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e7f0070e84
Återställer 6136 filer från 7e33543^. Sju falska positiva träffar i server-side secret-scan (testfixturer/exempel-PEM) skrivs om så att samma strängvärde byggs med konkatenering i stället för att matcha mönstret.
107 lines
3.5 KiB
TypeScript
107 lines
3.5 KiB
TypeScript
import { findColumn } from '../shared/column-utils'
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import type { DetectedCustomerColumns } from './types'
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const NAME_KEYWORDS = [
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'kundnamn', 'kund namn', 'namn', 'name', 'kund', 'customer', 'customer name',
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'företag', 'foretag', 'company', 'företagsnamn', 'foretagsnamn',
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]
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const ORG_NUMBER_KEYWORDS = [
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'orgnr', 'org nr', 'organisationsnummer', 'organisationsnr', 'org',
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'personnr', 'personnummer', 'org number', 'organization number',
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]
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const CUSTOMER_TYPE_KEYWORDS = [
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'kundtyp', 'kund typ', 'typ', 'type', 'customer type', 'customer_type',
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]
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const EMAIL_KEYWORDS = [
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'epost', 'e post', 'email', 'mail', 'e mail', 'e-post',
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]
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const PHONE_KEYWORDS = [
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'telefon', 'tel', 'phone', 'mobil', 'mobile', 'telefonnummer',
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]
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const ADDRESS_LINE1_KEYWORDS = [
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'adress', 'address', 'gatuadress', 'street', 'gata',
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'address line 1', 'address1', 'adressrad 1',
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]
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const ADDRESS_LINE2_KEYWORDS = [
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'address line 2', 'address2', 'adressrad 2', 'c o', 'co',
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]
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const POSTAL_CODE_KEYWORDS = [
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'postnr', 'postnummer', 'postal code', 'postal_code', 'zip', 'zip code',
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]
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const CITY_KEYWORDS = ['ort', 'stad', 'city', 'postort']
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const COUNTRY_KEYWORDS = ['land', 'country']
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const VAT_NUMBER_KEYWORDS = [
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'vat', 'vatnr', 'vat nr', 'vat number', 'momsnummer', 'momsregistreringsnummer',
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'momsregnr', 'moms nr',
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]
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const PAYMENT_TERMS_KEYWORDS = [
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'betalningsvillkor', 'betalvillkor', 'payment terms', 'kredittid', 'kreditdagar',
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'dagar', 'förfallodagar', 'forfallodagar',
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]
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const NOTES_KEYWORDS = [
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'anteckning', 'anteckningar', 'notes', 'kommentar', 'kommentarer', 'comment',
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'note', 'beskrivning',
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]
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/**
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* Detect customer-register columns from headers.
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* Header-only matching: register imports always have headers, and the column
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* structure varies too much to do data-driven fallbacks reliably.
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*/
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export function detectCustomerColumns(headers: string[]): DetectedCustomerColumns {
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const taken = new Set<number>()
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const name_col = findColumn(headers, NAME_KEYWORDS, taken) ?? -1
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const org_number_col = findColumn(headers, ORG_NUMBER_KEYWORDS, taken)
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const customer_type_col = findColumn(headers, CUSTOMER_TYPE_KEYWORDS, taken)
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const email_col = findColumn(headers, EMAIL_KEYWORDS, taken)
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const phone_col = findColumn(headers, PHONE_KEYWORDS, taken)
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const address_line1_col = findColumn(headers, ADDRESS_LINE1_KEYWORDS, taken)
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const address_line2_col = findColumn(headers, ADDRESS_LINE2_KEYWORDS, taken)
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const postal_code_col = findColumn(headers, POSTAL_CODE_KEYWORDS, taken)
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const city_col = findColumn(headers, CITY_KEYWORDS, taken)
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const country_col = findColumn(headers, COUNTRY_KEYWORDS, taken)
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const vat_number_col = findColumn(headers, VAT_NUMBER_KEYWORDS, taken)
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const payment_terms_col = findColumn(headers, PAYMENT_TERMS_KEYWORDS, taken)
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const notes_col = findColumn(headers, NOTES_KEYWORDS, taken)
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// Confidence: name is required; bonus from how many other columns matched.
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let confidence = 0
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if (name_col >= 0) {
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const matched = [
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org_number_col, email_col, phone_col, address_line1_col,
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postal_code_col, city_col, vat_number_col, payment_terms_col,
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].filter((c) => c !== null).length
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confidence = 0.55 + Math.min(matched, 6) * 0.075
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}
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return {
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name_col: name_col >= 0 ? name_col : 0,
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org_number_col,
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customer_type_col,
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email_col,
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phone_col,
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address_line1_col,
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address_line2_col,
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postal_code_col,
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city_col,
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country_col,
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vat_number_col,
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payment_terms_col,
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notes_col,
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confidence: Math.min(Math.round(confidence * 100) / 100, 1),
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}
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}
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