Skip to main content

Python工具集,包含飞书API、AutoDL API和日志工具

Project description

zdpytools

Python工具集,提供日志、飞书API和AutoDL API集成功能。

功能

  • 日志工具:基于loguru的简单易用的日志模块
  • 飞书API:飞书开放平台API的封装,支持多维表格操作
  • AutoDL API:基于httpx的AutoDL弹性部署API异步封装

安装

pip install zdpytools

使用示例

日志工具

from zdpytools.utils.log import logger

logger.info("这是一条信息日志")
logger.error("这是一条错误日志")

飞书API

import asyncio
from zdpytools.feishu import Feishu

async def example():
    fs = Feishu(app_id="你的飞书应用ID", app_secret="你的飞书应用密钥")
    try:
        # 查询多维表格记录
        result = await fs.bitable_records_search("app_token", "table_id")
        print(result)
    finally:
        await fs.close()

asyncio.run(example())

AutoDL API

import asyncio
from zdpytools.autodl import AutoDLClient
from zdpytools.utils.log import logger

async def example():
    # 可以直接传入token或者设置环境变量 AUTODL_TOKEN
    async with AutoDLClient() as client:
        try:
            # 获取GPU库存
            gpu_stock = await client.get_gpu_stock(
                region_sign="westDC2",
                cuda_v_from=117,
                cuda_v_to=128
            )

            for gpu_info in gpu_stock:
                for gpu_name, stock in gpu_info.items():
                    logger.info(f"GPU型号: {gpu_name}, 空闲数量: {stock.get('idle_gpu_num')}")
        except Exception as e:
            logger.error(f"获取GPU库存失败: {e}")

asyncio.run(example())

命名原则

根据 Python 的最佳实践和代码可读性,建议采用以下命名规范:

  1. 模块文件(.py文件)

    • 使用小写字母加下划线(snake_case)
    • 例如:feishu.py, webhook.py, const.py
    • 原因:这是 Python 社区的标准做法,符合 PEP 8 规范
  2. 类文件

    • 使用驼峰命名法(CamelCase)
    • 例如:BaseModel.py, FeishuBase.py
    • 原因:类名通常使用驼峰法,这样更容易识别类的定义
  3. 目录名

    • 使用小写字母加下划线
    • 例如:feishu/, utils/
    • 原因:保持与模块命名一致
  4. 特殊文件

    • __init__.py 保持原样(这是 Python 包的标准命名)
    • __pycache__ 保持原样(这是 Python 的标准目录)

这样的命名规范有以下优点:

  1. 符合 Python 社区规范
  2. 提高代码可读性
  3. 便于区分模块和类
  4. 保持一致性
  5. 避免命名冲突

封装更新

python build_package.py

许可证

MIT

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

zdpytools-0.1.18.tar.gz (27.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

zdpytools-0.1.18-py3-none-any.whl (33.5 kB view details)

Uploaded Python 3

File details

Details for the file zdpytools-0.1.18.tar.gz.

File metadata

  • Download URL: zdpytools-0.1.18.tar.gz
  • Upload date:
  • Size: 27.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for zdpytools-0.1.18.tar.gz
Algorithm Hash digest
SHA256 8341ce1ffbdc94cb91a106d3933e473a080968d224733d3d5636660df02d42df
MD5 2e1d76e383cb45a527a99e7cae767af9
BLAKE2b-256 c275481eb5642701bf20dd1bbe1708a4a8a0cb78866cfaa4b87f7ffa44ad8531

See more details on using hashes here.

File details

Details for the file zdpytools-0.1.18-py3-none-any.whl.

File metadata

  • Download URL: zdpytools-0.1.18-py3-none-any.whl
  • Upload date:
  • Size: 33.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.1.0 CPython/3.12.9

File hashes

Hashes for zdpytools-0.1.18-py3-none-any.whl
Algorithm Hash digest
SHA256 81fadf3d581bf16690409083d87b31b6ff9072a6c4eecbc05b65321a5e406072
MD5 e8ed7599e8f8f18eb98352058f481ed3
BLAKE2b-256 2657d322e88f2999c740e3b3a94037dfadc9ee5cdcf33389a7ab0122d4823f8f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page