New classification logic etc
This commit is contained in:
@@ -249,7 +249,7 @@ describe('findMatchingTemplates', () => {
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mcc_code: 5817,
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})
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const matches = findMatchingTemplates(tx)
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expect(matches.length).toBeLessThanOrEqual(5)
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expect(matches.length).toBeLessThanOrEqual(20)
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})
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it('results are sorted by confidence descending', () => {
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@@ -0,0 +1,199 @@
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import { describe, it, expect, vi, beforeEach } from 'vitest'
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import { makeTransaction, createMockSupabase } from '@/tests/helpers'
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import { BOOKING_TEMPLATES } from '../booking-templates'
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// Mock server-only (no-op in tests)
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vi.mock('server-only', () => ({}))
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// Mock OpenAI Embeddings
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vi.mock('@langchain/openai', () => {
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class MockOpenAIEmbeddings {
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embedQuery = vi.fn().mockResolvedValue(new Array(1536).fill(0.1))
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embedDocuments = vi.fn().mockImplementation((texts: string[]) =>
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Promise.resolve(texts.map(() => new Array(1536).fill(0.1)))
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)
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}
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return { OpenAIEmbeddings: MockOpenAIEmbeddings }
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})
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// Mock Supabase
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const { supabase: mockSupabase, mockResult } = createMockSupabase()
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vi.mock('@/lib/supabase/server', () => ({
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createServiceClient: vi.fn().mockResolvedValue(mockSupabase),
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}))
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describe('template-embeddings', () => {
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beforeEach(() => {
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vi.clearAllMocks()
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})
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describe('buildEmbeddingText', () => {
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it('includes all relevant fields for a template', async () => {
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const { buildEmbeddingText } = await import('../template-embeddings')
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const template = BOOKING_TEMPLATES.find((t) => t.id === 'premises_rent')!
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const text = buildEmbeddingText(template)
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// Should include Swedish and English name
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expect(text).toContain('Lokalhyra')
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expect(text).toContain('Office rent')
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// Should include description
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expect(text).toContain(template.description_sv)
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// Should include keywords
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expect(text).toContain('hyra')
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expect(text).toContain('lokal')
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// Should include group
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expect(text).toContain('premises')
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// Should include direction
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expect(text).toContain('utgift')
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// Should include accounts
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expect(text).toContain('5010')
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expect(text).toContain('1930')
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})
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it('includes VAT treatment when present', async () => {
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const { buildEmbeddingText } = await import('../template-embeddings')
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const template = BOOKING_TEMPLATES.find((t) => t.id === 'premises_electricity')!
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const text = buildEmbeddingText(template)
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expect(text).toContain('standard_25')
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expect(text).toContain('25%')
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})
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it('includes special rules when present', async () => {
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const { buildEmbeddingText } = await import('../template-embeddings')
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const template = BOOKING_TEMPLATES.find((t) => t.id === 'premises_rent')!
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const text = buildEmbeddingText(template)
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expect(text).toContain(template.special_rules_sv!)
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})
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it('includes MCC codes when present', async () => {
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const { buildEmbeddingText } = await import('../template-embeddings')
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const template = BOOKING_TEMPLATES.find((t) => t.id === 'premises_electricity')!
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const text = buildEmbeddingText(template)
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expect(text).toContain('4900')
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})
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it('includes deductibility note for non-full deductibility', async () => {
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const { buildEmbeddingText } = await import('../template-embeddings')
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const template = BOOKING_TEMPLATES.find((t) => t.deductibility === 'non_deductible')!
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const text = buildEmbeddingText(template)
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expect(text).toContain('non_deductible')
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})
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it('generates text for all 100 templates without error', async () => {
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const { buildEmbeddingText } = await import('../template-embeddings')
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for (const template of BOOKING_TEMPLATES) {
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const text = buildEmbeddingText(template)
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expect(text.length).toBeGreaterThan(10)
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}
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})
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})
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describe('buildTransactionQueryText', () => {
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it('combines description, merchant, and direction', async () => {
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const { buildTransactionQueryText } = await import('../template-embeddings')
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const tx = makeTransaction({
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description: 'SPOTIFY PREMIUM',
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merchant_name: 'Spotify',
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amount: -109,
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mcc_code: 5815,
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})
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const text = buildTransactionQueryText(tx)
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expect(text).toContain('SPOTIFY PREMIUM')
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expect(text).toContain('Spotify')
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expect(text).toContain('MCC 5815')
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expect(text).toContain('utgift')
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})
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it('marks positive amounts as income', async () => {
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const { buildTransactionQueryText } = await import('../template-embeddings')
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const tx = makeTransaction({
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description: 'Inbetalning',
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amount: 5000,
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})
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const text = buildTransactionQueryText(tx)
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expect(text).toContain('intäkt')
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})
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it('handles null merchant_name and mcc_code', async () => {
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const { buildTransactionQueryText } = await import('../template-embeddings')
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const tx = makeTransaction({
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description: 'Some payment',
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merchant_name: null,
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mcc_code: null,
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amount: -100,
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})
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const text = buildTransactionQueryText(tx)
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expect(text).toContain('Some payment')
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expect(text).toContain('utgift')
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expect(text).not.toContain('MCC')
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})
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})
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describe('getSchemaVersion', () => {
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it('returns a consistent hash string', async () => {
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const { getSchemaVersion } = await import('../template-embeddings')
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const v1 = getSchemaVersion()
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const v2 = getSchemaVersion()
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expect(v1).toBe(v2)
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expect(v1).toHaveLength(12)
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expect(v1).toMatch(/^[a-f0-9]+$/)
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})
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})
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describe('findSimilarTemplates', () => {
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it('returns empty array on RPC error (graceful fallback)', async () => {
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const { findSimilarTemplates } = await import('../template-embeddings')
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// Mock staleness check
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mockResult({ data: { schema_version: 'test' }, error: null })
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const tx = makeTransaction({
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description: 'SPOTIFY',
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amount: -109,
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})
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// The mock will return error for the RPC call
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mockResult({ data: null, error: { message: 'RPC failed' } })
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const results = await findSimilarTemplates(tx)
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expect(results).toEqual([])
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})
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it('returns empty array when no embeddings exist', async () => {
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const { findSimilarTemplates } = await import('../template-embeddings')
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mockResult({ data: [], error: null })
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const tx = makeTransaction({
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description: 'Random purchase',
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amount: -50,
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})
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const results = await findSimilarTemplates(tx)
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expect(results).toEqual([])
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})
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})
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})
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@@ -617,7 +617,7 @@ export const BOOKING_TEMPLATES: readonly BookingTemplate[] = [
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deductibility: 'full',
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special_rules_sv: 'Ofta utländsk leverantör (USA) med omvänd skattskyldighet',
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mcc_codes: [],
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keywords: ['openai', 'chatgpt', 'anthropic', 'claude', 'ai', 'midjourney', 'copilot'],
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keywords: ['openai', 'chatgpt', 'anthropic', 'claude', 'ai', 'midjourney', 'copilot', 'mistral', 'claude', 'gemini'],
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risk_level: 'NONE',
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requires_review: false,
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impact_score: 7,
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@@ -663,7 +663,7 @@ export const BOOKING_TEMPLATES: readonly BookingTemplate[] = [
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vat_rate: 0.25,
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deductibility: 'full',
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mcc_codes: [5111, 5112, 5943, 5944],
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keywords: ['kontorsmaterial', 'pennor', 'papper', 'office supplies', 'staples', 'kontorsvaror'],
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keywords: ['kontorsmaterial', 'pennor', 'papper', 'office supplies', 'staples', 'kontorsvaror', 'kontor'],
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risk_level: 'NONE',
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requires_review: false,
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impact_score: 7,
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@@ -2534,7 +2534,7 @@ export function findMatchingTemplates(
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return results
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.sort((a, b) => b.confidence - a.confidence)
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.slice(0, 5)
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.slice(0, 20)
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}
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/**
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@@ -0,0 +1,255 @@
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/**
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* Template Embeddings Module
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*
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* SERVER-ONLY: Uses OpenAI embeddings and Supabase service client.
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*
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* Provides semantic search over booking templates using pgvector.
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* Templates are pre-embedded and stored in the database. Transaction
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* text is embedded at query time and compared via cosine similarity.
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*/
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import 'server-only'
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import { OpenAIEmbeddings } from '@langchain/openai'
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import {
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BOOKING_TEMPLATES,
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getTemplateById,
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type BookingTemplate,
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type TemplateMatch,
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} from './booking-templates'
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import type { Transaction, EntityType } from '@/types'
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import { createHash } from 'crypto'
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// ============================================================
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// Constants
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// ============================================================
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export const EMBEDDING_MODEL = 'text-embedding-3-small'
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const EMBEDDING_LOGIC_VERSION = '1'
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const MATCH_COUNT = 20
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const MATCH_THRESHOLD = 0.5
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/**
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* Schema version is a hash of the model + embedding logic version.
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* Bump EMBEDDING_LOGIC_VERSION when buildEmbeddingText changes.
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*/
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export function getSchemaVersion(): string {
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return createHash('sha256')
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.update(`${EMBEDDING_MODEL}:${EMBEDDING_LOGIC_VERSION}`)
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.digest('hex')
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.slice(0, 12)
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}
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// ============================================================
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// Embedding Text Builders
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// ============================================================
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/**
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* Build a rich text representation of a template for embedding.
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* Includes all semantically relevant fields.
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*/
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export function buildEmbeddingText(template: BookingTemplate): string {
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const parts: string[] = []
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parts.push(`${template.name_sv} (${template.name_en})`)
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parts.push(template.description_sv)
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if (template.keywords.length > 0) {
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parts.push(`Nyckelord: ${template.keywords.join(', ')}`)
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}
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parts.push(`Grupp: ${template.group}`)
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parts.push(`Typ: ${template.direction === 'expense' ? 'utgift' : template.direction === 'income' ? 'intäkt' : 'överföring'}`)
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parts.push(`Konton: ${template.debit_account} (debet) / ${template.credit_account} (kredit)`)
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if (template.vat_treatment) {
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parts.push(`Moms: ${template.vat_treatment} (${template.vat_rate * 100}%)`)
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}
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if (template.special_rules_sv) {
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parts.push(`Regler: ${template.special_rules_sv}`)
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}
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if (template.mcc_codes.length > 0) {
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parts.push(`MCC-koder: ${template.mcc_codes.join(', ')}`)
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}
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if (template.deductibility !== 'full') {
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parts.push(`Avdragsrätt: ${template.deductibility}`)
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}
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return parts.join('. ')
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}
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/**
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* Build query text from a transaction for embedding search.
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*/
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export function buildTransactionQueryText(transaction: Transaction): string {
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const parts: string[] = []
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if (transaction.description) {
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parts.push(transaction.description)
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}
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if (transaction.merchant_name) {
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parts.push(transaction.merchant_name)
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}
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if (transaction.mcc_code) {
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parts.push(`MCC ${transaction.mcc_code}`)
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}
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parts.push(transaction.amount < 0 ? 'utgift' : 'intäkt')
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return parts.join(' — ')
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}
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// ============================================================
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// Embeddings Client
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// ============================================================
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let embeddingsInstance: OpenAIEmbeddings | null = null
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function getEmbeddingsClient(): OpenAIEmbeddings {
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if (!embeddingsInstance) {
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embeddingsInstance = new OpenAIEmbeddings({
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modelName: EMBEDDING_MODEL,
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openAIApiKey: process.env.OPENAI_API_KEY,
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})
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}
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return embeddingsInstance
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}
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// ============================================================
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// Seed All Template Embeddings
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// ============================================================
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export async function seedAllTemplateEmbeddings(): Promise<{
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seeded: number
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errors: string[]
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}> {
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const { createServiceClient } = await import('@/lib/supabase/server')
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const supabase = await createServiceClient()
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const embeddings = getEmbeddingsClient()
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const schemaVersion = getSchemaVersion()
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const errors: string[] = []
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// Build texts for all templates
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const texts = BOOKING_TEMPLATES.map((t) => buildEmbeddingText(t))
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// Batch embed all texts
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let vectors: number[][]
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try {
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vectors = await embeddings.embedDocuments(texts)
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} catch (error) {
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return { seeded: 0, errors: [`Embedding generation failed: ${error}`] }
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}
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// Upsert each template embedding
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let seeded = 0
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for (let i = 0; i < BOOKING_TEMPLATES.length; i++) {
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const template = BOOKING_TEMPLATES[i]
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const { error } = await supabase
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.from('booking_template_embeddings')
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.upsert(
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{
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template_id: template.id,
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embedding: JSON.stringify(vectors[i]),
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embedding_text: texts[i],
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model: EMBEDDING_MODEL,
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schema_version: schemaVersion,
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},
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{ onConflict: 'template_id' }
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)
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if (error) {
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errors.push(`Failed to upsert ${template.id}: ${error.message}`)
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} else {
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seeded++
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}
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}
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return { seeded, errors }
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}
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// ============================================================
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// Find Similar Templates (Semantic Search)
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// ============================================================
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let stalenessWarned = false
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export async function findSimilarTemplates(
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transaction: Transaction,
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entityType?: EntityType,
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matchCount: number = MATCH_COUNT
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): Promise<TemplateMatch[]> {
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try {
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const { createServiceClient } = await import('@/lib/supabase/server')
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const supabase = await createServiceClient()
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const embeddings = getEmbeddingsClient()
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// Check schema version staleness on first call
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if (!stalenessWarned) {
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const { data: sample } = await supabase
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.from('booking_template_embeddings')
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.select('schema_version')
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.limit(1)
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.single()
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if (sample && sample.schema_version !== getSchemaVersion()) {
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console.warn(
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`[template-embeddings] Schema version mismatch: DB has "${sample.schema_version}", current is "${getSchemaVersion()}". Re-seed embeddings.`
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)
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}
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stalenessWarned = true
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}
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// Embed the transaction query text
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const queryText = buildTransactionQueryText(transaction)
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const queryVector = await embeddings.embedQuery(queryText)
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// Request extra results to account for post-filtering
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const requestCount = matchCount + 10
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const { data, error } = await supabase.rpc('match_booking_templates', {
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query_embedding: JSON.stringify(queryVector),
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match_count: requestCount,
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match_threshold: MATCH_THRESHOLD,
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})
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if (error || !data) {
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console.error('[template-embeddings] RPC error:', error)
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return []
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}
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// Map RPC results to TemplateMatch[], filtering by entity type and direction
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const isExpense = transaction.amount < 0
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const isIncome = transaction.amount > 0
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const results: TemplateMatch[] = []
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for (const row of data as { template_id: string; similarity: number }[]) {
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const template = getTemplateById(row.template_id)
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if (!template) continue
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// Filter by entity applicability
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if (entityType && template.entity_applicability !== 'all' && template.entity_applicability !== entityType) {
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continue
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}
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// Filter by direction
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if (template.direction === 'expense' && !isExpense) continue
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if (template.direction === 'income' && !isIncome) continue
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results.push({
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template,
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confidence: Math.round(row.similarity * 100) / 100,
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})
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if (results.length >= matchCount) break
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}
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return results
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} catch (error) {
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console.error('[template-embeddings] findSimilarTemplates failed:', error)
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return []
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}
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}
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@@ -12,7 +12,7 @@ describe('sectors registry', () => {
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})
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it('should have 18 total extensions', () => {
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expect(getAllExtensions().length).toBe(18)
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expect(getAllExtensions().length).toBe(19)
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})
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|
||||
it('should have unique slugs within each sector', () => {
|
||||
|
||||
@@ -3,6 +3,7 @@ import {
|
||||
Sparkles,
|
||||
MessageSquare,
|
||||
Bell,
|
||||
Inbox,
|
||||
Landmark,
|
||||
UtensilsCrossed,
|
||||
ChefHat,
|
||||
@@ -31,6 +32,7 @@ const ICON_MAP: Record<string, LucideIcon> = {
|
||||
Sparkles,
|
||||
MessageSquare,
|
||||
Bell,
|
||||
Inbox,
|
||||
Landmark,
|
||||
UtensilsCrossed,
|
||||
ChefHat,
|
||||
|
||||
@@ -6,6 +6,7 @@ import { sruExportExtension } from '@/extensions/sru-export'
|
||||
import { neBilagaExtension } from '@/extensions/ne-bilaga'
|
||||
import { aiChatExtension } from '@/extensions/general/ai-chat'
|
||||
import { invoiceInboxExtension } from '@/extensions/general/invoice-inbox'
|
||||
import { calendarExtension } from '@/extensions/general/calendar'
|
||||
import type { Extension } from './types'
|
||||
|
||||
// ── Enable Banking (PSD2) — opt-in extension ───────────────────────────
|
||||
@@ -28,6 +29,7 @@ const FIRST_PARTY_EXTENSIONS: Extension[] = [
|
||||
neBilagaExtension,
|
||||
aiChatExtension,
|
||||
invoiceInboxExtension,
|
||||
calendarExtension,
|
||||
// enableBankingExtension, // Uncomment to activate PSD2 bank sync
|
||||
]
|
||||
|
||||
|
||||
@@ -51,6 +51,12 @@ export const SECTORS: Sector[] = [
|
||||
description: 'AI-assistent för skatte- och bokföringsfrågor',
|
||||
longDescription:
|
||||
'Ställ frågor om skatt, bokföring och företagande till en AI-assistent som förstår svensk redovisning. Svar baserade på aktuella regler och praxis.',
|
||||
quickAction: {
|
||||
label: 'AI-assistent',
|
||||
description: 'Fråga om bokföring',
|
||||
icon: 'MessageSquare',
|
||||
event: 'open-ai-chat',
|
||||
},
|
||||
},
|
||||
{
|
||||
slug: 'push-notifications',
|
||||
@@ -76,6 +82,18 @@ export const SECTORS: Sector[] = [
|
||||
longDescription:
|
||||
'Skicka leverantörsfakturor till en dedikerad e-postadress eller ladda upp manuellt. AI extraherar automatiskt leverantörsdata, belopp och moms. Granska och bekräfta med ett klick för att skapa leverantörsfakturor.',
|
||||
},
|
||||
{
|
||||
slug: 'calendar',
|
||||
name: 'Kalender',
|
||||
sector: 'general',
|
||||
category: 'operations',
|
||||
icon: 'Calendar',
|
||||
dataPattern: 'core',
|
||||
readsCoreTables: ['invoices', 'deadlines', 'customers'],
|
||||
description: 'Fullstandig kalendervy med manads-, vecko- och dagsvisning',
|
||||
longDescription:
|
||||
'Se alla fakturadatum och deadlines i en interaktiv kalender med manads-, vecko- och dagsvy.',
|
||||
},
|
||||
{
|
||||
slug: 'enable-banking',
|
||||
name: 'Bankintegration (PSD2)',
|
||||
|
||||
@@ -15,6 +15,16 @@ export type SectorSlug = 'general' | 'restaurant' | 'construction' | 'hotel' | '
|
||||
/** How an extension gets its data */
|
||||
export type ExtensionDataPattern = 'core' | 'manual' | 'both'
|
||||
|
||||
/** Dashboard quick action declared by an extension */
|
||||
export interface QuickActionDefinition {
|
||||
label: string
|
||||
description: string
|
||||
icon: string
|
||||
href?: string
|
||||
event?: string
|
||||
order?: number
|
||||
}
|
||||
|
||||
/** Extension metadata for the marketplace and workspace routing */
|
||||
export interface ExtensionDefinition {
|
||||
slug: string
|
||||
@@ -28,6 +38,7 @@ export interface ExtensionDefinition {
|
||||
dataPattern: ExtensionDataPattern
|
||||
readsCoreTables?: string[]
|
||||
hasOwnData?: boolean
|
||||
quickAction?: QuickActionDefinition
|
||||
}
|
||||
|
||||
/** Sector definition with its extensions */
|
||||
|
||||
@@ -14,6 +14,7 @@ const WORKSPACES: Record<WorkspaceKey, ComponentType<WorkspaceComponentProps>> =
|
||||
'general/ai-chat': dynamic(() => import('@/components/extensions/general/AiChatWorkspace')),
|
||||
'general/push-notifications': dynamic(() => import('@/components/extensions/general/PushNotificationsWorkspace')),
|
||||
'general/invoice-inbox': dynamic(() => import('@/components/extensions/general/InvoiceInboxWorkspace')),
|
||||
'general/calendar': dynamic(() => import('@/components/extensions/general/CalendarWorkspace')),
|
||||
'general/enable-banking': dynamic(() => import('@/components/extensions/general/EnableBankingWorkspace')),
|
||||
// Restaurant
|
||||
'restaurant/food-cost': dynamic(() => import('@/components/extensions/restaurant/FoodCostWorkspace')),
|
||||
|
||||
@@ -1,6 +1,7 @@
|
||||
import { suggestCategory } from '@/lib/tax/expense-warnings'
|
||||
import { getExpenseAccountForCategory } from '@/lib/bookkeeping/category-mapping'
|
||||
import { findMatchingTemplates, type TemplateMatch } from '@/lib/bookkeeping/booking-templates'
|
||||
import { findSimilarTemplates } from '@/lib/bookkeeping/template-embeddings'
|
||||
import type { Transaction, TransactionCategory, EntityType, MappingRule } from '@/types'
|
||||
|
||||
export interface SuggestedCategory {
|
||||
@@ -198,13 +199,25 @@ export interface SuggestedTemplate {
|
||||
|
||||
/**
|
||||
* Get suggested booking templates for a transaction.
|
||||
* Uses multi-signal matching (MCC, keywords, description patterns).
|
||||
* Tries embedding-based semantic search first, falls back to keyword matching.
|
||||
*/
|
||||
export function getSuggestedTemplates(
|
||||
export async function getSuggestedTemplates(
|
||||
transaction: Transaction,
|
||||
entityType?: EntityType
|
||||
): SuggestedTemplate[] {
|
||||
const matches = findMatchingTemplates(transaction, entityType)
|
||||
): Promise<SuggestedTemplate[]> {
|
||||
let matches: TemplateMatch[]
|
||||
|
||||
try {
|
||||
matches = await findSimilarTemplates(transaction, entityType)
|
||||
} catch {
|
||||
matches = []
|
||||
}
|
||||
|
||||
// Fall back to keyword matching if embedding search returns nothing
|
||||
if (matches.length === 0) {
|
||||
matches = findMatchingTemplates(transaction, entityType)
|
||||
}
|
||||
|
||||
return matches.map((m: TemplateMatch) => ({
|
||||
template_id: m.template.id,
|
||||
name_sv: m.template.name_sv,
|
||||
|
||||
Reference in New Issue
Block a user