Skip to main content

Python library for fetching the Lancaster County-Wide Communications live incident list.

Project description

python-lcwc

python-lcwc is a Python library for the LCWC incident feed.

The library features multiple clients for retrieving incidents: a web scraper, an RSS feed parser, and an ArcGIS REST client. See notes below for more information.

Installation

pip install lcwc

Example

import aiohttp
from lcwc.feed import Client

client = Client()

async with aiohttp.ClientSession() as session:
    incidents = await client.get_incidents(session)

    for incident in incidents:
        print(f'{incident.date} - {incident.description}')

Notes

Web Client

The web client uses web-scraping which can be a bit limited for identification purposes but is the most reliable. The web client is the recommended client for use unless you need more granular information such as static identifers.

Feed Client

The feed client uses the RSS feed and is similar to the web client except it overs an (admittedly arbitrary) GUID for each incident. Categorization can be a bit off since the feed doesn't supply that in formation so we have to attempt to extrapolate the category from the incident description/units assigned. Use the web client if you need more accurate categorization.

ArcGIS REST Client

The ArcGIS REST client uses the ArcGIS REST API to retrieve incidents. This is the most accurate client since it uses the same data source as the LCWC website. This is still a bit of a prototype and may be subject to change. The ArcGIS REST client is the recommended client if you need more granular information such as static identifiers and coordinates.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

lcwc-0.7.tar.gz (12.1 kB view hashes)

Uploaded Source

Built Distribution

lcwc-0.7-py3-none-any.whl (14.7 kB view hashes)

Uploaded Python 3

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page