Skip to main content

A library for retrieving data from The London Unified Prayer Timetable.

Project description

London Unified Prayer Times

image

image

Documentation Status

A library for retrieving data from The London Unified Prayer Timetable.

Features

The library can:

  • Retrieve and manage a local copy of the London Unified Prayer Timetable
  • Query the local copy of the timetable

Once initialised, the cli can:

  • Show the times for a day
  • Show the times for a month in calendar format
  • Show the current and next prayer time in relative formats

What is this?

Mainly a Python library to retrieve, store and update a local prayer timetable for the London region using a format that happens to feed https://www.eastlondonmosque.org.uk.

Also provided is a command line utility to manage and query the timetable.

FAQ

This doesn't work! Why's it asking for a URL?

This library is designed to download timetable data held in JSON format and accessible via a URL. It's up to the user of the library to provide that URL. There is at least one such URL in the public domain, but that address isn't provided here.

And yes, this technically means that anyone can craft an online dataset of custom times and have it accessible with this library. If you do, I'd love to hear about it.

How do you use the CLI tool?

The tool uses the click library, so passing --help everywhere should give some guidance on usage. Hint: you have to init first.

Honestly, I don't expect many to use this and so documentation is a little... lacking. As with all great programmers, I believe the tool to make sense out of the box. You can drop me a line if you get stuck - eventually that will form the documentation.

Why not just use on of the many Prayer Time libraries available on Pypi?

In short, because they won't output London Unified Prayer Times.

Most prayer time libraries (Python or otherwise), either directly use the amazing work of Hamid Zarrabi-Zadeh presented at http://praytimes.org/calculation or indirectly by wrapping https://aladhan.com/. On the other hand, ELM produces a curated timetable for the whole of the London region, that, unfortunately, can not be calculated (for more info, see: https://www.eastlondonmosque.org.uk/prayer-times-and-calendar-explained).

While arguably more correct (since they use your precise location as an input), the libraries relying on calculation will not match up with the ELM dataset. The ELM timetable is shared by The London Central Mosque, and so has the mindshare of many mosques across London. So if you want your application to likely match the timetable of your local London mosque, this this library may be for you.

Most of the existing Pypi libraries also choose to wrap https://aladhan.com/, which means they require an online connection to operate (which although convenient seems a bit convoluted for a calculation that could easily be performed locally). The aim of this library is to be able to operate offline as much as possible, by maintaining a local store of prayer times.

Why not just use https://www.londonprayertimes.com?

There are a few reasons:

  1. The LUPT website is not the gold source for this data. It is run by awesome volunteers who appear to manually upload transformed data from elsewhere (probably ELM's website). As this library is intentionally designed to make a locally available copy, it's probably a better idea for it to go directly to a source of that data.
  2. The primary role of the LUPT website appears to be to make time strings available to mosque UI apps. Something like Home Assistant requires data a little more "machine-friendly", like times in UTC or epoch time. And again, if we're to transform the LUPT website data anyway then it makes more sense to go to a source.

Why is this written in Python?

Although not my first choice of language, this library has primarily been written for use with Home Assistant, which itself is written in Python. Since this library doesn't actually do that much, it made sense to keep it as native as possible.

Please excuse the anti-Python patterns - PRs are welcome. Although please, no comments on the lack of classes, that bit's deliberate.

Will you pray for me?

Of course! But please be aware that I will not be responsible for you missing Fajr.

Credits

This package was created with Cookiecutter and the audreyr/cookiecutter-pypackage project template.

History

1.0.0 (2021-02-15)

  • First release on PyPI.

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

london_unified_prayer_times-1.0.0.tar.gz (24.9 kB view details)

Uploaded Source

Built Distribution

london_unified_prayer_times-1.0.0-py2.py3-none-any.whl (15.8 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file london_unified_prayer_times-1.0.0.tar.gz.

File metadata

  • Download URL: london_unified_prayer_times-1.0.0.tar.gz
  • Upload date:
  • Size: 24.9 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for london_unified_prayer_times-1.0.0.tar.gz
Algorithm Hash digest
SHA256 957fd946286f0ed88201576d3e304fd3dc5b90ae797c356dbe49fbdc37e3d72b
MD5 56b154bec8e78e32473b2a58d07a3d47
BLAKE2b-256 f0ed2cafd8fd8a7a4b0b134fb1d57b8ff2a6f8531c888018223ac55975b5bdda

See more details on using hashes here.

File details

Details for the file london_unified_prayer_times-1.0.0-py2.py3-none-any.whl.

File metadata

  • Download URL: london_unified_prayer_times-1.0.0-py2.py3-none-any.whl
  • Upload date:
  • Size: 15.8 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.3.0 pkginfo/1.7.0 requests/2.25.1 setuptools/53.0.0 requests-toolbelt/0.9.1 tqdm/4.56.2 CPython/3.9.1

File hashes

Hashes for london_unified_prayer_times-1.0.0-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 d43b26501ec319084b010f455afd9afacbadc7ef11f63479a47c7b02286d3c9c
MD5 f0e05b802e6f7109524d8a39968cde51
BLAKE2b-256 1a3c9e5cf9d68a1d4ddfa215a0fa5e3aabb751bd7d9998faf50a86a40e4f44c9

See more details on using hashes here.

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