lol-id-tools 1.0.0b0

An id tool for League of Legends with fuzzy string matching, nicknames, multiple locales, automatic updates, and translation.

lol_id_tools

An id tool for League of Legends with fuzzy string matching, nicknames, multiple locales, automatic updates, and translation.

The package relies on rapidfuzz for string matching.

This documentation pertains to v1.0.0a, the current alpha release. All future releases will follow its syntax and not the one from v0.x releases.

Installation

Get lit with pip install lol-id-tools

Demo

Usage

Import

import lol_id_tools as lit

Get id from name

When the name is typed properly, matching takes about 0.4ms.

lit.get_id('Miss Fortune')
> 21

Fuzzy string and nicknames matching takes about 9ms.

lit.get_id('MF')
> 21

If the source locale for the name is not loaded, you can force load it with

lit.get_id('미스 포츈', locale='ko_KR')
> 21

The minimum_score parameter can be used to alter behaviour.

lit.get_id('misfo')
lit.NoMatchingNameFound: No object name close enough to the input string found.

lit.get_id('misfo', minimum_score = 50)
> 21

All types of object can be matched by default.

lit.get_id('Maw of Malmortius')
> 3156

Get name from ID

On patch 10.10 no champion, item, or rune shares an ID. If they do in the future, the package will need to be updated accordingly.

lit.get_name(11)
> 'Master Yi'

If a locale needed for output is not loaded, it will automatically add it to the package.

lit.get_name(11, 'fr_FR')
> 'Maître Yi'

Get translation

Default output is 'en_US'

lit.get_translation('미스 포츈')
> 'Miss Fortune'

If you haven’t loaded the input locale yet, you can supply it as a parameter

lit.get_translation('ミス・フォーチュン', 'zh_CN', input_locale='ja_JP')
> '赏金猎人'

If get_translation() is called on an existing locale, it returns the "clean" object name

lit.get_translation('Misfo', minimum_score = 50)
> 'Miss Fortune'

Tests

You can take a look at the tests suit for more code examples.

Notes

Data is saved in ~/.config/lol_id_tools for offline usage and faster startup after first use. It uses sqlite3 and sqlalchemy to query the data.