source-command-improve-parser

Lorcana card parsing fails on empty abilities when missing regex patterns cannot recognize specific card text. Discovering unimplemented cards, designing new regex patterns, and regenerating affected card files resolves these parse failures and manual override gaps.

Automating parser pattern additions requires a discovery-to-verification pipeline that scans for manual overrides and parse failures, designs regex patterns, updates tests, and regenerates card files with typecheck verification reporting PASS-or-issues outcomes.

Regex pattern analysis for unimplemented card data works by scanning card sets to identify empty abilities and parse failures, then categorizing which pattern types are absent to drive the implementation of new regex logic capturing missing card text.

Yes, you can run the parser improvement workflow for either a whole Lorcana set or a specific card identifier. This targets individual cards with manual override gaps or parse failures without regenerating the entire set.

Updating tests when adding regex patterns is required because the discovery-to-verification pipeline validates regenerated card files. Running typecheck and parser tests ensures new pattern logic correctly resolves empty abilities without introducing failures.

Using regex for Lorcana card parsing is limited by the need to manually design patterns for each new unimplemented card text variation. Unconventional ability syntax can cause pattern discovery to fail and require manual overrides.