No data source

[646e62]

• The formatter app requires data to function
• Find or compile a dataset for the following types of abbreviation data:
  • Jurisdictional
  • Court
  • Reporter
  • Neutral citations

[bbelderbos]

Great

[bbelderbos]

APIs are always best (standardlized data), but if we need to web scrape sure thing :)

[646e62]

CanLII is a large, professionally funded, and relatively open Canadian legal database. I use it almost exclusively for my own research professionally. They also provide an API that supplies much of what I'll need to generate citations (though not everything): https://github.com/canlii/API_documentation/blob/master/EN.md

[646e62]

Started to add the following as dictionary and numpy objects, each used to create citations for court cases:

• Neutral citation list
• Official reporters (CA)
• Preferred reporters
• All reporters

Official reporters in the US: https://libguides.niu.edu/c.php?g=425200&p=4976573

[646e62]

• Refactored some of my functions into a class object
• Worked on a way to get a list of parallel citations from user-copied text
• Hard-coded a list of different case law reporters that are preferred or authoritative
• Working on a way to generate reports classifying all user-supplied parallel citations as neutral, official, preferred, authoritative, unofficial, or unlisted