Skip to main content

Django app for working with XKCD geohashing data

Project description

# django-geohashing

A Django application for calculating geohashes and exposing them
via RESTful interface. Requires Django 1.8.x+ (takes advantage of
updated argument parsing for custom management commands, see:
[Django 1.8 Release Notes][1] for more information).

## Installation

Install with pip:

pip install django-geohashing

## Quick Start

1. Add "geohashing" and "rest_framework" to your INSTALLED_APPS:


2. Create the geohashing tables by resyncing your models:

python migrate

3. Populate the table using the `get_historical_djia` management command:

python get_historical_djia --start <date> --end <date>

The `get_historical_djia` command takes two optional parameters:
`--start` and `--end`. These parameters accept date strings of the format
`YYYY-MM-DD`. They may be used to limit the set of results from
which to database is populated (so for instance to only retrieve and process
only the 30 most recent DJIA openings instead of every opening since 1928).

The parameters are optional but their use is very much encouraged; otherwise
tens of thousands of records will be retrieved and imported individually.

4. To expose the geohashing offsets via REST API, include `geohashing.urls` in
your ``. Though not strictly required, as a best practice a namespace
for the urls should be provided:

from django.conf.urls import url

urlpatterns = [
url(r'^geohashing/', include('geohashing.urls', namespace='geohashing')),


This project is still in an extremely early alpha stage. Tasks that still need
to be tackled:

- Update the importer to:

- Handle the creation of new Day objects and the update of existing Day
objects seperately so that we can use `bulk_create` to improve
- Extrapolate data points beyond the maximum date when enough information
is available to do so.
- Add a `get_current_djia` management command to be used for retrieving
today's opening value. Occasionally the various sources for the opening
value are initially inconsistent with one another. The management command
should handle this gracefully by waiting for consensus.

- Add unit tests and docs
- Run Flake8 against the codebase and fix any glaring PEP-8 violations
- Set up Continuous Integration...integration


Project details

Download files

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

Filename, size & hash SHA256 hash help File type Python version Upload date
django_geohashing-0.2.1-py2.py3-none-any.whl (12.4 kB) Copy SHA256 hash SHA256 Wheel py2.py3
django-geohashing-0.2.1.tar.gz (8.7 kB) Copy SHA256 hash SHA256 Source None

Supported by

Elastic Elastic Search Pingdom Pingdom Monitoring Google Google BigQuery Sentry Sentry Error logging AWS AWS Cloud computing DataDog DataDog Monitoring Fastly Fastly CDN SignalFx SignalFx Supporter DigiCert DigiCert EV certificate StatusPage StatusPage Status page