pyden 1.0.3

A Python API for info from the City and County of Denver, CO

📡 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.

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

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!