semvec/pypi-packages huggingface dataset:
wpinfo 0.1.0
WordPress information enumeration and scraping tool
Requires Python: >=3.7
Keywords: wordpress info enumeration scraping web, scraping, wordpress, web scraping, wordpress info enumeration, wordpress scraping, wordpress info, wordpress enumeration, wordpress web scraping, wordpress web info, wordpress web enumeration, wordpress web info enumeration, wordpress web scraping info, wordpress web scraping enumeration, wordpress web scraping info enumeration

# 📰 WPInfo

**WPInfo** is a lightweight Python library that extracts publicly available information from any WordPress website.

It fetches metadata such as site title, theme name, plugin hints, RSS feed, sitemap, WordPress version (if visible), and more — all using clean and simple Python code.

---

## 🚀 Features

- Get site title and meta description
- Detect WordPress version (if disclosed)
- Extract active theme name
- Detect plugin paths
- Find RSS feed, sitemap, and robots.txt URLs
- Clean, simple interface with no dependencies other than `requests` and `beautifulsoup4`

---

## 📦 Installation

You can install from PyPI:

```bash
pip install wpinfo
```

---

## 🧪 Example Usage

```python
from wpinfo import WPInfo

site = WPInfo("https://example.wordpress.com")
info = site.get_info()

for key, value in info.items():
    print(f"{key.capitalize()}: {value}")
```

---

## 🧠 Output Example

```text
Title: Example WordPress Site
Meta_description: This is an example WordPress website.
Wordpress_version: WordPress 6.3.1
Theme: twentytwentythree
Plugins: contact-form-7, jetpack
Rss_feed: https://example.com/feed/
Sitemap: https://example.com/sitemap.xml
Robots_txt: https://example.com/robots.txt
```

---

## 🛠 Requirements

- Python 3.7+
- `requests`
- `beautifulsoup4`

Install dependencies:

```bash
pip install -r requirements.txt
```

---

## 📃 License

This project is licensed under the [MIT License](LICENSE).

---

## ✨ Author

Made with ❤️ by **Deadpool2k**  
GitHub: [@Deadpool2000](https://github.com/Deadpool2000)

---

## 📬 Contributions & Feedback

Pull requests, feature ideas, and bug reports are welcome.  
Feel free to open an [issue](https://github.com/Deadpool2000/wpinfo/issues) or submit a PR.
rubric-agent 0.0.7
학생 과제 루브릭 생성 및 피드백을 제공하는 MCP 서버
Requires Python: >=3.11

# 📘 Rubric MCP Server

학생 과제 루브릭을 자동 생성하고 피드백을 제공하는 **Model Context Protocol (MCP) 서버**입니다. FastAPI와 FastMCP 기반으로 구축되어 있으며, PyPI를 통해 설치하거나 `uvx` 명령어로 바로 실행할 수 있습니다.

---

## ✨ 주요 기능

- ✅ 학습 주제/목표/학년에 따라 루브릭 자동 생성
- ✅ 제출된 과제가 있으면 AI 기반 피드백도 자동 제공
- 📚 학생의 학습 목표와 수준을 고려한 **도서 추천 기능** 포함
- ⚡ FastMCP 프로토콜 기반으로 Claude/ChatGPT/Gemini 등과 연동 가능
- 🧩 MCP Tool로 통합되어 AI 워크플로우에 쉽게 삽입 가능

---

## 🧰 MCP 명령어 (`tool`)

### `generate_rubric_feedback`

| 입력 파라미터              | 타입       | 필수 여부 | 설명     |
| -------------------- | -------- | ----- | ------ |
| `topic`              | `string` | ✅     | 과제 주제  |
| `objective`          | `string` | ✅     | 학습 목표  |
| `grade_level`        | `string` | ✅     | 학년 정보  |
| `name`               | `string` | ❌     | 학생 이름  |
| `student_submission` | `string` | ❌     | 과제 제출물 |

---

## 출력:

```json
{
  "rubric_standards": "과제 평가 기준",
  "grading_feedback": "학생 피드백 (선택적)"
}
```
---
## 📦 설치 방법

### ⚙️ `MCP 플랫폼에서 사용 (uvx 권장)`
```json
MCP 설정 파일 (claude_desktop_config.json 등)에 아래 내용을 추가하세요:

{
  "mcpServers": {
    "rubric": {
      "command": "uvx",
      "args": ["rubric-agent"],
      "env": {
        "OPENAI_API_KEY": "your-openai-key",
        "GOOGLE_API_KEY": "your-google-key",
        "MODEL_TYPE": "openai",              // 또는 gemini
        "MODEL_NAME": "gpt-4o-mini"          // 또는 gemini-2.0-flash 등
      }
    }
  }
}
```
### ⚙️`Python에서 직접 사용`

##### rubricgenerator_mcp_server 패키지는 MCP 서버로 실행하지 않고도 직접 호출하여 사용할 수 있습니다.
##### ✅ name과 student_submission을 모두 입력하면, AI가 학생 맞춤형 피드백과 학생 수준에 맞는 추천 도서도 함께 제공합니다.
```python
from rubricagent import generate_rubric_feedback
```
#### 입력값 설정
```python
inputs = {
    "topic": "지구 문제에 우리는 어떻게 대처하는가? (환경문제)",
    "objective": "환경 논제 글쓰기",
    "grade_level": "초등학교 6학년",
    "name": None,  # 학생 이름이 없으면 피드백 없이 루브릭만 생성
    "student_submission": None  # 제출물이 없으면 피드백 없이 루브릭만 생성
}

# 루브릭 생성 함수 호출
response = generate_rubric_feedback(**inputs)

# 결과 출력
print(response["rubric_standards"])  # 평가 루브릭 출력

print(response["grading_feedback"])  # 학생 정보를 입력한 경우 피드백 및 추천 도서가 포함됨
```
---
##### 📄 License
##### MIT License © 2025 [See the LICENSE for details](./LICENSE.txt)
amcrest_api 0.1.1
Python Wrapper for Amcrest API v3.26 or greater.
Requires Python: >=3.9

# Amcrest API

Python wrapper for [Amcrest API version 3.26](https://support.amcrest.com/hc/en-us/articles/17903073032973-Amcrest-HTTP-API-SDK).

![test coverage](./coverage.svg)'

Implements asynchronous operations for Amcrest cameras for use with [HomeAssistant Amcrest Custom](https://github.com/bcpearce/homeassistant-amcrest-custom)
pyright-cov 0.2.2
Run Pyright and enforce minimum type coverage
Requires Python: >=3.9

# Pyright-cov

## Enforce minimum type coverage!

`pyright-cov` is a tool which you can use to enforce minimum type coverage in your projects.

![image](https://github.com/user-attachments/assets/03977f7d-ee29-45f1-b8a9-306ec539f8cf)

## Installation

```console
pip install pyright-cov
```

## Usage

In a virtual environment in which you have a local install of a library `foo`, you can
ensure that `foo` is type-complete with:

```
pyright-cov --verifytypes foo --ignoreexternal
```

This will fail (i.e. exit `1`) if your type coverage is less than 100%. To set a lower
threshold, such as 60%:

```
pyright-cov --verifytypes foo --ignoreexternal --fail-under 60
```

To exclude symbols whose names match a given (glob) pattern, use `--exclude-like`, for example:

```
pyright-cov --verifytypes foo --ignoreexternal --exclude-like "*.tests.*"
```

Additional command-line flags are passed to [Pyright](https://github.com/microsoft/pyright).

## Used by

- [Narwhals](https://github.com/narwhals-dev/narwhals)

## Testing

Make sure you have `uv` and `pytest` installed. Then, run:

```
pytest tests
```