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An async GeoJSON client library for GeoNet NZ Quakes feed.

Project description


Build Status codecov PyPi Version

This library provides convenient async access to the GeoNet NZ Quakes feed.


pip install aio-geojson-geonetnz-quakes


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


Parameter Description
home_coordinates Coordinates (tuple of latitude/longitude)
mmi Request quakes that may have caused shaking greater than or equal to the MMI value in the New Zealand region. Allowable values are -1..8 inclusive. Default: -1 is used for quakes that are too small to calculate a stable MMI value for.

Supported Filters

Filter Description
Radius filter_radius Radius in kilometers around the home coordinates in which events from feed are included.
Minimum Magnitude filter_minimum_magnitude Minimum magnitude as float value. Only events with a magnitude equal or above this value are included.
Time filter_time Time interval; only events with a reported origin time that falls within now and this past time interval are included.


import asyncio
from aiohttp import ClientSession
from aio_geojson_geonetnz_quakes import GeonetnzQuakesFeed
async def main() -> None:
    async with ClientSession() as websession:    
        # Home Coordinates: Latitude: -41.2, Longitude: 174.7
        # MMI: 2
        # Filter radius: 200 km
        # Filter minimum magnitude: 2.5
        feed = GeonetnzQuakesFeed(websession, (-41.2, 174.7), mmi=2,
        status, entries = await feed.update()

Feed entry properties

Each feed entry is populated with the following properties:

Name Description Feed attribute
geometry All geometry details of this entry. geometry
coordinates Best coordinates (latitude, longitude) of this entry. geometry
external_id The unique public identifier for this quake. publicID
title Title of this entry. locality
attribution Attribution of the feed. n/a
distance_to_home Distance in km of this entry to the home coordinates. n/a
time The origin time of the quake. time
depth The depth of the quake in km. depth
magnitude The summary magnitude for the quake. magnitude
locality Distance and direction to the nearest locality. locality
mmi The calculated MMI shaking at the closest locality in the New Zealand region. mmi
quality The quality of this information: best, good, caution, deleted. quality

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.

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