pyiqvia 1.0.0

A clean, async-focused Python3 API for IQVIA data

🌻 pyiqvia: A clean, async-focused Python3 API for IQVIA™

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
• Installation
• Usage
• Contributing

Python Versions

pyiqvia is currently supported on:

• Python 3.8
• Python 3.9

Installation

pip install pyiqvia

Usage

import asyncio

from aiohttp import ClientSession

from pyiqvia import Client


async def main() -> None:
    """Run!"""
    # Note that ZIP codes must be provided as strings:
    client = Client("80012")

    # 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 current cold and flu information:
    await client.disease.current()

    # Get extended forecast cold and flu information:
    await client.disease.extended()

    # Get historic cold and flu information:
    await client.disease.historic()


asyncio.run(main())

By default, the library creates a new connection to IQVIA 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 pyiqvia import Client


async def main() -> None:
    """Run!"""
    async with ClientSession() as session:
        client = Client("80012", session=session)

        # ...


asyncio.run(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!