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Python 函数式编程工具集

Project description

vools - Python 函数式编程工具集

PyPI version Python versions License

一个强大的 Python 函数式编程工具集,提供装饰器、函数式编程工具、数据处理工具、响应式编程等。

特性

  • 装饰器: memorize、once、lazy、retry、curry、overload 等
  • 函数式编程: Seq、Ops、管道操作、占位符、箭头函数
  • 数据处理: 链式序列操作、列表/文本增强工具
  • 响应式编程: Observable、Subject、丰富的操作符
  • 任务调度: TaskQueue、WorkerPool、DAG 调度器
  • 序列化: 支持 JSON、MsgPack、Pickle 等多种格式
  • 编码/加密: Base64、URL 编码、哈希函数

安装

pip install vools

或从源码安装:

git clone https://github.com/vicTop-cw/vools.git
cd vools
pip install .

环境要求

  • Python 3.9+

依赖

  • wrapt >= 1.14
  • attrs >= 22.1

快速开始

装饰器

from vools import memorize, once, retry, overload

# 缓存装饰器
@memorize(duration=60)
def expensive_function(x):
    return x ** 2

# 只执行一次
@once
def initialize():
    return 42

# 重试装饰器
@retry(times=3, delay=1)
def risky_operation():
    pass

# 函数重载
@overload
def process(x: int) -> int:
    return x * 2

@process.register
def process(x: str) -> str:
    return x.upper()

函数式编程

from vools import Seq, Ops, _, g, iif, pipe

# Seq 链式操作
result = Seq(range(10)).filter(lambda x: x % 2 == 0).map(lambda x: x * 2).collect()
# [0, 4, 8, 12, 16]

# Ops 管道操作
result = range(10) | Ops.filter(lambda x: x > 3) | Ops.map(lambda x: x * 2) | Ops.sum()
# 84

# 占位符
f = _ + 1
print(f(2))  # 3

# 箭头函数
f = g("x, y => x + y")
print(f(3, 4))  # 7

# 条件表达式
result = iif(True, "yes", "no")  # "yes"

柯里化

from vools import curry, stuff

@curry
def add(a, b, c):
    return a + b + c

print(add(1)(2)(3))  # 6

@stuff
def multiply(a, b):
    return a * b

result = multiply(2)(3)()
print(result)  # 6

响应式编程

from vools import Observable

# 创建 Observable
obs = Observable.from_iterable([1, 2, 3, 4, 5])

# 链式操作符
result = []
obs.pipe(
    Ops.filter(lambda x: x % 2 == 0),
    Ops.map(lambda x: x * 2),
    Ops.take(2)
).subscribe(lambda x: result.append(x))

print(result)  # [4, 8]

项目结构

vools/
├── cache/           # 缓存装饰器
│   ├── memorize     # 时间缓存
│   ├── once         # 单次执行
│   ├── persist      # 持久化缓存
│   └── sigcache     # 签名缓存
├── core/            # 核心模块
├── crypto/          # 加密模块
├── curried/         # 柯里化函数库
│   ├── collection   # 集合操作
│   ├── composition  # 函数组合
│   ├── iteration    # 迭代操作
│   ├── math         # 数学运算
│   ├── predicate    # 谓词函数
│   └── string       # 字符串操作
├── data/            # 数据处理
│   ├── seq          # Seq 序列操作
│   ├── vlist        # VList 增强列表
│   └── vtext        # VText 增强文本
├── datetime/        # 日期时间工具
├── decorators/      # 装饰器
├── encoding/        # 编码解码
├── functional/      # 函数式工具
│   ├── box          # Box 包装器
│   ├── pipe_ops     # 管道操作符
│   ├── placeholder  # 占位符
│   └── result       # Result 类型
├── oop/             # OOP 工具
├── reactive/        # 响应式编程
│   ├── core         # Observable、Subject
│   ├── monitoring   # 系统监控
│   └── operators    # 操作符
├── recorder/        # 录制回放
├── security/        # 安全模块
├── serialize/       # 序列化
├── task/           # 任务调度
└── utils/          # 通用工具

API 概览

装饰器

装饰器 说明
memorize(duration=N) 时间缓存
once() 单次执行
lazy() 延迟执行
repeat(cnt, delay) 重复执行
retry(times, delay) 失败重试
curry() 柯里化
overload() 函数重载
stuff() 分步柯里化

函数式工具

工具 说明
Seq(iterable) 链式序列操作
Ops 管道操作符
P(func) 管道函数包装
_, _1, _2, _3 占位符
g("x, y => ...") 箭头函数
iif(cond, t, f) 条件表达式
Box(obj) 对象包装器

数据类型

类型 说明
VList(list) 增强列表
VText(str) 增强文本
VDate 日期处理

响应式

类型 说明
Observable 可观察对象
Subject 主题
BehaviorSubject 行为主题
ReplaySubject 回放主题

详细文档

更新日志

详细的版本更新记录请查看 changelog 目录。

贡献

欢迎提交 Issue 和 Pull Request!

  1. Fork 项目
  2. 创建功能分支 (git checkout -b feature/AmazingFeature)
  3. 提交更改 (git commit -m 'Add AmazingFeature')
  4. 推送到分支 (git push origin feature/AmazingFeature)
  5. 打开 Pull Request

许可证

Apache License 2.0 - 详见 LICENSE 文件

联系方式

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