:rocket: lautpy — 常用工具类 :facepunch:
轻量的 Python 工具集：管道式数据处理 + 日期/路径/哈希等常用工具函数。核心零强制依赖，第三方库（numpy/pandas/scikit-learn 等）按需可选。
Install
pip install -U lautpy
Pipe 管道工具
from lautpy.pipe import *
# Unix 风格管道：data | func1 | func2
[1, 2, 3, 4] | xmap_(lambda x: x * 2) | xfilter_(lambda x: x > 3) # [4, 6, 8]
# 进度条 + 日志 + 计时
for i in range(5) | xtqdm:
logger.info("这是一个进度条")
with timer('LOG'):
logger.info("打印一条log所花费的时间")
常用管道（约定：尾部下划线 = 立即求值返回 list）：
| 类别 | 管道 |
|---|---|
| 类型转换 | xtuple xlist xset xarray |
| 高阶函数 | xmap xmap_ xfilter xfilter_ xenumerate xchain xchain_ xreduce xdrop xdrop_ |
| 字典 | xchain_dict xDictValues xDictRemove xgetitem xitemgetter |
| 分组/去重 | xgroup xUnique xUniquePlus xHashBins xsort xCounter xCounterUpdate xBloomFilter |
| 并发 | xJobs xThreadPoolExecutor xProcessPoolExecutor xAsyncio |
| 字符串 | xjoin xstartswith xendswith xsse_parser |
其他模块
from lautpy import dates, hashing, paths
# 日期（纯标准库）
dates.date_difference(days=1) # 昨天
dates.timestamp2str(time.time()) # 时间戳 -> 字符串
dates.get_nday_list(7) # 过去 7 天
# 哈希 / AB 实验（murmurhash 需 scikit-learn）
hashing.md5("key:value")
hashing.murmurhash(bins=100) # 与 Java Guava 口径一致
hashing.ABTest(expid='10001', ranger=(0, 99)).is_hit("userid")
hashing.hash_bins(values, bins=4) # 稳定哈希分桶
hashing.BloomFilter(capacity=10**6) # 纯标准库布隆过滤器
# 路径 / 配置（yaml 支持需 pyyaml）
paths.file2json("config.yaml") # json/yaml -> dict
paths.path2list("dir", "*.txt") # 文件/目录展开
装饰器 / 通知 / LLM 客户端
from lautpy import decorators, notice, llm
# 装饰器（retry 需 tenacity，其余纯标准库）
@decorators.retrying(max_retries=3) # 指数退避重试，耗尽后 reraise
@decorators.timeout(30) # 超时抛 TimeoutError
@decorators.background_task # 后台执行，返回 Future，异常记日志
@decorators.ratelimit(calls=5, period=1) # 滑动窗口限流
def flaky_api(): ...
# 群机器人通知（webhook 走环境变量：WECOM_WEBHOOK_URL / FEISHU_WEBHOOK_URL）
notice.wecom("部署完成", title="CI")
notice.feishu(["任务1 ✓", "任务2 ✓"], title="日报")
# OpenAI 兼容客户端工厂（openai 可选依赖；密钥走 <SVC>_API_KEY / <SVC>_BASE_URL）
client = llm.openai_client("moonshot") # 任意 openai 兼容服务
API 封装（lautpy.apis）
密钥一律走环境变量，源码中零硬编码；HTTP 统一带超时与自动重试：
import os
from lautpy.apis import get_api_key, request
from lautpy.apis.tools import shorten_url, data2qrcodeurl
from lautpy.apis.niutrans import translate
os.environ["NIUTRANS_API_KEY"] = "..." # 或在 shell / .env 中配置
translate("你好", "auto", "en") # NiuTrans 翻译
shorten_url("https://example.com/...") # 无需密钥的短链/二维码工具
设计约定
import lautpy零第三方强制依赖，无导入副作用- 第三方依赖的管道函数在库缺失时自动不可用，不影响其余功能
from lautpy.pipe import *仅导出公共 API（__all__），不泄漏实现细节
License
Apache-2.0
1 maintainer
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