semvec/pypi-packages huggingface dataset:
types-jsonschema 4.26.0.20260202
Typing stubs for jsonschema
Requires Python: >=3.9

## Typing stubs for jsonschema

This is a [type stub package](https://typing.python.org/en/latest/tutorials/external_libraries.html)
for the [`jsonschema`](https://github.com/python-jsonschema/jsonschema) package. It can be used by type checkers
to check code that uses `jsonschema`. This version of
`types-jsonschema` aims to provide accurate annotations for
`jsonschema~=4.26.0`.

This package is part of the [typeshed project](https://github.com/python/typeshed).
All fixes for types and metadata should be contributed there.
See [the README](https://github.com/python/typeshed/blob/main/README.md)
for more details. The source for this package can be found in the
[`stubs/jsonschema`](https://github.com/python/typeshed/tree/main/stubs/jsonschema)
directory.

This package was tested with the following type checkers:
* [mypy](https://github.com/python/mypy/) 1.19.1
* [pyright](https://github.com/microsoft/pyright) 1.1.408

It was generated from typeshed commit
[`c01356380fd56b42aa49a0aac8a320437fc7f7b9`](https://github.com/python/typeshed/commit/c01356380fd56b42aa49a0aac8a320437fc7f7b9).
pylib-test 0.0.11
py utils lib
Requires Python: >=3.9

# pylib Package

This is a py utils lib package, here are log and lots of methods.
All methods you can see in file methods.py.

# Usage
```python
from pylib.log import log
log.debug('msg')
log.info('msg')
log.warning('msg')
log.error('msg')
log.critical('msg')
log.log('DEBUG', 'msg')
log.log('INFO', 'msg')
log.log('WARNING', 'msg')
log.log('ERROR', 'msg')
log.log('CRITICAL', 'msg', silence=True)

from pylib.methods import Methods
Methods.get_stack_funcs()
data_desensitived = Methods.mask_sensitive_data(dict_data)
```
tjsp_correcao_monetaria 0.1.2
Funções para obter e atualizar as taxas do TJSP, necessárias para cálculos de correção monetária dos débitos judiciais
Requires Python: >=3.11
Keywords: débitos judiciais, correção monetária, tjsp, multas

# Correção Monetária de Débitos Judiciais

[![Repo](https://img.shields.io/badge/GitHub-repo-blue?logo=github&logoColor=f5f5f5)](https://github.com/michelmetran/tjsp_correcao_monetaria)
[![Read the Docs](https://img.shields.io/readthedocs/tjsp_correcao_monetaria?logo=ReadTheDocs&label=Read%20The%20Docs)](https://tjsp-correcao-monetaria.readthedocs.io)<br>
[![Publish Python to PyPI](https://github.com/michelmetran/tjsp_correcao_monetaria/actions/workflows/publish-to-pypi-uv.yml/badge.svg)](https://github.com/michelmetran/tjsp_correcao_monetaria/actions/workflows/publish-to-pypi-uv.yml)
[![PyPI](https://img.shields.io/pypi/v/tjsp-correcao-monetaria?logo=pypi&label=PyPI&color=blue)](https://pypi.org/project/tjsp-correcao-monetaria/)
[![PyPI Test](https://img.shields.io/pypi/v/tjsp-correcao-monetaria?logo=pypi&server=test&label=PyPI%20Test&color=orange)](https://test.pypi.org/project/tjsp-correcao-monetaria/)

O [Tribunal de Justiça do Estado de São Paulo](https://www.tjsp.jus.br/) disponibiliza mensalmente as taxas para calcular a correção monetária de multas e débitos judiciais. As taxas atualizadas são divulgadas por meio de um arquivo em formato _.pdf_, intitulado [TabelaDebitosJudiciais.pdf](https://api.tjsp.jus.br/Handlers/Handler/FileFetch.ashx?codigo=177683).

![Photo by [**Sasun Bughdaryan**](https://unsplash.com/@sasun1990?utm_source=unsplash&utm_medium=referral&utm_content=creditCopyText) on [Unsplash](https://unsplash.com)](/docs/assets/imgs/sasun-bughdaryan.jpg)

<br>

No início do projeto, em novembro de 2021, a tabela estava disponível na _url_:

- [https://www.tjsp.jus.br/Download/Tabelas/TabelaDebitosJudiciais.pdf](https://www.tjsp.jus.br/Download/Tabelas/TabelaDebitosJudiciais.pdf)

<br>

Em janeiro de 2025, refatorando o projeto, ajustei para a mudança para a _url_ [Tabelas Práticas para Atualização Monetária (Publicado DJE)](https://www.tjsp.jus.br/PrimeiraInstancia/CalculosJudiciais/Comunicado?codigoComunicado=2524&pagina=1)

Especificamente, na [Tabela Prática de Atualização Monetária dos Débitos Judiciais - Lei nº 14.905/24](https://api.tjsp.jus.br/Handlers/Handler/FileFetch.ashx?codigo=178456)

<br>

O repositório [tjsp_correcao_monetaria](https://github.com/michelmetran/tjsp_correcao_monetaria) objetivou criar uma função para converter esse arquivo _.pdf_ em formato tabular (_.csv_) e disponibilizar isso de maneira facilitada, por meio de um servidor, com atualização periódica!
qq-music-mcp 0.1.0
QQ Music MCP Server - QQ Music API for LLMs
Requires Python: >=3.10
Keywords: ai, claude, llm, mcp, qq-music

# QQ Music MCP Server

一个基于 MCP (Model Context Protocol) 的 QQ 音乐 API 服务器，让大语言模型能够搜索音乐、获取歌曲信息、歌词和播放链接。

## 安装

```bash
# 使用 pip
pip install qq-music-mcp

# 或使用 uv
uv pip install qq-music-mcp
```

## 在 Claude Desktop 中使用

编辑 Claude Desktop 配置文件：

- macOS: `~/Library/Application Support/Claude/claude_desktop_config.json`
- Windows: `%AppData%\Claude\claude_desktop_config.json`

添加以下配置：

```json
{
  "mcpServers": {
    "qq-music": {
      "command": "uvx",
      "args": ["qq-music-mcp"]
    }
  }
}
```

或者如果使用 pip 安装：

```json
{
  "mcpServers": {
    "qq-music": {
      "command": "qq-music-mcp"
    }
  }
}
```

然后重启 Claude Desktop。

## 功能

提供以下 MCP Tools：

| Tool 名称 | 描述 |
|-----------|------|
| `search_music` | 搜索歌曲、专辑、歌单等 |
| `get_song_detail` | 获取歌曲详情 |
| `get_song_quality` | 获取歌曲可用音质 |
| `get_lyric` | 获取歌词 |
| `get_song_url` | 获取单首歌曲播放链接 |
| `get_batch_song_urls` | 批量获取歌曲播放链接 |
| `get_album_detail` | 获取专辑详情 |
| `get_album_songs` | 获取专辑歌曲列表 |
| `get_playlist_detail` | 获取歌单详情 |
| `get_album_cover` | 获取专辑封面 URL |

## VIP 内容访问

如需获取 VIP 歌曲的高品质播放链接，请设置环境变量：

```bash
export QQ_MUSIC_COOKIE="your_qq_music_cookie_here"
```

或在 Claude Desktop 配置中添加：

```json
{
  "mcpServers": {
    "qq-music": {
      "command": "uvx",
      "args": ["qq-music-mcp"],
      "env": {
        "QQ_MUSIC_COOKIE": "your_cookie_here"
      }
    }
  }
}
```

获取 Cookie 的步骤：
1. 打开浏览器访问 https://y.qq.com
2. 登录你的 QQ 账号
3. 打开开发者工具 (F12) -> Application -> Cookies
4. 复制完整的 Cookie 字符串

## 音质类型说明

| 音质代码 | 说明 |
|----------|------|
| `m4a` | AAC 格式 |
| `128` | 128kbps MP3 |
| `320` | 320kbps MP3 |
| `flac` | FLAC 无损 |
| `ape` | APE 无损 |
| `hires` | 臻品母带 (24bit/192kHz) |
| `atmos` | 臻品全景声 (Dolby Atmos) |

## 开发

```bash
# 克隆项目
git clone https://github.com/yourusername/qq-music-mcp.git
cd qq-music-mcp

# 安装依赖
uv sync

# 运行测试
uv run mcp dev src/qq_music_api/server.py
```

## 作为 Python 库使用

```python
import asyncio
from qq_music_api import QQMusicClient

async def main():
    async with QQMusicClient() as client:
        # 搜索歌曲
        result = await client.search("周杰伦")
        print(result)

        # 获取歌词
        lyric = await client.get_lyric("000paPeF1SZp2I")
        print(lyric)

asyncio.run(main())
```

## 许可证

MIT