semvec/pypi-packages huggingface dataset:
routless 0.1.0
Abstraction layer for logical module loading. Obfuscates physical file paths.
Requires Python: >=3.8
Keywords: security, obfuscation, dynamic-load, infrastructure

# 🌑 routless: Logical Module Loading Abstraction

routless is an infrastructure library designed to solve the exposure of Python module file paths during runtime.

It allows developers to register functions or classes under a simple **logical key (a 'routless Key')**. Other modules can then retrieve these objects using only the key, **without ever knowing the physical file path** where the source code is located.

This feature is ideal for obfuscating project structure, protecting sensitive business logic paths, and improving modularity.

### 📦 Installation

```bash
pip install routless
lupyne 3.3.1
Pythonic search engine based on PyLucene.
Requires Python: >=3.10
Keywords: lucene, pylucene

[![image](https://img.shields.io/pypi/v/lupyne.svg)](https://pypi.org/project/lupyne/)
![image](https://img.shields.io/pypi/pyversions/lupyne.svg)
[![image](https://pepy.tech/badge/lupyne)](https://pepy.tech/project/lupyne)
![image](https://img.shields.io/pypi/status/lupyne.svg)
[![build](https://github.com/coady/lupyne/actions/workflows/build.yml/badge.svg)](https://github.com/coady/lupyne/actions/workflows/build.yml)
[![image](https://codecov.io/gh/coady/lupyne/branch/main/graph/badge.svg)](https://codecov.io/gh/coady/lupyne/)
[![CodeQL](https://github.com/coady/lupyne/actions/workflows/github-code-scanning/codeql/badge.svg)](https://github.com/coady/lupyne/actions/workflows/github-code-scanning/codeql)
[![image](https://img.shields.io/endpoint?url=https://raw.githubusercontent.com/astral-sh/ruff/main/assets/badge/v2.json)](https://github.com/astral-sh/ruff)
[![image](https://mypy-lang.org/static/mypy_badge.svg)](https://mypy-lang.org/)

Lupyne is a search engine based on [PyLucene](https://lucene.apache.org/pylucene/), the Python extension for accessing Java Lucene. Lucene is a relatively low-level toolkit, and PyLucene wraps it through automatic code generation. So although Java idioms are translated to Python idioms where possible, the resulting interface is far from Pythonic. See `./docs/examples.ipynb` for comparisons with the Lucene API.

Lupyne also provides GraphQL and RESTful search services, based on [Starlette](https://www.starlette.io). Note Solr and Elasticsearch are popular options for Lucene-based search, if no further (Python) customization is needed. So while the services are suitable for production usage, their primary motivation is to be an extensible example.

Not having to initially choose between an embedded library and a server not only provides greater flexibility, it can provide better performance, e.g., batch indexing offline and remote searching live. Additionally only lightweight wrappers with extended behavior are used wherever possible, so falling back to using PyLucene directly is always an option, but should never be necessary for performance.

## Usage
PyLucene requires initializing the VM.

```python
import lucene

lucene.initVM()
```

Indexes are accessed through an `IndexSearcher` (read-only), `IndexWriter`, or the combined `Indexer`.

```python
from lupyne import engine

searcher = engine.IndexSearcher('index/path')
hits = searcher.search('text:query')
```

See `./lupyne/services/README.md` for services usage.

## Installation
```console
pip install lupyne[graphql,rest]
```

PyLucene is not `pip` installable.
* [Install instructions](https://lucene.apache.org/pylucene/install.html)
* [Docker](https://hub.docker.com) image: `docker pull coady/pylucene`
* [Homebrew](https://brew.sh) formula: `brew install coady/tap/pylucene`

## Dependencies
* PyLucene >=10
* strawberry-graphql (if graphql option)
* fastapi (if rest option)

## Tests
100% branch coverage.

```console
pytest [--cov]
```