semvec/pypi-packages huggingface dataset:
vellox 0.1.3
GCP Cloud Functions support for ASGI applications
License: MIT
Requires Python: >=3.8

# Vellox

<a href="https://pypi.org/project/vellox">
    <img src="https://badge.fury.io/py/vellox.svg" alt="Package version">
</a>
<img alt="PyPI - Python Version" src="https://img.shields.io/pypi/pyversions/vellox.svg?style=flat-square">

Vellox is an adapter for running [ASGI](https://asgi.readthedocs.io/en/latest) applications in GCP Cloud Functions.

## Requirements

Python 3.8+

## Installation

```bash
pip install vellox
```

## Example

```python
from vellox import Vellox

async def app(scope, receive, send):
    await send(
        {
            "type": "http.response.start",
            "status": 200,
            "headers": [[b"content-type", b"text/plain; charset=utf-8"]],
        }
    )
    await send({"type": "http.response.body", "body": b"Hello, world!"})


vellox = Vellox(app=app, lifespan="off")

def handler(request):
    return vellox(request)
```

Or using a framework:

```python
from fastapi import FastAPI
from vellox import Vellox

app = FastAPI()


@app.get("/")
def read_root():
    return {"Hello": "World"}


@app.get("/items/{item_id}")
def read_item(item_id: int, q: str = None):
    return {"item_id": item_id, "q": q}

vellox = Vellox(app=app, lifespan="off")

def handler(request):
    return vellox(request)
```