pyden 1.0.4

Description:

pyden 1.0.4

📡 pyden: A simple Python API for Denver, CO Data







pyden is a simple library to get data from the city and county of Denver, CO.
PLEASE READ: Version 1.0.0 and Beyond
Version 1.0.0 of pyden 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
pyden, make sure to pin version 0.4.1.
Python Versions
pyden 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 pyden

Usage
pyden starts within an
aiohttp ClientSession:
import asyncio

from aiohttp import ClientSession

from pyden 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())

To create a client, simply:
import asyncio

from aiohttp import ClientSession

from pyden import Client


async def main() -> None:
"""Create the aiohttp session and run the example."""
async with ClientSession() as websession:
client = Client(websession)


asyncio.get_event_loop().run_until_complete(main())

Trash Schedule
import asyncio

from aiohttp import ClientSession

from pyden import Client


async def main() -> None:
"""Create the aiohttp session and run the example."""
async with ClientSession() as websession:
client = Client(websession)

# Initialize the trash module:
await client.trash.init_from_coords(<LAT>, <LON>, "<GOOGLE_API_KEY>")

# Get the full schedule:
await client.trash.schedule()

# ...or get the date of next pickup:
await client.trash.next_pickup(client.trash.PickupTypes.recycling)


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!