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>
120 lines
2.9 KiB
Go
120 lines
2.9 KiB
Go
// Package report aggregates transactions for the summary views.
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//
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// Transfers between the user's own accounts are excluded everywhere: moving
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// money from checking to savings is not income and not spending.
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package report
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import (
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"sort"
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"git.petrovv.com/nikola/money/internal/model"
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)
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// TagTotal is one row of a spending breakdown.
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type TagTotal struct {
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Tag string
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Currency string
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In int64 // sum of inflows, positive
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Out int64 // sum of outflows, positive
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Count int
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Digits int
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}
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// Net is inflow minus outflow.
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func (t TagTotal) Net() int64 { return t.In - t.Out }
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// ByTag groups transactions by currency and effective tag. Untagged rows are
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// collected under "(untagged)" so they stay visible instead of vanishing.
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const Untagged = "(untagged)"
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// ByTag returns totals sorted by currency, then by largest outflow first.
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func ByTag(txns []model.Transaction) []TagTotal {
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type key struct{ currency, tag string }
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acc := map[key]*TagTotal{}
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for _, t := range txns {
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if t.IsTransfer() {
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continue
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}
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tag := t.Tag()
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if tag == "" {
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tag = Untagged
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}
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k := key{t.Currency, tag}
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row, ok := acc[k]
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if !ok {
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row = &TagTotal{Tag: tag, Currency: t.Currency, Digits: t.MinorDigits}
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acc[k] = row
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}
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if t.AmountMinor < 0 {
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row.Out += -t.AmountMinor
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} else {
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row.In += t.AmountMinor
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}
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row.Count++
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}
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out := make([]TagTotal, 0, len(acc))
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for _, row := range acc {
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out = append(out, *row)
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}
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sort.Slice(out, func(i, j int) bool {
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if out[i].Currency != out[j].Currency {
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return out[i].Currency < out[j].Currency
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}
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if out[i].Out != out[j].Out {
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return out[i].Out > out[j].Out
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}
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return out[i].Tag < out[j].Tag
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})
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return out
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}
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// CurrencyTotal is the bottom line for one currency.
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type CurrencyTotal struct {
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Currency string
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In int64
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Out int64
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Digits int
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}
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// Net is inflow minus outflow.
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func (c CurrencyTotal) Net() int64 { return c.In - c.Out }
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// Totals sums the per-tag rows per currency. Currencies are never combined,
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// because the tool holds no exchange rates.
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func Totals(rows []TagTotal) []CurrencyTotal {
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acc := map[string]*CurrencyTotal{}
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for _, r := range rows {
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c, ok := acc[r.Currency]
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if !ok {
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c = &CurrencyTotal{Currency: r.Currency, Digits: r.Digits}
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acc[r.Currency] = c
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}
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c.In += r.In
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c.Out += r.Out
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}
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out := make([]CurrencyTotal, 0, len(acc))
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for _, c := range acc {
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out = append(out, *c)
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}
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sort.Slice(out, func(i, j int) bool { return out[i].Currency < out[j].Currency })
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return out
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}
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// Months lists the distinct YYYY-MM present in txns, most recent first.
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func Months(txns []model.Transaction) []string {
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seen := map[string]bool{}
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for _, t := range txns {
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if len(t.Date) >= 7 {
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seen[t.Date[:7]] = true
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}
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}
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out := make([]string, 0, len(seen))
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for m := range seen {
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out = append(out, m)
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}
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sort.Sort(sort.Reverse(sort.StringSlice(out)))
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return out
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}
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