pypollencom 2.1.1

A simple API for Pollen.com data

🌼 pypollencom: A Simple Python API for Pollen.com

pypollencom is a simple Python library for allergen 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 cold and flu information:
      await client.disease.extended()


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. Install the dev environment: make init.
4. Enter the virtual environment: pipenv shell
5. Code your new feature or bug fix.
6. Write a test that covers your new functionality.
7. Run tests and ensure 100% code coverage: make coverage
8. Add yourself to AUTHORS.md.
9. Submit a pull request!