aiowwlln 2.0.5

A simple Python API for the WWLLN

⚡️ aiowwlln: A simple Python3 wrapper for WWLLN

aiowwlln is a simple, asyncio-driven Python library for retrieving information on lightning strikes from the World Wide Lightning Location Network (WWLLNN).

NOTE: This library is built on an unofficial API; therefore, it may stop working at any time.

Installation

pip install aiowwlln

Python Versions

aiowwlln is currently supported on:

• Python 3.6
• Python 3.7
• Python 3.8

Usage

aiowwlln starts within an aiohttp ClientSession:

import asyncio

from aiohttp import ClientSession

from aiowwlln import Client


async def main() -> None:
    """Create the aiohttp session and run the example."""
    async with ClientSession() as websession:
        # YOUR CODE HERE


asyncio.get_event_loop().run_until_complete(main())

Create a client, initialize it, then get to it:

import asyncio
from datetime import datetime

from aiohttp import ClientSession

from aiowwlln import Client


async def main() -> None:
    """Create the aiohttp session and run the example."""
    async with ClientSession() as websession:
        client = aiowwlln.Client(websession)

        # Create a client and get all strike data – by default, data is cached for
        # 60 seconds (be a responsible data citizen!):
        client = Client(websession)
        await client.dump()

        # If you want to increase the cache to 24 hours, go for it:
        client = Client(websession, cache_seconds=60*60*24)
        await client.dump()

        # Get strike data within a 50 km radius around a set of coordinates (note that
        # the cache still applies):
        await client.within_radius(
            56.1621538, 92.2333561, 50, unit="metric"
        )

        # Get strike data within a 10 mile radius around a set of coordinates (note that
        # the cache still applies):
        await client.within_radius(
            56.1621538, 92.2333561, 10, unit="imperial"
        )

        # Get strike data within a 50 km radius around a set of coordinates _and_
        # within the last 10 minutes:
        await client.within_radius(
            56.1621538, 92.2333561, 50, unit="metric", window=timedelta(minutes=10)
        )


asyncio.get_event_loop().run_until_complete(main())

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!