refactor: consolidate AI analyzers into shared lib/ai module and add journal entry reversal columns
Extract shared vision/document analysis logic into lib/ai (vision-client, document-analyzer, image preprocessing, validation helpers), simplifying invoice-analyzer, receipt-analyzer, and document classifier. Add migration 046 for journal entry reversal/correction link columns (reversed_by_id, reverses_id, correction_of_id) required by storno service. Update extension components and shared UI. Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
This commit is contained in:
Jakob Wennberg
co-authored by
Claude Opus 4.6
Claude Opus 4.6
parent
6d647b956c
commit
3f255ea201
@@ -2,7 +2,7 @@ import { NextResponse } from 'next/server'
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import type { ApiRouteDefinition, ExtensionContext } from '@/lib/extensions/types'
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import type { ConfirmReceiptInput, Receipt, ReceiptLineItem, Transaction } from '@/types'
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import { analyzeReceipt } from './lib/receipt-analyzer'
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import { processLineItems } from './lib/receipt-categorizer'
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import { processLineItems, getDefaultClassification } from './lib/receipt-categorizer'
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import { findTransactionMatches } from './lib/receipt-matcher'
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import { getSettings, saveSettings } from './index'
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@@ -144,6 +144,10 @@ async function handleUpload(
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// Process and categorize line items
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const processedLineItems = processLineItems(extraction.lineItems)
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const { defaultIsBusiness } = getDefaultClassification(
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extraction.flags.isRestaurant,
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extraction.flags.isSystembolaget
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)
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// Update receipt with extracted data
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const { error: updateError } = await supabase
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@@ -184,6 +188,7 @@ async function handleUpload(
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suggested_category: item.suggestedCategory,
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category: item.category,
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bas_account: item.basAccount,
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is_business: defaultIsBusiness,
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sort_order: index,
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}))
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@@ -145,9 +145,9 @@ describe('getDefaultClassification', () => {
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expect(result.warningMessage).toContain('Restaurangbesök')
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})
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it('non-restaurant, non-systembolaget has no warning', () => {
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it('normal receipt defaults to business', () => {
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const result = getDefaultClassification(false, false)
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expect(result.defaultIsBusiness).toBeNull()
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expect(result.defaultIsBusiness).toBe(true)
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expect(result.requiresReview).toBe(false)
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expect(result.warningMessage).toBeNull()
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})
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@@ -12,6 +12,11 @@ vi.mock('../receipt-analyzer', () => ({
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// Mock receipt categorizer
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vi.mock('../receipt-categorizer', () => ({
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processLineItems: vi.fn(),
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getDefaultClassification: vi.fn().mockReturnValue({
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defaultIsBusiness: true,
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requiresReview: false,
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warningMessage: null,
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}),
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}))
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// Mock receipt matcher
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@@ -1,24 +1,21 @@
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/**
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* Receipt Analyzer using Claude Haiku Vision API
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* Receipt Analyzer — delegates to lib/ai/document-analyzer for extraction,
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* then applies receipt-specific validation and enhancement.
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*
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* SERVER-ONLY: This module uses the Anthropic SDK and must only be imported
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* in server components or API routes.
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* SERVER-ONLY: uses the shared vision client via document-analyzer.
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*
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* Analyzes receipt images and extracts line items, merchant info,
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* and special flags (restaurant, Systembolaget, foreign merchant).
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* Preserved public API: analyzeReceipt() and estimateProductValue().
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*/
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import 'server-only'
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import Anthropic from '@anthropic-ai/sdk'
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import { ChatAnthropic } from '@langchain/anthropic'
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import { HumanMessage, SystemMessage } from '@langchain/core/messages'
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import { z } from 'zod'
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import type { ReceiptExtractionResult, ExtractedLineItem } from '@/types'
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import { buildTemplatePromptSection } from '@/lib/bookkeeping/template-prompt'
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import type { ReceiptExtractionResult } from '@/types'
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import { extractReceipt } from '@/lib/ai/document-analyzer'
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import {
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SYSTEMBOLAGET_PATTERNS,
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RESTAURANT_PATTERNS,
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RESTAURANT_MCC_CODES,
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} from './receipt-utils'
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// Re-export client-safe functions for convenience
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@@ -29,255 +26,46 @@ export {
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detectRestaurant,
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} from './receipt-utils'
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const anthropic = new Anthropic()
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// Maximum retries for API calls
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// Retry config for estimateProductValue (still uses LangChain, not vision-client)
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const MAX_RETRIES = 3
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const RETRY_DELAY_MS = 1000
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/**
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* Analyze a receipt image using Claude Haiku Vision
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* Analyze a receipt image using Claude Haiku Vision.
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* Delegates extraction to the shared core, then applies receipt-specific enhancements.
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*/
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export async function analyzeReceipt(
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imageBase64: string,
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mimeType: 'image/jpeg' | 'image/png' | 'image/webp' | 'image/gif' = 'image/jpeg'
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): Promise<ReceiptExtractionResult> {
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const systemPrompt = `Du är expert på att extrahera data från svenska kvitton och fakturor.
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Din uppgift är att noggrant analysera kvittobilden och extrahera all relevant information.
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VIKTIGT:
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- Extrahera VARJE artikelrad, inte bara summan
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- Identifiera momssats per rad om möjligt (25%, 12%, 6%)
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- Flagga om detta är: restaurang, Systembolaget, eller utländsk handlare
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- Svenska organisationsnummer är i format XXXXXX-XXXX
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- Momsregistreringsnummer börjar med SE
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- Datum ska vara i ISO-format (YYYY-MM-DD)
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- Belopp ska vara numeriska värden utan valutasymboler
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- Ange konfidenstal (0.0-1.0) för hela extraheringen baserat på bildkvalitet`
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const templateSection = buildTemplatePromptSection()
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const userPrompt = `Analysera detta kvitto och extrahera strukturerad data.
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Returnera ett JSON-objekt med följande struktur:
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{
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"merchant": {
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"name": "Handlarens namn",
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"orgNumber": "XXXXXX-XXXX eller null",
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"vatNumber": "SE... eller null",
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"isForeign": false
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},
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"receipt": {
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"date": "YYYY-MM-DD",
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"time": "HH:MM eller null",
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"currency": "SEK"
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},
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"lineItems": [
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{
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"description": "Artikelbeskrivning",
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"quantity": 1,
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"unitPrice": 100.00,
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"lineTotal": 100.00,
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"vatRate": 25,
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"suggestedCategory": "equipment|software|travel|office|marketing|professional_services|education|other",
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"suggestedTemplateId": "mall-id eller null"
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}
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],
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"totals": {
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"subtotal": 100.00,
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"vatAmount": 25.00,
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"total": 125.00
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},
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"flags": {
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"isRestaurant": false,
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"isSystembolaget": false,
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"isForeignMerchant": false
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},
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"confidence": 0.95,
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"suggestedTemplateId": "mall-id för hela kvittot eller null"
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}
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${templateSection}
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KATEGORIER för suggestedCategory (backup om ingen mall matchar):
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- equipment: Datorer, telefoner, kameror, teknikprylar
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- software: Program, appar, molntjänster, prenumerationer
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- travel: Flyg, tåg, hotell, taxi
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- office: Kontorsmaterial, möbler, hyra
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- marketing: Reklam, marknadsföring, PR
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- professional_services: Konsulter, redovisning, juridik
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- education: Kurser, böcker, utbildning
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- other: Övrigt
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Returnera ENDAST JSON-objektet, ingen annan text.`
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let lastError: Error | null = null
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for (let attempt = 0; attempt < MAX_RETRIES; attempt++) {
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try {
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const message = await anthropic.messages.create({
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model: 'claude-haiku-4-5-20251001',
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max_tokens: 4096,
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messages: [
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{
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role: 'user',
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content: [
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{
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type: 'image',
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source: {
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type: 'base64',
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media_type: mimeType,
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data: imageBase64,
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},
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},
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{
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type: 'text',
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text: userPrompt,
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},
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],
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},
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],
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system: systemPrompt,
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})
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// Extract the text content
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const content = message.content[0]
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if (content.type !== 'text') {
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throw new Error('Unexpected response type from AI')
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}
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// Parse the JSON response - strip markdown code blocks if present
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let jsonText = content.text.trim()
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if (jsonText.startsWith('```json')) {
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jsonText = jsonText.slice(7)
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} else if (jsonText.startsWith('```')) {
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jsonText = jsonText.slice(3)
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}
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if (jsonText.endsWith('```')) {
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jsonText = jsonText.slice(0, -3)
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}
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jsonText = jsonText.trim()
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const parsed = JSON.parse(jsonText)
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// Validate and enhance the result
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return validateAndEnhanceResult(parsed)
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} catch (error) {
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lastError = error instanceof Error ? error : new Error('Unknown error')
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// Don't retry on JSON parse errors
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if (error instanceof SyntaxError) {
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throw new Error(`Failed to parse AI response: ${lastError.message}`)
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}
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// Wait before retrying
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if (attempt < MAX_RETRIES - 1) {
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await sleep(RETRY_DELAY_MS * (attempt + 1))
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}
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}
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}
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throw new Error(`Receipt analysis failed after ${MAX_RETRIES} attempts: ${lastError?.message}`)
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const raw = await extractReceipt(imageBase64, mimeType)
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return validateAndEnhanceResult(raw)
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}
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/**
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* Validate and enhance the extraction result
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* Receipt-specific validation and enhancement.
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* Applies Systembolaget/restaurant/foreign merchant detection
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* on top of the core extraction result.
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*/
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function validateAndEnhanceResult(raw: unknown): ReceiptExtractionResult {
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if (!raw || typeof raw !== 'object') {
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throw new Error('Invalid extraction result: not an object')
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}
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function validateAndEnhanceResult(result: ReceiptExtractionResult): ReceiptExtractionResult {
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// Detect special merchants using local patterns
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const merchantName = (result.merchant.name || '').toLowerCase()
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const isSystembolaget = result.flags.isSystembolaget || detectSystembolagetLocal(merchantName)
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const isRestaurant = result.flags.isRestaurant || detectRestaurantLocal(merchantName)
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const isForeign = result.flags.isForeignMerchant || detectForeignMerchant(result.merchant, result.receipt.currency)
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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const data = raw as any
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const merchant = data.merchant || {}
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const receipt = data.receipt || {}
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const totals = data.totals || {}
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const flags = data.flags || {}
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// Validate line items
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const lineItems = validateLineItems(data.lineItems)
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// Detect special merchants if not already flagged
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const merchantName = (merchant.name || '').toLowerCase()
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const isSystembolaget = flags.isSystembolaget || detectSystembolagetLocal(merchantName)
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const isRestaurant = flags.isRestaurant || detectRestaurantLocal(merchantName)
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const isForeign = flags.isForeignMerchant || detectForeignMerchant(merchant, receipt.currency)
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const result: ReceiptExtractionResult = {
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return {
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...result,
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merchant: {
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name: validateString(merchant.name),
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orgNumber: validateOrgNumber(merchant.orgNumber),
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vatNumber: validateVatNumber(merchant.vatNumber),
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...result.merchant,
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isForeign,
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},
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receipt: {
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date: validateDate(receipt.date),
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time: validateTime(receipt.time),
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currency: validateString(receipt.currency) || 'SEK',
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},
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lineItems,
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totals: {
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subtotal: validateNumber(totals.subtotal),
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vatAmount: validateNumber(totals.vatAmount),
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total: validateNumber(totals.total),
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},
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flags: {
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isRestaurant,
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isSystembolaget,
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isForeignMerchant: isForeign,
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},
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confidence: validateNumber(data.confidence) || 0.5,
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suggestedTemplateId: validateString(data.suggestedTemplateId) || undefined,
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}
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return result
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}
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/**
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* Validate line items array
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*/
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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function validateLineItems(data: any): ExtractedLineItem[] {
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if (!Array.isArray(data)) return []
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return data
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.filter((item) => item && typeof item === 'object' && item.description)
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.map((item) => ({
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description: String(item.description).trim(),
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quantity: validateNumber(item.quantity) || 1,
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unitPrice: validateNumber(item.unitPrice),
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lineTotal: validateNumber(item.lineTotal) || 0,
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vatRate: validateNumber(item.vatRate),
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suggestedCategory: validateCategory(item.suggestedCategory),
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suggestedTemplateId: validateString(item.suggestedTemplateId) || undefined,
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confidence: validateNumber(item.confidence) || undefined,
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}))
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.filter((item) => item.lineTotal > 0 || item.description.length > 0)
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}
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/**
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* Validate expense category suggestion
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*/
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function validateCategory(value: unknown): string | null {
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const validCategories = [
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'equipment',
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'software',
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'travel',
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'office',
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'marketing',
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'professional_services',
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'education',
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'other',
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]
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if (typeof value === 'string' && validCategories.includes(value)) {
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return value
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}
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return null
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}
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/**
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@@ -297,104 +85,27 @@ function detectRestaurantLocal(merchantName: string): boolean {
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/**
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* Detect if merchant is foreign (non-Swedish)
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*/
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// eslint-disable-next-line @typescript-eslint/no-explicit-any
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function detectForeignMerchant(merchant: any, currency?: string): boolean {
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// Check currency (non-SEK suggests foreign)
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if (currency && currency !== 'SEK') {
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return true
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}
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function detectForeignMerchant(
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merchant: ReceiptExtractionResult['merchant'],
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currency?: string
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): boolean {
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if (currency && currency !== 'SEK') return true
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// Check org number format (Swedish org numbers are 10 digits)
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const orgNumber = merchant.orgNumber || ''
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if (orgNumber && !isSwedishOrgNumber(orgNumber)) {
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return true
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if (orgNumber) {
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const digits = orgNumber.replace(/\D/g, '')
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if (digits.length !== 10) return true
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}
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// Check VAT number (Swedish starts with SE)
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const vatNumber = merchant.vatNumber || ''
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if (vatNumber && !vatNumber.toUpperCase().startsWith('SE')) {
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return true
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}
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if (vatNumber && !vatNumber.toUpperCase().startsWith('SE')) return true
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return false
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}
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/**
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* Check if org number is Swedish format
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*/
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function isSwedishOrgNumber(value: string): boolean {
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const digits = value.replace(/\D/g, '')
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return digits.length === 10
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}
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// Validation helpers
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function validateString(value: unknown): string | null {
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if (typeof value === 'string' && value.trim()) {
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return value.trim()
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}
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return null
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}
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function validateNumber(value: unknown): number | null {
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if (typeof value === 'number' && !isNaN(value)) {
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return value
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}
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if (typeof value === 'string') {
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const parsed = parseFloat(value.replace(/[^\d.-]/g, ''))
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if (!isNaN(parsed)) {
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return parsed
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}
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}
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return null
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}
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function validateDate(value: unknown): string | null {
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if (typeof value !== 'string') return null
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const date = new Date(value)
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if (isNaN(date.getTime())) return null
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return date.toISOString().split('T')[0]
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}
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function validateTime(value: unknown): string | null {
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if (typeof value !== 'string') return null
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// Match HH:MM or HH:MM:SS
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const match = value.match(/^(\d{2}):(\d{2})(:\d{2})?$/)
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if (match) {
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return `${match[1]}:${match[2]}`
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}
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return null
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}
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function validateOrgNumber(value: unknown): string | null {
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if (typeof value !== 'string') return null
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const digits = value.replace(/\D/g, '')
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// Swedish org numbers are 10 digits
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if (digits.length === 10) {
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return `${digits.slice(0, 6)}-${digits.slice(6)}`
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}
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return null
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}
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function validateVatNumber(value: unknown): string | null {
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if (typeof value !== 'string') return null
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const cleaned = value.trim().toUpperCase()
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if (cleaned.startsWith('SE') && cleaned.length >= 12) {
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return cleaned
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}
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return null
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}
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function sleep(ms: number): Promise<void> {
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return new Promise((resolve) => setTimeout(resolve, ms))
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}
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// ============================================================
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// Product Value Estimation (LangChain — separate from receipt analysis)
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// ============================================================
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const ProductEstimationSchema = z.object({
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estimatedValue: z.number().describe('Uppskattat marknadsvärde i SEK'),
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@@ -404,8 +115,8 @@ const ProductEstimationSchema = z.object({
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})
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|
||||
/**
|
||||
* Estimate product value from image using Claude Vision via LangChain
|
||||
* Used for gift/product registration without receipt
|
||||
* Estimate product value from image using Claude Vision via LangChain.
|
||||
* Used for gift/product registration without receipt.
|
||||
*/
|
||||
export async function estimateProductValue(
|
||||
imageBase64: string,
|
||||
@@ -467,3 +178,7 @@ Din uppgift är att identifiera produkten och ge en rimlig uppskattning av dess
|
||||
|
||||
throw new Error(`Product value estimation failed after ${MAX_RETRIES} attempts: ${lastError?.message}`)
|
||||
}
|
||||
|
||||
function sleep(ms: number): Promise<void> {
|
||||
return new Promise((resolve) => setTimeout(resolve, ms))
|
||||
}
|
||||
|
||||
@@ -277,7 +277,7 @@ export function getDefaultClassification(
|
||||
}
|
||||
|
||||
return {
|
||||
defaultIsBusiness: null, // User decides per item
|
||||
defaultIsBusiness: true, // Default to business for normal receipts
|
||||
requiresReview: false,
|
||||
warningMessage: null,
|
||||
}
|
||||
|
||||
@@ -9,9 +9,9 @@
|
||||
|
||||
import 'server-only'
|
||||
import type { SupabaseClient } from '@supabase/supabase-js'
|
||||
import type { Receipt, ReceiptMatchCandidate } from '@/types'
|
||||
import type { Receipt, ReceiptMatchCandidate, ReceiptExtractionResult } from '@/types'
|
||||
import { analyzeReceipt } from './receipt-analyzer'
|
||||
import { processLineItems } from './receipt-categorizer'
|
||||
import { processLineItems, getDefaultClassification } from './receipt-categorizer'
|
||||
import { autoMatchReceipts } from './receipt-matcher'
|
||||
import { eventBus } from '@/lib/events/bus'
|
||||
|
||||
@@ -20,6 +20,7 @@ export interface ReceiptPipelineOptions {
|
||||
source: 'upload' | 'camera' | 'email'
|
||||
emailFrom?: string
|
||||
storageUrl: string
|
||||
preExtracted?: ReceiptExtractionResult
|
||||
}
|
||||
|
||||
export interface ProcessedReceipt {
|
||||
@@ -43,12 +44,16 @@ export async function processReceiptFromDocument(
|
||||
mimeType: string,
|
||||
opts: ReceiptPipelineOptions
|
||||
): Promise<ProcessedReceipt> {
|
||||
// 1. Analyze receipt with Claude Vision
|
||||
// 1. Use pre-extracted data if available, otherwise analyze with Claude Vision
|
||||
const validImageType = mimeType as 'image/jpeg' | 'image/png' | 'image/webp' | 'image/gif'
|
||||
const extraction = await analyzeReceipt(base64, validImageType)
|
||||
const extraction = opts.preExtracted ?? await analyzeReceipt(base64, validImageType)
|
||||
|
||||
// 2. Categorize line items
|
||||
// 2. Categorize line items and apply default business classification
|
||||
const processedLineItems = processLineItems(extraction.lineItems)
|
||||
const { defaultIsBusiness } = getDefaultClassification(
|
||||
extraction.flags.isRestaurant,
|
||||
extraction.flags.isSystembolaget
|
||||
)
|
||||
|
||||
// 3. Insert receipt record
|
||||
const { data: receipt, error: insertError } = await supabase
|
||||
@@ -98,6 +103,7 @@ export async function processReceiptFromDocument(
|
||||
suggested_category: item.suggestedCategory,
|
||||
category: item.category,
|
||||
bas_account: item.basAccount,
|
||||
is_business: defaultIsBusiness,
|
||||
sort_order: index,
|
||||
}))
|
||||
|
||||
|
||||
@@ -41,7 +41,7 @@ export default function ReceiptsPage() {
|
||||
setIsLoading(true)
|
||||
try {
|
||||
const [receiptsRes, queueRes] = await Promise.all([
|
||||
fetch('/api/extensions/receipt-ocr'),
|
||||
fetch('/api/extensions/ext/receipt-ocr'),
|
||||
fetch('/api/extensions/ext/receipt-ocr/queue'),
|
||||
])
|
||||
|
||||
|
||||
Reference in New Issue
Block a user