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Crabigator

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A very thin Python wrapper over the WaniKani API (WaniKani is a tool for leaning Japanese vocabulary). The aim is to model the API as closely as possible while ensuring the correct Python type is used for each field in the API. The syntax for using the library has been made as simple as possible.

Installation

Stable Versions

To install for all users sudo pip install crabigator

To install for a single user pip install --user crabigator

Development Versions

First clone this repository and cd to it.

To install for all users sudo python setup.py install

To install for a single user python setup.py --user install

Usage

  1. Import the WaniKani class. from crabigator.wanikani import WaniKani
  2. Instantiate a WaniKani instance with your API key. wanikani = WaniKani('my_api_key')
  3. Get any endpoint specified by the API docs (dashes replaced with underscores).
  • wanikani.user_information
  • wanikani.study_queue
  • wanikani.level_progression
  • wanikani.srs_distribution
  • wanikani.recent_unlocks
  • wanikani.critical_items
  • wanikani.radicals
  • wanikani.kanji
  • wanikani.vocabulary
  1. From any of the above endpoints in #3 the output fields in the required-information key can be retrieved. For example:
  • print(wanikani.user_information.username)
  • print(wanikani.study_queue.next_review_date)
  • print(wanikani.level_progression.kanji_total)
  • print(wanikani.srs_distribution.master.total)
  • print(wanikani.recent_unlocks[0])
  • print(wanikani.critical_items[0])
  • print(wanikani.radicals[0])
  • print(wanikani.kanji[0])
  • print(wanikani.vocabulary[0])
  1. If you need to pass arguments to the API then the following functions will do that.
  • wanikani.get_recent_unlocks(limit=10)
  • wanikani.get_critical_items(percent=75)
  • wanikani.get_radicals(levels=[2,3,4])
  • wanikani.get_kanji(levels=[5,6,7])
  • wanikani.get_vocabulary(levels=[8,9,10])

Notes

  • Everything is a property of a Python object.
  • All API responses can be easily printed for debugging.
  • All dates in API responses are converted to datetime objects.
  • All comma-separated lists in API responses are converted to arrays of strings for easier iteration over multiple readings and meanings.

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WaniKani API Wrapper in Python

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