pyopenuv 2.0.0

A simple Python API data from openuv.io

☀️ pyopenuv: A simple Python API for data from openuv.io

pyopenuv is a simple Python library for retrieving UV-related information from openuv.io.

• Installation
• Python Versions
• API Key
• Usage
• Contributing

Installation

pip install pyopenuv

Python Versions

pyopenuv is currently supported on:

• Python 3.6
• Python 3.7
• Python 3.8

API Key

You can get an API key from the OpenUV console.

Usage

import asyncio

from pyopenuv import Client
from pyopenuv.errors import OpenUvError


async def main():
    client = Client(
        "<OPENUV_API_KEY>", "<LATITUDE>", "<LONGITUDE>", altitude="<ALTITUDE>"
    )

    try:
        # Get current UV info:
        print(await client.uv_index())

        # Get forecasted UV info:
        print(await client.uv_forecast())

        # Get UV protection window:
        print(await client.uv_protection_window())
    except OpenUvError as err:
        print(f"There was an error: {err}")


asyncio.run(main())

By default, the library creates a new connection to OpenUV with each coroutine. If you are calling a large number of coroutines (or merely want to squeeze out every second of runtime savings possible), an aiohttp ClientSession can be used for connection pooling:

import asyncio

from aiohttp import ClientSession
from pyopenuv import Client
from pyopenuv.errors import OpenUvError


async def main():
    async with ClientSession() as session:
        client = Client(
            "<OPENUV_API_KEY>",
            "<LATITUDE>",
            "<LONGITUDE>",
            altitude="<ALTITUDE>",
            session=session,
        )

        try:
            # Get current UV info:
            print(await client.uv_index())

            # Get forecasted UV info:
            print(await client.uv_forecast())

            # Get UV protection window:
            print(await client.uv_protection_window())
        except OpenUvError as err:
            print(f"There was an error: {err}")


asyncio.run(main())

Check out the examples directory for more info.

Contributing

1. Check for open features/bugs or initiate a discussion on one.
2. Fork the repository.
3. (optional, but highly recommended) Create a virtual environment: python3 -m venv .venv
4. (optional, but highly recommended) Enter the virtual environment: source ./venv/bin/activate
5. Install the dev environment: script/setup
6. Code your new feature or bug fix.
7. Write tests that cover your new functionality.
8. Run tests and ensure 100% code coverage: script/test
9. Update README.md with any new documentation.
10. Add yourself to AUTHORS.md.
11. Submit a pull request!