Files
accounted/lib/import/bank-file/formats/lunar.ts
T
Mattsson 81e9dd224e Add/csv import options (#420)
* feat(import): add customer and supplier parsing functionality

- Implemented customer file parsing in `lib/import/customers/parser.ts` with support for Excel and CSV formats.
- Created types for detected customer columns and parsed customer rows in `lib/import/customers/types.ts`.
- Added tests for customer classification logic in `lib/import/shared/__tests__/classify.test.ts`.
- Developed classification functions for customers and suppliers in `lib/import/shared/classify.ts`.
- Introduced shared column utility functions in `lib/import/shared/column-utils.ts`.
- Implemented supplier file parsing in `lib/import/suppliers/parser.ts` with validation for various fields.
- Created types for detected supplier columns and parsed supplier rows in `lib/import/suppliers/types.ts`.
- Added tests for supplier column detection and parsing in `lib/import/suppliers/__tests__/column-detector.test.ts` and `lib/import/suppliers/__tests__/parser.test.ts`.

* fix(labels): update 'Svenskt företag' to 'Svenskt företag eller organisation' for clarity

* feat(import): refactor encoding handling for Swedish files and add tests for character preservation

* feat(recapt): implement clearRecaptIdentity function and integrate into logout flow

* feat(bookkeeping): implement copy functionality and next voucher sequence retrieval

* feat(import): enhance customer and supplier import functionality with normalization and event handling
2026-05-08 15:42:06 +02:00

149 lines
4.9 KiB
TypeScript

/**
* Lunar CSV format parser
*
* Format: Comma-delimited, comma decimal separator (amounts are quoted)
* Columns: Date, Text, Amount, Balance (English headers)
* Date format: YYYY-MM-DD
* Encoding: UTF-8
*
* Notes:
* - English headers distinguish Lunar from Nordea (Swedish headers)
* - Amounts use comma as decimal separator but are quoted since the file
* delimiter is also comma
* - Thousand separator is period (e.g. "1.234,56")
*/
import type { BankFileFormat, BankFileParseResult, ParsedBankTransaction, BankFileParseIssue } from '../types'
import { prepareContent } from '../../shared/encoding'
import { normalizeDate } from '../date-utils'
import { parseCSVLine } from './nordea'
function parseLunarAmount(value: string): number {
// Lunar format: "1.234,56" or "-1.234,56"
// Remove period (thousand separator), replace comma (decimal separator) with period
const cleaned = value.replace(/\./g, '').replace(',', '.')
return parseFloat(cleaned)
}
export const lunarFormat: BankFileFormat = {
id: 'lunar',
name: 'Lunar',
description: 'Lunar CSV (comma-delimited, English headers)',
fileExtensions: ['.csv', '.txt'],
detect(content: string, _filename: string): boolean {
const prepared = prepareContent(content)
const firstLine = prepared.split('\n')[0]?.toLowerCase() || ''
// Lunar: comma-delimited with English headers
// Must NOT contain semicolons, must have "date", "text", "amount", "balance"
return (
!firstLine.includes(';') &&
firstLine.includes('date') &&
firstLine.includes('text') &&
firstLine.includes('amount') &&
firstLine.includes('balance')
)
},
parse(content: string): BankFileParseResult {
const prepared = prepareContent(content)
const lines = prepared.split('\n').filter((line) => line.trim() !== '')
const transactions: ParsedBankTransaction[] = []
const issues: BankFileParseIssue[] = []
let skippedRows = 0
// Parse header
const headerLine = lines[0] || ''
const headers = parseCSVLine(headerLine, ',').map((h) => h.trim().toLowerCase().replace(/"/g, ''))
const dateIdx = headers.findIndex((h) => h === 'date')
const descIdx = headers.findIndex((h) => h === 'text')
const amountIdx = headers.findIndex((h) => h === 'amount')
const balanceIdx = headers.findIndex((h) => h === 'balance')
if (dateIdx === -1 || amountIdx === -1) {
issues.push({
row: 1,
message: 'Could not identify required columns (date, amount)',
severity: 'error',
})
return {
format: 'lunar',
format_name: 'Lunar',
transactions: [],
date_from: null,
date_to: null,
issues,
stats: { total_rows: 0, parsed_rows: 0, skipped_rows: 0, total_income: 0, total_expenses: 0 },
}
}
for (let i = 1; i < lines.length; i++) {
const line = lines[i].trim()
if (!line) continue
const fields = parseCSVLine(line, ',').map((f) => f.trim().replace(/^"|"$/g, ''))
const date = fields[dateIdx]
const description = descIdx >= 0 ? fields[descIdx] : 'Unknown'
const amountStr = fields[amountIdx]
const balanceStr = balanceIdx >= 0 ? fields[balanceIdx] : undefined
if (!date || !amountStr) {
const missing = []
if (!date) missing.push('datum')
if (!amountStr) missing.push('belopp')
issues.push({ row: i + 1, message: `Saknar ${missing.join(' och ')}`, severity: 'warning' })
skippedRows++
continue
}
const amount = parseLunarAmount(amountStr)
if (isNaN(amount)) {
issues.push({ row: i + 1, message: `Invalid amount: ${amountStr}`, severity: 'warning' })
skippedRows++
continue
}
const normalizedDate = normalizeDate(date)
if (!normalizedDate) {
issues.push({ row: i + 1, message: `Invalid date: ${date}`, severity: 'warning' })
skippedRows++
continue
}
const balance = balanceStr ? parseLunarAmount(balanceStr) : null
transactions.push({
date: normalizedDate,
description: (description || 'Unknown').trim(),
amount,
currency: 'SEK',
balance: isNaN(balance as number) ? null : balance,
reference: null,
counterparty: null,
raw_line: line,
})
}
const dates = transactions.map((t) => t.date).sort()
return {
format: 'lunar',
format_name: 'Lunar',
transactions,
date_from: dates[0] || null,
date_to: dates[dates.length - 1] || null,
issues,
stats: {
total_rows: lines.length - 1,
parsed_rows: transactions.length,
skipped_rows: skippedRows,
total_income: Math.round(transactions.filter((t) => t.amount > 0).reduce((s, t) => s + t.amount, 0) * 100) / 100,
total_expenses: Math.round(transactions.filter((t) => t.amount < 0).reduce((s, t) => s + t.amount, 0) * 100) / 100,
},
}
},
}