** — remove temporary tests if redundant

## Architecture Enforcement

```bash
# Domain should not import infrastructure
grep -r "from src.infrastructure\|from sqlalchemy\|from fastapi" src/domain/

# Application should not import infrastructure
grep -r "from src.infrastructure\|from sqlalchemy" src/application/
```

## Common Refactoring Moves

| Smell | Move |
|-------|------|
| Fat router | Extract use case class |
| ABC with single impl | Use Protocol instead |
| Inheritance hierarchy | Composition with Protocol |
| Sync blocking calls | async with `asyncio.gather` |
| Untyped dict passing | Pydantic model or dataclass |
| God class | Split into focused services |

## Protocol Over ABC

```python
# Before: ABC (tight coupling)
from abc import ABC, abstractmethod
class UserRepository(ABC):
    @abstractmethod
    async def create(self, user: User) -> User: ...

# After: Protocol (structural typing)
from typing import Protocol
class UserRepository(Protocol):
    async def create(self, user: User) -> User: ...
```

## Async Optimization

```python
# Bad: sequential I/O
users = await user_repo.list()
posts = await post_repo.list()

# Good: concurrent I/O
users, posts = await asyncio.gather(
    user_repo.list(),
    post_repo.list(),
)
```

## SQLAlchemy Query Optimization

```python
# N+1 detection: enable echo
engine = create_async_engine(url, echo=True)

# Fix N+1 with eager loading
from sqlalchemy.orm import selectinload, joinedload

stmt = select(UserModel).options(selectinload(UserModel.posts))

# joinedload for single related object
stmt = select(PostModel).options(joinedload(PostModel.author))
```

## Performance Profiling

```bash
# py-spy for flamegraphs
py-spy record -o profile.svg --pid $(pgrep uvicorn)

# cProfile for function-level
python -m cProfile -o output.prof -m pytest tests/
```

## mypy Strict Compliance

```bash
# Find remaining type errors
mypy src/ --strict 2>&1 | head -50

# Common fixes:
# - Add return type annotations
# - Replace Any with specific types
# - Add type: ignore[specific-error] with comment explaining why
```

## Legacy Code Rescue

When working with legacy Python code — untyped, untested, messy:

### Step 1: Characterize Before Touching

```python
# Characterization test: capture current behavior as-is
def test_legacy_create_user_current_behavior():
    """Documents what legacy code ACTUALLY does — not what it should do."""
    result = legacy_create_user({"email": "test@test.com"})
    assert result["id"] is not None  # whatever it currently returns
    assert result["email"] == "test@test.com"
```

**Never refactor untested code.** Add characterization tests first.

### Step 2: Add Types Incrementally

Don't try to type the whole codebase at once. Start with boundaries:

```python
# 1. Type the public API first (routers, service interfaces)
async def create_user(body: CreateUserRequest) -> UserResponse: ...

# 2. Then type domain entities
@dataclass
class User:
    id: UUID
    email: str
    name: str

# 3. Then type infrastructure (repos, clients)
class UserRepository(Protocol):
    async def create(self, user: User) -> User: ...

# 4. Run mypy incrementally
mypy src/interfaces/ --strict     # start here
mypy src/domain/ --strict         # then here
mypy src/ --strict                # goal
```

### Step 3: Identify the Worst Offenders

Prioritize by risk:
1. **Bare `except:` or `except Exception:`** — hiding real errors
2. **SQL string concatenation** — SQL injection, fix immediately
3. **No input validation** — user data flows unchecked into DB
4. **God files (500+ lines)** — split by responsibility
5. **Sync blocking in async** — `time.sleep()`, sync DB calls in async handlers
6. **Untyped dict passing** — replace with Pydantic models or dataclasses

### Step 4: Strangler Fig Pattern

```python
# 1. Extract protocol from legacy code
class UserService(Protocol):
    async def create(self, data: CreateUserInput) -> User: ...

# 2. Legacy class implements protocol (add type annotations)
class LegacyUserService:
    async def create(self, data: CreateUserInput) -> User:
        # existing messy code stays for now
        ...

# 3. New clean implementation
class CleanUserService:
    def __init__(self, repo: UserRepository) -> None:
        self._repo = repo

    async def create(self, data: CreateUserInput) -> User:
        user = User.from_input(data)
        return await self._repo.create(user)

# 4. Swap via dependency injection
def get_user_service() -> UserService:
    return CleanUserService(repo=PostgresUserRepository(session))
```

### Step 5: Fix Dangerous Patterns

```python
# Before: bare except hides bugs
try:
    result = do_something()
except:
    pass

# After: specific exceptions, proper logging
try:
    result = do_something()
except ValueError as e:
    logger.warning("Invalid input", error=str(e))
    raise
except DatabaseError as e:
    logger.error("Database failure", error=str(e))
    raise
```

### Step 6: Remove Dead Code

```bash
# Find dead code
uvx vulture src/

# Find unused imports
ruff check --select F401 .
```

**Delete it.** Git has history.

## Chains

- **REQUIRED:** Use `superpowers:systematic-debugging` for performance investigation
- **REQUIRED:** Write characterization tests before any refactoring — no exceptions
- **REQUIRED:** Update CLAUDE.md with discovered gotchas and conventions (`claude-md`)
- **Legacy codebases:** Run `fullstack-healthcheck` first to prioritize what to fix

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