semvec/pypi-packages huggingface dataset:
dbt-dbs 0.0.1
The set of adapter protocols and base functionality that supports integration with dbt-core
Requires Python: >=3.9.0
Keywords: adapter, adapters, database, dbt, dbt Cloud, dbt Core, dbt Labs, dbt-core, elt

<p align="center">
    <img
        src="https://raw.githubusercontent.com/dbt-labs/dbt/ec7dee39f793aa4f7dd3dae37282cc87664813e4/etc/dbt-logo-full.svg"
        alt="dbt logo"
        width="500"
    />
</p>

<p align="center">
    <a href="https://pypi.org/project/dbt-database/">
        <img src="https://badge.fury.io/py/dbt-database.svg" />
    </a>
    <a target="_blank" href="https://pypi.org/project/dbt-database/" style="background:none">
        <img src="https://img.shields.io/pypi/pyversions/dbt-database">
    </a>
    <a href="https://github.com/psf/black">
        <img src="https://img.shields.io/badge/code%20style-black-000000.svg" />
    </a>
    <a href="https://github.com/python/mypy">
        <img src="https://www.mypy-lang.org/static/mypy_badge.svg" />
    </a>
    <a href="https://pepy.tech/project/dbt-database">
        <img src="https://static.pepy.tech/badge/dbt-database/month" />
    </a>
</p>

# dbt

**[dbt](https://www.getdbt.com/)** enables data analysts and engineers to transform their data using the same practices that software engineers use to build applications.

dbt is the T in ELT. Organize, cleanse, denormalize, filter, rename, and pre-aggregate the raw data in your warehouse so that it's ready for analysis.

## dbt-database

`dbt-database` enables dbt to work with Postgres.
For more information on using dbt with Postgres, consult [the docs](https://docs.getdbt.com/docs/profile-database).

# Getting started

Review the repository [README.md](../README.md) as most of that information pertains to `dbt-database`.

## Contribute

- Want to help us build `dbt-database`? Check out the [Contributing Guide](CONTRIBUTING.md).
patentfield-client 0.1.0
Add your description here
Requires Python: >=3.13

# patentfield-client

Unofficial Python Client for Patentfield API.

## Usage

```bash
pip install patentfield-client
touch .env
# edit .env
# PATENTFIELD_API_KEY=<your_api_key>
```


```python
from dotenv import load_dotenv

from patentfield_client import PatentfieldClient

load_dotenv()


def main():
    import json
    with PatentfieldClient() as client:
        # 1) Fulltext search (return score and app_id)
        res = client.search_fulltext("ソーラーパネル", columns=["_score", "app_id"], limit=2)
        print(json.dumps(res, ensure_ascii=False, indent=2))

        # 2) Get document (return app_doc_id / title / grant_or_app_claims)
        doc = client.get_document("JP20160057449", columns=["app_doc_id", "title", "grant_or_app_claims"])
        print(json.dumps(doc, ensure_ascii=False, indent=2))

        # 3) Get drawings URLs
        drawings = client.get_drawings("JP20160057449")
        print(drawings)


if __name__ == "__main__":
    main()

```
pip-system-certs 5.3
Automatically configures Python to use system certificates via truststore
Requires Python: >=3.10

================
pip-system-certs
================

This package automatically configures Python to use system certificates from the OS certificate store instead of the bundled certificates via the ``truststore`` library.

This allows pip and Python applications to verify TLS/SSL connections to servers whose certificates are trusted by your system.

Simply install with::

  pip install pip_system_certs

and Python will automatically use your system's certificate store for all SSL verification.

This works for pip, requests, urllib3, and any other Python library that uses the standard SSL context.

Requirements
------------
* Python 3.10 or higher
* pip 24.2 or higher (upgraded automatically if needed)

Compatibility
-------------
``pip-system-certs`` uses pip's built-in ``truststore`` library to inject system certificate 
verification into Python's SSL context. This provides native OS integration using:

* **macOS**: Security framework
* **Windows**: CryptoAPI  
* **Linux**: OpenSSL with system certificate stores

This approach leverages the same truststore technology that pip uses internally, ensuring 
compatibility and reliability. It automatically works with any Python library that uses SSL 
(requests, urllib3, httpx, etc.).

If you encounter issues, please report them at https://gitlab.com/alelec/pip-system-certs/-/issues

Known Issues
------------
* ``conda`` virtual environments on Linux may install a separate SSL certificate store which 
  takes precedence over the system store, potentially preventing this package from accessing 
  system-installed certificates.

PyInstaller
-----------
The automatic certificate configuration relies on a ``.pth`` file that Python loads at startup. 
This method does not work when bundling applications with PyInstaller or similar tools.

For PyInstaller applications, manually enable system certificates by adding this line early 
in your main script::

    import pip_system_certs.wrapt_requests; pip_system_certs.wrapt_requests.inject_truststore()

This must be called before any SSL connections are made.

Architecture
------------
This package uses a bootstrap system to automatically inject system certificate support:

1. A ``.pth`` file triggers the bootstrap when Python starts
2. Uses pip's vendored ``truststore`` library (pip 24.2+) for compatibility
3. Calls ``truststore.inject_into_ssl()`` to globally configure system certificates
4. All subsequent SSL connections (pip, requests, etc.) use the system certificate store

Acknowledgements
----------------
This package leverages pip's vendored ``truststore`` library by Seth Michael Larson for system 
certificate integration. This ensures compatibility with modern pip versions while avoiding 
dependency conflicts.

The bootstrap system was originally inspired by the autowrapt module.
qinglong-openapi 0.0.1
青龙面板api SDK (修复port参数bug)
Requires Python: >=3.6

# qinglong-openapi

青龙api的python SDK (修复版本)

这是 [qinglongapi](https://github.com/yuxian158/qinglong-api) 的修复版本，主要修复了port参数被错误写成post的bug。

## 修复内容

- ✅ 修复了所有模块中port参数被错误写成post的问题
- ✅ 版本：0.0.1
- ✅ 保持与原项目完全兼容

## 安装

```bash
pip install qinglong-openapi
```

## 原始项目

原始项目地址：https://github.com/yuxian158/qinglong-api

## 文档

具体文档

https://yuxian158.github.io/qinglong-api/

所有模块使用方法大同小异，以环境变量模块为例:

```
from qlapi import qlenv

ql_env = qlenv(
    url="12.22.43.23",   #青龙面板IP地址(不包含http://)
    port=5700,			#青龙面板端口
    client_id="admin",  # 青龙面板openapi登录用户名
    client_secret="abcdefg_", # 青龙面板openapi登录密码
)
ql_env.list()
```

青龙api文档

https://qinglong.ukenn.top/#/

很多还没有完善，欢迎pr