Tasks

1. DB
   1. [✓] All documents need to be stored with their checksum and path.
      • This is so that a file can be associated with a document ID in the DB.
      • Use Digest::MD5.
2. Automatic phrase extraction
   1. [✓] Process the text of a PDF file with PyTextRank.
   2. [✓] Find the text of phrases inside that PDF file.
      • Use Regexp::Assemble.
   3. [_] Toggle option to highlight all the phrases found on the page.
3. Card
   1. Contents
      • Front: the question / hint : always shown
      • Back: the answer : shown when card state is flipped
      • Explanation: why? : shown when card state is flipped
      • Priority
      • Tags
      • Document
      • Page
      • Cloze
        1. Cloze regex
           • Need to be able to cover a set of given text offsets.
        2. Overlap types
           • nonoverlapping: Hide all, reveal one
           • overlapping: Hide one, reveal all
           • Hide all, reveal all
4. Review
   • Sequential
     • Sort by path -> page -> offset
   • Random
     • Random
   • SRS
     • See description of algorithm.

SRS algorithm

GUI

Show / edit card

Review table

Two kinds of review tables:

• All cards from current document set.
• All cards in the current review.

Review control

Generate deck: insert cards into the current review.

Current schema

New schema