python-dev

name	python-dev
description	Python 开发规范，包含 PEP 8 风格、类型注解、异常处理、测试规范等
version	v3.0
paths	["**/*.py","**/pyproject.toml","**/requirements.txt","**/setup.py","**/Pipfile"]

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):
     square() == 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)

      asyncio.gather(*[fetch_one(uid)  uid  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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