Em dashes (—) and en dashes (–) had spread across comments, docs, tests, and a few UI strings, reading as AI-generated boilerplate rather than house style. Replaced each with punctuation matching its context: colon for explanatory clauses, comma for asides, plain hyphen for numeric/legal ranges (e.g. "21-23§"), "to"/"till" for date ranges, parentheses for paired-dash asides. messages/en.json and messages/sv.json were fixed by hand together to keep sv/en in sync. Left untouched where the dash is the functional subject rather than decorative punctuation: date-range-parser.ts's separator regex, charset-repair.ts's CP1252 byte-mapping table (and its test), the SIE encoding mojibake docs, generic-csv.ts's minus-sign normalizer, the agent system-prompt files that already instruct against em dashes, and a golden iXBRL test fixture compared byte-for-byte. Also fixes two bugs surfaced along the way: an off-by-one in ApiKeysPanel's scope-label split (a leftover from an earlier partial pass), and a charset-repair test that had lost the literal en-dash it exists to verify. Regenerated the agent atom seed migration (skills:generate) since 27 SKILL.md files changed. Added a CLAUDE.md rule against em/en dashes, with an explicit carve-out for the functional-dash cases above. Co-authored-by: Claude Sonnet 5 <noreply@anthropic.com>
93 lines
3.2 KiB
TypeScript
93 lines
3.2 KiB
TypeScript
import { describe, expect, it } from 'vitest'
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import {
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buildMerchantHistory,
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getSuggestedCategories,
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merchantHistoryFor,
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} from '../category-suggestions'
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import type { Transaction } from '@/types'
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/**
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* P2-1 (mcp_optimization_plan): suggestions must carry signal tied to THIS
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* transaction. The old company-wide frequency fallback emitted an identical
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* ~0.5 four-way spread on every transaction: noise agents correctly
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* distrusted. History is now counterparty-keyed with provenance; when no
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* source matches, the honest answer is an empty list.
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*/
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const tx = (overrides: Partial<Transaction> = {}): Transaction =>
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({
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id: 'tx-1',
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company_id: 'company-1',
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date: '2026-06-01',
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description: 'KORTKÖP POLARN O PYRET',
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amount: -500,
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currency: 'SEK',
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merchant_name: 'Polarn O. Pyret',
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...overrides,
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}) as Transaction
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describe('buildMerchantHistory / merchantHistoryFor', () => {
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const rows = [
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{ merchant_name: 'Polarn O. Pyret', category: 'expense_office' },
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{ merchant_name: 'polarn o. pyret', category: 'expense_office' },
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{ merchant_name: 'Polarn O. Pyret', category: 'expense_consumables' },
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{ merchant_name: 'DNB Bank', category: 'expense_bank_fees' },
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{ merchant_name: null, category: 'expense_other' },
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{ merchant_name: 'Ghost AB', category: null },
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]
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it('groups case-insensitively by merchant and ignores null merchants/categories', () => {
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const map = buildMerchantHistory(rows)
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expect(merchantHistoryFor(map, 'POLARN O. PYRET')).toEqual({
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expense_office: 2,
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expense_consumables: 1,
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})
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expect(merchantHistoryFor(map, 'DNB Bank')).toEqual({ expense_bank_fees: 1 })
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expect(merchantHistoryFor(map, 'Unknown Vendor')).toEqual({})
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expect(merchantHistoryFor(map, null)).toEqual({})
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})
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})
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describe('getSuggestedCategories: counterparty history', () => {
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it('returns an empty list (not a fabricated spread) when nothing matches', () => {
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const result = getSuggestedCategories(
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tx({ merchant_name: 'Helt Okänd Motpart', description: 'XYZ 123' }),
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[],
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{},
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)
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expect(result).toEqual([])
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})
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it('surfaces merchant history with provenance and occurrence-scaled confidence', () => {
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const result = getSuggestedCategories(tx({ description: 'XYZ 123' }), [], {
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expense_office: 3,
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expense_consumables: 1,
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})
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expect(result.length).toBe(2)
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expect(result[0]).toMatchObject({
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category: 'expense_office',
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source: 'history',
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confidence: Math.min(0.85, 0.5 + 3 * 0.06),
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})
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expect(result[0].match_reason).toMatch(/3 gånger tidigare för denna motpart/)
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expect(result[1].category).toBe('expense_consumables')
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expect(result[1].match_reason).toMatch(/1 gång tidigare/)
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})
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it('caps history confidence at 0.85', () => {
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const result = getSuggestedCategories(tx({ description: 'XYZ 123' }), [], {
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expense_office: 50,
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})
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expect(result[0].confidence).toBe(0.85)
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})
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it('filters history to the transaction direction', () => {
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const result = getSuggestedCategories(
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tx({ amount: 1000, description: 'XYZ 123' }), // income direction
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[],
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{ expense_office: 5 },
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)
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expect(result).toEqual([])
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})
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})
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