A simple API for Pollen.com data
Project description
🌼 pypollencom: A Simple Python API for Pollen.com
pypollencom is a simple Python library for allergen, asthma, and disease data
from Pollen.com.
PLEASE READ: Version 2.0.0 and Beyond
Version 2.0.0 of pypollencom makes several breaking, but necessary changes:
- Moves the underlying library from Requests to aiohttp
- Changes the entire library to use
asyncio - Makes 3.6 the minimum version of Python required
If you wish to continue using the previous, synchronous version of
pypollencom, make sure to pin version 1.1.2.
Installation
pip install pypollencom
Usage
pypollencom starts within an
aiohttp ClientSession:
import asyncio
from aiohttp import ClientSession
from pypollencom 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 and get to it:
import asyncio
from aiohttp import ClientSession
from pypollencom import Client
async def main() -> None:
"""Create the aiohttp session and run the example."""
async with ClientSession() as websession:
client = Client(80012, websession)
# ZIP codes starting with 0 need to be provided as strings:
client = Client('00544', websession)
# Get current allergen information:
await client.allergens.current()
# Get more information on the current allergen outlook:
await client.allergens.outlook()
# Get extended forecast allergen information:
await client.allergens.extended()
# Get historic allergen information:
await client.allergens.historic()
# Get extended forecast asthma information:
await client.asthma.extended()
# Get historic asthma information:
await client.asthma.historic()
# Get extended forecast cold and flu information:
await client.disease.extended()
asyncio.get_event_loop().run_until_complete(main())
Contributing
- Check for open features/bugs or initiate a discussion on one.
- Fork the repository.
- Install the dev environment:
make init. - Enter the virtual environment:
pipenv shell - Code your new feature or bug fix.
- Write a test that covers your new functionality.
- Run tests and ensure 100% code coverage:
make coverage - Add yourself to
AUTHORS.md. - Submit a pull request!
Project details
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