* fix(invoice-inbox): parse AI extraction output wrapped in markdown fences
Since the Sonnet 5 switch (2d543ac99, 2026-07-27) the model intermittently
wraps its JSON answer in ```json fences or adds a short preamble despite
the JSON-only system-prompt rule. JSON.parse(rawText) then threw, the
catch swallowed the error into emptyResult(), and the user got a blank
extraction form: 10-20% of prod receipt extractions since July 28 landed
empty (confidence 0) while the Bedrock call was still paid for.
Slice the raw response from the first '{' to the last '}' before parsing.
Fenced, prefixed, and suffixed outputs now parse; brace-less prose
refusals fall through to the existing empty-result path unchanged. Covers
both pipelines (invoice-inbox upload/email/whatsapp and the
document-extraction extension) since they share extractInvoiceFields.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(invoice-inbox): depth-aware JSON extraction instead of naive brace slice
Review findings (CodeRabbit, PR Agent, compliance swarm) converged on the
same edge case: first-'{'/last-'}' slicing picks a wrong span when the
model's surrounding prose itself contains braces. Replace it with a
string- and escape-aware balanced scan that returns the first candidate
JSON.parse accepts; prose-only responses still fall through unchanged to
the empty-result path. Two regression tests: braces in surrounding prose,
braces inside JSON string values.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
* fix(invoice-inbox): bound the JSON candidate scan against pathological input
Compliance swarm round 2 (A.8.28/A.8.29, non-blocking): the balanced-brace
scan restarted from every '{' with no bound, worst-case quadratic on
adversarially brace-laden text. Cap input length at 256 KB and candidate
attempts at 50; real model output is capped by MAX_TOKENS at roughly 33 KB
so genuine responses never come near either bound. Exhausted or oversized
input falls through unchanged to the existing empty-result path. Two tests:
100k-brace pathological input completes fast and lands empty, oversized
input skips scanning entirely.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
---------
Co-authored-by: Claude Fable 5 <noreply@anthropic.com>
499 lines
22 KiB
TypeScript
499 lines
22 KiB
TypeScript
// AI-driven invoice/receipt field extraction.
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//
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// Sends the uploaded document directly to Claude Sonnet 4.6 via AWS
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// Bedrock and asks for a structured InvoiceExtractionResult JSON. Sonnet
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// reads PDFs, images, and scans natively, which the previous regex
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// extractor couldn't: that's why English receipts (Anthropic, AWS,
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// Stripe, …) and image-only PDFs came back empty.
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//
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// The AI output is validated against a Zod schema; anything that doesn't
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// parse falls back to an empty result so the inbox row still lands and
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// the user can fill the fields in manually.
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import { createHash } from 'node:crypto'
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import AnthropicBedrock from '@anthropic-ai/bedrock-sdk'
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import { z } from 'zod'
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import type { InvoiceExtractionResult } from '@/types'
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import { createLogger } from '@/lib/logger'
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const log = createLogger('invoice-inbox-extract')
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// Both overridable via env vars so ops can swap models / raise token caps
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// without a code deploy. Defaults match what's expected to be set in
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// production (eu.anthropic.claude-sonnet-5 in eu-north-1, 8192 tokens:
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// enough headroom for invoices with 20+ line items).
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const MODEL = process.env.BEDROCK_MODEL_ID || 'eu.anthropic.claude-sonnet-5'
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const MAX_TOKENS = (() => {
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const parsed = Number(process.env.BEDROCK_MAX_TOKENS)
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// Use the env value only if it's a positive number: `||` would also
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// fall back on a deliberate `0`, masking what is really an invalid
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// configuration rather than the intent to disable.
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return Number.isFinite(parsed) && parsed > 0 ? parsed : 8192
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})()
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// Bedrock supports these document/image media types directly. HEIC/HEIF
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// are not on the list, so we skip AI for those: the inbox row still
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// lands and the user can edit fields manually or replace the file.
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const SUPPORTED_MEDIA_TYPES = new Set([
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'application/pdf',
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'image/jpeg',
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'image/png',
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'image/webp',
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'image/gif',
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])
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export interface ExtractionInput {
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buffer: Buffer
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mimeType: string
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fileName: string
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}
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export interface ExtractionOutput {
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data: InvoiceExtractionResult
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/** The raw JSON string returned by the model, or null on failure. */
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rawText: string | null
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}
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// Classification fields are nullable AND .catch(null): a hallucinated enum
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// value must degrade to "unknown", never fail the whole document parse. The
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// amount/date fields keep strict parsing on purpose: a malformed amount
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// SHOULD reject the output rather than store garbage.
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const DocumentKind = z
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.enum(['receipt', 'supplier_invoice', 'government_letter', 'other'])
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.nullable()
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.catch(null)
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const PaymentMethod = z
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.enum(['card', 'swish', 'cash', 'invoice', 'other'])
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.nullable()
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.catch(null)
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const MerchantCategory = z
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.enum(['restaurant', 'cafe', 'taxi', 'parking', 'fuel', 'grocery', 'hotel', 'other'])
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.nullable()
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.catch(null)
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const Legibility = z.enum(['good', 'partial', 'unreadable']).nullable().catch(null)
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export const ExtractionSchema = z.object({
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// All optional: raw model outputs cached before these fields existed must
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// still validate (same convention as servicePeriodStart/End below). These
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// route UI emphasis and clarifying questions only; they never book anything.
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documentKind: DocumentKind.optional(),
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merchantCategory: MerchantCategory.optional(),
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legibility: Legibility.optional(),
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purchaseTime: z
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.string()
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.regex(/^([01]\d|2[0-3]):[0-5]\d$/)
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.nullable()
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.catch(null)
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.optional(),
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payment: z
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.object({
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method: PaymentMethod,
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// Length + digits-only, deliberately not the shared four-digit
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// invariant from @/lib/invariants: this is the tail of a masked card
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// number, not a BAS account and not a fiscal year.
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cardLast4: z.string().length(4).regex(/^\d+$/).nullable().catch(null),
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})
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.nullable()
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.catch(null)
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.optional(),
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supplier: z.object({
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name: z.string().nullable(),
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orgNumber: z.string().nullable(),
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vatNumber: z.string().nullable(),
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address: z.string().nullable(),
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bankgiro: z.string().nullable(),
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plusgiro: z.string().nullable(),
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}),
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invoice: z.object({
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invoiceNumber: z.string().nullable(),
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invoiceDate: z.string().nullable(),
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dueDate: z.string().nullable(),
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paymentReference: z.string().nullable(),
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currency: z.string(),
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// Service/coverage window the invoice charges for (insurance period,
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// license term, "avtalsperiod"). Drives the periodisering prefill in the
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// supplier-invoice form. Optional so cached raw outputs from before this
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// field still validate.
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servicePeriodStart: z.string().nullable().optional(),
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servicePeriodEnd: z.string().nullable().optional(),
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}),
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lineItems: z.array(
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z.object({
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description: z.string(),
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quantity: z.number(),
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unitPrice: z.number().nullable(),
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lineTotal: z.number(),
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// Sane range for any real-world VAT rate. We allow non-Swedish rates
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// (UK 20, DE 19, NO 25, ...) since Accounted stores foreign invoices
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// for reference; the strict Swedish allowlist applies later when the
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// user converts to a supplier invoice.
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vatRate: z.number().min(0).max(100).nullable(),
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// accountSuggestion is forcibly null at parse time: we never
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// delegate BAS account assignment to an unvalidated AI output.
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// .transform coerces a hallucinated string to null without
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// failing the whole document parse, and eliminates the
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// post-validation null-forcing pattern that left a brief window
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// where a non-null value could appear in the parsed object.
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accountSuggestion: z.union([z.string(), z.null()]).transform(() => null as null),
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})
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),
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totals: z.object({
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subtotal: z.number().nullable(),
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vatAmount: z.number().nullable(),
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total: z.number().nullable(),
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// Öresavrundning line on Swedish receipts (can be negative). Optional so
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// cached raw outputs from before the field still validate.
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roundingAmount: z.number().nullable().catch(null).optional(),
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}),
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vatBreakdown: z.array(
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z.object({
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rate: z.number().min(0).max(100),
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base: z.number(),
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amount: z.number(),
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})
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),
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})
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// Agent-supplied extraction: accountSuggestion is preserved instead of forced
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// to null. Agents (unlike AI extractors) can reliably assign a BAS expense
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// account; the regex enforces the class-4-7 range required for cost accounts.
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export const AgentExtractionSchema = ExtractionSchema.omit({ lineItems: true }).extend({
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lineItems: z.array(
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z.object({
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description: z.string(),
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quantity: z.number(),
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unitPrice: z.number().nullable(),
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lineTotal: z.number(),
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vatRate: z.number().min(0).max(100).nullable(),
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accountSuggestion: z.string().regex(/^[4-7]\d{3}$/).nullable(),
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})
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),
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})
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const SYSTEM_PROMPT = `You extract invoice and receipt fields from a single document for a Swedish accounting system.
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Return ONLY a single JSON object that matches this schema exactly. No prose, no markdown fences, no commentary.
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{
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"documentKind": "receipt" | "supplier_invoice" | "government_letter" | "other" | null,
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"merchantCategory": "restaurant" | "cafe" | "taxi" | "parking" | "fuel" | "grocery" | "hotel" | "other" | null,
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"legibility": "good" | "partial" | "unreadable",
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"purchaseTime": string | null, // "HH:MM" 24h, receipts only
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"payment": { "method": "card" | "swish" | "cash" | "invoice" | "other" | null, "cardLast4": string | null } | null,
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"supplier": {
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"name": string | null,
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"orgNumber": string | null, // 10 digits, no hyphen, only when issued by a Swedish entity
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"vatNumber": string | null, // ISO format, e.g. "SE556012579001" or "DE123456789"
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"address": string | null, // multi-line allowed
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"bankgiro": string | null, // Swedish bankgiro, with hyphen, e.g. "991-2346"
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"plusgiro": string | null // Swedish plusgiro, with hyphen, e.g. "12345-6"
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},
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"invoice": {
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"invoiceNumber": string | null, // include any suffix, e.g. "06655767-0007"
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"invoiceDate": string | null, // ISO date YYYY-MM-DD
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"dueDate": string | null, // ISO date YYYY-MM-DD
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"paymentReference": string | null, // OCR / payment reference
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"currency": string, // ISO 4217 (SEK, USD, EUR, ...). Default "SEK" only if truly indeterminate.
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"servicePeriodStart": string | null, // ISO date: start of the service/coverage window the invoice charges for
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"servicePeriodEnd": string | null // ISO date: end of that window
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},
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"lineItems": [
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{
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"description": string,
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"quantity": number,
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"unitPrice": number | null,
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"lineTotal": number,
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"vatRate": number | null, // percent integer: 25, 12, 6, or 0. Same convention as vatBreakdown.rate.
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"accountSuggestion": null // always null: leave Swedish BAS suggestion to the user
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}
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],
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"totals": {
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"subtotal": number | null, // amount excluding VAT
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"vatAmount": number | null, // total VAT
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"total": number | null, // amount including VAT: what the buyer actually pays
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"roundingAmount": number | null // öresavrundning line, may be negative, e.g. -0.37
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},
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"vatBreakdown": [
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{ "rate": number, "base": number, "amount": number } // rate as percent integer, e.g. 25 for 25%
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]
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}
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VAT rate convention: BOTH lineItems[].vatRate AND vatBreakdown[].rate use the same percent-integer format (25, 12, 6, 0). Never use the decimal form (0.25, 0.12).
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Rules:
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- Output JSON only. The first character must be '{' and the last must be '}'.
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- documentKind: "receipt" = point-of-sale proof of a COMPLETED payment (kassakvitto, kortkvitto, taxi/parking slip, webshop order confirmation marked paid). "supplier_invoice" = a request for payment (has due date, OCR/payment reference, bankgiro, "Att betala senast"). "government_letter" = correspondence from a myndighet (Skatteverket, Bolagsverket, Försäkringskassan...). "other" = contracts, statements, reports. null only when truly indeterminate.
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- merchantCategory: judge from the merchant name and line items (a receipt from "Prinsen" listing food and wine is "restaurant" even without the word). Use "other" when unsure. null for non-receipts.
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- legibility: "good" = all key amounts and the merchant are readable. "partial" = some key fields are cut off, blurry, or unreadable. "unreadable" = the document is mostly illegible (too blurry/dark/small). Judge the IMAGE quality, not whether fields exist on the document.
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- payment: only for documents that show how payment was made. "card" for kort/VISA/Mastercard; cardLast4 only when a masked card number like ****1234 is printed. "invoice" means the document says it will be billed separately.
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- purchaseTime: the HH:MM time printed on a receipt. null when absent.
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- Öresavrundning: Swedish receipts often show an "Avrundning"/"Öresavrundning" line. "total" is ALWAYS the amount actually paid AFTER rounding; put the rounding line in totals.roundingAmount (negative when rounded down). When present: subtotal + vatAmount + roundingAmount = total.
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- Currency: detect from the document (symbol $/€/kr or explicit code). Use the ISO 4217 code. Do NOT default to SEK if the document clearly shows another currency.
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- "total" is the amount the buyer must pay (look for "Att betala", "Total", "Amount paid", "Amount due", "Balance"). Prefer this over Subtotal.
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- Dates: convert any format to YYYY-MM-DD. If the document only shows month/year, leave null.
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- servicePeriodStart/servicePeriodEnd: only when the document explicitly states the period the charge covers ("Avtalsperiod", "Period", "Försäkringstid", "Subscription period", coverage dates). Never infer from invoice/due dates. Month-only boundaries map to the first resp. last day of the month.
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- Bankgiro/Plusgiro: only set when the document is for a Swedish supplier on a Swedish bank rail. Do not invent.
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- Org.nr: only set when it is an actual Swedish organisation number (10 digits, Luhn-valid). For US/EU companies leave null even if they list an EIN/VAT number.
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- VAT number: include the country prefix.
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- Numbers: parse with the document's locale (Swedish "1 234,56" = 1234.56; English "$1,234.56" = 1234.56). Output as plain JSON numbers.
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- If a field is missing or unreadable, set it to null. Never invent values.
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- lineItems: include every line. Empty array is fine if the document has no itemised lines.
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- vatBreakdown: include one entry per distinct VAT rate. Empty array is fine.`
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// Sonnet 5 intermittently wraps its answer in markdown fences (```json ... ```)
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// or adds prose around it, despite the JSON-only instruction in the system
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// prompt. Scan for balanced top-level '{'..'}' candidates (string- and
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// escape-aware, so braces inside JSON string values don't end a candidate
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// early) and return the first one JSON.parse accepts; prose braces around the
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// object form unparseable candidates and are skipped. Returns the input
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// unchanged when no candidate parses, so the existing parse-failure path
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// handles prose-only refusals. Zod validation downstream still rejects
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// well-formed-but-wrong JSON.
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// Bounds for the candidate scan below. Real model output is already capped
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// by MAX_TOKENS (roughly 33 KB of text at 8192 tokens), so genuine responses
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// never come near these; they exist so pathological or adversarially
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// brace-laden text cannot make the scan quadratic (compliance review
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// A.8.28). Oversized or exhausted inputs fall through to the raw text and
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// land in the existing empty-result path.
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const MAX_SCAN_INPUT_LENGTH = 256 * 1024
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const MAX_CANDIDATE_ATTEMPTS = 50
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export function extractJsonObject(raw: string): string {
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if (raw.length > MAX_SCAN_INPUT_LENGTH) return raw
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let attempts = 0
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let start = raw.indexOf('{')
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while (start !== -1 && attempts < MAX_CANDIDATE_ATTEMPTS) {
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attempts++
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let depth = 0
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let inString = false
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let escaped = false
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for (let i = start; i < raw.length; i++) {
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const ch = raw[i]
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if (inString) {
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if (escaped) escaped = false
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else if (ch === '\\') escaped = true
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else if (ch === '"') inString = false
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} else if (ch === '"') {
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inString = true
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} else if (ch === '{') {
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depth++
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} else if (ch === '}') {
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depth--
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if (depth === 0) {
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const candidate = raw.slice(start, i + 1)
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try {
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JSON.parse(candidate)
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return candidate
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} catch {
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break
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}
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}
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}
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}
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start = raw.indexOf('{', start + 1)
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}
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return raw
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}
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export function emptyResult(): InvoiceExtractionResult {
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return {
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documentKind: null,
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merchantCategory: null,
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legibility: null,
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purchaseTime: null,
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payment: null,
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supplier: {
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name: null,
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orgNumber: null,
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vatNumber: null,
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address: null,
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bankgiro: null,
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plusgiro: null,
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},
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invoice: {
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invoiceNumber: null,
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invoiceDate: null,
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dueDate: null,
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paymentReference: null,
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currency: 'SEK',
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servicePeriodStart: null,
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servicePeriodEnd: null,
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},
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lineItems: [],
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totals: { subtotal: null, vatAmount: null, total: null, roundingAmount: null },
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vatBreakdown: [],
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confidence: 0,
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}
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}
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// Anthropic rejects images above 5 MB (decoded bytes), and 12 MP phone photos
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// routinely exceed that: before this step they errored out to an empty
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// extraction. Downscaling to ≤2000px JPEG also cuts input tokens on every
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// large image. HEIC/HEIF (iPhone default) is transcoded to JPEG when the
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// local sharp/libvips build can decode it; prebuilt binaries usually cannot
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// (patent licensing), in which case the caller falls through to the
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// unsupported-type path exactly as before.
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const IMAGE_DOWNSCALE_THRESHOLD_BYTES = 4 * 1024 * 1024
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const IMAGE_MAX_DIMENSION = 2000
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async function normalizeImageForExtraction(
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input: ExtractionInput
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): Promise<ExtractionInput> {
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const isHeic = input.mimeType === 'image/heic' || input.mimeType === 'image/heif'
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const isLargeSupportedImage =
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input.mimeType.startsWith('image/') &&
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SUPPORTED_MEDIA_TYPES.has(input.mimeType) &&
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input.buffer.byteLength > IMAGE_DOWNSCALE_THRESHOLD_BYTES
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if (!isHeic && !isLargeSupportedImage) return input
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try {
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// Lazy import: sharp is a native module and only a fraction of
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// extractions need it; loading it at module scope would tax every
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// cold start of the extension route bundle.
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const sharp = (await import('sharp')).default
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const converted = await sharp(input.buffer)
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// Apply the EXIF orientation before it is lost in re-encoding:
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// phone photos are routinely stored rotated.
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.rotate()
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.resize({
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width: IMAGE_MAX_DIMENSION,
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height: IMAGE_MAX_DIMENSION,
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fit: 'inside',
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withoutEnlargement: true,
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})
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.jpeg({ quality: 80 })
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.toBuffer()
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return { buffer: converted, mimeType: 'image/jpeg', fileName: input.fileName }
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} catch (err) {
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// HEIC without libheif lands here → caller hits the unsupported-type
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// guard, same net behavior as before this step existed. For oversized
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// JPEG/PNG the original buffer is still worth attempting.
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log.warn('image normalization failed', {
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file_name_hash: createHash('sha256').update(input.fileName).digest('hex').slice(0, 12),
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mime_type: input.mimeType,
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byte_length: input.buffer.byteLength,
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error: err instanceof Error ? err.message : String(err),
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})
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return input
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}
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}
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function buildContent(input: ExtractionInput) {
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const base64 = input.buffer.toString('base64')
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if (input.mimeType === 'application/pdf') {
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return [
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{
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type: 'document' as const,
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source: { type: 'base64' as const, media_type: 'application/pdf' as const, data: base64 },
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},
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{ type: 'text' as const, text: 'Extract the fields per the schema. JSON only.' },
|
|
]
|
|
}
|
|
return [
|
|
{
|
|
type: 'image' as const,
|
|
source: {
|
|
type: 'base64' as const,
|
|
media_type: input.mimeType as 'image/jpeg' | 'image/png' | 'image/webp' | 'image/gif',
|
|
data: base64,
|
|
},
|
|
},
|
|
{ type: 'text' as const, text: 'Extract the fields per the schema. JSON only.' },
|
|
]
|
|
}
|
|
|
|
/**
|
|
* Extract invoice fields by sending the document directly to Claude
|
|
* Sonnet 4.6 via AWS Bedrock. Never throws on extraction failure:
|
|
* always returns an InvoiceExtractionResult. Empty fields are null.
|
|
*/
|
|
export async function extractInvoiceFields(
|
|
rawInput: ExtractionInput
|
|
): Promise<ExtractionOutput> {
|
|
// Transcodes HEIC when possible and downscales oversized images; a no-op
|
|
// for PDFs and normal-sized supported images.
|
|
const input = await normalizeImageForExtraction(rawInput)
|
|
|
|
if (!SUPPORTED_MEDIA_TYPES.has(input.mimeType)) {
|
|
return { data: emptyResult(), rawText: null }
|
|
}
|
|
|
|
if (!process.env.AWS_ACCESS_KEY_ID || !process.env.AWS_SECRET_ACCESS_KEY) {
|
|
log.warn('AWS Bedrock credentials missing: returning empty extraction', {
|
|
file_name_hash: createHash('sha256').update(input.fileName).digest('hex').slice(0, 12),
|
|
})
|
|
return { data: emptyResult(), rawText: null }
|
|
}
|
|
|
|
const client = new AnthropicBedrock({
|
|
awsRegion: process.env.AWS_REGION || 'eu-north-1',
|
|
awsAccessKey: process.env.AWS_ACCESS_KEY_ID,
|
|
awsSecretKey: process.env.AWS_SECRET_ACCESS_KEY,
|
|
})
|
|
|
|
let rawText: string | null = null
|
|
try {
|
|
// SYSTEM_PROMPT is byte-stable per deploy and ~3.5 KB: marking it as
|
|
// ephemeral lets Bedrock reuse the prompt-cache on rapid sequential
|
|
// extractions (e.g. a user uploading a stack of receipts within minutes).
|
|
// Bedrock supports `{ type: 'ephemeral' }` with the default short TTL;
|
|
// the 1h TTL from the agent-native API plan (item 10) requires the direct
|
|
// Anthropic API rather than Bedrock and is out of scope here.
|
|
const resp = await client.messages.create({
|
|
model: MODEL,
|
|
max_tokens: MAX_TOKENS,
|
|
system: [{ type: 'text', text: SYSTEM_PROMPT, cache_control: { type: 'ephemeral' } }],
|
|
messages: [{ role: 'user', content: buildContent(input) }],
|
|
})
|
|
|
|
rawText = resp.content
|
|
.flatMap((b) => (b.type === 'text' ? [b.text] : []))
|
|
.join('')
|
|
.trim()
|
|
|
|
// Observability for the prompt-cache hit ratio. The agent-native plan
|
|
// targets cache_read_input_tokens / total_input_tokens ≥ 0.85 in steady
|
|
// state; logging here makes that measurable without a separate dashboard.
|
|
const usage = resp.usage as
|
|
| {
|
|
input_tokens?: number
|
|
output_tokens?: number
|
|
cache_creation_input_tokens?: number
|
|
cache_read_input_tokens?: number
|
|
}
|
|
| undefined
|
|
if (usage) {
|
|
// Raw fileName can constitute personal data (e.g. "faktura_Sven_Andersson.pdf").
|
|
// Log a short hash so the operator can correlate without exposing PII
|
|
// to the log destination (GDPR Art. 5(1)(f)).
|
|
const fileNameHash = createHash('sha256').update(input.fileName).digest('hex').slice(0, 12)
|
|
log.info('ai_extraction_usage', {
|
|
file_name_hash: fileNameHash,
|
|
mime_type: input.mimeType,
|
|
input_tokens: usage.input_tokens ?? null,
|
|
output_tokens: usage.output_tokens ?? null,
|
|
cache_creation_input_tokens: usage.cache_creation_input_tokens ?? null,
|
|
cache_read_input_tokens: usage.cache_read_input_tokens ?? null,
|
|
})
|
|
}
|
|
|
|
const parsed = JSON.parse(extractJsonObject(rawText))
|
|
const validated = ExtractionSchema.parse(parsed)
|
|
|
|
return {
|
|
// accountSuggestion is null at this point, enforced by the schema's
|
|
// .transform, so no post-validation coercion is needed.
|
|
data: { ...validated, confidence: 1 },
|
|
rawText,
|
|
}
|
|
} catch (err) {
|
|
log.warn('AI extraction failed', {
|
|
file_name_hash: createHash('sha256').update(input.fileName).digest('hex').slice(0, 12),
|
|
mimeType: input.mimeType,
|
|
error: err instanceof Error ? err.message : String(err),
|
|
hasRawText: rawText != null,
|
|
})
|
|
return { data: emptyResult(), rawText }
|
|
}
|
|
}
|