aio-geojson-tas-tfs-incidents

An async GeoJSON client library for TAS Fire Service Incidents.


License
Apache-2.0
Install
pip install aio-geojson-tas-tfs-incidents==0.7.1

Documentation

python-aio-geojson-tas-tfs-incidents

Build Status PyPi Version

This library is a fork of python-aio-geojson-nsw-rfs-incidents for convenient async access to the Tas Alert Feed.

Installation

pip install aio-geojson-tas-tfs-incidents

Usage

See below for examples of how this library can be used. After instantiating a particular class - feed or feed manager - and supply the required parameters, you can call update to retrieve the feed data. The return value will be a tuple of a status code and the actual data in the form of a list of feed entries specific to the selected feed.

Status Codes

  • OK: Update went fine and data was retrieved. The library may still return empty data, for example because no entries fulfilled the filter criteria.
  • OK_NO_DATA: Update went fine but no data was retrieved, for example because the server indicated that there was not update since the last request.
  • ERROR: Something went wrong during the update

Parameters

Parameter Description
home_coordinates Coordinates (tuple of latitude/longitude)

Supported Filters

Filter Description
Radius filter_radius Radius in kilometers around the home coordinates in which events from feed are included.
Categories filter_categories Array of category names. Only events with a category matching any of these is included.

Example

import asyncio
from aiohttp import ClientSession
from aio_geojson_tas_tfs_incidents import TasFireServiceIncidentsFeed
async def main() -> None:
    async with ClientSession() as websession:    
        # Home Coordinates: Latitude: -42.0, Longitude: 147.0
        # Filter radius: 50 km
        # Filter categories: 'Advice'
        feed = TasFireServiceIncidentsFeed(websession, 
                                                (-42, 147.0), 
                                                filter_radius=50, 
                                                filter_feedtypes=['warning'],
                                                filter_alertlevels=['watch_and_act', 'advice'])
        status, entries = await feed.update()
        print(status)
        print(entries)
asyncio.get_event_loop().run_until_complete(main())

Feed entry properties

Each feed entry is populated with the following properties:

Name Description Feed attribute
geometries All geometry details of this entry. geometries
coordinates Best coordinates (latitude, longitude) of this entry. geometries
external_id The unique public identifier for this incident. id
title Title of this entry. title
attribution Attribution of the feed. n/a
distance_to_home Distance in km of this entry to the home coordinates. n/a
feedType The type of messages ('incident', 'warning'). feedType
alertLevel The alert level of the incident ("emergency_warning", "watch_and_act", "advice", "not_applicable"). Only available for feedType 'warning'. category
created The creation date of the incident. created
changed The last changed date of the incident. changed
bodyHtml The description of the incident including HTML tags. bodyHtml
description The description of the incident without HTML tags. n/a
location Location description of the incident. location
status Status of the incident. status
type Type of the incident (e.g. Bush Fire, Grass Fire, Hazard Reduction). type['name']
burntArea Burnt area in ha. burntArea

Feed Manager

The Feed Manager helps managing feed updates over time, by notifying the consumer of the feed about new feed entries, updates and removed entries compared to the last feed update.

  • If the current feed update is the first one, then all feed entries will be reported as new. The feed manager will keep track of all feed entries' external IDs that it has successfully processed.
  • If the current feed update is not the first one, then the feed manager will produce three sets:
    • Feed entries that were not in the previous feed update but are in the current feed update will be reported as new.
    • Feed entries that were in the previous feed update and are still in the current feed update will be reported as to be updated.
    • Feed entries that were in the previous feed update but are not in the current feed update will be reported to be removed.
  • If the current update fails, then all feed entries processed in the previous feed update will be reported to be removed.

After a successful update from the feed, the feed manager provides two different dates:

  • last_update will be the timestamp of the last update from the feed irrespective of whether it was successful or not.
  • last_update_successful will be the timestamp of the last successful update from the feed. This date may be useful if the consumer of this library wants to treat intermittent errors from feed updates differently.
  • last_timestamp (optional, depends on the feed data) will be the latest timestamp extracted from the feed data. This requires that the underlying feed data actually contains a suitable date. This date may be useful if the consumer of this library wants to process feed entries differently if they haven't actually been updated.