Nothing showed whether a rule was still earning its place. The new screen, on
5, lists every rule in file order with the number of transactions it claims,
marking those that claim none.
The count comes from Engine.Usage, which counts by first match, so a rule
shadowed by an earlier one reports zero even though its glob matches. That is
the case worth catching: such a rule looks correct in isolation and can never
fire.
d removes the selected rule and p removes every unused one, each behind a y/n
confirmation since this rewrites a hand-maintained file. config.DeleteRules
edits rules.toml textually rather than re-serialising the parsed rules, so
comments and layout survive; a comment directly above a rule goes with it,
while one separated by a blank line is left as a heading. The result is
re-parsed before it replaces the file.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
A data directory holds one folder per account. Statements dropped into
those folders are parsed into a rebuildable SQLite index, categorised by
ordered glob rules in rules.toml, and browsed or hand-tagged in a Bubble
Tea TUI. Movements between the user's own accounts are marked as
transfers by the same rules and excluded from spending totals.
Manual tags and transfer marks are stored separately from the rule-derived
ones and always win, so editing rules.toml and re-running retag never
destroys hand edits.
Parsers are pluggable. Three are ported from the Python extractors they
replace -- nlb and traderepublic read PDFs via pdftotext -layout, revolut
reads the CSV export -- alongside a configurable-column CSV parser and a
cmd parser that shells out to an external script.
Both ports fix two latent bugs in the originals: the sign character class
rejected the typographic minus U+2212 that some PDF fonts emit, and NLB's
hardcoded continuation indent broke when pdftotext compressed runs of
spaces, so the threshold is now measured from the description column.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
nikolaandClaude Opus 5