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Python 开发规范,包含 PEP 8 风格、类型注解、异常处理、测试规范等

⭐62stars🔀7forks📁View on GitHub🕐Updated Jan 7, 2026

When & Why to Use This Skill

This Claude skill serves as a comprehensive authority on Python development best practices, aligning with PEP 8 and the Google Python Style Guide. It provides actionable standards for code formatting, static type checking, and robust error handling, ensuring that Python projects remain maintainable, scalable, and performant. By integrating modern toolchains like Ruff, Black, and Pytest, it helps developers transition from writing scripts to building professional-grade software architectures.

Use Cases

  • Standardizing codebase consistency across teams by enforcing PEP 8 naming conventions and automated formatting tools like Black and Isort.
  • Improving code reliability and developer experience through the implementation of strict type annotations and static analysis with MyPy or Pyright.
  • Designing resilient production systems using structured exception handling, custom error hierarchies, and parameterized logging practices.
  • Accelerating the testing lifecycle by establishing standardized Pytest configurations, including fixtures, mocks, and coverage reporting.
  • Optimizing application performance and concurrency using modern asynchronous programming patterns and efficient data handling techniques.
namepython-dev
descriptionPython 开发规范,包含 PEP 8 风格、类型注解、异常处理、测试规范等
versionv3.0

Python 开发规范

参考来源: PEP 8、Google Python Style Guide


工具链

# 格式化
black .                              # 代码格式化
isort .                              # import 排序

# 类型检查
mypy .                               # 静态类型检查
pyright .                            # 备选

# 代码检查
ruff check .                         # 快速 linter(推荐)
flake8 .                             # 传统 linter

# 测试
pytest -v                            # 运行测试
pytest --cov=src                     # 覆盖率

命名约定

类型 规则 示例
模块/包 小写下划线 user_service.py
类名 大驼峰 UserService, HttpClient
函数/变量 小写下划线 get_user_by_id, user_name
常量 全大写下划线 MAX_RETRY_COUNT
私有 单下划线前缀 _internal_method

类型注解

from typing import Optional, List, Dict, Union
from dataclasses import dataclass

@dataclass
class User:
    id: int
    name: str
    email: Optional[str] = None

def find_user_by_id(user_id: int) -> Optional[User]:
    """根据 ID 查找用户"""
    ...

def process_items(items: List[str]) -> Dict[str, int]:
    """处理项目列表"""
    return {item: len(item) for item in items}

# Python 3.10+ 可用新语法
def greet(name: str | None = None) -> str:
    return f"Hello, {name or 'World'}"

异常处理

# ✅ 好:捕获具体异常
try:
    user = repository.find_by_id(user_id)
except DatabaseError as e:
    logger.error(f"Failed to find user {user_id}: {e}")
    raise ServiceError(f"Database error: {e}") from e

# ✅ 好:上下文管理器
with open("file.txt", "r") as f:
    content = f.read()

# ❌ 差:裸 except
try:
    do_something()
except:  # 永远不要这样做
    pass

自定义异常

class ServiceError(Exception):
    """服务层异常基类"""
    def __init__(self, message: str, code: str = "UNKNOWN"):
        super().__init__(message)
        self.code = code

class UserNotFoundError(ServiceError):
    """用户不存在"""
    def __init__(self, user_id: int):
        super().__init__(f"User {user_id} not found", "USER_NOT_FOUND")
        self.user_id = user_id

日志规范

import logging

logger = logging.getLogger(__name__)

# ✅ 好:使用参数化日志
logger.debug("Finding user by id: %s", user_id)
logger.info("User %s logged in successfully", username)
logger.error("Failed to process order %s", order_id, exc_info=True)

# ❌ 差:f-string(即使不输出也会计算)
logger.debug(f"Finding user by id: {user_id}")

测试规范(pytest)

import pytest
from unittest.mock import Mock, patch

class TestUserService:
    @pytest.fixture
    def user_service(self):
        repository = Mock()
        return UserService(repository)

    def test_find_by_id_returns_user(self, user_service):
        # given
        expected = User(id=1, name="test")
        user_service.repository.find_by_id.return_value = expected

        # when
        result = user_service.find_by_id(1)

        # then
        assert result == expected
        user_service.repository.find_by_id.assert_called_once_with(1)

    def test_find_by_id_raises_when_not_found(self, user_service):
        # given
        user_service.repository.find_by_id.return_value = None

        # when/then
        with pytest.raises(UserNotFoundError):
            user_service.find_by_id(999)

# 参数化测试
@pytest.mark.parametrize("input,expected", [
    (1, 1),
    (2, 4),
    (3, 9),
])
def test_square(input, expected):
    assert square(input) == expected

异步编程

import asyncio
from typing import List

async def fetch_user(user_id: int) -> User:
    """异步获取用户"""
    async with aiohttp.ClientSession() as session:
        async with session.get(f"/api/users/{user_id}") as response:
            data = await response.json()
            return User(**data)

async def fetch_all_users(user_ids: List[int]) -> List[User]:
    """并发获取多个用户"""
    tasks = [fetch_user(uid) for uid in user_ids]
    return await asyncio.gather(*tasks)

# 限制并发数
async def fetch_with_limit(user_ids: List[int], limit: int = 10) -> List[User]:
    semaphore = asyncio.Semaphore(limit)

    async def fetch_one(uid: int) -> User:
        async with semaphore:
            return await fetch_user(uid)

    return await asyncio.gather(*[fetch_one(uid) for uid in user_ids])

项目结构

project/
├── src/
│   └── myproject/
│       ├── __init__.py
│       ├── models/
│       ├── services/
│       ├── repositories/
│       └── utils/
├── tests/
│   ├── __init__.py
│   ├── conftest.py
│   └── test_*.py
├── pyproject.toml
├── requirements.txt
└── README.md

依赖管理

# pyproject.toml (推荐)
[project]
name = "myproject"
version = "1.0.0"
dependencies = [
    "fastapi>=0.100.0",
    "sqlalchemy>=2.0.0",
]

[project.optional-dependencies]
dev = [
    "pytest>=7.0.0",
    "black>=23.0.0",
    "mypy>=1.0.0",
]

性能优化

场景 方案
大数据处理 使用生成器 yield
字符串拼接 使用 ''.join()
查找操作 使用 set 或 dict
并发 I/O 使用 asyncio
CPU 密集 使用 multiprocessing
# ✅ 使用生成器
def read_large_file(file_path: str):
    with open(file_path, 'r') as f:
        for line in f:
            yield line.strip()

# ✅ 高效字符串拼接
result = ''.join(strings)  # 而不是 += 循环

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