pyiqvia 0.1.0

A clean, async-focused Python3 API for IQVIA data

🌻pypyiqvia: A clean, async-focused Python3 API for IQVIA data

pyiqvia is an async-focused Python3 library for allergen, asthma, and disease data from the IQVIA family of websites (such as https://pollen.com, https://flustar.com, and more).

Python Versions

pyiqvia is currently supported on:

• Python 3.5
• Python 3.6
• Python 3.7

However, running the test suite currently requires Python 3.6 or higher; tests run on Python 3.5 will fail.

Installation

pip install pyiqvia

Usage

pyiqvia starts within an aiohttp ClientSession:

import asyncio

from aiohttp import ClientSession

from pyiqvia 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 pyiqvia 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 current asthma information:
      await client.asthma.current()

      # 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

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!