* 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
99 lines
3.4 KiB
TypeScript
99 lines
3.4 KiB
TypeScript
import { NextResponse } from 'next/server'
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import { parseBankFile, generateFileHash, detectFileFormat } from '@/lib/import/bank-file/parser'
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import { decodeFileContent } from '@/lib/import/shared/encoding'
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import { withRouteContext } from '@/lib/api/with-route-context'
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import { errorResponseFromCode } from '@/lib/errors/get-structured-error'
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import type { BankFileFormatId } from '@/lib/import/bank-file/types'
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/**
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* POST /api/import/bank-file/parse
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*
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* Accepts a bank file (CSV/XML) via FormData, auto-detects format, and returns
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* a parsed transactions preview with duplicate detection.
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*/
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export const POST = withRouteContext(
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'bank_file.parse',
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async (request, ctx) => {
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const { supabase, companyId, log, requestId } = ctx
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const formData = await request.formData()
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const file = formData.get('file') as File | null
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const formatOverride = formData.get('format') as BankFileFormatId | null
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if (!file) {
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return errorResponseFromCode('BANK_FILE_NO_FILE', log, { requestId })
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}
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if (file.size > 10 * 1024 * 1024) {
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return errorResponseFromCode('BANK_FILE_TOO_LARGE', log, {
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requestId,
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details: { sizeMb: +(file.size / 1024 / 1024).toFixed(1) },
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})
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}
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const opLog = log.child({ filename: file.name, sizeBytes: file.size })
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try {
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const arrayBuffer = await file.arrayBuffer()
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const content = decodeFileContent(arrayBuffer)
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const fileHash = generateFileHash(content)
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const { data: existingImport } = await supabase
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.from('bank_file_imports')
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.select('id, status, imported_count, created_at')
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.eq('company_id', companyId)
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.eq('file_hash', fileHash)
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.single()
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if (existingImport && existingImport.status === 'completed') {
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return errorResponseFromCode('BANK_FILE_DUPLICATE', opLog, {
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requestId,
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details: {
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importId: existingImport.id,
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importedCount: existingImport.imported_count,
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importedAt: existingImport.created_at,
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},
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})
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}
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const detectedFormat = formatOverride
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? null
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: detectFileFormat(content, file.name)
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const parseResult = parseBankFile(content, file.name, formatOverride || undefined)
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let existingCount = 0
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if (parseResult.transactions.length > 0) {
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const { count } = await supabase
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.from('transactions')
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.select('*', { count: 'exact', head: true })
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.eq('company_id', companyId)
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.gte('date', parseResult.date_from || '1970-01-01')
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.lte('date', parseResult.date_to || '2099-12-31')
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existingCount = count || 0
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}
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return NextResponse.json({
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data: {
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parse_result: parseResult,
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detected_format: detectedFormat?.id || formatOverride || null,
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detected_format_name: detectedFormat?.name || parseResult.format_name,
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file_hash: fileHash,
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filename: file.name,
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existing_transaction_count: existingCount,
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headers: parseResult.format === 'generic_csv'
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? content.split('\n')[0]?.split(',').map((h) => h.trim()) || []
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: null,
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},
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})
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} catch (err) {
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opLog.error('bank file parse failed', err as Error)
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return errorResponseFromCode('BANK_FILE_PARSE_FAILED', opLog, {
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requestId,
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details: { reason: err instanceof Error ? err.message : 'unknown' },
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})
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}
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},
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)
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