pyiqvia
is an async-focused Python3 library for allergen, asthma, and disease data from
the IQVIA™ family of websites (such as Pollen.com,
FluStar, and more).
pyiqvia
is currently supported on:
- Python 3.10
- Python 3.11
- Python 3.12
pip install pyiqvia
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, pyiqvia
will retry appropriate errors 4 times (with an exponentially
increasing delay in-between). This logic can be changed by passing a different value for
request_retries
to the Client
constructor:
import asyncio
from pyiqvia import Client
async def main():
client = Client("80012", request_retries=5)
# ...
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())
Thanks to all of our contributors so far!
- 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 on a new branch.
- Write tests that cover your new functionality.
- Run tests and ensure 100% code coverage:
poetry run pytest --cov pyiqvia tests
- Update
README.md
with any new documentation. - Submit a pull request!