This library has been replaced by pyoutbreaksnearme
.
pyflunearyou
is a simple Python library for retrieving UV-related information
from Flu Near You.
pip install pyflunearyou
pyflunearyou
is currently supported on:
- Python 3.7
- Python 3.8
- Python 3.9
- Python 3.10
import asyncio
from aiohttp import ClientSession
from pyflunearyou import Client
async def main() -> None:
"""Run!"""
client = Client()
# Get user data for a specific latitude/longitude:
await client.user_reports.status_by_coordinates(<LATITUDE>, <LONGITUDE>)
# Get user data for a specific ZIP code:
await client.user_reports.status_by_zip("<ZIP_CODE>")
# Get CDC data for a specific latitude/longitude:
await client.cdc_reports.status_by_coordinates(<LATITUDE>, <LONGITUDE>)
# Get CDC data for a specific state:
await client.cdc_reports.status_by_state('<USA_CANADA_STATE_NAME>')
asyncio.run(main())
By default, the library creates a new connection to Flu Near You 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 pyflunearyou import Client
async def main() -> None:
"""Run!"""
async with ClientSession() as session:
client = Client(session=session)
# ...
asyncio.run(main())
- Check for open features/bugs or initiate a discussion on one.
- Fork the repository.
- (optional, but highly recommended) Create a virtual environment:
python3 -m venv .venv
- (optional, but highly recommended) Enter the virtual environment:
source ./.venv/bin/activate
- Install the dev environment:
script/setup
- Code your new feature or bug fix.
- Write tests that cover your new functionality.
- Run tests and ensure 100% code coverage:
script/test
- Update
README.md
with any new documentation. - Add yourself to
AUTHORS.md
. - Submit a pull request!